云南中医药大学

The nine-steaming and nine drying process is the traditional preparation method for Polygonatum sibiricum, involving repeated steaming and drying nine times to optimize its dual medicinal and edible value, making it the preferred technique. Though costly, unscrupulous merchants cut corners by reducing production steps to lower costs, yet the differences are nearly undetectable to the naked eye. Therefore, it is urgently necessary to establish a rapid and accurate identification method. This study employed a combination of Fourier transform near-infrared (FT-NIR) spectroscopy and attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy with deep learning to identify nine processed samples of nine steaming and nine drying of Polygonatum kingianum. The results demonstrated that the residual neural network (ResNet) model based on synchronous two-dimensional correlation spectroscopy (2DCOS) images exhibited stable performance and high accuracy. Both the test set and training set achieved an accurate rate of 100%. Subsequently, to explore the critical factors in different treated samples, we employed principal component analysis (PCA) to interpret the spectral variables and identified that the key variables were related to carbohydrates. Therefore, we analyzed the sugar metabolites of nine treatments using gas chromatography-mass spectrometry (GC-MS) and identified D-Xylulose, D-Ribose, D-Arabinose, and L-Rhamnose as the key metabolites distinguishing the ninth steaming of Polygonatum kingianum. Ultimately, the rapid identification of Polygonatum kingianum processed by the traditional "nine steaming and nine drying" method based on FTIR and deep learning was achieved, and its identification features were analyzed using metabolomics.

Mitochondrial complex I (NADH:ubiquinone oxidoreductase) is a critical hub for bioenergetics and redox signaling. Beyond its canonical role in oxidative phosphorylation and ATP synthesis, complex I regulates the intracellular NADH/NAD+ balance and reactive oxygen species (ROS) production, both of which are vital for tumor survival. Consequently, targeting complex I has emerged as a promising therapeutic strategy. Increasing evidence shows that diverse natural products—ranging from alkaloids to annonaceous acetogenins—exert potent antitumor effects by inhibiting complex I. These compounds disrupt mitochondrial function, inducing metabolic stress and cancer cell death. However, a systematic overview linking their chemical structures to specific binding modes and antitumor mechanisms is currently lacking. In this review, we summarize recent advances in natural products targeting mitochondrial complex I. We categorize these agents based on their structural characteristics and discuss their distinct mechanisms, such as acting as “deep tunnel blockers” versus “shallow pocket binders.” This work aims to provide a theoretical foundation for the rational development of novel complex I-targeted antitumor drugs.

BACKGROUND:With the global population growing and aging, the incidence of stroke shows a significant upward trend, imposing a heavy economic burden on public health systems and stroke survivors' families. Financial toxicity, as a key indicator that comprehensively quantifies objective financial expenditures and subjective psychological stress, is increasingly receiving attention from the academic community. Considering its close correlation with treatment adherence and quality of life in stroke survivors, early identification of financial toxicity is crucial for improving the long-term prognosis of stroke survivors. AIM:This review provides an overview, current research status, influencing factors, and countermeasures for the financial burden of stroke, aiming to provide a reference for future interventions to reduce this burden. METHODS:This study was performed in accordance with the PRISMA‑ScR guidelines. CNKI, Wanfang, VIP, CBM, PubMed, and Web of Science were searched using a combination of subject terms and free words to identify studies on the financial toxicity of stroke. Published literature was included, while studies without detailed data or only abstracts were excluded. Articles were screened by titles and abstracts, followed by full-text review. Basic characteristics, study design, and key outcomes were extracted, and the included studies were summarized and analyzed. CONCLUSION:The incidence of financial toxicity from stroke is high and often underestimated among stroke survivors. To effectively address this issue, comprehensive intervention measures are required to reduce the financial burden of stroke.

The number of autistic patients globally has been increasing year by year, imposing a severe burden on society and families. It is urgent to find effective treatment methods. Acupuncture treatment for autism is safe and effective, yet there has been no systematic review to clarify the curative effect and the rules of acupoint selection. Computer searches were conducted in PubMed, Web of Science, Cochrane library, CNKI, Wan fang Database, and VIP Database for all RCTs from the establishment of the databases to January 1, 2025. The EndNote X9 software was used for literature screening. A total of 19 literatures were finally included. The results of the curative effect evaluation showed that acupuncture therapy had an improving effect on the social communication disorder, repetitive and stereotyped behaviors, and restricted interests in ASD (ABC scale, CARS scale). Acupuncture therapy could change the content of serum factors (increase the contents of folic acid, GSH, GSH/GSSG, and t-PA, and reduce the contents of Hcy, GSSG, PAI-1, 5-HT, and Glu/GABA), excite brain waves, so as to promote the repair of nerve function and improve the core symptoms of autistic patients. In terms of acupoint selection, the acupoints on the head and those of the Governor Vessel were mainly selected, mainly including DU24, EX-HN1, GB13, DU17, GB19, DU20, and She San Zhen. Acupuncture therapy has an overall curative effect on ASD, and there are regularities in acupoint selection. However, its mechanism and long-term effects need to be verified by more high-quality studies.

Depression is a major global health concern, characterized by profound mental and physical debilitation that severely impairs quality of life. The World Health Organization projects that it will become the second-leading cause of global disease burden by 2030, underscoring the urgent need for effective therapeutic strategies. However, the pathogenesis of depression remains incompletely elucidated, and first-line pharmacological treatments, such as selective serotonin reuptake inhibitors (SSRIs), are frequently limited by delayed clinical onset, suboptimal response rates, and notable adverse effects. In contrast, traditional Chinese medicine (TCM), with its holistic philosophy and potential for multi-target modulation, offers a promising complementary approach. This review systematically synthesizes contemporary research on TCM for depression, covering botanical drug formulas, single medicinal botanical drugs, and their purified bioactive metabolites. We critically evaluate the proposed mechanisms—spanning monoaminergic regulation, modulation of neurotrophic factors, anti-inflammatory activity, and interactions between the microbiota-gut-brain axis—and discuss the associated translational challenges and future research directions.