Gut microbial biomarkers for the treatment response in first-episode, drug-naïve schizophrenia: a 24-week follow-up study.
Xiuxia Yuan,Yunpeng Wang,Xue Li,Jiajun Jiang,Yulin Kang,Lijuan Pang,Peifen Zhang,Ang Li,Luxian Lv,Ole A. Andreassen,Xiaoduo Fan,Shaohua Hu,Xueqin Song +12 more
Reads0
Chats0
TLDR
In this article, a 24-week follow-up study to identify gut microbial biomarkers for schizophrenia diagnosis and treatment response, using a sample of 107 first-episode, drug-naive SCH patients, and 107 healthy controls (HCs).Abstract:
Preclinical studies have shown that the gut microbiota can play a role in schizophrenia (SCH) pathogenesis via the gut-brain axis. However, its role in the antipsychotic treatment response is unclear. Here, we present a 24-week follow-up study to identify gut microbial biomarkers for SCH diagnosis and treatment response, using a sample of 107 first-episode, drug-naive SCH patients, and 107 healthy controls (HCs). We collected biological samples at baseline (all participants) and follow-up time points after risperidone treatment (SCH patients). Treatment response was assessed using the Positive and Negative Symptoms Scale total (PANSS-T) score. False discovery rate was used to correct for multiple testing. We found that SCH patients showed lower α-diversity (the Shannon and Simpson’s indices) compared to HCs at baseline (p = 1.21 × 10−9, 1.23 × 10−8, respectively). We also found a significant difference in β-diversity between SCH patients and HCs (p = 0.001). At baseline, using microbes that showed different abundance between patients and controls as predictors, a prediction model can distinguish patients from HCs with an area under the curve (AUC) of 0.867. In SCH patients, after 24 weeks of risperidone treatment, we observed an increase of α-diversity toward the basal level of HCs. At the genus level, we observed decreased abundance of Lachnoclostridium (p = 0.019) and increased abundance Romboutsia (p = 0.067). Moreover, the treatment response in SCH patients was significantly associated with the basal levels of Lachnoclostridium and Romboutsia (p = 0.005 and 0.006, respectively). Our results suggest that SCH patients may present characteristic microbiota, and certain microbiota biomarkers may predict treatment response in this patient population.read more
Citations
More filters
Journal ArticleDOI
A systematic review of gut microbiota composition in observational studies of major depressive disorder, bipolar disorder and schizophrenia
Amelia J McGuinness,J. Davis,Samantha L. Dawson,Amy Loughman,Fiona Collier,Martin O'Hely,Carra A Simpson,Jessica Green,Wolfgang Marx,Christopher S Hair,G. Guest,Mahboube Mohebbi,Michelle Berk,D. Stupart,Drake R. Watters,Felice N. Jacka +15 more
TL;DR: In this paper , the authors synthesized the current literature investigating differences in gut microbiota composition in people with the major psychiatric disorders, major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ), compared to healthy controls.
Journal ArticleDOI
The gut microbiome and mental health: advances in research and emerging priorities
Andrew P. Shoubridge,Jocelyn M. Choo,Alyce M. Martin,Damien J. Keating,Ma-Li Wong,Julio Licinio,Geraint B. Rogers +6 more
TL;DR: An overarching model of the evolution of microbiome–CNS interaction is set out and how a growing knowledge of these complex systems can be used to determine disease susceptibility and reduce risk in a targeted manner is examined.
Journal ArticleDOI
Gut Microbiome Composition Linked to Inflammatory Factors and Cognitive Functions in First-Episode, Drug-Naive Major Depressive Disorder Patients
Penghong Liu,Mingxu Gao,Zhifen Liu,Yanyan Zhang,Hongwei Tu,Lei Lei,Peiyi Wu,Aixia Zhang,Chunxia Yang,Gaizhi Li,Ning Sun,Kerang Zhang +11 more
TL;DR: It is confirmed that the gut microbiota inMDD patients have altered gut microbes that are closely associated with inflammatory factors and cognitive function in MDD patients.
Journal ArticleDOI
Gut microbiome in schizophrenia and antipsychotic-induced metabolic alterations: a scoping review
Raghunath Singh,Nicolette Stogios,Emily Smith,Jiwon Lee,Kateryna Maksyutynsk,Emily Ka-Lei Au,David C. Wright,Giada De Palma,Ariel Graff-Guerrero,Philip Gerretsen,Daniel J. Müller,Gary Remington,Margaret Hahn,Sri Mahavir Agarwal +13 more
TL;DR: This scoping review recapitulates the preclinical and clinical evidence suggesting the role of GMB in SCZ symptomatology and metabolic adverse effects associated with APs and discusses the therapeutic potentials of prebiotic/probiotic formulations in improving SCZ symptoms and attenuating metabolic alterations related to APs.
Journal ArticleDOI
Antipsychotic-induced gastrointestinal hypomotility and the alteration in gut microbiota in patients with schizophrenia
TL;DR: In this paper , the authors investigated the differences in composition of the gut microbiota in schizophrenia patients with and without constipation and found that the constipation group had a significantly increased alpha diversity in Observed species, Chao 1, and ACE as compared to the non-constipation group.
References
More filters
Journal ArticleDOI
Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Journal ArticleDOI
Fitting Linear Mixed-Effects Models Using lme4
TL;DR: In this article, a model is described in an lmer call by a formula, in this case including both fixed-and random-effects terms, and the formula and data together determine a numerical representation of the model from which the profiled deviance or the profeatured REML criterion can be evaluated as a function of some of model parameters.
Journal ArticleDOI
Cutadapt removes adapter sequences from high-throughput sequencing reads
TL;DR: The command-line tool cutadapt is developed, which supports 454, Illumina and SOLiD (color space) data, offers two adapter trimming algorithms, and has other useful features.
Journal ArticleDOI
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
Christian Quast,Elmar Pruesse,Pelin Yilmaz,Jan Gerken,Timmy Schweer,Pablo Yarza,Jörg Peplies,Frank Oliver Glöckner +7 more
TL;DR: The extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
Classification and Regression by randomForest
Andy Liaw,Matthew C. Wiener +1 more
TL;DR: random forests are proposed, which add an additional layer of randomness to bagging and are robust against overfitting, and the randomForest package provides an R interface to the Fortran programs by Breiman and Cutler.
Related Papers (5)
Predicting stable treatment response in patients with major depression treated with hypericum extract WS 5570/5572.
M. Kieser,A. Szegedi +1 more