Disease
Microbiota ☳
Metabolome
Factor
Bacteroides ⇒ Bacteroidaceae {10000109}
Record Keys
Organism: Bacteroides
Parent:
Details
Initialisation date: 2020-09-06
Meta Information
Rank:
Domain:
Zone: [ ]
Enzyme: [ ]
Function: Anti fibrosis
Notes: Shared Reference Notes
[1.155 ] Bacteroides .
- Retaining a high Bacteroides dominance into older age, or having a low gut microbiome uniqueness measure, predicts decreased survival in a 4-year follow-up.
[1.156 ] #Major depressive disorder showed a statistically significant overrepresentation of Bacteroides enterotype 2 compared to controls.
[1.123 ] Bacteroides is a common member of the gut microbiome and plays important, symbiotic roles, such as modulation and regulation of the immune system, maintenance of intestinal integrity, and carbohydrate digestion.
- Bacteroides organisms are major producers of short-chain fatty acids, which have been shown to support host immune homeostasis both locally and systemically
- γ-aminobutyric acid (#GABA ) production by human-derived Bacteroides is widespread, and there is a correlation between brain signatures of depression and fecal Bacteroides levels in patients with #Major depressive disorder .
[1.157 ] [#Non-alcoholic fatty liver disease ] Bacteroides species have been reported to be protective against MAFLD
[#Steatohepatitis ] - Bacteroides was negatively associated with advanced steatosis
- Some species of Bacteroides have been associated with progression to advanced liver fibrosis
[1.158 ] Bacteroides predominate with protein and #Animal fat consumption .
[1.159 ] [#Galactooligosaccharides & modified mogrosides Sweetener ] #Bifidobacterium , Bacteroides , #Enterococcus , and #Clostridium coccoides .
- significant increase in production of SCFA in mMV-GOS at 10 h of fermentation, mainly seen in #Acetate and #Propionate production
[1.160 ] [#Alzheimer’s disease ] Bacteroides and #Faecalibacterium may improve cognitive levels
[1.101 ] #Oscillospira and #Coprococcus in the cecum, as well as #Faecalibacterium prausnitzii and members of the genus Bacteroides in the ileum > negatively correlated with #Fibrosis .
[1.84 ] [#Carbohydrate diet , #High protein / animal fat diets ] Bacteroides , whereas diets high in carbohydrates are associated with a high prevalence of #Prevotella
[#Chronic fatigue syndrome ] - Several studies reported a reduction of a butyrate-producing Bacteroides species in ME/CFS
[1.145 ] [#Resistant starch ] Bacteroides or #Prevotella transcripts.
[1.154 ] #Butyrate inhibits gut microbiome Bacteroides
- #Butyrate inhibition depends on which #Sugar a given Bacteroides strain uses
- Core genome variation in Acyl-CoA enzymes mediates #Butyrate defense
- Each Bacteroides unique fitness landscape unpredictable by interaction of ecosystem parts
[1.161 ] #Firmicutes and Bacteroides are the main #Butyrate producing phyla
[1.25 ] [#Diabetes Type 1 ] [#Lipopolysaccharide ] Bacteroides MAGs (metagenome-assembled genomes) and #Sulfate reduction in #Anaerostipes MAGs as functional signatures of MAGs with positive IA-association (Islets autoantibody)
[#Diabetes Type 1 ] [#Lipopolysaccharide ] - LPS produced by the Bacteroides species in gut microbiota has immunoinhibitory properties that may impede early immune education and contribute to the development of T1D.
[1.128 ] #Prostate cancer patients, while others (HBD2 and 3) were considerably increased.
- Abundance of #Staphylococcus , #Corynebacterium and #Oxyphotobacteria genera was significantly higher, the abundance of #Faecalibacterium and Bacteroides genera were significantly lower in prostate tumor samples compared to non-tumor samples.
- Bacteroides , Parabacteroides and #Faecalibacterium abundance gradually decreased with the combined increase in HBD2 and HBD3.
- Higher #Corynebacterium and #Staphylococcus abundances were measured together with higher HBD2 and HBD3 urinary levels.
[1.56 ] [#Parkinson’s Disease ] Bacteroides (Gram-negative bacteria present in the gut microbiome) is associated with the severity of motor symptoms in PD
[1.40 ] [#Irritable bowel syndrome ] #Methanobacteriales and #Prevotella enterotype, and abundance of Bacteroides enterotype.
- Bacteroides were found to be increased in patients with IBS-D and were associated with mucosal low-grade inflammation.
[1.162 ] [#Animal fat consumption ] Bacteroides -dominated enterotype was present
[1.24 ] [#Colitis , #Diabetes Type 1 ] Bacteroides is almost identical to a protein expressed by insulin-producing cells in the pancreas.
- The CD8 lymphocytes can mistakenly attack the pancreatic cells and cause type 1 diabetes.
Author: MetaBiomIdentifier: 10000109URL: https://www.metabiom.org/microbiota/8/bacteroidesKeywords: Microbiome, Dysbiosis, Microbiota, Organism, Bacteria
Common References
[1.1 ] Skin microbiome differences relate to the grade of acne vulgaris 80001179 ]
[1.2 ] Persistent gut microbial dysbiosis in children with acute lymphoblastic leukemia (ALL) during chemotherapy 80001424 ]
[1.3 ] Gut microbiota compositional and functional fingerprint in patients with alcohol use disorder and alcohol-associated liver disease 80001386 ]
[1.4 ] Gut microbiota alterations in Alzheimer’s Disease 80000621 ]
[1.5 ] Stratification of the Gut Microbiota Composition Landscape across the Alzheimer’s Disease Continuum in a Turkish Cohort 80002303 ]
[1.6 ] Alterations in the human gut microbiome in anti-N-methyl-D-aspartate receptor encephalitis 80001157 ]
[1.7 ] Lower airway microbiota and mycobiota in children with sever asthma 80001065 ]
[1.8 ] Gut microbiota profile in children affected by atopic dermatitis and evaluation of intestinal persistence of a probiotic mixture 80000949 ]
[1.9 ] Helicobacter pylori infection aggravates dysbiosis of gut microbiome in children with gastritis 80001277 ]
[1.10 ] Differences in fecal microbial metabolites and microbiota of children with autism spectrum disorders 80000798 ]
[1.11 ] Disturbance of trace element and gut microbiota profiles as indicators of autism spectrum disorder: a pilot study of Chinese children 80000909 ]
[1.12 ] Gut microbiota changes in patients with bipolar depression 80001106 ]
[1.13 ] Duodenal and faecal microbiota of celiac children: molecular, phenotype and metabolome characterization. 80000529 ]
[1.14 ] Imbalance in the composition of the duodenal microbiota in children with coeliac disease 80000827 ]
[1.15 ] Alteration of the gut microbiota in Chinese population with chronic kidney disease 80000616 ]
[1.16 ] Gut microbiome patterns depending on children’s psychosocial stress: reports versus biomarkers 80001328 ]
[1.17 ] Alterations of Bacteroides sp., Neisseria sp., Actinomyces sp., and Streptococcus sp. populations in the oropharyngeal microbiome are associated with liver cirrhosis and pneumonia. 80000609 ]
[1.18 ] Hepatocellular carcinoma is associated with gut microbiota profile and inflammation in nonalcoholic fatty liver disease 80000791 ]
[1.19 ] The gut microbiota in collagenous colitis shares characteristics with inflammatory bowel diseas-associated dysbiosis 80001117 ]
[1.20 ] Microbial dysbiosis in colorectal cancer (CRC) patients 80000252 ]
[1.21 ] Microbiota disbiosis is associated with colorectal cancer. 80000302 ]
[1.22 ] The intestinal microbiota associated with cardiac valve calcification differs from that of coronary artery disease 80000915 ]
[1.23 ] The altered gut microbiota in adults with cystic fibrosis 80000425 ]
[1.24 ] A Gut Microbial Mimic that Hijacks Diabetogenic
Autoreactivity to Suppress Colitis 80000054 ]
[1.25 ] Islet autoantibody seroconversion in type-1 diabetes is associated with metagenome-assembled genomes in infant gut microbiomes 80002455 ]
[1.26 ] Gut microbiota in children with type 1 diabetes differs from that in healthy children: a case-control study 80000311 ]
[1.27 ] How ocular surface microbiota debuts in type 2 diabetes mellitus 80001133 ]
[1.28 ] Understanding the gut-kidney axis among biopsy-proven diabetic nephropathy, type 2 diabetes mellitus and healthy controls: an analysis of the gut microbiota composition 80001227 ]
[1.29 ] Identification of an intestinal microbiota signature associated with hospitalized patients with diarrhea 80001053 ]
[1.30 ] Potential contribution of the uterine microbiome in the development of endometrial cancer. 80000482 ]
[1.31 ] Alteration in the gastric microbiota and its restoration by probiotics in patients with functional dyspepsia 80000622 ]
[1.32 ] Detection of microbial 16S rRNA gene in the serum of patients with gastric cancer 80001153 ]
[1.33 ] Association between fecal microbiota and generalized anxiety disorder: severity and early treatment response 80001071 ]
[1.34 ] Microbiome and its relation to gestational diabetes 80000966 ]
[1.35 ] Altered gut microbiota in Chinese children with autism spectrum disorders_DUBLICATE 80000977 ]
[1.36 ] Gut microbiota dysbiosis in patients with hepatitis B virus-induced chronic liver disease covering chronic hepatitis, liver cirrhosis and hepatocellular carcinoma 80001388 ]
[1.37 ] Specificities of the fecal microbiota in inflammatory bowel disease 80000283 ]
[1.38 ] Alterations of microbiota in urine from women with interstitial cystitis 80000409 ]
[1.39 ] Fecal microbiota in patients with irritable bowel syndrome compared with healthy controls using real-time polymerase chain reaction: an evidence of dysbiosis. 80000236 ]
[1.40 ] Gut microbiota signatures and modulation in irritable bowel syndrome 80002578 ]
[1.41 ] Higher Intakes of Potassium and Magnesium, but Not Lower Sodium, Reduce Cardiovascular Risk in the Framingham Offspring Study 80002345 ]
[1.42 ] Structural alterations of faecal and mucosa-associated bacterial communities in irritable bowel syndrome 80000629 ]
[1.43 ] Evidence for a distinct gut microbiome in kidney stone formers compared to non-stone formers 80000544 ]
[1.44 ] Specific gut microbiome signature predicts the early-stage lung cancer 80001413 ]
[1.45 ] Landscapes of bacterial and metabolic signatures and their interaction in major depressive disorders 80001465 ]
[1.46 ] Menopause Is Associated with an Altered Gut Microbiome and Estrobolome, with Implications for Adverse Cardiometabolic Risk in the Hispanic Community Health Study/Study of Latinos 80002528 ]
[1.47 ] Gut microbiota in early pediatric multiple sclerosis: a case-control study 80000269 ]
[1.48 ] Fecal and blood microbial 16S rRNA gene alteration in Chinese patients with multiple system atrophy and its subtypes 80001176 ]
[1.49 ] Fecal microbiota profile in a group of myasthenia gravis patients 80000824 ]
[1.50 ] Gut microbiome analysis in Neuromyelitis Optica reveals overabundance of Clostridium perfringens 80000694 ]
[1.51 ] The severity of Nonalcoholic Fatty Liver Disease is associated with gut dysbiosis and shift in the metabolic function of the gut microbiota 80000625 ]
[1.52 ] Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities 80001220 ]
[1.53 ] Gut microbiota composition and bone mineral loss-epidemiologic evidence from individuals in Wuhan, China 80001182 ]
[1.54 ] Identification and characterization of blood and neutrophil-associated microbiomes in patients with severe acute pancreatitis using next-generation sequencing 80000703 ]
[1.55 ] Colonic bacterial composition in Parkinson’s Disease 80000275 ]
[1.56 ] Nutrition and Gut–Brain Pathways Impacting the Onset of Parkinson’s Disease 80002546 ]
[1.57 ] Compositional and functional features of the female premenopausal and postmenopausal gut microbiota 80001233 ]
[1.58 ] Breast tissue, oral and urinary microbiomes in breast cancer 80000875 ]
[1.59 ] Preterm infant meconium microbiota transplant induces growth failure, inflammatory activation, and metabolic disturbances in germ-free mice 80002178 ]
[1.60 ] The cutaneous microbiome in hospitalized patients with pressure ulcers 80001347 ]
[1.61 ] Consistent alterations in faecal microbiomes of patients with primary sclerosing cholangitis independent of associated colitis 80001214 ]
[1.62 ] The Akkermansia muciniphila is a gut microbiota signature in psoriasis 80000744 ]
[1.63 ] Tissue-Associated Bacterial Alterations in Rectal Carcinoma Patients Revealed by 16S rRNA Community Profiling 80000432 ]
[1.64 ] Association between the oral microbiome and brain resting state connectivity in smokers 80001075 ]
[1.65 ] Gut microbiota dysbiosis in male patients with chronic traumatic complete spinal cord injury 80000938 ]
[1.66 ] Comparison of the ocular microbiome between chronic Stevens-Johnson syndrome patients and healthy subjects 80001339 ]
[1.67 ] Characteristics of fecal and mucosa-associated microbiota in Chinese patients with inflammatory bowel disease 80000665 ]
[1.68 ] Alterations of mucosal microbiota in the colon of patients with inflammatory bowel disease revealed by real time polymerase chain reaction amplification of 16S ribosomal ribonucleic acid. 80000597 ]
[1.69 ] The microbiome in urogenital schistosomiasis and induced bladder pathologies 80001012 ]
[1.70 ] Association study of gut flora in Wilson’s disease through high-throughput sequencing 80000863 ]
[1.71 ] Subgingival dysbiosis in smoker and non-smoker patients with chronic periodontitis 80000444 ]
[1.72 ] Temporal and long-term gut microbiota variation in allergic disease: a prospective study from infancy to school age 80001034 ]
[1.73 ] Mild cognitive impairment has similar alterations as Alzheimer’s disease in gut microbiota 80001081 ]
[1.74 ] Intestinal microbiota composition in patients with amyotrophic lateral sclerosis: establishment of bacterial and archaeal communities analyses 80001111 ]
[1.75 ] Sex-specific associations of infants’ gut microbiome with arsenic exposure in a US population 80000820 ]
[1.76 ] The gut microbiome in atherosclerotic cardiovascular disease 80000614 ]
[1.77 ] Associations between infant fungal and bacterial dysbiosis and childhood atopic wheeze in a nonindustrialized setting 80000733 ]
[1.78 ] Oral microbiota in autoimmune polyendocrine syndrome type 1 80000749 ]
[1.79 ] Gut microbial profile in biliary atresia: a case-control study 80001225 ]
[1.80 ] Profiling the urinary microbiota in male patients with bladder cancer in China_DUBLICATE 80001128 ]
[1.81 ] The fecal, oral, and skin microbiota of children with Chagas disease treated with benznidazole 80001023 ]
[1.82 ] Alterations of gut microbiota in cholestatic infants and their correlation with hepatic function 80000981 ]
[1.83 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.84 ] The Gut Microbiome in Myalgic Encephalomyelitis (ME)/Chronic Fatigue Syndrome (CFS) 80002273 ]
[1.85 ] Dysbiosis of the gut microbiome is associated with CKD5 and correlated with clinical indices of the disease: a case-controlled study 80001101 ]
[1.86 ] Impact of cigarette smoking on the middle meatus microbiome in health and chronic rhinosinusitis 80000887 ]
[1.87 ] Gut microbiome and serum metabolome analyses identify unsaturated fatty acids and butanoate metabolism induced by gut microbiota in patients with chronic spontaneous urticaria 80001363 ]
[1.88 ] Intestinal lesions are associated with altered intestinal microbiome and are more frequent in children and young adults with cystic fibrosis and cirrhosis 80000573 ]
[1.89 ] Altered gut microbiota composition in subjects infected with Clonorchis sinensis 80000846 ]
[1.90 ] Gut microbiota composition and Clostridium difficile infection in hospitalized elderly individuals: a metagenomic study 80001033 ]
[1.91 ] Molecular characterization of mucosal adherent bacteria and associations with colorectal adenomas 80000590 ]
[1.92 ] The human gut microbiome as a screening tool for colorectal cancer 80000706 ]
[1.93 ] Gut mucosal microbiome across stages of colorectal carcinogenesis 80000724 ]
[1.94 ] Characterization of gut microbiota profiles in coronary artery disease patients using data mining analysis of terminal restriction fragment length polymorphism: gut microbiota could be a diagnostic marker of coronary artery disease 80000400 ]
[1.95 ] Mucosa-attached bacterial community in Crohn’s Disease coheres with the Clinical Disease Activity Index 80000447 ]
[1.96 ] Reduced abundance of butyrate-producing bacteria species in the fecal microbial community in Crohn’s Disease. 80000250 ]
[1.97 ] Fungal dysbiosis in mucosa-associated microbiota of Crohn’s disease patients 80000760 ]
[1.98 ] Molecular-phylogenetic characterization of the microbiota in ulcerated and non-ulcerated regions in the patients with Crohn’s Disease 80000576 ]
[1.99 ] Altered stool microbiota of infants with cystic fibrosis shows a reduction in genera associated with immune programming from birth 80001174 ]
[1.100 ] Gut microbiome and serum metabolome analyses identify molecular biomarkers and altered glutamate metabolism in fibromyalgia 80001184 ]
[1.101 ] Gut Microbiome and Organ Fibrosis 80002265 ]
[1.102 ] Gallstone Disease and Bacterial Metabolic Performance of Gut Microbiota in Middle-Aged and Older Patients 80002433 ]
[1.103 ] Gut microbiota shifts in patients with gastric cancer in perioperative period 80001110 ]
[1.104 ] Reduced anti-inflammatory gut microbiota are associated with depression and anhedonia 80001308 ]
[1.105 ] Alterations of the gut microbiota in Hashimoto’s Thyroiditis patients 80000751 ]
[1.106 ] Gut microbial dysbiosis is associated with altered hepatic functions and serum metabolites in chronic hepatitis B patients 80000704 ]
[1.107 ] Effects of HIV viremia on the gastrointestinal microbiome of young MSM 80000959 ]
[1.108 ] A compositional look at the human gastrointestinal microbiome and immune activation parameters in HIV infected subjects. 80000332 ]
[1.109 ] An altered intestinal mucosal microbiome in HIV-1 infection is associated with mucosal and systemic immune activation and endotoxemia. 80000343 ]
[1.110 ] Evidence of dysbiosis in the intestinal microbial ecosystem of children and adolescents with primary hyperlipidemia and the potential role of regular hazelnut intake 80000699 ]
[1.111 ] The gut microbiome in epilepsy 80001252 ]
[1.112 ] Altered fecal bacterial composition correlates with disease activity in inflammatory bowel disease and the extent of IL8 induction 80001085 ]
[1.113 ] An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota 80000591 ]
[1.114 ] Mucosal microbiome profiles polygenic irritable bowel syndrome in Mestizo individuals 80001366 ]
[1.115 ] Dysbiosis of gut microbiota and short-chain fatty acids in acute ischemic stroke and the subsequent risk for poor functional outcomes 80001423 ]
[1.116 ] Altered fecal microbiota composition in patients with major depressive disorder. 80000265 ]
[1.117 ] Alterations of the gut microbiota in borderline personality disorder 80002445 ]
[1.118 ] Conjuctival dysbiosis in mucosa-associated lyphoid tissue lymphoma 80001109 ]
[1.119 ] Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance 80000685 ]
[1.120 ] Differential adaptation of human gut microbiota to bariatric surgery-induced weight loss 80001231 ]
[1.121 ] Dysbiosis of saliva microbiome in patients with oral lichen planus 80001332 ]
[1.122 ] Dysbiosis of gut microbiota associated with clinical parameters in polycistic ovary syndrome 80000443 ]
[1.123 ] A Distinct Microbiome Signature in Posttreatment Lyme Disease Patients 80001737 ]
[1.124 ] Distinct microbiome in pouchitis compared to healthy pouches in ulcerative colitis and familial adenomatous polyposis. 80000242 ]
[1.125 ] Intestinal microbiota is different in women with preterm birth: results from terminal restriction fragment length polymorphism analysis. 80000402 ]
[1.126 ] Comprehensive analysis of serum and fecal bile acid profiles and interaction with gut microbiota in primary biliary cholangitis 80000962 ]
[1.127 ] A pilot study of fecal bile acid and microbiota profiles in inflammatory bowel disease and primary sclerosing cholangitis 80000964 ]
[1.128 ] Bladder Tissue Microbiome Composition in Patients of Bladder Cancer or Benign Prostatic Hyperplasia and Related Human Beta Defensin Levels 80002488 ]
[1.129 ] Gut microbial composition in patients with psoriasis 80000690 ]
[1.130 ] Gut microbial dysbiosis is associated with development and progression of radiation enteritis during pelvic radiotherapy 80001170 ]
[1.131 ] Altered gut microbiota in Rett syndrome 80000534 ]
[1.132 ] Variations in oral microbiome profiles in rheumatoid arthritis and osteoarthritis with potential biomarkers for arthritis screening 80000809 ]
[1.133 ] Malassezia and Staphylococcus dominate scalp microbiome for seborrheic dermatitis 80001287 ]
[1.134 ] Fecal microbiota signatures of adult patients with different types of short bowel syndrome 80000662 ]
[1.135 ] Alterations in the gut microbiota of patients with silica-induced pulmonary fibrosis 80000939 ]
[1.136 ] Altered mucosal microbiome diversity and disease severity in Sjögren Syndrome 80000347 ]
[1.137 ] Alterations in the gut microbiota and metabolite profiles of thyroid carcinoma patients 80000975 ]
[1.138 ] Dysbiosis of gut microbiota with reduced tremethylamine-N-oxide level in patients with large-artery atherosclerotic stroke or transient ischemic attack._DUBLICATE 80000456 ]
[1.139 ] Terminal Restriction Fragment length Polymorphism Analysis of the Gut Microbiota Profiles of Pediatric Patients with Inflammatory Bowel Disease 80000619 ]
[1.140 ] Dysbiosis in the gut bacterial microbiome of patients with Uveitis, an inflammatory disease of the eye 80000796 ]
[1.141 ] Faecal microbial dysbiosis in children with Wiskott-Aldrich syndrome 80001296 ]
[1.142 ] Long-term daily high-protein, drained yoghurt consumption alters abundance of selected functional groups of the human gut microbiota and fecal short-chain fatty acid profiles in a cohort of overweight and obese women 80002459 ]
[1.143 ] Gut microbiota associations with diet in irritable bowel syndrome and the effect of low FODMAP diet and probiotics 80001454 ]
[1.144 ] Maternal exposures and the infant gut microbiome: a systematic review with meta-analysis 80001848 ]
[1.145 ] Resistant starch type 2 and whole grain maize flours enrich different intestinal bacteria and metatranscriptomes 80002313 ]
[1.146 ] Pharmacomicrobiomics: exploiting the drug-microbiota interactions in anticancer therapies 80000217 ]
[1.147 ] Effects of Heat Stress on Gut Microbiome in Rats 80002087 ]
[1.148 ] Drinking Water Source and Intake Are Associated with Distinct Gut Microbiota Signatures in US and UK Populations 80002257 ]
[1.149 ] A complete guide to human microbiomes: Body niches, transmission, development, dysbiosis, and restoration 80002487 ]
[1.150 ] Beneficial reconstitution of gut microbiota and control of alpha-synuclein and curli-amyloids-producing enterobacteria, by beta 1,3-1,6 glucans in a clinical pilot study of autism and potentials in neurodegenerative diseases 80002371 ]
[1.151 ] Family SES Is Associated with the Gut Microbiome in Infants and Children 80002079 ]
[1.152 ] Gut Microbiota-Derived Tryptophan Metabolites Maintain Gut and Systemic Homeostasis 80002575 ]
[1.153 ] [2022] [Study] [80002279 ]
[1.154 ] Strain-level fitness in the gut microbiome is an emergent property of glycans and a single metabolite 80002317 ]
[1.155 ] Gut microbiome pattern reflects healthy ageing and predicts survival in humans 80001714 ]
[1.156 ] The Role of Gut Microbiota in the High-Risk Construct of Severe Mental Disorders: A Mini Review 80001729 ]
[1.157 ] Gut microbiome profiles associated with steatosis severity in metabolic associated fatty liver disease 80001824 ]
[1.158 ] Diet, obesity, and the gut microbiome as determinants modulating metabolic outcomes in a non-human primate model 80001840 ]
[1.159 ] Prebiotic Potential of a New Sweetener Based on Galactooligosaccharides and Modified Mogrosides 80001847 ]
[1.160 ] Composition of intestinal flora affects the risk relationship between Alzheimer’s disease/Parkinson’s disease and cancer 80002199 ]
[1.161 ] Role of Butyrate, a Gut Microbiota Derived Metabolite, in Cardiovascular Diseases: A comprehensive narrative review 80002402 ]
[1.162 ] Correlation between human gut microbiome and diseases 80002594 ]
