Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

This study aims to explore the mechanism of Jiaotai Pills in treating depression based on metabolomics and network pharmacology. The chemical constituents of Jiaotai Pills were identified by UHPLC-Orbitrap Exploris 480, and the targets of Jiaotai Pills and depression were retrieved from online databases. STRING and Cytoscape 3.7.2 were used to construct the protein-protein interaction network of core targets of Jiaotai Pills in treating depression and the "compound-target-pathway" network. DAVID was used for Gene Ontology(GO) function and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analyses of the core targets. The mouse model of depression was established with chronic unpredictable mild stress(CUMS) and treated with different doses of Jiaotai Pills. The behavioral changes and pathological changes in the hippocampus were observed. UHPLC-Orbitrap Exploris 120 was used for metabolic profiling of the serum, from which the differential metabolites and related metabolic pathways were screened. A "metabolite-reaction-enzyme-gene" network was constructed for the integrated analysis of metabolomics and network pharmacology. A total of 34 chemical components of Jiaotai Pills were identified, and 143 core targets of Jiaotai Pills in treating depression were predicted, which were mainly involved in the arginine and proline, sphingolipid, and neurotrophin metabolism signaling pathways. The results of animal experiments showed that Jiaotai Pills alleviated the depression behaviors and pathological changes in the hippocampus of the mouse model of CUMS-induced depression. In addition, Jiaotai Pills reversed the levels of 32 metabolites involved in various pathways such as arginine and proline metabolism, sphingolipid metabolism, and porphyrin metabolism in the serum of model mice. The integrated analysis showed that arginine and proline metabolism, cysteine and methionine metabolism, and porphyrin metabolism might be the key pathways in the treatment of depression with Jiaotai Pills. In conclusion, metabolomics combined with network pharmacology clarifies the antidepressant mechanism of Jiaotai Pills, which may provide a basis for the clinical application of Jiaotai Pills in treating depression.
Animals ; Drugs, Chinese Herbal/chemistry* ; Depression/genetics* ; Mice ; Network Pharmacology ; Metabolomics ; Male ; Disease Models, Animal ; Humans ; Protein Interaction Maps/drug effects* ; Antidepressive Agents

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

[This corrects the article DOI: 10.1016/j.apsb.2018.08.009.].

Biliary tract cancer (BTC) is a rare group of malignancies that develop from the epithelial lining of the biliary tree and have a poor prognosis. Although chemotherapy is the standard of care for patients with advanced BTC in China, its clinical benefits are moderate. In recent years, the approval of targeted therapies and immunotherapies has provided new avenues for the management of advanced BTC. Nonetheless, the increasing number of personalized medicine approaches has created a challenge for clinicians choosing individualized treatment strategies based on tumor characteristics. In this article, we discuss recent progress in implementing precision medicine approaches for advanced BTC in China and examine genomic profiling studies in Chinese patients with advanced BTC. We also discuss the challenges and opportunities of using precision medicine approaches, as well as the importance of considering population-specific factors and tailoring treatment approaches to improve outcomes for patients with BTC. In addition to providing a comprehensive overview of current and emerging precision medicine approaches for the management of advanced BTC in China, this review article will support clinicians outside of China by serving as a reference regarding the role of patient- and population-specific factors in clinical decision-making for patients with this rare malignancy.
Humans ; Precision Medicine/methods* ; Biliary Tract Neoplasms/genetics* ; China ; Molecular Targeted Therapy ; Immunotherapy/methods*

Autophagy is mediated by multiple molecules and pathways. In cardiovascular diseases， autophagy can play a role through key signaling pathways such as phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， adenosine monophosphate-activated protein kinase （AMPK）/mTOR， mitogen-activated protein kinases （MAPK）， p53， Wnt/β-catenin， etc. Traditional Chinese medicine （TCM） monomers for promoting blood circulation and removing blood stasis such as hydroxysafflor yellow A， ginsenoside Rb1， salidroside， ligustrin， curcumin， etc.， and TCM prescription and preparations such as Huangqi baoxin decoction， Taohong siwu decoction， Tongxinluo capsule， Shuangshen ningxin capsule， Suxiao jiuxin pills， etc. can regulate autophagy through the above-mentioned key signaling pathways， thereby alleviating the progression of cardiovascular diseases.

Gastroesophageal reflux disease （GERD） is a prevalent chronic digestive disorder， affecting about 20% of the population. In addition to the typical symptoms of acid regurgitation and pyrosis， GERD can lead to chronic esophageal mucosal inflammation， thereby increasing the risk of esophageal carcinoma. Proton pump inhibitors （PPIs） have emerged as the primary pharmacological intervention due to their efficacy in reducing gastric acid production. However， the long-term use of PPIs is associated with various complications， including malabsorption of nutrients， heightened susceptibility to enteric infections， and an elevated risk of fractures. These concerns have driven the pursuit of safer and more efficacious therapeutic alternatives by both patients and healthcare providers. Recent studies have highlighted the role of persistent inflammation triggered by irritation of the esophageal epithelial cells in the pathogenesis of GERD. Such inflammation not only exacerbates mucosal damage but also contributes to the chronicity and complexity of the disease. Consequently， the development of novel anti-inflammatory therapeutic strategies has become a focus in contemporary research. Chinese herbal medicine prescriptions， with distinctive anti-inflammatory and antioxidant properties， offer a promising avenue for the management of GERD. These prescriptions， composed of a variety of herbal medicines， are prescribed in accordance with the traditional Chinese medicine （TCM） principle of harmonizing Qi， blood， and Yin-Yang， thereby addressing the underlying disease processes. Among the numerous Chinese herbal medicine prescriptions for GERD， ingredients such as Coptidis Rhizoma， Bupleuri Radix， Euodiae Fructus， Glycyrrhizae Radix et Rhizoma， and Atractylodis Macrocephalae Rhizoma are commonly utilized for their effects of inhibiting inflammation， modulating immune functions， and alleviating oxidative stress. Despite the potential in treating GERD， concrete evidence-based medical proof of these prescriptions remains limited. This review summarizes the anti-inflammatory mechanisms and prospects of Chinese herbal medicines in treating GERD， providing an outlook on the value of these medicines in the anti-inflammatory management of GERD.

In recent years, with the continuous development of in situ cryo-electron microscopy (cryo-EM) and artificial intelligence (AI) technologies, the research of structural biology has undergone a paradigm shift. Structural analysis is no longer confined to isolated and purified biomolecules, and determination of high-resolution in situ structures directly within cells and tissues becomes feasible. Furthermore, structural analysis of the molecular landscapes of subcellular regions can be performed to gain a deeper understanding of the molecular mechanisms of living activities in the native functional context. Through determining in situ structures of various protein complexes within the cell, it is feasible to visualize the proteome with spatial and quantitative information, which is often referred to as visual proteomics. Emerging in situ structural methods represented by cryo-electron tomography (cryo-ET) hold the promise to elucidate the three-dimensional interaction networks of the intracellular proteome and understand their activities in a systematic manner. To advance in situ cryo-EM/ET and visual proteomics in China, this review summarizes the new research paradigms and technological advances, showcases the superiority of new concepts and technologies with representative examples, and discusses the future prospects in the field.