Impact of Confounding Factors in Human Postmortem Brain Tissues on Gene Expression Profiles: A Comparison of Patients With Schizophrenia, Bipolar Disorder, and Nonpsychiatric Controls.

IF 2 Q3 NEUROSCIENCES
Masataka Hatano, Atsuko Nagaoka, Kazusa Miyahara, Yuto Hosogai, Risa Shishido, Hideomi Hamasaki, Mizuki Hino, Akiyoshi Kakita, Hiroaki Tomita, Yasuto Kunii, Itaru Miura
{"title":"Impact of Confounding Factors in Human Postmortem Brain Tissues on Gene Expression Profiles: A Comparison of Patients With Schizophrenia, Bipolar Disorder, and Nonpsychiatric Controls.","authors":"Masataka Hatano, Atsuko Nagaoka, Kazusa Miyahara, Yuto Hosogai, Risa Shishido, Hideomi Hamasaki, Mizuki Hino, Akiyoshi Kakita, Hiroaki Tomita, Yasuto Kunii, Itaru Miura","doi":"10.1002/npr2.70053","DOIUrl":null,"url":null,"abstract":"<p><p>Controlling for confounding factors in postmortem brain studies of psychiatric disorders is crucial, particularly in gene expression analyses. Potential confounding factors include sex, age at death, medication history, agonal state, postmortem interval (PMI), tissue storage duration, tissue pH, and RNA integrity number (RIN). pH and RIN are considered particularly important in gene expression analysis because they accurately reflect mRNA quality. We previously found that pH and RIN affected the levels of genes related to the cell cycle and RNA processing, respectively, and both affected genes involved in energy production and the immune system. In this study, we investigated the influence of confounding factors on gene expression profiles in psychiatric disorders. We measured gene expression levels in the prefrontal cortex of 25 deceased patients with schizophrenia, 10 with bipolar disorder, and 21 nonpsychiatric controls via RNA sequencing, and identified genes associated with pH, RIN, PMI, sex, age at death, tissue storage duration, and antipsychotic drug dose. We identified key molecular pathways through Ingenuity Pathway Analysis. The total number of mRNA variants significantly correlated with gene expression, and each confounding factor was as follows: 139 for sex, 87 for age, 99 for PMI, 35 386 for pH, 11 373 for RIN, and 13 414 for storage duration. We identified strong associations with metabolic, immune, energy production, and DNA repair pathways. The expression of certain genes was strongly associated with different confounding factors; therefore, it is necessary to consider these factors when interpreting the gene expression profile in brain tissue.</p>","PeriodicalId":19137,"journal":{"name":"Neuropsychopharmacology Reports","volume":"45 3","pages":"e70053"},"PeriodicalIF":2.0000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416912/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuropsychopharmacology Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/npr2.70053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Controlling for confounding factors in postmortem brain studies of psychiatric disorders is crucial, particularly in gene expression analyses. Potential confounding factors include sex, age at death, medication history, agonal state, postmortem interval (PMI), tissue storage duration, tissue pH, and RNA integrity number (RIN). pH and RIN are considered particularly important in gene expression analysis because they accurately reflect mRNA quality. We previously found that pH and RIN affected the levels of genes related to the cell cycle and RNA processing, respectively, and both affected genes involved in energy production and the immune system. In this study, we investigated the influence of confounding factors on gene expression profiles in psychiatric disorders. We measured gene expression levels in the prefrontal cortex of 25 deceased patients with schizophrenia, 10 with bipolar disorder, and 21 nonpsychiatric controls via RNA sequencing, and identified genes associated with pH, RIN, PMI, sex, age at death, tissue storage duration, and antipsychotic drug dose. We identified key molecular pathways through Ingenuity Pathway Analysis. The total number of mRNA variants significantly correlated with gene expression, and each confounding factor was as follows: 139 for sex, 87 for age, 99 for PMI, 35 386 for pH, 11 373 for RIN, and 13 414 for storage duration. We identified strong associations with metabolic, immune, energy production, and DNA repair pathways. The expression of certain genes was strongly associated with different confounding factors; therefore, it is necessary to consider these factors when interpreting the gene expression profile in brain tissue.

人类死后脑组织中混杂因素对基因表达谱的影响:精神分裂症、双相情感障碍和非精神病学对照患者的比较
在精神疾病的死后脑研究中控制混杂因素是至关重要的,特别是在基因表达分析中。潜在的混杂因素包括性别、死亡年龄、用药史、agonal状态、死后间隔(PMI)、组织储存时间、组织pH值和RNA完整性数(RIN)。pH和RIN在基因表达分析中被认为特别重要,因为它们准确地反映了mRNA的质量。我们之前发现pH和RIN分别影响与细胞周期和RNA加工相关的基因水平,两者都影响涉及能量产生和免疫系统的基因。在这项研究中,我们调查了混杂因素对精神疾病基因表达谱的影响。我们通过RNA测序测量了25名已故精神分裂症患者、10名双相情感障碍患者和21名非精神病对照患者前额叶皮层的基因表达水平,并鉴定了与pH、RIN、PMI、性别、死亡年龄、组织储存时间和抗精神病药物剂量相关的基因。我们通过独创性途径分析确定了关键的分子途径。mRNA变异总数与基因表达显著相关,各混杂因子分别为:性别139个、年龄87个、PMI 99个、pH 35 386个、RIN 11 373个、贮藏时间13 414个。我们发现了与代谢、免疫、能量产生和DNA修复途径的强烈关联。某些基因的表达与不同的混杂因素密切相关;因此,在解释脑组织基因表达谱时,有必要考虑这些因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Neuropsychopharmacology Reports
Neuropsychopharmacology Reports Psychology-Clinical Psychology
CiteScore
3.60
自引率
4.00%
发文量
75
审稿时长
14 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信