Baseline Gut Microbiota Research Articles

Self-Initiated Dietary Adjustments Alter Microbiota Abundances: Implications for Perceived Health

Background/Objectives: Personalized and self-initiated dietary adjustments have been shown to alleviate mental and somatic complaints. Here, we investigated the potential role of gut microbiome alterations underlying these effects. Methods: For this purpose, participants (n = 185) underwent a four-week self-initiated dietary intervention and filled out weekly questionnaires on their dietary intake, somatic and mental symptoms, and physical activity. Results: Overall, the participants lost weight, had alleviated mental and somatic complaints, reduced their total caloric and percentual carbohydrate intake, and ate less processed, party-type, and traditional Dutch food items, but ate more Pescatarian type food items, while keeping their fiber intake unaltered. Baseline and endpoint gut microbiota analyses using 16S rRNA gene sequencing revealed an overall increase in Gemmiger formicilis and reductions in Peptostreptococcaceae and Ruminococcus bromii over the four-week dietary intervention. While these bacterial alterations were considered to be beneficial for the host, they were not individually correlated with alterations in, or endpoint levels of, somatic and/or mental complaints. Instead, individual increases in Ruminococcus bicirculans (a well-known utilizer of plant cell wall polysaccharides) were strongly correlated with reductions in mental complaints, even though overall R. bicirculans remained unaltered over the course of the four-week self-initiated dierary intervention. Conclusions: Our results suggest that overall altered versus individually correlated microbiota abundances and their relations with host health characteristics over the course of a self-chosen dietary intervention may represent different levels of regulation, which remain to be further untangled.

Baseline gut microbiome as a predictive biomarker of response to probiotic adjuvant treatment in gout management

Gout is characterized by dysregulation of uric acid (UA) metabolism, and the gut microbiota may serve as a regulatory target. This two-month randomized, double-blind, placebo-controlled trial aimed to investigate the additional benefits of coadministering Probio-X alongside febuxostat. A total of 160 patients with gout were randomly assigned to either the probiotic group (n = 120; Probio-X [1 ×1011 CFU/day] with febuxostat) or the placebo group (n = 40; placebo material with febuxostat). Coadministration of Probio-X significantly decreased serum UA levels and the rate of acute gout attacks (P < 0.05). Based on achieving a target sUA level (360 μmol/L) after the intervention, the probiotic group was further subdivided into probiotic-responsive (ProA; n = 54) and probiotic-unresponsive (ProB; n = 66) subgroups. Post-intervention clinical indicators, metagenomic, and metabolomic changes in the ProB and placebo groups were similar, but differed from those in the ProA group, which exhibited significantly lower levels of acute gout attack, gout impact score, serum indicators (UA, XOD, hypoxanthine, and IL-1β), and fecal gene abundances of UA-producing pathways (KEGG orthologs of K13479 and K01487; gut metabolic modules for formate conversion and lactose and galactose degradation). Additionally, the ProA group showed significantly higher levels (P < 0.05) of gut SCFAs-producing bacteria and UA-related metabolites (xanthine, hypoxanthine, bile acids) after the intervention. Finally, we established a gout metagenomic classifier to predict probiotic responsiveness based on subjects’ baseline gut microbiota composition. Our results indicate that probiotic-driven therapeutic responses are highly individual, with the probiotic-responsive cohort benefitting significantly from probiotic coadministration.

Neoadjuvant vidutolimod and nivolumab in high-risk resectable melanoma: A prospective phase II trial

Intratumoral TLR9 agonists and anti-PD-1 produce clinical responses and broad immune activation. We conducted a single-arm study of neoadjuvant TLR9 agonist vidutolimod combined with anti-PD-1 nivolumab in high-risk resectable melanoma. In 31 evaluable patients, 55% major pathologic response(MPR) was observed, meeting primary endpoint. MPR was associated with necrosis, and melanophagocytosis with increased CD8+ tumor-infiltrating lymphocytes and plasmacytoid dendritic cells (pDCs) in the tumor microenvironment, and increased frequencies of Ki67+CD8+ Tcells peripherally. MPRs had an enriched pre-treatment gene signature of myeloid cells, and response to therapy was associated with gene signatures of immune cells, pDCs, phagocytosis, and macrophage activation. MPRs gut microbiota were enriched for Gram-negative bacteria belonging to the Bacteroidaceae and Enterobacteriaceae families and the small subgroup of Gram-negative Firmicutes. Our findings support that combined vidutolimod and nivolumab stimulates a broad anti-tumor immune response and is associated with distinct baseline myeloid gene signature and gut microbiota. ClinicalTrials.gov identifier: NCT03618641.

Baseline gut microbiota diversity and composition and albendazole efficacy in hookworm-infected individuals

Soil-transmitted helminth (STH) infections account for a significant global health burden, necessitating mass drug administration with benzimidazole-class anthelmintics, such as albendazole (ALB), for morbidity control. However, ALB efficacy shows substantial variability, presenting challenges for achieving consistent treatment outcomes. We have explored the potential impact of the baseline gut microbiota on ALB efficacy in hookworm-infected individuals through microbiota profiling and machine learning (ML) techniques. Our investigation included 89 stool samples collected from hookworm-infected individuals that were analyzed by microscopy and quantitative PCR (qPCR). Of these, 44 were negative by microscopy for STH infection using the Kato-Katz method and qPCR 21 days after treatment, which entails a cure rate of 49.4%. Microbiota characterization was based on amplicon sequencing of the V3–V4 16S ribosomal RNA gene region. Alpha and beta diversity analyses revealed no significant differences between participants who were cured and those who were not cured, suggesting that baseline microbiota diversity does not influence ALB treatment outcomes. Furthermore, differential abundance analysis at the phylum, family and genus levels yielded no statistically significant associations between bacterial communities and ALB efficacy. Utilizing supervised ML models failed to predict treatment response accurately. Our investigation did not provide conclusive insights into the relationship between gut microbiota and ALB efficacy. However, the results highlight the need for future research to incorporate longitudinal studies that monitor changes in the gut microbiota related to the infection and the cure with ALB, as well as functional metagenomics to better understand the interaction of the microbiome with the drug, and its role, if there is any, in modulating anthelmintic treatment outcomes in STH infections. Interdisciplinary approaches integrating microbiology, pharmacology, genetics and data science will be pivotal in advancing our understanding of STH infections and optimizing treatment strategies globally.Graphical

O88 REDUCTION IN SYSTOLIC BLOOD PRESSURE FOLLOWING DIETARY FIBRE INTERVENTION IS DEPENDENT ON BASELINE GUT MICROBIOTA COMPOSITION

Background/Objective: Dietary interventions high in fibre have been shown to lower blood pressure (BP). This effect is via the gut microbiota, via fermentation of fibre and production of metabolites called short-chain fatty acids (SCFAs). Not all patients respond to dietary fibre interventions for unclear reasons. We aimed to determine if we can identify fibre-responders based on their gut microbiota and production of SCFAs. Methods: We performed a phase II cross-over placebo-controlled randomised clinical trial in untreated hypertensive patients. Twenty treatment-naive participants with hypertension received 40 g per day of fermentable fibre delivered as acetylated and butyrylated high amylose maize starch (HAMSAB) or the placebo for 3 weeks. Blood pressure was monitored at baseline and endpoint by ambulatory BP monitoring, with those experiencing a reduction of ≥2 mmHg in systolic BP classified as responders. The microbiota was determined by sequencing the V4-V5 region of the 16S rRNA gene in baseline stool samples. The relationship between baseline gut microbiota and response to dietary intervention was assessed with the MaAsLin2 package. Plasma SCFAs levels were quantified by mass spectrometry. Results: We observed a placebo-subtracted mean 24-hour systolic BP of –6.1 mmHg (p=0.03, reported in Jama et al., 2023 Nature Cardiovascular Research), with 14 (70%) individuals classified as responders and 6 (30%) as non-responders. Genera significantly enriched in responders included Dialister (β=1.29, q=1.921x10-134), Coprococcus (β=1.26, q=3.282x10-121), Bifidobacterium (β=1.67, q=1.11x10-81), Ruminococcus (β=0.161, q=1.11x10-8), and Roseburia (β=0.82, q=4.275x10-2). Responders also produced higher levels of the SCFAs butyrate (mean±SEM, non-responders 4.95±2.4 vs responders 51.15±14.7, p=0.0096), but no difference in other SCFAs. Conclusions: Participants who experienced a decrease in systolic BP following a dietary fibre intervention had increased bacterial genera known to contain species that produce SCFAs (Bifidobacterium, Roseburia, Ruminococcus) at baseline, and were able to produce more butyrate. These data suggest that baseline microbiota composition contributes to the response to dietary fibre intervention trials in people with hypertension, likely via increased capacity to produce butyrate.

Baseline Gut Microbiota Was Associated with Long-Term Immune Response at One Year Following Three Doses of BNT162b2.

This study explored neutralizing IgG antibody levels against COVID-19 decline over time post-vaccination. We conducted this prospective cohort study to investigate the function of gut microbiota in the host immune response following three doses of BNT162b2. Subjects who received three doses of BNT162b2 were recruited from three centers in Hong Kong. Blood samples were obtained before the first dose and at the one-year timepoint for IgG ELISA to determine the level of neutralizing antibody (NAb). The primary outcome was a high immune response (NAb > 600 AU/mL). We performed shotgun DNA metagenomic sequencing on baseline fecal samples to identify bacterial species and metabolic pathways associated with high immune response using linear discriminant analysis effect size analysis. A total of 125 subjects were recruited (median age: 52 years [IQR: 46.2-59.0]; male: 43 [34.4%]), and 20 were regarded as low responders at the one-year timepoint. Streptococcus parasanguinis (log10LDA score = 2.38, p = 0.003; relative abundance of 2.97 × 10-5 vs. 0.03%, p = 0.001), Bacteroides stercoris (log10LDA score = 4.29, p = 0.024; relative abundance of 0.14% vs. 2.40%, p = 0.014) and Haemophilus parainfluenzae (log10LDA score = 2.15, p = 0.022; relative abundance of 0.01% vs. 0, p = 0.010) were enriched in low responders. Bifidobacterium pseudocatenulatum (log10LDA score = 2.99, p = 0.048; relative abundance of 0.09% vs. 0.36%, p = 0.049) and Clostridium leptum (log10LDA score = 2.38, p = 0.014; relative abundance of 1.2 × 10-5% vs. 0, p = 0.044) were enriched in high responders. S. parasanguinis was negatively correlated with the superpathway of pyrimidine ribonucleotides de novo biosynthesis (log10LDA score = 2.63), which contributes to inflammation and antibody production. H. parainfluenzae was positively correlated with pathways related to anti-inflammatory processes, including the superpathway of histidine, purine, and pyrimidine biosynthesis (log10LDA score = 2.14). Among three-dose BNT162b2 recipients, S. parasanguinis, B. stercoris and H. parainfluenzae were associated with poorer immunogenicity at one year, while B. pseudocatenulatum and C. leptum was associated with a better response.

Impact of omega-3 fatty acids on hypertriglyceridemia, lipidomics, and gut microbiome in patients with type 2 diabetes.

Fish oil (FO), a mixture of omega-3 fatty acids mainly comprising docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), has been recommended for patients with type 2 diabetes (T2D) and hypertriglyceridemia. However, its effects on lipidomic profiles and gut microbiota and the factors influencing triglyceride (TG) reduction remain unclear. We conducted a 12-week, randomized, double-blind, placebo-controlled trial in 309 Chinese patients with T2D with hypertriglyceridemia (ClinicalTrials.gov: NCT03120299). Participants were randomly assigned (1:1) to receive either 4g FO or corn oil for 12weeks. The primary outcome was changes in serum TGs and the lipidomic profile, and the secondary outcome included changes in the gut microbiome and other metabolic variables. The FO group had significantly better TG reduction (mean [95% confidence interval (CI)]: -1.51 [-2.01, -1.01] mmol/L) compared to the corn oil group (-0.66 [-1.15, -0.16] mmol/L, p= 0.02). FO significantly altered the serum lipid profile by reducing low-unsaturated TG species and increasing those containing DHA or EPA. FO had minor effects on gut microbiota, while baseline microbial features predicted the TG response to FO better than phenotypic or lipidomic features, potentially mediated by specific lipid metabolites. A total of 9 lipid metabolites significantly mediated the link between 4 baseline microbial variables and the TG response to FO supplementation. Our findings demonstrate differential impacts of omega-3 fatty acids on lipidomic and microbial profiles in T2D and highlight the importance of baseline gut microbiota characteristics in predicting the TG-lowering efficacy of FO. This study was funded by the National Nature Science Foundation.

Baseline gut microbiota profiles affect treatment response in patients with depression.

The role of the gut microbiota in the pathophysiology of depression has been explored in numerous studies, which have confirmed that the baseline gut microbial profiles of patients with depression differ from those of healthy individuals. The gut microbiome affects metabolic activity in the immune and central nervous systems and regulates intestinal ecology through the neuroendocrine system. Additionally, baseline changes in the gut microbiota differed among patients with depression who demonstrated varying treatment response. Currently, probiotics are an emerging treatment for depression; however, the efficacy of modulating the gut microbiota in the treatment of depression remains uncertain. Additionally, the mechanisms by which changes in the gut microbiota affect treatment response in patients with depression remain unclear. In this review, we aimed to summarize the differences in the baseline gut microbiota between the remission and non-remission groups after antidepressant therapy. Additionally, we summarized the possible mechanisms that may contribute to antidepressant resistance through the effects of the gut microbiome on the immune and nervous systems, various enzymes, bioaccumulation, and blood-brain barrier, and provide a basis for treating depression by targeting the gut microbiota.

Gut microbiota and immune profiling of microbiota-humanised versus wildtype mouse models of hepatointestinal schistosomiasis

Mounting evidence of the occurrence of direct and indirect interactions between the human blood fluke, Schistosoma mansoni, and the gut microbiota of rodent models raises questions on the potential role(s) of the latter in the pathophysiology of hepatointestinal schistosomiasis. However, substantial differences in both the composition and function between the gut microbiota of laboratory rodents and that of humans hinders an in-depth understanding of the significance of such interactions for human schistosomiasis. Taking advantage of the availability of a human microbiota-associated mouse model (HMA), we have previously highlighted differences in infection-associated changes in gut microbiota composition between HMA and wildtype (WT) mice. To further explore the dynamics of schistosome-microbiota relationships in HMA mice, in this study we (i) characterize qualitative and quantitative changes in gut microbiota composition of a distinct line of HMA mice (D2 HMA) infected with S. mansoni prior to and following the onset of parasite egg production; (ii) profile local and systemic immune responses against the parasite in HMA as well as WT mice and (iii) assess levels of faecal inflammatory markers and occult blood as indirect measures of gut tissue damage. We show that patent S. mansoni infection is associated with reduced bacterial alpha diversity in the gut of D2 HMA mice, alongside expansion of hydrogen sulphide-producing bacteria. Similar systemic humoral responses against S. mansoni in WT and D2 HMA mice, as well as levels of faecal lipocalin and markers of alternatively activated macrophages, suggest that these are independent of baseline gut microbiota composition. Qualitative comparative analyses between faecal microbial profiles of S. mansoni-infected WT and distinct lines of HMA mice reveal that, while infection-induced alterations of the gut microbiota composition are highly dependent on the baseline flora, bile acid composition and metabolism may represent key elements of schistosome-microbiota interactions through the gut-liver axis.

Baseline gut microbiota as a predictive marker for the efficacy of neoadjuvant chemotherapy in patients with early breast cancer: a multicenter prospective cohort study in the Setouchi Breast Project-14.

Various studies have demonstrated the causal relationship between gut microbiota and efficacy of chemotherapy; however, the impact of gut microbiota on breast cancer has not been fully elucidated. This study aimed to evaluate the associations between the gut microbiota before neoadjuvant chemotherapy and its consequent efficacy in breast cancer. This prospective observational study included patients who received neoadjuvant chemotherapy for primary early breast cancer at eight institutions between October 1, 2019, and March 31, 2022. We performed 16S rRNA analysis of fecal samples and α and β diversity analyses of the gut microbiota. The primary endpoint was the association between the gut microbiota and pathological complete response (pCR) to neoadjuvant chemotherapy. Among the 183 patients, the pCR rate after neoadjuvant chemotherapy was 36.1% in all patients and 12.9% (9/70), 69.5% (41/59), and 29.6% (16/54) in those with the luminal, human epidermal growth factor receptor 2, and triple-negative types, respectively. The α diversity of the gut microbiota did not significantly differ between patients with pCR and those without pCR. Among the gut microbiota, two species (Victivallales, P = 0.001 and Anaerolineales, P = 0.001) were associated with pCR, and one (Gemellales, P = 0.002) was associated with non-pCR. Three species in the gut microbiota had potential associations with neoadjuvant chemotherapy efficacy, but the diversity of the gut microbiota was not associated with response to chemotherapy. Further research is needed to validate our findings.

Microbial metagenomic shifts in children with acute lymphoblastic leukaemia during induction therapy and predictive biomarkers for infection

BackgroundEmerging evidence has indicated a link between the gut microbiota and acute lymphoblastic leukaemia (ALL). However, the acute changes in gut microbiota during chemotherapy and the predictive value of baseline gut microbiota in infectious complication remain largely unknown.MethodsFaecal samples (n = 126) from children with ALL (n = 49) undergoing induction chemotherapy were collected at three timepoints, i.e., initiation of chemotherapy (baseline, T0), 7 days (T1) and 33 days (T2) after initiation of chemotherapy. Gut microbiome profile was performed via metagenomic shotgun sequencing. The bioBakery3 pipeline (Kneaddata, Metaphlan 3 and HUMAnN) was performed to assign taxonomy and functional annotations. Gut microbiome at T0 were used to predict infection during chemotherapy.ResultsThe microbial diversities and composition changed significantly during chemotherapy, with Escherichia coli, Klebsiella pneumoniae and Bifidobacterium longum being the most prominent species. The microbial metabolic pathways were also significantly altered during chemotherapy, including the pathway of pyruvate fermentation to acetate and lactate, and assimilatory sulfate reduction pathway. The receiver operating characteristic (ROC) models based on Bifidobacterium longum at T0 could predict infectious complications during the first month of chemotherapy with the area under the curve (AUC) of 0.720.ConclusionsOur study provides new insights into the acute changes in microbial and functional characteristics in children with ALL during chemotherapy. The baseline gut microbiota could be potential biomarkers for infections during chemotherapy.Trial registrationThe study was approved by the Ethics Committee of Zhujiang Hospital, Southern Medical University (2021-KY-171-01) and registered on http://www.chictr.org.cn (ChiCTR2200065406, Registration Date: November 4, 2022).

The gut microbial characteristics and underlying mechanisms of patients with different clinical prognoses from immunotherapy by landmark analysis.

2606 Background: A subset of cancer patients could benefit long-termly from immune checkpoints inhibitors (ICIs), which was called smearing effect. Gut microbiota was widely found to be associated with the initial ICIs efficacy and immune-related adverse event (irAE). This study aimed to identify the baseline gut microbiota characteristics of long-benefit patients and explore the possible underlying mechanisms. Methods: Lung cancer patients initially treated with anti-PD-1/PD-L1 therapy were consecutively enrolled from May 2020 to September 2022. All patients were classified into Benefit group, Resistance group and Severe irAE group based on the long-term prognosis. The baseline gut microbiota characteristics were identified by metagenome sequencing. MelonnPan was used to predict the abundances of 79 metabolites. The sequences of autoantigen, lung cancer antigen and anticancer peptides (ACPs) from IEDB and CancerPPD databases were aligned against the scaftigs of fecal samples. Results: 54 patients were enrolled with 24 in Benefit group, 13 in Severe irAE group and 17 in Resistance group. The microorganism composition was significantly different between Benefit group and Resistance group ( P=0.03), while no difference between Benefit group and Severe irAE group ( P=0.93). The co-occurrence network showed the Benefit group patients had the most compact microbiota network. Metabolites prediction analyses showed the short chain fatty acids propionate ( P=0.005) and butyrate/isobutyrate ( P=0.03) were significantly enriched in Benefit group than Resistance group, wherein the acetyl-CoA pathway ( P=0.04) accounted for the largest proportion of butyrate-production ability difference. The beneficial species had more positive correlations with butyrate-producing enzymes ( P&lt;0.001). The microbiota of irAE patients had abundant aligned sequences with antigen epitopes of multiple autoimmune diseases. The total counts of systemic lupus erythematosus-related epitopes were significantly more enriched in patients with immune-related colitis ( P=0.04), especially FDNGRRGRPVTGP ( P=0.02) and IDNGRRGRPITGP ( P=0.02). Likewise, the microbiota of patients with good ICIs efficacy tended to have more abundant cancer-related antigen counts ( P=0.07) and ACPs counts ( P=0.06). Strain-level analysis revealed Escherichia coli and Faecalibacterium prausnitziishowed a centralized trend of genomic variations based on different clinical phenotypes. Conclusions: Long-term benefit patients had converging characteristics of gut microbiota, which coevoluted a compact microbial community with high butyrate-producing ability. The microbiota molecular mimicry of autoimmune and tumor antigen might contribute to irAE and ICIs efficacy. The strain-level genomic variations of specific species may also play a role in clinical phenotypes.

Modulation of multiple sclerosis risk and pathogenesis by the gut microbiota: Complex interactions between host genetics, bacterial metabolism, and diet.

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system, affecting nearly 2 million people worldwide. The etiology of MS is multifactorial: Approximately 30% of the MS risk is genetic, which implies that the remaining ~70% is environmental, with a number of factors proposed. One recently implicated risk factor for MS is the composition of the gut microbiome. Numerous case-control studies have identified changes in gut microbiota composition of people with MS (pwMS) compared with healthy control individuals, and more recent studies in animal models have begun to identify the causative microbes and underlying mechanisms. Here, we review some of these mechanisms, with a specific focus on the role of host genetic variation, dietary inputs, and gut microbial metabolism, with a particular emphasis on short-chain fatty acid and tryptophan metabolism. We put forward a model where, in an individual genetically susceptible to MS, the gut microbiota and diet can synergize as potent environmental modifiers of disease risk and possibly progression, with diet-dependent gut microbial metabolites serving as a key mechanism. We also propose that specific microbial taxa may have divergent effects in individuals carrying distinct variants of MS risk alleles or other polymorphisms, as a consequence of host gene-by-gut microbiota interactions. Finally, we also propose that the effects of specific microbial taxa, especially those that exert their effects through metabolites, are highly dependent on the host dietary intake. What emerges is a complex multifaceted interaction that has been challenging to disentangle in human studies, contributing to the divergence of findings across heterogeneous cohorts with differing geography, dietary preferences, and genetics. Nonetheless, this provides a complex and individualized, yet tractable, model of how the gut microbiota regulate susceptibility to MS, and potentially progression of this disease. Thus, we conclude that prophylactic or therapeutic modulation of the gut microbiome to prevent or treat MS will require a careful and personalized consideration of host genetics, baseline gut microbiota composition, and dietary inputs.

Recipient microbiome-related features predicting metabolic improvement following fecal microbiota transplantation in adults with severe obesity and metabolic syndrome: a secondary analysis of a phase 2 clinical trial

ABSTRACT Microbial-based therapeutics in clinical practice are of considerable interest, and a recent study demonstrated fecal microbial transplantation (FMT) followed by dietary fiber supplements improved glucose homeostasis. Previous evidence suggests that donor and recipient compatibility and FMT protocol are key determinants, but little is known about the involvement of specific recipient factors. Using data from our recent randomized placebo-control phase 2 clinical trial in adults with obesity and metabolic syndrome, we grouped participants that received FMT from one of 4 donors with either fiber supplement into HOMA-IR responders (n = 21) and HOMA-IR non-responders (n = 8). We further assessed plasma bile acids using targeted metabolomics and performed subgroup analyzes to evaluate the effects of recipient parameters and gastrointestinal factors on microbiota engraftment and homeostatic model assessment of insulin resistance (HOMA2-IR) response. The baseline fecal microbiota composition at genus level of recipients could predict the improvements in HOMA2-IR at week 6 (ROC-AUC = 0.70). Prevotella was identified as an important predictor, with responders having significantly lower relative abundance than non-responders (p = .02). In addition, recipients displayed a highly individualized degree of microbial engraftment from donors. Compared to the non-responders, the responders had significantly increased bacterial richness (Chao1) after FMT and a more consistent engraftment of donor-specific bacteria ASVs (amplicon sequence variants) such as Faecalibacillus intestinalis (ASV44), Roseburia spp. (ASV103), and Christensenellaceae spp. (ASV140) (p < .05). Microbiota engraftment was strongly associated with recipients’ factors at baseline including initial gut microbial diversity, fiber and nutrient intakes, inflammatory markers, and bile acid derivative levels. This study identified that responders to FMT therapy had a higher engraftment rate in the transplantation of specific donor-specific microbes, which were strongly correlated with insulin sensitivity improvements. Further, the recipient baseline gut microbiota and related factors were identified as the determinants for responsiveness to FMT and fiber supplementation. The findings provide a basis for the development of precision microbial therapeutics for the treatment of metabolic syndrome.

Reduction in systolic blood pressure following dietary fibre intervention is dependent on baseline gut microbiota composition

Uncontrolled hypertension is a primary cause of non-communicable diseases and death globally(1). The gut microbiota plays a role in hypertension and dietary interventions high in fibre have been shown to lower blood pressure (BP)(2). Not all participants respond to dietary fibre interventions, for reasons which are unclear. Here we aimed to identify responders of a high fibre intervention based on their baseline gut microbiome. Twenty treatment-naive participants with hypertension received either placebo or 40g per day of prebiotic acetylated and butyrylated high amylose maize starch (HAMSAB) supplementation for 3 weeks in a phase II randomised cross-over double-blind placebo-controlled trial. Blood pressure was monitored at baseline and each endpoint by 24-hour ambulatory BP monitoring, with those experiencing a reduction between timepoints of ≥ 2 mmHg classified as responders. Baseline stool samples were collected and the V4-V5 region of the 16S gene sequenced. Taxonomy was assigned by reference to the SILVA database. The MaAsLin2 package was used for assessing the relationship between baseline gut microbiota and response to dietary intervention. Overall participants had significant reduction in 24-hour systolic BP (–6.1 mmHg, p = 0.03), with 14 individuals classified as responders and six individuals as non-responders. 13 genera were found to be differentially abundant between responders and non-responders. Genera significantly enriched in responders included Dialister (β = 1.29, q = 1.921x10-134), Coprococcus (β = 1.26, q = 3.282x10-121), Bifidobacterium (β = 1.67, q = 1.11x10-81), Ruminococcus (β = 0.161, q = 1.11x10-8) and Roseburia (β = 0.82, q = 4.275x10-2). Participants who experienced a decrease in systolic BP following a dietary fibre intervention had increased level of bacterial genera known to contain species that produce short-chain fatty acids (e.g. Bifidobacterium, Roseburia and Ruminococcus) at baseline. These data suggest that baseline microbiota composition contributes to the response to dietary fibre intervention trials in people with hypertension.

Diet, Gut Physiology, and the Microbiota-Gut-Brain Axis

Diet is a large influencer of the gut microbiota composition and function across the lifespan. However, information on whether and how diet can affect the brain via bidirectional communication between the gut and the central nervous system (the microbiota-gut-brain axis) is emerging. Immune, endocrine, humoral, and neural connections between the gastrointestinal tract and the central nervous system are important to this axis. The gut microbiota can produce cytokines, neurotransmitters, neuropeptides, chemokines, endocrine messengers, and microbial metabolites (e.g., short-chain fatty acids, branched chain amino acids, and peptidoglycans), some of which can enter the brain, influencing the function of brain cells. Animal studies investigating the potential of nutritional interventions on this axis have advanced our understanding of the role of diet in this bidirectional communication. This includes insights into microbial metabolites, immune, neuronal, and metabolic pathways amendable to dietary modulation. However, several aspects of the gastrointestinal tract and brain of animal models differ to humans, and it is important to consider these differences and similarities when evaluating the transability of the findings to the human context. Randomised clinical trials using dietary interventions in humans in this field are limited but have high potential application for clinical nutrition. In particular, several microbiota-targeted interventions have been explored as potential approaches for mental health. These approaches include probiotics, prebiotics, etc. as well as dietary approaches(1,2,3). However, there are limited clinical interventions with whole-dietary approaches. Most human studies used faecal samples to infer changes in microbiota parameters occurring in the gastrointestinal tract and do not consider the physiological changes in gastrointestinal physiology (e.g., transit time) that can directly or indirectly affect the diversity and composition of the gut microbiome. Future research considerations should include better characterisation of the participants at baseline (dietary patterns, gastrointestinal phenotype, and gut microbiota composition) to identify potential responders to dietary interventions. In addition to gut microbiota assessment, evaluations of physiological parameters, brain function and behavioural measurements should be considered as part of the study protocol. In this presentation, the current state of the literature triangulating the diet, the gut microbiota, and host behaviour/brain processes will be addressed. Future research considerations will also be discussed.

Association between Gut Microbiota Composition and Long-Term Vaccine Immunogenicity following Three Doses of CoronaVac.

Neutralizing antibody level wanes with time after COVID-19 vaccination. We aimed to study the relationship between baseline gut microbiota and immunogenicity after three doses of CoronaVac. This was a prospective cohort study recruiting three-dose CoronaVac recipients from two centers in Hong Kong. Blood samples were collected at baseline and one year post-first dose for virus microneutralization (vMN) assays to determine neutralization titers. The primary outcome was high immune response (defined as with vMN titer ≥ 40). Shotgun DNA metagenomic sequencing of baseline fecal samples identified potential bacterial species and metabolic pathways using Linear Discriminant Analysis Effect Size (LEfSe) analysis. Univariate and multivariable logistic regression models were used to identify high response predictors. In total, 36 subjects were recruited (median age: 52.7 years [IQR: 47.9-56.4]; male: 14 [38.9%]), and 18 had low immune response at one year post-first dose vaccination. Eubacterium rectale (log10LDA score = 4.15, p = 0.001; relative abundance of 1.4% vs. 0, p = 0.002), Collinsella aerofaciens (log10LDA score = 3.31, p = 0.037; 0.39% vs. 0.18%, p = 0.038), and Streptococcus salivarius (log10LDA score = 2.79, p = 0.021; 0.05% vs. 0.02%, p = 0.022) were enriched in low responders. The aOR of high immune response with E. rectale, C. aerofaciens, and S. salivarius was 0.03 (95% CI: 9.56 × 10-4-0.32), 0.03 (95% CI: 4.47 × 10-4-0.59), and 10.19 (95% CI: 0.81-323.88), respectively. S. salivarius had a positive correlation with pathways enriched in high responders like incomplete reductive TCA cycle (log10LDA score = 2.23). C. aerofaciens similarly correlated with amino acid biosynthesis-related pathways. These pathways all showed anti-inflammation functions. E. rectale,C. aerofaciens, and S. salivarius correlated with poorer long-term immunogenicity following three doses of CoronaVac.

Structure dependent fermentation kinetics of dietary carrot rhamnogalacturonan-I in an in vitro gut model

Plant derived dietary polysaccharides are important for gut health and have the potential to modulate the gut microbial community. Dietary rhamnogalacturonan-I obtained by enzymatic treatment of carrot pomace has shown prebiotic properties. In the present study, fermentability of carrot rhamnogalacturonan-I (cRG-I) by faecal microbiota of four donors was studied in an adapted M-SHIME® intestinal model. Despite its complex structure, cRG-I was degraded rapidly in the proximal colon compartment and fermentation became quicker and more complete during three weeks of repeated supplementation. Tracking the change in the molecular weight distribution pattern of cRG-I during the supplementation showed two main donor-dependent gut microbial fermentation strategies designated as either the general or preferential pathway. In the general fermentation pathway, different cRG-I structures were hydrolysed concomitantly, while in the preferential pathway discrete structures were sequentially fermented in a selective manner. Especially arabinan sidechains were utilized before the RG-I backbone, which correlated with an increase in Bifidobacterium longum absolute abundance over the three weeks period. MALDI-TOF MS confirmed that arabinan-, galactan- and arabinogalactan-sidechains were first to be released and degraded. Donor specific production of all SCFA increased over time with a general trend of higher levels of acetate and propionate than butyrate. Strikingly, although the host's baseline gut microbiota composition led to distinct cRG-I hydrolysis routes, the final RG-I consumption was almost complete for both routes, leading to similar metabolic profiles at the end of the three weeks treatment period.

Deciphering unique and shared interactions between the human gut microbiota and oral antidiabetic drugs.

The administration of oral antidiabetic drugs(OADs) to patients with type 2 diabetes elicits distinct and shared changes in the gut microbiota, with acarbose and berberine exhibiting greater impacts on the gut microbiota than metformin, vildagliptin, and glipizide. The baseline gut microbiota strongly associates with treatment responses of OADs.

P1209 Baseline gut microbiota composition and function reflect response to 5-ASA treatment in Ulcerative Colitis

Abstract Background Mesalazine (5-ASA) is a key initial treatment of ulcerative colitis (UC); recent studies have highlighted the role of the gut microbiota in 5-ASA metabolism. There is no established means of predicting treatment outcome. We sought to investigate changes in the gut microbiota and metabolome with 5-ASA treatment, and whether such changes may reflect clinical outcomes. Methods Longitudinal faeces, serum and urine samples were collected from patients with newly diagnosed UC before and after 5-ASA treatment. We documented longitudinal microbiota and metabolome changes with 5-ASA treatment and compared baseline gut microbiota and metabolome in responders (simple clinical colitis activity index (SCCAI) of &amp;lt;4 and faecal calprotectin (FC) of &amp;lt;100 µg/g) and non-responders to 5-ASA. Stool bacterial profiling was performed via 16S rRNA gene sequencing of the V1/V2 hypervariable regions. Host and microbial metabolites in stool, serum and urine were detected and semi-quantitated using liquid chromatography mass spectroscopy (LC-MS) and nuclear magnetic resonance spectroscopy (1H-NMR). Kruskal-Wallis tests and paired analyses using a Wilcoxon rank test were used and p values were adjusted using Benjamini-Hochberg false discovery rate (FDR) correction. Results 37 patients newly diagnosed with UC were recruited. Samples were collected at baseline and a median of 83 days (IQR 22.5 days) later; there were 27 responders and 10 non-responders. Comparing pre- and post- 5-ASA treatment samples demonstrated a reduction in gut microbial α diversity (P=0.01) (Fig 1). Faecal methionine increased with 5-ASA (P=0.04) in all patients, and isovalerate reduced with 5-ASA (P&amp;lt;0.01). Similar reductions after 5-ASA were noted in serum glycoprotein B (GlycB) (P=0.02). At baseline, responders tended to have increased α diversity compared to non-responders, but not statistically significantly (P=0.09). Similarly, there were β diversity differences, although these did not reach significance (P=0.06). At baseline non-responders had a higher relative stool abundance of Bacteroidetes and Firmicutes (P&amp;lt;0.01) compared to responders. Agathobacter, Coprococcus and Blautia genera were enriched in non-responders (P=0.05). At baseline, urinary hippurate was higher in patients going on to respond to 5-ASA compared to non-responders (P=0.04); faecal lysine (P&amp;lt;0.01) and putrescine (P=0.01) levels were also higher in non-responders at baseline. 5-ASA responders had reductions in faecal 2-methylbutyrate and isobutyrate (P=0.02) longitudinally. Conclusion We have shown that baseline relative abundance of certain taxa (such as Blautia), urinary Hippurate and faecal lysine reflect response to 5-ASA. Alterations in the gut microbiome and metabolome are associated with 5-ASA treatment.