Ask about this productRelated genes to: HAGH antibody
- Gene:
- HAGH NIH gene
- Name:
- hydroxyacylglutathione hydrolase
- Previous symbol:
- -
- Synonyms:
- GLO2, GLXII, HAGH1
- Chromosome:
- 16p13.3
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2015-08-25
Related products to: HAGH antibody
Related articles to: HAGH antibody
- Differentiating bipolar disorder (BD) from major depressive disorder (MDD) remains a critical unmet need in psychiatry due to overlapping clinical presentations and the absence of reliable biological markers. In this study, we assessed the capacity of multivariate machine learning models to accurately differentiate BD from MDD with melancholic features using plasma proteomic profiles obtained via Proximity Extension Assay (PEA) technology. A total of 67 participants were included (23 BD, 20 MDD, and 24 HC), and plasma protein expression was assessed using the Olink Target 96 Neurology panel. Differential proteomic analysis revealed distinct disorder-specific expression patterns, identifying 21 differentially expressed proteins in BD versus MDD, 18 in BD versus healthy controls, and 7 in MDD versus healthy controls. Using a stepwise feature reduction strategy, machine learning models were trained on three feature sets comprising all proteins, the top 20 most informative proteins, and the top 5 most beneficial proteins, and evaluated across BD-MDD, BD-HC, and MDD-HC classification tasks using five algorithms. For BD-MDD discrimination, the Random Forest model achieved the highest performance when trained on the top 5 protein set (LXN, HAGH, MATN3, PLXNB1, and CTSC), yielding an AUC of 0.905, with similarly strong performance observed using the top 20 protein set. Feature importance analysis highlighted proteins involved in neurodevelopmental processes, immune regulation, and extracellular matrix organization. Overall, these findings demonstrate that integrating plasma proteomics with machine learning enables robust differentiation between BD and MDD with melancholic features, supporting the development of scalable and biologically informed diagnostic tools for precision psychiatry. - Source: PubMed
Publication date: 2026/09/09
Karacicek BilgeOzturk BilgesuArioz Burak IHok-A-Hin Yanaika SCavusoglu BerrinVerim BurcuBalaç SinemBabalıoğlu Reyhan NurGurkas SenaDaglar Zeynep GulCeylan DenizBora EmreTeunissen Charlotte EGenc SerminKeskinoglu Pembe - To characterize hearing impairment in patients with axial spondyloarthritis (axSpA) and identify associated clinical and molecular factors. - Source: PubMed
Publication date: 2026/07/29
Arias-de la Rosa IvánLadehesa Pineda María LourdesCastellano-Curado JesusRodríguez-Pérez LeonardoCollantes-Sánchez Carlos MPérez-Sánchez CarlosRuiz-Ponce MiriamBarranco Antonio ManuelMartín-Salazar Jesús EduardoOrtiz-Buitrago PedroÁbalos-Aguilera María Del CarmenRuiz-Vilchez DesireePuche-Larrubia María ÁngelesLopez-Pedrera CharyEscudero-Contreras AlejandroCollantes-Estévez EduardoBarbarroja NuriaLópez-Medina Clementina - Post-COVID condition is a heterogeneous, multi-system sequela of SARS-CoV-2 infection that imposes substantial socioeconomic burden and currently needs validated diagnostic biomarkers or established therapeutic pathways. This brief communication synthesises blood-based proteomic and targeted biomarker evidence and organises it into three overlapping pathophysiological domains: persistent immune dysregulation (IL-6, IL-20, MCP-1 and TNF- α), endothelial dysfunction and disordered haemostasis (VEGF-A, P-selectin, vWF, ICAM-1 and D-dimer); and neurological injury (NFL, GFAP, NAAA, LXN, NBL1, HAGH). Across studies, no single protein provides adequate diagnostic performance; phenotype-linked multi-analyte panels show the greatest promise. Researching post-COVID conditions requires harmonised case definitions, cross-platform validation, and the integration of coagulation assays and extracellular vesicle profiling to improve tissue signal detection. - Source: PubMed
Publication date: 2026/06/24
Bansal Amit - This study developed a prognostic model for hepatocellular carcinoma (HCC) based on cancer stem cell (CSC)-related modules identified by high-dimensional WGCNA (hdWGCNA). - Source: PubMed
Publication date: 2026/06/22
Yin XielingZhou YuanChen ShiMa ChunyangWu HongfeiCao HuiShi WeiLiang Chi - Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiation therapy, often poorly predicted by static clinical and dosimetric models. We aimed to identify a robust, blood-based proteomic signature grounded in the longitudinal biological response to radiation to enable accurate, early risk stratification. - Source: PubMed
Publication date: 2026/05/22
Wu LingyunMasaki NakamuraMukohara ToruYang JingSun ZeyuRen ChunyunChen DeyingJiang KanTang QiuyingDing KaikaiYin XinYu HaoZhou YuzhengWang SiyuanYin JieYan YonghengHe YuLi QuanhaiWei WeiLu ZhongjieSun XiaoliMa ChiyuanYe XianghuaYan Senxiang