Discrepant gut microbiota markers for the classification of obesity-related metabolic abnormalities

Abstract The gut microbiota (GM) is related to obesity and other metabolic diseases. To detect GM markers for obesity in patients with different metabolic abnormalities and investigate their relationships with clinical indicators, 1,914 Chinese adults were enrolled for 16S rRNA gene sequencing in this retrospective study. Based on GM composition, Random forest classifiers were constructed to screen the obesity patients with (Group OA) or without metabolic diseases (Group O) from healthy individuals (Group H), and high accuracies were observed for the discrimination of Group O and Group OA (areas under the receiver operating curve (AUC) equal to 0.68 and 0.76, respectively). Furthermore, six GM markers were shared by obesity patients with various metabolic disorders (Bacteroides, Parabacteroides, Blautia, Alistipes, Romboutsia and Roseburia). As for the discrimination with Group O, Group OA exhibited low accuracy (AUC = 0.57). Nonetheless, GM classifications to distinguish between Group O and the obese patients with specific metabolic abnormalities were not accurate (AUC values from 0.59 to 0.66). Common biomarkers were identified for the obesity patients with high uric acid, high serum lipids and high blood pressure, such as Clostridium XIVa, Bacteroides and Roseburia. A total of 20 genera were associated with multiple significant clinical indicators. For example, Blautia, Romboutsia, Ruminococcus2, Clostridium sensu stricto and Dorea were positively correlated with indicators of bodyweight (including waistline and body mass index) and serum lipids (including low density lipoprotein, triglyceride and total cholesterol). In contrast, the aforementioned clinical indicators were negatively associated with Bacteroides, Roseburia, Butyricicoccus, Alistipes, Parasutterella, Parabacteroides and Clostridium IV. Generally, these biomarkers hold the potential to predict obesity-related metabolic abnormalities, and interventions based on these biomarkers might be beneficial to weight loss and metabolic risk improvement.

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Nuciferine modulates the gut microbiota and prevents obesity in high-fat diet-fed rats

Experimental & Molecular Medicine ◽

10.1038/s12276-020-00534-2 ◽

2020 ◽

Vol 52 (12) ◽

pp. 1959-1975

Author(s):

Yu Wang ◽

Weifan Yao ◽

Bo Li ◽

Shiyun Qian ◽

Binbin Wei ◽

...

Keyword(s):

Lipid Metabolism ◽

Gut Microbiota ◽

Relative Abundance ◽

Metabolic Diseases ◽

Intestinal Barrier ◽

16S Rrna Gene Sequencing ◽

Fecal Microbiota ◽

Rrna Gene ◽

Low Grade ◽

Rrna Gene Sequencing

AbstractGut microbiota dysbiosis has a significant role in the pathogenesis of metabolic diseases, including obesity. Nuciferine (NUC) is a main bioactive component in the lotus leaf that has been used as food in China since ancient times. Here, we examined whether the anti-obesity effects of NUC are related to modulations in the gut microbiota. Using an obese rat model fed a HFD for 8 weeks, we show that NUC supplementation of HFD rats prevents weight gain, reduces fat accumulation, and ameliorates lipid metabolic disorders. Furthermore, 16S rRNA gene sequencing of the fecal microbiota suggested that NUC changed the diversity and composition of the gut microbiota in HFD-fed rats. In particular, NUC decreased the ratio of the phyla Firmicutes/Bacteroidetes, the relative abundance of the LPS-producing genus Desulfovibrio and bacteria involved in lipid metabolism, whereas it increased the relative abundance of SCFA-producing bacteria in HFD-fed rats. Predicted functional analysis of microbial communities showed that NUC modified genes involved in LPS biosynthesis and lipid metabolism. In addition, serum metabolomics analysis revealed that NUC effectively improved HFD-induced disorders of endogenous metabolism, especially lipid metabolism. Notably, NUC promoted SCFA production and enhanced intestinal integrity, leading to lower blood endotoxemia to reduce inflammation in HFD-fed rats. Together, the anti-obesity effects of NUC may be related to modulations in the composition and potential function of gut microbiota, improvement in intestinal barrier integrity and prevention of chronic low-grade inflammation. This research may provide support for the application of NUC in the prevention and treatment of obesity.

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Relationship between gut microbiota and circulating metabolites in population-based cohorts

10.1101/617431 ◽

2019 ◽

Author(s):

Dina Vojinovic ◽

Djawad Radjabzadeh ◽

Alexander Kurilshikov ◽

Najaf Amin ◽

Cisca Wijmenga ◽

...

Keyword(s):

Gut Microbiota ◽

Multiple Testing ◽

Linear Regression Analysis ◽

Density Lipoprotein ◽

16S Rrna Gene Sequencing ◽

Population Based ◽

High Density ◽

Rrna Gene ◽

Phase Reaction ◽

The Impact

ABSTRACTGut microbiota has been implicated in major diseases affecting the human population and has also been linked to triglycerides and high-density lipoprotein levels in the circulation. As recent development in metabolomics allows classifying the lipoprotein particles into more details, we aimed to examine the impact of gut microbiota on circulating metabolites measured by Nuclear Magnetic Resonance (1H-NMR) technology in 2,309 individuals from the Rotterdam Study and the LifeLines-DEEP cohort in whom gut microbiota was profiled using 16S rRNA gene sequencing. The relationship between gut microbiota and metabolites was assessed by linear regression analysis while adjusting for age, sex, body-mass index, technical covariates, medication use, and multiple testing. Our analysis revealed association of 32 microbial families and genera with very-low-density and high-density subfractions, serum lipid measures, glycolysis-related metabolites, amino acids, and acute phase reaction markers. These observations provide novel insights into the role of microbiota in host metabolism and support the potential of gut microbiota as a target for therapeutic and preventive interventions.

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Accurate Classification of the Gut Microbiota of Patients in Intensive Care Units During the Development of Sepsis and Septic Shock

10.1101/2020.02.27.20028761 ◽

2020 ◽

Author(s):

Wanglin Liu ◽

Mingyue Cheng ◽

Jinman Li ◽

Peng Zhang ◽

Hang Fan ◽

...

Keyword(s):

Septic Shock ◽

Intensive Care ◽

Gut Microbiota ◽

16S Rrna Gene Sequencing ◽

Serum Lactate ◽

High Serum ◽

Apache Ii Score ◽

Rrna Gene ◽

Icu Patients ◽

Sepsis And Septic Shock

AbstractThe gut microbiota of intensive care unit (ICU) patients display extreme dysbiosis, which is associated with increased susceptibility to organ failure, sepsis and septic shock. However, this dysbiosis is hard to be characterized for each patient, owing to the highly dimensional complexity of gut microbiota. We thus tested whether the concept of enterotype can be applied to the gut microbiota of ICU patients, to describe the dysbiosis. We collected 131 fecal samples from a cohort of 64 ICU patients diagnosed with sepsis or septic shock, using 16S rRNA gene sequencing to dissect their gut microbiota compositions. We find that during the development of sepsis or septic shock, as well as various medical treatments, ICU patients always contain two patterns of dysbiotic microbiota named as ICU-enterotypes, which cannot be explained by the individual host properties such as age, gender and body mass index, as well as external stressors such as infection sites and antibiotic use. ICU-enterotype I comprised predominantly Bacteroides and an unclassified genus of family Enterobacteriaceae, while ICU-enterotype II comprised predominantly Enterococcus. Among more critically ill patients with acute physiology and chronic health evaluation (APACHE) II score > 18, samples of septic shock were more likely to present with ICU-enterotype I (p = 0.041). Additionally, ICU-enterotype I was correlated with high serum lactate level (p = 0.007). Therefore, different patterns of dysbiosis are correlated with different clinical outcomes, suggesting that the diagnosis of ICU-enterotypes as an independent clinical index is crucial. For this purpose, the microbial-based human index (MHI) classifier we proposed shows high precision and effectiveness in timely monitoring of ICU-enterotypes of an individual patient. Together, our work serves as the first step toward precision medicine for septic patients based on the gut microbiota profile.

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Diversity, Composition and Functional Inference of Gut Microbiota in Indian Cabbage white Pieris canidia (Lepidoptera: Pieridae)

Life ◽

10.3390/life10110254 ◽

2020 ◽

Vol 10 (11) ◽

pp. 254

Author(s):

Ying Wang ◽

Jianqing Zhu ◽

Jie Fang ◽

Li Shen ◽

Shuojia Ma ◽

...

Keyword(s):

Gut Microbiota ◽

16S Rrna Gene Sequencing ◽

Adult Survival ◽

Rrna Gene ◽

Life Stages ◽

Microbial Composition ◽

Significant Difference ◽

Functional Inference ◽

Rrna Gene Sequencing ◽

Insect Fitness

We characterized the gut microbial composition and relative abundance of gut bacteria in the larvae and adults of Pieris canidia by 16S rRNA gene sequencing. The gut microbiota structure was similar across the life stages and sexes. The comparative functional analysis on P. canidia bacterial communities with PICRUSt showed the enrichment of several pathways including those for energy metabolism, immune system, digestive system, xenobiotics biodegradation, transport, cell growth and death. The parameters often used as a proxy of insect fitness (development time, pupation rate, emergence rate, adult survival rate and weight of 5th instars larvae) showed a significant difference between treatment group and untreated group and point to potential fitness advantages with the gut microbiomes in P. canidia. These data provide an overall view of the bacterial community across the life stages and sexes in P. canidia.

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Gut microbiota markers associated with obesity and overweight in Italian adults

Scientific Reports ◽

10.1038/s41598-021-84928-w ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Vanessa Palmas ◽

Silvia Pisanu ◽

Veronica Madau ◽

Emanuela Casula ◽

Andrea Deledda ◽

...

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

Smoking Status ◽

16S Rrna Gene Sequencing ◽

Normal Weight ◽

Activity Level ◽

Rrna Gene ◽

Illumina Platform ◽

Obesity And Overweight ◽

Rrna Gene Sequencing

AbstractIn the present study, we characterized the distinctive signatures of the gut microbiota (GM) from overweight/obese patients (OB), and normal-weight controls (NW), both of Sardinian origin. Fecal bacterial composition of 46 OB patients (BMI = 36.6 ± 6.0; F/M = 40/6) was analyzed and compared to that of 46 NW subjects (BMI = 21.6 ± 2.1; F/M = 41/5), matched for sex, age and smoking status, by using 16S rRNA gene sequencing on MiSeq Illumina platform. The gut microbial community of OB patients exhibited a significant decrease in the relative abundance of several Bacteroidetes taxa (i.e. Flavobacteriaceae, Porphyromonadaceae, Sphingobacteriaceae, Flavobacterium, Rikenella spp., Pedobacter spp., Parabacteroides spp., Bacteroides spp.) when compared to NW; instead, several Firmicutes taxa were significantly increased in the same subjects (Lachnospiraceae, Gemellaceae, Paenibacillaceae, Streptococcaceae, Thermicanaceae, Gemella, Mitsuokella, Streptococcus, Acidaminococcus spp., Eubacterium spp., Ruminococcus spp., Megamonas spp., Streptococcus, Thermicanus, Megasphaera spp. and Veillonella spp.). Correlation analysis indicated that body fatness and waist circumference negatively correlated with Bacteroidetes taxa, while Firmicutes taxa positively correlated with body fat and negatively with muscle mass and/or physical activity level. Furthermore, the relative abundance of several bacterial taxa belonging to Enterobacteriaceae family, known to exhibit endotoxic activity, was increased in the OB group compared to NW. The results extend our knowledge on the GM profiles in Italian OB, identifying novel taxa linking obesity and intestine.

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Gut microbiota accelerates cisplatin-induced acute liver injury associated with robust inflammation and oxidative stress in mice

Journal of Translational Medicine ◽

10.1186/s12967-021-02814-5 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Shenhai Gong ◽

Yinglin Feng ◽

Yunong Zeng ◽

Huanrui Zhang ◽

Meiping Pan ◽

...

Keyword(s):

Oxidative Stress ◽

16S Rrna ◽

Gut Microbiota ◽

Gene Sequencing ◽

16S Rrna Gene Sequencing ◽

Rrna Gene ◽

Metabolomic Analysis ◽

Rrna Gene Sequencing ◽

And Oxidative Stress

Abstract Background Gut microbiota has been reported to be disrupted by cisplatin, as well as to modulate chemotherapy toxicity. However, the precise role of intestinal microbiota in the pathogenesis of cisplatin hepatotoxicity remains unknown. Methods We compared the composition and function of gut microbiota between mice treated with and without cisplatin using 16S rRNA gene sequencing and via metabolomic analysis. For understanding the causative relationship between gut dysbiosis and cisplatin hepatotoxicity, antibiotics were administered to deplete gut microbiota and faecal microbiota transplantation (FMT) was performed before cisplatin treatment. Results 16S rRNA gene sequencing and metabolomic analysis showed that cisplatin administration caused gut microbiota dysbiosis in mice. Gut microbiota ablation by antibiotic exposure protected against the hepatotoxicity induced by cisplatin. Interestingly, mice treated with antibiotics dampened the mitogen-activated protein kinase pathway activation and promoted nuclear factor erythroid 2-related factor 2 nuclear translocation, resulting in decreased levels of both inflammation and oxidative stress in the liver. FMT also confirmed the role of microbiota in individual susceptibility to cisplatin-induced hepatotoxicity. Conclusions This study elucidated the mechanism by which gut microbiota mediates cisplatin hepatotoxicity through enhanced inflammatory response and oxidative stress. This knowledge may help develop novel therapeutic approaches that involve targeting the composition and metabolites of microbiota.

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Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota

Scientific Reports ◽

10.1038/s41598-021-82726-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Francesco Durazzi ◽

Claudia Sala ◽

Gastone Castellani ◽

Gerardo Manfreda ◽

Daniel Remondini ◽

...

Keyword(s):

16S Rrna ◽

Gut Microbiota ◽

16S Rrna Gene ◽

Gene Sequencing ◽

16S Rrna Gene Sequencing ◽

Shotgun Sequencing ◽

Rrna Gene ◽

Metagenomic Sequencing ◽

Experimental Conditions ◽

Rrna Gene Sequencing

AbstractIn this paper we compared taxonomic results obtained by metataxonomics (16S rRNA gene sequencing) and metagenomics (whole shotgun metagenomic sequencing) to investigate their reliability for bacteria profiling, studying the chicken gut as a model system. The experimental conditions included two compartments of gastrointestinal tracts and two sampling times. We compared the relative abundance distributions obtained with the two sequencing strategies and then tested their capability to distinguish the experimental conditions. The results showed that 16S rRNA gene sequencing detects only part of the gut microbiota community revealed by shotgun sequencing. Specifically, when a sufficient number of reads is available, Shotgun sequencing has more power to identify less abundant taxa than 16S sequencing. Finally, we showed that the less abundant genera detected only by shotgun sequencing are biologically meaningful, being able to discriminate between the experimental conditions as much as the more abundant genera detected by both sequencing strategies.

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Infant Gut Microbiota Associated with Fine Motor Skills

Nutrients ◽

10.3390/nu13051673 ◽

2021 ◽

Vol 13 (5) ◽

pp. 1673

Author(s):

Inmaculada Acuña ◽

Tomás Cerdó ◽

Alicia Ruiz ◽

Francisco J. Torres-Espínola ◽

Ana López-Moreno ◽

...

Keyword(s):

Gut Microbiota ◽

Infant Development ◽

16S Rrna Gene Sequencing ◽

Fine Motor ◽

Rrna Gene ◽

Neurodevelopmental Outcomes ◽

Gut Colonization ◽

Healthy Infants ◽

Behavioural Characteristics ◽

Rrna Gene Sequencing

BACKGROUND: During early life, dynamic gut colonization and brain development co-occur with potential cross-talk mechanisms affecting behaviour. METHODS: We used 16S rRNA gene sequencing to examine the associations between gut microbiota and neurodevelopmental outcomes assessed by the Bayley Scales of Infant Development III in 71 full-term healthy infants at 18 months of age. We hypothesized that children would differ in gut microbial diversity, enterotypes obtained by Dirichlet multinomial mixture analysis and specific taxa based on their behavioural characteristics. RESULTS: In children dichotomized by behavioural trait performance in above- and below-median groups, weighted Unifrac b-diversity exhibited significant differences in fine motor (FM) activity. Dirichlet multinomial mixture modelling identified two enterotypes strongly associated with FM outcomes. When controlling for maternal pre-gestational BMI and breastfeeding for up to 3 months, the examination of signature taxa in FM groups showed that Turicibacter and Parabacteroides were highly abundant in the below-median FM group, while Collinsella, Coprococcus, Enterococcus, Fusobacterium, Holdemanella, Propionibacterium, Roseburia, Veillonella, an unassigned genus within Veillonellaceae and, interestingly, probiotic Bifidobacterium and Lactobacillus were more abundant in the above-median FM group. CONCLUSIONS: Our results suggest an association between enterotypes and specific genera with FM activity and may represent an opportunity for probiotic interventions relevant to treatment for motor disorders.

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Effects of Psychotropics on the Microbiome in Patients With Depression and Anxiety: Considerations in a Naturalistic Clinical Setting

The International Journal of Neuropsychopharmacology ◽

10.1093/ijnp/pyaa070 ◽

2020 ◽

Author(s):

Yoshihiro Tomizawa ◽

Shunya Kurokawa ◽

Daiki Ishii ◽

Katsuma Miyaho ◽

Chiharu Ishii ◽

...

Keyword(s):

Gut Microbiota ◽

Microbial Diversity ◽

Depressive Disorders ◽

Alpha Diversity ◽

16S Rrna Gene Sequencing ◽

Shannon Index ◽

Rrna Gene ◽

Depression And Anxiety ◽

The Impact ◽

Whole Tree

Abstract Background The antibacterial effects of psychotropics may be part of their pharmacological effects when treating depression. However, limited studies have focused on gut microbiota in relation to prescribed medication. Method We longitudinally investigated the relationship between patients’ prescribed medications and intestinal bacterial diversity in a naturalistic treatment course for patients with major depressive disorders and anxiety disorders. Patients were recruited and their stool was collected at 3 time points during their usual psychiatric treatments. Gut microbiota were analyzed using 16S rRNA gene sequencing. We examined the impact of psychotropics (i.e., antidepressants, anxiolytics, antipsychotics) on their gut microbial diversity and functions. Results We collected 246 stool samples from 40 patients. Despite no differences in microbial diversity between medication groups at the baseline, over the course of treatment, phylogenic diversity whole-tree diversity decreased in patients on antipsychotics compared with patients without (P = .027), and beta diversity followed this trend. Based on a fixed-effect model, antipsychotics predicted microbial diversity; the higher doses correlated with less diversity based on the Shannon index and phylogenic diversity whole tree (estimate = −0.00254, SE = 0.000595, P < .0001; estimate = −0.02644, SE = 0.00833, P = .002, respectively). Conclusion Antipsychotics may play a role in decreasing the alpha diversity of the gut microbiome among patients with depression and anxiety, and our results indicate a relationship with medication dosage. Future studies are warranted and should consider patients’ types and doses of antipsychotics in order to further elucidate the mechanisms of gut-brain interactions in psychiatric disorders.

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The protective effects of yellow tea extract against loperamide-induced constipation in mice

Food & Function ◽

10.1039/d0fo02969f ◽

2021 ◽

Author(s):

Pei-Qin Cao ◽

Xiu-Ping Li ◽

Jian Ou-Yang ◽

Rong-Gang Jiang ◽

Fang-Fang Huang ◽

...

Keyword(s):

16S Rrna ◽

Gut Microbiota ◽

16S Rrna Gene ◽

Gene Sequencing ◽

16S Rrna Gene Sequencing ◽

Rrna Gene ◽

Protective Effects ◽

Rrna Gene Sequencing ◽

Tea Extract

We evaluated the effects of yellow tea extract on relieving constipation induced by loperamide and evaluated the changes of gut microbiota based on 16S rRNA gene sequencing.

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