Lactate dehydrogenase A (LDHA) is highly expressed in many tumor cells and promotes the conversion of pyruvate to lactic acid in the glucose pathway, providing energy and synthetic precursors for rapid proliferation of tumor cells. Therefore, inhibition of LDHA has become a widely concerned tumor treatment strategy. However, the research and development of highly efficient and low toxic LDHA small molecule inhibitors still faces challenges. To discover potential inhibitors against LDHA, virtual screening based on molecular docking techniques was performed from Specs database of more than 260,000 compounds and Chemdiv-smart database of more than 1,000 compounds. Through molecular dynamics (MD) simulation studies, we identified 12 potential LDHA inhibitors, all of which can stably bind to human LDHA protein and form multiple interactions with its active central residues. In order to verify the inhibitory activities of these compounds, we established an enzyme activity assay system and measured their inhibitory effects on recombinant human LDHA. The results showed that Compound 6 could inhibit the catalytic effect of LDHA on pyruvate in a dose-dependent manner with an EC value of 14.54 ± 0.83 µM. Further in vitro experiments showed that Compound 6 could significantly inhibit the proliferation of various tumor cell lines such as pancreatic cancer cells and lung cancer cells, reduce intracellular lactic acid content and increase intracellular reactive oxygen species (ROS) level. In summary, through virtual screening and in vitro validation, we found that Compound 6 is a small molecule inhibitor for LDHA, providing a good lead compound for the research and development of LDHA related targeted anti-tumor drugs.
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http://dx.doi.org/10.1007/s10822-024-00568-y | DOI Listing |
Cancer Metab
January 2025
Department of Neurosurgery, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
Invasiveness of pituitary adenoma is the main cause of its poor prognosis, mechanism of which remains largely unknown. In this study, the differential proteins between invasive and non-invasive pituitary tumors (IPA and NIPA) were identified by TMT labeled quantitative proteomics. The differential metabolites in venous bloods from patients with IPA and NIPA were analyzed by untargeted metabolomics.
View Article and Find Full Text PDFPhytomedicine
January 2025
Department of Infectious Diseases, Hospital of Chengdu University of Traditional Chinese Medicine, No. 39 Shi-er-qiao Road, Chengdu 610072, Sichuan Province, PR China. Electronic address:
J Orthop Surg Res
January 2025
Department of Orthopaedics, Qilu Hospital of Shandong University, No.107, Wenhuaxi Road, Lixia District, Jinan, Shandong Province, 250012, China.
Background: Ferroptosis was involved in the pathogenesis of intervertebral disc degeneration (IVDD). However, the exact mechanism of IVDD associated with ferroptosis still required deeper studies.
Method: The differentially expressed genes (DEGs) in rat lumbar disc tissue between the control and IVDD group treated with IL-1β were detected by RNA sequencing (RNA-seq).
Commun Biol
January 2025
The First Department of Thoracic Surgery, Hunan Cancer Hospital and the affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, PR China.
Angiogenesis is a significant character of lung adenocarcinoma (LUAD) and is an important reason leading to high mortality rates of LUAD patients. However, the molecular mechanisms of lncRNAs regulating the angiogenesis in LUAD have not been fully elucidated. Here we show lncRNA chromatin-associated RNA 10 (CAR10) was upregulated in the tumor tissue of patients with LUAD and enhanced tumor metastasis.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Gynaecology and Obstetrics, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.
Preeclampsia (PE) is a common hypertensive disease in women with pregnancy. With the development of bioinformatics, WGCNA was used to explore specific biomarkers to provide therapy targets efficiently. All samples were obtained from gene expression omnibus (GEO), then we used a package named "WGCNA" to construct a scale-free co-expression network and modules related to PE.
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