Suppr超能文献

血清有机酸代谢物可作为潜在的生物标志物,用于识别前列腺炎、良性前列腺增生和前列腺癌。

Serum organic acid metabolites can be used as potential biomarkers to identify prostatitis, benign prostatic hyperplasia, and prostate cancer.

机构信息

Central Laboratory, Central Hospital of Panyu District, Guangzhou, China.

Urinary Surgery Department, Central Hospital of Panyu District, Guangzhou, China.

出版信息

Front Immunol. 2023 Jan 4;13:998447. doi: 10.3389/fimmu.2022.998447. eCollection 2022.

Abstract

BACKGROUND

Noninvasive methods for the early identify diagnosis of prostatitis, benign prostatic hyperplasia (BPH), and prostate cancer (PCa) are current clinical challenges.

METHODS

The serum metabolites of 20 healthy individuals and patients with prostatitis, BPH, or PCa were identified using untargeted liquid chromatography-mass spectrometry (LC-MS). In addition, targeted LC-MS was used to verify the organic acid metabolites in the serum of a validation cohort.

RESULTS

Organic acid metabolites had good sensitivity and specificity in differentiating prostatitis, BPH, and PCa. Three diagnostic models identified patients with PROSTATITIS: phenyllactic acid (area under the curve [AUC]=0.773), pyroglutamic acid (AUC=0.725), and pantothenic acid (AUC=0.721). Three diagnostic models identified BPH: citric acid (AUC=0.859), malic acid (AUC=0.820), and D-glucuronic acid (AUC=0.810). Four diagnostic models identified PCa: 3-hydroxy-3-methylglutaric acid (AUC=0.804), citric acid (AUC=0.918), malic acid (AUC=0.862), and phenyllactic acid (AUC=0.713). Two diagnostic models distinguished BPH from PCa: phenyllactic acid (AUC=0.769) and pyroglutamic acid (AUC=0.761). Three diagnostic models distinguished benign BPH from PROSTATITIS: citric acid (AUC=0.842), ethylmalonic acid (AUC=0.814), and hippuric acid (AUC=0.733). Six diagnostic models distinguished BPH from prostatitis: citric acid (AUC=0.926), pyroglutamic acid (AUC=0.864), phenyllactic acid (AUC=0.850), ethylmalonic acid (AUC=0.843), 3-hydroxy-3-methylglutaric acid (AUC=0.817), and hippuric acid (AUC=0.791). Three diagnostic models distinguished PCa patients with PROSTATITISA < 4.0 ng/mL from those with PSA > 4.0 ng/mL: 5-hydromethyl-2-furoic acid (AUC=0.749), ethylmalonic acid (AUC=0.750), and pyroglutamic acid (AUC=0.929). Conclusions: These results suggest that serum organic acid metabolites can be used as biomarkers to differentiate prostatitis, BPH, and PCa.

摘要

背景

目前临床上需要非侵入性方法来早期识别前列腺炎、良性前列腺增生(BPH)和前列腺癌(PCa)。

方法

采用非靶向液相色谱-质谱联用(LC-MS)技术对 20 例健康个体和前列腺炎、BPH 或 PCa 患者的血清代谢物进行鉴定。此外,采用靶向 LC-MS 对验证队列中血清中的有机酸代谢物进行验证。

结果

有机酸代谢物在区分前列腺炎、BPH 和 PCa 方面具有良好的灵敏度和特异性。三种诊断模型可识别前列腺炎患者:苯乳酸(AUC=0.773)、焦谷氨酸(AUC=0.725)和泛酸(AUC=0.721)。三种诊断模型可识别 BPH:柠檬酸(AUC=0.859)、苹果酸(AUC=0.820)和 D-葡糖醛酸(AUC=0.810)。四种诊断模型可识别 PCa:3-羟基-3-甲基戊二酸(AUC=0.804)、柠檬酸(AUC=0.918)、苹果酸(AUC=0.862)和苯乳酸(AUC=0.713)。两种诊断模型可区分 BPH 和 PCa:苯乳酸(AUC=0.769)和焦谷氨酸(AUC=0.761)。三种诊断模型可区分良性 BPH 和前列腺炎:柠檬酸(AUC=0.842)、乙基丙二酸(AUC=0.814)和马尿酸(AUC=0.733)。六种诊断模型可区分 BPH 和前列腺炎:柠檬酸(AUC=0.926)、焦谷氨酸(AUC=0.864)、苯乳酸(AUC=0.850)、乙基丙二酸(AUC=0.843)、3-羟基-3-甲基戊二酸(AUC=0.817)和马尿酸(AUC=0.791)。三种诊断模型可区分 PSA<4.0ng/ml 的 PCa 患者和 PSA>4.0ng/ml 的 PCa 患者:5-羟甲基-2-糠酸(AUC=0.749)、乙基丙二酸(AUC=0.750)和焦谷氨酸(AUC=0.929)。结论:这些结果表明,血清有机酸代谢物可用作区分前列腺炎、BPH 和 PCa 的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/108b/9846500/43d2cb2b0d4a/fimmu-13-998447-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验