Disease
Microbiota ☳
Metabolome
Factor
Lachnospiraceae ⇒ Lachnospira {10000584}
Record Keys
Parent:
Definition: Lachnospira
Details
Initialisation date: [ ]
Meta Information
Rank:
Domain:
Zone: [ ]
Enzyme: [ ]
Function: [ ]
Notes: Shared Reference Notes
[1.1 ] [#Diabetes Type 2 ] Lachnospira contribute to diabetes in obese mice and is enriched in obese children
[1.2 ] [#Diabetes Type 2 ] Lachnospira , #Roseburia , #Faecalibacterium and #Coprococcus genera in the T2D group.
- These genera were #Butyrate producers.
- The decrease of these genera favored #Obesity and the development of diseases.
[1.3 ] Lachnospira was the only bacterial species which had a reduced population in the neurodegenerative diseased state but had a high PS for #Butyrate formation.
Author: MetaBiomIdentifier: 10000584URL: https://www.metabiom.org/microbiota/499/lachnospiraKeywords: Microbiome, Dysbiosis, Microbiota, Organism, Bacteria
Common References
[1.1 ] Fasting alters the gut microbiome reducing blood pressure and body weight in metabolic syndrome patients 80001869 ]
[1.2 ] Variation of butyrate production in the gut microbiome in type 2 diabetes patients 80002763 ]
[1.3 ] Comparative in-silico analysis of microbial dysbiosis discern potential metabolic link in neurodegenerative diseases 80002870 ]
[1.4 ] Disturbance of trace element and gut microbiota profiles as indicators of autism spectrum disorder: a pilot study of Chinese children 80000909 ]
[1.5 ] Comparison of the diversity of the vaginal microbiota in HIV-infected and uninfected women with and without bacterial vaginosis. 80000370 ]
[1.6 ] Analysis of gut microbiota in patients with cerebral autosomal dominant arteriophathy with subcortical infarcts and leukoencephalopathy (CADASIL) 80001282 ]
[1.7 ] Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma 80000859 ]
[1.8 ] Global and deep molecular analysis of microbiota signatures in fecal samples from patients with irritable bowel syndrome. 80000294 ]
[1.9 ] Alteration of the gut microbiota associated with childhood obesity by 16S rRNA gene sequencing 80001400 ]
[1.10 ] Gut microbiota differs between parkinson’s disease patients and healthy controls in northeast China 80001147 ]
[1.11 ] Distinct microbiome in pouchitis compared to healthy pouches in ulcerative colitis and familial adenomatous polyposis. 80000242 ]
[1.12 ] Characterization of intestinal microbiota in ulcerative colitis patients with and without primary sclerosing cholangitis 80000753 ]
[1.13 ] Analysis of endoscopic brush samples identified mucosa-associated dysbiosis in inflammatory bowel disease 80000679 ]
[1.14 ] Association study of gut flora in Wilson’s disease through high-throughput sequencing 80000863 ]
[1.15 ] Inflammatory skin is associated with changes in the skin microbiota composition on the back of severe acne patients 80001127 ]
[1.16 ] Alterations in the gut microbiota of patients with acquired immune deficiency syndrome 80000714 ]
[1.17 ] Temporal and long-term gut microbiota variation in allergic disease: a prospective study from infancy to school age 80001034 ]
[1.18 ] Fecal microbiota in patients with ankylosing spondylitis: correlation with dietary factors and disease activity 80001054 ]
[1.19 ] Early infancy microbial and metabolic alterations affect risk of childhood asthma 80000526 ]
[1.20 ] Characterization of intestinal microbiota in alcoholic patients with and without alcoholic hepatitis or chronic alcoholic pancreatitis 80000689 ]
[1.21 ] Altered gut microbiota and microbial biomarkers associated with chronic kidney disease 80000867 ]
[1.22 ] Characterization of fecal microbial communities in patients with liver cirrhosis 80000282 ]
[1.23 ] Composition of gut microbiota in patients with toxigenic Clostridioides (Clostridium) difficile: Comparison between subgroups according to clinical criteria and toxin gene load 80001022 ]
[1.24 ] Human intestinal lumen and mucosa-associated microbiota in patients with colorectal cancer 80000305 ]
[1.25 ] Dysbiosis signatures of gut microbiota in coronary artery disease 80000879 ]
[1.26 ] Reduced abundance of butyrate-producing bacteria species in the fecal microbial community in Crohn’s Disease. 80000250 ]
[1.27 ] Inflammation-related differences in mucosa-associated microbiota and intestinal barrier function in colonic Crohn’s disease 80000896 ]
[1.28 ] Imbalance of fecal microbiota at newly diagnosed type 1 diabetes in chinese children 80000417 ]
[1.29 ] Dysbiosis of urinary microbiota is positively correlated with type 2 diabetes mellitus 80000429 ]
[1.30 ] Intestinal microbiota is altered in patients with gastric cancer from Shanxi Province, China 80001028 ]
[1.31 ] Altered gut microbiota profile in patients with generalized anxiety disorder 80001066 ]
[1.32 ] HIV infection is associated with compositional and functional shifts in the rectal mucosal microbiota 80000337 ]
[1.33 ] A compositional look at the human gastrointestinal microbiome and immune activation parameters in HIV infected subjects. 80000332 ]
[1.34 ] Gut dysbiosis-influence on amygdala-based functional activity in patients with end stage renal disease: a preliminary study 80001412 ]
[1.35 ] Characterization of gut microbiota, bile acid metabolism, and cytokines in intrahepatic cholangiocarcinoma 80001173 ]
[1.36 ] Evidence of altered mucosa-associated and fecal microbiota composition in patients with irritable bowel syndrome 80001337 ]
[1.37 ] Alterations in the gut bacterial microbiome in fungal keratitis patients 80000884 ]
[1.38 ] Gut microbiota differs in composition and functionality between children with type 1 diabetes and MODY2 and healthy control subjects: a case-control study 80000812 ]
[1.39 ] A comparative study of the gut microbiota in immune-mediated inflammatory diseases - does a common dysbiosis exist? 80000942 ]
[1.40 ] Gut microbiota and endothelial dysfunction markers in obese Mexican children and adolescents 80001006 ]
[1.41 ] Gut microbiota in patients with Parkinson’s disease in southern China 80000788 ]
[1.42 ] Inflammatory microbes and genes as potential biomarkers of Parkinson’s disease 80002678 ]
[1.43 ] The composition of the gut microbiome differs among community dwelling older people with good and poor appetite 80001672 ]
[1.44 ] Posttraumatic stress disorder is associated with altered gut microbiota that modulates cognitive performance in veterans with cirrhosis 80001243 ]
[1.45 ] Gut dysbiosis induces the development of pre-eclampsia through bacterial translocation 80001256 ]
[1.46 ] The gut microbiota, bile acids and their correlation in primary sclerosing cholangitis associated with inflammatory bowel disease 80000678 ]
[1.47 ] Psoriatic patients have a distinct structural and functional fecal microbiota compared with controls 80001222 ]
[1.48 ] Alternation of gut microbiota in patients with pulmonary tuberculosis 80000851 ]
[1.49 ] Alterations in intestinal microbiota diversity, composition, and function in patients with sarcopenia 80002671 ]
[1.50 ] Alterations of gut microbiome in the patients with severe fever with thrombocytopenia syndrome 80000848 ]
[1.51 ] Fecal microbiota signatures of adult patients with different types of short bowel syndrome 80000662 ]
[1.52 ] Dysbiosis in the gut bacterial microbiome of patients with Uveitis, an inflammatory disease of the eye 80000796 ]
[1.53 ] Rethinking healthy eating in light of the gut microbiome 80002441 ]
[1.54 ] Almond Consumption and Processing Affects the Composition of the Gastrointestinal Microbiota of Healthy Adult Men and Women: A Randomized Controlled Trial 80002626 ]
[1.55 ] Diet, obesity, and the gut microbiome as determinants modulating metabolic outcomes in a non-human primate model 80001840 ]
[1.56 ] Gut microbiota diversity and C-Reactive Protein are predictors of disease severity in COVID-19 patients 80001803 ]
