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REVIEW article

Front. Nutr., 02 January 2026

Sec. Nutrition and Microbes

Volume 12 - 2025 | https://doi.org/10.3389/fnut.2025.1694831

This article is part of the Research TopicPhenolics and Gut Microbiota: Interaction and Health BenefitsView all 7 articles

The role of intestinal gases in pediatric functional constipation: a narrative review of pathophysiology and emerging therapeutics

  • 1Department of Pediatrics, The First People's Hospital of Pingjiang, Yueyang, Hunan, China
  • 2Department of Neonatology and NICU, Wenling Maternal and Child Health Care Hospital, Wenling, Zhejiang, China

Pediatric functional constipation (PFC) is a prevalent gastrointestinal disorder affecting approximately 18.2% of children worldwide, characterized by infrequent or painful bowel movements without organic cause, and significantly impairing quality of life, yet its management remains suboptimal. A central problem in its management is the high failure rate of conventional therapies; notably, treatments such as laxatives fail to achieve sustained relief in about 40% of pediatric patients, highlighting the critical need to explore novel pathophysiological mechanisms and therapeutic targets. Emerging evidence now highlights gut microbiota dysbiosis and the resulting imbalances in intestinal gases—particularly hydrogen (H₂), methane (CH₄), carbon dioxide (CO₂), and hydrogen sulfide (H₂S)—as key drivers of its pathophysiology. This review synthesizes current knowledge on how microbial gas metabolism influences gut motility in PFC: elevated CH₄, produced by methanogenic archaea such as Methanobrevibacter smithii, strongly correlates with delayed colonic transit and symptom severity, while H₂ enhances motility, and CO₂ and H₂S exert dose-dependent effects on peristalsis and mucosal signaling. Recent diagnostic advances, including H₂/CH₄ breath testing, electronic nose (E-nose) volatile organic compound profiling, and wireless motility capsules, enable non-invasive assessment of gas dynamics and transit, supporting precision phenotyping. Therapeutic strategies targeting gas-microbiota interactions—such as methane-lowering antibiotics (e.g., rifaximin), probiotics (e.g., Lactobacillus plantarum), low-fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAP) diets, and neuromodulation—show promise, but pediatric-specific thresholds, safety, and long-term outcomes remain underexplored. The principal novelty of this review lies in its integrative framework, combining gastroenterology, microbiology, and engineering perspectives to advance gas-targeted precision medicine in PFC. Finally, we identify critical research gaps —such as the lack of pediatric-specific diagnostic thresholds and long-term therapeutic validation—and emphasize the urgent need for longitudinal studies and multidisciplinary trials to translate these insights into meaningful clinical outcomes.

1 Introduction

Pediatric functional constipation (PFC) is a highly prevalent gastrointestinal disorder characterized by infrequent, painful, or difficult bowel movements without organic cause, affecting approximately 18.2% of children when diagnosed using Rome IV criteria (1, 2). However, significant geographical variations highlight the influence of local factors like diet and genetics. For example, prevalence rates of 18.6% in Curacao and 16% in Jordan demonstrate that while PFC is widespread, its burden is not uniform worldwide (3, 4). A subset of these cases progresses to childhood chronic functional constipation (CFC), which impacts up to 30% of children; notably, one-third of affected children develop persistent symptoms, including overflow incontinence, abdominal pain, and psychosocial complications such as school absenteeism and social isolation (5). These symptoms not only reduce quality of life but also increase caregiver burden but are also associated with adverse long-term outcomes. For instance, a long-term follow-up study from the Netherlands reported a 15% higher school dropout rate among individuals with a history of childhood constipation (6). Other studies have also documented enduring psychological impacts (7, 8). Despite its high burden, optimal management strategies remain elusive. Conventional treatments (e.g., laxatives) fail to achieve sustained relief in 40% of children (9), and recurrence rates exceed 50% (8). The high failure and recurrence rates are largely attributable to the fact that these conventional approaches primarily address symptoms without targeting the underlying pathophysiological mechanisms, particularly those involving gut microbiota dysbiosis and its functional outputs, such as the production of bioactive intestinal gases (10).

Clinically, PFC can be stratified into three pathophysiological subtypes by colon transit time: normal-transit constipation (the most common, 52.4%), outlet obstruction/dyssynergic defecation (25.6%), and slow-transit constipation (11). Emerging efforts to refine subtype classification using machine learning approaches show promise, particularly for refractory cases (12), but reliable phenotyping remains challenging. Diagnostic systems such as Rome III and Rome IV emphasize core symptoms (e.g., infrequent defecation, hard stools, fecal incontinence) and yield similar prevalence estimates (17.3% vs. 18.2%, respectively) (1). However, Rome IV provides more precise phenotypic characterization, which is critical for guiding targeted therapies (1). Growing evidence implicates gut microbiota dysbiosis and microbial metabolites in the pathogenesis of PFC (13, 14). The gut microbiota is a key regulator of gastrointestinal motility, and its gaseous metabolic byproducts—hydrogen (H2), methane (CH4), carbon dioxide (CO2), and hydrogen sulfide (H2S)—are increasingly recognized as potential modulators of gut motility (1517). For example, CH₄ has been linked to slowed intestinal transit (18, 19), whereas H₂ may enhance motility (20), underscoring a dynamic interplay between gas metabolism and constipation symptoms. Yet the mechanistic roles of specific intestinal gases in modulating motility and symptom severity remain poorly defined. This review systematically synthesizes current evidence on the production, metabolism, and pathophysiological effects of these gases, with a focus on their dynamic interactions with microbial communities and intestinal motility pathways. By elucidating gas–microbiota–host crosstalk, we aim to establish a framework for gas-targeted precision medicine—including diagnostic biomarkers (e.g., breath CH4) and tailored interventions (e.g., probiotics or gas-modulating agents)—to ultimately improve outcomes for children with PFC.

2 The role of intestinal gases in gut homeostasis

Intestinal gas physiology reflects a complex, dynamic system that shapes gut motility, visceral sensation, and overall gastrointestinal health. Understanding these dynamics is essential for mechanism-based therapies in PFC.

2.1 Gas composition and production

Intestinal gas production is a normal physiological process. Intestinal gases consist primarily of N₂, O₂, CO₂, H₂, and CH₄, with trace amounts of H₂S and other volatile organic compounds (VOCs). In healthy individuals, a dynamic equilibrium is maintained between production and elimination (21, 22): approximately 30–50% of gas is absorbed into the circulation, 10–20% is metabolized by intestinal microbes, and the remainder is expelled (15, 16). These gases originate from swallowed air (the main source of N2 and O2), microbial fermentation of undigested substrates (e.g., fibers, lactose), chemical reactions such as acid–bicarbonate neutralization in the duodenum, and trans-mucosal diffusion (17, 21). Colonic microbial activity is the principal source of H2, CH4, and H2S. H2 is generated by bacteria such as Bacteroides and Prevotella during carbohydrate fermentation. CH4 is produced by methanogenic archaea (e.g., Methanobrevibacter smithii) that utilize H2 and CO2, while CO2 arises from both microbial metabolism and chemical neutralization reactions (16, 17, 21).

The composition and volume of intestinal gases vary with diet, microbial ecology, and host physiology. Diet is a major determinant of gas profiles: high- fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAP) intake increases H2 and CH4 production, whereas sulfur-containing amino acids elevate H2S (21, 23). In healthy individuals, intraluminal gas volume typically ranges from 100 to 200 mL, with daily production around 700 mL, most of which is absorbed or expelled as flatus (23). Disordered fermentation, such as those seen in irritable bowel syndrome (IBS) and small intestinal bacterial overgrowth (SIBO), can drive excessive gas production or retention, contributing to bloating, abdominal pain, and altered bowel habits (16).

Maintaining a balance between gas production and consumption is critical for gut homeostasis. Microbial cross-feeding networks regulate H2 availability and support efficient fermentation, while short-chain fatty acids (SCFAs) generated during fermentation fuel colonocytes and influence motility (15, 24). Gaseous metabolites also participate in gut–brain and immune signaling (15, 24). H2-consuming bacteria and methanogens are key sinks that modulate H2 levels (25), and H2S exerts dose-dependent effects— it can be toxic at high concentrations but supports motility and mucosal defense at physiological levels (26). A nuanced understanding of these interactions can guide dietary and therapeutic strategies that modulate microbial activity and gas handling to alleviate gas-related symptoms and improve gut function. The composition and origin of intestinal gases vary significantly along the gastrointestinal tract, as summarized in Figure 1. This spatial heterogeneity underscores the importance of considering the specific site of gas production when evaluating its pathophysiological impact in disorders like PFC.

Figure 1
Illustration of the human digestive system with a focus on microbial distribution and intestinal gas composition. The stomach, duodenum, jejunum, ileum, and colon are shown with corresponding microbe densities, indicating the stomach harbors the fewest microbes and the colon the most. A pie chart displays the composition of intestinal gas: Nâ‚‚ (65.1%), CHâ‚„ (14.4%), COâ‚‚ (9.9%), Hâ‚‚ (4.4%), Oâ‚‚ (2.3%), Hâ‚‚S (2.9%), and others. Swallowed air is also labeled in the diagram.

Figure 1. Composition and distribution of intestinal gases and microbial communities along the human digest tract. A pie chart in the upper left corner details the composition of typical intestinal gas, consisting primarily of N₂ (65.1%), followed by CO₂ (14.4%), H₂ (9.9%), CH₄ (2.9%), H₂S (<1%), and other minor components (2.3%). The central schematic illustrates the digestive tract, with each section annotated according to its microbial density and gas origins. The stomach, with the lowest microbial load, contains N₂ from swallowed air and residual O₂, while CO₂ is produced by the reaction of gastric acid with food or bicarbonate. Moving downward, the duodenum and jejunum show continued CO₂ generation from acid neutralization, with minor microbial fermentation beginning to contribute. H₂ first appears in the ileum, resulting from bacterial fermentation of carbohydrates, and microbial density increases to an intermediate level (107–108 cells/mL). The colon hosts the most abundant and diverse microbial community (1011–1012 cells/mL), where gases are predominantly generated through microbial metabolism: H₂ is produced by fermentative bacteria (e.g., Bacteroides), CH₄ by methanogenic archaea (with high interindividual variation), and trace H₂S by sulfate-reducing bacteria. Swallowed N₂ persists but is partially absorbed. N₂: nitrogen; CO₂: carbon dioxide; H₂: hydrogen; CH₄: methane; H₂S: hydrogen sulfide; O₂: oxygen.

2.2 Intestinal microbiota and individual gut gases

The human gastrointestinal tract hosts a highly diverse microbial community—the intestinal microbiota—that is integral to gut homeostasis, including the regulation of intestinal gas production (2729). Through intricate metabolic interactions with dietary substrates and the host, this ecosystem generates a range of gases that are essential for normal gut function (30). Microbial density increases progressively along the gastrointestinal tract: the stomach contains the fewest organisms (approximately 102–103 cells/mL), followed by the duodenum and jejunum (103–106 cells/mL). The ileum shows a marked rise (107–109 cells/mL), and the colon harbors the highest densities (109–1012 cells/mL), underscoring the colon’s central role in fermentation and gas production (16). Within this environment, gases such as H2, CH4, and CO2—along with trace gases like H2S and nitric oxide (NO)—are produced primarily via bacterial fermentation of dietary components and through host–microbe chemical interactions (16). In human colonic gas, the five most prevalent constituents are nitrogen (N2) (65.1 ± 20.89%), oxygen (O2) (2.3 ± 0.98%), CO2 (9.9 ± 1.6%), H2 (2.9 ± 0.7%), and CH4 (14.4 ± 3.7%). While nitrogen and oxygen largely reflect swallowed air, H2, CH4, and CO2 arise predominantly from microbial metabolism, with their relative proportions shaped by diet, microbial community structure, and host physiology (16, 2729).

2.3 Hydrogen

Molecular H2 is the smallest gas molecule and readily permeates cellular membranes, diffusing throughout the body (31). Once considered biologically inert, it is now recognized as a bioactive, diffusible gas with anti-inflammatory, selective antioxidant, antiapoptotic, immunomodulatory, and metabolic regulatory properties, largely derived from commensal gut bacteria (31). H2 is a major byproduct of microbial fermentation of host-indigestible carbohydrates (e.g., dietary fibers, oligosaccharides, resistant starch) (32). More than 70% of colonic microbes—predominantly Bacteroidetes and Firmicutes—are H2-producing bacteria (HPB) that express hydrogenases and generate substantial quantities of H2, estimated at roughly 10 liters per day in healthy young adults (33, 34). Owing to its small size and lipid solubility, H2 diffuses rapidly across biological membranes. Within the lumen, a large fraction is consumed by hydrogenotrophic microorganisms, which convert H2 into other metabolites: acetate via reductive acetogens, CH4 via methanogenic archaea, and hydrogen sulfide (H2S) via sulfate-reducing bacteria (35). Thus, the balance between H2 production and hydrogenotrophic consumption is a central determinant of luminal gas ecology and downstream host effects. A portion of luminal H2 is absorbed through the intestinal epithelium, enters the circulation, and distributes systemically—including across the blood–brain barrier—where it selectively scavenges cytotoxic reactive oxygen species (particularly •OH and ONOO−) within mitochondria and other compartments, while sparing physiological redox signaling (31). H2 also modulates inflammatory and stress-response pathways, including inhibition of nuclear factor-κB (NF-κB) signaling, suppression of NLRP3 (NACHT, LRR and PYD domains-containing protein 3) inflammasome activation, and activation of the nuclear factor erythroid 2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) pathway, thereby enhancing endogenous antioxidant defenses and reducing pro-inflammatory cytokine release (31). Excess H2 not metabolized or utilized is eliminated primarily via exhalation and flatus (16, 36). Given its gut origin and detectability in exhaled breath, breath H2 is a principal clinical biomarker for carbohydrate malabsorption and small intestinal bacterial overgrowth (37). SIBO denotes an abnormal increase in small-intestinal bacterial load and is associated with diverse gastrointestinal symptoms (38). Overall H2 bioavailability reflects the dynamic interplay of production, consumption, and elimination, which in turn influences therapeutic potential across diseases and serves as a proxy for microbiota stability (39, 40). Accumulating evidence links microbiota-derived H2 to clinical phenotypes. H2 can enhance intestinal motility, suggesting therapeutic promise for constipation (20). Elevated H2 levels are reported in individuals with the diarrheal IBS phenotype (41), whereas inadequate H2 production may contribute to Parkinson’s disease pathogenesis (42, 43).

2.4 Methane

CH4 is a prominent gaseous metabolite in the human gut, produced primarily by methanogenic archaea, with Methanobrevibacter smithii being the most prevalent species (44, 45). These methanogens are oxygen-sensitive archaea adapted to anaerobic niches such as the gastrointestinal tract (46). Because CH4 is produced exclusively by gut microbes and expelled in breath and flatus, exhaled methane provides a practical, noninvasive indicator of intestinal methanogenesis (47). In humans, CH4 production occurs mainly in the distal colon, with additional production in the distal ileum—particularly relevant in SIBO (4850). Approximately 30–50% of healthy adults have detectable breath methane (51). Methanogens convert H2 and CO2 to methane via the reaction 4H2 + CO2 → CH4 + 2H2O (20). This process unfolds within a competitive H2 economy, where methanogens vie with sulfate-reducing bacteria (SRB) and acetogens for molecular hydrogen (52). Intestinal methanogenesis varies with host, microbial, and environmental factors, including ethnicity, gastrointestinal disorders, gut transit, and overall community composition, with H2 competition from nitrate-, sulfate-reducing, and acetogenic bacteria shaping flux through methanogenesis (47, 53). Additional modifiers include bile acids, body mass index (BMI), antibiotics, sanitation, genetics, and sex (47). Age is a notable determinant: infants typically lack detectable CH4 through the first 6 months, even though H2 can be detected within 24 h after birth (47, 49). In a cross-sectional cohort of 428 healthy individuals (ages 4–95 years), methane producers increased with age across 15-year strata—0% (0/3) at 1–5 years, 5.6% (3/54) under 15 years, and 57.1% (12/21) over 75 years—demonstrating a strong age-dependent rise in prevalence (47). Another study detected breath CH4 in 77% of adults (122/159), 40% of older children (2–6 years; 19/47), and 8% of young children (<2 years; 4/68) (53). Diet is a key driver: higher fiber and resistant starch (RS) intake promote methane production, likely via prebiotic effects that enrich methanogen-supporting networks (54, 55). In lactase-deficient children, unabsorbed lactose fermentation increases CH4 to 5.1 ppm at 90 min, versus 1.6 ppm with normal lactase activity, underscoring lactose malabsorption as a contributor to methanogenesis (56).

The impact of CH₄ on intestinal motility presents a compelling, though complex, picture. A body of evidence supports its inhibitory role. In animal models, CH4 slows peristalsis by increasing contraction amplitude and prolongs small-intestinal transit time by 59% (57). In humans, CH4 producers frequently display prolonged colonic transit, and case imaging with radioactive markers has linked retained colonic markers at 60 h to elevated breath methane, consistent with slow-transit constipation (58). Clinically, CH4 is associated with functional constipation and constipation-predominant IBS-C. A meta-analysis of 1,277 participants showed methane positivity correlated with IBS-C (OR 3.51; 95% CI, 2.00–6.16) (59). IBS-C patients also demonstrate increased Methanobrevibacter smithii abundance compared with healthy controls (60). Higher breath CH4 has been positively correlated with constipation severity (19), and methane positivity may reflect a blunted postprandial serotonin response, potentially contributing to impaired peristalsis (61). However, a critical interpretation of this association is warranted. The translation of these findings into a definitive pathophysiological mechanism for PFC is not straightforward. While evidence from animal models and clinical studies suggests CH₄ slows intestinal transit (57, 62, 63), its role in PFC requires critical appraisal. The literature reveals inconsistencies; for instance, a meta-analysis linked methane positivity to constipation (59), whereas Di Stefano et al. (64) found no significant association between colonic methane production and IBS symptoms or transit (64). This discrepancy may arise from methodological heterogeneity, particularly the pooling of IBS subtypes, which can obscure the specific CH₄-constipation relationship seen in more homogenous PFC populations.

2.5 Carbon dioxide

CO₂ is a critical gaseous metabolite in the human gastrointestinal (GI) tract, with roles spanning normal physiology and disease. It arises from both microbial fermentation and host metabolic processes, generated in different intestinal segments via distinct mechanisms. In the stomach and proximal small intestine, CO₂ is produced primarily through chemical reactions—most notably the neutralization of gastric acid (HCl) by dietary or pancreatic bicarbonate (HCO₃) (16, 36). In contrast, in the distal small intestine and colon, microbial fermentation of undigested carbohydrates and proteins by commensal bacteria is the dominant source (16). The resulting CO₂ is passively absorbed into the circulation more rapidly than other luminal gases (H₂, CH₄, N₂, O₂) and is subsequently eliminated via the lungs (21). Although absorption is rapid, the rate of intraluminal production often exceeds local removal at the site of generation; moreover, because a substantial fraction is absorbed and exhaled, the total gas produced in the gut typically exceeds the volume expelled as flatus (65).

Diet is a major determinant: carbonated beverages and fermentable carbohydrates (e.g., lactose, fructose, dietary fibers) furnish substrates for chemical neutralization and microbial fermentation (16, 36, 66), while protein-rich diets may increase CO₂ output via bacterial deamination of amino acids (67). Impaired digestion and dysbiosis amplify fermentation: enzyme deficiencies (such as lactase insufficiency) and SIBO divert undigested substrates to distal segments, markedly increasing CO₂ yield (68, 69). Microbiota composition matters: the abundance and metabolic activity of gas-producing taxa, including Bacteroides, shape fermentation efficiency and CO₂ output (70). Overall, intraluminal CO₂ levels reflect a dynamic balance between production (dietary, microbial, metabolic) and elimination (absorption and excretion); disturbances on either side can lead to symptomatic gas retention—bloating, belching, and flatulence.

Traditionally regarded as inert aside from volume-related mechanostimulation (16), CO₂ also demonstrates therapeutic activity in GI disorders via synergistic mechanisms. In functional dyspepsia and constipation, CO₂ delivered as carbonated water can alleviate symptoms through: (1) chemical activation of trigeminal and vagal pathways via carbonic acid–mediated pH changes, modulating visceral sensitivity; (2) mechanical distension of the proximal stomach, enhancing gastric accommodation and reducing early satiety; and (3) mineral-mediated stimulation of gallbladder contraction. These benefits occur without accelerating GI transit, indicating primarily neuromodulatory rather than prokinetic effects (71). However, the evidence supporting this therapeutic use is derived from small-scale adult studies, and its efficacy and safety in the pediatric population remain entirely unexplored. In addition, while CO₂ exhibits anti-inflammatory actions in colitis models, suppressing pro-inflammatory cytokines (e.g., IL-6) and preserving mucosal integrity through enhanced mucin (MUC-2) secretion (72), it remains speculative whether these mechanisms operate in non-inflammatory context of functional constipation. Together, the convergence of mechanical, chemical, and neurohumoral effects positions CO₂ as a distinctive therapeutic modality for sensory and motor dysfunctions in the GI tract.

2.6 Hydrogen sulfide

H₂S is a microbiota- and host-derived gasotransmitter that is essential for gut homeostasis, acting at the interface of microbial ecology and mucosal defense (7375). It is produced by sulfate-reducing bacteria (e.g., Desulfovibrio) via dissimilatory sulfate reduction and by host epithelial cells through the enzymes cystathionine β-synthase (CBS) and cystathionine γ-lyase (CSE). By coordinating signals between microbes and the epithelium, H₂S helps shape community structure and maintain barrier function. Mechanistically, H₂S stabilizes the microbiota biofilm and preserves the mucus layer, physically separating microbes from the epithelial surface (73, 76). This barrier function is crucial for preventing bacterial translocation and maintaining epithelial integrity. Consistent with this, H₂S donors restore biofilm organization and enhance mucus production in colitis models (73, 76).

The regulation of H₂S production is tightly coupled to microbial ecology. The human gut microbiota broadly retains the capacity to generate H₂S from cysteine, and dysbiosis often coincides with elevated H₂S output (77, 78). Increases in H₂S-producing taxa, such as Bilophila wadsworthia, have been associated with inflammatory bowel disease (IBD) and certain IBS subtypes. Under these conditions, excess H₂S can disrupt disulfide bonds within mucus, leading to epithelial injury (7880). However, it is critical to note that the majority of evidence linking pathogenic levels of H₂S to mucosal damage originates from studies on IBD or severe IBS. The role of H₂S in the relatively non-inflammatory context of PFC remains far less clear and is primarily extrapolated from these related conditions, representing a significant knowledge gap. Furthermore, the evidence presents a paradoxical, dose-dependent role for H₂S. At physiological levels, H₂S exerts anti-inflammatory effects by limiting neutrophil infiltration and modulating redox signaling within the lamina propria (76, 81).

Dietary inputs strongly modulate H₂S dynamics. Protein-rich diets tend to enhance microbial H₂S production, whereas dietary fiber can mitigate this by promoting SCFAs formation and lowering luminal pH (82, 83). This modulation is clinically relevant, as H₂S metabolism is frequently dysregulated in pediatric gastrointestinal disorders (80). Nevertheless, direct interventional studies examining the impact of dietary modulation on H₂S levels and subsequent symptoms in children with PFC are lacking. Most dietary recommendations are inferred from studies on adult IBS or animal models, highlighting the need for pediatric-specific nutritional research. At the ecosystem level, bacterial H₂S supports cryptic redox reactions that shape microbial niches, underscoring its central role in maintaining community balance (84). Dysregulated H₂S production and metabolism may contribute to functional gastrointestinal disorders, positioning H₂S-targeted strategies as promising approaches to restore microbial equilibrium and mucosal health (74, 85). However, translating this promise into clinical practice for PFC requires a more nuanced understanding. Future research must prioritize defining the concentration-dependent effects of H₂S in the developing gut, establishing reliable methods for its non-invasive measurement in children, and conducting controlled trials to determine whether modulating H₂S signaling—through diet, probiotics, or novel therapeutics—can effectively and safely improve motility outcomes in pediatric patients.

3 Dysbiosis, gas imbalance and pediatric functional constipation

The pathogenesis of PFC reflects an interplay of genetic susceptibility, lifestyle factors (low fiber intake, sedentary behavior), and psychological comorbidities, with a prominent contribution from brain–gut axis dysregulation manifesting as altered rectal sensitivity and pelvic floor dysfunction (86). Central to this discussion, gut microbiota dysbiosis and imbalances in microbial gases—particularly elevated CH₄ with altered H₂—emerge as key drivers of symptom onset and persistence (13, 8790). Pantazi et al. reported that infants with functional constipation show reduced acidifying taxa (Lactobacillus, Bifidobacterium) and increased coliforms (Escherichia coli, Klebsiella), correlating with higher fecal pH and intermediate dysbiosis indices; cesarean delivery and formula feeding are risk factors (13). A consistent reduction in Lactobacillus has been replicated in constipated children (87). Loss of SCFAs-producing Lactobacillus/Bifidobacterium and overgrowth of proteolytic species elevate fecal pH (14), creating a niche favorable to methanogenic archaea that prefer neutral–alkaline conditions (pH 6.8–8.5) (91). Diminished SCFAs production is mechanistically linked to impaired motility and constipation (14). Beyond acidification and SCFAs, bile acid metabolism represents another crucial pathway through which the gut microbiota influences intestinal motility and fluid balance. While the fecal bile acid profile is normal in the majority of children with functional constipation, a subset of patients exhibits a novel abnormality characterized by extensive sulfation of bile acids. Hofmann et al. (63) identified that approximately 8% of constipated children (6 out of 73) had fecal bile acids predominantly composed of the 3-sulfate of chenodeoxycholic acid (CDCA). As sulfation abolishes the secretory activity of CDCA, this alteration in bile acid metabolism may directly contribute to reduced colonic secretion and worsened constipation symptoms in this patient subgroup, highlighting another microbial metabolic pathway implicated in PFC pathogenesis. Elevated CH₄ correlates with delayed transit and constipation across pediatric cohorts. CH₄-positive children show prolonged total colonic transit (median 80.5 vs. 61.0 h; p = 0.04) (62); a meta-analysis found CH₄-positive individuals are >3 times likelier to be constipated (pooled OR 3.51; 95% CI 2.00–6.16) (59). CH₄ excretion is more prevalent in children with encopresis than in controls (65% vs. 15%; p < 0.001) (92). In myelomeningocele, CH₄ producers exhibit delayed OCTT and fewer evacuations (93). In pediatric IBS, CH₄ correlates positively with whole-intestinal transit time and inversely with bowel movement frequency (94). These consistent associations across diverse patient groups strongly implicate methane as a key player in slowed gut transit. However, a critical distinction must be made between correlation and causation. It remains plausible that the prolonged transit time inherent to constipation itself creates a favorable anaerobic environment that enriches for methanogens, rather than methanogenesis being the initial trigger. The mechanistic link is supported by experimental evidence: CH₄ directly slows motility—reducing ileal peristaltic velocity (~20%) while increasing contraction amplitude and intraluminal pressure in preclinical models—whereas H₂ accelerates proximal colonic transit (~47% decrease in time) (20). Pimentel et al. showed methane impedes small-intestinal transit and augments contractility (57). Similarly, Zhang et al. (95) demonstrated that Lactobacillus plantarum Lp3a significantly mitigated functional constipation in both murine and human subjects by promoting intestinal motility, potentially through the modulation of CH₄ and bile acid metabolic pathways. Electro-acupuncture restored the Firmicutes/Bacteroidetes ratio and increased butyrate, enhancing motility (96). Consistently, butyrate levels negatively correlate with methanogen abundance, implying competition for H₂ that can be steered toward SCFAs rather than CH₄ production (91). The competition for metabolic substrates, such as H₂, between SCFAs-producing bacteria and methanogens further substantiates the hypothesis that enhancing butyrate levels—through interventions such as probiotics, including Lactobacillus species, or electro-acupuncture—may inhibit methanogenesis, thereby improving gut motility and alleviating constipation. Probiotics such as Lactobacillus casei rhamnosus Lcr35 may improve motility via GPR41 signaling by increasing SCFAs (97), though whether Lcr35 directly suppresses methanogens and lowers CH₄ remains uncertain and warrants study. CH₄-driven dysbiosis is best characterized as intestinal methanogenic overgrowth (IMO)—overgrowth of archaea (notably Methanobrevibacter smithii)—rather than classic SIBO (98, 99). CH₄-dominant small intestinal bacterial overgrowth (M-SIBO) is associated with slower small-bowel and colonic transit than H₂-dominant SIBO (H-SIBO) (100). Prolonged lactulose breath test patterns mirror delays in small bowel transit time (SBTT), colonic transit, and whole gut transit time (WGTT) (101). Separately, CH₄ production in myelomeningocele aligns with longer OCTT (93).

Building upon the established role of CH₄ in decelerating intestinal motility, emerging evidence indicates that H₂ may also play a role in the pathogenesis of PFC through distinct yet complementary mechanisms. Vajro et al. found prolonged OCTT in constipated children on H₂ breath testing, suggesting small-intestinal dysmotility and a potential ecological shift toward methane generation as archaea consume H₂ (102, 103). Soares et al. observed that standard therapies reduce OCTT, yet children with persistently slow colonic transit (>62 h) often still require laxatives, possibly reflecting unresolved deficits in H₂ producers or excess methanogens (104). Ge et al. (105) demonstrated that fecal microbiota from constipated individuals impaired gut motility in murine models by decreasing the levels of microbial metabolites, including SCFAs and secondary bile acids. In contrast, fecal microbiota transplantation (FMT) effectively restored intestinal function, suggesting that modulation of the intestinal environment may represent a novel therapeutic strategy for the management of constipation. While powerful, these fecal transplant studies in animals, and the emerging evidence in humans, prove that the constipated microbiota is functionally capable of altering motility. Yet, they do not isolate H₂ as the sole critical factor. The therapeutic effect is likely mediated by a consortium of changes, including the restoration of SCFAs, bile acids, and other microbial signals, of which H₂ modulation may be just one component. Together, rebalancing microbiota and the H₂/CH₄ axis is a promising therapeutic angle, pending pediatric-specific validation. Key clinical studies investigating the role of intestinal gases, particularly H₂ and CH₄, in PFC were shown in Table 1.

Table 1
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Table 1. Summary of clinical evidence on intestinal gases in pediatric functional constipation.

CO₂ is abundant in the gut (from fermentation and acid–base neutralization) and shapes gas homeostasis. Dysbiosis with fewer Lactobacillus/Bifidobacterium raises pH (13, 87), favoring methanogens that use CO₂ and H₂ to generate CH₄, thereby inhibiting peristalsis (57, 62). Conversely, exogenous CO₂ (e.g., carbonated water) can alleviate dyspepsia/constipation symptoms via vagal mechano- and chemosensory activation and anti-inflammatory effects (IL-6 suppression, mucosal protection) (71, 72). However, excess CO₂ from fermentable substrates or SIBO may worsen bloating and perceived dysmotility (16, 66, 68, 69). Strategies aimed at restoring microbial balance to divert reducing equivalents (e.g., H₂) toward SCFAs production and away from methanogenesis (91, 95), and consider controlled CO₂ delivery as a neuromodulatory adjunct (71) present promising therapeutic avenues. However, it must be critically acknowledged that the current understanding of CO₂’s net effect in PFC is rudimentary. The direct evidence linking CO₂ dynamics to pediatric constipation is scarce, and the translation of potential therapeutic uses from adult studies remains entirely speculative. Therefore, dedicated pediatric investigations are crucial to validate these mechanistic links and explore the therapeutic potential of modulating CO₂ in the management of childhood constipation.

H₂S is an endogenous and microbial gasotransmitter that exerts complex, dose- and context-dependent effects on colonic motility. It directly modulates smooth muscle by inhibiting L-type Ca2+ channels (CaV1.2) and BKCa channels, decreasing Ca2+ influx and hyperpolarizing membranes to reduce contractions (106). It shows a biphasic profile—transient excitation via transient receptor potential vanilloid-1 (TRPV1) and substance P release, followed by sustained inhibition through ATP-sensitive potassium (KATP) activation (107). An overgrowth of SRB can delay intestinal transit in a manner that is reversible with bismuth treatment, indicating that microbial dysbiosis may exacerbate symptoms associated with functional conspitatoin (108). H₂S cross-talk with Toll-like receptors (TLR2/TLR4) regulates cystathionine-γ-lyase (CSE) expression, establishing a neuro–immune–microbiota axis that impacts motility (109). Synergy with NO via phosphodiesterase 5 (PDE5) inhibition enhances cyclic guanosine monophosphate (cGMP)/protein kinase-G (PKG) and smooth muscle relaxation (110). These findings underscore the significance of H₂S as a key regulator of gut motility, suggesting that its dysregulation—whether due to endogenous overproduction, microbial influences, or altered receptor sensitivity—may contribute to the pathophysiology of PFC. This insight points to potential therapeutic interventions, including the modulation of SRB, inhibition of CSE, or combined modulation of the NO signaling pathway (111). However, translating these mechanistic insights into PFC therapies remains challenging. The biphasic, dose-dependent actions of H₂S complicate therapeutic targeting, and direct clinical evidence in pediatric constipation is still lacking, relying largely on inferences from animal studies or other GI disorders. Future work should prioritize validating H₂S as a clinical biomarker or target in pediatric cohorts. Gut dysbiosis and microbial gas imbalance are central to PFC. Loss of SCFAs producers and expansion of proteolytic species elevate luminal pH, enabling methanogens that convert H₂/CO₂ to CH₄, a potent inhibitor of transit. In contrast, H₂ can promote motility, and H₂S finely tunes ion-channel activity and interacts with NO pathways. Microbiota-directed and gas-targeted therapies—probiotics, FMT, dietary strategies to boost SCFAs and curb methanogenesis, neuromodulatory CO₂ delivery, and selective H₂S-pathway modulation—are promising, but pediatric thresholds, biomarkers, and long-term safety require further study. Supporting the role of dietary interventions, a recent randomized controlled trial by Xiao et al. demonstrated that supplementation with a wheat bran-derived dietary fiber (Testa Triticum Tricum Purif) significantly improved constipation symptoms in Chinese children, accompanied by increases in beneficial bacteria such as Lactococcus and Prevotella, and modulation of metabolic pathways including steroid hormone biosynthesis and alpha-linolenic acid metabolism (112). Collectively, this evidence positions the “dysbiosis-gas-dysmotility” axis as a compelling model for PFC. However, the heterogeneity of the disorder implies that successful translation will depend on identifying which patients are most likely to respond to specific, gas-targeted interventions, moving toward a more personalized therapeutic approach. The pathophysiological mechanisms linking gut dysbiosis, gas imbalance, and slowed motility in PFC, along with potential therapeutic interventions, are illustrated in Figures 2A,B. This conceptual framework visually integrates the key players—microbial shifts, gaseous metabolites, and their functional effects on motility—providing a foundation for understanding targeted therapeutic approaches.

Figure 2
Diagram comparing intestinal conditions in healthy children and those with Pediatric Functional Constipation (PFC). Panel A shows normal transit time and gut microbiome balance versus slow transit and dysbiosis in PFC. Panel B illustrates treatments like rifaximin, low-FODMAP diets, probiotics, and fecal microbiota transplant (FMT) for addressing dysregulation and constipation in PFC. The diagram includes bacteria types and gas production processes involved in both scenarios.

Figure 2. Pathophysiological mechanisms and potential therapeutic interventions in pediatric functional constipation. (A) Comparison of intestinal environments between a healthy child and a child with PFC. In the healthy state, balanced microbiota dominated by Bacteroides, Prevotella, Lactobacillus, and Bifidobacterium maintain physiological gas levels, including ample H₂, low CH₄ (< 10 ppm), and low H₂S (< 1 μmol/L), supporting normal colonic transit time (~61 h). In PFC, reduced abundance of H₂-producing bacteria leads to decreased H₂ levels, which alongside dysbiosis promotes overgrowth of methanogens (Methanobrevibacter smithii) that consume H₂ to produce excessive CH₄ (≥ 10 ppm). Concurrent increase in sulfate-reducing bacteria (Desulfovibrio) elevates H₂S (>1 μmol/L). These changes collectively inhibit intestinal motility and prolong transit time (~80.5 h). (B) Potential therapeutic interventions in PFC target the underlying dysbiosis and gas imbalance. Rifaximin suppresses methanogenic archaea to reduce CH₄ production and may indirectly modulate H₂ availability. Probiotics enrich beneficial SCFAs-producing and H₂-producing bacteria, which helps restore microbial balance and increase H₂ levels. FMT reintroduces a healthy microbial community to reestablish ecological and functional homeostasis. Additionally, a low-FODMAP diets limit fermentable substrates, thereby reducing overall gas production—including CH₄. PFC: pediatric functional constipation; H₂: hydrogen; CH₄: methane; H₂S: hydrogen sulfide; SCFAs: short-chain fatty acids; FODMAP, fermentable oligosaccharides, disaccharides, monosaccharides, and polyols; FMT: fecal microbiota transplantation.

4 Methods for measuring gastrointestinal gas

Accurate quantification of intestinal gases—specifically H₂, CH₄, CO₂, and H₂S—is essential for elucidating their role in physiological and pathological conditions. A variety of diagnostic methodologies, ranging from non-invasive breath tests to invasive direct sampling techniques, have been developed to evaluate gas profiles. Method selection should be tailored to patient age, clinical question, and required analytical resolution, balancing feasibility, comfort, safety, and the need for temporal or spatial detail. This section reviews established and emerging technologies, highlighting their strengths, limitations, and quality-control considerations, with a particular emphasis on pediatric applicability and adaptation.

4.1 Hydrogen breath test

H₂ breath testing (HBT) is a non-invasive tool to quantify microbial fermentation, carbohydrate malabsorption, and gut motility by measuring exhaled H₂ (and CH₄). Humans do not produce H₂ endogenously; all exhaled H₂ derives from anaerobic bacterial fermentation of unabsorbed carbohydrates (e.g., lactose, fructose, lactulose) (113116). When these substrates reach the colon, commensals metabolize them to H₂, which is absorbed into blood and exhaled, providing an indirect readout of fermentation activity (103, 114). In PFC, HBT informs two domains: OCTT assessment and detection of abnormal fermentation/dysbiosis.

4.2 Oro-cecal transit time assessment

OCTT, defined as the duration required for a substrate to traverse from the oral cavity to the cecum, is often prolonged in PFC, which can exacerbate stool retention and lead to symptoms such as abdominal distension (103, 117). Lactulose HBT is a standard method to estimate OCTT in children. After oral lactulose, a sustained H₂ rise ≥20 ppm above baseline marks cecal arrival and OCTT completion (103, 118). Children with slow-transit constipation (STC) show significantly prolonged OCTT (median 252 vs. 205 min in controls and constipated children with normal transit), consistent with excess fermentation, gas accumulation, and distension (103, 117).

4.3 Detection of abnormal fermentation and dysbiosis

HBT detects carbohydrate malabsorption and SIBO. A ≥ 20 ppm H₂ rise after lactose suggests lactose malabsorption, more common in constipated children and linked to bloating (114, 119, 120). Furthermore, CH₄, produced by methanogenic archaea (e.g., Methanobrevibacter smithii) that utilize H₂, plays a distinct role in pediatric constipation. Constipated children frequently exhibit elevated breath CH₄ (≥10 ppm), which correlates with prolonged colonic transit and greater symptom severity (120, 121). Methane directly inhibits intestinal motility, fostering a self-perpetuating cycle of delayed transit and gas retention, thereby positioning CH₄ as a viable therapeutic target (120).

Pediatric HBT requires age-specific protocols to ensure accuracy and feasibility. Recommended dosing includes lactulose 10 g or lactose 0.5–2.0 g/kg (max 50 g), with breath samples collected every 30 min over 3–4 h to capture fermentation dynamics (114, 122, 123). In younger children, child-friendly sampling—such as face masks or nasal probes—is often necessary to obtain reliable end-expiratory samples (103, 114). Interpretation should recognize that ~10–15% are non-H₂ producers, redirecting fermentation toward CH₄ or H₂S; therefore, combined H₂/CH₄ testing improves diagnostic accuracy, as H₂S is not routinely measured (102, 103, 119, 122).

In PFC, HBT data can directly inform targeted interventions. For example, a prolonged OCTT on lactulose HBT supports the use of prokinetic therapy to address underlying motility delay (103). Elevated breath methane (≥10 ppm) can identify candidates for rifaximin, which reduces methanogen abundance, improves colonic transit, and relieves constipation symptoms (121). Documented carbohydrate malabsorption (e.g., lactose or fructose) guides dietary restriction of specific fermentable substrates, reducing gas production and discomfort and improving stool frequency and consistency. Collectively, HBT serves as a versatile tool to personalize management strategies for children with functional constipation.

Despite its utility in evaluating postprandial fermentation capacity, the HBT presents several limitations. First, methodological inconsistencies—including variation in substrate dose (e.g., lactulose 10 g vs. 16 g; glucose 50 g vs. 75 g), sampling intervals, and diagnostic thresholds—yield variable results. Higher lactulose doses can produce false positives for SIBO, whereas lower glucose doses may underdetect distal SIBO (103, 116, 124). Second, confounding factors such as recent antibiotic use (requiring a 4-week washout), high-fiber diets, smoking, and physical exercise can alter gut microbiota or gas kinetics and distort H₂ measurements (113115). Third, about 10–15% of children are non-H₂ producers, generating CH₄ or H₂S instead; while combined H₂/CH₄ monitoring improves detection, H₂S is not routinely measured, risking false negatives (103, 117, 120). Fourth, the HBT has a limited capacity to assess segmental colonic function: it cannot distinguish slow-transit constipation from outlet obstruction, often necessitating adjunctive tests such as colonic transit studies (104, 120). Moreover, there is poor symptom–gas correlation—for example, bloating severity often fails to track measured gas levels—and pediatric feasibility issues, as young children may struggle with pretest fasting and repeated sampling, undermining data reliability (102, 115, 125). Accordingly, HBT results should be interpreted alongside clinical evaluation and complementary diagnostics when assessing PFC (103, 113, 126).

4.4 Methane breath testing

CH4 breath testing is a non-invasive diagnostic method that quantifies CH₄ in exhaled breath to assess intestinal microbial activity—particularly methanogenic archaea—and their associations with gastrointestinal disorders (44, 127). The core principle is that breath methane is not produced by human tissues; it is exclusively synthesized by anaerobic methanogenic archaea (e.g., Methanobrevibacter smithii) through fermentation of undigested carbohydrates in the gut, using H₂ and CO₂ as substrates (44, 127). CH₄ formed intraluminally is absorbed into the bloodstream, carried to the lungs, and exhaled, making measured CH₄ a reliable indicator of intestinal methanogenic activity (127, 128).

In PFC, CH4 breath testing serves two principal purposes: identifying methane-associated motility disturbances and assessing gut dysbiosis. CH4 has been implicated in the slowing of intestinal transit, a defining feature of PFC. Children with constipation frequently exhibit elevated breath methane (≥10 ppm), which correlates with prolonged colonic transit times (CTT) and more severe constipation symptoms (18, 19). Mechanistically, CH4 directly inhibits intestinal smooth muscle contractility, delaying transit and promoting stool retention; this vicious cycle further exacerbates constipation (19, 44). For example, a meta-analysis reported that patients with IMO had a higher prevalence of constipation (47% vs. 38%) and greater severity than those without IMO (19).

Beyond motility, CH4 breath testing is a valuable tool for detecting gut microbiota imbalances. Methanogenic archaea—the primary generators of CH4—compete with other H2-consuming microbes (e.g., SRB) for H2, thereby altering colonic fermentation patterns (127, 129). In children with PFC, overgrowth of these archaea can lead to excessive CH4 production, which slows intestinal transit and exacerbates symptoms such as abdominal bloating and discomfort (18, 130).

Conducting methane breath testing in children requires age-specific considerations to ensure accuracy. Substrate selection and dosing are weight-adjusted, with commonly used substrates including lactulose (10 g) or glucose (50 g), and breath samples collected every 15–30 min over 3–4 h (44, 115). For younger children, specialized collection tools (e.g., face masks) may be needed to ensure reliable sampling (127). Interpretation should account for age-related variability in methane production: children under 3 years rarely produce detectable methane, whereas levels increase with age and approximate adult patterns by adolescence (44, 127).

CH4 breath testing serves as a valuable tool for informing targeted interventions in patients with persistent PFC. Elevated methane levels (≥10 ppm) predict a favorable response to antibiotic therapy (e.g., rifaximin), which can reduce the activity of methanogenic archaea and improve gastrointestinal transit (18, 130). In parallel, dietary modification—particularly a low-FODMAP diet—reduces fermentable substrate availability, thereby lowering methane production and alleviating symptoms such as bloating and discomfort (128, 130).

Despite its clinical utility, CH4 breath testing has several important limitations. Methodological variability—including differences in substrate type/dose and diagnostic cutoffs for IMO (e.g., ≥10 ppm vs. ≥ 5 ppm)—can yield inconsistent results (18, 19). Confounding factors such as recent antibiotic use, dietary changes, and concurrent gastrointestinal infections can substantially alter methane output, underscoring the need for meticulous patient preparation (127, 128). Moreover, there is a limited correlation with symptom severity: some children produce little or no methane, and without concurrent H2 measurement, cases may be missed, increasing the risk of false negatives (44). The test also cannot localize methanogenic activity to the small intestine versus the colon, often necessitating complementary imaging or motility studies. Practical challenges in young children—including difficulties with prolonged fasting and repeated sampling—may compromise data quality, and age-related variation in methane production must be factored into interpretation. Consequently, CH4 breath testing should be used alongside clinical assessment and other diagnostic modalities to optimize the management of PFC.

4.5 Electronic nose (artificial olfaction)

An electronic nose (E-nose) is a sophisticated analytical platform that mimics the human olfactory system to detect and classify volatile organic compounds (VOCs) within complex mixtures using a multi-sensor array and pattern-recognition algorithms (131, 132). Core components include a sampling module, a sensor array (e.g., metal oxide semiconductors, conductive polymers), and a data-processing unit that translates sensor responses into distinctive “odor fingerprints” (133, 134). For clinical use, E-nose technology offers non-invasive VOCs analysis from readily accessible samples—exhaled breath, fecal headspace, and urine—making it particularly suitable for pediatric populations that require comfortable procedures (135, 136). Compared with traditional single-gas assays, it delivers comprehensive metabolic profiling by capturing the full VOCs spectrum, providing an integrated view of gut microbiota activity and host–microbiome interactions (132, 137). It also combines rapid turnaround (results within minutes) with portability for point-of-care testing across diverse clinical settings (131, 134). Its high sensitivity and accuracy derive from advanced sensor architectures (e.g., batch-uniform metal oxide nanocolumns) paired with deep learning–based algorithms, enabling precise identification of low-concentration VOCs and multi-gas recognition accuracies exceeding 98% (133). Collectively, these strengths establish E-nose technology as a rapid, accurate, and patient-friendly diagnostic tool.

In gastroenterology, E-nose technology has emerged as a transformative diagnostic tool, leveraging VOCs as sensitive biomarkers of microbial dysbiosis and metabolic disturbances (132, 138). Its clinical applications span a broad spectrum of gastrointestinal disorders, with growing evidence of significant diagnostic utility. In inflammatory bowel disease (IBD), E-nose analysis of fecal VOCs can distinguish active from quiescent disease in pediatric patients, achieving diagnostic accuracy exceeding 75% (135, 139). Innovative systems have also detected colorectal cancer by differentiating malignant from benign conditions using characteristic VOCs signatures in both fecal samples and exhaled breath (140). The technology’s reach extends to precancerous states, as shown by its ability to identify Barrett’s esophagus through distinct exhaled-breath VOCs patterns (141). In functional gastrointestinal disorders such as IBS, E-nose platforms subclassify patients based on unique VOCs profiles that correlate with microbial metabolic patterns (e.g., CH4 or H2 dominance), intestinal transit times, and symptom severity (132, 134). Collectively, these applications underscore E-nose technology’s capacity to bridge gut microbial metabolic activity with clinical manifestations, establishing it as a valuable complement to traditional diagnostics (137). By enabling rapid, non-invasive metabolic profiling, E-nose systems open new avenues for personalized diagnosis and disease monitoring in clinical gastroenterology.

In PFC, clinically meaningful subtypes include STC, normal-transit constipation, and outlet obstruction (142, 143). Mounting evidence implicates gut microbial dysbiosis in PFC pathogenesis, with constipated children showing reduced SCFAs–producing bacteria (e.g., Lactobacillus) and an increase in proteolytic species, changes that are linked to altered fecal pH and impaired colonic motility (14, 91). Shifts in H2- and CH4-producing taxa may further modulate motility and generate distinct VOCs signatures that could serve as diagnostic biomarkers for PFC. E-nose technology has already proven effective in distinguishing gastrointestinal disorders through VOC profiling. For example, de Meij et al. (135) demonstrated that the analysis of fecal VOCs could effectively differentiate children diagnosed with ulcerative colitis or Crohn’s disease from healthy controls, even during periods of remission, exhibiting high sensitivity and specificity. In IBS, Baranska et al. (144) identified an exhaled-breath 16-VOCs signature that distinguished IBS from health (sensitivity 89.4%, specificity 73.3%) and correlated with symptom severity. VOCs profiling has also predicted responses to low-FODMAP diets and probiotics in IBS (145). Diet–VOCs relationships are further supported by Kasti et al. (146), who reported that both a Mediterranean low-FODMAP (MED-LFD) and NICE diet reduced stool VOCs (e.g., SCFAs, branched-chain fatty acids) in non-constipation IBS, with polynomial associations between VOCs changes and symptom severity. Together, these studies underscore the feasibility of VOCs-based, non-invasive metabolic phenotyping in gastroenterology. Building on this foundation, we outline several ways in which E-nose VOCs analysis could advance the management of PFC. The technology may enable non-invasive differentiation of constipation subtypes by identifying distinct VOCs patterns. It could support continuous monitoring of microbial dynamics by tracking VOCs signatures linked to SCFAs-producing taxa, proteolytic species, and methanogenic organisms. It may also provide predictive insights into treatment response—for fiber supplementation, probiotics, or laxatives—thereby supporting personalized therapy. Additionally, serial VOCs measurements could function as objective biomarkers for disease trajectory and treatment monitoring. Taken together, this integrated, precision-medicine approach could help address current diagnostic challenges in pediatric gastroenterology. Nevertheless, current applications remain largely theoretical, and rigorous validation—including standardized sampling and analytics, pediatric reference ranges, and multicenter studies—is required before routine clinical adoption.

4.6 Wireless motility capsule

The wireless motility capsule (WMC) is a non-invasive, swallowable device that enables comprehensive whole-gut and segmental motility assessment by concurrently measuring intraluminal pH, pressure, temperature, and transit times (147). In PFC, it delivers objective subtype classification by accurately quantifying four key parameters: gastric emptying time (GET), small intestinal transit time (SITT), CTT, and whole-gut transit time (WGTT) (147, 148). Clinically, the WMC is particularly informative in STC, where it consistently demonstrates prolonged CTT and diminished colonic contractility on awakening, findings that support a neuropathic etiology (142).

Beyond transit profiling, the WMC helps clarify interactions between dysmotility and intestinal gas metabolism in PFC. It has identified significant associations between methane-producing archaea (e.g., Methanobrevibacter smithii) and prolonged CTT, consistent with CH4’s inhibitory effects on intestinal peristalsis (149, 150). Conversely, H2-dominant fermentation patterns—often linked to accelerated small-bowel transit—may aggravate bloating in mixed PFC phenotypes (151). Collectively, these insights underscore the WMC’s utility in delineating overlapping dysmotility patterns in children with complex functional gastrointestinal symptoms (152).

Compared with traditional radiopaque marker studies, the WMC offers enhanced diagnostic capabilities by enabling real-time assessment of dynamic motility parameters—including pressure amplitudes and pH fluctuations—while also demonstrating improved patient tolerance (153). Its ability to differentiate STC from outlet obstruction—for example, delayed CTT with normal rectal pressure in STC—makes it especially valuable in pediatrics, where symptom overlap complicates diagnosis (148, 154, 155). Nevertheless, clinical use requires careful consideration of age-related variability in younger children and awareness of rare technical issues such as capsule retention (156).

Future research should prioritize validating WMC-derived gas–motility correlations in pediatric populations, with particular emphasis on the role of methane in the pathogenesis of STC (157, 158). Incorporating complementary diagnostic modalities—such as breath testing and fecal microbiota analysis—may enhance the accuracy of phenotyping in PFC and facilitate the development of targeted therapeutic interventions, including agents aimed at reducing methane levels in STC (151, 159). As a comprehensive assessment tool, WMC bridges motility evaluation and metabolic insights, thereby providing a robust framework for the advancement of personalized management strategies for PFC.

5 Emerging gas-targeted therapeutic strategies

The evolving understanding of the “dysbiosis-gas-dysmotility” axis in PFC has catalyzed the development of novel, targeted therapeutic interventions. These strategies aim to rebalance the gut microbial ecosystem and modulate the production or effects of specific intestinal gases, moving beyond symptomatic relief to address underlying pathophysiology. Table 2 provides a comprehensive overview of the most promising gas-targeted approaches, their mechanisms, and clinical evidence.

Table 2
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Table 2. Emerging gas-targeted therapeutic strategies for pediatric functional constipation.

CH₄-lowering interventions represent a directly targeted approach. The antibiotic rifaximin has shown efficacy in reducing CH₄ production by inhibiting methanogenic archaea, which translates to accelerated colonic transit and improved stool frequency in children with CH₄-positive PFC (121). While powerful, the long-term use of antibiotics in children raises concerns regarding microbial resistance and the sustainability of its effect, necessitating strategies to prevent recurrence. Probiotics offer a more sustainable and safer alternative for modulating the gut environment. Specific strains, such as Lactobacillus plantarum Lp3a and Bifidobacterium animalis subsp. lactis XLTG11, have demonstrated the ability to downregulate genes associated with CH₄ metabolism while concurrently enriching beneficial SCFAs-producing taxa (95, 160). This dual action not only inhibits a key constipating driver (CH₄) but also promotes pro-motility metabolites (SCFAs), making it a particularly attractive strategy for pediatric populations. Dietary modifications remain a cornerstone of non-pharmacological management. The low-FODMAP diet reduces the fermentable substrates available to gas-producing microbes, effectively lowering breath CH₄ levels and alleviating associated bloating (146). Complementarily, the supplementation with specific dietary fibers, such as wheat bran, can actively reshape the microbiota towards a SCFAs-producing phenotype, improving stool frequency and consistency (112). This suggests a nuanced dietary approach: restricting certain fermentables to reduce negative gas effects while supplementing with beneficial fibers to promote positive metabolic outputs. More invasive yet highly impactful, FMT seeks to reset the entire gut ecosystem. Early studies in refractory pediatric constipation indicate that FMT can normalize colonic transit, increase stool frequency, and crucially, shift gas metabolism by reducing CH₄ production and increasing beneficial SCFAs like butyrate (105). While promising, FMT’s invasive nature and the need for long-term safety data in children position it as a option for severe, treatment-resistant cases. Interestingly, even exogenous delivery of gases can be therapeutic. The administration of carbonated water leverages CO₂ to stimulate vagal and trigeminal pathways, enhancing gastro-colonic reflexes and improving symptoms of functional dyspepsia and constipation, although evidence remains primarily in adults (71).

In conclusion, the landscape of PFC therapy is expanding to include precision, gas-targeted strategies. The evidence summarized in Table 2 underscores a paradigm shift from one-size-fits-all laxative use to a more mechanistic, personalized approach. Future work must focus on validating these interventions in large-scale pediatric RCTs, defining patient subgroups most likely to benefit (e.g., CH₄-producers vs. hydrogen-sulfide producers), and establishing long-term efficacy and safety profiles.

6 Future perspectives

Research into intestinal gas metabolism is poised to fundamentally reshape our understanding and management of PFC. To bridge the gap between mechanistic insights and clinical application, a concerted, multi-pronged strategy is essential. Figure 3 outlines a comprehensive translational roadmap, integrating longitudinal research, technological innovation, targeted therapeutics, and multidisciplinary collaboration to advance gas-targeted precision medicine for children.

Figure 3
Flowchart illustrating steps for gas-related research and applications. It includes stages like establishing birth-to-childhood cohorts, tracking microbial gas profiles, integrating multi-omics, developing wireless capsule sensors, applying AI-driven analytics, rebalancing gas production, designing probiotics, implementing dietary modifications, clarifying gas effects, fostering collaboration, developing protocols, and identifying drug targets. Each step has a brief description, indicating a comprehensive approach to understanding and utilizing microbial gas dynamics.

Figure 3. Future research directions and interventional strategies for pediatric functional constipation. This schematic outlines key translational approaches spanning longitudinal cohort studies, advanced gas monitoring technologies, microbiome-targeted therapies, mechanistic investigations, and multidisciplinary collaboration—all aimed at enabling precision management of childhood constipation through modulation of intestinal gas metabolism.

Longitudinal, birth-to-childhood cohorts are essential to identify early-life risk factors for PFC. Tracking microbial gas profiles over time can clarify whether CH₄-positive infants or those with altered H2 metabolism are predisposed to chronic constipation, supporting early risk stratification. Defining how diet, antibiotics, and psychosocial stress shape gas-producing communities across development may reveal targets for prevention. Integrating multi-omics with quantitative gas measurements can uncover microbial markers that predict PFC onset or therapeutic response, enabling precision prevention and treatment selection.

Advances in non-invasive gas monitoring will improve diagnostic accuracy and access in children. Miniaturized wireless capsule sensors and refined E-nose systems that capture real-time gas dynamics alongside motility parameters, coupled with AI-driven analytics, can standardize interpretation, reduce reliance on specialized laboratories, and broaden availability of precision diagnostics.

Gas-targeted strategies offer a pathway to personalized therapy. Given the dual effects of intestinal gases—CH4 slowing transit and H2 promoting motility—interventions that rebalance gas production are promising. Probiotics designed to reduce methanogenic archaea or enrich selected H2-producing taxa, and personalized dietary modifications (for example, low-FODMAP approaches or tailored fiber supplementation) can be aligned to individual gas profiles to limit adverse fermentation. Pharmacologic options, including CH4-reducing agents or H2-modulating drugs, should be optimized for pediatric use, with dosing guided by serial breath testing. Mechanistic studies linking gas metabolism to motility and the brain–gut axis will reveal new targets. Clarifying how CH4 diminishes smooth muscle contractility and how H2 augments peristalsis could nominate ion channels or neurotransmitter pathways for drug development. Investigating gasotransmitters such as H2S—implicated in motility via TRPV1 and KATP channels—may yield selective inhibitors or donors as novel therapies. Elucidating interactions between gas metabolism and neuroenteric signaling, including serotonin and broader neuroendocrine pathways, can explain stress-related exacerbations and inform combined microbiota-directed and behavioral interventions.

Multidisciplinary integration and standardization are pivotal for clinical translation. Collaboration among gastroenterology, nutrition, microbiology, data science, and engineering can deliver harmonized gas-measurement protocols and pediatric reference ranges. Patient-centered trials testing rational combinations—such as probiotics plus dietary modulation or neuromodulation alongside gas-reducing agents—are needed to address PFC’s multifactorial nature.

In conclusion, uniting longitudinal research, technological advancement, and precision medicine will clarify the interplay among microbial gas production, host physiology, and clinical phenotypes. Such work can shift PFC from a condition that is inconsistently managed to one treated with targeted, personalized strategies, ultimately improving children’s quality of life.

Author contributions

YZ: Formal analysis, Investigation, Validation, Visualization, Writing – original draft, Writing – review & editing. ET: Conceptualization, Formal analysis, Investigation, Validation, Visualization, Funding acquisition, Writing – original draft, Writing – review & editing.

Funding

The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Traditional Chinese Medicine Science and Technology Plan of Zhejiang Province (2025ZL150), the Medical and Health Research Science and Technology Plan Project of Zhejiang Province (2024KY554 and 2025KY469), and the Social Development Science and Technology Project of Wenling City (2024S00145).

Acknowledgments

Our profound admiration and respect go to researchers in this field. We apologize to scientists whose work is in this field if their manuscript is not cited. The figures were created using BioRender.com.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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The author(s) declared that Generative AI was not used in the creation of this manuscript.

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References

1. Russo, M, Strisciuglio, C, Scarpato, E, Bruzzese, D, Casertano, M, and Staiano, A. Functional chronic constipation: Rome III criteria versus Rome IV criteria. J Neurogastroenterol Motil. (2019) 25:123–8. doi: 10.5056/jnm18035,

PubMed Abstract | Crossref Full Text | Google Scholar

2. Satya, A, Narahari, J, Babu, TA, and Dhinakaran, H. Functional constipation in children. Indian J Pediatr. (2025) 92:328. doi: 10.1007/s12098-024-05387-5,

PubMed Abstract | Crossref Full Text | Google Scholar

3. Zeevenhooven, J, van der Heijden, S, Devanarayana, NM, Rajindrajith, S, and Benninga, MA. Epidemiology of functional abdominal pain disorders and functional defecation disorders in adolescents in curacao. J Pediatr Gastroenterol Nutr. (2020) 70:e71–6. doi: 10.1097/MPG.0000000000002623,

PubMed Abstract | Crossref Full Text | Google Scholar

4. Altamimi, E, Scarpato, E, Saleh, I, Tantawi, K, Alassaf, M, Ijam, M, et al. National Prevalence of functional gastrointestinal disorders in Jordanian children. Clin Exp Gastroenterol. (2020) 13:267–72. doi: 10.2147/CEG.S256276,

PubMed Abstract | Crossref Full Text | Google Scholar

5. Todhunter-Brown, A, Booth, L, Campbell, P, Cheer, B, Cowie, J, Elders, A, et al. Strategies used for childhood chronic functional constipation: the SUCCESS evidence synthesis. Health Technol Assess. (2024) 28:1–266. doi: 10.3310/PLTR9622,

PubMed Abstract | Crossref Full Text | Google Scholar

6. Bongers, MEJ, van Wijk, MP, Reitsma, JB, and Benninga, MA. Long-term prognosis for childhood constipation: clinical outcomes in adulthood. Pediatrics. (2010) 126:e156–62. doi: 10.1542/peds.2009-1009,

PubMed Abstract | Crossref Full Text | Google Scholar

7. Al-Beltagi, M, Saeed, NK, Bediwy, AS, and Elbeltagi, R. Breaking the cycle: psychological and social dimensions of pediatric functional gastrointestinal disorders. World J Clin Pediatr. (2025) 14:103323. doi: 10.5409/wjcp.v14.i2.103323,

PubMed Abstract | Crossref Full Text | Google Scholar

8. van Ginkel, R, Reitsma, JB, Büller, HA, van Wijk, MP, Taminiau, JAJM, and Benninga, MA. Childhood constipation: longitudinal follow-up beyond puberty. Gastroenterology. (2003) 125:357–63. doi: 10.1016/S0016-5085(03)00888-6,

PubMed Abstract | Crossref Full Text | Google Scholar

9. Pijpers, MAM, Bongers, MEJ, Benninga, MA, and Berger, MY. Functional constipation in children: a systematic review on prognosis and predictive factors. J Pediatr Gastroenterol Nutr. (2010) 50:256–68. doi: 10.1097/MPG.0b013e3181afcdc3,

PubMed Abstract | Crossref Full Text | Google Scholar

10. Pan, Y, and Jiao, F-Y. Addressing functional constipation in children: a call for comprehensive and collaborative management. World J Gastroenterol. (2025) 31:98889. doi: 10.3748/wjg.v31.i7.98889,

PubMed Abstract | Crossref Full Text | Google Scholar

11. Öncü, K, Özel, AM, Demırtürk, L, Gürbüz, AK, Yazgan, Y, and Kizilkaya, E. Determination of the frequency of dyssynergic defecation and patient characteristics in patients with functional constipation. Turk J Gastroenterol. (2010) 21:372–80. doi: 10.4318/tjg.2010.0123,

PubMed Abstract | Crossref Full Text | Google Scholar

12. Huang, Y-H, Xie, C, Chou, C-Y, Jin, Y, Li, W, Wang, M, et al. Subtyping intractable functional constipation in children using clinical and laboratory data in a classification model. Front Pediatr. (2023) 11:1148753. doi: 10.3389/fped.2023.1148753,

PubMed Abstract | Crossref Full Text | Google Scholar

13. Pantazi, AC, Mihai, CM, Lupu, A, Balasa, AL, Chisnoiu, T, Mihai, L, et al. Gut microbiota profile and functional gastrointestinal disorders in infants: a longitudinal study. Nutrients. (2025) 17:701. doi: 10.3390/nu17040701,

PubMed Abstract | Crossref Full Text | Google Scholar

14. Zheng, F, Yang, Y, Lu, G, Tan, JS, Mageswary, U, Zhan, Y, et al. Metabolomics insights into gut microbiota and functional constipation. Meta. (2025) 15:269. doi: 10.3390/metabo15040269,

PubMed Abstract | Crossref Full Text | Google Scholar

15. Rose, DJ, Poudel, R, Van Haute, MJ, Yang, Q, Wang, L, Singh, M, et al. Pulse processing affects gas production by gut bacteria during in vitro fecal fermentation. Food Res Int. (2021) 147:110453. doi: 10.1016/j.foodres.2021.110453,

PubMed Abstract | Crossref Full Text | Google Scholar

16. Kalantar-Zadeh, K, Berean, KJ, Burgell, RE, Muir, JG, and Gibson, PR. Intestinal gases: influence on gut disorders and the role of dietary manipulations. Nat Rev Gastroenterol Hepatol. (2019) 16:733–47. doi: 10.1038/s41575-019-0193-z,

PubMed Abstract | Crossref Full Text | Google Scholar

17. Larik, GNF, Canfora, EE, van Schothorst, EM, and Blaak, EE. Intestinal gases as a non-invasive measurement of microbial fermentation and host health. Cell Host Microbe. (2024) 32:1225–9. doi: 10.1016/j.chom.2024.07.004,

PubMed Abstract | Crossref Full Text | Google Scholar

18. Gandhi, A, Shah, A, Jones, MP, Koloski, N, Talley, NJ, Morrison, M, et al. Methane positive small intestinal bacterial overgrowth in inflammatory bowel disease and irritable bowel syndrome: a systematic review and meta-analysis. Gut Microbes. (2021) 13:1933313. doi: 10.1080/19490976.2021.1933313,

PubMed Abstract | Crossref Full Text | Google Scholar

19. Mehravar, S, Takakura, W, Wang, J, Pimentel, M, Nasser, J, and Rezaie, A. Symptom profile of patients with intestinal methanogen overgrowth: a systematic review and Meta-analysis. Clin Gastroenterol Hepatol. (2025) 23:1111–1122.e9. doi: 10.1016/j.cgh.2024.07.020,

PubMed Abstract | Crossref Full Text | Google Scholar

20. Jahng, J, Jung, IS, Choi, EJ, Conklin, JL, and Park, H. The effects of methane and hydrogen gases produced by enteric bacteria on ileal motility and colonic transit time. Neurogastroenterol Motil. (2012) 24:185–90, e92. doi: 10.1111/j.1365-2982.2011.01819.x,

PubMed Abstract | Crossref Full Text | Google Scholar

21. Scaldaferri, F, Nardone, O, Lopetuso, LR, Petito, V, Bibbò, S, Laterza, L, et al. Intestinal gas production and gastrointestinal symptoms: from pathogenesis to clinical implication. Eur Rev Med Pharmacol Sci. (2013) 17:2–10.

Google Scholar

22. Bendezú, RA, Barba, E, Burri, E, Cisternas, D, Malagelada, C, Segui, S, et al. Intestinal gas content and distribution in health and in patients with functional gut symptoms. Neurogastroenterol Motil. (2015) 27:1249–57. doi: 10.1111/nmo.12618,

PubMed Abstract | Crossref Full Text | Google Scholar

23. Lacy, BE, Gabbard, SL, and Crowell, MD. Pathophysiology, evaluation, and treatment of bloating: hope, hype, or hot air? Gastroenterol Hepatol. (2011) 7:729–39.

PubMed Abstract | Google Scholar

24. Zhang, X, Zhang, X, and Yang, Y. Update of gut gas metabolism in ulcerative colitis. Expert Rev Gastroenterol Hepatol. (2024) 18:339–49. doi: 10.1080/17474124.2024.2383635,

PubMed Abstract | Crossref Full Text | Google Scholar

25. Islam, MM, Fernando, SC, and Saha, R. Metabolic Modeling elucidates the transactions in the rumen microbiome and the shifts upon Virome interactions. Front Microbiol. (2019) 10:2412. doi: 10.3389/fmicb.2019.02412,

PubMed Abstract | Crossref Full Text | Google Scholar

26. Wang, X, Li, J, Li, N, Guan, K, Yin, D, Zhang, H, et al. Evolution of intestinal gases and Fecal short-chain fatty acids produced in vitro by preterm infant gut microbiota during the first 4 weeks of life. Front Pediatr. (2021) 9:726193. doi: 10.3389/fped.2021.726193,

PubMed Abstract | Crossref Full Text | Google Scholar

27. Sender, R, Fuchs, S, and Milo, R. Are we really vastly outnumbered? Revisiting the ratio of bacterial to host cells in humans. Cell. (2016) 164:337–40. doi: 10.1016/j.cell.2016.01.013,

PubMed Abstract | Crossref Full Text | Google Scholar

28. Savage, DC. Microbial ecology of the gastrointestinal tract. Ann Rev Microbiol. (1977) 31:107–33. doi: 10.1146/annurev.mi.31.100177.000543,

PubMed Abstract | Crossref Full Text | Google Scholar

29. Bäckhed, F, Ley, RE, Sonnenburg, JL, Peterson, DA, and Gordon, JI. Host-bacterial mutualism in the human intestine. Science. (2005) 307:1915–20. doi: 10.1126/science.1104816,

PubMed Abstract | Crossref Full Text | Google Scholar

30. Pimentel, M, Mathur, R, and Chang, C. Gas and the microbiome. Curr Gastroenterol Rep. (2013) 15:356. doi: 10.1007/s11894-013-0356-y,

PubMed Abstract | Crossref Full Text | Google Scholar

31. Jin, J, Yue, L, Du, M, Geng, F, Gao, X, Zhou, Y, et al. Molecular hydrogen therapy: mechanisms, delivery methods, preventive, and therapeutic application. MedComm. (2025) 6:e70194. doi: 10.1002/mco2.70194,

PubMed Abstract | Crossref Full Text | Google Scholar

32. Smith, NW, Shorten, PR, Altermann, EH, Roy, NC, and McNabb, WC. Hydrogen cross-feeders of the human gastrointestinal tract. Gut Microbes. (2018) 10:270–88. doi: 10.1080/19490976.2018.1546522,

PubMed Abstract | Crossref Full Text | Google Scholar

33. Wolf, PG, Biswas, A, Morales, SE, Greening, C, and Gaskins, HR. H2 metabolism is widespread and diverse among human colonic microbes. Gut Microbes. (2016) 7:235–45. doi: 10.1080/19490976.2016.1182288,

PubMed Abstract | Crossref Full Text | Google Scholar

34. Levitt, MD. Production and excretion of hydrogen gas in man. N Engl J Med. (1969) 281:122–7. doi: 10.1056/NEJM196907172810303,

PubMed Abstract | Crossref Full Text | Google Scholar

35. Nakamura, N, Lin, HC, McSweeney, CS, Mackie, RI, and Gaskins, HR. Mechanisms of microbial hydrogen disposal in the human colon and implications for health and disease. Annu Rev Food Sci Technol. (2010) 1:363–95. doi: 10.1146/annurev.food.102308.124101,

PubMed Abstract | Crossref Full Text | Google Scholar

36. Arturo, T, and Minella, R. Dynamics and metabolic effects of intestinal gases in healthy humans. Biochimie. (2024) 221:81–90. doi: 10.1016/j.biochi.2024.02.001

Crossref Full Text | Google Scholar

37. Gasbarrini, A, Corazza, GR, Gasbarrini, G, Montalto, M, Di Stefano, M, Basilisco, G, et al. Methodology and indications of H2-breath testing in gastrointestinal diseases: the Rome consensus conference. Aliment Pharmacol Ther. (2009) 29 Suppl 1: 29 Suppl) 29:1–49. doi: 10.1111/j.1365-2036.2009.03951.x,

PubMed Abstract | Crossref Full Text | Google Scholar

38. Velasco-Aburto, S, Llama-Palacios, A, Sánchez, MC, Ciudad, MJ, and Collado, L. Nutritional approach to small intestinal bacterial overgrowth: a narrative review. Nutrients. (2025) 17:1410. doi: 10.3390/nu17091410,

PubMed Abstract | Crossref Full Text | Google Scholar

39. Chassard, C, Scott, KP, Marquet, P, Martin, JC, Del'homme, C, Dapoigny, M, et al. Assessment of metabolic diversity within the intestinal microbiota from healthy humans using combined molecular and cultural approaches. FEMS Microbiol Ecol. (2008) 66:496–504. doi: 10.1111/j.1574-6941.2008.00595.x,

PubMed Abstract | Crossref Full Text | Google Scholar

40. Nava, GM, Carbonero, F, Croix, JA, Greenberg, E, and Gaskins, HR. Abundance and diversity of mucosa-associated hydrogenotrophic microbes in the healthy human colon. ISME J. (2012) 6:57–70. doi: 10.1038/ismej.2011.90,

PubMed Abstract | Crossref Full Text | Google Scholar

41. Onana Ndong, P, Boutallaka, H, Marine-Barjoan, E, Ouizeman, D, Mroue, R, Anty, R, et al. Prevalence of small intestinal bacterial overgrowth in irritable bowel syndrome (IBS): correlating H2 or CH4 production with severity of IBS. JGH Open. (2023) 7:311–20. doi: 10.1002/jgh3.12899,

PubMed Abstract | Crossref Full Text | Google Scholar

42. Suzuki, A, Ito, M, Hamaguchi, T, Mori, H, Takeda, Y, Baba, R, et al. Quantification of hydrogen production by intestinal bacteria that are specifically dysregulated in Parkinson's disease. PLoS One. (2018) 13:e0208313. doi: 10.1371/journal.pone.0208313,

PubMed Abstract | Crossref Full Text | Google Scholar

43. Ostojic, SM. Inadequate production of H2 by gut microbiota and Parkinson disease. Trends Endocrinol Metab. (2018) 29:286–8. doi: 10.1016/j.tem.2018.02.006,

PubMed Abstract | Crossref Full Text | Google Scholar

44. de Lacy Costello, BP, Ledochowski, M, and Ratcliffe, NM. The importance of methane breath testing: a review. J Breath Res. (2013) 7:024001. doi: 10.1088/1752-7155/7/2/024001,

PubMed Abstract | Crossref Full Text | Google Scholar

45. Ye, Z-H, Ning, K, Ander, BP, and Sun, X-J. Therapeutic effect of methane and its mechanism in disease treatment. J Zhejiang Univ Sci B. (2020) 21:593–602. doi: 10.1631/jzus.B1900629,

PubMed Abstract | Crossref Full Text | Google Scholar

46. Balch, WE, Fox, GE, Magrum, LJ, Woese, CR, and Wolfe, RS. Methanogens: reevaluation of a unique biological group. Microbiol Rev. (1979) 43:260–96. doi: 10.1128/mr.43.2.260-296.1979,

PubMed Abstract | Crossref Full Text | Google Scholar

47. Polag, D, Leiß, O, and Keppler, F. Age dependent breath methane in the German population. Sci Total Environ. (2014) 481:582–7. doi: 10.1016/j.scitotenv.2014.02.086,

PubMed Abstract | Crossref Full Text | Google Scholar

48. Flourié, B, Pellier, P, Florent, C, Marteau, P, Pochart, P, and Rambaud, JC. Site and substrates for methane production in human colon. Am J Phys. (1991) 260:G752–7. doi: 10.1152/ajpgi.1991.260.5.G752,

PubMed Abstract | Crossref Full Text | Google Scholar

49. Bond, JH, Engel, RR, and Levitt, MD. Factors influencing pulmonary methane excretion in man. An indirect method of studying the in situ metabolism of the methane-producing colonic bacteria. J Exp Med. (1971) 133:572–88. doi: 10.1084/jem.133.3.572,

PubMed Abstract | Crossref Full Text | Google Scholar

50. Mello, CS, Tahan, S, Melli, LCFL, Rodrigues, MSdC, de Mello, RMP, Scaletsky, ICA, et al. Methane production and small intestinal bacterial overgrowth in children living in a slum. World J Gastroenterol. (2012) 18:5932–9. doi: 10.3748/wjg.v18.i41.5932,

PubMed Abstract | Crossref Full Text | Google Scholar

51. Gaci, N, Borrel, G, Tottey, W, O'Toole, PW, and Brugère, J-F. Archaea and the human gut: new beginning of an old story. World J Gastroenterol. (2014) 20:16062–78. doi: 10.3748/wjg.v20.i43.16062,

PubMed Abstract | Crossref Full Text | Google Scholar

52. Pozuelo, M, Panda, S, Santiago, A, Mendez, S, Accarino, A, Santos, J, et al. Reduction of butyrate- and methane-producing microorganisms in patients with irritable bowel syndrome. Sci Rep. (2015) 5:12693. doi: 10.1038/srep12693,

PubMed Abstract | Crossref Full Text | Google Scholar

53. Hudson, MJ, Tomkins, AM, Wiggins, HS, and Drasar, BS. Breath methane excretion and intestinal methanogenesis in children and adults in rural Nigeria. Scand J Gastroenterol. (1993) 28:993–8. doi: 10.3109/00365529309098298,

PubMed Abstract | Crossref Full Text | Google Scholar

54. Fernandes, J, Wolever, TM, and Rao, AVJNR. Interrelationships between age, total dietary fiber intake and breath methane in humans. Nutr Res. (2000) 20:929–40. doi: 10.1016/S0271-5317(00)00184-6

Crossref Full Text | Google Scholar

55. Chen, Z, Liang, N, Zhang, H, Li, H, Guo, J, Zhang, Y, et al. Resistant starch and the gut microbiome: exploring beneficial interactions and dietary impacts. Food Chem X. (2024) 21:101118. doi: 10.1016/j.fochx.2024.101118,

PubMed Abstract | Crossref Full Text | Google Scholar

56. Medow, MS, Glassman, MS, Schwarz, SM, and Newman, LJ. Respiratory methane excretion in children with lactose intolerance. Dig Dis Sci. (1993) 38:328–32. doi: 10.1007/BF01307552,

PubMed Abstract | Crossref Full Text | Google Scholar

57. Pimentel, M, Lin, HC, Enayati, P, van den Burg, B, Lee, H-R, Chen, JH, et al. Methane, a gas produced by enteric bacteria, slows intestinal transit and augments small intestinal contractile activity. Am J Physiol Gastrointest Liver Physiol. (2006) 290:G1089–95. doi: 10.1152/ajpgi.00574.2004,

PubMed Abstract | Crossref Full Text | Google Scholar

58. Ghoshal, UC, Srivastava, D, Verma, A, and Misra, A. Slow transit constipation associated with excess methane production and its improvement following rifaximin therapy: a case report. J Neurogastroenterol Motil. (2011) 17:185–8. doi: 10.5056/jnm.2011.17.2.185,

PubMed Abstract | Crossref Full Text | Google Scholar

59. Kunkel, D, Basseri, RJ, Makhani, MD, Chong, K, Chang, C, and Pimentel, M. Methane on breath testing is associated with constipation: a systematic review and meta-analysis. Dig Dis Sci. (2011) 56:1612–8. doi: 10.1007/s10620-011-1590-5,

PubMed Abstract | Crossref Full Text | Google Scholar

60. Ghoshal, U, Shukla, R, Srivastava, D, and Ghoshal, UC. Irritable bowel syndrome, particularly the constipation-predominant form, involves an increase in Methanobrevibacter smithii, which is associated with higher methane production. Gut Liver. (2016) 10:932–8. doi: 10.5009/gnl15588,

PubMed Abstract | Crossref Full Text | Google Scholar

61. Chatterjee, S, Park, S, Low, K, Kong, Y, and Pimentel, M. The degree of breath methane production in IBS correlates with the severity of constipation. Am J Gastroenterol. (2007) 102:837–41. doi: 10.1111/j.1572-0241.2007.01072.x,

PubMed Abstract | Crossref Full Text | Google Scholar

62. Soares, ACF, Lederman, HM, Fagundes-Neto, U, and de Morais, MB. Breath methane associated with slow colonic transit time in children with chronic constipation. J Clin Gastroenterol. (2005) 39:512–5. doi: 10.1097/01.mcg.0000165665.94777.bd,

PubMed Abstract | Crossref Full Text | Google Scholar

63. Hofmann, AF, Loening-Baucke, V, Lavine, JE, Hagey, LR, Steinbach, JH, Packard, CA, et al. Altered bile acid metabolism in childhood functional constipation: inactivation of secretory bile acids by sulfation in a subset of patients. J Pediatr Gastroenterol Nutr. (2008) 47:598–606. doi: 10.1097/MPG.0b013e31816920a6,

PubMed Abstract | Crossref Full Text | Google Scholar

64. Di Stefano, M, Mengoli, C, Bergonzi, M, Klersy, C, Pagani, E, Miceli, E, et al. Breath methane excretion is not an accurate marker of colonic methane production in irritable bowel syndrome. Am J Gastroenterol. (2015) 110:891–8. doi: 10.1038/ajg.2015.47,

PubMed Abstract | Crossref Full Text | Google Scholar

65. Levitt, MD. Volume and composition of human intestinal gas determined by means of an intestinal washout technic. N Engl J Med. (1971) 284:1394–8. doi: 10.1056/NEJM197106242842502,

PubMed Abstract | Crossref Full Text | Google Scholar

66. Gibson, GR, and Roberfroid, MB. Dietary modulation of the human colonic microbiota: introducing the concept of prebiotics. J Nutr. (1995) 125:1401–12. doi: 10.1093/jn/125.6.1401,

PubMed Abstract | Crossref Full Text | Google Scholar

67. Salonen, A, and de Vos, WM. Impact of diet on human intestinal microbiota and health. Annu Rev Food Sci Technol. (2014) 5:239–62. doi: 10.1146/annurev-food-030212-182554,

PubMed Abstract | Crossref Full Text | Google Scholar

68. Houben, E, De Preter, V, Billen, J, Van Ranst, M, and Verbeke, K. Additional value of CH₄ measurement in a combined (13)C/H₂ lactose malabsorption breath test: a retrospective analysis. Nutrients. (2015) 7:7469–85. doi: 10.3390/nu7095348,

PubMed Abstract | Crossref Full Text | Google Scholar

69. Amieva-Balmori, M, Coss-Adame, E, Rao, NS, Dávalos-Pantoja, BM, and Rao, SSC. Diagnostic utility of carbohydrate breath tests for SIBO, fructose, and lactose intolerance. Dig Dis Sci. (2020) 65:1405–13. doi: 10.1007/s10620-019-05889-9,

PubMed Abstract | Crossref Full Text | Google Scholar

70. David, LA, Maurice, CF, Carmody, RN, Gootenberg, DB, Button, JE, Wolfe, BE, et al. Diet rapidly and reproducibly alters the human gut microbiome. Nature. (2014) 505:559–63. doi: 10.1038/nature12820,

PubMed Abstract | Crossref Full Text | Google Scholar

71. Cuomo, R, Grasso, R, Sarnelli, G, Capuano, G, Nicolai, E, Nardone, G, et al. Effects of carbonated water on functional dyspepsia and constipation. Eur J Gastroenterol Hepatol. (2002) 14:991–9. doi: 10.1097/00042737-200209000-00010,

PubMed Abstract | Crossref Full Text | Google Scholar

72. Haffreingue, A, Tourneur-Marsille, J, Montalva, L, Berrebi, D, Ogier-Denis, É, and Bonnard, A. Intraperitoneal insufflation of carbon dioxide rescues intestinal damage in an experimental murine model of colitis. J Pediatr Gastroenterol Nutr. (2024) 78:68–76. doi: 10.1002/jpn3.12048,

PubMed Abstract | Crossref Full Text | Google Scholar

73. Wallace, JL, Motta, J-P, and Buret, AG. Hydrogen sulfide: an agent of stability at the microbiome-mucosa interface. Am J Physiol Gastrointest Liver Physiol. (2018) 314:G143–9. doi: 10.1152/ajpgi.00249.2017,

PubMed Abstract | Crossref Full Text | Google Scholar

74. Cirino, G, Szabo, C, and Papapetropoulos, A. Physiological roles of hydrogen sulfide in mammalian cells, tissues, and organs. Physiol Rev. (2023) 103:31–276. doi: 10.1152/physrev.00028.2021,

PubMed Abstract | Crossref Full Text | Google Scholar

75. Blachier, F, Andriamihaja, M, Larraufie, P, Ahn, E, Lan, A, and Kim, E. Production of hydrogen sulfide by the intestinal microbiota and epithelial cells and consequences for the colonic and rectal mucosa. Am J Physiol Gastrointest Liver Physiol. (2021) 320:G125–35. doi: 10.1152/ajpgi.00261.2020,

PubMed Abstract | Crossref Full Text | Google Scholar

76. Buret, AG, Allain, T, Motta, J-P, and Wallace, JL. Effects of hydrogen Sulfide on the microbiome: from toxicity to therapy. Antioxid Redox Signal. (2022) 36:211–9. doi: 10.1089/ars.2021.0004,

PubMed Abstract | Crossref Full Text | Google Scholar

77. Braccia, DJ, Jiang, X, Pop, M, and Hall, AB. The capacity to produce hydrogen Sulfide (H2S) via cysteine degradation is ubiquitous in the human gut microbiome. Front Microbiol. (2021) 12:705583. doi: 10.3389/fmicb.2021.705583,

PubMed Abstract | Crossref Full Text | Google Scholar

78. Villanueva-Millan, MJ, Leite, G, Wang, J, Morales, W, Parodi, G, Pimentel, ML, et al. Methanogens and hydrogen Sulfide producing Bacteria guide distinct gut microbe profiles and irritable bowel syndrome subtypes. Am J Gastroenterol. (2022) 117:2055–66. doi: 10.14309/ajg.0000000000001997,

PubMed Abstract | Crossref Full Text | Google Scholar

79. Kushkevych, I, Dordević, D, Kollar, P, Vítězová, M, and Drago, L. Hydrogen Sulfide as a toxic product in the small-large intestine Axis and its role in IBD development. J Clin Med. (2019) 8:1054. doi: 10.3390/jcm8071054,

PubMed Abstract | Crossref Full Text | Google Scholar

80. Stummer, N, Weghuber, D, Feichtinger, RG, Huber, S, Mayr, JA, Kofler, B, et al. Hydrogen Sulfide metabolizing enzymes in the intestinal mucosa in Pediatric and adult inflammatory bowel disease. Antioxidants (Basel). (2022) 11:2235. doi: 10.3390/antiox11112235,

PubMed Abstract | Crossref Full Text | Google Scholar

81. Wallace, JL, Ferraz, JGP, and Muscara, MN. Hydrogen sulfide: an endogenous mediator of resolution of inflammation and injury. Antioxid Redox Signal. (2012) 17:58–67. doi: 10.1089/ars.2011.4351,

PubMed Abstract | Crossref Full Text | Google Scholar

82. Teigen, L, Biruete, A, and Khoruts, A. Impact of diet on hydrogen sulfide production: implications for gut health. Curr Opin Clin Nutr Metab Care. (2023) 26:55–8. doi: 10.1097/MCO.0000000000000881,

PubMed Abstract | Crossref Full Text | Google Scholar

83. Blachier, F, Beaumont, M, and Kim, E. Cysteine-derived hydrogen sulfide and gut health: a matter of endogenous or bacterial origin. Curr Opin Clin Nutr Metab Care. (2019) 22:68–75. doi: 10.1097/MCO.0000000000000526,

PubMed Abstract | Crossref Full Text | Google Scholar

84. Wolfson, SJ, Hitchings, R, Peregrina, K, Cohen, Z, Khan, S, Yilmaz, T, et al. Bacterial hydrogen sulfide drives cryptic redox chemistry in gut microbial communities. Nat Metab. (2022) 4:1260–70. doi: 10.1038/s42255-022-00656-z,

PubMed Abstract | Crossref Full Text | Google Scholar

85. Birg, A, and Lin, HC. The role of Bacteria-derived hydrogen Sulfide in multiple axes of disease. Int J Mol Sci. (2025) 26:3340. doi: 10.3390/ijms26073340,

PubMed Abstract | Crossref Full Text | Google Scholar

86. Fedele, F, Fioretti, MT, Scarpato, E, Martinelli, M, Strisciuglio, C, and Miele, E. The ten "hard" questions in pediatric functional constipation. Ital J Pediatr. (2024) 50:64. doi: 10.1186/s13052-024-01623-y,

PubMed Abstract | Crossref Full Text | Google Scholar

87. de Moraes, JG, Motta, MEF d A, Beltrão, MF d S, Salviano, TL, and da Silva, GAP. Fecal microbiota and diet of children with chronic constipation. Int J Pediatr. (2016) 2016:6787269. doi: 10.1155/2016/6787269

Crossref Full Text | Google Scholar

88. Wang, J-K, and Yao, S-K. Roles of gut microbiota and metabolites in pathogenesis of functional constipation. Evid Based Complement Alternat Med. (2021) 2021:1–12. doi: 10.1155/2021/5560310,

PubMed Abstract | Crossref Full Text | Google Scholar

89. Mares, CR, Săsăran, MO, and Mărginean, CO. The relationship between small intestinal bacterial overgrowth and constipation in children - a comprehensive review. Front Cell Infect Microbiol. (2024) 14:1431660. doi: 10.3389/fcimb.2024.1431660,

PubMed Abstract | Crossref Full Text | Google Scholar

90. Barnett, D, Thijs, C, Mommers, M, Endika, M, Klostermann, C, Schols, H, et al. Why do babies cry? Exploring the role of the gut microbiota in infantile colic, constipation, and cramps in the KOALA birth cohort study. Gut Microbes. (2025) 17:2485326. doi: 10.1080/19490976.2025.2485326,

PubMed Abstract | Crossref Full Text | Google Scholar

91. Liu, Y, and Whitman, WB. Metabolic, phylogenetic, and ecological diversity of the methanogenic archaea. Ann N Y Acad Sci. (2008) 1125:171–89. doi: 10.1196/annals.1419.019,

PubMed Abstract | Crossref Full Text | Google Scholar

92. Fiedorek, SC, Pumphrey, CL, and Casteel, HB. Breath methane production in children with constipation and encopresis. J Pediatr Gastroenterol Nutr. (1990) 10:473–7. doi: 10.1097/00005176-199005000-00010,

PubMed Abstract | Crossref Full Text | Google Scholar

93. Ojetti, V, Bruno, G, Paolucci, V, Triarico, S, D'Aversa, F, Ausili, E, et al. The prevalence of small intestinal bacterial overgrowth and methane production in patients with myelomeningocele and constipation. Spinal Cord. (2014) 52:61–4. doi: 10.1038/sc.2013.131,

PubMed Abstract | Crossref Full Text | Google Scholar

94. Chumpitazi, BP, Weidler, EM, and Shulman, RJ. Lactulose breath test gas production in childhood IBS is associated with intestinal transit and bowel movement frequency. J Pediatr Gastroenterol Nutr. (2017) 64:541–5. doi: 10.1097/MPG.0000000000001295,

PubMed Abstract | Crossref Full Text | Google Scholar

95. Zhang, C, Zhang, Y, Ma, K, Wang, G, Tang, M, Wang, R, et al. Lactobacillus plantarum Lp3a improves functional constipation: evidence from a human randomized clinical trial and animal model. Ann Transl Med. (2022) 10:316. doi: 10.21037/atm-22-458,

PubMed Abstract | Crossref Full Text | Google Scholar

96. Xu, M-M, Guo, Y, Chen, Y, Zhang, W, Wang, L, and Li, Y. Electro-acupuncture promotes gut motility and alleviates functional constipation by regulating gut microbiota and increasing butyric acid generation in mice. J Integr Med. (2023) 21:397–406. doi: 10.1016/j.joim.2023.05.003,

PubMed Abstract | Crossref Full Text | Google Scholar

97. Yang, W-C, Zeng, B-S, Liang, C-S, Hsu, C-W, Su, K-P, Wu, Y-C, et al. Efficacy and acceptability of different probiotic products plus laxatives for pediatric functional constipation: a network meta-analysis of randomized controlled trials. Eur J Pediatr. (2024) 183:3531–41. doi: 10.1007/s00431-024-05568-6,

PubMed Abstract | Crossref Full Text | Google Scholar

98. Leiby, A, Mehta, D, Gopalareddy, V, Jackson-Walker, S, and Horvath, K. Bacterial overgrowth and methane production in children with encopresis. J Pediatr. (2010) 156:766–70. doi: 10.1016/j.jpeds.2009.10.043

Crossref Full Text | Google Scholar

99. Takakura, W, and Pimentel, M. Small intestinal bacterial overgrowth and irritable bowel syndrome - an update. Front Psych. (2020) 11:664. doi: 10.3389/fpsyt.2020.00664,

PubMed Abstract | Crossref Full Text | Google Scholar

100. Suri, J, Kataria, R, Malik, Z, Parkman, HP, and Schey, R. Elevated methane levels in small intestinal bacterial overgrowth suggests delayed small bowel and colonic transit. Medicine. (2018) 97:e10554. doi: 10.1097/MD.0000000000010554,

PubMed Abstract | Crossref Full Text | Google Scholar

101. Roland, BC, Ciarleglio, MM, Clarke, JO, Semler, JR, Tomakin, E, Mullin, GE, et al. Small intestinal transit time is delayed in small intestinal bacterial overgrowth. J Clin Gastroenterol. (2015) 49:571–6. doi: 10.1097/MCG.0000000000000257,

PubMed Abstract | Crossref Full Text | Google Scholar

102. Vajro, P, Silano, G, Longo, D, Staiano, A, and Fontanella, A. Orocoecal transit time in healthy and constipated children. Acta Paediatr Scand. (1988) 77:583–6. doi: 10.1111/j.1651-2227.1988.tb10704.x,

PubMed Abstract | Crossref Full Text | Google Scholar

103. Soares, ACF, Lederman, HM, Fagundes-Neto, U, and de Morais, MB. Breath hydrogen test after a bean meal demonstrates delayed oro-cecal transit time in children with chronic constipation. J Pediatr Gastroenterol Nutr. (2005) 41:221–4. doi: 10.1097/01.mpg.0000167499.40074.d7,

PubMed Abstract | Crossref Full Text | Google Scholar

104. Soares, ACF, Tahan, S, and Morais, MBd. Effects of conventional treatment of chronic functional constipation on total and segmental colonic and orocecal transit times. J Pediatr. (2009) 85:322–8. doi: 10.2223/JPED.1912,

PubMed Abstract | Crossref Full Text | Google Scholar

105. Ge, X, Zhao, W, Ding, C, Tian, H, Xu, L, Wang, H, et al. Potential role of fecal microbiota from patients with slow transit constipation in the regulation of gastrointestinal motility. Sci Rep. (2017) 7:441. doi: 10.1038/s41598-017-00612-y,

PubMed Abstract | Crossref Full Text | Google Scholar

106. Quan, X, Luo, H, Liu, Y, Xia, H, Chen, W, and Tang, Q. Hydrogen sulfide regulates the colonic motility by inhibiting both L-type calcium channels and BKCa channels in smooth muscle cells of rat colon. PLoS One. (2015) 10:e0121331. doi: 10.1371/journal.pone.0121331,

PubMed Abstract | Crossref Full Text | Google Scholar

107. Lu, W, Li, J, Gong, L, Xu, X, Han, T, Ye, Y, et al. H2 S modulates duodenal motility in male rats via activating TRPV1 and K(ATP) channels. Br J Pharmacol. (2014) 171:1534–50. doi: 10.1111/bph.12562,

PubMed Abstract | Crossref Full Text | Google Scholar

108. Ritz, NL, Lin, DM, Wilson, MR, Barton, LL, and Lin, HC. Sulfate-reducing bacteria slow intestinal transit in a bismuth-reversible fashion in mice. Neurogastroenterol Motil. (2017) 29. doi: 10.1111/nmo.12907,

PubMed Abstract | Crossref Full Text | Google Scholar

109. Grasa, L, Abecia, L, Peña-Cearra, A, Robles, S, Layunta, E, Latorre, E, et al. TLR2 and TLR4 interact with sulfide system in the modulation of mouse colonic motility. Neurogastroenterol Motil. (2019) 31:e13648. doi: 10.1111/nmo.13648,

PubMed Abstract | Crossref Full Text | Google Scholar

110. Nalli, AD, Bhattacharya, S, Wang, H, Kendig, DM, Grider, JR, and Murthy, KS. Augmentation of cGMP/PKG pathway and colonic motility by hydrogen sulfide. Am J Physiol Gastrointest Liver Physiol. (2017) 313:G330–41. doi: 10.1152/ajpgi.00161.2017,

PubMed Abstract | Crossref Full Text | Google Scholar

111. Jimenez, M, Gil, V, Martinez-Cutillas, M, Mañé, N, and Gallego, D. Hydrogen sulphide as a signalling molecule regulating physiopathological processes in gastrointestinal motility. Br J Pharmacol. (2017) 174:2805–17. doi: 10.1111/bph.13918,

PubMed Abstract | Crossref Full Text | Google Scholar

112. Xiao, P, Song, T, Li, XL, Xiao, YM, Wang, RX, Song, FF, et al. Effects of dietary fiber on Chinese children with functional constipation and targeted modification of gut microbiota and related metabolites. Front Nutr. (2025) 12:1579668. doi: 10.3389/fnut.2025.1579668,

PubMed Abstract | Crossref Full Text | Google Scholar

113. Hammer, HF, Fox, MR, Keller, J, Salvatore, S, Basilisco, G, Hammer, J, et al. European guideline on indications, performance, and clinical impact of hydrogen and methane breath tests in adult and pediatric patients: European Association for Gastroenterology, endoscopy and nutrition, European Society of Neurogastroenterology and Motility, and European Society for Paediatric Gastroenterology Hepatology and Nutrition consensus. United European Gastroenterol J. (2022) 10:15–40. doi: 10.1002/ueg2.12133,

PubMed Abstract | Crossref Full Text | Google Scholar

114. Eisenmann, A, Amann, A, Said, M, Datta, B, and Ledochowski, M. Implementation and interpretation of hydrogen breath tests. J Breath Res. (2008) 2:046002. doi: 10.1088/1752-7155/2/4/046002,

PubMed Abstract | Crossref Full Text | Google Scholar

115. Rezaie, A, Buresi, M, Lembo, A, Lin, H, McCallum, R, Rao, S, et al. Hydrogen and methane-based breath testing in gastrointestinal disorders: the north American consensus. Am J Gastroenterol. (2017) 112:775–84. doi: 10.1038/ajg.2017.46,

PubMed Abstract | Crossref Full Text | Google Scholar

116. Pitcher, CK, Farmer, AD, Haworth, JJ, Treadway, S, and Hobson, AR. Performance and interpretation of hydrogen and methane breath testing impact of north American consensus guidelines. Dig Dis Sci. (2022) 67:5571–9. doi: 10.1007/s10620-022-07487-8,

PubMed Abstract | Crossref Full Text | Google Scholar

117. Benninga, MA, Büller, HA, Tytgat, GN, Akkermans, LM, Bossuyt, PM, and Taminiau, JA. Colonic transit time in constipated children: does pediatric slow-transit constipation exist? J Pediatr Gastroenterol Nutr. (1996) 23:241–51. doi: 10.1097/00005176-199610000-00007,

PubMed Abstract | Crossref Full Text | Google Scholar

118. Mehta, M, and Beg, M. Fructose intolerance: cause or cure of chronic functional constipation. Glob Pediatr Health. (2018) 5:2333794X18761460. doi: 10.1177/2333794X18761460,

PubMed Abstract | Crossref Full Text | Google Scholar

119. Chen, AGY, Offereins, MSL, Mulder, CJ, Frampton, CM, and Gearry, RB. A pilot study of the effect of green kiwifruit on human intestinal fermentation measured by hydrogen and methane breath testing. J Med Food. (2018) 21:1295–8. doi: 10.1089/jmf.2018.4179,

PubMed Abstract | Crossref Full Text | Google Scholar

120. Infante Pina, D, Miserachs Barba, M, Segarra Canton, O, Alvarez Beltrán, M, Redecillas Ferreiro, S, Vilalta Casas, R, et al. Safety and efficacy of polyethylene glycol 3350 plus electrolytes for the treatment of functional constipation in children. An Pediatr (Barc). (2011) 75:89–95. doi: 10.1016/j.anpedi.2011.01.021,

PubMed Abstract | Crossref Full Text | Google Scholar

121. Ghoshal, UC, Srivastava, D, and Misra, A. A randomized double-blind placebo-controlled trial showing rifaximin to improve constipation by reducing methane production and accelerating colon transit: a pilot study. Indian J Gastroenterol. (2018) 37:416–23. doi: 10.1007/s12664-018-0901-6,

PubMed Abstract | Crossref Full Text | Google Scholar

122. Ghoshal, UC, Mustafa, U, and Mukhopadhyay, SK. FODMAP meal challenge test: a novel investigation to predict response to low-FODMAP diet in non-constipating irritable bowel syndrome. J Gastroenterol Hepatol. (2024) 39:297–304. doi: 10.1111/jgh.16424,

PubMed Abstract | Crossref Full Text | Google Scholar

123. García-Cedillo, MF, Villegas-García, FU, Arenas-Martinez, JS, Ornelas-Arroyo, VJ, Yamamoto-Furusho, JK, Estrella-Sato, LA, et al. Rifaximin-alpha increases lactase activity in patients with irritable bowel syndrome without constipation and small intestinal bacterial overgrowth. Dig Dis Sci. (2025) 70:360–6. doi: 10.1007/s10620-024-08767-1,

PubMed Abstract | Crossref Full Text | Google Scholar

124. Pimentel, M. Breath testing for small intestinal bacterial overgrowth: should we bother? Am J Gastroenterol. (2016) 111:307–8. doi: 10.1038/ajg.2016.30,

PubMed Abstract | Crossref Full Text | Google Scholar

125. Simrén, M, and Stotzer, PO. Use and abuse of hydrogen breath tests. Gut. (2006) 55:297–303. doi: 10.1136/gut.2005.075127,

PubMed Abstract | Crossref Full Text | Google Scholar

126. Ghoshal, UC. How to interpret hydrogen breath tests. J Neurogastroenterol Motil. (2011) 17:312–7. doi: 10.5056/jnm.2011.17.3.312,

PubMed Abstract | Crossref Full Text | Google Scholar

127. Levitt, MD, Furne, JK, Kuskowski, M, and Ruddy, J. Stability of human methanogenic flora over 35 years and a review of insights obtained from breath methane measurements. Clin Gastroenterol Hepatol. (2006) 4:123–9. doi: 10.1016/j.cgh.2005.11.006,

PubMed Abstract | Crossref Full Text | Google Scholar

128. Polag, D, and Keppler, F. Long-term monitoring of breath methane. Sci Total Environ. (2018) 624:69–77. doi: 10.1016/j.scitotenv.2017.12.097,

PubMed Abstract | Crossref Full Text | Google Scholar

129. Cloarec, D, Bornet, F, Gouilloud, S, Barry, JL, Salim, B, and Galmiche, JP. Breath hydrogen response to lactulose in healthy subjects: relationship to methane producing status. Gut. (1990) 31:300–4. doi: 10.1136/gut.31.3.300,

PubMed Abstract | Crossref Full Text | Google Scholar

130. Madigan, KE, Bundy, R, and Weinberg, RB. Distinctive clinical correlates of small intestinal bacterial overgrowth with methanogens. Clin Gastroenterol Hepatol. (2022) 20:1598–1605.e2. doi: 10.1016/j.cgh.2021.09.035,

PubMed Abstract | Crossref Full Text | Google Scholar

131. Yin, J, Zhao, Y, Peng, Z, Ba, F, Peng, P, Liu, X, et al. Rapid identification method for CH4/CO/CH4-CO gas mixtures based on electronic nose. Sensors. (2023) 23:2975. doi: 10.3390/s23062975,

PubMed Abstract | Crossref Full Text | Google Scholar

132. Wilson, AD. Application of electronic-nose technologies and VOC-biomarkers for the noninvasive early diagnosis of gastrointestinal diseases †. Sensors (Basel). (2018) 18:2613. doi: 10.3390/s18082613,

PubMed Abstract | Crossref Full Text | Google Scholar

133. Kang, M, Cho, I, Park, J, Jeong, J, Lee, K, Lee, B, et al. High accuracy real-time multi-gas identification by a batch-uniform gas sensor Array and deep learning algorithm. ACS Sensors. (2022) 7:430–40. doi: 10.1021/acssensors.1c01204,

PubMed Abstract | Crossref Full Text | Google Scholar

134. Ma, T-T, Chang, Z, Zhang, N, and Xu, H. Application of electronic nose technology in the diagnosis of gastrointestinal diseases: a review. J Cancer Res Clin Oncol. (2024) 150:401. doi: 10.1007/s00432-024-05925-w,

PubMed Abstract | Crossref Full Text | Google Scholar

135. de Meij, TGJ, de Boer, NKH, Benninga, MA, Lentferink, YE, de Groot, EFJ, van de Velde, ME, et al. Faecal gas analysis by electronic nose as novel, non-invasive method for assessment of active and quiescent paediatric inflammatory bowel disease: proof of principle study. J Crohns Colitis. (2014) S1873-9946:00285-2. doi: 10.1016/j.crohns.2014.09.004,

PubMed Abstract | Crossref Full Text | Google Scholar

136. Hosfield, BD, Pecoraro, AR, Baxter, NT, Hawkins, TB, and Markel, TA. The assessment of Fecal volatile organic compounds in healthy infants: electronic nose device predicts patient demographics and microbial enterotype. J Surg Res. (2020) 254:340–7. doi: 10.1016/j.jss.2020.05.010,

PubMed Abstract | Crossref Full Text | Google Scholar

137. Chan, DK, Leggett, CL, and Wang, KK. Diagnosing gastrointestinal illnesses using fecal headspace volatile organic compounds. World J Gastroenterol. (2016) 22:1639–49. doi: 10.3748/wjg.v22.i4.1639,

PubMed Abstract | Crossref Full Text | Google Scholar

138. Dalis, C, Mesfin, FM, Manohar, K, Liu, J, Shelley, WC, Brokaw, JP, et al. Volatile organic compound assessment as a screening tool for early detection of gastrointestinal diseases. Microorganisms. (2023) 11:1822. doi: 10.3390/microorganisms11071822,

PubMed Abstract | Crossref Full Text | Google Scholar

139. Arasaradnam, RP, Ouaret, N, Thomas, MG, Quraishi, N, Heatherington, E, Nwokolo, CU, et al. A novel tool for noninvasive diagnosis and tracking of patients with inflammatory bowel disease. Inflamm Bowel Dis. (2013) 19:999–1003. doi: 10.1097/MIB.0b013e3182802b26,

PubMed Abstract | Crossref Full Text | Google Scholar

140. Westenbrink, E, Arasaradnam, RP, O'Connell, N, Bailey, C, Nwokolo, C, Bardhan, KD, et al. Development and application of a new electronic nose instrument for the detection of colorectal cancer. Biosens Bioelectron. (2015) 67:733–8. doi: 10.1016/j.bios.2014.10.044,

PubMed Abstract | Crossref Full Text | Google Scholar

141. Peters, Y, Schrauwen, RWM, Tan, AC, Bogers, SK, de Jong, B, and Siersema, PD. Detection of Barrett's oesophagus through exhaled breath using an electronic nose device. Gut. (2020) 69:1169–72. doi: 10.1136/gutjnl-2019-320273,

PubMed Abstract | Crossref Full Text | Google Scholar

142. Surjanhata, B, Barshop, K, Staller, K, Semler, J, Guay, L, and Kuo, B. Colonic motor response to wakening is blunted in slow transit constipation as detected by wireless motility capsule. Clin Transl Gastroenterol. (2018) 9:e144. doi: 10.1038/s41424-018-0012-9,

PubMed Abstract | Crossref Full Text | Google Scholar

143. Bae, SH, and Kim, MR. Subtype classification of functional constipation in children: polyethylene glycol versus lactulose. Pediatr Int. (2020) 62:816–9. doi: 10.1111/ped.14235,

PubMed Abstract | Crossref Full Text | Google Scholar

144. Baranska, A, Mujagic, Z, Smolinska, A, Dallinga, JW, Jonkers, DMAE, Tigchelaar, EF, et al. Volatile organic compounds in breath as markers for irritable bowel syndrome: a metabolomic approach. Aliment Pharmacol Ther. (2016) 44:45–56. doi: 10.1111/apt.13654,

PubMed Abstract | Crossref Full Text | Google Scholar

145. Rossi, M, Aggio, R, Staudacher, HM, Lomer, MC, Lindsay, JO, Irving, P, et al. Volatile organic compounds in Feces associate with response to dietary intervention in patients with irritable bowel syndrome. Clin Gastroenterol Hepatol. (2018) 16:385–391.e1. doi: 10.1016/j.cgh.2017.09.055,

PubMed Abstract | Crossref Full Text | Google Scholar

146. Kasti, AN, Katsas, K, Pavlidis, DE, Stylianakis, E, Petsis, KI, Lambrinou, S, et al. Clinical trial: a Mediterranean Low-FODMAP diet alleviates symptoms of non-constipation IBS-randomized controlled study and Volatomics analysis. Nutrients. (2025) 17:1545. doi: 10.3390/nu17091545,

PubMed Abstract | Crossref Full Text | Google Scholar

147. Farmer, AD, Scott, SM, and Hobson, AR. Gastrointestinal motility revisited: the wireless motility capsule. United European Gastroenterol J. (2013) 1:413–21. doi: 10.1177/2050640613510161,

PubMed Abstract | Crossref Full Text | Google Scholar

148. Tran, K, Brun, R, and Kuo, B. Evaluation of regional and whole gut motility using the wireless motility capsule: relevance in clinical practice. Ther Adv Gastroenterol. (2012) 5:249–60. doi: 10.1177/1756283X12437874,

PubMed Abstract | Crossref Full Text | Google Scholar

149. Radetic, M, Kamal, A, Rouphael, C, Kou, L, Lyu, R, and Cline, M. Severe gastroparesis is associated with an increased incidence of slow-transit constipation as measured by wireless motility capsule. Neurogastroenterol Motil. (2021) 33:e14045. doi: 10.1111/nmo.14045,

PubMed Abstract | Crossref Full Text | Google Scholar

150. Talamantes, S, Steiner, F, Spencer, S, Neshatian, L, and Sonu, I. Intestinal methanogen overgrowth (IMO) is associated with delayed small bowel and colonic transit time (TT) on the wireless motility capsule (WMC). Dig Dis Sci. (2024) 69:3361–8. doi: 10.1007/s10620-024-08563-x,

PubMed Abstract | Crossref Full Text | Google Scholar

151. Triadafilopoulos, G. Utility of wireless motility capsule and lactulose breath testing in the evaluation of patients with chronic functional bloating. BMJ Open Gastroenterol. (2016) 3:e000110. doi: 10.1136/bmjgast-2016-000110,

PubMed Abstract | Crossref Full Text | Google Scholar

152. Kuo, B, Maneerattanaporn, M, Lee, AA, Baker, JR, Wiener, SM, Chey, WD, et al. Generalized transit delay on wireless motility capsule testing in patients with clinical suspicion of gastroparesis, small intestinal dysmotility, or slow transit constipation. Dig Dis Sci. (2011) 56:2928–38. doi: 10.1007/s10620-011-1751-6,

PubMed Abstract | Crossref Full Text | Google Scholar

153. Rao, SSC, Kuo, B, McCallum, RW, Chey, WD, DiBaise, JK, Hasler, WL, et al. Investigation of colonic and whole-gut transit with wireless motility capsule and radiopaque markers in constipation. Clin Gastroenterol Hepatol. (2009) 7:537–44. doi: 10.1016/j.cgh.2009.01.017,

PubMed Abstract | Crossref Full Text | Google Scholar

154. Rao, SSC, Mysore, K, Attaluri, A, and Valestin, J. Diagnostic utility of wireless motility capsule in gastrointestinal dysmotility. J Clin Gastroenterol. (2011) 45:684–90. doi: 10.1097/MCG.0b013e3181ff0122,

PubMed Abstract | Crossref Full Text | Google Scholar

155. Eriksson, SE, Maurer, N, Zheng, P, Sarici, IS, DeWitt, A, Riccardi, M, et al. Impact of objective colonic and whole gut motility data as measured by wireless motility capsule on outcomes of Antireflux surgery. J Am Coll Surg. (2023) 236:305–15. doi: 10.1097/XCS.0000000000000470,

PubMed Abstract | Crossref Full Text | Google Scholar

156. Mosley, L, Jehangir, A, Sridhar, S, Sharma, A, and Rao, SSC. What is wrong with this wireless motility capsule? ACG Case Rep J. (2022) 9:e00768. doi: 10.14309/crj.0000000000000768,

PubMed Abstract | Crossref Full Text | Google Scholar

157. Lee, YY, Erdogan, A, and Rao, SSC. How to assess regional and whole gut transit time with wireless motility capsule. J Neurogastroenterol Motil. (2014) 20:265–70. doi: 10.5056/jnm.2014.20.2.265,

PubMed Abstract | Crossref Full Text | Google Scholar

158. Diaz Tartera, HO, Webb, DL, Al-Saffar, AK, Halim, MA, Lindberg, G, Sangfelt, P, et al. Validation of SmartPill® wireless motility capsule for gastrointestinal transit time: intra-subject variability, software accuracy and comparison with video capsule endoscopy. Neurogastroenterol Motil. (2017) 29:1–9. doi: 10.1111/nmo.13107,

PubMed Abstract | Crossref Full Text | Google Scholar

159. Steenackers, N, Wauters, L, der Van Schueren, B, Augustijns, P, Falony, G, Koziolek, M, et al. Effect of obesity on gastrointestinal transit, pressure and pH using a wireless motility capsule. Eur J Pharm Biopharm. (2021) 167:1–8. doi: 10.1016/j.ejpb.2021.07.002,

PubMed Abstract | Crossref Full Text | Google Scholar

160. Chen, K, Zhou, Z, Nie, Y, Cao, Y, Yang, P, Zhang, Y, et al. Adjunctive efficacy of Bifidobacterium animalis subsp. lactis XLTG11 for functional constipation in children. Braz J Microbiol. (2024) 55:1317–30. doi: 10.1007/s42770-024-01276-3,

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: pediatric functional constipation, intestinal gas, gut microbiota dysbiosis, hydrogen, methane, breath testing

Citation: Zhou Y and Tao E (2026) The role of intestinal gases in pediatric functional constipation: a narrative review of pathophysiology and emerging therapeutics. Front. Nutr. 12:1694831. doi: 10.3389/fnut.2025.1694831

Received: 01 September 2025; Revised: 29 October 2025; Accepted: 08 December 2025;
Published: 02 January 2026.

Edited by:

Tingting Chen, Nanchang University, China

Reviewed by:

Dinakaran Vasudevan, SKAN Research Trust, India
Shreyashi Pal, Birla Institute of Technology, Mesra, India

Copyright © 2026 Zhou and Tao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Enfu Tao, dGFvZW5mdUB6anUuZWR1LmNu

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