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This study aims to assess the association of polymorphisms and mRNA expression of adipocyte-type fatty acid-binding protein (A-FABP) with intramuscular fat (IMF) in the breast muscle (BM) and leg muscle (LM) of Baicheng-You chickens (BYCs). A total of 180 chickens, including sixty black Baicheng-You chickens (BBYCs), sixty silky Baicheng-You chickens (SBYCs) and sixty white Baicheng-You chickens (WBYCs), were reared from 1 to 120 day. A polymerase chain reaction-single-strand conformation polymorphism strategy (PCR-SSCP) was used to detect the polymorphism of the A-FABP gene in the first exon, and the C51T silent mutational site was found. The IMF content with the AA genotype was significantly higher than that with the AG genotype (p = 0.0473) in the LM of WBYC. Thus, this site could be taken as a molecular marker in selecting a higher IMF content of LM in WBYC. A-FABP gene mRNA expression in the BM and LM of BYCs was detected, and a significant positive correlation was observed in the LM of WBYC. These findings provide fundamental data that might be useful in further study of the role of the A-FABP gene in IMF content and fatty metabolism in chickens.
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http://dx.doi.org/10.1111/jpn.13150 | DOI Listing |
Acta Crystallogr D Struct Biol
August 2025
Therapeutic Modalities, Innovation Center Basel, F. Hoffmann-La Roche, Grenzacherstrasse 124, 4070 Basel, Switzerland.
Fatty acid-binding proteins (FABPs) are involved in the uptake and intracellular trafficking of fatty acids for metabolic and gene-regulatory purposes. FABPs are known to associate with membranes and also enter the nucleus. Using NMR and a human FABP4 (hFABP4) preparation completely free of endogenous ligands, we studied the influence of fatty acids and inhibitors on the conformational flexibility and bicelle/membrane association of this isoform.
View Article and Find Full Text PDFSci Rep
July 2025
Department of Surgery, University of Minnesota, MMC195, 420 Delaware St. SE, Minneapolis, 55455, MN, USA.
Obesity is a known risk factor for Pancreatic ductal adenocarcinoma (PDAC). Fatty acid binding protein 4 (FABP4) is higher in plasma of obese patients, and linked to the progression of obesity-related cancers. To provide insights into the role of FABP4 in PDAC progression and determine the potential of FABP4 inhibitor for PDAC treatment, we elucidated the anticancer mechanism of FABP4 inhibition using FABP4 null mice and FABP4 inhibitor (HTS01037).
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July 2025
Department of Cardiovascular Medicine, Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Pulmonary hypertension due to left heart disease (PH-LHD) is a prevalent and fatal condition with limited therapeutic options. This study investigates the role and mechanisms of fatty acid binding protein 4 (FABP4) in PH-LHD development. Plasma FABP4 levels were significantly elevated in PH-LHD patients (n = 36) compared to left heart disease patients without PH (noPH-LHD, n = 33) and correlated positively with NT-proBNP.
View Article and Find Full Text PDFEur J Med Res
July 2025
Department of Traditional Chinese Medicine, Shanghai General Hospital, Shanghai, 200080, China.
Background: Triple-negative breast cancer (TNBC) remains the deadliest subtype of breast cancer owing to high metastatic potential and poor prognosis. Herein, we examined the antitumor effects of ursolic acid (UA), a pentacyclic triterpene compound, against TNBC and the underlying mechanisms.
Methods: TNBC cells were exposed to a graded concentration of UA, and cell proliferation and migration were examined through CCK-8 and wound healing assays.
Sci Rep
July 2025
Digestive System Department, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Emerging evidence suggests a bidirectional relationship between colorectal cancer (CRC) and type 2 diabetes mellitus (T2DM), yet the shared molecular mechanisms and prognostic biomarkers remain poorly characterized. This study aimed to identify novel biomarkers linking CRC and T2DM pathogenesis and evaluate their clinical utility in predicting therapeutic responses and survival outcomes. By integrating multi-omics data from public repositories and applying machine learning-driven feature selection, we identified three core biomarkers-FABP4,CDR2L,and FSTL3 that independently predicted overall survival in CRC patients with diabetes.
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