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A coordinated functional genomics program was implemented to identify secreted polypeptides with therapeutic applications in the treatment of diabetes. Secreted factors were predicted from a diverse expressed-sequence tags (EST) database, representing >1,000 cDNA libraries, using a combination of bioinformatic algorithms. Subsequently, approximately 8,000 human proteins were screened in high-throughput cell-based assays designed to monitor key physiological transitions known to be centrally involved in the physiology of type 2 diabetes. Bone morphogenetic protein-9 (BMP-9) gave a positive response in two independent assays: reducing phosphoenolpyruvate carboxykinase (PEPCK) expression in hepatocytes and activating Akt kinase in differentiated myotubes. Purified recombinant BMP-9 potently inhibited hepatic glucose production and activated expression of key enzymes of lipid metabolism. In freely fed diabetic mice, a single subcutaneous injection of BMP-9 reduced glycemia to near-normal levels, with maximal reduction observed 30 hours after treatment. BMP-9 represents the first hepatic factor shown to regulate blood glucose concentration. Using a combination of bioinformatic and high-throughput functional analyses, we have identified a factor that may be exploited for the treatment of diabetes.
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http://dx.doi.org/10.1038/nbt795 | DOI Listing |
Genet Med
September 2025
Institute for Clinical and Translational Science, University of California, Irvine, CA, USA.
Purpose: Advancements in sequencing technologies have significantly improved clinical genetic testing, yet the diagnostic yield remains around 30-40%. Emerging technologies are now being deployed to address the remaining diagnostic gap.
Methods: We tested whether short-read genome sequencing could increase the diagnostic yield in individuals enrolled into the UCI-GREGoR research study, who had suspected Mendelian conditions and prior inconclusive testing.
Front Pediatr
August 2025
Department of Neonatal Research, Inova Health Services, Falls Church, VA, United States.
Introduction: Neonatal sepsis is a dysregulated immune response to bloodstream infection causing serious disease and death. Our review seeks to integrate the knowledge gained from studies of multiple molecular methods- such as genomics, metabolomics, transcriptomics, and the gut microbiome- in the setting of neonatal sepsis that may improve the diagnosis, classification, and treatment of the disease. Sepsis claims over 200,000 lives annually worldwide and remains a top 10 cause of infant mortality in the US.
View Article and Find Full Text PDFRSC Adv
September 2025
Department of Medicinal Chemistry, Faculty of Pharmacy, Galala University P. O. 43713 New Galala Egypt
Isatin (1-indole-2,3-dione) is a privileged nitrogen-containing heterocyclic framework that has received considerable attention in anticancer drug discovery owing to its general biological behavior and structural diversity. This review focuses on isatin-heterocyclic hybrids as a valuable model in the development of new anti-cancer drugs that may reduce side effects and help overcome drug resistance, discussing their synthetic approaches and mechanism of action as apoptosis induction through kinase inhibition. With various chemical modifications, isatin had an excellent ability to build powerful isatin hybrids and conjugates targeting multiple oncogenic pathways.
View Article and Find Full Text PDFFront Microbiol
August 2025
Department of Immunology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
The genus is a heterogenous group of commensal and pathogenic bacteria. Members of this genus are classified into two major groups, the pyogenic group and the viridans group streptococci (VGS). VGS are frequently found as normal members of the human microbiome and are regarded as commensals.
View Article and Find Full Text PDFRSC Chem Biol
July 2025
Institute for Pharmaceutical Chemistry, Johann Wolfgang Goethe-University Max-von-Laue-Str. 9 D-60438 Frankfurt am Main Germany
Herein we present the rapid development of LH168, a potent and highly selective chemical probe for WDR5, streamlined by utilizing a DEL-ML (DNA encoded library-machine learning) hit as the chemical starting point. LH168 was comprehensively characterized in bioassays and demonstrated potent target engagement at the WIN-site pocket of WDR5, with an EC of approximately 10 nM, a long residence time, and exceptional proteome-wide selectivity for WDR5. In addition, we present the X-ray co-crystal structure and provide insights into the structure-activity relationships (SAR).
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