Bupi Yishen formula may prevent kidney fibrosis by modulating fatty acid metabolism in renal tubules.

Background: Bupi Yishen formula (BYF), a traditional Chinese herbal mixture, has demonstrated better effectiveness than Losartan in preserving renal function and preventing composite severe adverse outcomes in patients with advanced chronic kidney disease (CKD) in a recent randomized controlled trial. Prior studies have shown that BYF exerts anti-inflammatory and anti-fibrotic effects in the kidneys of CKD models, but the underlying mechanisms have not been fully elucidated.

Purpose: The aim of this study was to investigate the protective effects of BYF administration on profibrotic phenotypic changes in the kidney and to elucidate its fundamental mechanisms of action.

Protective effects of the Bupi Yishen formula on renal fibrosis through PI3K/AKT signaling inhibition.

Ethnopharmacological Relevance: The Bupi Yishen Formula (BYF) is a patented Chinese herbal compound that has been long used to treat chronic kidney disease (CKD) in the clinic. However, its main active ingredients and underlying mechanisms remain to be elucidated.

Aim: Identify the major active ingredients of BYF and investigate its protective effects and specific molecular mechanisms in renal fibrosis.

Uncovering Bupi Yishen Formula Pharmacological Mechanisms Against Chronic Kidney Disease by Network Pharmacology and Experimental Validation.

Chronic kidney disease (CKD) is a leading public health problem with high morbidity and mortality, but the therapies remain limited. Bupi Yishen Formula (BYF) - a patent traditional Chinese medicine (TCM) formula - has been proved to be effective for CKD treatment in a high-quality clinical trial. However, BYF's underlying mechanism is unclear.

Efficient prediction for high precision CO-N potential energy surface by stacking ensemble DNN.

High-dimensional potential energy surface (PES) for van der Waals systems with spectroscopic accuracy, is of great importance for quantum dynamics and an extremely challenge job. CO-N is a typical van der Waals system and its high-precision PES may help elucidate weak interaction mechanisms. Taking CO-N potential energies calculated by CCSD(T)-F12b/aug-cc-pVQZ as the benchmark, we establish an accurate, robust, and efficient machine learning model by using only four molecular structure descriptors based on 7966 benchmark potential energies.