Elguoshy Amr, Yamamoto Keiko, Hirao Yoshitoshi, Uchimoto Tomohiro, Yanagita Kengo, Yamamoto Tadashi
Biofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan.
Department of Biotechnology, Faculty of Agriculture, Al-Azhar University, Cairo 11651, Egypt.
Proteomes. 2024 Jun 25;12(3):18. doi: 10.3390/proteomes12030018.
Examining the composition of the typical urinary peptidome and identifying the enzymes responsible for its formation holds significant importance, as it mirrors the normal physiological state of the human body. Any deviation from this normal profile could serve as an indicator of pathological processes occurring in vivo. Consequently, this study focuses on characterizing the normal urinary peptidome and investigating the various catalytic enzymes that are involved in generating these native peptides in urine. Our findings reveal that 1503 endogenous peptides, corresponding to 436 precursor proteins, were consistently identified robustly in at least 10 samples out of a total of 19 samples. Notably, the liver and kidneys exhibited the highest number of tissue-enriched or enhanced genes in the analyzed urinary peptidome. Furthermore, among the catalytic types, CTSD (cathepsin D) and MMP2 (matrix metalloproteinase-2) emerged as the most prominent peptidases in the aspartic and metallopeptidases categories, respectively. A comparison of our dataset with two of the most comprehensive urine peptidome datasets to date indicates a consistent relative abundance of core endogenous peptides for different proteins across all three datasets. These findings can serve as a foundational reference for the discovery of biomarkers in various human diseases.
研究典型尿肽组的组成并鉴定其形成过程中负责的酶具有重要意义,因为它反映了人体的正常生理状态。任何偏离这种正常谱型的情况都可能作为体内发生病理过程的指标。因此,本研究着重于表征正常尿肽组,并研究参与在尿液中产生这些天然肽的各种催化酶。我们的研究结果表明,在总共19个样本中,至少有10个样本中始终能可靠地鉴定出与436种前体蛋白相对应的1503种内源性肽。值得注意的是,在所分析的尿肽组中,肝脏和肾脏表现出组织富集或增强基因的数量最多。此外,在催化类型中,组织蛋白酶D(CTSD)和基质金属蛋白酶2(MMP2)分别在天冬氨酸蛋白酶和金属蛋白酶类别中成为最突出的肽酶。将我们的数据集与迄今为止两个最全面的尿肽组数据集进行比较表明,所有三个数据集中不同蛋白质的核心内源性肽的相对丰度一致。这些发现可为发现各种人类疾病中的生物标志物提供基础参考。