Linear Discriminant Analysis Effect Size Research Articles

Exploring the Effects of Saorilao-4 on the Gut Microbiota of Pulmonary Fibrosis Model Rats Based on 16S rRNA Sequencing.

Pulmonary fibrosis (PF) is a progressive and incurable lung disease for which treatment options are limited. Here, we aimed to conduct an exploratory study on the effects of the Mongolian medicine Saorilao-4 (SRL) on the gut microbiota structure, species abundance, and diversity of a rat PF model as well as the mechanisms underlying such effects. Rat fecal samples were analyzed using 16S rRNA sequencing technology. Bioinformatic and correlation analyses were performed on microbiota data to determine significant associations. SRL substantially attenuated the adverse effects exerted by PF on the structure and diversity of gut microbiota while regulating its alpha and beta diversities. Linear discriminant analysis effect size enabled the identification of 62 differentially abundant microbial taxa. Gut microbiota abundance analysis revealed that SRL significantly increased the relative abundance of bacterial phyla such as Firmicutes and Bacteroidetes. Moreover, SRL increased the proportion of beneficial bacteria, such as Lactobacillus and Bifidobacteriales, decreased the proportion of pathogenic bacteria, such as Rikenellaceae, and balanced the gut microbiota by regulating metabolic pathways. SRL may attenuate PF by regulating gut microbiota. This exploratory study establishes the groundwork for investigating the metagenomics of PF.

Variations in soil microbial communities in different saline soils under typical Populus spp. vegetation in alpine region of the Qaidam Basin, NW China

Salinization is a severe threat to agriculture and the environment in many areas, and the same in Qaidam Basin, Qinghai Province, Northwestern China. Microorganisms have an important influence on regulating the biochemical cycles of ecosystems; however, systematic research exploring microbial diversity and interactions with saline-soil ecosystems’ environmental variables remains scarce. Thus, 16 S rRNA high-throughput sequencing was performed in this paper to characterize microbial diversity under different levels of salinized soils: non-salinized (NS, 2.25 g/L), moderately salinized (MS, 6.14 g/L) and highly salinized (HS, 9.82 g/L). The alpha diversity results showed that the HS soil was significantly different from the NS and MS soils. An analysis of similarity (ANOSIM) and a principal co-ordinates analysis (PCoA) indicated that NS and MS clustered closely while HS separated from the other two. Significant differences in microbial composition were observed at the taxonomic level. Proteobacteria (42.29–79.23 %) were the most abundant phyla in the studied soils. Gammaproteobacteria (52.49 and 66.61 %) had higher abundance in the MS and HS soils at the class level; Methylophaga and Pseudomonas were the predominant bacteria in the HS soil; and Azotobacter and Methylobacillus were abundant in the MS soil. Most genera belonging to Proteobacteria and Actinobacteria were detected via a linear discriminate analysis (LDA) effect size (LEfSe) analysis, which indicated that microbes with the ability to degrade organic matter and accomplish nutrient cycling can be well-adapted to salt conditions. Further analyses (redundancy analysis and Mantel test) showed that the microbial communities were mainly related to the soil salinity, electrical conductivity (EC1:5), total phosphorus (TP) and ammonia nitrogen (NH4+-N). Overall, the findings of the study can provide insights for better understanding the dominant indigenous microbes and their roles in biochemical cycles in different saline soils in the Qaidam Basin, Qinghai Province, China. The researches related to microbial community under typical poplar species should further clarify the mechanism of plant-microbial interaction and benefit for microbial utilization in salt soil remediation.

Multivariate Analysis and Correlation Study Shows the Impact of Anthropometric and Demographic Variables on Gut Microbiota in Obese Egyptian Children.

Deciphering the gut microbiome's link to obesity is crucial. Our study characterized the gut microbial community in Egyptian children and investigated the effect of covariates on the gut microbiome, body mass index (BMI), geographical location, gender, and age. We used 16S rRNA sequencing to characterize the gut microbial communities of 49 children. We then evaluated these communities for diversity, potential biomarkers, and functional capacity. Alpha diversity of the non-obese group was higher than that of the obese group (Chao1, P = 0.006 and observed species, P = 0.003). Beta diversity analysis revealed significant variations in the gut microbiome between the two geographical locations, Cairo and Ismailia (unweighted UniFrac, P = 0.03) and between obesity statuses, obese and non-obese (weighted UniFrac, P = 0.034; unweighted UniFrac, P = 0.015). We observed a significantly higher Firmicutes/Bacteroidetes ratio in obese males than in non-obese males (P = 0.004). Interestingly, this difference was not seen in females (P = 0.77). Multivariable association with linear models (MaAsLin2) identified 8 microbial features associated with obesity, 12 associated with non-obesity, and found 29 and 13 features specific to Cairo and Ismailia patients, respectively. It has also shown one microbial feature associated with patients under five years old. MaAsLin2, however, failed to recognize any association between gender and the gut microbiome. Moreover, it could find the most predominant features in groups 2-9 but not in group 1. Another method used in the analysis is the Linear discriminant analysis Effect Size (LEfSe) approach, which effectively identified 19 biomarkers linked to obesity, 9 linked non-obesity, 20 linked to patients residing in Cairo, 14 linked to patients in Ismailia, one linked to males, and 12 linked to females. LEfSe could not, however, detect any prevalent bacteria among children younger or older than five. Future studies should take advantage of such correlations, specifically BMI, to determine the interventions needed for obesity management.

Alteration of gut microbiota in Henoch-Schönlein purpura children with gastrointestinal involvement.

The compositional and structural changes of gut microbiota were closely related to the status of Henoch-Schönlein purpura (HSP). To investigate if clinical indicators and gut microbiota differ between HSP patients with or without gastrointestinal (GI) involvement and to explore the alterations of fecal microbiota in HSP children with and without GI symptoms. A total of 22 children with HSP were enrolled in the study. Fecal microbiota composition was analyzed by 16S rRNA sequencing. Clinical indicators, fecal microbial diversity, and compositions were compared between the two groups. Respectively, 9 patients with GI involvement (HSP-A) and 13 patients without GI involvement (HSP-N) were enrolled. Prealbumin (PA) and the ratio of immunoglobulin A (IgA) / complement (C)3 were significantly decreased in the HSP-A group and an elevated D-dimer was found in the HSP-N group. The relative abundances of Blautia, Lachnospira, and Haemophilus were significantly higher in the HSP-A group compared to HSP-N. Lower levels of unidentified Prevotellaceae, Parabacteroides, and Romboutsia were found in HSP-A patients. The linear discriminant analysis effect size (LEfSe) showed that the biomarkers for the HSP-A group included Blautia, Anaerostipes, Veillonella, Lachnospira, and Haemophilus. For the HSP-N group, unidentified Prevotellaceae, Intestinibacter, Romboutsia, and Akkermansia were the prominent biomarkers at the genus level. Additionally, the ratio of IgA/C3 exhibited a negative correlation with the genus Blautia. Meanwhile, PA showed negatively correlation with Veillonella. These results provide a broader understanding for future microbial-based therapies to decrease the development of GI involvement and improve the clinical outcome of HSP in children.

P-327 A multicenter retrospective study of the investigation of detailed immunological inflammatory grading for chronic endometritis and their correlation with the endometrial microbiome

Abstract Study question There exists refractory chronic endometritis which does not respond to antibiotic treatment. This study aims to elucidate its pathogenesis and develop detection methods. Summary answer Through treatment intervention for chronic endometritis (CE), the inflammatory grade decreased overall and the bacteria most associated with endometritis were Lactobacillus iners. What is known already CE and endometrial dysbiosis have been reported to be associated with recurrent pregnancy loss (RPL) and recurrent implantation failure (RIF), but there is insufficient data confirming the interrelation between them. Moreover, the diagnosis of CE typically involves single immunohistochemical staining with CD138, but the diagnostic criteria vary across reports (e.g., McQueen’s method, Liu’s method, etc.) and moreover, use of this classical inflammatory assessment methods raises concerns about their sufficiency in evaluating the pathogenesis of endometritis in cases of RPL and RIF. Study design, size, duration A retrospective analysis was conducted on 206 samples of endometrial specimens collected from infertile patients at seven participating assisted reproductive healthcare facilities from 2021 to 2023. Among these, 73 samples (from 48 cases) had undergone both histological examination and simultaneous endometrial microbiome testing, and data on pregnancy outcomes (including implantation success and ongoing pregnancy rate) were collected until December 2023 for these cases. Participants/materials, setting, methods The endometrial specimens from cases with RIF or RPL were obtained through intrauterine aspiration in luteal phase. Immunohistochemical staining using CD138, CD56, and CD8 antibodies was performed. A composite grading for endometritis, based on histological findings and immunohistochemistry intensity, was established (INF grading; grade 0 to 5). Furthermore, a portion of the specimens underwent microbiome analysis using next-generation sequencing targeting the 16SrRNA, exploring correlations between bacterial taxa, abundance, histological findings, and pregnancy outcomes. Main results and the role of chance Among analyzed 48 cases, 11 cases underwent repeated endometrial microbiome analysis post-treatment again, while 7 cases had additional testing without improvement in chronic endometritis (CE) or endometrial dysbiosis. The McQueen’s method diagnosed 27 cases with CE, while the Liu method identified 4 cases. According to our INF grading, 11 cases were classified as endometritis grade 3 or above. Successful embryo implantation was achieved in 18 cases (37.5%), with ongoing pregnancy in 13 cases (27.1%). CE treatment involved broad-spectrum oral antibiotics, mainly doxycycline and metronidazole, resulting in improvement to grade 2 or below in 9 out of 11 cases with INF grade 3 or above. However, clear associations between pregnancy outcomes and INF grades were not apparent, with the most significant correlation found in CE diagnosis using Liu’s method. Analyzing biomarkers for CE through LEfSe (Linear discriminant analysis effect size), both McQueen’s method and INF grading 2 or above were associated with the intrauterine presence of Lactobacillus iners. Estimating endometrial inflammation based on intrauterine Lactobacillus iners presence yielded an AUC of 0.733 for McQueen’s CE and 0.723 for INF grade 2 or above. Limitations, reasons for caution This study is a retrospective analysis, and the treatment protocols and intervention criteria for chronic endometritis vary among different facilities. The number of cases is also limited, and it is desirable to conduct a unified prospective multicenter cohort study with consistent protocols. Wider implications of the findings The combination of the endometrial microbiome testing and detailed inflammatory grading suggests the potential for establishing appropriate treatment intervention strategies and predicting the success rate of infertile treatment. Since Lactobacillus iners tends to colonize extensively in the vaginal environment of East Asian women, it is necessary to explore region-specific measures. Trial registration number not appicable

Sequence analysis of microbiota in clinical human cases with diabetic foot ulcers from China

BackgroundDiabetic foot ulcers (DFU) seriously threaten the health and quality of life of patients. The microbiota is the primary reason for the refractory and high recurrence of DFU. This study aimed to determine the wound microbiota at different DFU stages. MethodsWound samples were collected from 48 patients with DFU and divided into three phases: inflammatory (I, n = 49), proliferation (P, n = 22), and remodeling (R, n = 19). The wound samples obtained at different stages were then subjected to 16S rRNA gene sequencing. The number of operational taxonomic units (OTUs) in the different groups was calculated according to the criterion of 97% sequence similarity. The diversity of the microbiota differentially presented bacterial taxa at the phylum and genus levels, and important phyla and genera in the different groups were further explored. ResultsAfter sequencing, 3351, 925, and 777 OTUs were observed in groups I, P, and R, respectively, and 175 OTUs overlapped. Compared with the inflammatory stage, the α-diversity of wound microbiota at proliferation and remodeling stages was significantly decreased (P < 0.05). At the phylum level, Firmicutes, Proteobacteria, Actinobacteriota, and Bacteroidota were the dominant phyla, accounting for more than 90% of all the phyla. At the genus level, Random Forest and linear discriminant analysis effect size analyses showed that Peptoniphilus, Lactobacillus, Prevotella, Veillonella, Dialister, Streptococcus, and Ruminococcus were the signature wound microbiota for the inflammatory stage; Anaerococcus, Ralstonia, Actinomyces, and Akkermansia were important species for the proliferation stage; and the crucial genera for the remodeling stage were Enterobacter, Pseudomonas, Sondgrassella, Bifidobacterium, and Faecalibacterium. ConclusionsThere were significant differences in the composition and structure of the wound microbiota in patients with DFU at different stages, which may lay a foundation for effectively promoting wound healing in DFU.

Behavior of Spoilage Bacterial Communities in Different Cuts of Enshi Black Pork under Refrigerated Storage (4 °C).

The Enshi black pig is a Chinese native breed known for its rich nutrition content and high quality, which has notable traction in the consumer market. In this study, the potential impact of the main commercial cuts from Enshi black pork carcasses (ham, loin, and belly) on the bacteria community of spoiled meat under refrigerated storage (4 °C) was assessed by using a high-throughput sequencing method. Moreover, the spoilage potential of isolated strains from spoiled pork was investigated. The results demonstrated significant differences (p < 0.05) in bacterial community diversity and composition among spoiled ham, loin, and belly samples. Linear discriminant analysis effect size (LEfSe) analysis revealed a total of 20 significantly different potential bacterial biomarkers, with the dominant genera of Pseudomonas, Psychrobacter, Shewanella and Carnobacterium. Additionally, C. divergens THT1-5, isolated from spoiled ham samples, displayed cold adaptation and higher spoilage potential in Enshi black pork. These findings are helpful for identifying key factors contributing to spoilage in Enshi black pork and developing strategies to inhibit bacterial growth during preservation.

Sequence analysis of microbiota in clinical human cases with diabetic foot ulcers from China

BackgroundDiabetic foot ulcers (DFU) seriously threaten the health and quality of life of patients. The microbiota is the primary reason for the refractory and high recurrence of DFU. This study aimed to determine the wound microbiota at different DFU stages. MethodsWound samples were collected from 48 patients with DFU and divided into three phases: inflammatory (I, n = 49), proliferation (P, n = 22), and remodeling (R, n = 19). The wound samples obtained at different stages were then subjected to 16S rRNA gene sequencing. The number of operational taxonomic units (OTUs) in the different groups was calculated according to the criterion of 97 % sequence similarity. The diversity of the microbiota differentially presented bacterial taxa at the phylum and genus levels, and important phyla and genera in the different groups were further explored. ResultsAfter sequencing, 3351, 925, and 777 OTUs were observed in groups I, P, and R, respectively, and 175 OTUs overlapped. Compared with the inflammatory stage, the α-diversity of wound microbiota at proliferation and remodeling stages was significantly decreased (P < 0.05). At the phylum level, Firmicutes, Proteobacteria, Actinobacteriota, and Bacteroidota were the dominant phyla, accounting for more than 90 % of all the phyla. At the genus level, Random Forest and linear discriminant analysis effect size analyses showed that Peptoniphilus, Lactobacillus, Prevotella, Veillonella, Dialister, Streptococcus, and Ruminococcus were the signature wound microbiota for the inflammatory stage; Anaerococcus, Ralstonia, Actinomyces, and Akkermansia were important species for the proliferation stage; and the crucial genera for the remodeling stage were Enterobacter, Pseudomonas, Sondgrassella, Bifidobacterium, and Faecalibacterium. ConclusionsThere were significant differences in the composition and structure of the wound microbiota in patients with DFU at different stages, which may lay a foundation for effectively promoting wound healing in DFU.

The bacterial community drive the humification and greenhouse gas emissions during plant residues composting under different aeration rates

ABSTRACT This study investigated the effects of different aeration intensities on organic matter (OM) degradation, greenhouse gas emissions (GHG) as well as humification during plant residue composting. Three intermittent aeration intensities of 0.084 (T low), 0.19 (T medium) and 0.34 (T high) L min−1kg−1 DM with 30 min on/30 min off were conducted on a lab-scale composting experiment. Results showed that OM mineralization in T high was more evident than T low and T medium, resulting in the highest humic acid content. Humic acid content in T medium and T high was 15.7% and 18.5% higher than that in T low. The average O2 concentration was 4.9%, 9.5% and 13.6% for T low, T medium and T high. Compared with T medium and T high, T low reduced CO2 and N2O emissions by 18.3%–39.6% and 72.4%–63.9%, but the CH4 emission was highest in T low. But the total GHG emission was the lowest in T high. Linear Discriminant Analysis Effect Size analysis showed that the core bacteria within T low mainly belonged to Anaerolineaceae, which was significantly negatively correlated to the emission of CH4. Thermostaphylospora, Unclassified_Vicinamibacteraceae and Sulfurifustis were identified as core bacteria in T medium and T high, and these genus were significantly postively correlated to CO2 and N2O emissions. Redundancy analysis showed that total orgnic carbon, O2 and electrical conductivity were the key factors affecting the evolution of bacterial community.

Unique microbial communities of parasitic fleas on wild animals from the Qinghai-Tibet Plateau.

Fleas, one of the most significant ectoparasites, play a crucial role as vectors in spreading zoonotic diseases globally. The Qinghai Province, as part of the Qinghai-Tibet Plateau, is one of the provinces in China with the largest number of flea species. In this study, we characterized the microbial communities of eighty-five adult fleas, belonging to nineteen species within four families (Ceratophyllidae, Ctenophthalmidae, Leptopsyllidae, and Pulicidae). We identified a total of 1162 unique operational taxonomic units at the genus level, with flea-borne pathogens such as Wolbachia, Bartonella, Rickettsia being the members of top abundant taxa. Except for comparison between Ctenophthalmidae and Leptopsyllidae families, the analyses of both alpha- and beta- diversity indicators suggested that bacterial diversity varied among flea families. This could be attributed to flea phylogeny, which also influenced by their geographical sites and animal hosts. Results of Linear discriminant analysis effect size (LEfSe) indicated that 29 genera in Ceratophylloidea, 11 genera in Ctenophthalmidae, 15 genera in Leptopsyllidae, and 22 genera in Pulicidae were significantly responsible for explaining the differences among the four flea families (linear discriminant analysis score > 2, P < 0.05). Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt2) analyses showed that the functional pathways varied significantly across flea families, which was supported by the significant correlation between the functional pathways and the microbial communities.

Honey Added to Yogurt with Bifidobacterium animalis subsp. lactis DN-173 010/CNCM I-2494 Supports Probiotic Enrichment but Does Not Reduce Intestinal Transit Time in Healthy Adults: A Randomized, Controlled, Crossover Trial

BackgroundHoney improves probiotic survival in vitro. However, if this effect translates to humans has not been investigated. ObjectivesWe aimed to determine effects of honey plus yogurt containing the probiotic Bifidobacterium animalis subsp. lactis DN-173 010/CNCM I-2494 (B. animalis) on intestinal transit time, probiotic enrichment, digestive health, mood, and cognition in adults. MethodsSixty-six healthy adults (34 female; 33.6 ± 9.8 y; 24.6 ± 3.0 kg/m2) in a crossover trial were randomly assigned to 2-wk yogurt conditions in a counterbalanced order with ≥4-wk washout: 1) Honey (HON): yogurt plus honey and 2) Negative Control (NC): heat-treated yogurt plus sugar. Of the participants, n = 62 completed the trial, and n = 37 (17 female; 32.0 ± 8.3 y; 25.0 ± 2.9 kg/m2) elected to enroll in a third condition (a nonrandomized study extension) after ≥4-wk washout with a reference Positive Control (PC): yogurt plus sugar. At baseline and end of each of the 3 conditions, intestinal transit time was measured with dye capsules; probiotic abundance with fecal DNA 16S sequencing; digestive health with symptom/function records, Bristol stool consistency, Gastrointestinal Tolerability, and Gastrointestinal Quality of Life Index; mood with Positive and Negative Affect Schedule-Short Form, Depression Anxiety Stress Scales-42, Patient-Reported Outcomes Measurement Information System questionnaires, and an emotional image task; and cognition with a spatial reconstruction task. Data were analyzed using linear mixed-effects models (LMMs) with significance at P ≤ 0.05. Baseline and end data were included in the LMM, with fixed effects being treatment, time, treatment by time interaction, and baseline covariate, and the random effect being the participant. ResultsB. animalis was enriched in HON (d = 3.54; P = 0.0002) compared to controls with linear discriminant analysis effect size. Intestinal transit time, gastrointestinal health, mood, and cognition did not differ between conditions (LMM: Ps > 0.05). ConclusionsYogurt + honey enriched B. animalis but did not reduce intestinal transit time or have other functional gastrointestinal, mood, or cognitive effects in adults.This trial was registered at www.clinicaltrials.gov as NCT04187950 and NCT04901390.

Variations in seminal microbiota and their functional implications in chickens adapted to high-altitude environments

Seminal fluid, once believed to be sterile, is now recognized as constituting a complex and dynamic environment inhabited by a diverse community of micro-organisms. However, research on the seminal microbiota in chickens is limited, and microbiota variations among different chicken breeds remain largely unexplored. In this study, we collected semen samples from Beijing You Chicken (BYC) and Tibetan Chicken (TC) and explored the characteristics of the microbiota using 16S rRNA gene sequencing. Additionally, we collected cloacal samples from the TC to control for environmental contamination. The results revealed that the microbial communities in the semen were significantly different from those in the cloaca. Firmicutes and Actinobacteriota were the predominant phyla in BYC and TC semen, respectively, with Lactobacillus and Phyllobacterium being the dominant genera in each group. Additionally, the seminal microbiota of BYC exhibited greater richness and evenness than that of TC. Principal coordinate analysis (PCoA) indicated significant intergroup differences between the seminal microbiotas of BYC and TC. Subsequently, by combining linear discriminant analysis effect size and random forest analyses, we identified Lactobacillus as the predominant microorganism in BYC semen, whereas Phyllobacterium dominated in TC semen. Furthermore, co-occurrence network analysis revealed a more intricate network in the BYC group than in the TC group. Additionally, unique microbial functional characteristics were observed in each breed, with TC exhibiting metabolic features potentially associated with their ability to adapt to high-altitude environments. The results of this study emphasized the unique microbiota present in chicken semen, which may be influenced by genetics and evolutionary history. Significant variations were observed between low-altitude and high-altitude breeds, highlighting the breed-specific implications of the seminal microbiota for reproduction and high-altitude adaptation.

Differences in maternal subgingival microbiome between preterm and term births: The MOHEPI study.

Periodontitis is a potential risk factor for preterm birth (PTB) in women; however, the causal relationship or the exact mechanism remain unknown. This study aimed to compare the oral microbiome features of mothers with full-term birth (FTB) with those who had preterm delivery. This study prospectively enrolled 60 women (30 mothers with PTB and 30 mothers with FTB), and subgingival plaque samples were collected and analysed by metagenomic 16S rDNA sequencing. Clinical measurements, including periodontal probing depth, clinical attachment level, modified gingival index (mGI) and plaque index, were performed to determine the periodontal state of the participants. Medical and obstetric data were collected as well. Among the periodontal measurements, mGI score, reflecting the level of gingival inflammation, exhibited a statistically significant association with PTB (adjusted odds ratio 2.705, 95% confidence interval 1.074-6.811, p = .035). When subgroup analysis was conducted based on mean mGI scores (mGI ≥ 2, high inflammation [HI] versus mGI < 2, low inflammation [LI]), microbiome analysis revealed clear distinctions in microbial compositions between PTB and FTB mothers in both the HI and LI groups. Especially in the HI group, alpha diversity exhibited a decreasing trend in PTB mothers compared to FTB mothers. Beta diversity also revealed significant differences between the two groups. In Linear Discriminant Analysis Effect Size analysis, certain anaerobic taxa, including the genera Spirochaetes, Treponema and Porphyromonas, were relatively abundant in the FTB/HI group, whereas the PTB/HI group showed a high abundance of the order Actinomycetales. Network analysis showed that the FTB/HI had relatively stronger connectivity in microbial composition than the PTB/HI group. Dysbiosis ratio of plaque microbiome, in terms of periodontitis, was significantly lower in PTB/HI group compared to FTB/HI group. The compositions of maternal subgingival microbiomes differed between PTB and FTB mothers in both the high and low levels of gingival inflammation groups. In the presence of high level of gingival inflammation, dysbiosis in plaque microbiome, in terms of periodontitis, was decreased in PTB mothers compared to FTB mothers.

Oral microbiome sequencing revealed the enrichment of Fusobacterium sp., Porphyromonas sp., Campylobacter sp., and Neisseria sp. on the oral malignant fibroma surface of giant panda.

Microbial community composition is closely associated with host disease onset and progression, underscoring the importance of understanding host-microbiota dynamics in various health contexts. In this study, we utilized full-length 16S rRNA gene sequencing to conduct species-level identification of the microorganisms in the oral cavity of a giant panda (Ailuropoda melanoleuca) with oral malignant fibroma. We observed a significant difference between the microbial community of the tumor side and non-tumor side of the oral cavity of the giant panda, with the latter exhibiting higher microbial diversity. The tumor side was dominated by specific microorganisms, such as Fusobacterium simiae, Porphyromonas sp. feline oral taxon 110, Campylobacter sp. feline oral taxon 100, and Neisseria sp. feline oral taxon 078, that have been reported to be associated with tumorigenic processes and periodontal diseases in other organisms. According to the linear discriminant analysis effect size analysis, more than 9 distinct biomarkers were obtained between the tumor side and non-tumor side samples. Furthermore, the Kyoto Encyclopedia of Genes and Genomes analysis revealed that the oral microbiota of the giant panda was significantly associated with genetic information processing and metabolism, particularly cofactor and vitamin, amino acid, and carbohydrate metabolism. Furthermore, a significant bacterial invasion of epithelial cells was predicted in the tumor side. This study provides crucial insights into the association between oral microbiota and oral tumors in giant pandas and offers potential biomarkers that may guide future health assessments and preventive strategies for captive and aging giant pandas.

Influence of Varied Environment Conditions on the Gut Microbiota of Yaks.

Despite the crucial role of the gut microbiota in different physiological processes occurring in the animal body, reports regarding the gut microbiota of animals residing in different environmental conditions like high altitude and different climate settings are limited. The Qinghai-Tibetan Plateau is renowned for its extreme climatic conditions that provide an ideal environment for exploring the effects of high altitude and temperature on the microbiota of animals. Yaks have unique oxygen delivery systems and genes related to hypoxic response. Damxung, Nyêmo, and Linzhou counties in Tibet have variable altitudes and temperatures that offer distinct settings for studying yak adaptation to elevated terrains. The results of our study suggest that amplicon sequencing of V3-V4 and internal transcribed spacer 2 (ITS2) regions yielded 13,683 bacterial and 1912 fungal amplicon sequence variants (ASVs). Alpha and beta diversity indicated distinct microbial structures. Dominant bacterial phyla were Firmicutes, Bacteroidota, and Actinobacteriota. Genera UCG-005, Christensenellaceae_R-7_group, and Rikenellaceae_RC9_gut_group were dominant in confined yaks living in Damxung county (DXS) and yaks living in Linzhou county (LZS), whereas UCG-005 prevailed in confined yaks living in Nyêmo county (NMS). The linear discriminant analysis effect size (LEfSe) analysis highlighted genus-level differences. Meta-stat analysis revealed significant shifts in bacterial and fungal community composition in yaks at different high altitudes and temperatures. Bacterial taxonomic analysis revealed that two phyla and 32 genera differed significantly (p < 0.05). Fungal taxonomic analysis revealed that three phyla and four genera differed significantly (p < 0.05). Functional predictions indicated altered metabolic functions, especially in the digestive system of yaks living in NMS. This study reveals significant shifts in yak gut microbiota in response to varying environmental factors, such as altitude and temperature, shedding light on previously unexplored aspects of yak physiology in extreme environments.

#395 Gut dysbiosis in ADPKD patients: a controlled pilot study

Abstract Background and Aims Gut dysbiosis has been associated with chronic kidney disease (CKD) and nephrolithiasis and may thus be a factor explaining variability of outcome in autosomal dominant polycystic kidney disease (ADPKD). However, beside a single pilot study the gut microbiome has not been studied in ADPKD. Due to the implications of microbiota in inflammation and crystal formation, we hypothesized that gut dysbiosis could also negatively affect PKD. For this reason, we aimed to characterize the intestinal microbiome in a controlled pilot study of PKD patients and explore the potential impact of dysbiosis on PKD disease progression. Method This study was designed as an observational, cross-sectional controlled pilot study. 25 ADPKD patients were recruited from the AD(H)PKD patient cohort. 12 healthy control subjects were age- and sex matched. Patients with chronic bowel disease were excluded. Serum parameters including eGFR were analyzed around the timepoint of stool collection. The gut microbiome was analyzed by 16S rRNA gene profiling of stool samples. The sequencing data was processed using the DADA2 pipeline and QIIME version 2. Differentially abundant features were identified using linear discriminant analysis (LDA) effect size (LEfSe) analysis. Bacteria-derived serum uremic toxins (total and free Trimethylaminoxid, Indoxylsulfate, p-Cresyl-Sulfate) were measured using liquid chromatography coupled to tandem mass spectrometry (LC- MS/MS). Microbiome data was then correlated with age, kidney function, and markers of PKD disease progression like Mayo classification and early onset of arterial hypertension or urologic complications (&amp;lt;35 years of age). Results Healthy control subjects revealed a significantly higher abundance Actinobacteria (LEfSe LDA score = 3.9, p = 0.025) including probiotic Bifidobacteriaceae (LEfSe LDA score = 3.9, p = 0.021). ADPKD patients displayed a significantly increased abundance of potentially dysbiotic Enterobacteriaceae (LEfSe LDA score = 3.6, p = 0.009). Those findings were independent of kidney function. Most notably, the abundance of Streptococcaceae were significantly overrepresented in PKD patients with Mayo Classes 1D and 1E compared to 1A-1C (p = 0.011). Additionally, early onset of hypertension (&amp;lt; 35 years of age) was associated with an increased abundance of potentially dysbiotic Proteobacteria and a decreased abundance of potentially probiotic Tannerelleaceae. Furthermore, ADPKD patients revealed increased abundance of Peptococcaceae with increasing age and declining kidney function. Finally, serum uremic toxins were significantly increased in ADPKD patients and highly correlated with eGFR. Serum uremic toxins revealed a tendency of positive correlation with the abundance of Peptococcaceae which did not reach statistical significance. Conclusion This controlled pilot study confirms alterations of specific OTUs in PKD patients showing an increase of Enterobacteriaceae and decrease of probiotic Bifidobacteriaceae upon PKD. This suggests a potential shift towards gut dysbiosis. Most notably, the abundance of specific OTUs were observed to be associated with markers of rapid disease progression like Mayo classification 1D and 1E, as well as early onset of arterial hypertension. This suggests for the first time, that gut dysbiosis could affect PKD disease progression. However, it still remains unknown whether gut dysbiosis is caused by ADPKD itself or is a consequence of secondary circumstances such as antibiotic treatment which is common in ADPKD due to frequent urinary tract or cyst infections. Thus, further investigation in larger cohorts is warranted to elucidate the impact of gut microbiota on ADPKD.

Measuring the impact of dietary supplementation with citrus or cucumber extract on chicken gut microbiota using 16s rRNA gene sequencing.

This study investigated the effects of dietary supplements, citrus (CTS) and cucumber (CMB), on the jejunum and cecum microbiota of 14- and 28-days old broiler chickens to evaluate their impact on the gut health and assess their role as alternatives to antibiotic growth promoters (ABGPs). 16SrRNA gene sequencing revealed the overall bacterial microbiota composition was significantly affected by the gut site (p?<?0.001) but not by either of the dietary supplements, CTS and CMB, at both 14 and 28 days of age. However, as a result of Linear discriminant analysis (LDA) effect size (LEfSE), CTS dietary supplements significantly increased the counts of Lactobacillus (p?<?0.01) and decreased the counts of Enterococcus (p?<?0.01) and Clostridium (p?<?0.05) in the jejunum, whereas the counts of Blautia were increased (p?<?0.01) and Enterococcus were decreased (p?<?0.05) in the cecum at both ages. Only minor CMB effects were identified in the cecum and non in the jejunum. The use of CTS dietary supplements has been shown to be associated to the reduction of potentially pathogenic bacteria (Enterococcus and Clostridium) and to the growth of beneficial bacteria (Lactobacillus and Blautia) which are known to have positive effects on chicken health in terms of nutrients absorption, stimulation and production of short chain fatty acids (SCFAs). Therefore, this study suggests that the use of a CTS supplemented diet could promote gut health while no clear advantages have been identified with the use of CMB as a dietary supplement.

Effects of rearing systems (cage versus floor) on the microbial composition and transcriptome of goose ileum

There is a gradual transition from water to dryland rearing of geese. In this study, we performed 16S rRNA sequencing (16S rRNA-seq) and transcriptome sequencing (RNA-seq) to reveal the effects of cage rearing (CR) and floor rearing (FR) systems on the microbial composition and transcriptome of the goose ileum. Through 16S rRNA-seq, Linear Discriminant Analysis Effect Size (LEfSe) analysis identified 2 (hgcI_clade and Faecalibacterium) and 14 (Bacteroides, Proteiniphilum, Proteiniclasticum, etc.) differential microbiota in CR and FR, respectively. The rearing system influenced 4 pathways including biosynthesis of amino acids in ileal microbiota. Moreover, we identified 1,198 differentially expressed genes (DEGs) in the ileum mucosa, with 957 genes up-regulated in CR and 241 genes up-regulated in FR. In CR, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed the significant enrichment (p &amp;lt; 0.05) of 28 KEGG pathways, most of which were associated with amino acid metabolism. In FR, up-regulated DEGs were mainly enriched in KEGG pathways associated with cellular processes, including apoptosis, necroptosis, and cellular senescence. Spearman correlation analysis of differential microbiota and amino acid metabolism-related DEGs in CR showed a significant positive correlation. Additionally, differential microbiota of FR, Phascolarctobacterium and Sutterella, were positively correlated with FGF10 (p &amp;lt; 0.05) and PIK3R1 (p &amp;lt; 0.01), respectively. In conclusion, there might be differences in ileal amino acid metabolism levels between CR and FR geese, and the observed increase in harmful bacterial species in FR might impact the activity of ileal cells.

#2227 Exploring the interplay between gut microbiome, fecal metabolomics and ambulatory blood pressure in white-coat hypertensive patients

Abstract Background and Aims Recent evidence showed the relationship between gut microbiota with hypertension. Few studies also demonstrated that ambulatory blood pressure monitoring variables such as dipping status and linear variability are associated with fecal microbiota and metabolomics. However, the relationship between gut microbiota and metabolomic composition of white-coat hypertensive patients has not been studied yet. In addition, although the link between gut microbiota, blood pressure variability and high salt intake has been shown, none of the studies addressed these changes simultaneously in the same study population. Here, we aimed to investigate the interplay between the gut microbiome, fecal metabolites and 24-hour urine sodium levels between hypertensive, white-coat hypertensive (WCH) and healthy participants diagnosed with ambulatory blood pressure monitoring. Method The study included 18 newly diagnosed hypertensive, 8 WCH, and 21 healthy participants from our tertiary center. Ambulatory blood pressure (BP) monitoring was performed in all participants and nighttime dipping, morning BP surge (MBPS), pre-wake MBPS and linear BP variability were calculated. 16S rRNA sequencing was performed using Illumina MiSeq sequencer. DeSeq2 and linear discriminant analysis effect size (LEfSe) were performed with R. Fecal metabolite levels were analyzed by GC-MS. A partial least squares-discriminant analysis (PLS-DA) model was constructed for the feature selector and classifier. The variable importance in the projection (VIP) coefficient was calculated based on the PLS-DA model. Results ANOVA and post-hoc Tukey test showed WHC and hypertensive groups had higher blood pressure variability and morning-thorough MBPS than normotensive patients (p = 0.02 and 0.04, respectively), whereas 24-h urine Na levels were statistically similar between WCH and hypertensive groups (p = 0.11). There were no significant differences in α- and β-diversity metrics of gut microbiome between study groups. Select taxa were specific to WHC patients, notably Rikenellaceae family and Mitsuokella were higher in WHC against normotensive patients, whereas Ruminococcus callidus, Roseburia, Clostridium, Lactobacillus ruminis, Sutterall, Lachospiraceae and Muribaculaceae were decreased in WHC against normotensive patients in DeSeq2 analysis. Dialister was increased, whereas Bacteroides genus and Bacteroides fragilis were decreased in WHC against hypertensive patients. LEfSe analysis showed positive enrichment in Proteobacteria phylum and negative enrichment in Mitsuokella genus in WHC against hypertensive group. Enterococcus, Lachnobacterium, Odoribacter and Pseudomonas genera had positive; whereas Lactobacillus and Clostridium had negative correlations with 24-h urine Na levels. Positive correlations were shown between linear BP variability and Bacteroides and Paraprevotella genera. Several genera and species were enriched in Q3-4 against Q1-2 quartiles of pre-wake and sleep-thorough MBPS in LEfSe analyzes (Fig. 1). Normotensive and essential hypertensive groups could also be differentiated based on fecal metabolomic composition. Specifically, metabolites with the highest VIP values discriminating WCH from normotensive and hypertensive groups were methyl-palmitoleate, oxalic acid and phenyl β-D-glucopyranoside, respectively (Fig. 2). Conclusion In conclusion, we performed the first study focusing on the fecal microbiome and metabolomic characteristics of white-coat hypertensive patients. Urine Na levels and ambulatory blood pressure variables of the WCH group are different than those of the normotensive and similar to the hypertensive group. Comparative and correlation analyses revealed novel relationships between ambulatory blood pressure variables and gut microbiome of both WCH and hypertensive patients. Fecal metabolomic differences between study groups imply possible mechanisms underlying the effects of gut microbiome on blood pressure. Gut microbiota and metabolites may become valuable targets for interventions of both white-coat and essential hypertension in the near future.

Revealing microbial community composition and disinfection efficacy evaluation in wholesale pork markets through 16S rDNA sequencing

ABSTRACT This study has employed 16S rDNA analysis to elucidate the characteristics of the microbial community in the surroundings, facilities, and meat samples collected from a pork wholesale market with the aim of revealing bacterial contamination. In addition, the efficacy of sodium hypochlorite disinfectant was assessed by comparing the bacterial communities in the viable samples before and after disinfection. The bacterial abundances in meat, chopping boards, and knives were positively correlated (r > 0.95, p < .05), suggesting potential cross-contamination risks during market transactions. The species richness indices for the external transport vehicles, pork hooks, and floors were significantly different from those of the samples taken after decontamination (p < .05). Linear discriminant analysis Effect Size (LEfSe) analyses showed that Firmicutes, Proteobacteria, and Chloroflexi were significantly more abundant in the transaction period, whereas Bacteroidetes levels decreased compared to the clean-up period. NaClO disinfection altered the composition of bacterial communities.