Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach DOI Creative Commons
Jiaqi Wang,

Ronggang Xi,

Yi Wang

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 26(1)

Published: Nov. 22, 2024

Abstract Major depressive disorder (MDD) is a severe psychiatric that currently lacks any objective diagnostic markers. Here, we develop deep learning approach to discover the mass spectrometric features can discriminate MDD patients from health controls. Using plasma peptides, neural network, termed as CMS-Net, perform diagnosis and prediction with an accuracy of 0.9441. The sensitivity specificity reached 0.9352 0.9517 respectively, area under curve was enhanced 0.9634. gradient-based feature importance method interpret crucial features, identify 28 differential peptide sequences 14 precursor proteins (e.g. hemoglobin, immunoglobulin, albumin, etc.). This work highlights possibility molecular aid chemical computer science.

Language: Английский

Association of branched-chain amino acids with major depressive disorder: A bidirectional Mendelian randomization study DOI
Zhongxuan Ma, Ruyi Zhang, Dawei Yuan

et al.

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
UPLC-ESI-Q-TOF-MS/MS based metabolomics investigation on chemical constituent consistency of Zhenwu Decoction before and after compatibility DOI

Yaxiu Su,

Luoyi Shen,

Peixi Zhu

et al.

Journal of Pharmaceutical and Biomedical Analysis, Journal Year: 2024, Volume and Issue: 246, P. 116222 - 116222

Published: May 13, 2024

Language: Английский

Citations

2
Depressive and Anxiety Disorders and Urinary Biomarkers DOI

Akiko Fujita,

Keiko Kato

Springer eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 37

Published: Jan. 1, 2024

Language: Английский

Citations

0
AMP-Activated Protein Kinase Treatment Ameliorates Chronic Restraint Stress Induced Memory Impairment in Early Adolescent Rat by Restoring Metabolite Profile and Synaptic Proteins DOI
Koilmani Emmanuvel Rajan,

Baskaran Nishanthini,

Swamynathan Sowndharya

et al.

Neurochemical Research, Journal Year: 2024, Volume and Issue: 50(1)

Published: Nov. 18, 2024

Language: Английский

Citations

0
Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach DOI Creative Commons
Jiaqi Wang,

Ronggang Xi,

Yi Wang

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 26(1)

Published: Nov. 22, 2024

Abstract Major depressive disorder (MDD) is a severe psychiatric that currently lacks any objective diagnostic markers. Here, we develop deep learning approach to discover the mass spectrometric features can discriminate MDD patients from health controls. Using plasma peptides, neural network, termed as CMS-Net, perform diagnosis and prediction with an accuracy of 0.9441. The sensitivity specificity reached 0.9352 0.9517 respectively, area under curve was enhanced 0.9634. gradient-based feature importance method interpret crucial features, identify 28 differential peptide sequences 14 precursor proteins (e.g. hemoglobin, immunoglobulin, albumin, etc.). This work highlights possibility molecular aid chemical computer science.

Language: Английский

Citations

0