Microbial Community In Patients Research Articles

Elevated Circulating Levels of Gut Microbe-Derived Trimethylamine N-Oxide Are Associated with Systemic Sclerosis.

Background/Objectives: Alterations in fecal microbial communities in patients with systemic sclerosis (SSc) are common, but the clinical significance of this observation is poorly understood. Gut microbial production of trimethylamine (TMA), and its conversion by the host to trimethylamine N-oxide (TMAO), has clinical and mechanistic links to cardiovascular and renal diseases. Direct provision of TMAO has been shown to promote fibrosis and vascular injury, hallmarks of SSc. We sought to determine levels of TMAO and related metabolites in SSc patients and investigate associations between the metabolite levels with disease features. Methods: This is an observational case:control study. Adults with SSc (n = 200) and non-SSc controls (n = 400) were matched for age, sex, indices of renal function, diabetes mellitus, and cardiovascular disease. Serum TMAO, choline, betaine, carnitine, γ-butyrobetaine, and crotonobetaine were measured using stable isotope dilution liquid chromatography tandem mass spectrometry. Results: Median TMAO concentration was higher (p = 0.020) in SSc patients (3.31 [interquartile range 2.18, 5.23] µM) relative to controls (2.85 [IQR 1.88, 4.54] µM). TMAO was highest among obese and male SSc participants compared to all other groups. Following adjustment for sex, BMI, age, race, and eGFR in a quantile regression model, elevated TMAO levels remained associated with SSc at each quantile of TMAO. Conclusions: Patients with SSc have increased circulating levels of TMAO independent of comorbidities including age, sex, renal function, diabetes mellitus, and cardiovascular disease. As a potentially modifiable factor, further studies examining the link between TMAO and SSc disease severity and course are warranted.

Insights into the Naso-Oropharyngeal Bacterial Composition in Suspected SARS-CoV-2 Cases.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was the causative agent of the coronavirus disease 2019 (COVID-19) pandemic. While research on COVID-19 has mainly focused on its epidemiology, pathogenesis, and treatment, studies on the naso-oropharyngeal microbiota have emerged in the last few years as an overlooked area of research. Here, we analyzed the bacterial community composition of the naso-oropharynx in 50 suspected SARS-CoV-2 cases (43 detected, 7 not detected) from Veraguas province (Panama) distributed across five age categories. Statistical analysis revealed no significant differences (p < 0.05) in bacterial alpha and beta diversities between the groups categorized by SARS-CoV-2 test results, age, or patient status. The genera Corynebacterium, Staphylococcus, Prevotella, Streptococcus, and Tepidiphilus were the most abundant in both detected and not-detected SARS-CoV-2 group. The linear discriminant analysis effect size (LEfSe) for biomarker exploration indicated that Veillonella and Prevotella were enriched in detected and hospitalized patients with SARS-CoV-2 relative to non-detected patients, while Thermoanaerobacterium and Haemophilus were enriched in non-detected patients with SARS-CoV-2. The results also indicated that the genus Corynebacterium was found to decrease in patients with detected SARS-CoV-2 relative to those with non-detected SARS-CoV-2. Understanding the naso-oropharyngeal microbiota provides insights into the diversity, composition, and resilience of the microbial community in patients with SARS-CoV-2.

Alteration in gut microbial characteristics of patients with acromegaly.

Studies on intestinal microbiota in acromegaly are scant. This study aimed to characterize the gut microbiome in patients with acromegaly. Stool samples were collected from 11 patients newly diagnosed with acromegaly and 12 healthy controls matched for body mass index (BMI) and age after three days on a standard diet. Clinical and gut microbial composition assessments were performed for the two participant groups using 16S rRNA gene amplicon sequencing. There was no difference in the alpha diversity of the microbiota between the samples from patients with acromegaly and those from the healthy controls. Based on beta diversity measurements, differences in microbial community structures were found to be significant only when compared using the Jaccard similarity index. The corresponding Firmicutes/Bacteroidota ratio tended to be higher in individuals with acromegaly than in healthy controls. The mean relative abundance of Actinobacteriota was 2.3 times higher in the acromegaly patient group than in the control group. Eggerthellaceae, Christensenellaceae, and Bacteroidaceae were among the significantly abundant bacterial families in the samples from the acromegaly patient group, while Butyricicoccaceae and Tannerellaceae were decreased. At the level of the genus, the most discriminative features were the abundance of Prevotella 7, Bacteroides, Senegalimassilia, Enterohabdus, the Family XIII AD3011 group, Howardella, and Hungatella in the samples from the acromegaly patient group. In contrast, the Butyrivibrio and the Eubacterium eligens group were the most discriminative genera for the healthy controls and were significantly less abundant in patients with acromegaly. While there were no significantly differentiated taxa between the diabetic and non-diabetic subgroups, Prevotella_7 was significantly enriched in the osteoarthritis (OA) subgroup. No significant association was found between individual genera and growth hormone (GH) levels and insulin-like growth factor-1 (IGF-1) levels as well as the upper limit of normal (ULN). Although alpha and beta diversity were mainly similar between the two groups, significant differences were observed between the acromegaly group and the control group at the family and genus levels. These results suggest that the differences between the microbial communities in patients with acromegaly and those in healthy individuals consist primarily of compositional differences independent of abundance. Prospective studies are needed to further explore the clinical implications of gut microbiome dysbiosis in patients with acromegaly.

Excess fermentation and lactic acidosis as detrimental functions of the gut microbes in treatment-naive TB patients.

The link between gut microbiota and host immunity motivated numerous studies of the gut microbiome in tuberculosis (TB) patients. However, these studies did not explore the metabolic capacity of the gut community, which is a key axis of impact on the host's immunity. We used deep sequencing of fecal samples from 23 treatment-naive TB patients and 48 healthy donors to reconstruct the gut microbiome's metabolic capacity and strain/species-level content. We show that the systematic depletion of the commensal flora of the large intestine, Bacteroidetes, and an increase in Actinobacteria, Firmicutes, and Proteobacteria such as Streptococcaceae, Erysipelotrichaceae, Lachnospiraceae, and Enterobacteriaceae explains the strong taxonomic divergence of the gut community in TB patients. The cumulative expansion of diverse disease-associated pathobionts in patients reached 1/4 of the total gut microbiota, suggesting a heavy toll on host immunity along with MTB infection. Reconstruction of metabolic pathways showed that the microbial community in patients shifted toward rapid growth using glycolysis and excess fermentation to produce acetate and lactate. Higher glucose availability in the intestine likely drives fermentation to lactate and growth, causing acidosis and endotoxemia. Excessive fermentation and lactic acidosis likely characterize TB patients' disturbed gut microbiomes. Since lactic acidosis strongly suppresses the normal gut flora, directly interferes with macrophage function, and is linked to mortality in TB patients, our findings highlight gut lactate acidosis as a novel research focus. If confirmed, gut acidosis may be a novel potential host-directed treatment target to augment traditional TB treatment.

Microbial butyrate capacity is reduced in inflamed mucosa in patients with ulcerative colitis

Reduced butyrate-production capacity has been reported in fecal microbial communities in patients with active ulcerative colitis. However, the butyrate-production capacity of the mucosal microbiome from active vs quiescent mucosa in ulcerative colitis has been unexplored. We sought to determine the diversity and relative abundance of mucosal bacterial and fungal communities from endoscopically active vs quiescent mucosa in patients with UC, and aimed to predict contributions of mucosal microbial communities to butyrate synthesis. Systematic, segmental right- and left-sided biopsies were obtained from endoscopically active (n = 13) or quiescent (n = 17) colonic mucosa, among 15 patients with pan-colonic ulcerative colitis. Dietary fiber intake of patients was performed using the validated five-item FiberScreen questionnaire. Amplicon sequencing of mucosal bacteria and fungi was performed. The diversity and relative abundance of mucosal bacterial and fungal taxa were quantified, and predicted contributions to butyrate synthesis were ascertained. Bacterial alpha and beta diversity were similar between active vs quiescent mucosa. Butyrogenic taxa were significantly increased in quiescence, including Butyricimonas, Subdoligranulum, and Alistipes. Predicted butyrate kinase activity was significantly and concomitantly increased in quiescent mucosa. Fiber intake was positively correlated with butyrogenic microbes. Compared to mucosal bacterial prevalence, mucosal fungi were detected in low prevalence. Butyrogenic microbes are relatively increased in quiescent mucosa in ulcerative colitis, and may be related to increased fiber intake during quiescence. Manipulation of the mucosal microbiome towards butyrate-producing bacteria may be associated with endoscopic quiescence.

Evolution of the functionality of microbial communities in patients with metastatic renal cell carcinoma (mRCC) receiving cabozantinib (cabo)/nivolumab (nivo) with or without CBM588: A randomized clinical trial.

460 Background: Our team has previously demonstrated in two prospective studies that the live bacterial product CBM588 may enhance clinical outcomes in patients with mRCC (Ebrahimi et al ASCO 2023, Dizman et al Nature Med 2022). In the current study, we sought to determine if gut microbial functionality is associated with clinical outcomes in patients with mRCC treated with cabo/nivo with or without CBM588. Methods: Pts ≥18 yrs old with histologically verified (clear-cell, papillary, or sarcomatoid component) mRCC and no prior systemic therapy for metastatic disease were enrolled and randomized 1:2 to receive either cabo/nivo at the standard dose/schedule alone or with CBM588 dosed at 80mg PO BID. Whole metagenome sequencing was performed on stool specimens collected at baseline and week 12 of treatment. Taxonomic profiling was conducted using MetaPhlAn 4, and functional profiling was performed using HUMAnN 3. HUMAnN 3 annotates open reading frames and provides highly accurate information on metabolic pathways and other molecular functions from metagenomic or metatranscriptomic sequencing data. The ANCOM-BC was used to detect the taxonomic/genetic features with differential abundance between two time-points within the same treatment arm. Results: A total of 30 (20:10 M:F) pts were enrolled with a median age of 65 (36-84). 5 pts (17%) had sarcomatoid features, and 2 pts (7%) had predominant papillary histology. Objective response was achieved in 20% and 65% of the pts in the cabo/nivo and cabo/nivo/CBM588 arm, respectively. Significant changes in 9 metabolic pathways (1 upregulation, 8 downregulation) in the control arm and 7 metabolic pathways (2 upregulation, 5 with downregulation) in the experimental arm were identified. Superpathways of biosynthesis of different forms of menaquinole, a reversible redox component of the electron transfer chain, were depleted with cabo/nivo treatment. In contrast, the biosynthesis of menaquinol-8 and 1,4 dihydroxy-6-naphthoate (an intermediate of the menaquinone pathway) were upregulated in cabo/nivo/CBM588 arm. Conclusions: Our interrogation of metabolic dynamics and pathways in patients receiving CBM588 suggests key differences in biosynthesis pathways of menaquinone between control and experimental arms. Menaquinones (vitamin K2 derivatives) have been previously reported to induce apoptosis in many cancer cell types and also increase the objective response rate to sorafenib in patients with hepatocellular carcinoma. Our findings provide mechanistic evidence for the effect of the addition of CBM588 to cabo/nivo on gut microbiome function and the resultant improvement in clinical outcomes in mRCC, potentially through enhancing the enteric production of vitamin K2. Clinical trial information: NCT05122546 .

Oral microbiota in periodontitis patients with and without type 2 diabetes mellitus and their shifts after the nonsurgical periodontal therapy

ObjectiveTo investigate the shift in the oral microbiota of periodontitis patients with and without type 2 diabetes mellitus (T2DM) undergoing nonsurgical periodontal treatment and its implications. MethodsEleven patients with chronic periodontitis and eleven patients with chronic periodontitis and diabetes from the Second Affiliated Hospital of Chongqing Medical University received nonsurgical periodontitis treatment and were re-evaluated 3 months later. DNA from the saliva and subgingival plaques was amplified and sequenced using 16S ribosomal RNA (16S rRNA) gene sequencing for microbiome profiling. Clinical indexes at the onset and after periodontal therapy were recorded and compared. ResultsThe species richness and dominant microbiota of periodontitis patients with and without T2DM changed significantly after nonsurgical periodontal treatment in both saliva and subgingival plaques. The periodontal condition of the patients was also effectively improved three months after therapy. Glycemic control in patients with periodontitis and T2DM was improved. Additionally, nonsurgical periodontal therapy could increase in subgingival microbial diversity and the proportion of health-associated bacteria but a proportional reduction in pathogenic bacteria in periodontitis patients with T2DM. Network analysis revealed fewer links and a lower level of centralization in the chronic periodontitis (CP) group after treatment. However, more links and a higher network density of the networks were found in the CP + T2DM group, suggesting a more stable microbial community after treatment. ConclusionsThere were significant differences in both the structural composition and reaction of the oral microbiota to periodontal treatment between periodontitis patients with and without T2DM. Nonsurgical periodontal treatment can improve metabolic control, decrease the proportion of periodontal pathogens in oral conditions, and help stabilize microbial communities in patients with periodontitis and T2DM. Furthermore, nonsurgical periodontal treatment may be a potential supplementary approach for managing T2DM.

Oral microbial changes and oral disease management before and after the treatment of hematological malignancies: a narrative review.

Patients with hematological malignancies have dynamic changes in oral microbial communities before and after treatment. This narrative review describes the changes in oral microbial composition and diversity, and discusses an oral microbe-oriented strategy for oral disease management. A literature search was performed in PubMed/Medline, Web of Science, and Embase for articles published between 1980 and 2022. Any articles on the changes in oral microbial communities in patients with hematological malignancies and their effects on disease progression and prognosis were included. Oral sample detection and oral microbial sequencing analysis of patients with hematological malignancies showed a correlation between changes in oral microbial composition and diversity and disease progression and prognosis. The possible pathogenic mechanism of oral microbial disorders is the impairment of mucosal barrier function and microbial translocation. Probiotic strategies, antibiotic strategies, and professional oral care strategies targeting the oral microbiota can effectively reduce the risk of oral complications and the grade of severity in patients with hematological malignancies. This review provides dentists and hematologists with a comprehensive understanding of the host-microbe associated with hematologic malignancies and oral disease management advice.

Ecological shifts of salivary microbiota associated with metabolic-associated fatty liver disease.

Metabolic-associated fatty liver disease (MAFLD) is the most common chronic liver disease related to metabolic syndrome. However, ecological shifts in the saliva microbiome in patients with MAFLD remain unknown. This study aimed to investigate the changes to the salivary microbial community in patients with MAFLD and explore the potential function of microbiota. Salivary microbiomes from ten MAFLD patients and ten healthy participants were analyzed by 16S rRNA amplicon sequencing and bioinformatics analysis. Body composition, plasma enzymes, hormones, and blood lipid profiles were assessed with physical examinations and laboratory tests. The salivary microbiome of MAFLD patients was characterized by increased α-diversity and distinct β-diversity clustering compared with control subjects. Linear discriminant analysis effect size analysis showed a total of 44 taxa significantly differed between the two groups. Genera Neisseria, Filifactor, and Capnocytophaga were identified as differentially enriched genera for comparison of the two groups. Co-occurrence networks suggested that the salivary microbiota from MAFLD patients exhibited more intricate and robust interrelationships. The diagnostic model based on the salivary microbiome achieved a good diagnostic power with an area under the curve of 0.82(95% CI: 0.61-1). Redundancy analysis and spearman correlation analysis revealed that clinical variables related to insulin resistance and obesity were strongly associated with the microbial community. Metagenomic predictions based on Phylogenetic Investigation of Communities by Reconstruction of Unobserved States revealed that pathways related to metabolism were more prevalent in the two groups. Patients with MAFLD manifested ecological shifts in the salivary microbiome, and the saliva microbiome-based diagnostic model provides a promising approach for auxiliary MAFLD diagnosis.

Reproducible changes in the anorexia nervosa gut microbiota following inpatient therapy remain distinct from non-eating disorder controls

ABSTRACT The composition of the gut microbiota in patients with anorexia nervosa (AN), and the ability of this microbial community to influence the host, remains uncertain. To achieve a broader understanding of the role of the intestinal microbiota in patients with AN, we collected fecal samples before and following clinical treatment at two geographically distinct eating disorder units (Center of Excellence for Eating Disorders [UNC-CH] and ACUTE Center for Eating Disorders [Denver Health]). Gut microbiotas were characterized in patients with AN, before and after inpatient treatment, and in non-eating disorder (non-ED) controls using shotgun metagenomic sequencing. The impact of inpatient treatment on the AN gut microbiota was remarkably consistent between eating disorder units. Although weight in patients with AN showed improvements, AN microbiotas post-treatment remained distinct from non-ED controls. Additionally, AN gut microbiotas prior to treatment exhibited more fermentation pathways and a lower ability to degrade carbohydrates than non-ED controls. As the intestinal microbiota can influence nutrient metabolism, our data highlight the complex microbial communities in patients with AN as an element needing further attention post inpatient treatment. Additionally, this study defines the effects of renourishment on the AN gut microbiota and serves as a platform to develop precision nutrition approaches to potentially mitigate impediments to recovery.

A potential oral microbiome signature associated with coronary artery disease in Tunisia.

The coronary artery disease (CAD) is a chronic inflammatory disease involving genetic as well as environmental factors. Recent evidence suggests that the oral microbiome has a significant role in triggering atherosclerosis. The present study assessed the oral microbiome composition variation between coronary patients and healthy subjects in order to identify a potential pathogenic signature associated with CAD. We performed metagenomic profiling of salivary microbiomes by 16S ribosomal RNA (rRNA) next-generation sequencing. Oral microbiota profiling was performed for 30 individuals including 20 patients with CAD and ten healthy individuals without carotid plaques or previous stroke or myocardial infarction.We found that oral microbial communities in patients and healthy controls are represented by similar global core oral microbiome. The predominant taxa belonged to Firmicutes (genus Streptococcus, Veillonella, Granulicatella, Selenomonas), Proteobacteria (genus Neisseria, Haemophilus), Actinobacteria (genus Rothia), Bacteroidetes (genus Prevotella, Porphyromonas), and Fusobacteria (genus Fusobacterium, Leptotrichia). More than 60% relative abundance of each sample for both CAD patients and controls is represented by three major genera including Streptococcus (24.97 and 26.33%), Veillonella (21.43 and 19.91%), and Neisseria (14.23 and 15.33%).Using penalized regression analysis, the bacterial genus Eikenella was involved as the major discriminant genus for both status and Syntax score of CAD. We also reported a significant negative correlation between Syntax score and Eikenella abundance in coronary patients’ group (Spearman rho = −0.68, P=0.00094).In conclusion, the abundance of Eikenella in oral coronary patient samples compared with controls could be a prominent pathological indicator for the development of CAD.

Analysis of Conjunctival Sac Microbiome in Dry Eye Patients With and Without Sjögren's Syndrome

PurposeTo analyze the conjunctival sac microbial communities in patients with Sjögren's syndrome-associated dry eyes (SSDE) and non-Sjögren's syndrome-associated dry eyes (NSSDE), compared with normal controls (NC).MethodsConjunctival sac swab samples from 23 eyes of SSDE, 36 eyes of NSSDE, and 39 eyes of NC were collected. The V3–V4 region of the 16S ribosomal RNA (rRNA) gene high-throughput sequencing was performed on an Illumina MiSeq platform and analyzed using Quantitative Insights Into Microbial Ecology (QIIME). Alpha diversity was employed to analyze microbiome diversity through Chao1 and Shannon indexes. Beta diversity was demonstrated by the principal coordinates analysis (PCoA) and Partial Least Squares Discrimination Analysis (PLS-DA). The relative abundance was bioinformatically analyzed at the phylum and genus levels.ResultsThe alpha diversity was lower in patients with dry eye disease (Shannon index: NC vs. SSDE: P = 0.020, NC vs. NSSDE: P = 0.029). The beta diversity showed divergent microbiome composition in different groups (NC vs. SSDE: P = 0.001, NC vs. NSSDE: P = 0.001, NSSDE vs. SSDE: P = 0.005). The top 5 abundant phyla were Firmicutes, Proteobacteria, Actinobacteriota, Bacteroidota, and Cyanobacteria in all three groups. The top five abundant genera included Acinetobacter, Staphylococcus, Bacillus, Corynebacterium, and Clostridium_sensu_stricto_1. The relative microbiome abundance was different between groups. The Firmicutes/Bacteroidetes (F/B) ratio was 6.42, 7.31, and 9.71 in the NC, NSSDE, and SSDE groups, respectively (NC vs. SSDE: P = 0.038, NC vs. NSSDE: P = 0.991, SSDE vs. NSSDE: P = 0.048).ConclusionThe diversity of conjunctival sac microbiome in patients with NSSDE and SSDE was diminished compared with NC. The main microbiome at the phylum and genus level were similar between groups, but the relative abundance had variations. The Firmicutes/Bacteroidetes ratio was higher in the SSDE group.

Dysbiosis of Oral and Gut Microbiomes in SARS-CoV-2 Infected Patients in Bangladesh: Elucidating the Role of Opportunistic Gut Microbes.

Coronavirus disease-2019 (COVID-19) is an infectious disease caused by SARS-CoV-2 virus. The microbes inhabiting the oral cavity and gut might play crucial roles in maintaining a favorable gut environment, and their relationship with SARS-CoV-2 infection susceptibility and severity is yet to be fully explored. This study investigates the diversity and species richness of gut and oral microbiota of patients with COVID-19, and their possible implications toward the severity of the patient's illness and clinical outcomes. Seventy-four (n = 74) clinical samples (gut and oral) were collected from 22 hospitalized patients with COVID-19 with various clinical conditions and 15 apparently healthy people (served as controls). This amplicon-based metagenomic sequencing study yielded 1,866,306 paired-end reads that were mapped to 21 phyla and 231 classified genera of bacteria. Alpha and beta diversity analyses revealed a distinct dysbiosis of the gut and oral microbial communities in patients with COVID-19, compared to healthy controls. We report that SARS-CoV-2 infection significantly reduced richness and evenness in the gut and oral microbiomes despite showing higher unique operational taxonomic units in the gut. The gut samples of the patients with COVID-19 included 46 opportunistic bacterial genera. Escherichia, Shigella, and Bacteroides were detected as the signature genera in the gut of patients with COVID-19 with diarrhea, whereas a relatively higher abundance of Streptococcus was found in patients with COVID-19 having breathing difficulties and sore throat (BDST). The patients with COVID-19 had a significantly lower abundance of Prevotella in the oral cavity, compared to healthy controls and patients with COVID-19 without diabetes, respectively. The altered metabolic pathways, including a reduction in biosynthesis capabilities of the gut and oral microbial consortia after SARS-CoV-2 infection, were also observed. The present study may, therefore, shed light on interactions of SARS-CoV-2 with resilient oral and gut microbes which might contribute toward developing microbiome-based diagnostics and therapeutics for this deadly pandemic disease.

Characteristics of the colonic microbiome in patients with different obesity phenotypes (the original article)

Introduction. The concept of heterogeneity in obesity depending on the risk of developing cardiometabolic complications has garnered attention in recent decades, since not everyone with obesity goes on to develop metabolic dysfunction.The aim of the work is to study specific characteristics of colonic microbial communities in patients with different obesity phenotypes and in healthy individuals by employing metagenomics methods.Materials and methods. A total of 265 individuals (44 men and 221 women; mean age 47.1 ± 4.8 years) were enrolled in the study. They were further divided into clinical groups: Healthy normal-weight individuals (n = 129); patients with obesity (n = 136), including metabolically healthy obesity (n = 40) and metabolically unhealthy obesity (n = 55). Quantitative and qualitative assessment of the intestinal microbiome was based on metagenomic analysis. Fecal samples were used to isolate DNA and perform sequencing of the variable v3-v4 region of the 16S rRNA gene.Results. The study revealed statistically significant (p 0.05) differences between quantitative and qualitative variables in studied phylotypes of colonic microorganisms in healthy individuals without obesity and in patients with different obesity phenotypes.Discussion. Patients with obesity had higher levels of Bacteroidetes, Proteobacteria and lower levels of Actinobacteria, Firmicutes, TM7 (Saccharibacteria), Fusobacteria, and more frequently detected phyla Tenericutes, Planctomycetes and Lentisphaerae compared to healthy individuals. Metabolically healthy obese patients had more rarely detected phylum Lentisphaerae in their colonic microbiome, increased numbers of Firmicutes and reduced numbers of Bacteroidetes compared to metabolically unhealthy obese patients.Conclusion. The findings demonstrate alterations in the colonic microbiome in patients with different obesity phenotypes.

16S rRNA gene sequencing of rectal swab in patients affected by COVID-19.

COronaVIrus Disease-2019 (COVID-19) is a pandemic respiratory infection caused by a new betacoronavirus, the Severe Acute Respiratory Syndrome-CoronaVirus-2 (SARS-CoV-2). Few data are reported on the gut microbiota in COVID-19 patients. 16S rRNA gene sequencing was performed to reveal an altered composition of the gut microbiota in patients with COVID-19 pneumonia admitted in intensive care unit (ICU) (i-COVID19), or in infectious disease wards (w-COVID19) as compared to controls (CTRL). i-COVID19 patients showed a decrease of Chao1 index as compared to CTRL and w-COVID19 patients indicating that patients in ICU displayed a lower microbial richness while no change was observed as for Shannon Index. At the phylum level, an increase of Proteobacteria was detected in w-COVID19 patients as compared to CTRL. A decrease of Fusobacteria and Spirochetes has been found, with the latter decreased in i-COVID19 patients as compared to CTRL. Significant changes in gut microbial communities in patients with COVID-19 pneumonia with different disease severity compared to CTRL have been identified. Our preliminary data may provide valuable information and promising biomarkers for the diagnosis of the disease and, when validated in larger cohort, it could facilitate the stratification of patients based on the microbial signature.

Shifts in the Bacterial Community of Supragingival Plaque Associated With Metabolic-Associated Fatty Liver Disease.

Metabolic-associated fatty liver disease (MAFLD), also known as the hepatic manifestation of metabolic disorders, has become one of the most common chronic liver diseases worldwide. The associations between some oral resident microbes and MAFLD have been described. However, changes to the oral microbial community in patients with MAFLD remain unknown. In this study, variations to the supragingival microbiota of MAFLD patients were identified. The microbial genetic profile of supragingival plaque samples from 24 MAFLD patients and 22 healthy participants were analyzed by 16S rDNA sequencing and bioinformatics analysis. Clinical variables, including indicators of insulin resistance, obesity, blood lipids, and hepatocellular damage, were evaluated with laboratory tests and physical examinations. The results showed that the diversity of the supragingival microbiota in MAFLD patients was significantly higher than that in healthy individuals. Weighted UniFrac principal coordinates analysis and partial least squares discriminant analysis showed that the samples from the MAFLD and control groups formed separate clusters (Adonis, P = 0.0120). There were 27 taxa with differential distributions (linear discriminant analysis, LDA>2.0) between two groups, among which Actinomyces spp. and Prevotella 2 spp. were over-represented in the MAFLD group with highest LDA score, while Neisseria spp. and Bergeyella spp. were more abundant in the control group. Co-occurrence networks of the top 50 abundant genera in the two groups suggested that the inter-genera relationships were also altered in the supragingival plaque of MAFLD patients. In addition, in genus level, as risk factors for the development of MAFLD, insulin resistance was positively correlated with the abundances of Granulicatella, Veillonella, Streptococcus, and Scardovia, while obesity was positively correlated to the abundances of Streptococcus, Oslenella, Scardovia, and Selenomonas. Metagenomic predictions based on Phylogenetic Investigation of Communities by Reconstruction of Unobserved States revealed that pathways related to sugar (mainly free sugar) metabolism were enriched in the supragingival plaque of the MAFLD group. In conclusion, as compared to healthy individuals, component and interactional dysbioses were observed in the supragingival microbiota of the MAFLD group.

Characterising the urinary microbial community in patients with symptoms of urinary tract infection

Background. Every year 250 million individuals develop urinary tract infections (UTI), the diagnosis of which, usually involves the ‘gold standard’ midstream urine culture (MSU) test. Prompt detection aided by sensitive tests may increase the likelihood of successful treatment. However, recent evidence highlights the potential inadequacies of this test. Methods. We assessed the UK’s MSU culture by comparison with enhanced culture techniques and 16S rRNA gene sequencing. With ethical approval, patients attending their first consultation at the Whittington Hospital Clinic and asymptomatic controls provided MSU specimens. Each specimen was submitted to the Hospital Microbiology laboratory for MSU culture. 16S rRNA gene sequencing was performed on 1ml unspun urine and 30ml of centrifuged urine. Results. Urine specimens were analysed for 33 patients (mean age= 49 years, sd=16.5) and 29 controls (mean age=40.7 years, sd=15.7). Comparison of routine MSU cultures between patients and controls indicated that the test failed to discriminate between patients and controls(χ2= 0.539, df = 1, P = 0.674).Bacterial DNA was detected in 97.0% patients and 89.7% controls. Enterobacteriaceae was most abundant in patients, whereas Streptococcus dominated in controls. A higher distribution of the median number of observed taxa (centrifuged and unspun samples combined) was seen in patients (χ2 = 8.0, df = 2, P &lt;0.05). Conclusion. The MSU culture failed to discriminate between patients and controls and missed recognised uropathogens that were detected with bacterial DNA sequencing. Microbial communities characterised by sequencing warrant further investigation to understand the role of each member in UTI.

Predictive Power of Gut Microbiome in the Clinical or Pathological Diagnosis of Diabetic Kidney Disease

Background: Diabetic kidney disease (DKD) is characterized by increasing incidence, deficient diagnostic methods and poor prognosis. Methods: Using 16S ribosomal RNA (rRNA) technique, we characterized the microbial community in patients with clinically or pathologically diagnosed DKD. Findings: Differences among groups included expanded opportunistic pathogens, sulfate-reducing bacteria and mucin-degrading bacteria and depleted bacteria producing short-chain fatty acids (SCFA) levels. Eleven microbiota-targeted markers could separate the DKD group (clinically diagnosed; n =120) from the HCDM group (DM =92, HC = 140) with an area under the curve (AUC) of 88.12% . We analyzed an independent cohort of 60 DKDs and 116 HCDMs (DM = 46, Con = 70) to assess the diagnostic efficiency, with an AUC of 79.75%. The predicted functional category referring lipid metabolism was increased in DKD, and metabolism of tyrosine, phenylalanine and tryptophan was increased in DM. DKD-enriched microbial markers were positively correlated with serum creatinine and 24h-proteinuria. We performed the same analysis on 22 biopsy-proved DKD (also named diabetic nephropathy, DN) and 22 membranous nephropathy (MN). Differences in gut microbiome were identified by linear discriminant analysis, and the relative abundance of nine genera could be used to differentiate DN from MN (AUC = 77.69%). Interpretation: The gut microbiome was associated with DKD/DN. Microbiota-associated biomarkers represent a new diagnostic test for DKD that distinguishes it from MN. Funding: The National Natural Science Foundation of China; Science and Technology Innovation Team of Henan; Foundation for Leading Personnel of Central Plains of China; National Key Research and Development Program of China. Declaration of Interests: The authors have declared that no competing interest exists. Ethics Approval Statement: Our study followed the Helsinki declaration. The Institutional Review Board of the First Affiliated Hospital of Zhengzhou University approved all protocols (2019-KY-361). All participants had the right to information about the study and signed a written informed consent before sample collection.

Re-initiation of Oral Food Intake Following Enteral Nutrition Alters Oral and Gut Microbiota Communities.

Stroke is associated with multiple forms of disability, including dysphagia. Post-stroke dysphagia increases the risks of pneumonia and mortality and often results in cessation of oral feeding. However, appropriate rehabilitation methods can eventually lead to resumption of oral food intake. This study tried to clarify that re-initiating oral food intake could modify the composition of oral/gut microbial communities in patients with dysphagia. From 78 patients with sub-acute stage of stroke, 11 complete tube feeding subjects without taking antibiotics were enrolled and received rehabilitation for re-initiation of oral food intake, and 8 subjects were brought back to complete oral feeding. Oral and gut microbiota community profiles were evaluated using 16S rRNA sequencing of the saliva and feces samples before and after re-initiation of oral food intake in patients recovering from enteral nutrition under the same nutrient condition. Standard nutrition in the hospital was 1,840 kcal, including protein = 75 g, fat = 45 g, and carbohydrates = 280 g both for tube and oral feeding subjects. Oral food intake increased oral and gut microbiome diversity and altered the composition of the microbiome. Oral and gut microbiome compositions were drastically different; however, the abundance of family Carnobacteriaceae and genus Granulicatella was increased in both the oral and gut microbiome after re-initiation of oral food intake. Although oral microbiota showed more significant changes than the gut microbiota, metagenome prediction revealed the presence of more differentially enriched pathways in the gut. In addition, simpler co-occurrence networks of oral and gut microbiomes, indicating improved dysbiosis of the microbiome, were observed during oral feeding as compared to that during tube feeding. Oral food intake affects oral and gut microbiomes in patients recovering from enteral nutrition. Rehabilitation for dysphagia can modify systemic health by increasing the diversity and altering the composition and co-occurrence network structure of oral and gut microbial communities.

Variations in gut microbial profiles in ankylosing spondylitis: disease phenotype-related dysbiosis.

Microbial involvement in ankylosing spondylitis (AS) has been suggested; however, the relationship between gut microbiome and the disease phenotypes of AS remains to be established. This study was to characterize and investigate differences in the gut microbiome between AS patients and healthy controls (HCs), and to determine whether the gut microbiome profile associated with the disease phenotypes. 16S rRNA gene V4 region sequencing was performed on fecal DNA isolated from stool samples collected from 41 patients with AS [20 axial AS (axAS) and 21 peripheral AS (pAS)] and 19 HCs. QIIME based pipeline was used to process the raw sequence data. Alpha and beta diversities were assessed using QIIME, and comparisons of gut microbiome profile were performed using linear discriminant analysis (LDA) effect size (LEfSe) to examine differences between groups and subgroups. A gut microbiota-based model for predictive diagnosis of AS was constructed using random forest algorithm and its predictive value was assessed by receiver-operating characteristic analyses. Our results showed that fecal microbial communities in patients with AS differ significantly from those in HCs, driven by a higher abundance of 7 genera (Prevotella_9, Dialister, Comamonas, Collinsella, Streptococcus, Alloprevotella and Prevotella_2) and a lower abundance of 4 genera (Eubacterium_ruminantium_group, Ruminococcus_gnavus_group, Lachnospira and Bacteroides). In addition, pAS patients were more enriched in Comamonas, Streptococcus and Collinsella, while axAS patients were more enriched in Prevotella_2. An 8 genera-based model showed high accuracy for distinguishing AS patients from HCs with an area under the curve (AUC) up to 0.950. Our results revealed specific alterations in the gut microbiome in patients with different phenotypes of AS, and the classification model based on gut microbial features might provide a new direction for future clinical diagnosis. Lastly, discovery of the associated microbes of AS in the gut microbiome may help us to seek more treatments for this disease.