红细胞脂肪酸在精神病转化中的预测作用：一项临床高危个体的纵向研究

IF 3.2

Prostaglandins, leukotrienes, and essential fatty acids Pub Date : 2025-07-23 DOI:10.1016/j.plefa.2025.102698

LiHua Xu , YanYan Wei , XiaoChen Tang , ZhengHui Yi , XiaoHua Liu , HaiChun Liu , ZiXuan Wang , Tao Chen , Jin Gao , Qiang Hu , LingYun Zeng , ChunBo Li , JiJun Wang , TianHong Zhang

{"title":"红细胞脂肪酸在精神病转化中的预测作用：一项临床高危个体的纵向研究","authors":"LiHua Xu , YanYan Wei , XiaoChen Tang , ZhengHui Yi , XiaoHua Liu , HaiChun Liu , ZiXuan Wang , Tao Chen , Jin Gao , Qiang Hu , LingYun Zeng , ChunBo Li , JiJun Wang , TianHong Zhang","doi":"10.1016/j.plefa.2025.102698","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Fatty acid (FA) alterations are associated in patients with psychosis. This study aimed to investigate the role of FAs in predicting the conversion to psychosis in individuals at clinical high-risk (CHR) and to distinguish CHR individuals from healthy controls (HC).</div></div><div><h3>Materials and methods</h3><div>A three-year longitudinal study was conducted involving 67 CHR individuals and 25 HC participants. Comprehensive erythrocyte FA profiles were obtained from gas chromatography analysis at baseline, measuring 17 different FAs. Participants were followed for three years to determine outcomes, categorizing CHR individuals into converters to psychosis (CHR-C) and non-converters (CHR-NC). We employed LASSO regression models to identify key predictors for CHR-C from CHR and to distinguish CHR from HC. Receiver operating characteristic (ROC) curve analyses were performed to evaluate the models' predictive and discriminative abilities. Significant differences in FA profiles were observed among HC, CHR-C, and CHR-NC groups.</div></div><div><h3>Results</h3><div>CHR-C individuals exhibited higher levels of Eicosenoic acid(<em>p</em> = 0.016), Linoleic acid(<em>p</em> = 0.009), Eicosadienoic acid(<em>p</em> = 0.035) and Arachidonic acid(<em>p</em> = 0.037) compared to CHR-NC, whereas CHR individuals showed elevated levels of Palmitoleic acid(<em>p</em> = 0.002), Palmitic acid(<em>p</em> = 0.012), Eicosapentaenoic acid(<em>p</em> = 0.019) and Oleic acid(<em>p</em> = 0.039) compared to HC. The LASSO model identified key sociodemographic and FA predictors, including age, education, and specific FAs, for distinguishing CHR from HC, demonstrating high discriminative ability with an area under the ROC curve(AUC) of 0.894. For predicting CHR-C, the model highlighted gender and specific ω-6 FAs as potential predictors, with an AUC of 0.801.</div></div><div><h3>Discussion</h3><div>Our findings reveal distinct FA profiles among HC, CHR-C, and CHR-NC groups and identify key predictors for psychosis conversion and CHR status. These results underscore the significance of FAs in the various stages of psychosis development.</div></div>","PeriodicalId":94179,"journal":{"name":"Prostaglandins, leukotrienes, and essential fatty acids","volume":"206 ","pages":"Article 102698"},"PeriodicalIF":3.2000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictive role of erythrocyte fatty acids in conversion to psychosis: a longitudinal study of clinical high-risk individuals\",\"authors\":\"LiHua Xu , YanYan Wei , XiaoChen Tang , ZhengHui Yi , XiaoHua Liu , HaiChun Liu , ZiXuan Wang , Tao Chen , Jin Gao , Qiang Hu , LingYun Zeng , ChunBo Li , JiJun Wang , TianHong Zhang\",\"doi\":\"10.1016/j.plefa.2025.102698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>Fatty acid (FA) alterations are associated in patients with psychosis. This study aimed to investigate the role of FAs in predicting the conversion to psychosis in individuals at clinical high-risk (CHR) and to distinguish CHR individuals from healthy controls (HC).</div></div><div><h3>Materials and methods</h3><div>A three-year longitudinal study was conducted involving 67 CHR individuals and 25 HC participants. Comprehensive erythrocyte FA profiles were obtained from gas chromatography analysis at baseline, measuring 17 different FAs. Participants were followed for three years to determine outcomes, categorizing CHR individuals into converters to psychosis (CHR-C) and non-converters (CHR-NC). We employed LASSO regression models to identify key predictors for CHR-C from CHR and to distinguish CHR from HC. Receiver operating characteristic (ROC) curve analyses were performed to evaluate the models' predictive and discriminative abilities. Significant differences in FA profiles were observed among HC, CHR-C, and CHR-NC groups.</div></div><div><h3>Results</h3><div>CHR-C individuals exhibited higher levels of Eicosenoic acid(<em>p</em> = 0.016), Linoleic acid(<em>p</em> = 0.009), Eicosadienoic acid(<em>p</em> = 0.035) and Arachidonic acid(<em>p</em> = 0.037) compared to CHR-NC, whereas CHR individuals showed elevated levels of Palmitoleic acid(<em>p</em> = 0.002), Palmitic acid(<em>p</em> = 0.012), Eicosapentaenoic acid(<em>p</em> = 0.019) and Oleic acid(<em>p</em> = 0.039) compared to HC. The LASSO model identified key sociodemographic and FA predictors, including age, education, and specific FAs, for distinguishing CHR from HC, demonstrating high discriminative ability with an area under the ROC curve(AUC) of 0.894. For predicting CHR-C, the model highlighted gender and specific ω-6 FAs as potential predictors, with an AUC of 0.801.</div></div><div><h3>Discussion</h3><div>Our findings reveal distinct FA profiles among HC, CHR-C, and CHR-NC groups and identify key predictors for psychosis conversion and CHR status. These results underscore the significance of FAs in the various stages of psychosis development.</div></div>\",\"PeriodicalId\":94179,\"journal\":{\"name\":\"Prostaglandins, leukotrienes, and essential fatty acids\",\"volume\":\"206 \",\"pages\":\"Article 102698\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Prostaglandins, leukotrienes, and essential fatty acids\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0952327825000353\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Prostaglandins, leukotrienes, and essential fatty acids","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0952327825000353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

脂肪酸（FA）的改变与精神病患者有关。本研究旨在探讨FAs在预测临床高危人群（CHR）转化为精神病中的作用，并将CHR个体与健康对照（HC）区分开来。材料与方法对67名CHR个体和25名HC参与者进行了为期3年的纵向研究。在基线气相色谱分析中获得了全面的红细胞FA谱，测量了17种不同的FA。参与者随访三年以确定结果，将CHR个体分为精神病转化者（chrc）和非转化者（chrc - nc）。我们使用LASSO回归模型来识别CHR- c和CHR的关键预测因子，并区分CHR和HC。采用受试者工作特征（ROC）曲线分析评价模型的预测和判别能力。HC组、chrc组和chrc - nc组FA谱有显著差异。结果schr - c个体的二十烯酸（p = 0.016）、亚油酸（p = 0.009）、二十碳二烯酸（p = 0.035）和花生四烯酸（p = 0.037）水平高于HC，而CHR个体的棕榈油酸（p = 0.002）、棕榈酸（p = 0.012）、二十碳五烯酸（p = 0.019）和油酸（p = 0.039）水平高于HC。LASSO模型确定了关键的社会人口学和FA预测因子，包括年龄、教育程度和特定FA，用于区分CHR和HC，显示出较高的判别能力，ROC曲线下面积（AUC）为0.894。对于预测CHR-C，该模型突出了性别和特定ω-6 FAs作为潜在的预测因子，AUC为0.801。我们的研究结果揭示了HC、chrc和chrc - nc组中不同的FA特征，并确定了精神病转化和CHR状态的关键预测因素。这些结果强调了FAs在精神病发展的各个阶段的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Predictive role of erythrocyte fatty acids in conversion to psychosis: a longitudinal study of clinical high-risk individuals

Introduction

Fatty acid (FA) alterations are associated in patients with psychosis. This study aimed to investigate the role of FAs in predicting the conversion to psychosis in individuals at clinical high-risk (CHR) and to distinguish CHR individuals from healthy controls (HC).

Materials and methods

A three-year longitudinal study was conducted involving 67 CHR individuals and 25 HC participants. Comprehensive erythrocyte FA profiles were obtained from gas chromatography analysis at baseline, measuring 17 different FAs. Participants were followed for three years to determine outcomes, categorizing CHR individuals into converters to psychosis (CHR-C) and non-converters (CHR-NC). We employed LASSO regression models to identify key predictors for CHR-C from CHR and to distinguish CHR from HC. Receiver operating characteristic (ROC) curve analyses were performed to evaluate the models' predictive and discriminative abilities. Significant differences in FA profiles were observed among HC, CHR-C, and CHR-NC groups.

Results

CHR-C individuals exhibited higher levels of Eicosenoic acid(p = 0.016), Linoleic acid(p = 0.009), Eicosadienoic acid(p = 0.035) and Arachidonic acid(p = 0.037) compared to CHR-NC, whereas CHR individuals showed elevated levels of Palmitoleic acid(p = 0.002), Palmitic acid(p = 0.012), Eicosapentaenoic acid(p = 0.019) and Oleic acid(p = 0.039) compared to HC. The LASSO model identified key sociodemographic and FA predictors, including age, education, and specific FAs, for distinguishing CHR from HC, demonstrating high discriminative ability with an area under the ROC curve(AUC) of 0.894. For predicting CHR-C, the model highlighted gender and specific ω-6 FAs as potential predictors, with an AUC of 0.801.

Discussion

Our findings reveal distinct FA profiles among HC, CHR-C, and CHR-NC groups and identify key predictors for psychosis conversion and CHR status. These results underscore the significance of FAs in the various stages of psychosis development.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Prostaglandins, leukotrienes, and essential fatty acids Clinical Biochemistry, Endocrinology, Diabetes and Metabolism

CiteScore

5.30

自引率

0.00%

发文量

审稿时长

64 days