scholarly journals Observation of the Gut Microbiota Profile in C57BL/6 Mice Induced by Plasmodium berghei ANKA Infection

2021 ◽  
Vol 11 ◽  
Author(s):  
Wei Guan ◽  
Shuguo Yang ◽  
Yanqing Zhao ◽  
Weijia Cheng ◽  
Xiaonan Song ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
Beta Diversity ◽  
Diversity Index ◽  
Control Group ◽  
Microbiota Composition ◽  
Experimental Cerebral Malaria ◽  
Ctrl Group ◽  
Alpha And Beta Diversity ◽  
Gut Microbiota Composition

The genus of Plasmodium parasites can cause malaria, which is a prevalent infectious disease worldwide, especially in tropical and subtropical regions. C57BL/6 mice infected with P. berghei ANKA (PbA) will suffer from experimental cerebral malaria (ECM). However, the gut microbiota in C57BL/6 mice has rarely been investigated, especially regarding changes in the intestinal environment caused by infectious parasites. P. berghei ANKA-infected (PbA group) and uninfected C57BL/6 (Ctrl group) mice were used in this study. C57BL/6 mice were infected with PbA via intraperitoneal injection of 1 × 106 infected red blood cells. Fecal samples of two groups were collected. The microbiota of feces obtained from both uninfected and infected mice was characterized by targeting the V4 region of the 16S rRNA through the Illumina MiSeq platform. The variations in the total gut microbiota composition were determined based on alpha and beta diversity analyses of 16S rRNA sequencing. The raw sequences from all samples were generated and clustered using ≥ 97% sequence identity into many microbial operational taxonomic units (OTUs). The typical microbiota composition in the gut was dominated by Bacteroidetes, Firmicutes, Proteobacteria, and Verrucomicrobia at the phylum level. Bacteroidetes and Verrucomicrobia were considerably decreased after PbA infection compared with the control group (Ctrl), while Firmicutes and Proteobacteria were increased substantially after PbA infection compared with Ctrl. The alpha diversity index showed that the observed OTU number was increased in the PbA group compared with the Ctrl group. Moreover, the discreteness of the beta diversity revealed that the PbA group samples had a higher number of OTUs than the Ctrl group. LEfSe analysis revealed that several potential bacterial biomarkers were clearly related to the PbA-infected mice at the phylogenetic level. Several bacterial genera, such as Acinetobacter, Lactobacillus, and Lachnospiraceae_NK4A136_group, were overrepresented in the PbA-infected fecal microbiota. Meanwhile, a method similar to gene coexpression network construction was used to generate the OTU co-abundance units. These results indicated that P. berghei ANKA infection could alter the gut microbiota composition of C57BL/6 mice. In addition, potential biomarkers should offer insight into malaria pathogenesis and antimalarial drug and malaria vaccine studies.

scholarly journals Pregnancy and diet-related changes in the maternal gut microbiota following exposure to an elevated linoleic acid diet

2020 ◽  
Vol 318 (2) ◽  
pp. E276-E285 ◽  
Author(s):  
Nirajan Shrestha ◽  
Simone L. Sleep ◽  
James S. M. Cuffe ◽  
Olivia J. Holland ◽  
Andrew J. McAinch ◽  
...  
Keyword(s):  
Linoleic Acid ◽  
Gut Microbiota ◽  
Beta Diversity ◽  
Reproductive Age ◽  
Microbiota Composition ◽  
Dietary Intakes ◽  
Fecal Microbiome ◽  
Alpha And Beta Diversity ◽  
Wistar Kyoto ◽  
Gut Microbiota Composition

Dietary intakes of linoleic acid (LA) have increased, including in women of reproductive age. Changes in maternal gut microbiome have been implicated in the metabolic adaptions that occur during pregnancy. We aimed to investigate whether consumption of a diet with elevated LA altered fecal microbiome diversity before and during pregnancy. Female Wistar-Kyoto rats consumed a high-LA diet (HLA: 6.21% of energy) or a low-LA diet (LLA: 1.44% of energy) for 10 wk before mating and during pregnancy. DNA was isolated from fecal samples before pregnancy [embryonic day 0 (E0)], or during pregnancy at E10 and E20. The microbiome composition was assessed with 16S rRNA sequencing. At E0, the beta-diversity of LLA and HLA groups differed with HLA rats having significantly lower abundance of the genera Akkermansia, Peptococcus, Sutterella, and Xo2d06 but higher abundance of Butyricimonas and Coprococcus. Over gestation, in LLA but not HLA rats, there was a reduction in alpha-diversity and an increase in beta-diversity. In the LLA group, the abundance of Akkermansia, Blautia, rc4.4, and Streptococcus decreased over gestation, whereas Coprococcus increased. In the HLA group; only the abundance of Butyricimonas decreased. At E20, there were no differences in alpha- and beta-diversity, and the abundance of Roseburia was significantly increased in the HLA group. In conclusion, consumption of a HLA diet alters gut microbiota composition, as does pregnancy in rats consuming a LLA diet. In pregnancy, consumption of a HLA diet does not alter gut microbiota composition.

scholarly journals Antibiotics at birth and later antibiotic courses: effects on gut microbiota

2021 ◽  
Author(s):  
Sofia Ainonen ◽  
Mysore V Tejesvi ◽  
Md. Rayhan Mahmud ◽  
Niko Paalanne ◽  
Tytti Pokka ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Control Group ◽  
List Type ◽  
Antibiotic Exposure ◽  
Microbiota Composition ◽  
Long Term Effects ◽  
The Impact ◽  
Antibiotic Courses ◽  
Gut Microbiota Composition

Abstract Background Intrapartum antibiotic prophylaxis (IAP) is widely used, but the evidence of the long-term effects on the gut microbiota and subsequent health of children is limited. Here, we compared the impacts of perinatal antibiotic exposure and later courses of antibiotic courses on gut microbiota. Methods This was a prospective, controlled cohort study among 100 vaginally delivered infants with different perinatal antibiotic exposures: control (27), IAP (27), postnatal antibiotics (24), and IAP and postnatal antibiotics (22). At 1 year of age, we performed next-generation sequencing of the bacterial 16S ribosomal RNA gene of fecal samples. Results Exposure to the perinatal antibiotics had a clear impact on the gut microbiota. The abundance of the Bacteroidetes phylum was significantly higher in the control group, whereas the relative abundance of Escherichia coli was significantly lower in the control group. The impact of the perinatal antibiotics on the gut microbiota composition was greater than exposure to later courses of antibiotics (28% of participants). Conclusions Perinatal antibiotic exposure had a marked impact on the gut microbiota at the age of 1 year. The timing of the antibiotic exposure appears to be the critical factor for the changes observed in the gut microbiota. Impact Infants are commonly exposed to IAP and postnatal antibiotics, and later to courses of antibiotics during the first year of life. Perinatal antibiotics have been associated with an altered gut microbiota during the first months of life, whereas the evidence regarding the long-term impact is more limited. Perinatal antibiotic exposure had a marked impact on the infant’s gut microbiota at 1 year of age. Impact of the perinatal antibiotics on the gut microbiota composition was greater than that of the later courses of antibiotics at the age of 1 year.

MO598COMPARISON OF GUT MICROBIOTA COMPOSITION BETWEEN PERITONEAL DIALYSIS PATIENTS AND HEALTHY HOUSEHOLD CONTACTS

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Renata Rodrigues Teixeira ◽  
Laila S. Andrade ◽  
Natalia Barros Ferreira Pereira ◽  
Christian Hoffmann ◽  
Lilian Cuppari
Keyword(s):  
Peritoneal Dialysis ◽  
Gut Microbiota ◽  
Diet Quality ◽  
Quality Index ◽  
Control Group ◽  
Microbiota Composition ◽  
Household Contacts ◽  
Diet Quality Index ◽  
Feces Sample ◽  
Gut Microbiota Composition

Abstract Background and Aims According to some studies, it seems that advanced chronic kidney disease (CKD) has the potential to cause alterations in the composition of patients gut microbiota. Most of these data have been provided by comparing the microbiota profile between patients and healthy individuals. However, well-known factors that influence the microbiota composition such as age, environment and diet were not considered in the majority of these comparative studies. In the present study, we aimed to compare the gut microbiota composition between patients on peritoneal dialysis (PD) and age-paired healthy household contacts. Method This is a cross-sectional study. Patients undergoing automated PD for at least 3 months, aged 18 to 75 years and clinically stable were enrolled. Those who were using prebiotics, probiotics, symbiotics and antibiotics within a period of 30 days before the study, were not included. A healthy control group was composed by individuals living in the same home and with similar age of the patients. Participants received sterile materials to collect the feces sample and were instructed to keep it refrigerated and bring to the clinic within a period of 12h. To evaluate the microbial profile, 16S ribosomal DNA was PCR-amplified and sequenced on an IlluminaMiSeq platform. Diet was evaluated using a 3-day food record and the diet quality was analyzed by a Brazilian Diet Quality Index. Rome IV questionnaire was applied to diagnose constipation. Nutritional status was assessed by 7-point subjective global assessment (SGA) and body mass index (BMI). Fasting blood samples were collected and clinical data were obtained from interviewing the participants and from the patient’s charts. Data are presented in percentage, mean ± standard deviation or median (interquartile range). Results Twenty patients (PD group) and 20 healthy household contacts (control group) were studied. In PD group: 70% were men, 53.5 (48.2 - 66) years old, 50% had diabetes, BMI 25.9 ± 4.8 kg/m², 95% well-nourished, 40% constipated, 14 (5.2 – 43.5) months on dialysis and 80% had residual diuresis. In control group: 30% were men, 51.5 (46.2 - 59.7) years old, BMI 28.7 ± 3.5 kg/m² and 20% constipated. Except of sex (p = 0.01) and BMI (p = 0.04), there were no other differences between groups. Comparing dietary intake between groups, no difference was found in daily energy [PD: 20.8 ± 5.4 kcal/kg/d vs. control: 22.0 ± 5.6 kcal/kg/d, p = 0.51], protein (PD: 0.8 ± 0.2 g/kg/d vs. control: 0.9 ± 0.2 g/kg/d, p = 0.23) and fiber [PD: 14.1 (10.7 – 21.1) g/d vs. 13.7 (10.4 – 18.0) g/d, p = 0.85]. In addition, the Diet Quality Index was also not different between groups (PD: 52.3 ± 15.6 vs. control: 54.5 ± 14.8, p = 0.65). Regarding microbiota composition, no difference was found between groups in alfa diversity (Figure 1), beta diversity (p>0.05), and genera differential abundance (Figure 2). Conclusion In the present study, no difference in the gut microbiota composition was found between patients on PD and healthy household contacts sharing a similar environment and diet. This result suggests that CKD and PD seem not to alter significantly gut microbiota composition.

scholarly journals The microbiota of farmed mink (Neovison vison) follows a successional development and is affected by early life antibiotic exposure

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Martin Iain Bahl ◽  
Anabelle Legarth Honoré ◽  
Sanne Tygesen Skønager ◽  
Oliver Legarth Honoré ◽  
Tove Clausen ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Early Life ◽  
Intramuscular Administration ◽  
Control Group ◽  
Rrna Gene ◽  
Antibiotic Administration ◽  
Lactation Period ◽  
Microbiota Composition ◽  
Gut Microbiota Composition ◽  
Successional Development

AbstractOn many mink farms, antibiotics are used extensively during the lactation period to reduce the prevalence and severity of pre-weaning diarrhoea (PWD) in mink kits (also referred to as greasy kit syndrome). Concerns have been raised, that routine treatment of PWD with antibiotics could affect the natural successional development of the gut microbiota, which may have long lasting consequences. Here we investigated the effects of early life antibiotic treatment administered for 1 week (postnatal days 13–20). Two routes of antibiotic administration were compared to a non-treated control group (CTR, n = 24). Routes of administration included indirect treatment, through the milk from dams receiving antibiotics by intramuscular administration (ABX_D, n = 24) and direct treatment by intramuscular administration to the kits (ABX_K, n = 24). A tendency for slightly increased weight at termination (Day 205) was observed in the ABX_K group. The gut microbiota composition was profiled by 16S rRNA gene sequencing at eight time points between Day 7 and Day 205. A clear successional development of the gut microbiota composition was observed and both treatment regimens caused detectable changes in the gut microbiota until at least eight days after treatment ceased. At termination, a significant positive correlation was identified between microbial diversity and animal weight.

scholarly journals Tiansi Liquid Modulates Gut Microbiota Composition and Tryptophan–Kynurenine Metabolism in Rats with Hydrocortisone-Induced Depression

Molecules ◽  
2018 ◽  
Vol 23 (11) ◽  
pp. 2832 ◽  
Author(s):  
Dan Cheng ◽  
Hongsheng Chang ◽  
Suya Ma ◽  
Jian Guo ◽  
Gaimei She ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Relative Abundance ◽  
High Performance ◽  
Negative Relationship ◽  
Treated Group ◽  
Control Group ◽  
Microbiota Composition ◽  
Traditional Chinese Herbal Medicine ◽  
Underlying Mechanisms ◽  
Gut Microbiota Composition

Tiansi Liquid is a traditional Chinese herbal medicine used to treat depression; however, the underlying mechanisms remain unclear. Here, we examined the effect of Tiansi Liquid in a rat model of hydrocortisone-induced depression using behavioral testing, 16S rRNA high-throughput pyrosequencing and high-performance liquid chromatography-mass spectrometry-based metabolomics of the tryptophan (TRP)–kynurenine (KYN) pathway. Tiansi Liquid significantly improved the sucrose preference and exploratory behavior of the depressive rats. The richness of intestinal mucosa samples from the model (depressive) group tended to be higher than that from the control group, while the richness was higher in the Tiansi Liquid-treated group than in the model group. Tiansi Liquid increased the relative abundance of some microbiota (Ruminococcaceae, Lactococcus, Lactobacillus, Lachnospiraceae_NK4A136_group). Metabolomics showed that Tiansi Liquid reduced the levels of tryptophan 2,3 dioxygenase, indoleamine 2,3-dioxygenase, quinoline and the KYN/TRP ratio, while increasing kynurenic acid and 5-HT levels. Correlation analysis revealed a negative relationship between the relative abundance of the Lachnospiraceae_NK4A136_group and quinoline content. Collectively, these findings suggest that Tiansi Liquid ameliorates depressive symptoms in rats by modulating the gut microbiota composition and metabolites in the TRP–KYN pathway.

scholarly journals Dietary trans-10, cis-12-conjugated linoleic acid alters fatty acid metabolism and microbiota composition in mice

2015 ◽  
Vol 113 (5) ◽  
pp. 728-738 ◽  
Author(s):  
Tatiana M. Marques ◽  
Rebecca Wall ◽  
Orla O'Sullivan ◽  
Gerald F. Fitzgerald ◽  
Fergus Shanahan ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Linoleic Acid ◽  
Gut Microbiota ◽  
Conjugated Linoleic Acid ◽  
Control Group ◽  
Standard Diet ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
16S Rrna Pyrosequencing ◽  
Gut Microbiota Composition

The main aim of the present study was to investigate the effects of dietary trans-10, cis-12-conjugated linoleic acid (t10c12-CLA) on intestinal microbiota composition and SCFA production. C57BL/6 mice (n 8 per group) were fed a standard diet either supplemented with t10c12-CLA (0·5 %, w/w) (intervention) or with no supplementation (control), daily for 8 weeks. Metabolic markers (serum glucose, leptin, insulin and TAG, and liver TAG) were assessed by ELISA commercial kits, tissue long-chain fatty acids and caecal SCFA by GC, and microbial composition by 16S rRNA pyrosequencing. Dietary t10c12-CLA significantly decreased visceral fat mass (P< 0·001), but did not affect body weight (intervention), when compared with no supplementation (control). Additionally, lipid mass and composition were affected by t10c12-CLA intake. Caecal acetate, propionate and isobutyrate concentrations were higher (P< 0·05) in the t10c12-CLA-supplemented group than in the control group. The analysis of the microbiota composition following 8 weeks of t10c12-CLA supplementation revealed lower proportions of Firmicutes (P= 0·003) and higher proportions of Bacteroidetes (P= 0·027) compared with no supplementation. Furthermore, t10c12-CLA supplementation for 8 weeks significantly altered the gut microbiota composition, harbouring higher proportions of Bacteroidetes, including Porphyromonadaceae bacteria previously linked with negative effects on lipid metabolism and induction of hepatic steatosis. These results indicate that the mechanism of dietary t10c12-CLA on lipid metabolism in mice may be, at least, partially mediated by alterations in gut microbiota composition and functionality.

scholarly journals Gut microbiota composition related with Clostridium difficile-positive diarrhea and C. difficile type (A+B+, A-B+, and A-B-) in ICU hospitalized patients

2017 ◽  
Author(s):  
Anhua Wu ◽  
Juping Duan ◽  
Sidi Liu ◽  
Xiujuan Meng ◽  
Pengcheng Zhou ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Gut Microbiota ◽  
16S Rdna ◽  
Gene Annotation ◽  
Control Group ◽  
Analysis Tool ◽  
Microbiota Composition ◽  
Icu Patients ◽  
Α Diversity ◽  
Gut Microbiota Composition

AbstractBackgroundGut microbiota composition of intensive care unit (ICU) patients suffering from Clostridium difficile-positive diarrhea (CDpD) is still poorly understood. This study aims to use 16S rDNA (and metagenome) sequencing to compare the microbiota composition of 58 (and 5) ICU patients with CDpD (CDpD group), 33 (and 4) ICU patients with C. difficile negative diarrhea (CDnD group), and 21 (and 5) healthy control subjects (control group), as well as CDpD patients in A+B+ (N=34; A/B: C. difficile TcdA/B), A-B+ (N=7), and A-B- (N=17) subgroups. For 16S rDNA data, OTU clustering (tool: UPARSE), taxonomic assignment (tool: RDP classifier), α-diversity and β-diversity analyses (tool: QIIME) were conducted. For metagenome data, metagenome assembly (tool: SOAP), gene calling (tools: MetaGeneMark, CD-HIT, and SoapAligner), unigene alignment (tool: DIAMOND), taxon difference analysis (tool: Metastats), and gene annotation (tool: DIAMOND) were performed.ResultsThe microbial diversity of CDpD group was lower than that of CDnD and control groups. The abundances of 10 taxa (e.g. Deferribacteres, Cryptomycota, Acetothermia) in CDpD group were significantly higher than that in CDnD group. The abundances of Saccharomycetes and Clostridia were significantly lower in CDpD in comparison with control. A+B+, A-B+ and A-B- subgroups couldn’t be separated in principal component analysis, while some taxa are significantly different between A+B+ and A-B- subgroups.ConclusionCDpD might relate to the decrease of beneficial taxa (i.e. Saccharomycetes and Clostridia) and the increase of harmful taxa (e.g. Deferribacteres, Cryptomycota, Acetothermia) in gut microbiota in ICU patients. C. difficile type might be slightly associated with gut microbiota composition.

scholarly journals Comparative Analysis of the Impact of Urolithins on the Composition of the Gut Microbiota in Normal-Diet Fed Rats

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3885
Author(s):  
Ali Khalaf Al Khalaf ◽  
Abdulrasheed O. Abdulrahman ◽  
Mohammed Kaleem ◽  
Suza Mohammad Nur ◽  
Amer H. Asseri ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Functional Food ◽  
Normal Diet ◽  
Control Group ◽  
Microbiota Composition ◽  
Food Ingredient ◽  
Urolithin A ◽  
Male Wistar Rats ◽  
The Impact ◽  
Gut Microbiota Composition

The gut microbiota consists of a community of microorganisms that inhabit the large intestine. These microbes play important roles in maintaining gut barrier integrity, inflammation, lipid and carbohydrate metabolism, immunity, and protection against pathogens. However, recent studies have shown that dysfunction in the gut microbiota composition can lead to the development of several diseases. Urolithin A has recently been approved as a functional food ingredient. In this study, we examined the potentials of urolithin A (Uro-A) and B (Uro-B) in improving metabolic functions and their impact on gut microbiota composition under a metabolically unchallenged state in normal rats. Male Wistar rats (n = 18) were randomly segregated into three groups, with Group 1 serving as the control group. Groups 2 and 3 were administered with 2.5 mg/kg Uro-A and Uro-B, respectively, for four weeks. Our results showed that both Uro-A and B improved liver and kidney functions without affecting body weight. Metagenomic analysis revealed that both Uro-A and B induced the growth of Akkermansia. However, Uro-A decreased species diversity and microbial richness and negatively impacted the composition of pathogenic microbes in normal rats. Taken together, this study showed the differential impacts of Uro-A and B on the gut microbiota composition in normal rats and would thus serve as a guide in the choice of these metabolites as a functional food ingredient or prebiotic.

scholarly journals Multi-strain fermented milk promotes gut microbiota recovery after Helicobacter pylori therapy: a randomised, controlled trial

2021 ◽  
Author(s):  
Eric Guillemard ◽  
Marion Poirel ◽  
Florent Schäfer ◽  
Laurent Quinquis ◽  
Caroline Rossoni ◽  
...  
Keyword(s):  
Helicobacter Pylori ◽  
Gut Microbiota ◽  
Controlled Trial ◽  
Fermented Milk ◽  
Control Group ◽  
Microbiota Composition ◽  
Test Product ◽  
Link Type ◽  
Gi Symptoms ◽  
Gut Microbiota Composition

AbstractBACKGROUNDHelicobacter pylori (Hp) eradication therapy can alter gut microbiota, provoking gastro-intestinal (GI) symptoms that can be improved by probiotics. The effect on Hp patients of a Test fermented milk containing yogurt and three Lacticaseibacillus (L. paracasei CNCM I-1518, CNCM I-3689, L. rhamnosus CNCM I-3690) strains was assessed on antibiotic associated diarrhea (AAD) (primary aim), GI-symptoms, gut microbiota composition and metabolites. In this aim, a randomized, double-blind, controlled trial was performed in 136 adults under Hp-treatment (14-day amoxicillin, clarithromycin, pantoprazole), who consumed the Test or a Control product for 28 days. Feces were analysed for gut microbiota composition, short chain fatty acids (SCFA), calprotectin, and viability of ingested strains.RESULTSNo effect of Test product was observed on AAD occurrence or duration, rating scores or number of days of GI symptoms. Hp-treatment induced a significant alteration in bacterial and fungal composition, a decrease of bacterial count and alpha-diversity, an increase of Candida and of calprotectin, and a decrease of SCFA concentration. Following Hp treatment, in the Test as compared to Control group, intra-subject beta-diversity distance from baseline was lower (padj=0.02), Escherichia-Shigella (padj=0.0082) and Klebsiella (padj= 0.013) were significantly less abundant, and concentrations of major SCFA (p=0.035) and valerate (p = 0.045) were higher. Viable Lp and Lr strains from the Test product were mainly detected during product consumption in feces.CONCLUSIONSThe study showed that 14-day Hp triple therapy alters gut bacterial and fungal community, their metabolites and gut inflammatory markers. Consumption of a multi-strain fermented milk can induce faster recovery of the microbiota composition and SCFA production and limit the bloom of pathobionts. (ClinicalTrials.gov, NCT02900196; First Posted : September 14, 2016; https://www.clinicaltrials.gov/ct2/show/NCT02900196).

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