A complete guide to human microbiomes: Body niches, transmission, development, dysbiosis, and restoration

Introduction

Metagenomics and its applications have revolutionized microbiology, medicine, and our contemporary lifestyles. The capacity to sequence microbes from all sample types and the multiple advantageous public computational pipelines and tools, have made microbiome studies accessible to most scientific fields. The study of communities of microbiological organisms directly in their natural settings is a branch of genomics that sprang out of the Human Genome Project, and is continuously revealing fascinating frontiers of knowledge to better understand health and disease (Turnbaugh et al., 2007).

All body niches are colonized by a microbiome which is composed by the components of the tree of life from all domains, Eukarya, Bacteria, Archaea, and viruses. They all make up the human body, and this collective domain results in different phenotypes. Animals are not simply individuals by the physiology criterion, but given the variety of symbionts in direct contact with the hosts, there are additional and unique metabolic pathways providing other important physiological functions.

For many, the host and its associated microbiome is considered a human organ (Baquero and Nombela, 2012) or a biological individual altogether (Gilbert et al., 2012), to others it constitutes an ecosystem (Foster et al., 2017), or even a unit of selection, upgrading and expanding fundamentally unshaken theories such as Darwin’s evolution principles—with the inclusion of the Hologenome Concept (Zilber-Rosenberg and Rosenberg, 2008). This term, still raises discussion on the individuality of the holobiont (multicellular host and its associated microbiome) (Bordenstein and Theis, 2015; Suárez and Stencel, 2020). Eukaryotes, in their complexity, are not independent individuals, but rather natural units with associated symbionts and their metagenomes.

The microbiota, like other organs, is inherited through the dynamics of birth, with different dependent outcomes. It evolves with the host throughout his life, and we now know that lifestyle choices have great impact to its homeostasis. This new revelation has changed how we view Biology and has greatly broadened our knowledge of biodiversity and the multi-kingdom interactions responsible for health and disease. Thus, the goal of this narrative review is to summarize what is known of the human microbiome, including recent and detailed literature on all body niches, with a special emphasis in studies of the gastrointestinal tract, microbial transmission, and ongoing restoration efforts that could provide relief to many diseases.

Evolution, transmission, and development of human microbiomes

Humans depend on their microbes for health. As we live in a microbial world, human life must be framed in the context of microbial evolution (McFall-Ngai et al., 2013). The microbiome indeed performs a critical role in maintaining human health (Godoy-Vitorino, 2019). The holobiont concept -a term initially coined by Margulis—theorized an interaction between host cells and their associated microbial communities, and such unit undergoes natural selection, which drives the features of these host-symbiont associations (Margulis, 1990; Margulis and Fester, 1991) and even preceding work from the 19th century by German botanist Karl Brandt, already theorized that self-formed chlorophyll was supposedly absent in animals and likely due to “invading plants” which kept “physiological independence” (Brandt, 1881), as described and discussed recently by others (Suárez, 2018; Baedke et al., 2020). The Developmental Origin of Health and Disease (DOHaD) theory is based on the concept that the origins of the lifestyle-related disease occur pre-birth, at the embryonic, fetal, and neonatal stages due to the interrelation between genes environment and lifestyle (nutrition, stress, or chemical cues) (Mandy and Nyirenda, 2018). Indeed, the first contact humans have with microbes is at birth, and since these early beginnings, microbes sustain life and development (Funkhouser and Bordenstein, 2013; Chiu and Gilbert, 2015; Dominguez-Bello et al., 2019). Bacterial transfer from mother to infant occurs when babies go through the vaginal canal, or via skin contact by C-section at birth, and by skin-to-skin contact during breastfeeding (Dominguez-Bello et al., 2010). Only a group of the microbes to which the newborn is initially exposed at birth will permanently colonize various body niches (Figure 1). Vaginal Lactobacilli have long been the keystone species of genital communities in reproductive-age women and are passed down to newborns born vaginally, contributing to milk digestion. In turn, babies who are delivered by Cesarean section (C-section) are often colonized by bacteria that are more commonly found on the skin, including Staphylococcus, Propionibacterium or Corynebacterium, often coming from the hands of medical workers (Dominguez-Bello and Godoy-Vitorino, 2013; Dominguez-Bello et al., 2019). Thus, skin bacteria also play a crucial role during vertical microbial transmission in the development and maturation of the future microbiome of babies born via C-section. The mode of transmission is likely to be part of a response to protect and promote fetus health before exposure to other environmental conditions and microbes. Practices such as C-section, perinatal antibiotics, and formula feeding have been linked to increased risks of metabolic and immune diseases related with dysbiosis (Mueller et al., 2015). The medicalization of birth in many developed countries has transformed the quality of contact between mothers and newborns, altering this initial microbiome transmission (Mueller et al., 2015). More than 30% of all live births in the United States (US) were performed by C-section, 26.9% in Europe, ∼44.3% in Latin America (55% in Brazil and 58% in the Dominican Republic, one of the highest rates in the world) and 21.1% globally (Zakerihamidi et al., 2015). C-section was first introduced to reduce the risks for the mother and the fetus. Society has accepted that this medical procedure is painless, safer, and sometimes healthier than vaginal delivery (Delport, 2019). Increasing evidence suggests that avoiding exposure to the maternal flora during natural labor or vaginal birth, adversely affects gut function and immune system development, increasing the risks of obesity, asthma, allergies, and autoimmune diseases (Black et al., 2016). There are also changes in the microbiome of newborns when delivered in a hospital or home environment. Those born in the hospital resemble some of the reported effects of other stressors such as C-section, antibiotics, or formula feeding, with a reduction of Bacteroides, Bifidobacterium, and Ruminococcus and an increase in Enterobacteria and Clostridium species (Black et al., 2016). Hospitalizations related to perinatal interventions and mode of delivery also affect microbial transmission—causing effects that persist in the intestinal microbiota of infants 1 month after birth (Combellick et al., 2018). Medical environments are spaces both designed and managed to minimize negative impacts on patient health. However, studies have reported bacterial presence in operating rooms (OR) in which fecal-like bacteria accumulate mostly on the floor but also on the walls might negatively impact the newborn (Derilus et al., 2020). Breast milk contains important developmental and immune-promoting factors such as oligosaccharides, immunoglobulins (IgA), and lactoferrin which protect the newborn passively and actively against excessive intestinal inflammation (Gregory et al., 2016). Bacteria acquired during lactation include lactic acid producers, who commonly digest lactose, and other organisms that utilize the milk glycans known as Human Milk Oligosaccharides (HMOs). These HMOs, which are indigestible for neonates, can shape the infant’s gut microbial composition, selecting for Bifidobacterium spp. and Lactobacillus spp. (Dominguez-Bello et al., 2019). Such changes to the microbiota provide colonization resistance against common opportunistic pathogens like Enterobacteria and Clostridia (Figure 1). On the contrary, children fed formula have an increased risk for obesity, higher diversity, and enrichment of Bacteroidaceae in 1 year of age. Although the microbiota in neonates is established at birth, it will shape throughout the next 3 years of life due to environmental factors such as diet, antibiotics, hygiene, and the built environment (Indiani et al., 2018). Antibiotics are known to decrease the overall diversity of the infant’s microbiota and aid in the selection of drug-resistant organisms (Reyman et al., 2022). Infants treated with antibiotics tend to have lower bacterial diversity as well as an increase of Enterobacteriaceae and Enterococcus (Reyman et al., 2022). The early use of this treatment has been associated with higher risks of allergic diseases (Zwittink et al., 2018), eczema (Kim et al., 2019a), and obesity (Schulfer and Blaser, 2015), and type 1 diabetes (Langdon et al., 2016). Another factor that heavily contributes to the neonatal overall microbial content is household animals (Kim et al., 2019a). Exposure to pets increases the abundance of Ruminococcus and Oscillospira species, which may protect against allergic disorders and obesity in children (Tun et al., 2017). Exposure to other modern lifestyle factors, including in-utero exposure to stresses such as hurricanes, or other extreme weather events, have been explored and shown to impact the microbiota of infants (REF: https://www.sciencedirect.com/science/article/pii/S2772829322000352).

FIGURE 1

FIGURE 1. Human microbiome development and transmission. Panel (A) Representation of humans’ first contact with microbes during birth and a comparison of how delivery mode (vaginal delivery and C-section) impacts infant microbiota. Panel (B) Human microbial transmission and development from pre-birth to adulthood. Microbes that colonize newborns will form a variety of niches in different body sites, adult diversity is attained at ∼3 years old. Elder people have a decrease in microbial diversity leading to dysbiosis that may be associated with neurodegenerative disorders. Panel (C) Practices of breastfeeding and/or formula feeding play an important role in shaping the intestinal microbiome. Formula feeding is associated with intestinal inflammation, with an increase in Enterobacteriaceae and Clostridium spp. and reduced levels of probiotic Bifidobacterium and Lactobacillus spp. acquired via lactation. Image created with BioRender.com.

Human body niches: A glance from the simple to more complex

The vaginal microbiome

The vagina is the microbial organ with the least diversity in the human body, with a dominance of Lactobacillus, a species that impedes the colonization of other bacteria that would otherwise cause infections. The lactic acid produced by the Lactobacilli provides a protective role by maintaining an acidic pH (<4.5); serving as a chemical barrier (Valenti et al., 2018). In addition, Lactobacillus spp. produce bacteriocins, H₂O_2, and reactive oxygen species (ROS), impeding the colonization and adherence of pathogens (Felten et al., 1999), organisms that would otherwise cause recurrent vulvovaginal infections (RVVI) associated with discomfort, odor, discharge, infertility, and, if pregnant, could even lead to miscarriages. The vaginal microbiota can be characterized in five Community State-Types (CST), representing different microbial groups (Zhou et al., 2007). CST-I has a predominant abundance of L. crispatus, CST-II has L. gasseri, CST-III has L. iners, and CST-V has L. jensenii. CST-IV, on the other hand, has a reduction of Lactobacillus spp. and a higher abundance of anaerobic bacteria such as Prevotella, Atopobium, Sneathia, and Gardnerella, which have been associated with bacterial vaginosis (Di Paola et al., 2017). CST profiles in women are known to vary by ethnicity. Caucasians tend to exhibit a CST-I dominated microbiota, while African-American and Hispanic women tend to present a CST-IV profile (Di Paola et al., 2017). Having a non-L. crispatus dominant community does not necessarily mean severe dysbiosis; studies have shown healthy Latinas who have a L. iners dominant community can be asymptomatic (Godoy-Vitorino et al., 2018; Vargas-Robles et al., 2020). Hormonal changes across the reproductive cycle in women can disrupt the microbial equilibrium. When there are high hormonal levels, the abundance of glycogen increases in the vagina, which is used by bacteria to promote an increase in diversity (Kaur et al., 2020). At the same time, glycogen is used by Lactobacillus spp. to produce lactic acid, reducing and stabilizing the diversity present. Puberty, menstruation, pregnancy, and menopause compose the main stages of the female whole reproductive cycle. The cervicovaginal microbiota becomes even more dominated by Lactobacillus during pregnancy, resulting in less diversified profiles than in non-pregnant women (Serrano et al., 2019). However, as estrogen and progesterone levels fall after menopause, there is a drop in Lactobacillus spp. and an increase in vaginal pH (Auriemma et al., 2021).

The skin microbiota

The skin is an essential element of defense against pathogens. Its physiological and anatomical properties change throughout the body, shaping microbial composition. Compared to the most diverse body sites, the skin microbiome has fewer taxa due to its textural characteristics such as oil, moisture, sebaceous glands, and acidic pH (Chaudhari et al., 2020). External factors implicated in changes in the skin microbiota include the use of antibiotics (Chien et al., 2019), cutaneous burns (Sanjar et al., 2020), skincare, and hygiene products (Bouslimani et al., 2019), and lifestyle habits (Blaser et al., 2013). The most dominant genus in the skin is Staphylococcus, Propionibacterium, Corynebacterium, and Streptococcus (Bay et al., 2020). Furthermore, oilier sites have significant dominance of Propionibacterium species (lipophilic), whereas in humid niches, Staphylococcus and Corynebacterium species thrive (Bay et al., 2020). Fungi are also a major component of the microbiome. For example, Malassezia is a major lipophilic yeast distributed throughout the body; however, other fungi are site-specific such as Aspergillus spp., Cryptococcus spp., and Rhodotorula spp. who colonizes regions of the feet (Gupta and Kohli, 2004; Jo et al., 2017). In addition, shifts in fungal composition can occur with age, as children have a marked profile of Ascomycetes and lower levels of Malassezia when compared to adults. The age-associated differences in the skin microbiome is so marked that it has been used to predict an individual’s age with a range of approximately 4 years. Dysbiosis of the skin microbiome has been related to skin diseases/conditions. For instance, patients with psoriasis have a higher abundance of Proteobacteria and S. aureus and a decrease in Acinetobacter when compared to healthy individuals (Chang et al., 2018). Similarly, the skin of patients with atopic dermatitis is characterized by a higher prevalence of S. aureus (Paller et al., 2019). S. aureus and S. epidermidis distinguished skin lesions of patients with systemic lupus erythematosus (SLE), whereas healthy individuals had a higher abundance of Cutibacterium (Huang et al., 2020). On the other hand, patients with alopecia have an increase in P. acnes and a decrease in common members of the skin microbiome such as Propionibacterium, Corynebacterium, and Staphylococcus (Ho et al., 2019) (Figure 2).

FIGURE 2

FIGURE 2. Microbiome in human epithelial and mucosal sites other than the gut. Panel (A) Representation of biofilm formation in dental plaque, periodontal disease progression and risk factors associated with periodontitis and oral cancer at each progression stage. Disease development is associated oral dysbiosis. Disease stages are identified by colors; green represents healthy gums, yellow represents gingivitis, orange represents periodontitis and red represents oral squamous cell carcinoma.Panel (B) Characteristic microbiome of the skin, ear, eyes and the nasopharyngeal tract. Homeostatic microbiome are identified in green, and microorganisms that increase in abundance during dysbiosis are identified in red. Alterations of microbial populations can lead to the development of different health conditions which could be irreversible. Image created with BioRender.com.

The eye microbiota

The eye has three major microbial niches: the eyelid skin, meibum, and conjunctiva, which differ in diversity and composition. Similar to the skin microbiome, the microbial composition of the eyelids is dominated by two skin taxa Staphylococcus and Propionibacterium (Suzuki et al., 2020). The meibum is characterized by a dominance of Propionibacterium and Pseudomonas, while the conjunctiva is defined exclusively by Propionibacterium (Suzuki et al., 2020). The dysbiosis in the conjunctiva microbiome has been associated with different health conditions, such as keratoconjunctivitis, mucosa-associated lymphoid tissue (MALT) lymphoma, and high glucose levels on the ocular surface due to diabetes (Asao et al., 2019). Notably, the microbiota of conjunctiva in MALT lymphoma patients is dominated by Delftia (Asao et al., 2019). When evaluating the role of the ocular microbiota in relation to diabetes, mice studies reveal a reduced diversity in Type 2 diabetes (Li et al., 2019; Suzuki et al., 2020), while an increase in Bacteroides and a decrease in Proteobacteria and Acinetobacter are observed in Type 2 diabetes (T2D) (Li et al., 2019).

The ear microbiota

The microbiota of the ear canal is similar to that found on the skin. Therefore, Corynebacterium, Staphylococcus, and Propionibacterium genera are prevalent taxa (Jervis-Bardy et al., 2019). There is still a debate over whether microbes from the nasopharynx colonize the middle ear or if this is a sterile site. Although previous findings suggested no microbial colonization, a recent Illumina microbiome profiling study demonstrated that the middle ear is actually colonized by Proteobacteria, Actinobacteria, and Firmicutes (Jervis-Bardy et al., 2019). Otitis media infections can be characterized as Acute Otitis Media (AOM) or Chronic Otitis Media with Effusion (COME). Dysbiotic changes are observed in adults and children who suffer from Otitis Media inflammation (Lappan et al., 2018). The pathogenesis and development of AOM are dependent on the microbiome of the nasopharynx, with Haemophilus, Alloiococcus, Staphylococcus, Turicella, Moraxella, and Streptococcus being taxa normally associated with this condition (Lappan et al., 2018). In COME patients, it’s been documented that a higher abundance of Alloiococcus, Haemophilus, Moraxella, Turicella, Stenotrophomonas, Streptococcus, and Staphylococcus (Kolbe et al., 2019). It’s important to mention that Alloiococcus and Turicella are not found in the healthy middle ear. In addition, COME is associated with respiratory illnesses such as asthma and bronchiolitis while reflecting a lower richness and evenness in comparison with those patients that do not present lower respiratory diseases (Kolbe et al., 2019).

The microbiota of the nasopharyngeal tract

The nasopharynx is a component of the upper respiratory tract, specifically located at the upper part of the throat behind the nose. The microbiome of the nasal cavity mucosa is colonized primarily by Corynebacteriaceae and Staphylococcaceae families, while Peptoniphilaceae and Carnobacteriacea are in lower abundance (Kang and Kang, 2021). This niche also has a high abundance of Staphylococcus, Corynebacterium, Alloiococcus, Haemophilus, Streptococcus, Granulicatella, and Moraxella (Teo et al., 2015). Diseases such as asthma, influenza A virus (IAV), bronchiolitis, and rhinosinusitis acute respiratory illness (ARI) are all associated with changes in the microbiota. Children with IAV infection have increased microbial diversity, specifically of Streptococcus—associated with the production of type I interferons during IAV infection, with a concomitant decrease in Corynebacterium, Moraxella and Dolosigranulum (Wen et al., 2018). Infants with bronchiolitis have an increasing dominance of Haemophilus, Moraxella, and Streptococcus when compared with healthy individuals (Stewart et al., 2017). Chronic rhinosinusitis (CRS) is also a dysbiosis-related disease, with higher alpha diversity in CRS compared to healthy individuals and increasing levels of Proteobacteria and Escherichia. Other genera, including Roseateles, Pseudomonas, and Escherichia, were positively correlated with CRS symptom severity (Copeland et al., 2018).

The oral microbiota

The oral microbiome is one of the most diverse body niches, only preceded by the colon. The oral cavity is highly diverse due to its many structural and physiological niches harboring a plethora of different microbial communities. These niches include oral mucosa, tongue, saliva, soft tissue, hard tissue, and the surfaces of the teeth. Each surface has distinct communities; hence it provides the conditions and nutrients required for these distinctive microbes. For example, the flora of the tongue differs from that in plaque or the hard tissues of the oral cavity due to its specific microenvironment (Chen et al., 2018). Bacterial and fungal communities play an essential role in the development of many oral diseases such as dental cavities, gingivitis, periodontitis and, subsequently, tooth loss. Bacterial composition consists mainly of Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, Spirochaetes, and Fusobacteria (Dewhirst et al., 2010). Among the most dominant bacterial taxa in the oral cavity are Streptococcus, Gemella, Abiotrophia, Granulicatella, Rothia, Neisseria, and Prevotella (Dewhirst et al., 2010). The fungi flora is often composed of Candida, being the most abundant, Cladosporium, Aureobasidium, Saccharomyces, Aspergillus, Fusarium, and Cryptococcus (Mark Welch et al., 2016). Few studies have analyzed archaeal diversity in the oral cavity; however, methanogenic archaea, like Methanobrevibacter oralis, increase in abundance as periodontitis progresses. The oral cavity is sterile before birth (Sulyanto et al., 2019). However, soon after birth, the oral microbiome changes and evolves through adulthood. After 24 h, the newborn oral cavity will most likely be colonized by gram-positive cocci like Streptococcus and Staphylococcus (Hegde and Munshi, 1998). Streptococcus salivarius is an initial colonizer because it is capable of adhering to epithelial cells. From birth to 3 months old, infants have a simple microbial community composed of six main species: Streptococcus mitis, Rothia mucilaginosa, Veillonella parvula, S. salivarius, Gemella haemolysans, and Veillonella HB016 (Sulyanto et al., 2019). Between 3 and 6 months old, the infant shows a distinctive microbiota due to solid food ingestion, hygiene, built environment, and contact with other humans and domestic animals; characterized by an increase of Prevotella, Granulicatella, and Neisseria (Sulyanto et al., 2019). The acquisition of these species has been assigned to the emergence of teeth, forming microenvironments, niches, and new surfaces for bacterial colonization and adherence (Kennedy et al., 2019). Late colonizers include Prevotella, Porphyromonas, Leptotrichia, and Actinomyces, which colonize infants around 1 year of age (Kennedy et al., 2019). Children with primary dentition have a higher prevalence of Pseudomonas, Acinetobacter, Moraxella, and Enhydrobacter (Crielaard et al., 2011). As dentition becomes permanent, populations of Veillonella and Prevotella increase, while Granulicatella decreases (Crielaard et al., 2011). The oral microbiome continues to develop from puberty to adulthood, and lifestyle habits have an impact on microbial diversity. Mucosal surfaces and saliva are primarily composed of aerobic bacteria. However, fissures and supragingival surfaces have a higher abundance of facultative anaerobes, in contrast with the subgingival plaque, which favors strict anaerobes (Arweiler and Netuschil, 2016). During puberty, many hormonal and nutritional changes take place. These changes often lead to an increase of gram-negative anaerobes and spirochetes, which may be associated with a higher incidence and severity of gingivitis. Gingivitis and periodontitis are common bacterial infections that are caused by host immune responses against pathogenic bacteria, leading to inflammation and dysbiosis. While gingivitis is a mild reversible inflammation, if left untreated, it could develop into periodontitis, an irreversible disease that causes chronic inflammation of the gums and subsequent bone loss (Huang et al., 2011). Research conducted on periodontal health and changes after therapy found that plaque samples have more abundance of Fusobacteria, while saliva samples have a higher prevalence of Firmicutes and Proteobacteria, even though the saliva microbiome is likely affected by conditions other than the periodontal disease (Huang et al., 2011). Additionally, Bacteroidetes and Spirochaetes were higher in healthy individuals, while Porphyromonas, Tannerella, Prevotella, and Filifactor were more abundant in participants with periodontitis (Huang et al., 2011). Particularly, periodontitis has been associated with a higher risk of oral cancer. Nonetheless, the role of the oral microbiota in the development of oral cancer is not yet well established; however, certain species have been observed at tumor sites (Guerrero-Preston et al., 2016) (Figure 2).

The microbiota of the gastrointestinal tract: Stomach, intestines, and cecum

The gastrointestinal microbiome is the largest and most diverse reservoir of all the human body niches. From the mouth to the anal cavity, each digestive organ section provides a specific environment that allows the growth and colonization of organisms. The most common phyla across the gut tube are the Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria. In the esophagus, the most prevalent bacterial taxa are Streptococcus, Veillonella, and Prevotella (Pei et al., 2004), a composition that resembles that of the oral microbiome (Pei et al., 2004). The microbial communities of the stomach are dominated by Proteobacteria and Firmicutes (Maldonado-Contreras et al., 2011). Many studies have also stipulated that Helicobacter pylori is part of the normal flora found in the stomach, which was lost through modern lifestyles (Pei et al., 2004). Other studies found that positive H. pylori status was associated with an increased relative abundance of non-Helicobacter bacteria from the Proteobacteria, Spirochaetes, and Acidobacteria phyla, alongside a decreased abundance of Actinobacteria, Bacteroidetes, and Firmicutes (Maldonado-Contreras et al., 2011). Despite the fact that H. pylori is a causative agent of gastritis and is associated with gastric cancer, other studies demonstrated how H. pylori infections could lower the risk of celiac disease (Lebwohl et al., 2013), asthma (Arnold et al., 2011) and esophageal adenocarcinoma (Xie et al., 2013). Gastroesophageal reflux disease (GERD), Barrett’s esophagus, and esophageal carcinoma are all a result of microbial dysbiosis (Pei et al., 2004). Persistent GERD that progresses to Barrett’s esophagus, predisposing to an esophageal carcinoma, has been related to an increase of Veillonella, Fusobacterium, and Prevotella, taxa that are absent in healthy individuals (Liu et al., 2013). The small intestine is characterized by an environment with high concentrations of oxygen and antimicrobials along with a short transit time that allows the rapid growth of facultative anaerobes (Rinninella et al., 2019). It absorbs 90% of the host’s energy from the diet and is divided into three parts: duodenum, jejunum, and ileum. The most abundant phyla in the duodenum are Firmicutes, Proteobacteria, and Actinobacteria, taxa that contribute to most of the nutrient digestion, including protein, lipids, and simple sugars (Angelakis et al., 2015). Particularly, the most dominant genera found are Prevotella, Stenotrophomonas, Streptococcus, Lactococcus, Bacillus, Solibacillus, Pseudomonas, Arthrobacter, and Lysinibacillus (Gong et al., 2019).

In the jejunum, Firmicutes and Proteobacteria are the most predominant, while E. coli, Enterococci, and Lactobacillus were also identified as predominant species of the duodenum and jejunum (Sundin et al., 2017). The ileal microbiota is dominated by Streptococcus, E. coli, Clostridium (Zoetendal et al., 2012); however, with significant inflammation, members of Fusobacteria and Proteobacteria increase significantly with a reduction of Bacteroidetes and Spirochaetes (Fan et al., 2020). The colon, which is the most diverse niche, has an anaerobic environment dominated by Bacteroidetes, especially in the sigmoid colon (James et al., 2020). The most dominant taxa is Bacteroides, while Enterococcus is more prevalent in the proximal colon, contrary to the distal colon, which has higher abundance of Coprobacilus etc by Coprobacillus and Escherichia/Shigella (James et al., 2020). Key biomarkers of health across the human colon have been identified, including Lactobacillus, Bifidobacterium and F. prausnitzii (Khan et al., 2014). Other non-bacterial components of the colon microbiome, which are also important residents, include bacteriophages, fungi such as Ascomycota and Basidiomycota, and archaea such as Methanobrevibacter smithii (Hoffmann et al., 2013).

The cecum and appendix sections of the large intestine have a similar composition to those previously described, with a slight reduction in Bacteroides (James et al., 2020). The appendix has been characterized by high diversity, with the dominance of Firmicutes, Proteobacteria, Actinobacteria, Bacteroidetes, and Fusobacteria. At the family level, Lachnospiraceae, Enterobacteriaceae, Bacteroidaceae, Fusobacteriaceae, and Bifidobacteriaceae, specifically the genus Bifidobacterium were the predominant groups (Guinane et al., 2013). During appendicitis, other non-intestinal genus such as Fusobacterium Gemella, or Parvimonas have been detected (Guinane et al., 2013). Fecal healthy biomarkers such as Bacteroides, Eubacterium rectale, F. prausnitzii, and Akkermansia muciniphila are inversely related with appendicitis (Swidsinski et al., 2011). Despite being considered an organ that has lost its function throughout evolution, the appendix has great biological redundancy ensuring gut repopulation in dysbiotic situations after pathogen colonization, diarrheal diseases, or antibiotic treatments (Guinane et al., 2013) (Table 1).

TABLE 1

TABLE 1. Summary of the main bacterial taxa at human body sites.

Gut microbiota and its implication in obesity and diabetes

Obesity is not just a public health problem for adults, it is estimated that 40 million children worldwide are obese (Chen et al., 2020). This can lead to the future development of T2D, cardiovascular diseases, and some types of cancer. A duodenal microbiota dysbiosis of obese individuals is characterized by an increase in Proteobacteria and a decrease in Firmicutes (i.e., Lachnospiraceae family). In particular, Pseudomonadales increase in obese people compared to lean individuals (Nardelli et al., 2020). Within the roles of the gut microbiota is the maintenance of the energy homeostasis through the fermentation of short-chain fatty acids (SCFAs). Thus, a decrease in Firmicutes, which are SCFAs producers, has been related to reduced protection in the intestinal barrier (Schnorr et al., 2014). A Bacteroidetes to Firmicutes ratio has been used as a barometer for obesity. A meta-analysis of the gut microbiota of diet-induced obese rodents revealed an increase in Firmicutes and Actinobacteria, alongside a reduction of Bacteroidetes in obese compared to lean rodents; with no significant differences in alpha-diversity (Jiao et al., 2018). At the family level, the obese models showed an increase in Ruminococcaceae and Christensenellaceae, whereas, at the genus level, Ruminococcus, Dorea, and Oscillospira were significantly increased (Jiao et al., 2018). An increase in Lactococcus was associated with higher inflammation in obese individuals. Furthermore, obese children have a greater abundance of Campylobacter, Actinobacillus, Aggregatibacter, Streptococcus, and Rothia (Chen et al., 2020). This microbial dysbiosis can have serious consequences such as an abnormal absorption of polysaccharides and proteins as well as disrupted pathways such as cellular processes, genetic information processing, and metabolic disturbance (Chen et al., 2020). In addition, obesity-associated dysbiosis can lead to the poor fermentation process of polysaccharides and bile acid dihydroxylation (Jiao et al., 2018).

These metabolic disturbances can have far-reaching consequences, including the development of T2D (Gaike et al., 2020). A reduction of Akkermansia and Blautia was found in diabetic individuals. These also have lower levels of butyrate-producing bacteria such as Roseburia intestinalis and F. prausnitzii, alongside elevated amounts of Lactobacillus gasseri and Streptococcus mutans (Pitocco et al., 2020). Diabetes and obesity have been implicated with insulin resistance because of the inflammation related to the lipopolysaccharide (LPS) metabolites secreted by bacteria. In particular, LPS secreted by Firmicutes is increased in obese and diabetic individuals (Saad et al., 2016). These LPS are detected by Toll-like receptor four (TLR-4), which activates a signaling pathway that leads to the secretion of inflammatory cytokines such as IL-6 and Interferon-alpha (Saad et al., 2016). In addition, serine kinases are also activated, which act as substrates for insulin receptors, thus, promoting insulin resistance (Saad et al., 2016). Akkermansia muciniphila, a very dominant gut bacteria, has proved to be inversely correlated with body weight, adiposity, blood glucose, and intestinal permeability. In fact, the administration of A. muciniphila to mice on a high-fat diet resulted in an increase in the mucus layer as well as the restoration of tight junction proteins, antimicrobial peptides, and anti-inflammatory bioactive lipids; and was linked to lower adiposity and low insulin resistance (Lecerf and Cani, 2022). A summary of body niche bacteria, gut bacteria between lean and obese individuals, and the details of the gut immune trafficking are found in Figure 3.

FIGURE 3

FIGURE 3. Complexity of the human gut microbiota. Panel (A) Representation of the most characteristic and predominant organisms found in each gastrointestinal site. Panel (B) Representation of the differences between individuals with a healthy lifestyle compared to obese individuals. Normal/lean microbiota are dominated by Bacteroidetes, Firmicutes, Proteobacteria, and Actinobacteria (1B). Obesity, diabetes, and gut inflammation are characterized by an increase in Firmicutes and Lipopolysaccharides (LPS), and a reduction in Bacteroidetes and short-chain fatty acids (2B). The production of LPS is recognized by Toll-Like receptor four which produces inflammatory interleukins (IL-6) and phosphorylation of Insulin Receptor-1 which is associated with insulin resistance (3B). Panel (C) Represents how bacterial antigens enter the Peyer’s patches through M cells and are captured by dendritic cells (DCs). Lymphocytes interact with antigen-loaded DCs and they migrate to the lymph nodes causing expansion, differentiation and proliferation. In addition, antigens can be transported to the spleen by circulation. Antigens are processed and presented to T cells, initiating an immune response. Finally, effector T cells return to the gut lamina propria where they reside. Panel (D) shows how alterations in gut microbiota can cause stress and anxiety-like disorders. Image created with BioRender.com.

Role of the gut microbiota in metabolizing drugs and modulating immunotherapy against cancer

The gut microbiome is also involved in metabolizing drugs and is related to therapy efficiency. A study by Zimmermann et al. examined how 76 different gut microorganisms could have enzymes that metabolize and chemically modify 271 oral drugs (Zimmermann et al., 2019). These findings showed how some drugs cause more severe side effects in some individuals than others, mainly because of the interpersonal microbiome variations (Zimmermann et al., 2019). In another study on the inactivation of digoxin- a drug to treat heart failure and arrhythmias- researchers found that Eggerthella lenta reduced digoxin potentially by using it as an alternative electron acceptor, which leads to a decreased target affinity of the drug (Haiser et al., 2013). Similarly, anti-cancer drugs can be modified by the gut microbiota. Irinotecan, an anti-cancer drug used for a range of solid tumors (Wallace et al., 2010), is inactivated through the addition of glucuronic acid (GlcA). However, the bacterial protein β-glucuronidase (GUS) removes GlcA and reactivates irinotecan, which leads to epithelial damage and diarrhea (Wallace et al., 2010; Bhatt et al., 2020). Recent studies have targeted the GUS protein with inhibitors which effectively prevented intestinal toxicity (Wallace et al., 2010), overgrowth of Enterobacteriaceae, and maintained the antitumor effect of irinotecan (Bhatt et al., 2020). Immunotherapy has risen as a more sought treatment when dealing with cancer, mainly because of the complex interactions that occur between a patient’s immune system and the tumor. Particularly, immune checkpoint inhibitors targeting CTLA-4 and PD-1 have been developed; however, variable responses to these treatments have been associated with the gastrointestinal (GIT) microbiome. A recent study aimed at understanding the role of the gut microbiome in response to immune checkpoint inhibitors targeting PD-1 in patients with metastatic melanoma, showed that responder patients had a higher alpha diversity and relative abundance of Clostridiales, Ruminococcaceae, and Faecalibacterium when compared to non-responders (Gopalakrishnan et al., 2018). In addition, an oncolytic adenovirus efficacy against malignant glioma in mice, seems to be also modulated by gut bacteria, with an increase in Bifidobacteria and Lactobacilli associated with a better response to the therapy(REF: https://aacrjournals.org/cancerres/article/81/13_Supplement/927/669706).

An overview of the gut-brain axis

The gut-brain is a bidirectional link between the central nervous system (CNS) and the enteric nervous system (ENS), which communicates between four information carriers in the so-called gut connectome: 1) the vagal and spinal afferent neurons, 2) immune messages carried by cytokines, 3) endocrine messages carried by gut hormones and 4) microbial factors that reach the brain through the bloodstream (Holzer and Farzi, 2014; Boem and Amedei, 2019). The communication between these carriers is important for metabolic activities and for maintaining microbial homeostasis, as some gut hormones play an important role in the activation of afferent neurons and the vagus nerve (Ye and Liddle, 2017). In the GIT system, the microbiota controls the enteric neurons and motility through transmitters like SCFAs (Obata and Pachnis, 2016), 5-hydroxytryptamine (5-HT, serotonin) (Obata and Pachnis, 2016), γ-aminobutyric acid (GABA) (Pokusaeva et al., 2017), hormones such as cortisol (Valles-Colomer et al., 2019) and immune system modulators such as quinolinic acid (Valles-Colomer et al., 2019). Diseases like schizophrenia and autism have been associated with alterations in gut permeability and even though research has expanded in the last few years, there is still a lack of information on some groups, such as Hispanics (Vera-Urbina et al., 2022).

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that has been linked to changes in gut microbiota. The microbiota of healthy children was shown to be composed of Bacteroidetes, Firmicutes, and Actinobacteria with a higher abundance of Coprococcus and Bifidobacterium (Iglesias-Vázquez et al., 2020). Children who suffer from ASD have a greater composition of Bacteroides, Parabacteroides, and Clostridium, and a lower abundance of Coprococcus and Bifidobacterium (Iglesias-Vázquez et al., 2020). In addition, research shows that Clostridium releases toxins that can affect the brain. Alterations in SCFA production can affect homeostasis and increase inflammation. SCFAs are speculated to regulate neuro-Immuno endocrine functions as some are able to cross the blood-brain barrier and even maintain barrier integrity, thus helping control the passage of molecules and nutrients from the circulation to the brain (Silva et al., 2020). ASD patients have demonstrated a lower abundance of Bifidobacterium, which plays a role in producing Gamma-Aminobutyric Acid (GABA)—a natural brain neurotransmitter—and ultimately translating into cognitive deficits (Garcia-Gutierrez et al., 2020). Lower levels of GABA affect glutamate metabolism, which leads to anxiety and behavioral disorders. Abundance in taxa such as Escherichia, Bacillus or Saccharomyces can produce noradrenaline (Barrett et al., 2012), affecting its uptake by the hypothalamic-pituitary-adrenal (HPA) axis, which centralizes the stress response system (Scriven et al., 2018). Other studies have revealed alterations in tryptophan metabolism with a concomitant increase in serotonin, affecting different behaviors such as sleep, appetite, emotions, and social skills (Roth et al., 2021). Moreover, treatment with propionic acid (PPA) in an animal model of autism showed enhanced inflammation with an increase in pro-inflammatory cytokines like IL-6 and TNF-α (Aabed et al., 2019).

Other neuropsychiatric diseases like depressive disorders are associated with gut dysbiosis. It has been demonstrated that transplantation of gut microbiota from depressed mice to germ-free mice results in the display of depressive behavior (Knudsen et al., 2021). Anxiety and depression have also contributed to the global obesity burden, and authors suggest a role of gut-brain axis malfunction through disruptions in the crosstalk between the immune and the endocrine systems (Niccolai et al., 2019).

A decrease in Firmicutes accounts for a decline in SCFAs with depression, affecting the intestinal barrier (Huang et al., 2018). A study showed that women with depressive disorders had lower concentrations of SCFAs in contrast to non-depressive women (Capuco et al., 2020). The significant decrease in Firmicutes associated with depression includes a decline in Akkermansia, Ruminococcaceae, and Dorea; with a simultaneous increase in Actinobacteria, Prevotella, and Parabacteroides (McGaughey et al., 2019). Bifidobacteria levels were also reduced in depression, nonetheless the restoration of some species like Bifidobacterium longum and B. breve reduced depressive behaviors and increased the secretion of 5-hydroxytryptophan and butyrate (Tian et al., 2019).

Stress is a major disruptor of gut homeostasis. It can alter the intestinal barrier, increase gut permeability dysfunction and induce changes in the HPA-axis. Stress can affect gut microbial composition stimulating inflammatory mechanisms due to the release of pro-inflammatory cytokines. An element responsible for cytokine release is NF-kB, a transcription factor that, when inhibited by Bifidobacterium adolescentis results in a positive effect on stress-related diseases (Guo et al., 2019). Additionally, people with anxiety disorders have a decrease in Lactobacillus rhamnosus (Slykerman et al., 2017). Prenatal stress causes changes in the brain and behavior that can contribute to the development of gastrointestinal and psychiatric disorders. An animal study showed how supplementation of Lactobacilli could reverse anxiety behavior in stressed rats accompanied by normalized levels of adrenocorticotropic hormone (ACTH) and corticosterone (Karen et al., 2021).

Another major disorder of the gut-brain axis is Alzheimer’s Disease (A.D.), which is associated with memory deficit due to the accumulation of β-amyloid plaques (Aβ) (Nimgampalle and Kuna, 2017). Apolipoprotein E (ApoE) is the major risk for developing A.D. because it enhances the production of Aβ. The synthesis of ApoE is induced by neurons and is stimulated by stressors like age, oxidative stress, or trauma (Mahley et al., 2009). Microbial dysbiosis leads to an increase in microbial-associated chemicals, like LPS, which play a vital role in activating innate immunity and triggering neuroinflammatory pathways in the brain’s microglia. Acetate a SCFA promotes microglia development and can slow disease progression (Erny et al., 2021). Patients with A.D. present an increased proportion of pro-inflammatory taxa in the intestines, and altered gut microbiota enhances cerebral aggregation and deposition of Aβ plaques by immune, endocrine, and neural pathways (Dumitrescu et al., 2018). A decrease in butyrate-producing bacteria such as Butyrivibrio (B. hungatei and B. proteoclasticus), Clostridium sp. strain SY8519, Eubacterium (E. eligens, E. hallii, and E. rectale), F. prausnitzii and Roseburia hominis is also observed in A.D. patients (Haran et al., 2019).

Degradation of the gut microbiome: Urbanization and westernized lifestyles

The “Missing Microbe” hypothesis postulates that industrialization and current medical practices (e.g., vaccination) have diminished the prevalence of infectious diseases such as tuberculosis and malaria (Blaser and Falkow, 2009). However, access to healthcare and improved life expectancy has reduced gut microbial diversity. Urbanization is the main cause of major human microbiome shifts and microbial loss, as documented by studies evaluating rural and urban lifestyles (Lokmer et al., 2020) (Figure 4). The transition of diet and lifestyles has impacted the human gut microbiome, from changes established during the hunter-gatherer transition to agriculture to our modern time transition to urbanization (Jha et al., 2018). For instance, the BaAka hunter-gatherers of the Central African Republic have a high relative abundance of Anaerovibrio, Sutterella, and unclassified members of Clostridiaceae and Cyanobacteria (Schnorr et al., 2014). By contrast, their agriculturalist neighbors, the Bantu, have a higher abundance of Christenellaceae, Dialister, Faecalibacterium, Lactococcus, Leuconostoc, Mogibacteriaceae, and Ruminococcaceae (Schnorr et al., 2014). However, no differences in bacterial diversity were observed between these groups (Gomez et al., 2016).

FIGURE 4

FIGURE 4. Changes in the gut microbiome across urbanization and human lifestyles. Panel (A) shows the impact of modernization on the gut microbial diversity due to changes in diet, healthcare, sanitation, and lifestyle associated to modernity. Ancient microbiomes have higher microbial diversity and may even include taxa such as Treponema, that is no longer a component of the modern human microbiota. Panel (B) outlines the effects of urbanization on the gut microbiome. Increase in the consumption of refined sugars, antibiotics, chemical antimicrobials, exposure to air pollution and water chlorination, can have detrimental effects on the gut microbiota leading to the development of metabolic conditions, colorectal cancer, and antibiotic resistance. Image created with BioRender.com.

The Yanomami, indigenous peoples of the Amazonian jungle in Venezuela, have the most diverse gut-bacterial biota ever found in humans and a significant increase in diversity compared to people in the United States (Clemente et al., 2015). This semi-nomadic tribe lives in isolation in southern Venezuela, maintaining ancestral lifestyles (Clemente et al., 2015). The Yanomami fecal microbiota was characterized by high levels of Prevotella and low Bacteroides, contrary to what was observed in the United States. Indeed, the study by Dominguez-Bello highlights a significant difference in beta-diversity among indigenous peoples and samples collected from Americans (Clemente et al., 2015). The frequent meals and food seasonality in the Yanomami contrasts with the large, infrequent meals characteristic of Western diets. Paradoxically, the study found no significant differences in oral bacteria, possibly explained by chewing of tobacco in Amerindians from an early age (Clemente et al., 2015). Chinese urban populations have also shown a decrease in diversity at all phylogenetic levels, including a loss of Archaea and viruses compared to rural samples. Urbanization in these groups was also associated with a higher number of virulence and antibiotic resistance genes (Winglee et al., 2017). A study in Thailand comparing the gut microbiota of children living in urban Bangkok (whose diet consisted of high sugar, fats, and protein) with children living in rural Buriram (with a diet rich in vegetables and rice) found a loss of diversity and lower levels of SCFAs in urban samples. Additionally, rural samples had a higher prevalence of Ruminococcaceae and enriched gene profiles involved in plant metabolism (Kisuse et al., 2018). Similar to urban North Americans and Asians, the microbial communities of children living in urban Burkina Faso and Italy differed from those of children living in rural Burkina Faso (De Filippo et al., 2017). Rural children contained gut fiber-degrading bacteria (Prevotella, Treponema, and Succinivibrio), whereas children living in urban areas had bacteria that metabolize animal protein (De Filippo et al., 2017). One key aspect of living in an industrial/urban setting is the availability of drinkable water and the process of water purification (chlorination). Some studies have shown that chlorine concentrations in water can promote the incidence of colon cancer (Benmarhnia et al., 2018). Stool samples of mice subjected to chlorine water have seriously reduced C. perfringens and moderately reduced C. difficile, Enterobacteriaceae, and Staphylococcus (Sasada et al., 2015). The use of cosmetics and cleaning products in urbanized areas can also be linked to changes in gut microbiota. Triclosan (TCS) is a chemical well known to be present in toothpaste as it possesses antimicrobial properties. The gut microbiota of infants-mother dyads exposed to TCS has shown an enrichment in Proteobacteria, which serves as a marker for antibiotic resistance in the gut microbial community (Ribado et al., 2017). On the other hand, individuals using non-TCS containing toothpaste showed enrichment of B. fragilis which is linked to the production of anti-inflammatory polysaccharides. The use and exposure to TCS has also been correlated with an impact in the gut microbiome of infants through breast milk (Bever et al., 2018). The presence of TCS in the breast milk of mothers who use personal care products can affect the microbial diversity of infants at an early stage of gut microbial community development, thus paving the way for future health problems. Another disrupter of intestinal eubiosis can be air pollutants. Young adults living in Southern California exposed to high levels of ozone showed lower microbial diversity, along with higher levels of B. caecimuris (Fouladi et al., 2020). Furthermore, higher exposure to nitrogen dioxide correlated with higher Firmicutes and less diverse taxa (Fouladi et al., 2020). Interestingly, the exposure to traffic-related air pollution has been shown to alter the abundance of Bacteroidaceae and Corynebacteriaceae, which have been linked to obesity (Alderete et al., 2018). Modern food processing has led to the loss of microbial diversity compared to rural environments (Obregon-Tito et al., 2015). Non-thermal and thermal processed food can affect the gut microbiota of vertebrates, as seen in mice and catfish. Vertebrates with thermal processing food diets had less diversity and a different microbial composition according to the host (Zhang and Li, 2018). Dietary toxic xenobiotics such as nitrosamines, polycyclic hydrocarbons, and heterocyclic amines in processed foods are also associated with a change in the gut microbiota, increasing the risks of developing colorectal cancer (Zhang and Li, 2018). A murine model exposed to the environmental pollutant benzo(a)pyrene showed an increase in Bacteroidaceae, Paraprevotellaceae, and Porphyromonadaeae alongside inflammation of colonic mucosa, as well as a decrease in Lactobacillaceae and Verrucomicrobiaceae (Ribière et al., 2016). Preservatives, from salt to chemical components, have been used in urban countries for long-term food storage. Some of these preservatives, like emulsifiers, may alter the gut microbiota (Chassaing et al., 2017). Additionally, prolonged exposure to Saccharin causes gut microbiota dysbiosis and inflammation in mice, as shown by an increase in Corynebacterium spp. with a reduction of key anti-inflammatory taxa, including Dorea and Ruminococcus (Bian et al., 2017). Saccharin is also related to a decrease in Equol production. Equol is formed by gut bacteria during the metabolization of daidzein (Isoflavone), a factor contained in soy products. Even though equol is known for having antioxidant and anti-carcinogenic properties (Bian et al., 2017), extensive consumption of both equol of dairy products in Hispanics was associated with reduced gut health (Lacourt-Ventura et al., 2021).

Extinct populations—What do archeological findings tell us?

The evolution of the human microbiota can be addressed from a paleontological point of view using ancient microbial DNA, preserved in archeological samples. Human coprolites (mummified feces) collected from Cueva de Los Chiquitos, Rio Zape Valley, Mexico dating 1,300 years B.P., were similar to each other and to feces from rural populations with higher levels of Prevotella and Treponema (Tito et al., 2012). These bacteria are commonly found in traditional communities and are rare or missing in modern gut microbiomes (Tito et al., 2012). Similarly, the gut microbiome preserved in coprolites from the United States and Mexico were more similar to rural gut microbiomes than to industrial ones (Wibowo et al., 2021). In particular, coprolites and extant non-industrial fecal samples have a higher prevalence of Ruminococcus callidus, Butyrivibrio crossotus and Treponema succinifaciens, whereas industrial fecal samples had a higher abundance of Bacteroidetes such as Bacteroides and Prevotella (Wibowo et al., 2021). Recently, paleomicrobiological studies showed that coprolites from two ancient agricultural ethnic groups (Huecoid and Saladoid) from Puerto Rico, exhibited microbial community differences due to diet-related to cultural traditions (Cano et al., 2014). Maize and Basidiomycetes sequences were found in Huecoid coprolites, whereas sequences related to fish parasites were detected in Saladoid, suggesting the consumption of maize and fish, respectively (Cano et al., 2014). Similar to that observed in coprolites, the gut microbiome of Peruvian Inca mummies differs from that of modern Amazonians (Santiago-Rodriguez et al., 2016). Analyses of the 16S rRNA gene showed that Pseudomonadales and Enterobacteriales were more abundant in modern Amazonians, whereas Lactobacillales were more abundant in the Peruvian Inca mummies. In addition, Trypanosoma cruzi sequences were detected in higher abundance in mummies compared to modern Amazonians suggesting the presence of Chagas disease in South America before the arrival of Europeans (Santiago-Rodriguez et al., 2016). Overall, ancient DNA studies could be essential to understanding the changes in the human microbiome and the evolution of pathogens. However, with ancient samples, a major caveat is DNA degradation, which may favor the amplification of modern DNA due to contamination. Furthermore, sequencing errors may produce distorted DNA sequences that could lead to bias in taxonomic assignments. Therefore, hunter-gatherers and agriculturalists are better suited for the study of ancient microbiomes (Figure 4).

Microbial restoration—A potent new avenue in microbiome research

Diet and nutrition are known as the best modifiers of the gut microbiota. Specific nutrients are known to modulate the amounts and types of gut bacteria, as explained before. For instance, protein metabolism from beef induces a lower abundance of Bifidobacterium adolescentis and higher prevalence of Bacteroides and Clostridia when compared to consumers of a meatless diet (Singh et al., 2017). Proteins from whey and peas, however, increase Bifidobacterium and Lactobacillus, who function as anti-inflammatory taxa and SCFA-producers and decrease Clostridium perfringens (Singh et al., 2017). Consumption of saturated and trans fats is associated with cardiovascular disease risk (Estadella et al., 2013). Studies have suggested that a high-fat diet increases total anaerobic microflora and counts of Bacteroides, produces a lower concentration of Lactobacillus and is also related to inflammation and insulin resistance (Wu et al., 2011). A study found that a low fat, high carbohydrate diet increased fecal Bifidobacterium, and reduced fasting glucose and cholesterol when compared to baseline (Fava et al., 2013). A high unsaturated fat diet leads to an increase in lactic acid bacteria and Bifidobacteria. Saturated fat, however, promotes the proliferation of F. prausnitzii, Bilophila, and Bacteroides (Singh et al., 2017). As for carbohydrates, these are either digestible or non-digestible. Digestible carbohydrates, including starches and sugars, are degraded by digestive enzymes in the small intestine (Seo et al., 2020). On the contrary, non-digestible carbohydrates include fiber (cellulose and hemicellulose) and resistant starch, which can only be digested by fermentation through resident microorganisms of the large intestine (Sonnenburg and Sonnenburg, 2014). The fermentation of fiber changes the composition of the gut microbiota favoring bacteria capable of these processes. Fibers are thereby designated as prebiotics. A diet based on vegetables and fruits can act as prebiotics, providing polyphenols (Henning et al., 2017) and reducing the levels of Firmicutes and increasing Bacteroides (Henning et al., 2017). It can also lead to an increase in the abundance of Akkermansia and Bifidobacteria. The American Gut Project—the biggest microbiome citizen science project to date—has revealed that one does not need to be vegan or a strict vegetarian to have good gut bacteria, the important thing is to consume a variety of plants per week. It’s been documented that individuals who consume more than 30 types of plants per week compared to those who consume ten or fewer, had significantly reduced abundance of antibiotic resistance genes and gut diversity (McDonald et al., 2018). In summary, a balanced diet can improve gut microbiota, metabolic functions, and overall health (Figure 5A).

FIGURE 5

FIGURE 5. Restoration of the gut microbiome. Panel (A) Probiotics provide live microorganisms in the form of food or supplements that directly colonize the gut, while prebiotics provide fiber and carbohydrates that stimulate the growth of healthy bacterial colonies that already reside in the gut. Together, probiotics and prebiotics compose synbiotics which can be obtained commercially. Panel (B) displays two ways of microbial seeding, vaginal transfer for C-section born babies and fecal matter transplants. Image created with BioRender.com.

Synbiotics are products that have both probiotic and prebiotic components (Anand et al., 2019). An example is the use of Lactobacillus and Bifidobacterium along with carbohydrates (Rigo-Adrover et al., 2018). The use of synbiotics, although new, has given promising results. In a double-blind placebo-control trial, administration of a synbiotic reduced neonatal death and sepsis between the placebo group and treatment group by 40% (Panigrahi et al., 2017). In addition, to help maintain homeostasis in the gut and restore normal microbial populations, probiotics, prebiotics, and synbiotics have shown they can serve as alternative treatments for different conditions, as well as boost body functions. Fermented foods can either be fermented naturally -microorganisms pre-exist in raw food, or can be fermented using starter cultures, i.e., adding microbial colonies to already existing food products (Rezac et al., 2018). Historically, fermented foods have stood out for their long shelf life, but in recent years they have gained popularity because of their potential health benefits, especially gut health, since these fermented foods contain probiotic bacteria and prebiotic components. One of the most widely known fermented foods that have proven to have a beneficial effect on the gut microbiota is yogurt (Le Roy et al., 2022). More specifically, recent studies found that the use of fermented yogurt with probiotic Lactobacillus improves blood glucose and insulin levels in rats with T2D and increases the production of SCFAs (Qu et al., 2018). Cheese is another food that has been widely consumed around the world for centuries. A recent study found beneficial effects in cream cheese containing Lactococcus chungangensis. Specifically, it was found that rats that were administered cream cheese containing this microorganism presented lower IgE levels, increased fecal Bacteroides, Lactobacillus and Ruminococcus, as well as increased SCFA production (Kim et al., 2019b).

Additionally, there has been a recent interest in how prebiotic compounds in fermented foods benefit gut diversity and overall health. A study with fermented milk containing probiotic Bifidobacterium breve and prebiotic galactooligosaccharides found that people who were administered this milk had increased hydration and defecation as well as more clear skin (Mori et al., 2016); suggesting the potential beneficial effects on skin and gut health that a combination of probiotics and prebiotics can have, i.e., synbiotics (Figure 5A). In addition to traditional fermented foods that are consumed around the world, such as milk, cheese, and yogurt, there are three fermented foods that have proven to have a beneficial effect on gut and overall health: Kefir, Kimchi, and Kombucha. Kefir is a fermented milk drink with a sour taste that is produced using a starter culture that contains yeasts such as Kluyveromyces and Saccharomyces as well as bacteria such as Lactobacillus, Leuconostoc, and Acetobacter (Prado et al., 2015). Indeed, Kefir has been shown to alleviate obesity and hepatic steatosis in high-fat diet-fed mice by modulation of gut microbiota and mycobiota (Kim et al., 2017). Lactulose, a synthetic sugar added to Kefir has also been found to have prebiotic effects by increasing Bifidobacteria and defecation (Sakai et al., 2019). Thus, Kefir can increase gut diversity and benefit health by providing both probiotics and prebiotics. Kimchi is a group of fermented and salted vegetables that include cabbage, carrot, pear, apple, and ingredients such as chili, pepper, soybean, and ginger (Patra et al., 2016). Kimchi is usually a fermented food that has high concentrations of Leuconostoc, but can also have good concentrations of Lactobacillus, Weissella, and Pseudomonas (Jeong et al., 2013). Apart from bacteria, Kimchi has also been found to contain archaea and yeast (Chang et al., 2008). A study found that Lactobacillus Plantarum, which is usually found on Kimchi, can reduce mesenteric adipose tissue and increase the genomic expression of lipid oxidation genes (Park et al., 2017), features that suggest Kimchi may contribute to weight loss. Originating in China, Kombucha is a popular fermented tea beverage that is produced through aerobic fermentation and uses both bacteria and yeast (Gaggìa et al., 2018). Acetic acid and lactic acid-producing species such as Acetobacter and Lactobacillus, as well as yeasts such as Saccharomyces are the most commonly found organisms in Kombucha (Coton et al., 2017). The acid produced by these bacteria lower the pH of Kombucha, making it difficult for pathogenic bacteria such as E. coli to grow inside the beverage (Gaggìa et al., 2018). Although only recently Kombucha has been associated with benefits in health and the microbiota, a recent study found that administration of Kombucha tea reduces fat accumulation in the liver of rats with non-alcoholic fatty liver disease and decreases specific bacteria such as Clostridium in a mouse model (Jung et al., 2019). A study found that Gluconobacter, a bacteria commonly found in Kombucha, can produce D-Saccharic acid-1,4-lactone - a compound that has been this compound has been found to inhibit oxidative stress and the release of pro-inflammatory cytokines (Bhattacharya et al., 2013).

Microbial communities can also be restored by microbial seeding and fecal matter transplants (FMT). Even though microbial dysbiosis is expected as aging occurs and depends on environmental and birth-related factors, several restoration techniques have been developed to regulate microbial communities and improve health. So far, the best examples of microbiome restoration are vaginal and fecal microbial transfer to neonates (seeding) and fecal microbiota transplantations. The vaginal microbial transfer has been recently reported as the technique of acquiring vaginal bacterial communities from a mother awaiting a C-section and smearing the baby after birth (Dominguez-Bello et al., 2016).

The target of the vaginal seeding is to partially restore the microbiome of a baby born via C-section, using the vaginal microbiota of the mother upon delivery (Dominguez-Bello et al., 2016). The purpose is to transfer the vaginal flora from mothers to the mouth, nose, and skin of the newborn. Nonetheless, restoration of the neonatal microbiota born via C-section with maternal vaginal microbes has raised concerns about infection risks (Dominguez-Bello et al., 2019). Not all mothers qualify as candidates to be donors of vaginal fluids for the seeding procedure. Only women who were not carriers of infectious diseases nor tested positive for Sexually Transmitted Diseases (STDs) at the time of delivery were allowed to donate (Dominguez-Bello et al., 2016). Also, oral-fecal transplantation has proven successful in changing the neonate microbiota. De Vos and colleagues theorized that vaginally born babies might get their microbes from accidentally ingesting their mother’s stool during the birthing process (Helve et al., 2021). They diluted fecal matter into breast milk donated from the bank and pumped from the mothers themselves—and then fed it to their babies. The gut microbiome of the babies later resembled those born vaginally (Helve et al., 2021).

FMT is the administration of fecal matter from a healthy adult donor into the intestinal tract of an affected adult to change and restore their microbiome to healthy conditions (Pigneur and Sokol, 2016). In recent studies, it has been recognized that FMT is extremely efficient in treating inflammatory bowel disease (Tanaka and Nakayama, 2017), psoriasis (Yin et al., 2019), Crohn’s Disease (Sarrabayrouse et al., 2020), Clostridium difficile infections (Cammarota et al., 2017), and ulcerative colitis (Lleal et al., 2019). In addition, FMT has been known to suppress intestinal apoptosis, which reduces inflammatory responses, regulates lymphocytes, and alters the microbiota (Burrello et al., 2019). It has been shown that fecal matter from a healthy donor has the capacity to overturn dysbiosis by restoring alpha-diversity and increasing the abundance of health-related microbiota (Lleal et al., 2019). The long-lasting effects of FMT have been reported in patients with Irritable Bowel Syndrome (IBS) (El-Salhy et al., 2022). It has been reported that both recipient and donor bacterial strains in the FMT recipient persist after 3 months of the procedure, leading to a positive result against previous inflammatory disorders (Li et al., 2016). Lastly, cytokine testing is now performed to assess the accurate reduction of inflammation within the intestines by analyzing the recipient’s fecal matter with mucosal biopsies (Burrello et al., 2019). FMT has the capability to control chronic intestinal colitis by instigating a cascade of anti-inflammatory immune regulations, thereby supporting its usage in individuals with severe intestinal dysbiosis (Burrello et al., 2019) (Figure 5B).

Long term storage of microbiomes: The Microbiota Vault project

Currently, the global diversity of the human-associated microbiota is threatened by the westernization of lifestyles in the context of urbanization and the shrinking of indigenous cultures, in which a much higher microbial diversity has been observed. While the scientific discovery of causal relationships between individual microbes or microbial communities and human health is still in its infancy, means to protect and preserve microbial diversity may become critical to conserve long-term human health. Metagenomic analyses of the human microbiome revealed that ∼80% of the bacteria inhabiting the human body are unknown, prompting the metaphor of “microbial dark matter” (Eckburg et al., 2005). Such unknown diversity also extends to archaea, microbial eukaryotes, and viruses. Taken together, this means that there is a danger of irrevocably losing valuable information and opportunity at a time when science has just started understanding the health relevance and potential of our microbial environment and the microbiome. Hence the need for a global collection of such microbiota and for their safe storage and preservation. Within the Microbiota Vault initiative, a pioneer team of international experts has come together with the aim of safeguarding microbial diversity by supporting collection efforts and creating an institution for safe preservation, the Microbiota Vault. The initiative takes inspiration from the Svalbard Global Seed Vault, which safeguards the global diversity of food crop seeds. The program is supported by several nonprofit foundations and academic institutions, which published a feasibility study in order to assess and concretize the concept for its implementation. This study found that the Microbiota Vault initiative has great significance and potential and urged its leaders to establish a pilot project that would include infrastructure to store diverse microbiomes of the world’s human population (Steiger and Heuss, 2020). In 2022 a documentary titled “The invisible extinction” premiered at CPH:DOX explain the project by its founders https://www.theinvisibleextinction.com/. Such samples and collections are to be made available for future resuscitation, culturing, and research based on clearly defined rules such as those established by a dedicated international treaty—a human microbial “Noah’s Ark.”

Concluding statement

The human microbiome has clear implications for health and disease and is getting popularized in clinical and translational studies. Many limitations of microbiome studies include the fact that the large and complex data sets require specific training for effective analysis which is not usually available worldwide, corresponding to the need in representation of biological samples. Low- and middle-income countries -where most human microbial diversity and health problems reside- requires a significant investment in training in bioinformatics so that scientists at ease utilizing and creating projects involving sequence data. Open science, including meta-analysis of previously published microbiome data can also pave the way to new hypotheses and knowledge.

For this to happen it is essential that only high-quality metadata and raw sequence data are used and openly accessible. Transparency and reproducibility should also be enhanced and required from published papers, with the use of standard methodologies such as protocols suggested by international consortia such as The Earth Microbiome Project or the international Human Microbiome Standards and the use of microbiome data management tools (e.g., QIITA) (Gonzalez et al., 2018; Bokulich et al., 2020). Efforts to standardize procedures and analyses as well as to promote equity and inclusion in this Frontier microbial science are underway and many resources that can help in conducting microbiome, research have been very well summarized in (Foxx et al., 2021; Marcos-Zambrano et al., 2021). Certainly, microbiome efforts from around the world are showing unique characteristics of the microbiota dependent on lifestyles and geographical areas.

Microbiome research is transforming our understanding of human biology. There are still there are still many answers that remain unanswered, including detailed microbiome transmission in body sites, lifestyle impacts to microbiome transmission, how microbiomes evolve and stabilize after antibiotics, population resilience and even how other members such as Fungi, Archaea or even the virome respond to changes in the bacterial biota, from perturbations to new probiotic therapeutics and if and how these dynamic changes continue longitudinally through time. Although there is still much research to be done to understand the mechanistic links between the microbiome and disease, this branch of the microbial sciences is opening vast opportunities for therapeutic treatments and improving human health.

Author contributions

Conceptualization FG-V; Writing original draft FG-V; Editing and revision of subsequent drafts FG-V and JR-G; revision of final draft: all authors. All authors have read and agreed to the published version of the manuscript.

Funding

FG-V was funded by the Puerto Rico Science Technology and Research Trust; partial support was given from NIH/NIMHD Grant No. 2U54MD007600 and HiREC Grant No. S21MD00183. Support was also given by the NIH-NIGMS programs Alliance U54MD007587, PR-INBRE 5P20GM103475-17, and by the UPR/MDACC: Partnership for Excellence in Cancer Research under Award Number 2U54CA096297-16. Additional support to authors was given by NIGMS-RISE Research Initiative for Scientific Enhancement award R25 GM061838 and 5R25GM061151-20.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors acknowledge contribution to the initial plan of the manuscript, prior to the document draft, to Miss Paola Cardona.

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