Every inch of the human body harbors microorganisms (bacteria, fungi, and viruses) and they together constitute the human microbiome. Microbiomes vary depending on the particular niche they occupy on the human body. The most enormous is the gut microbiome which has a preponderance of bacteria whose numbers (3.8 × 1013) are similar to the total number of cells in the human body (3.0 × 1013). With an estimated 3.3 million genes, the gut bacterial microbiome has 150 fold greater numbers of genes compared to the 23,000 genes in the human body. Thus, it is logical to assume that the vast number of bacteria and their associated genes are likely to have functions that impact human health.
Gut Microbiome Functions
The canonical role of the gut bacterial microbiome is to aid in digestion, to protect against pathogenic bacteria, to aid in the development of the host immune system, to aid in production of vitamins and synthesis of short-chain fatty acids (such acetate, propionate, and butyrate). In addition, the microbiome helps to preserve homeostasis of several T-cell populations in the gut, comprising regulatory T cells (Treg), T helper 1 (Th1), and 17 (Th17) cells which are vital in hosting an immune response against pathogens. Studies have also indicated that commensal bacteria that are native to the human gut, that is, the autochthonous or indigenous gut microbiota are diverse between individuals and may thus be responsible for the variations observed between individuals at the physiological level. Thus unravelling the gut bacterial microbiome is important and needs to be understood in totality.
Core Gut Microbiome and 'Dysbiosis'
Gut microbiome is primarily composed of the phyla Firmicutes, Bacteroidetes, Actinobacteria, Proteobacteria, Fusobacteria, and Verrucomicrobia. Of these, the phyla Firmicutes and Bacteroidetes are the most predominant and represent 70–90% of the gut microbiota. The above four phyla together constitute the “core microbiome” and have been consistently detected in the gut microbiome of all normal individuals. In a healthy human being, the gut bacterial microbiome maintains a delicate balance between the 'good or beneficial' (probiotic and anti-inflammatory) and “bad or harmful” (pro-inflammatory and pathogenic) bacteria. But under certain conditions, such as high-fat diet, excessive of sugar intake, sedentary lifestyle, excess uptake of antibiotics, and under diseased conditions the balance in the microbiome tilts from 'beneficial' to 'harmful' bacteria. This imbalance or alteration in the gut microbiome recognized by the increase or decrease in diversity, abundance, and function of the gut microbes as compared to that in the healthy human gut is referred to as “dysbiosis”. Over the last decade, dysbiosis in the gut microbiome has become a hallmark of disease [Fig. 1].
Evidence that Bacteria in the Gut Microbiome are Associated with Disease
That bacteria in the gut microbiome cause the disease during dysbiosis was obvious when it was elegantly demonstrated that lean mice following fecal transplantation with the gut bacteria from fat mice were transformed into obese mice. The converse was observed when skinny germ-free mice plumped up on receiving a fecal transplant from a human obese donor. It was also demonstrated that fecal transplants supplemented with Christensenella minuta rendered the recipient mice thinner, indicating that C. minuta controls obesity. In the gut microbiome, there are other beneficial bacteria such as Akkermansia muciniphila, which when present in abundance reversed obesity and decreased insulin resistance probably mediated by endocannabinoids secreted by A. muciniphila and Faecalibacterium prausnitzii, which protects against intestinal inflammation. In addition, the gut microbiome may also be associated, with bacteria which exert deleterious effects like Klebsiella pneumoniae and Proteus mirabilis, which have been implicated in colitis in mice. Thus, just as a pathogen could cause a disease, a “good” microbe could prevent a disease? An important aspect that has emerged, over the years, is that the gut microbiome is prone to changes depending on host factors (such as age, gender, region of origin, genetics and intrinsic factors of the gut such as pH, bile acids, transit time and mucus), environmental factors (e.g., nutrients and medication) and microbial factors (e.g., adhesion capability, bacterial enzymes, metabolic strategies, bacteriophages). These confounding factors need to be accounted for when comparing microbiomes between healthy and diseased individuals.
Gut Microbiome Dysbiosis and Human Health
Establishing an association between dysbiosis and disease is the first step in appreciating the important role of the gut microbiota in disease. But the formidable challenge is to connect the property/function of a microbe or microbes to a disease so as to be able to manipulate the microbe for the benefit of mankind. Establishing this connection between the gut microbe and the disease is a mammoth task considering that the numbers and species of microbes that inhabit a niche are mindboggling and thus singling out one or a few bacteria may not always be possible.
Dysbiosis in the gut bacterial microbiome has been associated with several intestinal diseases like obesity, Crohn's disease, Type 1 Diabetes Mellitus, Type 2 DM, colorectal cancer and gastric cancer. Dysbiois has also been associated with several extra-intestinal diseases such as cancers, muscular dystrophy, vaginosis, neuro-developmental, and neuro-degenerative diseases. Overall the above studies indicated that the connection between gut microbiome dysbiosis and diseases may be based on the functional attributes of the dysbiotic taxa in the gut microbiome. But, it may not always be possible to interpret the dysbiotic changes vis a vis the disease. It should also be dealt with caution that much of the interpretation is based on inferred functions of the bacteria and most of the time the extrapolations are from the genus to the species level.
Gut Microbiome Dysbiosis and Ocular Diseases
Several systemic diseases also manifest in patients as ocular diseases. For instance approximately 10% of individuals with inflammatory bowel disease manifest as episcleritis, uveitis, and conjunctivitis, which are inflammatory diseases of eye. Some of these diseases also occur due to non-infectious conditions like idiopathic or auto-immune uveitis or Steven Johnson syndrome–induced keratitis. It is likely that under non-infectious conditions, these diseases are influenced by dysbiosis in the gut microbiome. More recently, dysbiosis has been implicated in ocular diseases like bacterial and fungal Keratitis, Uveitis, Ocular mucosal disease and Age-related macular degeneration which implied a possible connect between the gut microbiome dysbiosis and ocular diseases. It was also demonstrated that the ocular fungal microbiome changes under conditions of fungal Keratitis. Thus maintaining a healthy gut microbiome or organ microbiome is crucial and sacrosanct to human health and the challenge is to be able to identify and establish a connect between the microbe and the disease.
(a) Gut microbiome dysbiosis and Uveitis
Two studies on Indian and Chinese Uveitis patients demonstrated that uveitis and healthy control (HC) microbiomes are distinctly different and an overall decrease was observed in the diversity and abundance of the bacterial communities in the gut microbiomes of uveitis patients compared to HC [Fig. 2]. Several bacteria like Lachnospira, Dialister, Dorea, Blautia, Clostridium, Coprococcus, Odoribacter, Faecalibacterium prausnitzii, Akkermansia muciniphila, Mitsuokella, Magasphaera and Roseburia which are known butyrate producers and contribute to anti-inflammatory response were decreased in abundance. In addition Ruminococcus, Bacteroides, Bifidobacterium adolescentis, Oscillospira and Veillonella dispar which are known to exhibit probiotic properties were also decreased several folds in uveitis microbiomes compared to HC [Table 1]. Thus, it may be concluded that in uveitis subjects, the decrease in gut bacteria with anti-inflammatory and probiotic properties may contribute or exacerbate the inflammatory reaction. Several other taxa were also significantly enriched in HC and substantially reduced in uveitis patients but the physiological relevance of these enrichments in HC vs. uveitis patients is not known. It was also observed that a few short chain fatty acid producing bacteria viz. Faecalibacterium and Roseburia were present in the guts of diseased individuals, but their abundances were less than half when compared to healthy controls implying that abundance is important. One of the major challenges is to establish a connection between dysbiosis and the ocular disease. In a recent review Horai and Caspi provided evidence that gut commensal microbes impact not only intestinal diseases but also extra-intestinal diseases like the diseases of the eye. They used mice models of experimental autoimmune Uveitis (EAU) and the spontaneously uveitic R161H mice to address the issue as to whether commensal gut microbiota could trigger the development of Uveitis. EAU was induced by active immunization of B10. RIII mice with interphotoreceptor retinoid binding protein (IRBP), a retinal protein, which was coadministered with a killed mycobacterial antigen adjuvant, to induce ocular inflammation. In these EAU mice, the severity of uveitis was associated with increased abundance of Coprococcus, Dorea, Adlecreutzia and Desulfovibrio genera in the uveitic state compared with normal healthy controls. Further, it was observed that altering the intestinal microbiota of uveitic mice with a cocktail of four broad-spectrum oral antibiotics (ampicillin, metronidazole, neomycin and vancomycin) substantially reduced the severity of uveitis. Individual antibiotics, ampicillin, and neomycin, had no effect on uveitis severity whereas oral metronidazole or vancomycin alone significantly reduced uveitis severity. It was also observed that systemically administered antibiotics did not have an effect on uveitis severity arguing against any direct anti-inflammatory effects of the antibiotics. Yet another study confirmed that altering the microbiome with either germ-free rearing of animals or treatment with oral metronidazole and ciprofloxacin resulted in markedly reduced uveitis severity. The possible reason for the amelioration of uveitis following antibiotic treatment could be attributed to the increased regulatory T cells (Tregs) both in lymphoid tissues and in the eye of EAU mice which acted as the trigger.
In addition to the use of EAU model, the spontaneous uveitis model in R161H mice also confirmed that the gut microbiotas are involved in triggering autoimmune uveitis. It was observed that R161H mice reared under the germ-free (GF) conditions or following depletion of commensal microbiota by a cocktail of oral broad-spectrum antibiotics (ampicillin, metronidazole, neomycin, and vancomycin) showed attenuation of spontaneous uveitis. Further, disease development in the spontaneously uveitic R161H mice was associated with the gut microbiome activating Uveitis-relevant cells, the TH17 cells in the intestine even before the onset of clinical Uveitis. These studies supported a causative role of microbiota in triggering uveitis, but the direct proof that auto-reactive T cells in the gut migrate and reach the eye to cause uveitis is still lacking. From the foregoing information, it was hypothesised that metabolites of gut microbiota could possibly modulate or attenuate uveitis either by enhancing Tregs in the colon and cervical lymph nodes and (or) by reducing the trafficking of effector T cells between the intestines and the spleen during uveitis. Accordingly, it was demonstrated that exogenous administration of short chain fatty acids, which are normally produced by gut microbiota, could reduce the severity of uveitis by the above two mechanisms. Thus an effective method to treat uveitis could be to alter intestinal bacteria diversity so as to enhance beneficial metabolites.
Molecular Basis of Gut Microbiota-Induced Uveitis
The molecular basis of the gut microbiota induced uveitis is yet not clearly understood. A few studies demonstrate that in the EAU mice model dysbiosis in intestinal, pharyngeal, oral, and ocular microbiomes could lead to epigenetic reprogramming and inflammation making the host more susceptible to ocular diseases such as autoimmune uveitis, AMD and open-angle glaucoma. Evidence for this mechanism is multifold and includes several important observations. Foremost is the discovery of the transcription factors Tbx21 and Rorc whose methylation changes were associated with the production of the Th1/Th17 cells associated with uveitis. Hypomethylation of these transcription factors due to reduction in the expression of DNA methyltransferase (DNMT1) was discovered in the retinas and RPE choroidal tissues of EAU mice and was associated with increased production of Th1/Th17 specific cytokines (IFNγ and IL-17). But whether a similar mechanism operates in human uveitis patients is not known. It was also observed that miRNA-223 which is associated with microbiome dysbiosis and which promotes inflammation was upregulated in the EAU rat model. In addition, a uveitis associated miRNA cluster of six miRNAs, which is linked to inflammatory signalling cascades, was detected in serum miRNA profiles of patients 49. Yet we do not understand how changes in the gut cause inflammation in the eye, which is normally immunologically privileged.
(b) Gut microbiome dysbiosis and Bacterial Keratitis (BK)
Dysbiotic changes in the bacterial gut microbiome were observed in individuals with BK compared to HC individuals [Fig. 2]. Functionally the bacteria in BK patients which showed significant differences in abundance compared to the gut microbiome of healthy controls could be categorised as anti-inflammatory (21 nos.), pro-inflammatory (2 nos.), anti-bacterial (4 nos.) and probiotic (12 nos.) [Table 1]. The pro-inflammatory bacteria increased whereas the anti-inflammatory, probiotic and anti-bacterial decreased in abundance in BK patients. It was concluded that this combination of a decrease in anti-inflammatory and probiotic bacteria and increase in pro-inflammatory bacteria would support BK, an inflammatory condition. These observations also confirmed earlier studies that Prevotella copri and Bilophila, which are pro-inflammatory are increased in BK patients. It was also observed that known pathogens like Enterococcus, Bacteroides fragilis, genera CF231, and Dysgonomonas which cause gastroenteritis were also enriched in the gut microbiomes of BK patients. It is worth mentioning that in both HC and BK microbiomes Prevotella copri which has a pro-inflammatory function and associated with rheumatoid arthritis is enriched but its abundance is greater in BK patients. Thus decrease in anti-inflammatory and probiotic bacteria may be contributing to the inflammatory reaction in BK patients.
(c) Gut microbiome dysbiosis and fungal Keratitis (FK)
Fungal keratitis (FK) is estimated to affect over a million cases annually and significantly contributes to corneal blindness in tropical countries. Common causative organisms include Aspergillus spp., Fusarium spp., Candida spp., Curvularia spp., Penicillium spp., Rhizopus spp., and Mucor spp. In a recent study, in an Indian cohort, it was demonstrated that gut bacterial richness and diversity in FK patients was significantly decreased demonstrating dysbiosis in the gut bacterial microbiomes compared to healthy controls [Fig. 2]. In FK subjects several anti-inflammatory bacteria (11 numbers), which are involved in promoting several health benefits like those affiliated to Lachnospiraceae and Ruminococcaceae and to the genera Megasphaera, Ruminococcus, Roseburia, Lachnospira, Acidaminococcus, Clostridium, Dialister, Dorea and the species Mitsuokella multacida and Faecalibacterium prausnitzii were decreased in abundance compared to the HC individuals [Table 1]. This prominent decrease in anti-inflammatory bacteria along with the decrease in probiotic bacteria like Lactobacillus, Bacteroides plebeius and Bifidobacterium adolescentis would support the inflammatory condition in FK patients. Further increase in pro-inflammatory Shigella and a single pathogen Treponema would also support FK. Thus, in FK subjects, the decrease in gut bacteria with anti-inflammatory and probiotic properties exacerbate the inflammatory reaction in Keratitis.
(d) Gut microbiome dysbiosis and ocular mucosal disease
Sjögren syndrome (SS) is a common mucosal autoimmune disease and primarily affects the secretory glands and mucosal tissues of the eye and mouth. In the eye, it causes severe dry eyes. Investigations on the ocular, oral, and stool microbiomes of patients with SS revealed significantly altered diversity in the oral and intestinal microbiome in SS patients [Table 1]. Thus SS associated dry eye disease patients showed dysbiosis in the gut microbiome but the trend was not very clear. For instance anti-inflammatory (Pseudobutyrivibrio, Blautia, and Streptococcus), pro-inflammatory (Shigella) and pathogenic (Escherichia) bacteria were increased in abundance under dry eye condition and in contradiction anti-inflammatory (Parabacteroides, Fecalibacterium), proinflammatory (Prevotella) and probiotic (Bacteroides) were also significantly reduced in stool samples from SS individuals. Thus dysbiotic changes in the gut microbiomes of patients with dry eye is clear but the possible involvement is obscure.
(e) Gut microbiome dysbiosis and age-related macular degeneration (AMD)
AMD is the most frequent cause of blindness in the elderly. Factors such as nutrition, inflammation, and genetic risk factors have been implicated in the development of AMD. In fact, it was demonstrated using a mouse model that high-fat diet alters the gut microbiota and exacerbates choroidal neovascularization, a feature of AMD. Just about the same time, it was demonstrated that wild-type mice fed a high-glycemic-index diet had an altered gut microbiota and the mice developed AMD like in the diseased state. Further when the mice were treated with a low-glycemic-index diet, the development of AMD was reverted. Recent studies suggest that dysbiosis in the gut microbiome is also associated with AMD in human beings [Table 1]. Anaerotruncus, Oscillibacter, Ruminococcus torques, and Eubacterium ventriosum were relatively enriched in patients with AMD, whereas Bacteroides eggerthii was decreased in AMD patients [Table 1]. In individuals with advanced AMD the abundance of Prevotella increased whereas the abundance in Ruminococcaceae and Rikenellaceae bacteria were decreased compared to healthy controls. It was also observed that the microbiomes of AMD patients were enriched in genes of the L-alanine fermentation pathway, glutamate degradation pathway and arginine biosynthesis pathways. Simultaneously decrease in genes of the fatty acid elongation pathway and the carotenoid biosynthetic pathways were observed thus implicating these pathways in the pathogenesis of AMD. Taking cue from these observations a study titled “Age related eye disease study 2” (AREDS2) was undertaken to ascertain whether nutritional supplements could prevent or slow down AMD. The AREDS2 formulations tested contained antioxidants and carotenoids (vitamin C, Vitamin E, cupric oxide, Lutein, Zeaxanthin and Zinc) and so far it is the only nutritional intervention that slowed the progression of AMD. In all likelihood, these oral supplements altered the gut microbiota, and this is yet to be demonstrated. But, gut microbiota were altered by supplementation with AREDS which unlike AREDS2 had all the above constituents but lacked Lutein and Zeaxanthin. The most predominant change was an increase in Peptoniphilius, in AMD individuals taking AREDS. It is also known that variations in or near the complement genes (CFH, CFI, CFB, and C3) and a polymorphism (rs10490924) in ARMS2 showed the highest association with AMD. But the majority of intestinal bacterial changes could not be associated with the presence of ARMS2 rs10490924 or variations in CFH (complement factor H).
Molecular Basis of Gut Microbiota Induced AMD
The foregoing studies indicate that gut microbiome dysbiosis is associated with AMD. But, as yet, a possible molecular basis of dysbiotic gut microbiota influencing AMD is not clear. A few epigenetic changes like DNA methylation and histone acetylation have been observed in the retina of AMD patients. Hypermethylation of glutathione S-transferase P1 (GSTP1) promoter is known to repress mRNA expression of the two isoforms of glutathione S-transferase (GSTM1 and GSTM5) thus leading to a decrease in scavenging of reactive oxidative species which is detrimental to retina. Further, hypomethylation of interleukin 17 receptor C (IL17RC) promoter leads to increased expression of the receptor which is known to promote pro-inflammatory cascades. Finally, histone deacetylation has been shown to limit the accumulation of clusterin, a protein produced by the retinal pigment epithelium. The environmental trigger for these epigenetic changes has not been defined but it is possible that the microbiome and its byproducts may influence such modifications.
(f) Ocular microbiome dysbiosis and fungal Keratitis
Recent ocular surface studies indicated that Proteobacteria, Firmicutes, and Actinobacteria constituted the core phyla and the Corynebacterium genus was the most abundant on the ocular surface. Compared to the bacterial microbiome, little is known about the ocular surface fungal microbiome. In a recent study, NGS detected 65 distinct fungal genera with Aspergillus, Setosphaeria, Malassezia, and Haematonectria present in all the 25 eyes in which fungi were detected. Alpha diversity in the two eyes was similar and sex had no effect, but Chao1 and Simpson indices were altered by age. In a subsequent study, it was demonstrated based on Alpha diversity indices, phylum and genera level diversity and abundance differences and heat map analysis that the fungal microbiomes of individuals with fungal keratitis exhibited dysbiosis compared to the ocular surface microbiome of the healthy control individuals. Based on the diversity and abundance it was suggested that as compared to the conjunctiva from healthy controls, the conjunctiva and corneal scraping of fungal keratitis individuals had a greater abundance of opportunistic pathogens or pathogens which could be related to ocular disease. This was the first report implicating dysbiosis in the fungal microbiome of conjunctival swabs and corneal scrapings in individuals with fungal keratitis. Such studies on ocular surface bacteria are lacking.
Modulation of the Gut Microbiome as a Therapy
The realization that we are what we eat and the fact that the microbes are not passive partners in the gut but could positively influence human health (under conditions of dysbiosis) has opened up several avenues for effective treatment. The most obvious approach was to try and reverse the dysbiotic changes and restore normalcy by the use of antibiotics, prebiotics, and probiotics. But success was not forthcoming with the use of antibiotics and prebiotics. A distinct ray of hope was apparent when probiotics were used to reverse dysbiosis. For instance in animal models of rheumatoid arthritis, the beneficial effects of probiotics were obvious but probiotic use has not been unequivocally replicated in clinical settings. In Rheumatoid arthritis patients who received Lactobacillus rhamnosus alone or in combination with Lactobacillus reuteri or Bacillus coagulans the outcomes were not consistent and varied from improved subjective well-being to a reduction in inflammatory markers and cytokine levels. This lack of consistent outcome could be attributed to the observation that the stool microbiota compositions before and after probiotic courses of Lactobacillus rhamnosus or Bifidobacterium were retrieved in >90% of the subjects' stools and were similar to those of the placebo group. Despite these attempts to modulate the gut bacterial microbiome to overcome diseases, it has been demonstrated that 1-month treatment with probiotic eye-drops of Lactobacillus acidophilus improved signs and symptoms in patients with Vernal keratoconjunctivitis. Another method which has positive clinical outcomes is fecal microbial transplantation (FMT), involving transfer of fecal microbiota of a normal healthy individual to a diseased person. FMT has proved successful in the treatment of Clostridium difficile diarrhea and IBD. At the moment in the field of ocular biology, this approach is far from being considered due to various social and ethical reasons.
What Needs to be Done
Gut microbiome studies have proved an association between the gut microbiome and ocular diseases and the future of microbiome studies would however be cause or effect. But, the importance of the microbiome vis a vis ocular health would become even more appreciated if the following are addressed:
- (i) Establish a connection between the gut and ocular microbiomes
- (ii) Carry out longitudinal studies to define the dynamics of the ocular microbiome vis a vis the severity of the disease
- (iii) Undertake studies in close relatives to confirm the changes
- (iv) Understand the mechanism by which gut microbiome influences a disease through metabolites, inflammatory molecules, and cytokines thus opening up a co-ordinated effort between microbiomes and metabolomics
- (v) Use animal models like mouse and zebrafish to study the molecular mechanism underlying the disease.
Microbiome research offers hope by way of a new therapy for ocular diseases involving gut microbes and their metabolites.
Financial support and sponsorship
This work was supported by the Prof. Brien Holden Eye Research Centre, L V Prasad Eye Institute, Hyderabad, India. We would also like to thank Department of Biotechnology, Government of India for the following grants: BT/PR12057/MED/12/676/2014 and BT/PR32404/MED/30/2136/2019.
Conflicts of interest
There are no conflicts of interest.
1. Sender R, Fuchs S, Milo R. Revised estimates for the number of human and bacteria cells in the body PLoS Biol. 2016;14:e1002533)
2. Qin J, Li R, Raes J, Arumugam M, Burgdorf KS, Manichanh C, et al A human gut microbial gene catalogue established by metagenomic sequencing Nature. 2010;464:59–65
3. Kho ZY, Lal SK. The human gut microbiome
– A potential controller of wellness and disease Front Microbiol. 2018;9:1835
4. Livingston M, Loach D, Wilson M, Tannock GW, Baird M. Gut commensal Lactobacillus reuteri
100-23 stimulates an immunoregulatory response Immunol Cell Biol. 2010;88:99–102
5. Rinninella E, Raoul P, Cintoni M, Franceschi F, Miggiano GAD, Gasbarrini A, et al What is the healthy gut microbiota composition. A changing ecosystem across age, environment, diet, and diseases? Microorganisms. 2019;7:14
6. Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome
with increased capacity for energy harvest Nature. 2006;444:1027–31
7. Ridaura VK, Faith JJ, Rey FE, Cheng J, Duncan AE, Kau AL, et al Gut microbiota from twins discordant for obesity modulate metabolism in mice Science. 2013;341:1241214
8. Goodrich JK, Waters JL, Poole AC, Sutter JL, Koren O, Blekhman R, et al Human genetics shape the gut microbiome
9. Everard A, Belzer C, Geurts L, Ouwerkerk JP, Druart C, Bindels LB, et al Cross-talk between Akkermansia muciniphila
and intestinal epithelium controls diet-induced obesity Proc Natl Acad Sci. 2013;110:9066–71
10. Garrett WS, Gallini CA, Yatsunenko T, Michaud M, DuBois A, Delaney ML, et al 2010 Enterobacteriaceae act in concert with the gut microbiota to induce spontaneous and maternally transmitted colitis Cell Host Microbe. 2010;8:292–300
11. Prakash S, Rodes L, Coussa-Charley M, Tomaro-Duchesneau C. Gut microbiota: Next frontier in understanding human health and development of biotherapeutics Biologics. 2011;5:71–86
12. Ignacio A, Fernandes MR, Rodrigues VA, Groppo FC, Cardoso AL, Avila-Campos MJ, et al Correlation between body mass index and faecal microbiota from children Clin Microbiol Infect. 2016;22:251–8
13. Sokol H, Landman C, Seksik P, Berard L, Montil M, Nion-Larmurier I, et al Fecal microbiota transplantation to maintain remission in Crohn's disease: A pilot randomized controlled study? Microbiome. 2020;8:12 doi: 10.1186/s40168-020-0792-5
14. Qin J, Li Y, Cai Z, Li S, Zhu J, Zhang F, et al A metagenome-wide association study of gut microbiota in type 2 diabetes Nature. 2012;490:55–60
15. Murri M, Leiva I, Gomez-Zumaquero JM, Tinahones FJ, Cardona F, Soriguer F, et al Gut microbiota in children with type 1 diabetes differs from that in healthy children: A case-control study BMC Med. 2013;11:46
16. Flemer B, Lynch DB, Brown JMR, Jeffery IB, Ryan FJ, Claesson MJ, et al Tumour-associated and non-tumour-associated microbiota in colorectal cancer Gut. 2017;66:633–43
17. Dicksved J, Lindberg M, Rosenquist M, Enroth H, Jansson JK, Engstrand L. Molecular characterization of the stomach microbiota in patients with gastric cancer and in controls J Med Microbiol. 2009;58:509–16
18. Acharya C, Bajaj JS. Gut microbiota and complications of liver disease Gastroenterol Clin North Am. 2017;46:155–69
19. Tang WH, Kitai T, Hazen SL. Gut microbiota in cardiovascular health and disease Circ Res. 2017;120:1183–96
20. Kim S, Kim H, Yim YS, Ha S, Atarashi K, Tan TG, et al Maternal gut bacteria promote neurodevelopmental abnormalities in mouse offspring Nature. 2017;549:528–32
21. Zheng P, Zeng B, Zhou C, Liu M, Fang Z, Xu X, et al Gut microbiome
remodeling induces depressive-like behaviors through a pathway mediated by the host's metabolism Mol Psychiatry. 2016;21:786–96
22. Liu P, Wu L, Peng G, Han Y, Tang R, Ge J, et al Altered microbiomes distinguish Alzheimer's disease from amnestic mild cognitive impairment and health in a Chinese cohort Brain Behav Immun. 2019;80:633–43
23. Wu W, Kong Q, Tian P, Zhai Q, Wang G, Liu X, et al Targeting gut microbiota dysbiosis
: Potential intervention strategies for neurological disorders Engineering. 2020 doi: 10.1016/j.eng.2019.07.026
24. Qiu D, Xia Z, Jiao X, Deng J, Zhang L, Li J. Altered gut microbiota in myasthenia gravis Front Microbiol. 2018;9:2627
25. Scher JU, Ubeda C, Artacho A, Attur M, Isaac S, Reddy SM, et al Decreased bacterial diversity characterizes the altered gut microbiota in patients with psoriatic arthritis, resembling dysbiosis
in inflammatory bowel disease Arthritis Rheumatol. 2015;67:128–39
26. Drago L. Prevotella copri and microbiota in rheumatoid arthritis: Fully convincing evidence? J Clin Med. 2019;8:1837
27. Vavricka SR, Schoepfer A, Scharl M, Lakatos PL, Navarini A, Rogler G. Extraintestinal manifestations of inflammatory bowel disease Inflamm Bowel Dis. 2015;21:1982–92
28. Levine JS, Burakoff R. Extraintestinal manifestations of inflammatory bowel disease Gastroenterol Hepatol (N Y). 2011;7:235–41
29. Jayasudha R, Chakravarthy SK, Prashanthi GS, Sharma S, Garg P, Murthy SI, et al Alterations in gut bacterial and fungal microbiomes are associated with bacterial Keratitis
, an inflammatory disease of the human eye J Biosci. 2018;43:835–56
30. Kalyana Chakravarthy S, Jayasudha R, Ranjith K, Dutta A, Pinna NK, Mande SS, et al Alterations in the gut bacterial microbiome in fungal Keratitis
patients PLoS One. 2018;13:e0199640
31. Kalyana Chakravarthy S, Jayasudha R, Sai Prashanthi G, Ali MH, Sharma S, Tyagi M, et al Dysbiosis
in the gut bacterial microbiome of patients with uveitis
, an inflammatory disease of the eye Indian J Microbiol. 2018;58:457–69
32. Huang X, Ye Z, Cao Q, Su G, Wang Q, Deng J, et al Gut microbiota composition and fecal metabolic phenotype in patients with acute anterior uveitis
InvestOphthalmol Vis Sci. 2018;59:1523–31
33. Horai R, Zarate-Blades CR, Dillenburg-Pilla P, Chen J, Kielczewski JL, Silver PB, et al Microbiota-dependent activation of an autoreactive Tcell receptor provokes autoimmunity in an immunologically privileged site Immunity. 2015;43:343–53
34. de Paiva CS, Jones DB, Stern ME, Bian F, Moore QL, Corbiere S, et al Altered mucosal microbiome diversity and disease severity in sjögren syndrome Sci Rep. 2016;6:23561
35. Zinkernagel M, Zysset-Burri D, Keller I, Berger LE, Leichtle AB, Largiadèr CR, et al Association of the intestinal microbiome with the development of neovascular age-related macular degeneration
Sci Rep. 2017;7:40826
36. Shivaji S. We are not alone: A case for the human microbiome in extra intestinal diseases Gut Pathogens. 2017;9:13
37. Shivaji S. Connect between gut microbiome
and diseases of the human eye J Biosci. 2019;44:110
38. Sai Prashanthi GS, Jayasudha R, Chakravarthy SK, Padakandla SR, SaiAbhilash CR, Sharma S, et al Alterations in the ocular surface fungal microbiome in fungal keratitis
patients Microorganisms. 2019;7:309
39. Shivaji S, Jayasudha R, Sai Prashanthi G, Kalyana Chakravarthy S, Sharma S. The human ocular surface fungal microbiome Invest Ophthal Vis Sci. 2019;60:451–9
40. Anand S, Kaur H, Mande SS. Comparative in silicoanalysis of butyrate production pathways in gut commensals and pathogens Front Microbiol. 2016;7:1945
41. Horai R, Caspi RR. Microbiome and autoimmune uveitis
Front Immunol. 2019;10:232
42. Zarate-Blades CR, Horai R, Mattapallil MJ, Ajami NJ, Wong M, Petrosino JF, et al Gut microbiota as a source of a surrogate antigen that triggers autoimmunity in an immune privileged site Gut Microbes. 2017;8:59–66
43. Nakamura YK, Metea C, Karstens L, Asquith M, Gruner H, Moscibrocki C, et al Gut microbial alterations associated with protection from autoimmune uveitis
Invest Ophthalmol Vis Sci. 2016;57:3747–58
44. Heissigerova J, Seidler Stangova P, Klimova A, Svozilkova P, Hrncir T, Stepankova R, et al The microbiota determines susceptibility to experimental autoimmune uveoretinitis J Immunol Res. 2016;2016:5065703
45. Lin P. Importance of the intestinal microbiota in ocular inflammatory diseases: A review Clin Exp Ophthalmol. 2019;47:418–22
46. Nakamura YK, Janowitz C, Metea C, Asquith M, Karstens L, Rosenbaum JT, et al Short chain fatty acids ameliorate immune-mediated uveitis
partially by altering migration of lymphocytes from the intestine Sci Rep. 2017;7:11745
47. Nayyar A, Gindina S, Barron A, Hu Y, Danias J. Do epigenetic changes caused by commensal microbiota contribute to development of ocular disease
. A review of evidence? Hum Genomics. 2020;14:11
48. Qiu Y, Zhu Y, Yu H, Zhou C, Kijlstra A, Yang P. Dynamic DNA methylation changes of Tbx21 and Rorc during experimental autoimmune uveitis
in mice Mediators Inflamm. 2018;2018:9129163
49. Verhagen FH, Bekker CP, Rossato M, Hiddingh S, de Vries L, Devaprasad A, et al A disease-associated microRNA cluster links inflammatory pathways and an altered composition of leukocyte subsets to noninfectious uveitis
Invest Ophthalmol Vis Sci. 2018;59:878–88
50. Fisher K, Phillips C. The ecology, epidemiology and virulence of Enterococcus Microbiology. 2009;155:1749–57
51. Lukiw WJ. Bacteroides fragilis
lipopolysaccharide and inflammatory signaling in Alzheimer's disease Front Microbiol. 2016;7:1544
52. Hatziioanou D, Gherghisan-Filip C, Saalbach G, Horn N, Wegmann U, Duncan SH, et al Discovery of a novel antibiotic nisin O from Blautia obeum A2-162, isolated from the human gastrointestinal tract Microbiology. 2017;163:1292–305
53. Andriessen EMMA, Wilson AM, Mawambo G, Dejda A, Miloudi K, Sennlaub F, et al Gut microbiota influences pathological angiogenesis in obesity-driven choroidal neovascularization EMBO Mol Med. 2016;8:1366–79
54. Lin P The role of the intestinal microbiome in ocular inflammatory disease Curr Opin Ophthalmol. 2018;29:261–6
55. Micklisch S, Lin Y, Jacob S, Karlstetter M, Dannhausen K, Dasari P, et al Age-related macular degeneration
associated polymorphism rs10490924 in ARMS2 results in deficiency of a complement activator J Neuroinflammation. 2017;14:4
56. Kiang L, McClintic S, Saleh M, Metea C, Mitio K, Martin TM, et al The gut microbiome
in advanced age-related macular degeneration
Invest Ophthalmol Vis Sci. 2017;58:5739
57. Desmettre TJ. Epigenetics in age-related macular degeneration
(AMD) J Fr Ophtalmol. 2018;41:e407–15
58. Gemenetzi M, Lotery AJ. The role of epigenetics in age-related macular degeneration
59. Pelzel HR, Schlamp CL, Nickells RW. Histone H4 deacetylation plays a critical role in early gene silencing during neuronal apoptosis BMC Neurosci. 2010;11:62
60. Ozkan J, Nielsen S, Diez-Vives C, Coroneo M, Thomas T, Willcox M. Temporal stability and composition of the ocular surface microbiome Sci Rep. 2017;7:9880
61. Dong Q, Brulc JM, Iovieno A, Bates B, Garoutte A, Miller D, et al Diversity of bacteria at healthy human conjunctiva Invest Ophthalmol Vis Sci. 2011;52:5408–13
62. Shin H, Price K, Albert L, Dodick J, Park L, Dominguez-Bello MG. Changes in the eye microbiota associated with contact lens wearing MBio. 2016;7:e00198
63. Doan T, Akileswaran L, Andersen D, Johnson B, Ko N, Shrestha A, et al Paucibacterial microbiome and resident DNA virome of the healthy conjunctiva Invest Ophthalmol Vis Sci. 2016;57:5116–26
64. Zhou Y, Holland MJ, Makalo P, Joof H, Roberts CH, Mabey DC, et al The conjunctival microbiome in health and trachomatous disease: A case control study Genome Med. 2014;6:99
65. Pineda M de L, Thompson SF, Summers K, de Leon F, Pope J, Reid G. A randomized, double-blinded, placebo-controlled pilot study of probiotics in active rheumatoid arthritis Med Sci Monit. 2011;17:CR347–54
66. Wieërs G, Belkhir L, Enaud R, Leclercq S, Philippart de Foy J-M, Dequenne I, et al How probiotics affect the microbiota Front Cell Infect Microbiol. 2020;9:454
67. Lovieno A, Lambiase A, Sacchetti M, Stampachiacchiere B, Micera A, Bonini S. Preliminary evidence of the efficacy of probiotic eye-drop treatment in patients with vernal keratoconjunctivitis Graefes Arch Clin Exp Ophthalmol. 2008;246:435–41
68. Damman CJ, Miller SI, Surawicz CM, Zisman TL. The microbiome and inflammatory bowel disease: Is there a therapeutic role for fecal microbiota transplantation? Am J Gastroenterol. 2012;107:1452–9
69. Sandhya P, Debashish D, Disha , Vinod S. Does the buck stop with the bugs. An overview of microbial dysbiosis
in rheumatoid arthritis? Int J Rheum Dis. 2016;19:8–20