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SYSTEMATIC REVIEW article

Front. Immunol., 26 January 2026

Sec. Inflammation

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1701650

This article is part of the Research TopicExploring the biology of inflammasomes: Mechanisms, disorders, and therapeutic potentialView all 9 articles

Gut microbiota and postoperative complications in colorectal surgery and its potential association with intestinal permeability and NLRP6 inflammasome

Manuel Buitrago-Ruiz*Manuel Buitrago-Ruiz1*Celia Arias-SnchezCelia Arias-Sánchez2Maria Magdalena Asensio-LpezMaria Magdalena Asensio-López2Juan Jos Martínez-García,Juan José Martínez-García2,3Victoriano Soria-Aledo,,Victoriano Soria-Aledo1,2,4Graciela Valero-Navarro,,*Graciela Valero-Navarro1,2,4*Santiago Cuevas*Santiago Cuevas2*
  • 1Department of General and Digestive Tract Surgery, Morales Meseguer General Hospital, Murcia, Spain
  • 2BioMedical Research Institute of Murcia Pascual Parrilla (IMIB-FFIS), Murcia, Spain
  • 3Department of Biochemestry and Molecular Biology B and Inmunology, Faculty of Medicine, University of Murcia, Murcia, Spain
  • 4Department of Surgery, Pediatrics, Obstetrics and Gynecology. University of Murcia, Murcia, Spain

This manuscript reviews the current evidence describing the relationships between surgical trauma, altered intestinal permeability, dysbiosis, inflammasome activation, and postoperative inflammation in the development of AL. Surgical tissue disruption and anastomosis creation can modify the intestinal microbiota and compromise epithelial barrier function, promoting a proinflammatory environment mediated by inflammasomes such as NLRP3, NLRC4, and NLRP6. This review analyses the inflammatory pathways that may regulate intestinal homeostasis, their potential contribution to postoperative complications such as AL, and how these insights may guide future preventive strategies or help identify patients at increased risk.

1 Introduction, the pathology of anastomotic leakage in colorectal surgery is a complex and multifaceted phenomenon

Anastomotic leak (AL) is a potentially serious complication that can occur after intestinal surgery, and it is one of the most clinically significant complications in colorectal surgery due to its severity and frequency (1). Despite advances in surgical technique, perioperative care and patient optimisation, reported AL rates vary widely across the literature. Overall, colorectal resection related AL incidence ranges approximately 2% to 19% (2, 3). When stratified by anatomical level distal rectal and colo-anal anastomoses present higher rates (up to 18–19%), whereas right-sided colectomies where rates are as low as 1–3% (2, 3).

In efforts to minimise the occurrence of AL following colorectal surgery, multiple preventive strategies have been adopted spanning the pre-operative, intra-operative and post-operative periods. Nevertheless none of these interventions guarantees that AL will be entirely prevented. AL remains multifactorial, and even when best practices are applied a residual risk persists (46). In recent years, AL incidence, along other surgical complications, appears to have reached a plateau, suggesting the existence of relevant yet incompletely understood contributing factors to AL that are only now beginning to be recognised (7).

Our previous studies have analyzed the value of inflammation as a predictor of AL before clinical onset (3, 8), supporting the utility of inflammatory biomarkers for early diagnosis. The clinical onset of AL is characterized by abdominal pain, which can be either localized or generalized when diagnosed late and often accompanied by signs of acute peritonitis, fever and elevated leukocyte counts. Other symptoms, such as ileus, obstruction, or sepsis, are less common but may indicate a more severe leak. Importantly, AL may be present for 24–48 hours before symptoms arise, with most cases becoming clinically apparent around the fifth or sixth postoperative day (9).

Our group has demonstrated that an elevation in C Reactive Protein (CRP) above 15 mg/dL on the third postoperative day (10, 11) is an important predictor of AL, representing a valuable tool for early detection and prevention of its associated morbidity. However, the biological mechanisms that underlie AL and other postoperative complications are not yet well defined. Previous authors have suggested that, when technical errors are controlled, AL results from a complex and dynamic interaction of several factors and biological processes, in which inflammation and the immune system response play a significant role (11, 12). In this context, understanding the molecular pathways triggering inflammation and inflammasome activation may therefore be essential for developing new preventive or therapeutic strategies.

As previously mentioned, a sustained elevation of CRP between postoperative days three and five serves as an early warning sign of complications, including AL NLRP3 inflammasome activation is known to contribute to CRP upregulation (13, 14), however, the precise inflammatory pathways driving CRP elevation in AL, and whether damage associated molecular patterns (DAMP) release plays a direct role, remain unclear. While inflammation is already being used as a clinical marker for surgical complications, emerging evidence suggests that inflammatory modulators could serve as potential therapeutic tools to prevent AL (15, 16).

The activation of inflammasomes and persistent inflammation has been linked to tissue fibrosis and organ dysfunction, notably in the liver and kidneys. In hepatic tissue, cellular damage triggers the release of inflammatory mediators, prompting immune cell infiltration. Resident Kupffer cells are activated, leading to the secretion of proinflammatory cytokines such as IL-1 and IL-18. These cytokines, in turn, stimulate hepatic stellate cells, which differentiate into myofibroblasts and produce excessive extracellular matrix, contributing to fibrosis (17, 18). Similar mechanisms may be triggered after major surgical procedures. Murine models have shown that extensive surgical trauma leads to significant extracellular ATP release, a well-established DAMP (19). ATP further activates the inflammasome cascade via the P2X7 receptor and K+ ionophore, serving as a secondary trigger for NLRP3 inflammasome activation.

Macrophages activated through inflammasome pathways sustain inflammation and promote fibrotic tissue deposition. The STING pathway-mediated activation of macrophage XBP1 drives inflammasome activity and increases the production of TNF-α and TGF-β. When these cytokines interact with hepatocytes, fibroblasts, myofibroblasts, or stellate cells, they enhance extracellular matrix secretion, potentially leading to fibrosis (15, 20). In uncontrolled cases, fibrosis can result in postoperative complications, such as excessive tissue formation following spinal surgery, causing radiculopathy or lumbar canal stenosis (21). Similarly, in strabismus surgery, excessive fibrosis may lead to suboptimal surgical outcomes, making it a key therapeutic target (22). These findings suggest a possible connection between postoperative inflammatory dysregulation, fibrosis-related impairment of anastomotic healing, and AL (13, 15, 18, 23, 24).

This manuscript reviews the current evidence describing the relationships between surgical trauma, altered intestinal permeability, dysbiosis, inflammasome activation, and postoperative inflammation in the development of AL. Surgical tissue disruption and anastomosis creation can modify the intestinal microbiota and compromise epithelial barrier function, promoting a proinflammatory environment mediated by inflammasomes such as NLRP3, NLRC4, and NLRP6. This review analyses the inflammatory pathways that may regulate intestinal homeostasis, their potential contribution to postoperative complications such as AL, and how these insights may guide future preventive strategies or help identify patients at increased risk.

2 Inflammasome in the inflammatory response

The main way in which the innate immune system responds to infection and tissue injury is through the development ofan effective inflammatory response. This response is mediated by large protein complexes expressed on immune cells. These are specific intracellular molecular structures that induce caspase-1 activation, which triggers the processing and activation of pro-inflammatory cytokines such as IL-1β and IL-18 (25).

Over the last decade, Polly Matzinger’s “Danger Hypothesis” (26) has gained prominence, providing a new conceptual framework for the activation of the innate and adaptive immune systems. The innate system is primed to sense “danger signals, “ described as DAMPs, and to respond to them by activating inflammation and shaping adaptive immunity. DAMPs are endogenous molecules that, when released into extracellular or otherwise inappropriate compartments, have potent pro-inflammatory effects and signal tissue damage, such as that occurring during surgical procedures (13). These danger signals, may be released due to cellular and tissue rupture after surgery, inducing the activation of the NLRP3 inflammasome, leading to uncontrolled tissue fibrosis, and potentially contributeto the progression of AL and other observed postoperative complications (13, 27).

Inflammation begins with the recognition of pathogen-associated molecular patterns (PAMPs) DAMPs by pattern recognition receptors (PRRs), extracellular toll-like recptors (TLRs) and intracellular, NOD-like receptors (NLRs) (28). Many NLRs assemble and form multi-protein complexes that regulate inflammation at the post-translational level;these complexes are known as inflammasomes (28). In general, inflammasomes are composed of an NLR (sensor protein), an ASC adaptor (adaptor protein containing a caspase activation and recruitment domain, known as CARD) and a cysteine protease caspase-1 (effector protein) (28).

The NLR sensor comprises three main domains, an N-terminal effector domain, a central nucleotide-binding domain and a C-terminal leucine-rich repeat domain (29). Importantly, NLRs are divided into two subgroups based on differences in the N-terminal effector domain. NLRPs, which contain a pyrin domain (PYD), and NLRC, which contain a caspase activation and recruitment domain (CARD) (29). NLR receptors that mediate inflammasome assembly include NLRP-1, 3, 6, 7, 9 and NLRC-4 (30).

The interaction between a sensor protein and its specific activator leads to inflammasome assembly (31). Activated inflammasomes induce the maturation of pro-inflammatory cytokines that recruit immune cells to the site of infection and injury, triggering inflammation and promoting tissue and organ repair (31, 32). More specifically, following recognition of PAMPs orDAMPs by NLR drives inflammasome oligomerisation, allowing recruitment of the ASC adaptor, which in turn recruits procaspase-1 via CARD–CARD interactions (33). This facilitates autoproteolysis of procaspase-1 into activated caspase-1, which cleaves pro-IL-1β and pro-IL-18 into their mature forms. Mature IL-1β binds to its receptor and their interaction triggers lymphocyte activation, creating a pro-inflammatory environment. Mature IL-18 induces the production of cellular stress-related components, further promoting the chemotactic environment (secretion of inflammatory factors and chemokines) and recruitment of immune cells (32).

In addition, caspase-1 induces the cleavage of gasdermin D (GSDMD) in its activated form, which forms transmembrane pores that facilitate the release of intracellular contents, thereby triggering a type of inflammation-related cell death known as pyroptosis (33). Inflammasome-induced pyroptosis aims to destroy and eliminate infected or damaged cells in order to restore or maintain tissue homeostasis once the inflammatory response is over (31).

2.1 NLRP6 inflammasome in the intestine

The NLRP6 inflammasome is highly present in the gut immune system, and its functions are not yet fully elucidated. NLRP6 activation promotes the maturation of IL-1β and IL-18, thereby contributing to a pro-inflammatory environment (3436). Additionally, NLRP6 regulates microbiota through the production of goblet cell mucus (37, 38), and it’s essential for maintenance of intestinal homeostasis (39). Moreover, NLRP6 has been implicated in the regulation of a healthy microbiome, intestinal barrier integrity (37, 4043), and the pathogenesis of colorectal cancer and inflammatory bowel disease (34, 35, 44);

Direct activators of the NLRP6 inflammasome include short-chain fatty acids (SCFAs), gastrointestinal hormones, and precursors of bioactive molecules, along with intestinal dysbiosis (34).

The NLRP6 inflammasome is tightly linked to inflammation and dysbiosis, having several functions in the gut (35, 36, 38, 42, 4548). Although NLRP6-dependent pathways are not fully defined, several authors propose that NLRP6 helps control pathogenic bacteria via multiple downstream effectors. NLRP6 activation increase mucus secretion, leading to microbiota control (37, 38, 42, 49). Moreover, NLRP6 activation may lead to altered intestinal permeability, which allow bacterial and intraluminal molecules, that may act as DAMPs or PAMPs, igniting the inflammatory cascade (7, 37, 38, 41, 42, 47, 49, 50). This gut inflammation then, spreads systemically, increasing the production of proinflammatory cytokines, such as IL-1 and IL-18, which lead to uncontrolled fibrosis, incorrect healing and AL (13, 15, 18, 2124). NLRP6 also activates pathways that lead to an increase in IL-1 and IL-18, so it could be a direct activator of this inflammatory cascade, potentially lead to AL (35, 36, 38, 45, 48).

Intestinal diseases, such as colorectal cancer and inflammatory bowel disease (IBD), has been also directly linked to up- or downregulations of the expression of NLRP6 inflammasome (35, 44, 45, 51). NLRP6-deficient mice showreduced IL-18 production which led to alterations in gut microbiota (GM), with an increase in Bacteriodes strains. These mice developed mucosal hyperplasia, accelerated inflammatory cell recruitment, facilitated by an alteration in permeability, and exacerbation of colitis induced by dextran sodium sulfate (45). NLRP6 has also been associated with detrimental effects on epithelial cells in the gut. These different actions may respond to post-translational modifications such as ubiquitination or phosphorylation (35, 38, 48).

NLRP6 components are upregulated in response to microbial colonisation during early life, suggesting a key role for the microbiota in the induction of NLRP6-dependent antimicrobial responses and in shaping host–microbiota interaction (52). When dysbiosis is present, NLRP6-mediated intestinal homeostasis is downregulatedAs a result, the host becomes functionally deficient in IL-18 and downstream antimicrobial peptides, which facilitates the persistence of an aberrant microbiome (52). Moreover, dysbiosis and increased proximal epithelial colonization in NLRP6-deficient mice triggers enhanced translocation of microbial products, contributing to increased susceptibility to the development of colitis and colitis-associated colorectal cancer (52). NLRP6 is therefore critical in preventing aberrant microbiota-host interactions, which in turn are necessary to prevent adverse metabolic consequences.

This evidence shows a strong link between inflammation and NLRP6 activity in the physiological response to injury, this being either surgical or infectious. NLRP6 activation, combined with activation in other inflammasomes, such as NLRP3 and NLRC4, which are also present in the gut (7, 13, 35, 36, 41, 45, 48, 53), may play a role in AL and are reciprocal since its response may be triggered by surgical trauma.

2.2 NLRC4 inflammasome in the intestine

The NLRC4 inflammasome is yet another inflammasome that regulates GM and may have a potential role in dysbiosis phenomena and inflammation (49, 53). The NLRC4 inflammasome is primarily related to gram-negative bacteria (49, 53, 54). In a study by Sofia Nordlander and colleagues, NLRC4 expression in intestinal epithelial cells was found to be important for protection against intestinal pathogens (55). A gain-of-function mutation has been described as a cause of autoinflammatory disease associated with dysbiosis (54). To characterise the role of NLRC4 in bacterial inflammation, Nordlander et all used the mouse pathogen Citrobacter rodentium. This is a gram-negative bacterium similar to human enterohaemorrhagic pathogens (E. coli) (56). The pathology associated with this bacterium mimics certain features seen in patients with inflammatory bowel disease (IBD). Interestingly, these patients have been found to have increased levels of bacteria such as E. coli in the terminal ileum (56), supporting a link between epithelial infection and intestinal inflammation.

To investigate the role of the NLRC4 inflammasome, they used wild-type (WT) and NLRC4 knock-out (NLRC4 -/-) B6 mice, all infected with C. rodentium. Their results showed that knockout mice exhibited, an increased systemic immune response; a marked exacerbation of the pathological features of intestinal inflammation, such as hyperplasia, leukocyte infiltration and oedema; hyperproliferation of epithelial cells in the colon; and increased levels of colonisation, as these animals had significantly increased loads of tissue-adherent C. rodentium in the cecum. This was compared to WT mice. All these results demonstrate that NLRC4-mediated protection limits early bacterial colonisation and subsequent intestinal inflammation, suggesting that NLRC4 activation is a critical component of early innate defense against intestinal bacterial pathogens (55).

2.3 NLRP3 inflammasomme

In a similar experimental model, Song-Zhao et al. demonstrated that NLRP3 plays a role analogous to NLRC4 in host responses to intestinal bacterial pathogens. To investigate the role of the NLRP3 inflammasome in bacterial-mediated intestinal inflammation, they infected cohorts of WT, NLRP3 knockout and ASC knockout mice with Citrobacter rodentium. They found that the absence of NLRP3 and ASC expression in the mice resulted in, severe colitis characterized by submucosal inflammation and leukocyte infiltration; systemic colonization and translocation; and increased intestinal inflammation and weight loss compared to WT. These findings show that NLRP3, like NLRC4, estricts intestinal inflammation, limits bacterial localisation in the gut, and prevents severe pathology (57).

In this context, inflammasomes orchestrate immune tolerance or the induction of inflammatory responses to changes in the GM, highlighting the important role that each plays in regulating gut homeostasis and balance within the microbiome (58).

3 Microbiota, dysbiosis, relationship with inflammation and intestinal permeability

Microbiota is defined as the diverse group of living microorganisms, including bacteria, fungi, viruses, and archaea, that naturally colonize body surfaces such as the gastrointestinal tract, skin, respiratory pathways, and other mucosae. These microorganisms play essential roles in the host’s homeostasis and health, actively contributing to key processes such as nutrient metabolism, digestion, immune system modulation, and pathogen protection through the production of antimicrobial metabolites (59). The intestinal tract is colonized by many bacteria that are continuously exposed to a wide variety of antigens and microbial products. This requires a tightly regulated balance between mucosal immune tolerance toward commensals and robust responses against pathogens (58).

The physiological GM is yet to be completely standardized, but there is evidence that plays a central role in both several human physiological pathways and pathologies (46, 60). Surgery, both as a direct anatomical insult and through associated perioperative management (antibiotics, fasting, bowel preparation, anaesthesia), can profoundly affect GM homeostasis (7, 47, 50, 61, 62). This relation is reciprocal since dysbiosis can have a direct impact in AL. It has been described that mice infected with an Enterococcus faecalis strain that produces a collagenase called matrix metalloprotease 9 (MMP9) are more likely to develop AL, and when treated with inhibitors or the E. faecalis strain is eliminated, AL incidence is reduced (7, 63).

3.1 Gut microbiota and dysbiosis

The human gastrointestinal tract hosts a wide and complex microbial community, which has been studied as one of the most important for maintaining human health. The GM is primarily composed of six bacterial phyla, Firmicutes, Bacteroidetes, Actinobacteria, Proteobacteria, Fusobacteria, and Verrucomicrobia, with the first two being the predominant groups (64). Under healthy conditions, the microbiota exhibits stable composition, resilience to disturbances, and an effective symbiotic interaction with the host. A healthy microbiota usually shows high taxonomic diversity, extensive microbial gene richness, and a stable core microbiota (65).

The GM performs multiple essential functions in the host’s physiology. It plays a crucial role in nutrient extraction and biosynthesis of bioactive molecules, including vitamins, amino acids, and essential lipids. Additionally, it ensures proper immune function, not only protecting the host from external pathogens by producing antimicrobial substances but also actively participating in the development and maturation of the intestinal epithelium and immune system, regulating the mucus layer, lymphoid structures, and lymphocyte activity (66, 67).

The balance between the host and the GM is essential for maintaining human health. However, when there is a significant imbalance in the microbiota’s composition, where beneficial bacteria are replaced by potentially pathogenic microorganisms, the gut becomes more susceptible to infections and damage. This phenomenon, known as dysbiosis, refers to the alteration of intestinal homeostasis, marked by decreased microbial diversity and increased proliferation of pathogenic bacteria (68). GM composition is shaped by diet, medication use, host immunity, epithelial status, and by the microbiota itself. Because of the resilience of the GM, a single factor is often insufficient to cause dysbiosis, whereas the combined action of multiple factors, such as inflammation, genetic susceptibility, lifestyle, or drugs that can significantly alter microbial communities and promote imbalance (69).

3.2 Dysbiosis, inflammation, and intestinal permeability

Intestinal homeostasis is regulated by the interaction between the intestinal epithelium, the microbiome, and the host’s immune system. This system heavily depends on the integrity of the epithelium, reinforced by binding proteins like tight junctions (TJs), desmosomes, and adherens junctions (70). A balanced microbiome plays a crucial role in maintaining the intestinal barrier, which protects the host from luminal antigens, pathogens, and toxins while allowing selective permeability (71).

Microbial components and their metabolites are primarily recognized by pattern recognition receptors (PRRs), such as Toll-like receptors (TLRs) and NOD-like receptors (NLRs). Signaling pathway through TLR2 is essential to preserve the integrity of TJs under normal conditions. However, improper regulation of this pathway can activate inflammation via the nuclear factor-kappa B (NF-κB) pathway, triggering the production of pro-inflammatory cytokines such as interferon gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α). These cytokines alter TJs, increasing intestinal permeability and creating a pro-inflammatory environment (72).

In contrast, short-chain fatty acids (SCFAs), such as acetate, propionate, and butyrate, are products of fiber fermentation by beneficial gut bacteria like Bacteroides. These SCFAs are essential for barrier function, as they promote balanced immune responses, support microbial homeostasis, and aid in the regeneration of mucosal tissue (73).

Dysbiosis has been linked to various gastrointestinal diseases and disorders, including inflammatory bowel disease (IBD) and irritable bowel syndrome (73). In patients with IBD, a significant reduction in beneficial bacteria like Faecalibacterium prausnitzii has been observed, along with an increase in pro-inflammatory bacteria such as Proteobacteria and adherent-invasive Escherichia coli. This alteration reduces the production of butyrate, an essential metabolite for epithelial health, and promotes an exaggerated immune response that damages the intestinal mucosa, increasing permeability (70, 74).

In dysbiosis conditions, an increase in lipopolysaccharide (LPS)-producing Gram-negative bacteria is also observed, such as Proteobacteria, worsens the situation. LPS is a potent activator of TLR4, which activates the NF-κB pathway, leading to the release of pro-inflammatory cytokines, perpetuating the inflammation process (70). In experimental models, such as germ-free (GF) mice, the absence of microbiota significantly alters the intestinal immune system. These animals show a reduction in IgA-producing plasma cells and CD4+ T cells, key elements for mucosal immune defense. Additionally, the lack of microbiota affects the normal development of intestinal epithelial cells, compromising the integrity of the intestinal barrier. As a result, GF mice are more susceptible to infections by bacteria, viruses, and parasites (72, 75).

In summary, dysbiosis, inflammation, and increased intestinal permeability can create a harmful self-perpetuating cycle. First, dysbiosis activates the intestinal immune system, triggering an inflammatory response. This inflammation, in turn, affects the integrity of TJs between epithelial cells, leading to increased intestinal permeability. With the intestinal barrier compromised, toxins and microorganisms can cross into the bloodstream, intensifying dysbiosis and exacerbating inflammation. Maintaining a balanced GMis essential not only for intestinal health but also to prevent systemic inflammatory conditions arising from a “leaky gut”.

3.3 Microbiota and surgery

In any surgical intervention affecting the gastrointestinal tract, the function of this barrier is compromised, potentially affecting its ability to preserve intestinal homeostasis.

Surgical interventions themselves profoundly alter the GM, creating a pro-inflammatory microenvironment that further impairs anastomotic healing. Skowron et al. reported significant shifts in microbial composition following surgery, including an increase in pathogens like Escherichia coli and Enterococcus, which adhere to the anastomotic site and exacerbate local inflammation (76). Several authors emphasise that these microbial changes, together with surgical stress and ischaemia, significantly contribute to AL and long-term functional impairment (11, 7780).This dysbiotic state has been linked to inflammasome activation, specifically through NRLC4 and NLRP6, both of which are associated with increased intestinal permeability and impaired barrier function (40, 4750, 53, 54, 61, 81).

Reduced microbial diversity and overrepresentation of pathogenic bacteria have been strongly associated with poor anastomotic healing (5, 7, 7780). There are multiple reviews that describe how bacteria such as Enterococcus faecalis and Pseudomonas aeruginosa produce collagenases that degrade the extracellular matrix and activate matrix metalloproteinase-9 (MMP9), disrupting tissue integrity and increasing the risk of AL (7, 11, 82, 83). Also, higher levels of mucin-degrading bacteria like Lachnospiraceae and Bacteroidaceae, significantly correlates with increased AL risk (84, 85). In contrast, SCFAs—particularly butyrate—show protective effects on anastomotic integrity (86, 87). Studies also emphasize the importance of preoperative preparation, combining oral antibiotics and mechanical bowel preparation, which reduces AL rates compared to either method alone (5, 7). Foppa et al, highlight the need for microbiota-targeted therapies to mitigate this complication by addressing the underlying biological mechanisms (11).

Interventions aimed at restoring microbial balance have shown promise in reducing postoperative complications. Darbandi et al. found evidence which suggest that probiotics enhance gut barrier integrity, promote microbial diversity, and decrease the prevalence of pathogenic strains, all of which may lower the incidence of AL (88, 89)​. Evidence suggests that preoperative and perioperative microbiota-targeted strategies, such as probiotics, could enhance mucosal healing, immune modulation, and reduce pathogenic colonization.

Liu et al, concluded that patients treated with probiotics showed less infectious complications after colorectal surgery. Patients that were not treated with probiotics had decreased colonization by Paseudomona, Candida and Enterobacteriae phyla (90). Darbandi et al. found similar results when reviewing clinical trials that showed the effects of probiotics in colorectal surgery patients (91). Polakowski et al. found that synbiotics could decrease postsurgical infectious complications, and reduced both IL-6 and CRP levels compared to placebo (92).

Collectively, these data demonstrate a strong link between surgery, dysbiosis, and postoperative complications, including AL, even in patients without classical risk factors. Moreover, therapies targeting this axis have shown encouraging results in reducing AL incidence and other adverse outcomes. Our aim is to explore the molecular pathways that underlie these observations and to integrate them with the pro-inflammatory state driven by NLRP6 and NLRC4 inflammasome activation after intestinal surgical injury.

4 Proposed mechanisms of pathophysiology on intestinal leakage, dysbiosis and fibrosis; the role of inflammation

Intestinal anastomosis is a common procedure in most patients undergoing colorectal surgery that involves bowel resection. One of the most serious complications arising in the early postoperative period is anastomotic leakage (AL), which can necessitate admission to the intensive care unit, require reoperation, or even result in mortality. Given its impact, identifying the factors that influence AL and developing tools for early detection and prevention remain key priorities in colorectal surgery (8).

Surgery necessarily involves breaking the intestinal barrier, colonized by various populations that make up the microbiota (78). Scientific evidence suggests a relationship between AL and dysbiosis. Although the mechanisms are not fully understood, various perioperative procedures have been associated with altering the phenotypes and genotypes of commensal bacteria, promoting their transformation into invasive pathogens that degrade tissues during surgery, leading to more overall complications (93). In this context, the reduction of SCFAs, along with an increase in pro-inflammatory substances such as LPS, has been closely linked to the occurrence of anastomotic leakage (94). Factors such as antibiotic use, perisurgical intestinal preparation, dietary changes, or pre-existing inflammatory conditions can cause dysbiosis, reducing the gut’s ability to heal properly and promoting the occurrence of postoperative complications, such as anastomotic leakage. Therefore, GM before and after surgery may be crucial for predicting or reducing the risk of this complication.

This manuscript also describes several pathways through which inflammation may be activated in the postoperative setting (Figure 1). Inflammation is fundamental for maintaining immune balance in intestinal tissues and preserving barrier integrity (72). Growing evidence suggests that multiple inflammasomes may be involved in triggering inflammatory processes within this tissue, thereby promoting fibrosis. This, in turn, could impair postoperative tissue sealing and lead to anastomotic leakage.

Figure 1
Ilustration showing the impact of surgery on the patient's inflammatory status. It shows how surgery cause DAMP realease and takes part in dybiosis. Both phenomena participate in inflammasome activation which leads to increased intestinal permeability, activating the inflammatory response, which vía TGF-beta increases collagen deposition and fibrosis that can lead to anastomotic leakage or other postoperative morbidities.

Figure 1. Inflammation, fibrosis and intestinal permeability may be associated with postoperative morbidities in intestinal surgery. Damage-Associated Molecular Patterns (DAMPs) are released into the extracellular space during surgery and could activate inflammasomes, triggering inflammation that may affect the gut microbiota. Dysbiosis has been associated with increased intestinal permeability, systemic inflammation and intestinal fibrosis, creating a feedback loop of inflammatory activation that could lead to anastomotic leakage and other post-operative complications.

Identifying universal mechanism underlying all cases of AL is unlikely. However, current evidence highlights a synergistic interaction between inflammation, the intestinal microbiota, and, in particular, the activity of the NLRP6 and NLRP3 inflammasomes. Alterations in inflammasome activation or changes in the microbiota can simultaneously affect both systems, generating a pathological environment that promotes fibrosis and leakage.

Therefore, a detailed study of these factors, their interrelationships, and how the immune system influences GM (and vice versa) is essential to explore his effect triggering AL. Both dysbiosis and gut inflammation may disrupt intestinal barrier integrity, allowing PAMPs to translocate into tissues and promote systemic inflammation through the activation of NLRP3 and NLRP6 inflammasomes. This inflammatory response can, in turn, alter the GM composition, creating a self-perpetuating cycle of dysbiosis and inflammation. These mechanisms warrant precise investigation, as the evidence suggests they could play an important role in the pathogenesis of post-surgical complications, or even predict the occurrence of anastomotic leakage in some of the patients included in this study.

In this regard, the analysis of DAMP and PAMP concentrations in peripheral blood may serve as a promising biomarker and potential diagnostic tool. If confirmed, these circulating molecules released through inflammasome activity (for example, in renal tissue) could play a crucial role in the early identification of AL, allowing for timely preventive intervention to prevent this complication.

Additionally, inflammation is essential for tissue repair, uncontrolled activation or inhibition can lead to fibrosis and tissue damage. Given the potential role of inflammasome activation, via either DAMP release or dysbiosis, in AL following colorectal surgery, targeting these pathways may represent a promising avenue for both early diagnosis and therapeutic intervention.

5 Conclusions and future perspectives

Emerging evidence highlights that maintaining a healthy microbiota and a properly regulated inflammatory environment, including the proper activity of the gut NLRP6 inflammasome, may essential for preventing these conditions and for mitigating complications such as anastomotic leakage following gastrointestinal surgery. Managing the microbiota before and after surgical interventions may significantly improve recovery outcomes and reduce associated risks.

Future research should focus on elucidating the molecular mechanisms underlying the relationship between microbiota, dysbiosis, and systemic inflammation to develop targeted therapies for gastrointestinal disorders and related systemic diseases. Innovative approaches, such as microbiota modulation using prebiotics, probiotics, postbiotics, and fecal microbiota transplantation (FMT), as well as NLRP6 inflammasome regulation, hold significant promise for restoring gut balance and enhancing intestinal barrier function. Additionally, a deeper understanding of the GM’s role in postoperative recovery, its interaction with inflammatory cells, and inflammasome activity, particularly in preventing complications like anastomotic leakage, could revolutionize perioperative care in gastrointestinal surgery.

Finally, integrating this new knowledge about the role of inflammasome activity in the management of GM, its interactions and consequences on gut permeability, and its role in gut complications paves the way for precision medicine strategies to effectively manage dysbiosis-associated diseases and prevent postsurgery complications.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.

Author contributions

MB-R: Conceptualization, Data curation, Investigation, Methodology, Writing – original draft, Writing – review & editing. CA: Data curation, Resources, Writing – original draft. MA: Data curation, Resources, Writing – original draft. JM-G: Conceptualization, Investigation, Methodology, Writing – review & editing. VS-A: Conceptualization, Investigation, Methodology, Project administration, Supervision, Validation, Writing – review & editing. GV-N: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing. SC: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing.

Funding

The author(s) declared that financial support was received for this work and/or its publication. SC; This study has been funded by Instituto de Salud Carlos III (ISCIII) through the project “PI22/ 00129” and co-funded by the European Union. This work was also funded by the Autonomous Community of the Region of Murcia through the call for Grants for Projects for the Development of Scientific and Technical Research by Competitive Groups, included in the Regional Programme for the Promotion of Scientific and Technical Research (Action Plan 2022) of the Seneca Foundation Agency for Science and Technology of the Region of Murcia (Project 21921/PI/22) and by a Intramural Grant of the BioMedical Research Institute of Murcia (IMIB21/CI/TIPO II/06). GVN; This study has been funded by Instituto de Salud Carlos III (ISCIII) through the project (PI19/00902 and PI22/00277) and co-funded by the European Union. Funding sources provided financial support but had no involvement in study design, collection, analysis and interpretation of data.

Acknowledgments

Pablo Pelegrin and Alberto Baroja form IMIB for their contribution to the development of this manuscript.

Conflict of interest

The authors 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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Abbreviations

AL: Anastomotic Leakage

DAMPs: Damage-Associated Molecular Patterns

CRP: C Reactive Protein

DNA: Deoxyribonucleic acid

IL-1β: Interleukin 1 beta

IL-18: Interleukin 18

NLRs: Nucleotide-binding domain and leucine-rich repeat receptors

ALRs: Absent in melanoma 2-like receptors

ASC: Apoptosis-associated speck-like protein

CARD: Caspase Activation and Recruitment Domain

GSDMD: Gasdermin D

HSCs: Hepatic Stellate Cells

TLR: Toll-like receptor

PAMPs: Pathogen-associated molecular patterns

HAMPs: Homeostasis-altering molecular processes

NF-κB: Nuclear factor kappa B

PRRs: Pattern Recognition Receptors

CLR: C-type Lectin Receptor

RLR: RIG-I-like receptor

NLR: NOD-like receptor

TAK1: Transforming growth factor β-activated kinase 1

TAB1: TGF-Beta Activated Kinase 1 (MAP3K7) Binding Protein 1

TAB2: TGF-Beta Activated Kinase 1 (MAP3K7) Binding Protein 2

IKK: IkappaB Kinase

IL-1: Interleukin 1

IL-6: Interleukin 6

IL-12: Interleukin 12

TNF-α: Tumor necrosis factor alfa

NACHT: Nucleotide-binding oligomerization core domain

LRR domain: Leucine-rich repeat

STAT: Signal Transducer and Activator of Transcription

RAGE: Receptor for Advanced Glycation End-products

TLR4: Toll-like receptor 4

TLR2: Toll-like receptor 2

TLR9: Toll-like receptor 9

P2X4R: The purinergic P2X4 receptor

P2X7R: The purinergic P2X7 receptor

mtDNA: Mitochondrial DNA

ROS: Reactive Oxygen Species

AIM2: Absent in melanoma 2

LDL oxidase: Low-density lipoprotein oxidase

FASN: Fatty acid synthase enzyme

RvD2: Resolvin D2

XBP1: X-box binding protein 1

STING: Stimulator of interferon gene

TGF-β: Transforming growth factor beta

µl: Microliter

HIPEC: Hyperthermic intraperitoneal chemotherapy

MOF: Multiple Organ Failure

SOFA: Sequential Organ Failure Assessment

References

1. Zarnescu EC, Zarnescu NO, and Costea R. Updates of risk factors for anastomotic leakage after colorectal surgery. Diagnostics (Basel). (2021) 11:2382. doi: 10.3390/diagnostics11122382

PubMed Abstract | Crossref Full Text | Google Scholar

2. Ellis CT and Maykel JA. Defining anastomotic leak and the clinical relevance of leaks. Clin Colon Rectal Surg. (2021) 34:359–65. doi: 10.1055/s-0041-1735265

PubMed Abstract | Crossref Full Text | Google Scholar

3. Fang AH, Chao W, and Ecker M. Review of colonic anastomotic leakage and prevention methods. J Clin Med. (2020) 9:4061. doi: 10.3390/jcm9124061

PubMed Abstract | Crossref Full Text | Google Scholar

4. Lee HG. Preventing anastomotic leakage, a devastating complication of colorectal surgery. Ewha Med J. (2023) 46:e29. doi: 10.12771/emj.2023.e29

PubMed Abstract | Crossref Full Text | Google Scholar

5. Meyer J, Naiken S, Christou N, Liot E, Toso C, Buchs NC, et al. Reducing anastomotic leak in colorectal surgery, The old dogmas and the new challenges. World J Gastroenterol. (2019) 25:5017–25. doi: 10.3748/wjg.v25.i34.5017

PubMed Abstract | Crossref Full Text | Google Scholar

6. Chaouch MA, Kellil T, Jeddi C, Saidani A, Chebbi F, and Zouari K. How to prevent anastomotic leak in colorectal surgery? A systematic review. Ann Coloproctol. (2020) 36:213–22. doi: 10.3393/ac.2020.05.14.2

PubMed Abstract | Crossref Full Text | Google Scholar

7. Russ AJ and Casillas MA. Gut microbiota and colorectal surgery, impact on postoperative complications. Clin Colon Rectal Surg. (2016) 29:253–7. doi: 10.1055/s-0036-1584502

PubMed Abstract | Crossref Full Text | Google Scholar

8. Daams F, Wu Z, Lahaye MJ, Jeekel J, and Lange JF. Prediction and diagnosis of colorectal anastomotic leakage, A systematic review of literature. World J Gastrointest Surg. (2014) 6:14–26. doi: 10.4240/wjgs.v6.i2.14

PubMed Abstract | Crossref Full Text | Google Scholar

9. Bruce J, Krukowski ZH, Al-Khairy G, Russell EM, and Park KG. Systematic review of the definition and measurement of anastomotic leak after gastrointestinal surgery. Br J Surg. (2001) 88:1157–68. doi: 10.1046/j.0007-1323.2001.01829.x

PubMed Abstract | Crossref Full Text | Google Scholar

10. Baeza-Murcia M, Valero-Navarro G, Pellicer-Franco E, Soria-Aledo V, Mengual-Ballester M, Garcia-Marin JA, et al. Early diagnosis of anastomotic leakage in colorectal surgery, prospective observational study of the utility of inflammatory markers and determination of pathological levels. Updates surgery. (2021) 73:2103–11. doi: 10.1007/s13304-021-01082-8

PubMed Abstract | Crossref Full Text | Google Scholar

11. Foppa C, Ng SC, Montorsi M, and Spinelli A. Anastomotic leak in colorectal cancer patients, New insights and perspectives. Eur J Surg oncology J Eur Soc Surg Oncol Br Assoc Surg Oncol. (2020) 46:943–54. doi: 10.1016/j.ejso.2020.02.027

PubMed Abstract | Crossref Full Text | Google Scholar

12. Bauer C, Duewell P, Lehr HA, Endres S, and Schnurr M. Protective and aggravating effects of Nlrp3 inflammasome activation in IBD models, influence of genetic and environmental factors. Dig Dis. (2012) 30 Suppl 1:82–90. doi: 10.1159/000341681

PubMed Abstract | Crossref Full Text | Google Scholar

13. Caballero-Herrero MJ, Jumilla E, Buitrago-Ruiz M, Valero-Navarro G, and Cuevas S. Role of damage-associated molecular patterns (DAMPS) in the postoperative period after colorectal surgery. Int J Mol Sci. (2023) 24:3862. doi: 10.3390/ijms24043862

PubMed Abstract | Crossref Full Text | Google Scholar

14. Liang Y, Zhou HF, Tong M, Chen L, Ren K, and Zhao GJ. Colchicine inhibits endothelial inflammation via NLRP3/CRP pathway. Int J Cardiol. (2019) 294:55. doi: 10.1016/j.ijcard.2019.06.070

PubMed Abstract | Crossref Full Text | Google Scholar

15. El Zaher HA, Ghareeb WM, Fouad AM, Madbouly K, Fathy H, Vedin T, et al. Role of the triad of procalcitonin, C-reactive protein, and white blood cell count in the prediction of anastomotic leak following colorectal resections. World J Surg Oncol. (2022) 20:33. doi: 10.1186/s12957-022-02506-4

PubMed Abstract | Crossref Full Text | Google Scholar

16. Straatman J, Cuesta MA, Tuynman JB, Veenhof AAFA, Bemelman WA, and van der Peet DL. C-reactive protein in predicting major postoperative complications are there differences in open and minimally invasive colorectal surgery? Substudy from a randomized clinical trial. Surg Endoscopy. (2017) 32:2877–85. doi: 10.1007/s00464-017-5996-9

PubMed Abstract | Crossref Full Text | Google Scholar

17. Leijte GP, Custers H, Gerretsen J, Heijne A, Roth J, Vogl T, et al. Increased plasma levels of danger-associated molecular patterns are associated with immune suppression and postoperative infections in patients undergoing cytoreductive surgery and hyperthermic intraperitoneal chemotherapy. Front Immunol. (2018) 9. doi: 10.3389/fimmu.2018.00663

PubMed Abstract | Crossref Full Text | Google Scholar

18. Lucas-Ruiz F, Peñín-Franch A, Pons JA, Ramírez P, Pelegrín P, Cuevas S, et al. Emerging role of NLRP3 inflammasome and pyroptosis in liver transplantation. Int J Mol Sci. (2022) 23:14396. doi: 10.3390/ijms232214396

PubMed Abstract | Crossref Full Text | Google Scholar

19. Amores-Iniesta J, Barberà-Cremades M, Martínez CM, Pons JA, Revilla-Nuin B, Martínez-Alarcón L, et al. Extracellular ATP activates the NLRP3 inflammasome and is an early danger signal of skin allograft rejection. Cell Rep. (2017) 21:3414–26. doi: 10.1016/j.celrep.2017.11.079

PubMed Abstract | Crossref Full Text | Google Scholar

20. Lee SB and Kalluri R. Mechanistic connection between inflammation and fibrosis. Kidney Int. (2010) 78:S22–S6. doi: 10.1038/ki.2010.418

PubMed Abstract | Crossref Full Text | Google Scholar

21. Lara-de-la-Fuente R and Alanis-Cruces JM. Postoperative fibrosis after lumbar surgery. Acta Ortop Mex. (2009) 23:90–3.

PubMed Abstract | Google Scholar

22. Kersey JP and Vivian AJ. Mitomycin and amniotic membrane: a new method of reducing adhesions and fibrosis in strabismus surgery. Strabismus. (2008) 16:116–8. doi: 10.1080/09273970802405493

PubMed Abstract | Crossref Full Text | Google Scholar

23. Cuevas S and Pelegrin P. Pyroptosis and redox balance in kidney diseases. Antioxid Redox Signal. (2021) 35:40–60. doi: 10.1089/ars.2020.8243

PubMed Abstract | Crossref Full Text | Google Scholar

24. De Miguel C, Pelegrín P, Baroja-Mazo A, and Cuevas S. Emerging role of the inflammasome and pyroptosis in hypertension. Int J Mol Sci. (2021) 22:1064. doi: 10.3390/ijms22031064

PubMed Abstract | Crossref Full Text | Google Scholar

25. Yao J, Sterling K, Wang Z, Zhang Y, and Song W. The role of inflammasomes in human diseases and their potential as therapeutic targets. Signal Transduct Target Ther. (2024) 9:10. doi: 10.1038/s41392-023-01687-y

PubMed Abstract | Crossref Full Text | Google Scholar

26. Matzinger P. Tolerance, danger, and the extended family. Annu Rev Immunol. (1994) 12:991–1045. doi: 10.1146/annurev.iy.12.040194.005015

PubMed Abstract | Crossref Full Text | Google Scholar

27. Pak H, Maghsoudi LH, Soltanian A, and Gholami F. Surgical complications in colorectal cancer patients. Ann Med Surg (Lond). (2020) 55:13–8. doi: 10.1016/j.amsu.2020.04.024

PubMed Abstract | Crossref Full Text | Google Scholar

28. de Alba E. Structure, interactions and self-assembly of ASC-dependent inflammasomes. Arch Biochem Biophys. (2019) 670:15–31. doi: 10.1016/j.abb.2019.05.023

PubMed Abstract | Crossref Full Text | Google Scholar

29. Man SM and Kanneganti TD. Regulation of inflammasome activation. Immunol Rev. (2015) 265:6–21. doi: 10.1111/imr.12296

PubMed Abstract | Crossref Full Text | Google Scholar

30. Bulté D, Rigamonti C, Romano A, and Mortellaro A. Inflammasomes: mechanisms of action and involvement in human diseases. Cells. (2023) 12:1766. doi: 10.3390/cells12131766

PubMed Abstract | Crossref Full Text | Google Scholar

31. Pandey A, Shen C, Feng S, and Man SM. Cell biology of inflammasome activation. Trends Cell Biol. (2021) 31:924–39. doi: 10.1016/j.tcb.2021.06.010

PubMed Abstract | Crossref Full Text | Google Scholar

32. Christgen S, Place DE, and Kanneganti TD. Toward targeting inflammasomes, insights into their regulation and activation. Cell Res. (2020) 30:315–27. doi: 10.1038/s41422-020-0295-8

PubMed Abstract | Crossref Full Text | Google Scholar

33. Xu Z, Kombe Kombe AJ, Deng S, Zhang H, Wu S, Ruan J, et al. NLRP inflammasomes in health and disease. Mol Biomed. (2024) 5:14. doi: 10.1186/s43556-024-00179-x

PubMed Abstract | Crossref Full Text | Google Scholar

34. Santana PT, Rosas SLB, Ribeiro BE, Marinho Y, and de Souza HSP. Dysbiosis in inflammatory bowel disease: pathogenic role and potential therapeutic targets. Int J Mol Sci. (2022) 23:3464. doi: 10.3390/ijms23073464

PubMed Abstract | Crossref Full Text | Google Scholar

35. Venuprasad K and Theiss AL. NLRP6 in host defense and intestinal inflammation. Cell Rep. (2021) 35:109043. doi: 10.1016/j.celrep.2021.109043

PubMed Abstract | Crossref Full Text | Google Scholar

36. Angosto-Bazarra D, Molina-Lopez C, and Pelegrin P. Physiological and pathophysiological functions of NLRP6, pro- and anti-inflammatory roles. Commun Biol. (2022) 5:524. doi: 10.1038/s42003-022-03491-w

PubMed Abstract | Crossref Full Text | Google Scholar

37. Gagliani N, Palm NW, de Zoete MR, and Flavell RA. Inflammasomes and intestinal homeostasis, regulating and connecting infection, inflammation and the microbiota. Int Immunol. (2014) 26:495–9. doi: 10.1093/intimm/dxu066

PubMed Abstract | Crossref Full Text | Google Scholar

38. Wlodarska M, Thaiss CA, Nowarski R, Henao-Mejia J, Zhang JP, Brown EM, et al. NLRP6 inflammasome orchestrates the colonic host-microbial interface by regulating goblet cell mucus secretion. Cell. (2014) 156:1045–59. doi: 10.1016/j.cell.2014.01.026

PubMed Abstract | Crossref Full Text | Google Scholar

39. Levy M, Shapiro H, Thaiss CA, and Elinav E. NLRP6, A multifaceted innate immune sensor. Trends Immunol. (2017) 38:248–60. doi: 10.1016/j.it.2017.01.001

PubMed Abstract | Crossref Full Text | Google Scholar

40. Levy M, Thaiss CA, Zeevi D, Dohnalova L, Zilberman-Schapira G, Mahdi JA, et al. Microbiota-modulated metabolites shape the intestinal microenvironment by regulating NLRP6 inflammasome signaling. Cell. (2015) 163:1428–43. doi: 10.1016/j.cell.2015.10.048

PubMed Abstract | Crossref Full Text | Google Scholar

41. Zaharie R, Valean D, Popa C, Fetti A, Zdrehus C, Puia A, et al. The multifaceted role and regulation of nlrp3 inflammasome in colitis-associated colo-rectal cancer: A systematic review. Int J Mol Sci. (2023) 24:3472. doi: 10.3390/ijms24043472

PubMed Abstract | Crossref Full Text | Google Scholar

42. Rungue M, Melo V, Martins D, Campos PC, Leles G, Galvao I, et al. NLRP6-associated host microbiota composition impacts in the intestinal barrier to systemic dissemination of Brucella abortus. PloS Negl Trop Dis. (2021) 15:e0009171. doi: 10.1371/journal.pntd.0009171

PubMed Abstract | Crossref Full Text | Google Scholar

43. Couturier-Maillard A, Secher T, Rehman A, Normand S, De Arcangelis A, Haesler R, et al. NOD2-mediated dysbiosis predisposes mice to transmissible colitis and colorectal cancer. J Clin Invest. (2013) 123:700–11. doi: 10.1172/JCI62236

PubMed Abstract | Crossref Full Text | Google Scholar

44. Chen GY, Liu M, Wang F, Bertin J, and Nunez G. A functional role for Nlrp6 in intestinal inflammation and tumorigenesis. J Immunol. (2011) 186:7187–94. doi: 10.4049/jimmunol.1100412

PubMed Abstract | Crossref Full Text | Google Scholar

45. Elinav E, Strowig T, Kau AL, Henao-Mejia J, Thaiss CA, Booth CJ, et al. NLRP6 inflammasome regulates colonic microbial ecology and risk for colitis. Cell. (2011) 145:745–57. doi: 10.1016/j.cell.2011.04.022

PubMed Abstract | Crossref Full Text | Google Scholar

46. Nash AK, Auchtung TA, Wong MC, Smith DP, Gesell JR, Ross MC, et al. The gut mycobiome of the Human Microbiome Project healthy cohort. Microbiome. (2017) 5:153. doi: 10.1186/s40168-017-0373-4

PubMed Abstract | Crossref Full Text | Google Scholar

47. Zhang Y, Chen R, Zhang D, Qi S, and Liu Y. Metabolite interactions between host and microbiota during health and disease, Which feeds the other? BioMed Pharmacother. (2023) 160:114295. doi: 10.1016/j.biopha.2023.114295

PubMed Abstract | Crossref Full Text | Google Scholar

48. Zheng D, Kern L, and Elinav E. The NLRP6 inflammasome. Immunology. (2021) 162:281–9. doi: 10.1111/imm.13293

PubMed Abstract | Crossref Full Text | Google Scholar

49. Manshouri S, Seif F, Kamali M, Bahar MA, Mashayekh A, and Molatefi R. The interaction of inflammasomes and gut microbiota: novel therapeutic insights. Cell Communication Signaling. (2024) 22:209. doi: 10.1186/s12964-024-01504-1

PubMed Abstract | Crossref Full Text | Google Scholar

50. Stern JR, Olivas AD, Valuckaite V, Zaborina O, Alverdy JC, and An G. Agent-based model of epithelial host-pathogen interactions in anastomotic leak. J Surg Res. (2013) 184:730–8. doi: 10.1016/j.jss.2012.12.009

PubMed Abstract | Crossref Full Text | Google Scholar

51. Keshavarz Shahbaz S, Koushki K, Ayati SH, Bland AR, Bezsonov EE, and Sahebkar A. Inflammasomes and colorectal cancer. Cells. (2021) 10:2172. doi: 10.3390/cells10092172

PubMed Abstract | Crossref Full Text | Google Scholar

52. Fruhbeck G, Gomez-Ambrosi J, Ramirez B, Becerril S, Rodriguez A, Mentxaka A, et al. Decreased expression of the NLRP6 inflammasome is associated with increased intestinal permeability and inflammation in obesity with type 2 diabetes. Cell Mol Life Sci. (2024) 81:77. doi: 10.1007/s00018-024-05124-3

PubMed Abstract | Crossref Full Text | Google Scholar

53. Franchi L, Kamada N, Nakamura Y, Burberry A, Kuffa P, Suzuki S, et al. NLRC4-driven production of IL-1beta discriminates between pathogenic and commensal bacteria and promotes host intestinal defense. Nat Immunol. (2012) 13:449–56. doi: 10.1038/ni.2263

PubMed Abstract | Crossref Full Text | Google Scholar

54. Bracaglia C, Marucci G, Del Chierico F, Russo A, Pardeo M, Pires Marafon D, et al. Microbiota transplant to control inflammation in a patient with NLRC4 gain-of-function–induced disease. J Allergy Clin Immunol. (2023) 152:302–3. doi: 10.1016/j.jaci.2023.03.031

PubMed Abstract | Crossref Full Text | Google Scholar

55. Nordlander S, Pott J, and Maloy KJ. NLRC4 expression in intestinal epithelial cells mediates protection against an enteric pathogen. Mucosal Immunol. (2014) 7:775–85. doi: 10.1038/mi.2013.95

PubMed Abstract | Crossref Full Text | Google Scholar

56. Darfeuille-Michaud A, Neut C, Barnich N, Lederman E, Di Martino P, Desreumaux P, et al. Presence of adherent Escherichia coli strains in ileal mucosa of patients with Crohn’s disease. Gastroenterology. (1998) 115:1405–13. doi: 10.1016/S0016-5085(98)70019-8

PubMed Abstract | Crossref Full Text | Google Scholar

57. Song-Zhao GX, Srinivasan N, Pott J, Baban D, Frankel G, and Maloy KJ. Nlrp3 activation in the intestinal epithelium protects against a mucosal pathogen. Mucosal Immunol. (2014) 7:763–74. doi: 10.1038/mi.2013.94

PubMed Abstract | Crossref Full Text | Google Scholar

58. Man SM. Inflammasomes in the gastrointestinal tract, infection, cancer and gut microbiota homeostasis. Nat Rev Gastroenterol Hepatol. (2018) 15:721–37. doi: 10.1038/s41575-018-0054-1

PubMed Abstract | Crossref Full Text | Google Scholar

59. Shreiner AB, Kao JY, and Young VB. The gut microbiome in health and in disease. Curr Opin Gastroenterol. (2015) 31:69–75. doi: 10.1097/MOG.0000000000000139

PubMed Abstract | Crossref Full Text | Google Scholar

60. Human Microbiome Project Consortim. Structure, function and diversity of the healthy human microbiome. Nature. (2012) 486:207–14. doi: 10.1038/nature11234

PubMed Abstract | Crossref Full Text | Google Scholar

61. Hagan T, Cortese M, Rouphael N, Boudreau C, Linde C, Maddur MS, et al. Antibiotics-driven gut microbiome perturbation alters immunity to vaccines in humans. Cell. (2019) 178:1313–28 e13. doi: 10.1016/j.cell.2019.08.010

PubMed Abstract | Crossref Full Text | Google Scholar

62. Kiran RP, Murray AC, Chiuzan C, Estrada D, and Forde K. Combined preoperative mechanical bowel preparation with oral antibiotics significantly reduces surgical site infection, anastomotic leak, and ileus after colorectal surgery. Ann Surg. (2015) 262:416–25. doi: 10.1097/SLA.0000000000001416

PubMed Abstract | Crossref Full Text | Google Scholar

63. Shogan BD, Belogortseva N, Luong PM, Zaborin A, Lax S, Bethel C, et al. Collagen degradation and MMP9 activation by Enterococcus faecalis contribute to intestinal anastomotic leak. Sci Transl Med. (2015) 7:286ra68. doi: 10.1126/scitranslmed.3010658

PubMed Abstract | Crossref Full Text | Google Scholar

64. Chen Y, Zhou J, and Wang L. Role and mechanism of gut microbiota in human disease. Front Cell Infect Microbiol. (2021) 11:625913. doi: 10.3389/fcimb.2021.625913

PubMed Abstract | Crossref Full Text | Google Scholar

65. Fan Y and Pedersen O. Gut microbiota in human metabolic health and disease. Nat Rev Microbiol. (2021) 19:55–71. doi: 10.1038/s41579-020-0433-9

PubMed Abstract | Crossref Full Text | Google Scholar

66. Hou K, Wu ZX, Chen XY, Wang JQ, Zhang D, Xiao C, et al. Microbiota in health and diseases. Signal Transduct Target Ther. (2022) 7:135. doi: 10.1038/s41392-022-00974-4

PubMed Abstract | Crossref Full Text | Google Scholar

67. Sommer F and Bäckhed F. The gut microbiota–masters of host development and physiology. Nat Rev Microbiol. (2013) 11:227–38. doi: 10.1038/nrmicro2974

PubMed Abstract | Crossref Full Text | Google Scholar

68. DeGruttola AK, Low D, Mizoguchi A, and Mizoguchi E. Current understanding of dysbiosis in disease in human and animal models. Inflammation Bowel Dis. (2016) 22:1137–50. doi: 10.1097/MIB.0000000000000750

PubMed Abstract | Crossref Full Text | Google Scholar

69. Weiss GA and Hennet T. Mechanisms and consequences of intestinal dysbiosis. Cell Mol Life Sci. (2017) 74:2959–77. doi: 10.1007/s00018-017-2509-x

PubMed Abstract | Crossref Full Text | Google Scholar

70. Di Vincenzo F, Del Gaudio A, Petito V, Lopetuso LR, and Scaldaferri F. Gut microbiota, intestinal permeability, and systemic inflammation, a narrative review. Intern Emerg Med. (2024) 19:275–93. doi: 10.1007/s11739-023-03374-w

PubMed Abstract | Crossref Full Text | Google Scholar

71. Stolfi C, Maresca C, Monteleone G, and Laudisi F. Implication of intestinal barrier dysfunction in gut dysbiosis and diseases. Biomedicines. (2022) 10:289. doi: 10.3390/biomedicines10020289

PubMed Abstract | Crossref Full Text | Google Scholar

72. Karczewski J, Poniedziałek B, Adamski Z, and Rzymski P. The effects of the microbiota on the host immune system. Autoimmunity. (2014) 47:494–504. doi: 10.3109/08916934.2014.938322

PubMed Abstract | Crossref Full Text | Google Scholar

73. Acevedo-Román A, Pagán-Zayas N, Velázquez-Rivera LI, Torres-Ventura AC, and Godoy-Vitorino F. Insights into gut dysbiosis: inflammatory diseases, obesity, and restoration approaches. Int J Mol Sci. (2024) 25:9715. doi: 10.3390/ijms25179715

PubMed Abstract | Crossref Full Text | Google Scholar

74. Nishida A, Inoue R, Inatomi O, Bamba S, Naito Y, and Andoh A. Gut microbiota in the pathogenesis of inflammatory bowel disease. Clin J Gastroenterol. (2018) 11:1–10. doi: 10.1007/s12328-017-0813-5

PubMed Abstract | Crossref Full Text | Google Scholar

75. Abrams GD, Bauer H, and Sprinz H. Influence of the normal flora on mucosal morphology and cellular renewal in the ileum. A comparison of germ-free and conventional mice. Lab Invest. (1963) 12:355–64.

PubMed Abstract | Google Scholar

76. Skowron KB, Shogan BD, Rubin DT, and Hyman NH. The new frontier, the intestinal microbiome and surgery. J Gastrointest Surg. (2018) 22:1277–85. doi: 10.1007/s11605-018-3744-7

PubMed Abstract | Crossref Full Text | Google Scholar

77. Agnes A, Puccioni C, D’Ugo D, Gasbarrini A, Biondi A, and Persiani R. The gut microbiota and colorectal surgery outcomes: facts or hype? A narrative review. BMC Surg. (2021) 21:83. doi: 10.1186/s12893-021-01087-5

PubMed Abstract | Crossref Full Text | Google Scholar

78. Guyton K and Alverdy JC. The gut microbiota and gastrointestinal surgery. Nat Rev Gastroenterol Hepatol. (2017) 14:43–54. doi: 10.1038/nrgastro.2016.139

PubMed Abstract | Crossref Full Text | Google Scholar

79. Koliarakis I, Athanasakis E, Sgantzos M, Mariolis-Sapsakos T, Xynos E, Chrysos E, et al. Intestinal microbiota in colorectal cancer surgery. Cancers. (2020) 12:3011. doi: 10.3390/cancers12103011

PubMed Abstract | Crossref Full Text | Google Scholar

80. Sciuto A, Merola G, De Palma GD, Sodo M, Pirozzi F, Bracale UM, et al. Predictive factors for anastomotic leakage after laparoscopic colorectal surgery. World J Gastroenterol. (2018) 24:2247–60. doi: 10.3748/wjg.v24.i21.2247

PubMed Abstract | Crossref Full Text | Google Scholar

81. Santos J and Barbara G. Editorial, human intestinal permeability, mucosal inflammation and diet. Front Nutr. (2022) 9. doi: 10.3389/fnut.2022.894869

PubMed Abstract | Crossref Full Text | Google Scholar

82. Hajjar R, Santos MM, Dagbert F, and Richard CS. Current evidence on the relation between gut microbiota and intestinal anastomotic leak in colorectal surgery. Am J Surg. (2019) 218:1000–7. doi: 10.1016/j.amjsurg.2019.07.001

PubMed Abstract | Crossref Full Text | Google Scholar

83. Jørgensen AB, Jonsson I, Friis-Hansen L, and Brandstrup B. Collagenase-producing bacteria are common in anastomotic leakage after colorectal surgery: a systematic review. Int J Colorectal Dis. (2023) 38:275. doi: 10.1007/s00384-023-04562-y

PubMed Abstract | Crossref Full Text | Google Scholar

84. Chaim FHM, Negreiros LMV, Steigleder KM, Siqueira NSN, Genaro LM, Oliveira PSP, et al. Aspects towards the anastomotic healing in crohn’s disease, clinical approach and current gaps in research. Front Surg. (2022) 9. doi: 10.3389/fsurg.2022.882625

PubMed Abstract | Crossref Full Text | Google Scholar

85. Lauka L, Reitano E, Carra MC, Gaiani F, Gavriilidis P, Brunetti F, et al. Role of the intestinal microbiome in colorectal cancer surgery outcomes. World J Surg Oncol. (2019) 17:204. doi: 10.1186/s12957-019-1754-x

PubMed Abstract | Crossref Full Text | Google Scholar

86. Hajjar R, Richard C, and Santos MM. The gut barrier as a gatekeeper in colorectal cancer treatment. Oncotarget. (2024) 15:562–72. doi: 10.18632/oncotarget.28634

PubMed Abstract | Crossref Full Text | Google Scholar

87. Martinez-Montoro JI, Martinez-Sanchez MA, Balaguer-Roman A, Gil-Martinez J, Mesa-Lopez MJ, Egea-Valenzuela J, et al. Dietary modulation of gut microbiota in patients with colorectal cancer undergoing surgery: A review. Int J Surg. (2022) 104:106751. doi: 10.1016/j.ijsu.2022.106751

PubMed Abstract | Crossref Full Text | Google Scholar

88. Boatman S, Kohn J, and Jahansouz C. The influence of the microbiome on anastomotic leak. Clin Colon Rectal Surg. (2023) 36:127–32. doi: 10.1055/s-0043-1760718

PubMed Abstract | Crossref Full Text | Google Scholar

89. Zhao Y, Li B, Sun Y, Liu Q, Cao Q, Li T, et al. Risk factors and preventive measures for anastomotic leak in colorectal cancer. Technol Cancer Res Treat. (2022) 21:15330338221118983. doi: 10.1177/15330338221118983

PubMed Abstract | Crossref Full Text | Google Scholar

90. Liu Z, Qin H, Yang Z, Xia Y, Liu W, Yang J, et al. Randomised clinical trial, the effects of perioperative probiotic treatment on barrier function and post-operative infectious complications in colorectal cancer surgery - a double-blind study. Alimentary Pharmacol Ther. (2011) 33:50–63. doi: 10.1111/j.1365-2036.2010.04492.x

PubMed Abstract | Crossref Full Text | Google Scholar

91. Darbandi A, Mirshekar M, Shariati A, Moghadam MT, Lohrasbi V, Asadolahi P, et al. The effects of probiotics on reducing the colorectal cancer surgery complications, A periodic review during 2007–2017. Clin Nutr. (2020) 39:2358–67. doi: 10.1016/j.clnu.2019.11.008

PubMed Abstract | Crossref Full Text | Google Scholar

92. Camila Brandao Polakowski MK, Preti VB, Schieferdecker MEM, and Campos ACL. Impact of the preoperative use of synbiotics in colorectal cancer patients: a prospective, randomized, double-blind, placebo-controlled study. Nutrition. (2019) 58:40–46. doi: 10.1016/j.nut.2018.06.004

PubMed Abstract | Crossref Full Text | Google Scholar

93. Liu Y, He W, Yang J, He Y, Wang Z, and Li K. The effects of preoperative intestinal dysbacteriosis on postoperative recovery in colorectal cancer surgery, a prospective cohort study. BMC Gastroenterol. (2021) 21:446. doi: 10.1186/s12876-021-02035-6

PubMed Abstract | Crossref Full Text | Google Scholar

94. Liu Y, Li B, and Wei Y. New understanding of gut microbiota and colorectal anastomosis leak, A collaborative review of the current concepts. Front Cell Infect Microbiol. (2022) 12:1022603. doi: 10.3389/fcimb.2022.1022603

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: anastomotic leak (AL), colorrectal surgery, inflammasome, inflammation, surgery, surgical complications, intestinal permeability, dysbiosis

Citation: Buitrago-Ruiz M, Arias-Sánchez C, Asensio-López MM, Martínez-García JJ, Soria-Aledo V, Valero-Navarro G and Cuevas S (2026) Gut microbiota and postoperative complications in colorectal surgery and its potential association with intestinal permeability and NLRP6 inflammasome. Front. Immunol. 16:1701650. doi: 10.3389/fimmu.2025.1701650

Received: 08 September 2025; Accepted: 23 December 2025; Revised: 15 December 2025;
Published: 26 January 2026.

Edited by:

S.-Y. Seong, Seoul National University, Republic of Korea

Reviewed by:

Xiao Wang, University of Illinois Chicago, United States
Sarvin Es Haghi, Shahid Beheshti University of Medical Sciences, Iran

Copyright © 2026 Buitrago-Ruiz, Arias-Sánchez, Asensio-López, Martínez-García, Soria-Aledo, Valero-Navarro and Cuevas. 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: Manuel Buitrago-Ruiz, bWFudWVsYnRyZ0BnbWFpbC5jb20=; Graciela Valero-Navarro, dmFsZXJvZ3JhY2llbGFAZ21haWwuY29t; Santiago Cuevas, c2FudGljdWV2YXNAZ21haWwuY29t

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