Exploring serum amino acid signatures as potential biomarkers in Hashimoto's thyroiditis patients

IF 1.8 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Biomedical Chromatography Pub Date : 2024-08-01 DOI:10.1002/bmc.5970
Ebru Temiz, Sukru Akmese, Ismail Koyuncu, Dursun Barut
{"title":"Exploring serum amino acid signatures as potential biomarkers in Hashimoto's thyroiditis patients","authors":"Ebru Temiz,&nbsp;Sukru Akmese,&nbsp;Ismail Koyuncu,&nbsp;Dursun Barut","doi":"10.1002/bmc.5970","DOIUrl":null,"url":null,"abstract":"<p>Hashimoto's thyroiditis (HT) is an autoimmune disease caused by the immune system attacking healthy tissues. However, the exact pathogenesis of HT remains unclear. Metabolomic analysis was performed to obtain information about the possible pathogenic mechanisms and diagnostic biomarkers of HT. The amino acid profile was analyzed using an LC–MS/MS method using serum samples obtained from 30 patients diagnosed with ultrasonographic imaging and laboratory markers (thyroid stimulating hormone) free thyroxine and thyroid peroxidase) and 30 healthy individuals. There were statistically significant changes in 27 amino acids out of 32 amino acids analyzed (<i>p</i> &lt; 0.05). Based on the receiver operating characteristic curve analysis, the six amino acid (1-methylhistidine, cystine, norvaline, histidine, glutamic acid and leucine) biomarkers showed high sensitivity, specificity (area under the curve &gt; 0.98), positive likelihood ratio and low negative likelihood ratio. Also, according to pathway analysis, degradation of phenylalanine, tyrosine and tryptophan biosynthesis was the highest metabolic pathway according to the impact value (<i>p</i> &lt; 0.001 and impact value = 1.0). We provide serum amino acid profiles of patients with Hashimoto's thyroiditis and identify five potential biomarkers for early diagnosis by clinicians.</p>","PeriodicalId":8861,"journal":{"name":"Biomedical Chromatography","volume":"38 10","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Chromatography","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/bmc.5970","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Hashimoto's thyroiditis (HT) is an autoimmune disease caused by the immune system attacking healthy tissues. However, the exact pathogenesis of HT remains unclear. Metabolomic analysis was performed to obtain information about the possible pathogenic mechanisms and diagnostic biomarkers of HT. The amino acid profile was analyzed using an LC–MS/MS method using serum samples obtained from 30 patients diagnosed with ultrasonographic imaging and laboratory markers (thyroid stimulating hormone) free thyroxine and thyroid peroxidase) and 30 healthy individuals. There were statistically significant changes in 27 amino acids out of 32 amino acids analyzed (p < 0.05). Based on the receiver operating characteristic curve analysis, the six amino acid (1-methylhistidine, cystine, norvaline, histidine, glutamic acid and leucine) biomarkers showed high sensitivity, specificity (area under the curve > 0.98), positive likelihood ratio and low negative likelihood ratio. Also, according to pathway analysis, degradation of phenylalanine, tyrosine and tryptophan biosynthesis was the highest metabolic pathway according to the impact value (p < 0.001 and impact value = 1.0). We provide serum amino acid profiles of patients with Hashimoto's thyroiditis and identify five potential biomarkers for early diagnosis by clinicians.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
探索作为桥本氏甲状腺炎患者潜在生物标记物的血清氨基酸特征。
桥本氏甲状腺炎(HT)是一种由免疫系统攻击健康组织引起的自身免疫性疾病。然而,桥本氏甲状腺炎的确切发病机制仍不清楚。为了获得有关桥本氏甲状腺炎可能的致病机制和诊断生物标志物的信息,我们进行了代谢组学分析。研究人员采用 LC-MS/MS 方法,对 30 名经超声成像和实验室指标(促甲状腺激素、游离甲状腺素和甲状腺过氧化物酶)确诊的患者和 30 名健康人的血清样本进行了氨基酸谱分析。在分析的 32 种氨基酸中,有 27 种氨基酸的变化具有统计学意义(p 0.98),阳性似然比和阴性似然比均较低。此外,根据途径分析,苯丙氨酸、酪氨酸和色氨酸生物合成的降解是影响值最高的代谢途径(p<0.05)。
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 去求助
来源期刊
Biomedical Chromatography
Biomedical Chromatography 生物-分析化学
CiteScore
3.60
自引率
5.60%
发文量
268
审稿时长
2.3 months
期刊介绍: Biomedical Chromatography is devoted to the publication of original papers on the applications of chromatography and allied techniques in the biological and medical sciences. Research papers and review articles cover the methods and techniques relevant to the separation, identification and determination of substances in biochemistry, biotechnology, molecular biology, cell biology, clinical chemistry, pharmacology and related disciplines. These include the analysis of body fluids, cells and tissues, purification of biologically important compounds, pharmaco-kinetics and sequencing methods using HPLC, GC, HPLC-MS, TLC, paper chromatography, affinity chromatography, gel filtration, electrophoresis and related techniques.
期刊最新文献
Anti-LSSDS pharmacological components identification of YuHuangLian based on the combination of spectrum-effect analysis and network pharmacology as well as molecular docking. Covalent organic frameworks and related innovative materials in chiral separation and recognition. Evaluation of various polysaccharide-based stationary phases for enantioseparation of chloro-containing derivatives in normal phase liquid chromatography. Herb-drug interaction study of Yiqi Fumai lyophilized injection (YQFM) on pharmacokinetics of aspirin, nifedipine, and clopidogrel in rats. Revealing the mechanism of Gualou-Xiebai against myocardial ischemia based on network pharmacology and energy metabolism strategies.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1