Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.
Queensland Centre for Mental Health Research, Wacol, Queensland, Australia.
JAMA Psychiatry. 2024 Mar 1;81(3):292-302. doi: 10.1001/jamapsychiatry.2023.5371.
IMPORTANCE: There is growing interest in the role of gut microbiome composition in schizophrenia. However, lifestyle factors are often neglected, and few studies have investigated microbiome composition in treatment-resistant schizophrenia. OBJECTIVE: To explore associations between the gut microbiome and schizophrenia diagnosis, treatment resistance, clozapine response, and treatment-related adverse effects while adjusting for demographic and lifestyle factors. DESIGN, SETTING, AND PARTICIPANTS: In this case-control study of adults aged 20 to 63 years, stool samples and data on demographic characteristics, lifestyle, and medication use were collected and gut microbiome measures obtained using shotgun metagenomics. Participants with a schizophrenia diagnosis were referred through psychiatric inpatient units and outpatient clinics. Data were collected for 4 distinct groups: control individuals without a psychiatric diagnosis (past or present), individuals with treatment-responsive schizophrenia taking nonclozapine antipsychotic medications, clozapine-responsive individuals with treatment-resistant schizophrenia, and clozapine-nonresponsive individuals with treatment-resistant schizophrenia. Participants were recruited between November 2020 and November 2021. Control individuals were recruited in parallel through posters and online advertisements and matched for age, sex, and body mass index (BMI) to the individuals with schizophrenia. Participants were excluded if taking antibiotics in the past 2 months, if unable to communicate in English or otherwise follow study instructions, were pregnant or planning to become pregnant, or had any concomitant disease or condition making them unsuited to the study per investigator assessment. Data were analyzed from January 2022 to March 2023. MAIN OUTCOMES AND MEASURES: Omics relationship matrices, α and β diversity, and relative abundance of microbiome features. RESULTS: Data were collected for 97 individuals (71 [74%] male; mean [SD] age, 40.4 [10.3] years; mean [SD] BMI, 32.8 [7.4], calculated as weight in kilograms divided by height in meters squared). Significant microbiome associations with schizophrenia were observed at multiple taxonomic and functional levels (eg, common species: b2, 30%; SE, 13%; adjusted P = .002) and treatment resistance (eg, common species: b2, 27%; SE, 16%; adjusted P = .03). In contrast, limited evidence was found for microbiome associations with clozapine response, constipation, or metabolic syndrome. Significantly decreased microbial richness was found in individuals with schizophrenia compared to control individuals (t95 = 4.25; P < .001; mean [SD] for control individuals, 151.8 [32.31]; mean [SD] for individuals with schizophrenia, 117.00 [36.2]; 95% CI, 18.6-51.0), which remained significant after a covariate and multiple comparison correction. However, limited evidence was found for differences in β diversity (weighted UniFrac) for schizophrenia diagnosis (permutational multivariate analysis of variance [PERMANOVA]: R2, 0.03; P = .02), treatment resistance (R2, 0.02; P = .18), or clozapine response (R2, 0.04; P = .08). Multiple differentially abundant bacterial species (19) and metabolic pathways (162) were found in individuals with schizophrenia, which were primarily associated with treatment resistance and clozapine exposure. CONCLUSIONS AND RELEVANCE: The findings in this study are consistent with the idea that clozapine induces alterations to gut microbiome composition, although the possibility that preexisting microbiome differences contribute to treatment resistance cannot be ruled out. These findings suggest that prior reports of microbiome alterations in individuals with chronic schizophrenia may be due to medication or lifestyle factors and that future studies should incorporate these variables in their design and interpretation.
重要性:人们对肠道微生物组组成在精神分裂症中的作用越来越感兴趣。然而,生活方式因素往往被忽视,很少有研究调查治疗抵抗性精神分裂症患者的微生物组组成。
目的:在调整人口统计学和生活方式因素的情况下,探讨肠道微生物组与精神分裂症诊断、治疗抵抗、氯氮平反应以及治疗相关不良反应之间的关联。
设计、地点和参与者:在这项针对 20 至 63 岁成年人的病例对照研究中,收集粪便样本和人口统计学特征、生活方式以及药物使用的数据,并使用 shotgun 宏基因组学获得肠道微生物组测量值。通过精神病住院病房和门诊转介有精神分裂症诊断的参与者。收集了 4 个不同组的数据:没有精神科诊断(过去或现在)的对照个体、服用非氯氮平抗精神病药物的治疗反应性精神分裂症个体、治疗抵抗性氯氮平反应性个体以及治疗抵抗性氯氮平非反应性个体。参与者于 2020 年 11 月至 2021 年 11 月间招募。通过海报和在线广告招募对照个体,并与精神分裂症个体匹配年龄、性别和体重指数(BMI)。如果参与者在过去 2 个月内服用抗生素、无法用英语或其他方式遵循研究说明、怀孕或计划怀孕、或根据研究者评估认为患有任何其他疾病或状况不适合参加研究,则将其排除在外。数据于 2022 年 1 月至 2023 年 3 月进行分析。
主要结果和措施:组学关系矩阵、α 和 β 多样性以及微生物组特征的相对丰度。
结果:共收集了 97 名参与者(71 名[74%]为男性;平均[标准差]年龄为 40.4[10.3]岁;平均[标准差]BMI 为 32.8[7.4],按体重千克数除以身高米数的平方计算)。在多个分类和功能水平上观察到与精神分裂症相关的显著微生物组关联(例如,常见物种:b2,30%;SE,13%;调整后的 P =.002)和治疗抵抗(例如,常见物种:b2,27%;SE,16%;调整后的 P =.03)。相比之下,氯氮平反应、便秘或代谢综合征与微生物组的关联证据有限。与对照个体相比,精神分裂症个体的微生物丰富度显著降低(t95 = 4.25;P <.001;对照个体的平均值[标准差]为 151.8[32.31];精神分裂症个体的平均值[标准差]为 117.00[36.2];95%CI,18.6-51.0),在进行协变量和多次比较校正后,这种差异仍然显著。然而,对于精神分裂症诊断(PERMANOVA:R2,0.03;P =.02)、治疗抵抗(R2,0.02;P =.18)或氯氮平反应(R2,0.04;P =.08)的β 多样性(加权 UniFrac)差异,证据有限。在精神分裂症个体中发现了 19 种和 162 种代谢途径的差异丰富细菌(162),这些细菌主要与治疗抵抗和氯氮平暴露有关。
结论和相关性:本研究的结果与氯氮平诱导肠道微生物组组成改变的观点一致,尽管不能排除治疗抵抗性可能是由于预先存在的微生物组差异所致。这些发现表明,之前报道的慢性精神分裂症患者的微生物组改变可能是由于药物或生活方式因素所致,未来的研究在设计和解释时应考虑这些变量。
JAMA Psychiatry. 2024-3-1
Cochrane Database Syst Rev. 2005-7-20
Cochrane Database Syst Rev. 2017-3-23
Cochrane Database Syst Rev. 2017-6-14
Health Technol Assess. 2001
Psychopharmacol Bull. 2024-7-8
Cochrane Database Syst Rev. 2013-10-15
Cochrane Database Syst Rev. 2021-4-19
Cochrane Database Syst Rev. 2013-3-28
J Transl Med. 2025-8-11
Adv Exp Med Biol. 2025
BJPsych Open. 2025-3-31
Front Psychiatry. 2024-7-10
Brain Behav Immun Health. 2024-6-21