Differences in Diet and Gut Microbiota Between Lactating and Non-lactating Asian Particolored Bats (Vespertilio sinensis): Implication for a Connection Between Diet and Gut Microbiota

In mammals, lactation is considered the most energetically costly phase for females. To meet nutritional and energy demands, lactating females usually change feeding patterns by eating food that is higher in protein and calories. Their gut microbes respond accordingly to help adapt to the changes in diet. In this study, we examined differences in diet and gut microbial composition between lactating and non-lactating Asian particolored bats (Vespertilio sinensis) using COI and 16S amplicon sequencing. When compared with non-lactating bats, we found that the diversity and composition of lactating bats’ diets differed; the proportion of Diptera increased and Coleoptera and Orthoptera decreased significantly. This could be attributed to the easy availability and high protein content of Diptera. Comparative analysis of the gut microbiota of lactating and non-lactating females showed that although the diversity of gut microbiota did not change, the relative abundance of specific gut microbiota associated with a particular diet did change. For example, when the consumption of Coleoptera decreased in lactating bats, the relative abundance of Lactobacillaceae was also reduced. Lactobacillaceae are thought to be involved in the digestion of Coleopteran exoskeletons. This study suggests that during lactation, Asian particolored bats eat a diet that yields higher levels of protein, and at the same time, the abundance of specific gut microbes change to help their hosts adapt to these changes in diet.

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SARS-CoV-2 does not have a strong effect on the nasopharyngeal microbial composition

Scientific Reports ◽

10.1038/s41598-021-88536-6 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Tzipi Braun ◽

Shiraz Halevi ◽

Rotem Hadar ◽

Gilate Efroni ◽

Efrat Glick Saar ◽

...

Keyword(s):

Clinical Microbiology ◽

Amplicon Sequencing ◽

Viral Disease ◽

Nasopharyngeal Swab ◽

Microbial Composition ◽

16S Amplicon Sequencing ◽

The World ◽

Health And Disease ◽

Longitudinal Sampling ◽

Potential Interactions

AbstractThe coronavirus disease 2019 (COVID-19) has rapidly spread around the world, impacting the lives of many individuals. Growing evidence suggests that the nasopharyngeal and respiratory tract microbiome are influenced by various health and disease conditions, including the presence and the severity of different viral disease. To evaluate the potential interactions between Severe Acute Respiratory Syndrome Corona 2 (SARS-CoV-2) and the nasopharyngeal microbiome. Microbial composition of nasopharyngeal swab samples submitted to the clinical microbiology lab for suspected SARS-CoV-2 infections was assessed using 16S amplicon sequencing. The study included a total of 55 nasopharyngeal samples from 33 subjects, with longitudinal sampling available for 12 out of the 33 subjects. 21 of the 33 subjects had at least one positive COVID-19 PCR results as determined by the clinical microbiology lab. Inter-personal variation was the strongest factor explaining > 75% of the microbial variation, irrespective of the SARS-CoV-2 status. No significant effect of SARS-CoV-2 on the nasopharyngeal microbial community was observed using multiple analysis methods. These results indicate that unlike some other viruses, for which an effect on the microbial composition was noted, SARS-CoV-2 does not have a strong effect on the nasopharynx microbial habitants.

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Conventional myelosuppressive chemotherapy for non-haematological malignancy disrupts the intestinal microbiome

BMC Cancer ◽

10.1186/s12885-021-08296-4 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Lito E. Papanicolas ◽

Sarah K. Sims ◽

Steven L. Taylor ◽

Sophie J. Miller ◽

Christos S. Karapetis ◽

...

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

Haematological Malignancy ◽

Amplicon Sequencing ◽

Intestinal Microbiome ◽

Rrna Gene ◽

Conventional Chemotherapy ◽

Myelosuppressive Chemotherapy ◽

Gram Positive Bacteria ◽

Faecal Samples

Abstract Background The gut microbiota influences many aspects of host physiology, including immune regulation, and is predictive of outcomes in cancer patients. However, whether conventional myelosuppressive chemotherapy affects the gut microbiota in humans with non-haematological malignancy, independent of antibiotic exposure, is unknown. Methods Faecal samples from 19 participants with non-haematological malignancy, who were receiving conventional chemotherapy regimens but not antibiotics, were examined prior to chemotherapy, 7–12 days after chemotherapy, and at the end of the first cycle of treatment. Gut microbiota diversity and composition was determined by 16S rRNA gene amplicon sequencing. Results Compared to pre-chemotherapy samples, samples collected 7–12 days following chemotherapy exhibited increased richness (mean 120 observed species ± SD 38 vs 134 ± 40; p = 0.007) and diversity (Shannon diversity: mean 6.4 ± 0.43 vs 6.6 ± 0.41; p = 0.02). Composition was significantly altered, with a significant decrease in the relative abundance of gram-positive bacteria in the phylum Firmicutes (pre-chemotherapy median relative abundance [IQR] 0.78 [0.11] vs 0.75 [0.11]; p = 0.003), and an increase in the relative abundance of gram-negative bacteria (Bacteroidetes: median [IQR] 0.16 [0.13] vs 0.21 [0.13]; p = 0.01 and Proteobacteria: 0.015 [0.018] vs 0.03 [0.03]; p = 0.02). Differences in microbiota characteristics from baseline were no longer significant at the end of the chemotherapy cycle. Conclusions Conventional chemotherapy results in significant changes in gut microbiota characteristics during the period of predicted myelosuppression post-chemotherapy. Further study is indicated to link microbiome changes during chemotherapy to clinical outcomes.

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Gut Microbiome and Metabolome Profiles Associated with High-Fat Diet in Mice

Metabolites ◽

10.3390/metabo11080482 ◽

2021 ◽

Vol 11 (8) ◽

pp. 482

Author(s):

Jae-Kwon Jo ◽

Seung-Ho Seo ◽

Seong-Eun Park ◽

Hyun-Woo Kim ◽

Eun-Ju Kim ◽

...

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

High Fat Diet ◽

Amplicon Sequencing ◽

Gas Chromatography Mass Spectrometry ◽

Control Group ◽

Rrna Gene ◽

High Fat ◽

Underlying Mechanisms ◽

Insight Into

Obesity can be caused by microbes producing metabolites; it is thus important to determine the correlation between gut microbes and metabolites. This study aimed to identify gut microbiota-metabolomic signatures that change with a high-fat diet and understand the underlying mechanisms. To investigate the profiles of the gut microbiota and metabolites that changed after a 60% fat diet for 8 weeks, 16S rRNA gene amplicon sequencing and gas chromatography-mass spectrometry (GC-MS)-based metabolomic analyses were performed. Mice belonging to the HFD group showed a significant decrease in the relative abundance of Bacteroidetes but an increase in the relative abundance of Firmicutes compared to the control group. The relative abundance of Firmicutes, such as Lactococcus, Blautia, Lachnoclostridium, Oscillibacter, Ruminiclostridium, Harryflintia, Lactobacillus, Oscillospira, and Erysipelatoclostridium, was significantly higher in the HFD group than in the control group. The increased relative abundance of Firmicutes in the HFD group was positively correlated with fecal ribose, hypoxanthine, fructose, glycolic acid, ornithine, serum inositol, tyrosine, and glycine. Metabolic pathways affected by a high fat diet on serum were involved in aminoacyl-tRNA biosynthesis, glycine, serine and threonine metabolism, cysteine and methionine metabolism, glyoxylate and dicarboxylate metabolism, and phenylalanine, tyrosine, and trypto-phan biosynthesis. This study provides insight into the dysbiosis of gut microbiota and metabolites altered by HFD and may help to understand the mechanisms underlying obesity mediated by gut microbiota.

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Impact of the gut microbiome on the atorvastatin-dependent modulation of the serum lipidome

European Heart Journal ◽

10.1093/ehjci/ehaa946.3823 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

J Roessler ◽

F Zimmermann ◽

D Schmidt ◽

U Escher ◽

A Jasina ◽

...

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

Gut Microbiome ◽

Interindividual Variation ◽

Funding Source ◽

Microbial Composition ◽

Atorvastatin Treatment ◽

Qrt Pcr ◽

16S Rna ◽

Regulatory Properties

Abstract Background and aims The modulation of serum lipids, in particular of the low-density lipoprotein cholesterol (LDL-C), by statins varies between individuals. The mechanisms regulating this interindividual variation are only poorly understood. Here, we investigated the relation between the gut microbiome and the regulatory properties of atorvastatin on the serum lipidome using mice with depleted gut microbiome. Methods Over a period of 6 weeks, mice (C57BL/6) with either an intact (conventional mice, CONV, n=24) or antibiotic-based depleted gut microbiome (antibiotic treated mice, ABS, n=16) were put on standard chow diet (SCD) or high fat diet (HFD), respectively. During the last 4 weeks of treatment atorvastatin (Ator, 10mg/kg body weight/day) or control vehicle was administered via daily oral gavage. Blood lipids (total cholesterol, VLDL, LDL-C, HDL-C) and serum sphingolipids were compared among the groups. The expressions of hepatic and intestinal genes involved in cholesterol metabolism were analyzed by qRT-PCR. Alterations in the gut microbiota profile of mice with intact gut microbiome were examined using 16S RNA qRT-PCR. Results In CONV mice, HFD led to significantly increased blood LDL-C levels as compared with SCD (HFD: 36.8±1.4 mg/dl vs. SCD: 22.0±1.8 mg/dl; P<0.01). In CONV mice atorvastatin treatment significantly reduced blood LDL-C levels after HFD, whereas in ABS mice the LDL-C lowering effect of atorvastatin was markedly attenuated (CONV+HFD+Ator: 31.0±1.8 mg/dl vs. ABS+HFD+Ator: 46.4±3 mg/dl; P<0.01). A significant reduction in the abundance of several plasma lipids, in particular sphingolipids and glycerophospholipids upon atorvastatin treatment was observed in CONV mice, but not in ABS mice. The expressions of distinct hepatic and intestinal cholesterol-regulating genes (ldlr, srebp2, pcsk9 and npc1l1) upon atorvastatin treatment were significantly altered in gut microbiota depleted mice. In response to HFD a decrease in the relative abundance of the bacterial phyla Bacteroides and an increase in the relative abundance of Firmicutes was observed. The altered ratio between Bacteroides and Firmicutes in HFD fed mice was partly reversed upon atorvastatin treatment. Conclusions Our findings indicate a crucial role of the gut microbiome for the regulatory properties of atorvastatin on the serum lipidome and, in turn, support a critical impact of atorvastatin on the gut microbial composition. The results provide novel insights into potential microbiota related mechanisms underlying interindividual variation in modulation of the serum lipidome by statins, given interindividual differences in microbiome composition and function. Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): German Heart Research Foundation

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Comparative analysis of the gut microbiota of mice fed a diet supplemented with raw and cooked beef loin powder

Scientific Reports ◽

10.1038/s41598-021-90461-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Hye-Jin Kim ◽

Dongwook Kim ◽

Kwan-Woo Kim ◽

Sang-Hoon Lee ◽

Aera Jang

Keyword(s):

Fatty Acid ◽

Comparative Analysis ◽

Gut Microbiota ◽

Ribosomal Rna ◽

Relative Abundance ◽

Short Chain Fatty Acid ◽

Dietary Supplementation ◽

Acid Synthesis ◽

Chain Fatty Acid ◽

Increasing Trend

AbstractWe used 16S ribosomal RNA sequencing to evaluate changes in the gut microbiota of mice fed a diet supplemented with either raw or cooked beef loin powder for 9 weeks. Male BALB/c mice (n = 60) were randomly allocated to five groups: mice fed AIN-93G chow (CON), chow containing 5% (5RB) and 10% (10RB) raw beef loin powder, and chow containing 5% (5CB) and 10% (10CB) cooked beef loin powder. Dietary supplementation with both RB and CB increased the relative abundance of Clostridiales compared to the CON diet (p < 0.05). Mice fed 10RB showed a significantly higher relative abundance of Firmicutes (p = 0.018) and Lactobacillus (p = 0.001) than CON mice, and the ratio of Firmicutes/Bacteroidetes showed an increasing trend in the 10RB mice (p > 0.05). Mice fed 10CB showed a higher abundance of Peptostreptococcaceae and a lower abundance of Desulfovibrionaceae compared with the CON mice (p < 0.05). Genes for glycan biosynthesis, which result in short-chain fatty acid synthesis, were enriched in the CB mice compared to the RB mice, which was correlated to a high abundance of Bacteroides. Overall, dietary RB and CB changed the gut microbiota of mice (p < 0.05).

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Changes in the gut microbiota of morbidly obese patients after laparoscopic sleeve gastrectomy

Future Microbiology ◽

10.2217/fmb-2021-0043 ◽

2021 ◽

Author(s):

Alev Kural ◽

Imran Khan ◽

Hakan Seyit ◽

Tuba R Caglar ◽

Pınar Toklu ◽

...

Keyword(s):

Sleeve Gastrectomy ◽

Gut Microbiota ◽

Laparoscopic Sleeve Gastrectomy ◽

Amplicon Sequencing ◽

Morbidly Obese ◽

Microbiota Composition ◽

16S Amplicon Sequencing ◽

Before And After ◽

Stool Samples ◽

Gut Microbiota Composition

Aims: Permanent treatment of morbid obesity with medication or diet is nearly impossible. Laparoscopic sleeve gastrectomy (LSG) is becoming a widely accepted treatment option. This study profiled and compared gut microbiota composition before and after LSG. Methods & results: A total of 54 stool samples were collected from 27 morbidly obese individuals before and after LSG. The gut microbiota was profiled with 16S amplicon sequencing. After LSG, patients demonstrated a significant decrease (p < 0.001) in BMI and an increase in bacterial diversity. An increased Firmicutes/Bacteroidetes ratio was also noticed after LSG. The families Prevotellaceae and Veillonellaceae predominated in preoperative samples but were markedly lowered after LSG. A marked increase in Akkermansia, Alistipes, Streptococcus, Ruminococcus and Parabacteroides was observed after LSG. Conclusion: In addition to lowering BMI, LSG remodeled gut microbiota composition.

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PSI-10 Establishing a foundation to harvest the potential of the microbiome in poultry production

Journal of Animal Science ◽

10.1093/jas/skz258.594 ◽

2019 ◽

Vol 97 (Supplement_3) ◽

pp. 293-294

Author(s):

Camila S Marcolla ◽

Benjamin Willing

Keyword(s):

Microbial Community ◽

Gut Microbiota ◽

Community Composition ◽

Relative Abundance ◽

Microbial Community Composition ◽

Alpha Diversity ◽

Poultry Production ◽

Microbiota Composition ◽

Microbial Composition ◽

The Impact

Abstract This study aimed to characterize poultry microbiota composition in commercial farms using 16S rRNA sequencing. Animals raised in sanitized environments have lower survival rates when facing pathogenic challenges compared to animals naturally exposed to commensal organisms. We hypothesized that intensive rearing practices inadvertently impair chicken exposure to microbes and the establishment of a balanced gut microbiota. We compared gut microbiota composition of broilers (n = 78) and layers (n = 20) from different systems, including commercial intensive farms with and without in-feed antibiotics, organic free-range farms, backyard-raised chickens and chickens in an experimental farm. Microbial community composition of conventionally raised broilers was significantly different from antibiotic-free broilers (P = 0.012), from broilers raised outdoors (P = 0.048) and in an experimental farm (P = 0.006) (Fig1). Significant community composition differences were observed between antibiotic-fed and antibiotic-free chickens (Fig2). Antibiotic-free chickens presented higher alpha-diversity, higher relative abundance of Deferribacteres, Fusobacteria, Bacteroidetes and Actinobacteria, and lower relative abundance of Firmicutes, Clostridiales and Enterobacteriales than antibiotic-fed chickens (P < 0.001) (Fig3). Microbial community composition significantly changed as birds aged. In experimental farm, microbial community composition was significant different for 7, 21 and 35 day old broilers (P < 0.001), and alpha diversity increased from 7 to 21d (P < 0.024), but not from 21 to 35d; whereas, in organic systems, increases in alpha-diversity were observed from 7d to 21d, and from 21d to 35d (P < 0.05). Broilers and layers raised together showed no differences in microbiota composition and alpha diversity (P > 0.8). It is concluded that production practices consistently impact microbial composition, and that antibiotics significantly reduces microbial diversity. We are now exploring the impact of differential colonization in a controlled setting, to determine the impact of the microbes associated with extensively raised chickens. This study will support future research and the development of methods to isolate and introduce beneficial microbes to commercial systems.

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Effect of Selected Stilbenoids on Human Fecal Microbiota

Molecules ◽

10.3390/molecules24040744 ◽

2019 ◽

Vol 24 (4) ◽

pp. 744 ◽

Cited By ~ 6

Author(s):

Jose Jaimes ◽

Veronika Jarosova ◽

Ondrej Vesely ◽

Chahrazed Mekadim ◽

Jakub Mrazek ◽

...

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

Statistical Tests ◽

16S Rrna Gene Sequencing ◽

Fecal Microbiota ◽

Rrna Gene ◽

Microbial Composition ◽

Genus Clostridium ◽

The Family ◽

Rrna Gene Sequencing

Dietary phenolics or polyphenols are mostly metabolized by the human gut microbiota. These metabolites appear to confer the beneficial health effects attributed to phenolics. Microbial composition affects the type of metabolites produced. Reciprocally, phenolics modulate microbial composition. Understanding this relationship could be used to positively impact health by phenolic supplementation and thus create favorable colonic conditions. This study explored the effect of six stilbenoids (batatasin III, oxyresveratrol, piceatannol, pinostilbene, resveratrol, thunalbene) on the gut microbiota composition. Stilbenoids were anaerobically fermented with fecal bacteria from four donors, samples were collected at 0 and 24 h, and effects on the microbiota were assessed by 16S rRNA gene sequencing. Statistical tests identified affected microbes at three taxonomic levels. Observed microbial composition modulation by stilbenoids included a decrease in the Firmicutes to Bacteroidetes ratio, a decrease in the relative abundance of strains from the genus Clostridium, and effects on the family Lachnospiraceae. A frequently observed effect was a further decrease of the relative abundance when compared to the control. An opposite effect to the control was observed for Faecalibacterium prausnitzii, whose relative abundance increased. Observed effects were more frequently attributed to resveratrol and piceatannol, followed by thunalbene and batatasin III.

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Alterations of the Gut Microbiota in Patients With Coronavirus Disease 2019 or H1N1 Influenza

Clinical Infectious Diseases ◽

10.1093/cid/ciaa709 ◽

2020 ◽

Vol 71 (10) ◽

pp. 2669-2678 ◽

Cited By ~ 34

Author(s):

Silan Gu ◽

Yanfei Chen ◽

Zhengjie Wu ◽

Yunbo Chen ◽

Hainv Gao ◽

...

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

Influenza A ◽

Gastrointestinal Symptoms ◽

Area Under The Curve ◽

H1n1 Influenza ◽

Cross Sectional Study ◽

Microbial Composition ◽

Cross Sectional ◽

Influenza A H1n1

Abstract Background Coronavirus disease 2019 (COVID-19) is an emerging serious global health problem. Gastrointestinal symptoms are common in COVID-19 patients, and severe acute respiratory syndrome coronavirus 2 RNA has been detected in stool specimens. However, the relationship between the gut microbiome and disease remains to be established. Methods We conducted a cross-sectional study of 30 patients with COVID-19, 24 patients with influenza A(H1N1), and 30 matched healthy controls (HCs) to identify differences in the gut microbiota by 16S ribosomal RNA gene V3–V4 region sequencing. Results Compared with HCs, COVID-19 patients had significantly reduced bacterial diversity; a significantly higher relative abundance of opportunistic pathogens, such as Streptococcus, Rothia, Veillonella, and Actinomyces; and a lower relative abundance of beneficial symbionts. Five biomarkers showed high accuracy for distinguishing COVID-19 patients from HCs with an area under the curve (AUC) up to 0.89. Patients with H1N1 displayed lower diversity and different overall microbial composition compared with COVID-19 patients. Seven biomarkers were selected to distinguish the 2 cohorts (AUC = 0.94). Conclusions The gut microbial signature of patients with COVID-19 was different from that of H1N1 patients and HCs. Our study suggests the potential value of the gut microbiota as a diagnostic biomarker and therapeutic target for COVID-19, but further validation is needed.

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Dysbiosis of gut microbiota and its correlation with dysregulation of cytokines in psoriasis patients

10.21203/rs.3.rs-50642/v2 ◽

2021 ◽

Author(s):

Xinyue Zhang ◽

Kun Guo ◽

Linjing Shi ◽

Ting Sun ◽

Songmei Geng

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

Gut Microbiome ◽

High Throughput Sequencing ◽

Interleukin 2 ◽

Negative Relationship ◽

Healthy Individuals ◽

Microbial Composition ◽

Microbiome Composition ◽

The Relationship

Abstract Background: Psoriasis is an inflammatory skin disease associated with multiple comorbidities and substantially diminishes patients’ quality of life. The gut microbiome has become a hot topic in psoriasis as it has been shown to affect both allergy and autoimmunity diseases in recent studies. Our objective was to identify differences in the fecal microbial composition of patients with psoriasis compared with healthy individuals to unravel the microbiota profiling in this autoimmune disease.Results: We collected fecal samples from 30 psoriasis patients and 30 healthy controls, sequenced them by 16S rRNA high-throughput sequencing, and identified the gut microbial composition using bioinformatic analyses including Quantitative Insights into Microbial Ecology (QIIME) and Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt). Our results showed that different relative abundance of certain bacterial taxa between psoriasis patients and healthy individuals, including Faecalibacterium and Megamonas, were increased in patients with psoriasis. It’s also implicated that many cytokines act as main effect molecules in the pathology of psoriasis. We selected the inflammation-related indicators that were abnormal in psoriasis patients and found the microbiome variations were associated with the level of them, especially interleukin-2 receptor showed a positive relationship with Phascolarctobacterium and a negative relationship with the dialister. The relative abundance of Phascolarctobacterium and dialister can be regard as predictors of psoriasis activity. The correlation analysis based on microbiota and Inflammation-related indicators showed that microbiota dysbiosis might induce an abnormal immune response in psoriasis. Conclusions: We concluded that the gut microbiome composition in psoriasis patients has been altered markedly and provides evidence to understand the relationship between gut microbiota and psoriasis. More mechanistic experiments are needed to determine whether the differences observed in gut microbiota are the cause or consequences of psoriasis and whether the relationship between gut microbiota and cytokines was involved.

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