scholarly journals Dysbiosis characteristics of gut microbiota in cerebral infarction patients

2020 ◽  
Vol 11 (1) ◽  
pp. 124-133
Author(s):  
Hao Li ◽  
Xiaohui Zhang ◽  
Dengdeng Pan ◽  
Yongqiang Liu ◽  
Xuebing Yan ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Cerebral Infarction ◽  
Operating Characteristic ◽  
National Institutes Of Health ◽  
Diagnostic Model ◽  
Healthy Controls ◽  
Characteristic Analysis ◽  
Rrna Sequencing ◽  
Stool Samples ◽  
Microbiota Diversity

AbstractObjectiveThe aim of this study is to investigate the dysbiosis characteristics of gut microbiota in patients with cerebral infarction (CI) and its clinical implications.MethodsStool samples were collected from 79 CI patients and 98 healthy controls and subjected to 16S rRNA sequencing to identify stool microbes. Altered compositions and functions of gut microbiota in CI and its correlation with clinical features were investigated. Random forest and receiver operating characteristic analysis were used to develop a diagnostic model.ResultsMicrobiota diversity and structure between CI patients and healthy controls were overall similar. However, butyrate-producing bacteria (BPB) were significantly reduced in CI patients, while lactic acid bacteria (LAB) were increased. Genetically, BPB-related functional genes were reduced in CI patients, whereas LAB-related genes were enhanced. The interbacterial correlations among BPB in CI patients were less prominent than those in healthy controls. Clinically, BPB was negatively associated with the National Institutes of Health Stroke Scale (NIHSS), while LAB was positively correlated with NIHSS. Both BPB and LAB played leading roles in the diagnostic model based on 47 bacteria.ConclusionsThe abundance and functions of BPB in CI patients were significantly decreased, while LAB were increased. Both BPB and LAB displayed promising potential in the assessment and diagnosis of CI.

scholarly journals Gut Microbiota and Related Metabolites Were Disturbed in Ulcerative Colitis and Partly Restored After Mesalamine Treatment

2021 ◽  
Vol 11 ◽  
Author(s):  
Liang Dai ◽  
Yingjue Tang ◽  
Wenjun Zhou ◽  
Yanqi Dang ◽  
Qiaoli Sun ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Gut Microbiota ◽  
Relative Abundance ◽  
Roc Curve Analysis ◽  
Mayo Score ◽  
Rrna Sequencing ◽  
Treatment Naïve ◽  
Stool Samples ◽  
Underlying Mechanisms ◽  
Microbiota Diversity

Mesalamine has been well used in the improvement of ulcerative colitis (UC) in clinics, however, the underlying mechanisms were not well illustrated. To explore its efficacy from the perspective of gut microbiota and related metabolites, we employed 16S rRNA sequencing and metabolomics approaches in stool samples across 14 normal healthy controls (NC group), 10 treatment-naïve UC patients (UC group) and 14 UC patients responded to mesalamine treatment (mesalamine group). We noted that the gut microbiota diversity and community composition were remarkably perturbed in UC group and partially restored by mesalamine treatment. The relative abundance of 192 taxa in genus level were significantly changed in UC group, and 168 genera were significantly altered after mesalamine intervention. Meanwhile, a total of 127 metabolites were significantly changed in UC group and 129 metabolites were significantly altered after mesalamine treatment. Importantly, we observed that many candidates including 49 genera (such as Escherichia-shigella, Enterococcus and Butyricicoccus) and 102 metatoblites (such as isoleucine, cholic acid and deoxycholic acid) were reversed by mesalamine. Spearman correlation analysis revealed that most of the candidates were significantly correlated with Mayo score of UC, and the relative abundance of specific genera were significant correlated with the perturbation of metabolites. Pathway analysis demonstrated that genera and metabolites candidates were enriched in many similar molecular pathways such as amino acid metabolism and secondary metabolites biosynthesis. Importantly, ROC curve analysis identified a gut microbiota signature composed of five genera including Escherichia-Shigella, Streptococcus, Megamonas, Prevotella_9 and [Eubacterium] _coprostanoligenes _group which might be used to distinguish UC group from both NC and mesalamine group. In all, our results suggested that mesalamine might exert a beneficial role in UC by modulating gut microbiota signature with correlated metabolites in different pathways, which may provide a basis for developing novel candidate biomarkers and therapeutic targets of UC.

scholarly journals Effects of Transanal Irrigation on Gut Microbiota in Pediatric Patients with Spina Bifida

2021 ◽  
Vol 10 (2) ◽  
pp. 224
Author(s):  
Akira Furuta ◽  
Yasuyuki Suzuki ◽  
Ryosuke Takahashi ◽  
Birte Petersen Jakobsen ◽  
Takahiro Kimura ◽  
...  
Keyword(s):  
Spina Bifida ◽  
16S Rrna ◽  
Gut Microbiota ◽  
Pediatric Patients ◽  
Host Immune System ◽  
Healthy Controls ◽  
Transanal Irrigation ◽  
Rrna Sequencing ◽  
Before And After ◽  
Neurogenic Bowel

Recent studies using 16S rRNA-based microbiota profiling have demonstrated dysbiosis of gut microbiota in constipated patients. The aim of this study was to investigate the changes in gut microbiota after transanal irrigation (TAI) in patients with spina bifida (SB). A questionnaire on neurogenic bowel disfunction (NBD), Bristol scale, and gut microbiota using 16S rRNA sequencing were completed in 16 SB patients and 10 healthy controls aged 6–17 years. Then, 11 of 16 SB patients with moderate to severe NBD scores received TAI for 3 months. Changes in urine cultures were also examined before and after the TAI treatments. In addition, correlation of gut microbiota and Bristol scale was analyzed. Significantly decreased abundance in Faecalibacterium, Blautia and Roseburia, and significantly increased abundance in Bacteroides and Roseburia were observed in the SB patients compared with controls and after TAI, respectively. The abundance of Roseburia was significantly correlated positively with Bristol scale. Urinary tract infection tended to decrease from 82% to 55% after TAI (p = 0.082) despite persistent fecal incontinence. Butyrate-producing bacteria such as Roseburia play a regulatory role in the intestinal motility and host immune system, suggesting the effects of TAI on gut microbiota.

Analysis of Gut Microbiota Composition in Lung Adenocarcinoma Patients with TCM Qi-Yin Deficiency

2021 ◽  
pp. 1-16
Author(s):  
Jiabin Chen ◽  
Sheng Wang ◽  
Jianfei Shen ◽  
Qinqin Hu ◽  
Yongjun Zhang ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Lung Adenocarcinoma ◽  
Deficiency Syndrome ◽  
Diagnostic Model ◽  
Linear Discriminant ◽  
Yin Deficiency ◽  
16S Rna ◽  
Stool Samples ◽  
Tcm Syndrome ◽  
Gut Microbiota Composition

In Lung adenocarcinoma (ADC), Qi-Yin deficiency syndrome (QY) is the most common Traditional Chinese medicine (TCM) syndrome. This study aimed to investigate the diversity and composition of gut microbiota in ADC patients with QY syndrome. 90 stool samples, including 30 healthy individuals (H), 30 ADC patients with QY syndrome, and 30 ADC patients with another syndrome (O) were collected. Then, 16s-RNA sequencing was used to analyze stool samples to clarify the structure of gut microbiota, and linear discriminant analysis (LDA) effect size (LEfSe) was applied to identify biomarkers for ADC with QY syndrome. Logistic regression analysis was performed to establish a diagnostic model for the diagnosis of QY syndrome in ADC patients, which was assessed with the AUC. Finally, 20 fecal samples (QY: 10; O: 10) were analyzed with Metagenomics to validate the diagnostic model. The [Formula: see text] diversity and [Formula: see text] diversity demonstrated that the structure of gut microbiota in the QY group was different from that of the H group and O group. In the QY group, the top 3 taxonomies at phylum level were Firmicutes, Bacteroidetes, and Proteobacteria, and at genus level were Faecalibacterium, Prevotella_9, and Bifidobacterium. LEfSe identified Prevotella_9 and Streptococcus might be the biomarkers for QY syndrome. A diagnostic model was constructed using those 2 genera with the AUC = 0.801, similar to the AUC based on Metagenomics (0.842). The structure of gut microbiota in ADC patients with QY syndrome was investigated, and a diagnostic model was developed for the diagnosis of QY syndrome in ADC patients, which provides a novel idea for the understanding and diagnosis of TCM syndrome.

scholarly journals CXCL9 as a key biomarker of vitiligo activity and prediction of the success of cultured melanocyte transplantation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fuquan Lin ◽  
Wenting Hu ◽  
Wen Xu ◽  
Miaoni Zhou ◽  
Ai‑E. Xu
Keyword(s):  
Initial Treatment ◽  
Operating Characteristic ◽  
Receiver Operating Characteristic Analysis ◽  
Healthy Controls ◽  
Blister Fluid ◽  
Characteristic Analysis ◽  
Curative Effect ◽  
Chemokine Ligand ◽  
Treatment Responses ◽  
Potential Biomarkers

AbstractThis study aimed to investigate the potential biomarkers of vitiligo by evaluating the disease activity and curative effect of autologous cultured pure melanocyte transplantation (CMT) on patients. Altogether, 36patients with stable vitiligo were treated with CMT. Blister fluid samples were collected from patients with stable vitiligo. Patients with active vitiligo were matched with healthy controls. The chemokine levels in the serum and blister fluid samples were measured using Luminex. The curative effect on patients with stable vitiligo was evaluated 6 months after treatment. Treatment responses were defined according to the extent of repigmentation as effective (if 50% or more repigmentation was achieved) or ineffective (if less than 50% or worse repigmentation was achieved). Patients received re-transplantation if the initial treatment was ineffective. The levels of C-X-C motif chemokine ligand (CXCL)9 and CXCL10 in blister fluid samples were significantly lower in stable patients than in active participants. Receiver operating characteristic analysis revealed that the levels of CXCL9 and CXCL10 were sensitive and specific in diagnosing active vitiligo. Further, 65.6% (21/32) of patients who received CMT had effective treatment responses. The high CXCL9 level in the blister fluid was a significant predictor of ineffective treatment responses. The treatment response was significantly enhanced after treatment. Four patients with ineffective treatment responses received anti-inflammatory treatment and re-transplantation. The CXCL9 and CXCL10 levels in the blister fluid were related to the presence of active vitiligo. Also, the CXCL9 level was a predictor of the effectiveness of CMT in treating vitiligo.

scholarly journals The Core and Distinction of the Gut Microbiota in Chinese Populations across Geography and Ethnicity

2020 ◽  
Vol 8 (10) ◽  
pp. 1579
Author(s):  
Deng Lin ◽  
Ran Wang ◽  
Junjie Luo ◽  
Fazheng Ren ◽  
Zhenglong Gu ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Geographical Location ◽  
Chinese Populations ◽  
The Core ◽  
Minority Ethnic Groups ◽  
Rrna Sequencing ◽  
Different Populations ◽  
Major Factors ◽  
Minority Ethnic ◽  
Microbiota Diversity

The diversity of the human gut microbiota constitutes a fundamental health indicator of different populations. The relative importance of geographical location and ethnicity on the gut microbiota, however, has not been previously addressed. Due to unique ethnic distributions across China, we recruited distinct minority ethnic groups, including Han populations, in each of the seven cities that were explored in this study. We investigated the gut microbiota of 394 healthy subjects (14 groups) from these seven different cities using 16S rRNA sequencing. Our results indicated that both geographical location and ethnicity were major factors. However, geographical location exhibited greater influence than ethnicity on both the composition and diversity of the gut microbiota. In addition, a total of 15 shared biomarkers at the genus level were identified in three distinct locations, including seven in Inner Mongolia, seven in Xinjiang and one in Gansu. Furthermore, 65 unique biomarkers were found in 14 population groups, which indicated specific communities in different populations. Based on the gut microbiota species, two main enterotypes—namely Prevotella (ETP) and Bacteroides (ETB), which consist of Prevotella and Bacteroides as the core bacterial genus, were observed in Chinese populations. Our unique experimental design using the same ethnic group—Han, as a control in different locations, enables delineating the importance of geographical location and ethnicity on the gut microbiota, and provides the fundamental characteristics of gut microbiota diversity in Chinese populations.

scholarly journals Association of the Maternal Gut Microbiota/Metabolome with Cord Blood CCL17

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2837
Author(s):  
Hiromi Tanabe ◽  
Kenichi Sakurai ◽  
Yumiko Nakanishi ◽  
Tamotsu Kato ◽  
Yohei Kawasaki ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Immune Responses ◽  
Cord Blood ◽  
Diversity Index ◽  
Lactate Concentration ◽  
Allergic Diseases ◽  
Serum Levels ◽  
Specific Ige ◽  
Rrna Sequencing ◽  
Stool Samples

Chemokine (C-C motif) ligand 17 (CCL17) is a pro-allergic factor: high CCL17 levels in cord blood (CB) precede later allergic predisposition. Short-chain fatty acid (SCFA) treatment during pregnancy has been shown to protect mouse pups against allergic diseases. The maternal microbial metabolome during pregnancy may affect fetal allergic immune responses. We therefore examined the associations between CB CCL17 and gut SCFA levels in healthy pregnant Japanese women. CB CCL17 serum levels at birth, and maternal non-specific IgE levels in maternal sera at 32 weeks of gestation were measured. Maternal stool samples were collected at 12 (n = 59) and 32 (n = 58) weeks of gestation for gut microbiota analysis, based on barcoded 16S rRNA sequencing and metabolite levels. The CB CCL17 levels correlated negatively with butyrate concentrations and positively with isobutyrate at 12 weeks; CB CCL17 correlated positively with valerate and lactate at 32 weeks. Similarly, butyrate levels correlated negatively with maternal non-specific IgE levels, whereas the lactate concentration correlated positively with IgE levels. At 32 weeks, the Shannon diversity index (SDI) of Firmicutes and Proteobacteria correlated negatively with CB CCL17 levels, while those of the total microbiota correlated positively with the CB CCL17 levels. These metabolites may alter fetal immune responses. This study provides the first link between maternal metabolites during pregnancy and the risk of allergic diseases in human offspring.

scholarly journals Analysis of microbiota in elderly patients with Acute Cerebral Infarction

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6928 ◽  
Author(s):  
Lin Huang ◽  
Teng Wang ◽  
Qian Wu ◽  
Xin Dong ◽  
Feifei Shen ◽  
...  
Keyword(s):  
Linear Regression ◽  
Gut Microbiota ◽  
Cerebral Infarction ◽  
Patient Group ◽  
Bacterial Species ◽  
Acute Cerebral Infarction ◽  
Functional Enrichment ◽  
Control Group ◽  
Healthy Controls ◽  
Gut Flora

Background and Aims Recent evidence suggest that microbiota is associated with almost all major types of diseases, including cardiovascular diseases. However, its role in Acute Cerebral Infarction remains unexplored. It is important to understand the diversity and distribution of gut microbiota (GM) in patients with Acute Cerebral Infarction and the role that GM plays in this type of disease. Methods We performed pyrosequencing on the gut microbiota of 40 individuals in order to elucidate whether the composition of the microbiota differs between patients with Acute Cerebral Infarction and healthy controls: Of these individuals, there were 31 with Acute Cerebral Infarction and nine controls. We applied linear regression to calculate the correlation between the gut flora and disease risk factors. Finally, KEGG functional enrichment analysis was conducted to examine the correlation between the gut flora and Acute Cerebral Infarction. Results The overall microbial structure was similar in both the controls and the patients, but the control group had higher relative presence of Blautia obeum while the presence of Streptococcus infantis and Prevotella copri were relatively higher in the patient group. Using linear regression, we found that Blautia obeum was negatively associated with white blood cell count and Streptococcus infantis was positively correlated with creatinine and lipoprotein. The KEGG pathway analysis indicated that the bio-pathways including methane metabolism, lipopolysaccharide synthesis, bacterial secretion, and flagellar assembly of the gut microbiota in the patient group was expressed differently than that of the controls. We identified three differentially expressed gut microbial functions in Acute Cerebral Infarction and found four bacterial pathways that might be related to the development of this disease. Conclusions Our study identified three abnormally-expressed bacteria—Blautia obeum, Streptococcus infantis, and Prevotella copri—in patients with Acute Cerebral Infarction compared with healthy controls. It reveals a correlation of these bacterial species with Acute Cerebral Infarction as they relate to disease factors and functional pathways. These findings may shed light on the treatment of cerebral infarction because gut microbiota could serve as a potential therapeutic approach for the treatment of cardiovascular and metabolic diseases.

Untargeted lipidomics reveals specific lipid abnormalities in Sjögren’s syndrome

Rheumatology ◽  
2020 ◽  
Author(s):  
Jiawei Lu ◽  
Yunke Guo ◽  
Yan Lu ◽  
Wei Ji ◽  
Lili Lin ◽  
...  
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Receiver Operating Characteristic Analysis ◽  
Lipid Biomarkers ◽  
Acid Oxidation ◽  
Healthy Controls ◽  
Characteristic Analysis ◽  
Serum Samples ◽  
Latent Structures ◽  
Receiver Operating

Abstract Objective The relationship between serum lipid variations in SS and healthy controls was investigated to identify potential predictive lipid biomarkers. Methods Serum samples from 230 SS patients and 240 healthy controls were collected. The samples were analysed by ultrahigh-performance liquid chromatography coupled with Q Exactive™ spectrometry. Potential lipid biomarkers were screened through orthogonal projection to latent structures discriminant analysis and further evaluated by receiver operating characteristic analysis. Results A panel of three metabolites [phosphatidylcholine (18:0/22:5), triglyceride (16:0/18:0/18:1) and acylcarnitine (12:0)] was identified as a specific biomarker of SS. The receiver operating characteristic analysis showed that the panel had a sensitivity of 84.3% with a specificity of 74.8% in discriminating patients with SS from healthy controls. Conclusion Our approach successfully identified serum biomarkers associated with SS patients. The potential lipid biomarkers indicated that SS metabolic disturbance might be associated with oxidized lipids, fatty acid oxidation and energy metabolism.

scholarly journals Gut Microbiota Differences According to Ultra-Processed Food Consumption in a Spanish Population

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2710
Author(s):  
Amanda Cuevas-Sierra ◽  
Fermín I. Milagro ◽  
Paula Aranaz ◽  
Jose Alfredo Martínez ◽  
José I. Riezu-Boj
Keyword(s):  
Gut Microbiota ◽  
Processed Meat ◽  
Processed Foods ◽  
Processed Food ◽  
Spearman Correlation ◽  
Food Frequency ◽  
Rrna Sequencing ◽  
The Relationship ◽  
Microbiota Diversity

Ultra-processed foods (UPFs) consumption could affect gut microbiota diversity and profile. We aimed to evaluate the effects of UPFs on microbiota, considering the role of sex. The consumption of UPFs (using NOVA criteria) was assessed with a validated 137-item food-frequency questionnaire. Participants (n = 359) were classified into less than three servings per day (n = 96) of UPFs and more than five (n = 90). Women and men were subclassified following the same criteria. 16S rRNA sequencing was performed from DNA fecal samples, and differences in microbiota were analyzed using EdgeR. The relationship between UPFs and bacteria was assessed by Spearman correlation and comparison of tertiles of consumption. Women who consumed more than five servings/day of UPFs presented an increase in Acidaminococcus, Butyrivibrio, Gemmiger, Shigella, Anaerofilum, Parabacteroides, Bifidobacterium, Enterobacteriales, Bifidobacteriales and Actinobacteria and a decrease in Melainabacter and Lachnospira. Bifidobacterium, Bifidobacteriales and Actinobacteria was positively associated with pizza and Actinobacteria with industrially processed dairy in women. Men who consumed more than five servings/day presented an increase of Granulicatella, Blautia, Carnobacteriaceae, Bacteroidaceae, Peptostreptococcaceae, Bacteroidia and Bacteroidetes and a decrease of Anaerostipes and Clostridiaceae. Bacteroidia and Bacteroidetes correlated positively with industrially processed meat. This study suggests that UPFs may affect microbiota composition differently in women and men.

scholarly journals Beneficial Effect of Alkaloids From Sophora alopecuroides L. on CUMS-Induced Depression Model Mice via Modulating Gut Microbiota

2021 ◽  
Vol 11 ◽  
Author(s):  
Ming Zhang ◽  
Aoqiang Li ◽  
Qifang Yang ◽  
Jingyi Li ◽  
Lihua Wang ◽  
...  
Keyword(s):  
16S Rrna ◽  
Mouse Model ◽  
Gut Microbiota ◽  
Beneficial Effect ◽  
Predictive Analysis ◽  
Mild Stress ◽  
Chronic Unpredictable Mild Stress ◽  
Sophora Alopecuroides ◽  
Rrna Sequencing ◽  
Microbiota Diversity

It was recently shown that the gut microbiota of both depression patients and depression model animals is significantly altered, suggesting that gut microbes are closely related to depression. Here, we investigated the effects of Sophora alopecuroides L.-derived alkaloids on the gut microbiota of mice with depression-like behaviors. We first established a mouse model of depression via chronic unpredictable mild stress (CUMS) and detected changes in depression-like behaviors and depression-related indicators. Simultaneously, 16S rRNA sequencing was performed to investigate gut microbiota changes. Sophora alopecuroides L.-derived alkaloids improved depression-like behaviors and depression-related indicators in mice. The alkaloids decreased the gut microbiota diversity of CUMS mice and depleted intestinal differentially abundant “harmful” microbiota genera. Spearman analysis showed that there is a certain correlation between the differential microbiota (Lactobacillus, Helicobacter, Oscillospira, Odoribacter, Mucispirillum, Ruminococcus), depression-like behaviors, and depression-related indicators. Combined with the predictive analysis of gut microbiota function, these results indicate that alkaloids improve depression in mice through modulating gut microbiota.

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