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Diabetes, Metabolic Syndrome and... 2021Dysbiosis of gut microbiota impairs the homeostasis of immune and metabolic systems. Although previous studies have revealed the correlation between gut microbiota and...
INTRODUCTION
Dysbiosis of gut microbiota impairs the homeostasis of immune and metabolic systems. Although previous studies have revealed the correlation between gut microbiota and various diseases, the function between gut microbiota and diabetic nephropathy (DN) has not been discovered distinctly. In this study, we tried to investigate the profile and function of gut microbiota in DN.
METHODS
A total of 100 people were enrolled in this study. Twenty were healthy people, 20 were diabetes patients, and 60 were DN patients. The DN patients were divided into three stages including stage III, IV, and V. We conducted taxonomic analyses in different groups. The distributions of phyla, classes, orders, families, and genera in different groups and samples were investigated. We also evaluated the correlations between clinical parameters and gut microbiota in 60 DN patients.
RESULTS
The gut microbiota in the healthy group, diabetes group, and DN group had 1764 operational taxonomic units (OTUs) in total. The healthy group had 1034 OTUs, the diabetes group had 899 OTUs, and the DN group had 1602 OTUs. The diversity of gut microbiota in the stage III DN group was smaller than that in the other groups. 24-h urinary protein was positively correlated with and , cholesterol was positively correlated with and , and estimated glomerular filtration rate was negatively correlated with group.
DISCUSSION
The gut microbiota might play an important role in the development and pathogenesis of DN. A change in gut microbiota diversity is correlated with disease progression. Some kinds of gut microbiota including , , , , and group might be detrimental factors in DN.
PubMed: 34703261
DOI: 10.2147/DMSO.S320169 -
Heliyon Sep 2023This study aims to investigate the changes in gut microbiota and metabolism of patients with chronic kidney disease (CKD) stage 1-2, as well as the potential impact of...
OBJECT
This study aims to investigate the changes in gut microbiota and metabolism of patients with chronic kidney disease (CKD) stage 1-2, as well as the potential impact of hyperuricemia (HUA) on these factors in CKD stage 1-2 patients.
METHODS
In this study, fecal samples were collected from CKD stage 1-2 without HUA patients (CKD-N group), CKD stage 1-2 with HUA patients (CKD-H group), and healthy people controls (HCs group). The samples were then subjected to the microbiome (16S rRNA gene sequencing) and metabolome (liquid chromatography-tandem mass spectrometry) analyses. The multi-omics datasets were analyzed individually and integrated for combined analysis using various bioinformatics approaches.
RESULTS
Gut microbial dysbiosis was found in CKD-N and CKD-H patients. At the phylum level, compared to HCs group, decreased but increased in CKD-H group significantly. in CKD-N group was significantly lower than HCs group. At genus level, , , and significantly changed in CKD groups. was significantly lower in CKD-H group than CKD-N group. Moreover, the fecal metabolome of CKD-N and CKD-H altered significantly. d-glutamine and d-glutamate metabolism, arginine and proline metabolism, histidine metabolism, and lysine biosynthesis were down-regulated in the CKD-N group. Phenylalanine metabolism, arginine and proline metabolism, purine metabolism, and beta-alanine metabolism were up-regulated in the CKD-H group. There was a significant difference between the two CKD groups in phenylalanine metabolism. The abundance change of , , , , and had a close correlation with differential metabolites.
CONCLUSION
The gut microbiota and metabolic status undergo significant changes in CKD patients compared to healthy people. Additionally, HUA has been found to impact the gut microbiota of CKD patients, as well as their metabolism. The close association between gut microbiota and metabolites suggests that the former plays a crucial role in metabolism.
PubMed: 37809388
DOI: 10.1016/j.heliyon.2023.e20328 -
Frontiers in Cellular and Infection... 2023Adenomyosis (AM) is a benign uterine disease characterized pathologically by the invasion of endometrial tissue into the myometrium. The pathogenesis of AM is still far...
BACKGROUND
Adenomyosis (AM) is a benign uterine disease characterized pathologically by the invasion of endometrial tissue into the myometrium. The pathogenesis of AM is still far from clear. Although the gut microbiome and metabolomics are thought to contribute to a variety of diseases, the role of them in AM has not been revealed.
OBJECTIVE
To investigate changes in the gut microbiota and derived metabolites in AM mice.
METHOD
Female ICR mice were randomly assigned to AM and control groups, and pituitary transplantation was employed to perform AM modeling. Then, the fecal samples were obtained for microbial (16S rRNA gene sequencing) and metabolomic (liquid chromatography mass spectrometry, LC-MS) analysis.
RESULT
The results of gut microbiota analysis showed that the intestinal microbiota composition of AM mice was altered. The ratio of and the relative abundance of in AM group increased compared with the control group. Sixty differential expressed metabolites were identified in intestinal metabolites, mainly involved in steroid hormone biosynthesis, cysteine and methionine metabolism, and alanine, aspartate, and glutamate metabolism. Further, correlation analysis verified that -methionine and -cystine were negatively correlated with and positively correlated with . The Pregnenolone, Androsterone glucuronide, and Testosterone glucuronide were negatively correlated with and , whereas they positively correlated with .
CONCLUSION
AM mice have a unique gut microbiome and intestinal metabolites.
Topics: Humans; Mice; Female; Animals; Gastrointestinal Microbiome; Metabolome; Adenomyosis; RNA, Ribosomal, 16S; Mice, Inbred ICR; Feces; Bacteroidetes
PubMed: 36923594
DOI: 10.3389/fcimb.2023.1075387 -
PloS One 2022Despite the growing interest in the ruminants' gastrointestinal tract (GIT) microbiomes' ability to degrade plant materials by animal husbandry and industrial sectors,...
Despite the growing interest in the ruminants' gastrointestinal tract (GIT) microbiomes' ability to degrade plant materials by animal husbandry and industrial sectors, only a few studies addressed browsing ruminants. The present work describes the taxonomic and functional profile of the bacterial and archaeal communities from five different gastrointestinal sections (rumen, omasum-abomasum, jejunum, cecum and colon) of browsing Capra hircus, by metabarcoding using 16S rRNA genes hypervariable regions. The bacterial communities across the GITs are mainly composed of Bacillota and Bacteroidota. Prevotella was the leading bacterial group found in the stomachs, Romboutsia in the jejuna, and Rikenellaceae_RC9_gut_group, Bacteroides, UCG-010_ge, UCG-005, and Alistipes in large intestines. The archaeal communities in the stomachs and jejuna revealed to be mainly composed of Methanobrevibacter, while in the large intestines its dominance is shared with Methanocorpusculum. Across the GITs, the main metabolic functions were related to carbohydrate, amino acid, and energy metabolisms. Significant differences in the composition and potential biological functions of the bacterial communities were observed among stomachs, jejuna and large intestines. In contrast, significant differences were observed among stomachs and jejuna verse large intestines for archaeal communities. Overall different regions of the GIT are occupied by different microbial communities performing distinct biological functions. A high variety of glycoside hydrolases (GHs) indispensable for degrading plant cell wall materials were predicted to be present in all the GIT sections.
Topics: Amino Acids; Animals; Archaea; Bacteria; Bacteroidetes; Carbohydrates; Gastrointestinal Microbiome; Glycoside Hydrolases; Goats; RNA, Ribosomal, 16S; Rumen
PubMed: 36251671
DOI: 10.1371/journal.pone.0276262 -
Pathogens (Basel, Switzerland) Jul 2022is an anaerobic Gram-positive and spore-forming bacterium. The majority of strains produce two toxins, A and B, associated with the development of acute diarrhea... (Review)
Review
is an anaerobic Gram-positive and spore-forming bacterium. The majority of strains produce two toxins, A and B, associated with the development of acute diarrhea and/or colitis. In this review, two situations are distinguished: infection (CDI) and asymptomatic colonization (AC). The main objective of this review is to explore the available data related to the link between the gut microbiota and the development of CDI. The secondary aim is to provide more information on why some people colonized with toxigenic develop an infection while others show no signs of disease. Several factors, such as the use of antibiotics and proton pump inhibitors, hospitalization, and age, predispose individuals to colonization and/or infection. The gut microbiota of people with AC showed decreased abundances of , , , , , , and . The gut microbiota of people suffering from CDI showed reductions in the abundances of , , spp., spp., spp., spp., spp., spp., spp. and spp., in comparison with healthy people. Furthermore, increases in the abundances of and were associated with infection.
PubMed: 35890026
DOI: 10.3390/pathogens11070781 -
Chinese Medical Journal Jan 2024Links between alterations in gut microbiota composition and amyotrophic lateral sclerosis (ALS) have previously been reported. This study aimed to examine the microbiota...
BACKGROUND
Links between alterations in gut microbiota composition and amyotrophic lateral sclerosis (ALS) have previously been reported. This study aimed to examine the microbiota in the nasal cavity of ALS.
METHODS
Sixty-six ALS patients and 40 healthy caregivers who live in close proximity with patients were enrolled. High throughput metagenomic sequencing of the 16S ribosomal deoxyribonucleic acid (rDNA) gene V3-V4 region of nasal microbiota was used to characterize the alpha and beta diversity and relative abundance of bacterial taxa, predict function, and conduct correlation analysis between specific taxa and clinical features.
RESULTS
The nasal microbiome of ALS patients showed lower alpha diversity than that of corresponding healthy family members. Genera Gaiella , Sphingomonas , Polaribacter _1, Lachnospiraceae _NK4A136_group, Klebsiella , and Alistipes were differentially enriched in ALS patients compared to controls. Nasal microbiota composition in ALS patients significantly differed from that in healthy subjects (unweighted UniFrac P = 0.001), while Linear discriminant analysis Effect Size (LEfSe) analysis indicated that Bacteroidetes and Firmicutes dominated healthy nasal communities at the phylum level, whereas Actinobacteria was the predominant phylum and Thermoleophilia was the predominant class in ALS patients. Genus Faecalibacterium and Alistipes were positively correlated with ALS functional rating scale revised (ALSFRS-R; rs = 0.349, P = 0.020 and rs = 0.393, P = 0.008), while Prevotella -9 and Bacteroides operational taxonomic units (OTUs) were positively associated with lung function (FVC) in ALS patients ( rs = 0.304, P = 0.045, and rs = 0.300, P = 0.048, respectively). Prevotella -1 was positively correlated with white blood cell counts (WBC, rs = 0.347, P = 0.021), neutrophil percentage (Neu%, rs = 0.428, P = 0.004), and neutrophil-to-lymphocyte ratio (NLR, rs = 0.411, P = 0.006), but negatively correlated with lymphocyte percentage (Lym%, rs = -0.408, P = 0.006). In contrast, Streptococcus was negatively associated with Neu% ( rs = -0.445, P = 0.003) and NLR ( rs = -0.436, P = 0.003), while positively associated with Lym% ( rs = 0.437, P = 0.003). No significant differences in nasal microbiota richness and evenness were detected among the severe and mild ALS patients.
CONCLUSIONS
ALS is accompanied by altered nasal microbial community composition and diversity. The findings presented here highlight the need to understand how dysbiosis of nasal microbiota may contribute to the development of ALS.
Topics: Humans; Amyotrophic Lateral Sclerosis; Feces; Microbiota; Gastrointestinal Microbiome; Bacteria; RNA, Ribosomal, 16S
PubMed: 37482646
DOI: 10.1097/CM9.0000000000002701 -
BMC Microbiology Jan 2021Although gut microbiota dysbiosis has been reported in HIV infected individuals recently, the relationship between the gut microbiota and immune activation in patients...
BACKGROUND
Although gut microbiota dysbiosis has been reported in HIV infected individuals recently, the relationship between the gut microbiota and immune activation in patients with different immune responses to highly active antiretroviral therapy (HAART) is still not well understood. Gut microbiota and immune activation were studied in 36 non-HIV-infected subjects (healthy controls) and 58 HIV-infected individuals, including 28 immunological responders (IR) and 30 immunological non-responders (INR) (≥500 and < 200 CD4+ T-cell counts/μl after 2 years of HIV-1 viral suppression respectively) without comorbidities.
RESULTS
Metagenome sequencing revealed that HIV-infected immunological responders and immunological non-responders could not recover completely from the gut microbiota dysbiosis. At a 97% similarity level, the relative abundances of Fusobacterium, Ruminococcus gnavus and Megamonas were greater, whereas Faecalibacterium, Alistipes, Bifidobacterium, Eubacterium rectale and Roseburia were more depleted in the IR and INR groups than those in the healthy controls. Ruminococcaceae and Alistipes were positively correlated with nadir and current CD4+ T-cell counts, but negatively correlated with CD8 + CD57+ T-cell counts. Inflammation markers and translocation biomarkers (LPS) levels were positively correlated with the abundances of genera Ruminococcus and Fusobacterium but were negatively correlated with the genus Faecalibacterium. The relative abundances of Escherichia-Shigella and Blautia were significantly higher in the IR than those in the INR group. Escherichia-Shigella were negatively correlated with the CD4/CD8 ratio but positively correlated with the amount of CD8 + CD57+ T-cells. Roseburia and Blautia were negatively associated with nadir CD4+ T-cell and positively associated with CD8 + CD57+ T-cell counts.
CONCLUSIONS
Gut microbiota dysbiosis may be one of the factors contributing to different immune responses and treatment outcomes to HAART.
Topics: Adult; Antiretroviral Therapy, Highly Active; Bacteria; CD4-CD8 Ratio; CD4-Positive T-Lymphocytes; CD8-Positive T-Lymphocytes; Case-Control Studies; Dysbiosis; Female; Gastrointestinal Microbiome; HIV Infections; Humans; Male; Metagenomics; Middle Aged; Phylogeny; Treatment Outcome
PubMed: 33407128
DOI: 10.1186/s12866-020-02074-1 -
BMC Microbiology Sep 2023The coexistence of hypertension and type 2 diabetes mellitus (T2DM) may largely increase the risk for cardiovascular disease. However, there is no clear consensus on the...
BACKGROUND
The coexistence of hypertension and type 2 diabetes mellitus (T2DM) may largely increase the risk for cardiovascular disease. However, there is no clear consensus on the association between hypertension and the risk of diabetes. Gut microbiota plays important roles in the development of hypertension and T2DM, but whether there is difference between hypertension patients with or without T2DM has not been explored yet.
METHODS
We recruited 101 hypertension patients in this study (72 patients without T2DM named HT group and 29 patients with T2DM named HT-T2DM group). Their blood samples were collected for testing clinical characteristics and fecal samples were tested for bacterial DNA using 16 S ribosomal RNA gene sequencing targeting the V3 and V4 region. The data of 40 samples were downloaded from project PRJNA815750 as health control (HC group) in this study. The community composition and structure of the microbiome, taxonomic difference, co-occurrence network and functional enrichment were analyzed by alpha/beta diversity, LEfSe, Fruchterman Reingold's algorithm and PICRUSt2 functional analysis, respectively.
RESULTS
Alpha and beta diversity analysis showed significant differences in microbial community richness and composition among the three groups. The HC group had a significantly higher Simpson index and a distinct microbiota community compared to the HT and HT-T2DM groups, as demonstrated by significant differences in unweighted and weighted UniFrac distances. The LEfSe analysis identified specific taxa that had significantly different abundance among the groups, such as Bacteroides uniformis, Blautia wexlerae, Alistipes putredinis, and Prevotella stercorea in the HC group, Prevotella copri and Phascolarctobacterium faecium in the HT group, and Klebsiella pneumoniae in the HT-T2DM group. Co-occurrence network analysis indicates that Prevotella copri, Mediterraneibacter gnavus, Alistipes onderdonkii and some unidentified species act as key nodes in the network. Differentially functional pathway identified by PICRUSt2 were concentrated in nutrition and energy metabolism, as well as the biosynthesis of other secondary metabolites.
CONCLUSIONS
Our study found significant differences in microbial community richness, composition, and function among the healthy controls, hypertension patients with and without T2DM. Some specific taxa may explain this difference and serve as potential therapeutic targets for hypertension, T2DM, and their coexistence.
Topics: Humans; Gastrointestinal Microbiome; Diabetes Mellitus, Type 2; East Asian People; Hypertension
PubMed: 37689641
DOI: 10.1186/s12866-023-02967-x -
Microbiology Spectrum May 2024Esophageal squamous cell carcinoma (ESCC) is one of the most predominant subtypes of esophageal cancer. The characteristics of the gut microbiome and its metabolites...
Esophageal squamous cell carcinoma (ESCC) is one of the most predominant subtypes of esophageal cancer. The characteristics of the gut microbiome and its metabolites from patients with ESCC have not been adequately studied and discussed. In this study, 40 fecal samples (20 from ESCC patients and 20 from healthy controls) were analyzed by 16S rRNA gene sequencing and untargeted metabolomics. The data sets were analyzed individually and synthesized using various bioinformatics methods. Alpha and beta diversity indicated significant differences in microbial diversity and abundance between ESCC and healthy control feces. At the genus level, the abundance of , , and was significantly increased in ESCC. At the genus level, linear discriminant analysis effect size identified two biomarkers: and . Untargeted metabolomics analysis revealed 307 differential metabolites between ESCC and healthy control feces, with indoles and derivatives, tropane alkaloids, lipids, and lipid-like molecules in higher relative abundance in ESCC feces than in healthy control feces. Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that unsaturated fatty acids (FAs), ascorbate and aldarate metabolism, and hypoxia-inducible factor 1 signaling pathway were significantly associated with differential metabolite. Phenylethanolamine and despropionyl p-fluoro fentanyl could be used as reliable biomarkers to differentiate ESCC from healthy control. The correlation analysis showed that may be involved in the synthesis of fatty acyl, carboxylic acids and derivatives, benzenes and substituted derivatives, organic oxygenates, and indoles and derivatives as metabolites. and may be involved in the degradation of indoles and derivatives. , , and may be involved in the synthesis of indoles and derivatives with strong contributions. There is an intricate relationship between the gut microbiome and the levels of several metabolites (e.g., fatty acyls, carboxylic acids and derivatives, indoles, and derivatives). Microbial-associated metabolites can be used as diagnostic biomarkers in therapeutic exploration. Further analysis revealed that , , , and might promote ESCC by regulating the synthesis of indoles and their derivatives. The results of this study provide favorable evidence for the early diagnosis of ESCC and subsequent individualized treatment and targeted interventions.IMPORTANCEWe describe for the first time the differences in fecal microbiome composition and metabolites between patients with esophageal squamous cell carcinoma (ESCC) and healthy controls by 16S rRNA gene sequencing and untargeted metabolomics. The results of this study provide a favorable basis for the early diagnosis of ESCC and subsequent targeted interventional therapy.
Topics: Humans; Feces; Esophageal Squamous Cell Carcinoma; Metabolomics; Gastrointestinal Microbiome; Esophageal Neoplasms; Male; Female; Middle Aged; Bacteria; RNA, Ribosomal, 16S; Biomarkers, Tumor; Aged; Adult
PubMed: 38497715
DOI: 10.1128/spectrum.04012-23 -
Frontiers in Cardiovascular Medicine 2023Abdominal aortic aneurysm (AAA) is a life-threatening disease and there are no effective treatments to inhibit aneurysm progression and rupture. The gut microbiota has...
BACKGROUND
Abdominal aortic aneurysm (AAA) is a life-threatening disease and there are no effective treatments to inhibit aneurysm progression and rupture. The gut microbiota has been increasingly recognized, as a new therapeutic target, because of its role in host homeostasis. However, the role of the gut microbiota in AAA has not been clarified. Therefore, we performed 16S rRNA analysis to determine and compare the composition of the gut microbiota between AAA and control groups.
METHODS
We used the classical angiotensin-II induced AAA mouse model to investigate the role of gut microbiota and abdominal aortic aneurysm. The mice were randomly assigned to 2 groups: the control ( = 7) group received saline (vehicle), while the AAA ( = 13) group received solutions of Ang II. Aortic tissue and fecal samples were harvested 28 days after infusion. Fecal samples were analyzed by 16S rRNA sequencing.
RESULTS
The levels of , and were increased in the AAA group, while those of , and were increased in the control group. Furthermore, network analysis and ZiPi score assessment highlighted species in the phylum as the keystone species. PICRUSt2 analysis revealed that PWY-6629 (a super pathway of L-tryptophan biosynthesis), PWY-7446 (sulfoglycolysis), and PWY-6165 [chorismate biosynthesis II (archaea)] may-be involved in the metabolic pathways that contribute to AAA formation, and / may be the key bacteria that influence those three pathways.
CONCLUSION
Alterations in the gut microbiota may be associated with the formation of AAA. and were significantly decreased in the AAA group, but the keystone species in the phylum and the metabolic products of these bacteria should be given more attention in AAA formation research.
PubMed: 36910527
DOI: 10.3389/fcvm.2023.1051648