PRG3

Last update 08 May 2025

Basic Info

Synonyms

Eosinophil major basic protein homolog, MBP2, MBPH

+ [5]

Introduction

Possesses similar cytotoxic and cytostimulatory activities to PRG2/MBP. In vitro, stimulates neutrophil superoxide production and IL8 release, and histamine and leukotriene C4 release from basophils.

100 Clinical Results associated with PRG3

100 Translational Medicine associated with PRG3

0 Patents (Medical) associated with PRG3

Literatures (Medical) associated with PRG3

01 Jan 2025·Food Chemistry

Physicochemical and stability analysis of mung bean protein hydrolysates with lipid peroxidation inhibition

Article

Author: Hou, Peilin ; Li, Wei ; Yang, Tan ; Zhang, Yanqing ; Xie, Junbo

This study investigated mung bean protein hydrolysates (MBPH) produced using neutral protease, examining their physicochemical properties, stability, and lipid peroxidation inhibition capabilities. The research revealed that MBPH molecular weight ranged from 17 to 26 kDa and perform various functions, including catalytic, nutrient storage, and binding. Stability assessments showed that MBPH are stable at 45 °C and pH of 7.5 but are light-sensitive and unstable in solution or when combined with sugars. Additionally, increased concentrations of digestive enzymes reduce MBPH stability. Antioxidant tests in vitro and in Caenorhabditis elegans confirmed MBPH's ability to neutralizing radicals, enhance antioxidant enzyme activities, and reduce lipid peroxidation, thereby protecting against oxidative damage. Furthermore, in vivo experiments showed that MBPH extend the lifespan of worms and reduced their body lipid content, indicating potential benefits in mitigating cholesterol-related damage. This research demonstrates the potential of MBPH in inhibiting lipid peroxidation.

01 Dec 2024·Alzheimer's & Dementia

Multi‐ancestry Genome‐wide Gene‐Vascular Risk Factors Interaction Analyses in Alzheimer’s Disease

Article

Author: Wang, Yanling ; Cui, Zuoqiao ; De Jager, Philip L. ; Schneider, Julie A. ; Mayeux, Richard ; Farrer, Lindsay A. ; Biber, Sarah A ; Reyes‐Dumeyer, Dolly ; Mez, Jesse ; Brickman, Adam M. ; Bennett, David A. ; Jiménez‐Velázquez, Ivonne Z. ; Mejia, Diones Rivera ; Menon, Vilas ; Tosto, Giuseppe ; Chung, Jaeyoon ; Vardarajan, Badri N. ; Song, Zhengwei ; Kukull, Walter A. ; Lantigua, Rafael A. ; Medrano, Martin ; Kizil, Caghan ; Lee, Annie J.

AbstractBackgroundCardio and cerebrovascular risk factors (CVRFs) increase the risk of cerebrovascular disease and clinical Alzheimer’s Disease (AD), and over 70% of the patients with AD coincident cerebrovascular pathology. We previously found that FMNL2 interacts with a burden score of hypertension, diabetes, heart disease, and body mass index (BMI) by altering the normal astroglial‐vascular mechanisms that underly amyloid clearance. Stroke, defined by history of a clinical stroke or brain imaging, is a moderately robust risk factor for AD and dementia. The goal here was to identify genes that interact with CVRFs, incorporating stroke as an additional factor, on AD in multi‐ethnic cohorts.MethodWe conducted a genome‐wide gene‐CVRF score interaction analysis for AD, in 7,939 AD patients and 9,631 controls from eight multi‐ethnic cohorts of non‐Hispanic Whites, African Americans, and Hispanics including ADNI, NACC, NOMAS, WHICAP, EFIGA, and ROSMAP. A CVRF score was created from the first principal component of history of clinical stroke, hypertension, diabetes, and heart disease, and measured BMI. Gene‐based interaction test was performed with the adaptive gene‐environment interaction test. Results were summarized using a meta‐analysis. We investigated the association of pathological AD, amyloid‐β, or brain infarcts with gene expression and protein expression from the frontal cortex in ROSMAP using a generalized linear model. Age, sex, and the first three principal components were adjusted in the models.ResultThe interaction of CVRF score with FMNL2 on AD (p = 1.02E‐05) was identified and additional genes were identified to interact with CVRF score, including SLC22A14 (p = 1.44E‐06), AMMECR1L (p = 2.74E‐06), PRG3 (p = 2.76E‐06), CFAP99 (p = 5.22E‐06), ADPGK‐AS1 (p = 8.58E‐06) and BRINP1 (p = 6.29E‐06). ADPGK‐AS1 and FMNL2 gene expressions were associated with pathological AD (p = 0.004 and p = 0.0002). FMNL2 and BRINP1 gene expressions were higher in the brains of patients with brain infarcts (p = 0.025 and p = 0.006). BRINP1 protein expression was associated with pathological AD (p = 0.0002) and was higher in the brains of patients with brain infarcts (p = 0.022).ConclusionWe identified novel candidate genes that interact with CVRFs on AD in multi‐ethnic cohorts. Understanding the interplay between genes, CVRFs, and AD has the potential to reveal novel molecular targets for prevention and treatment for AD.

12 Aug 2024·Translational Vision Science & Technology

Identification of Optic Nerve–Related Biomarkers in Primary Open-Angle Glaucoma Based on Comprehensive Bioinformatics and Mendelian Randomization

Article

Author: Wang, Aiqin ; Li, Juan ; Rao, Zixuan ; Dai, Qing ; Fan, Yuchen ; Zhao, Sijie ; Gao, Ziqing

PurposeGlaucoma is the primary cause of permanent vision loss worldwide. However, the pathogenesis of primary open-angle glaucoma (POAG), the main type of glaucoma, has not yet been completely understood.MethodsIn our study, the POAG cohorts were obtained from the Gene Expression Omnibus (GEO) database (GSE45570). Biomarkers with diagnostic utility for POAG were identified through combining differentially expressed analysis, enrichment analysis, machine learning algorithms, and receiver operating characteristic (ROC) analysis. The regulatory networks (including a competing endogenous RNA (ceRNA) regulatory network and a small molecule compounds-mRNA network) were created. In addition, the Mendelian randomization (MR) analysis was used to identify exposures causally associated with POAG. Finally, the expression of the biomarkers was validated via real-time quantitative polymerase chain reaction (RT-qPCR).ResultsThe Gene Ontology (GO) items that the differentially expressed genes (DEGs) between POAG and control groups enriched were relevant to light stimulation and DNA methylation. A total of three light stimulation-related biomarkers (RAB8A, PRG3, and SMAD3) were identified, which had diagnostic value for POAG patients. Besides, the ceRNA regulatory network contained 88 nodes and 93 edges, and a small molecule compounds-mRNA network included 66 nodes and 76 edges. The MR results indicated a causal association between DNA methylation GrimAge acceleration and POAG. Additionally, the results of RT-qPCR revealed that the expression trend of RAB8A was consistent with that of GSE45570.ConclusionsTaken together, this study provides three light stimulation-related biomarkers (RAB8A, PRG3, and SMAD3) for the diagnosis of POAG, providing scientifically valuable insights for further studies of POAG.Translational RelevanceDiscovering biomarkers that possess diagnostic significance for POAG has the potential to offer new insights into the pathogenesis of POAG and present novel objectives for clinical intervention.

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