Gut microbiome and metabolism alterations in schizophrenia with metabolic syndrome severity.

IF 3.4 2区 医学 Q2 PSYCHIATRY
Hongxia Zhao, Guang Zhu, Tong Zhu, Binbin Ding, Ahong Xu, Songyan Gao, Yufan Chao, Na Li, Yongchun Chen, Zuowei Wang, Yong Jie, Xin Dong
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Abstract

Background: Schizophrenia (SCZ) patients undergoing antipsychotic treatment demonstrated a high prevalence and harmful effects of metabolic syndrome (MetS), which acted as the major cause of cardiovascular disease. The major clinical challenge is the lack of biomarkers to identify MetS episodes and prevent further damage, while the mechanisms underlying these drug-induced MetS remain unknown.

Methods: This study divided 173 participants with SCZ into 3 groups (None, High risk, and MetS, consisting of 22, 88, and 63 participants, respectively). The potential biomarkers were searched based on 16S rRNA gene sequence together with metabolism analysis. Logistic regression was used to test the effects of the genus-metabolites panel on early MetS diagnoses.

Results: A genus-metabolites panel, consisting of Senegalimassilia, sphinganine, dihomo-gamma-linolenoylcholine, isodeoxycholic acid, and MG (0:0/22:5/0:0), which involved in sphigolipid metabolism, fatty acid metabolism, secondary bile acid biosynthesis and glycerolipid metabolism, has a great discrimination efficiency to MetS with an area under the curve (AUC) value of 0.911 compared to the None MetS group (P = 1.08E-8). Besides, Senegalimassilia, 3-Hydroxytetradecanoyl carnitine, isodeoxycholic acid, and DG(TXB2/0:0/2:0) distinguished between subgroups robustly and exhibited a potential correlation with the severity of MetS in patients with SCZ, and may act as the biomarkers for early MetS diagnosis.

Conclusions: Our multi-omics study showed that one bacterial genus-five lipid metabolites panel is the potential risk factor for MetS in SCZ. Furthermore, Senegalimassilia, 3-Hydroxytetradecanoyl carnitine, isodeoxycholic acid, and DG(TXB2/0:0/2:0) could serve as novel diagnostic markers in the early stage. So, it is obvious that the combination of bacterial genus and metabolites yields excellent discriminatory power, and the lipid metabolism provide new understanding to the pathogenesis, prevention, and therapy for MetS in SCZ.

代谢综合征严重程度的精神分裂症患者的肠道微生物组和代谢改变。
背景:接受抗精神病药物治疗的精神分裂症(SCZ)患者显示出代谢综合征(MetS)的高患病率和有害影响,而代谢综合征是心血管疾病的主要诱因。临床面临的主要挑战是缺乏生物标志物来识别代谢综合征的发作和预防进一步的损害,而这些药物诱发代谢综合征的机制仍然未知:本研究将173名SCZ患者分为3组(无、高危和MetS组,分别由22、88和63名患者组成)。根据 16S rRNA 基因序列和代谢分析寻找潜在的生物标志物。采用逻辑回归法检验了种属代谢物小组对早期 MetS 诊断的影响:结果:由Senegalimassilia、鞘氨醇、dihomo-gamma-linolenoylcholine、异脱氧胆酸和MG(0:0/22:5/0:0)组成的种属代谢物面板对MetS具有很高的鉴别效率,其曲线下面积(AUC)值为0.911 (P = 1.08E-8)。此外,Senegalimassilia、3-羟基十四碳酰肉碱、异脱氧胆酸和DG(TXB2/0:0/2:0)能很好地区分亚组,并显示出与SCZ患者MetS严重程度的潜在相关性,可作为早期MetS诊断的生物标志物:我们的多组学研究表明,一种细菌属--五种脂质代谢物是SCZ患者MetS的潜在风险因素。此外,Senegalimassilia、3-羟基十四酰肉碱、异脱氧胆酸和DG(TXB2/0:0/2:0)可作为早期诊断的新型标记物。由此可见,细菌属与代谢物的结合具有极好的鉴别力,而脂质代谢则为 SCZ 的发病机制、预防和治疗 MetS 提供了新的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Psychiatry
BMC Psychiatry 医学-精神病学
CiteScore
5.90
自引率
4.50%
发文量
716
审稿时长
3-6 weeks
期刊介绍: BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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