Poria cocos (PC) is an important fungus with high medicinal and nutritional values. However, the quality of PC is heavily dependent on multiple factors in the cultivation regions. Traditional methods are not able to perform quality evaluation for this fungus in a short time, and a new method is needed for rapid quality assessment. Here, we used near-infrared (NIR) spectroscopy combined with chemometric method to identify the cultivation regions and determine PC chemical compositions. In our study, 138 batches of samples were collected and their cultivation regions were distinguished by combining NIR spectroscopy and random forest method (RFM) with an accuracy as high as 92.59%. In the meantime, we used partial least square regression (PLSR) to build quantitative models and measure the content of water-soluble extract (WSE), ethanol-soluble extract (ASE), polysaccharides (PSC) and the sum of five triterpenoids (SFT). The performance of these models were verified with correlation coefficients (R²_cal and R²_pre) above 0.9 for the four quality parameters and the relative errors (RE) of PSC, WSE, ASE and SFT at 4.055%, 3.821%, 4.344% and 3.744%, respectively. Overall, a new approach was developed and validated which is able to distinguish PC production regions, quantify its chemical contents, and effectively evaluate PC quality.

Ischemia-reperfusion (I/R) injury is one of the most common phenomena in ischemic disease or processes that causes progressive disability or even death. It has a major impact on global public health. Traditional Chinese medicine (TCM) has a long history of application in ischemic diseases and has significant clinical effect. Numerous studies have shown that the formulas or single herbs in TCM have specific roles in regulating oxidative stress, anti-inflammatory, inhibiting cell apoptosis, etc., in I/R injury. We used bibliometrics to quantitatively analyze the global output of publications on TCM in the field of I/R injury published in the period 2001–2021 to identify research hotspots and prospects. We included 446 related documents published in the Web of Science during 2001–2021. Visualization analysis revealed that the number of publications related to TCM in the field of I/R injury has increased year by year, reaching a peak in 2020. China is the country with the largest number of publications. Keywords and literature analyses demonstrated that neuroregeneration is likely one of the research hotspots and future directions of research in the field. Taken together, our findings suggest that although the inherent limitations of bibliometrics may affect the accuracy of the literature-based prediction of research hotspots, the results obtained from the included publications can provide a reference for the study of TCM in the field of I/R injury.

Huxie Huaji (HXHJ) Ointment is a famous traditional Chinese medicinal prescription and is commonly used for the clinical treatment of hepatocellular carcinoma by boosting immunity and detoxification. However, the scientific evidence for the effect of HXHJ Ointment on hepatocellular carcinoma and the underlying molecular mechanism are lacking. The present study aimed to identify the effects of HXHJ Ointment on hepatocellular carcinoma in vitro and in vivo as well as investigating the mechanistic basis for the anticancer effect of HXHJ ointment. First, liquid chromatography-mass spectrometry was used to verify the composition of HXHJ Ointment and quality control. Second, in vitro, Cell Counting Kit (CCK8) cell viability assay and Hoechst 33342 staining assay were performed to explain the cell apoptosis. The protein levels of tumor suppressor protein (p53), B-cell lymphoma 2 gene (Bcl-2), cytochrome C (Cyt-C), and aspartate proteolytic enzyme-3 (caspase-3) were examined by immunofluorescence. Finally, in vivo, hematoxylin and eosin (H&E) staining was used to observe the pathological changes in hepatocellular carcinoma samples. Western blots and immunohistochemistry were used to detect the anticancer properties of HXHJ ointment. The results in vitro showed that 20 HXHJ Ointment serum could significantly inhibit HepG2 cell proliferation, increased tumor suppressor gene p53, downregulated antiapoptotic protein Bcl-2, promoted the release of mitochondrial Cyt-C, activated caspase-3, and induced HepG2 cell apoptosis. Furthermore, in vivo experiments showed that HXHJ Ointment could effectively inhibit tumor growth in nude mice xenotransplanted with HepG2 cells, changed the morphology of tumor cells, and regulated the expression of apoptosis-related protein pathway p53/Bcl-2/Cyt-C/caspase-3. HXHJ Ointment can significantly inhibit the development of hepatocellular carcinoma, and its mechanism may be related to the regulation of p53/Bcl-2/Cyt-C/caspase-3 signaling pathway to induce cell mitochondrial apoptosis.

Chronic kidney disease (CKD) lacks highly specific early diagnostic biomarkers and safe, effective therapeutic options. To address this, we integrated multi-cohort transcriptomics, bioinformatics, and machine learning with reverse network pharmacology, molecular docking, molecular dynamics simulations, and in vivo experiments to identify candidate biomarkers associated with CKD and candidate therapeutic compounds for CKD. Our analyses of the GSE175759 training set and external validation datasets (GSE37171 and GSE66494) using differential expression and WGCNA indicated that CKD is characterized by immune-inflammatory activation and suppressed energy metabolism. Integration of PPI analysis with three machine learning algorithms identified JUN and C3 as candidate diagnostic genes. JUN was downregulated, whereas C3 was upregulated in CKD, both showing promising discriminatory performance in the analyzed datasets. Reverse screening identified Resveratrol and Triptolide as candidate active compounds, and molecular docking together with 100 ns molecular dynamics simulations supported stable binding to JUN/C3 complexes. Given its superior safety profile, Resveratrol was selected for experimental validation. In an adenine-induced CKD rat model, Resveratrol improved renal function, reduced proteinuria, alleviated renal injury and fibrosis, and was associated with reduced activation of MAPK/JNK-c-Jun signaling. In conclusion, this study identifies JUN and C3 as candidate biomarkers associated with CKD and suggests Resveratrol as a promising preclinical intervention candidate targeting the MAPK/JNK-c-Jun axis, providing preliminary computational and preclinical evidence for biomarker discovery and natural medicine-based intervention in CKD.