The general models for intermediates quality analysis in the production process of Yaobitong capsule were established by near infrared spectroscopy (NIRS) combined with chemometrics, realizing the rapid determination of notoginsenoside R1, ginsenoside Rg1, ginsenoside Re, ginsenoside Rb1, ginsenoside Rd and moisture. The spray-dried fine powder and total mixed granule were selected as research objects. The contents of five saponins were determined by high performance liquid chromatography and the moisture content was determined by drying method. The measured contents were used as reference values. Meanwhile, NIR spectra were collected. After removing abnormal samples by Monte Carlo cross validation (MCCV), Monte Carlo uninformative variables elimination (MC-UVE) and competitive adaptive reweighted sampling (CARS) were used to select feature variables respectively. Based on the feature variables, quantitative models were established by partial least squares regression (PLSR), extreme learning machine (ELM) and ant lion optimization least squares support vector machine (ALO-LSSVM). The results showed that CARS-ALO-LSSVM model had the optimum effect. The correlation coefficients of the six index components were greater than 0.93, and the relative standard errors were controlled within 6%. ALO-LSSVM was more suitable for a large number of samples with rich information, and the prediction effect and stability of the model were significantly improved. The general models with good predicting effect can be used for the rapid quality determination of Yaobitong capsule intermediates.

Objective: To explore the association between mental health and muscle strength among Chinese adolescents aged 13- 18, providing a theoretical foundation and intervention strategies for mental health promotion. Methods: Data were obtained from the 2019 Chinese National Survey on Students Constitution and Health, including 98 631 Chinese adolescents aged 13- 18. Psychological distress was assessed by using the Kessler Psychological Distress Scale (K10), and mental well being was measured with the Warwick-Edinburgh Mental Well being Scale (WEMWBS). Based on the gender and age specific Z scores of various test items [grip strength, standing long jump, pull ups (for males), and sit ups (for females)], muscle strength index (MSI) was constructed to evaluate the comprehensive level of muscle strength in adolescents. According to the Dual factor Model (DFM) of mental health, participants were categorized into four groups:troubled, symptomatic but content, vulnerable, and complete mental health. Gender differences were analyzed by using Chi-square tests, trends were tested with Cochran-Armitage tests, and multinomial Logistic regression models were applied to assess associations between muscle strength and mental health among adolescents. Results: In 2019, 37.4% of Chinese adolescents aged 13-18 were reported of high mental distress, and 59.9% were reported of low mental well being. Boys had significantly lower rates of high mental distress (35.3%) and low mental well being (55.6%) compared to girls (39.4%, 64.3%), and the differences were of statistical significance ( χ 2=176.13, 780.42, both P <0.05). In 2019, the rate of complete mental health among adolescents showed a downward trend with increasing age ( χ 2 trend = 258.47) and a gradual upward trend with increasing muscle strength levels ( χ 2 trend =123.14)，and both boys and girls exhibited similar trends ( χ 2 trend =103.83, 168.46; 57.00 , 67.34) (all P <0.05). The results of the unordered multiclass Logistic regression model showed that after controlling for confounding factors such as age and gender, when the completely pathological group as a reference, for every 1 unit increase in MSI in adolescents, the likelihood of being in a completely mental health state increased by 29% ( OR = 1.29); for every unit increase in the Z-score for pull ups, the likelihood of being in a completely mental health state increased by 6% ( OR =1.06) among boys; for every 1 unit increase in sit up Z score, the likelihood of being in a completely mental health state increased by 19% ( OR =1.19) among girls (all P <0.05). Conclusions The mental health status of Chinese adolescents is not good enough. Muscle strength is positively associated with mental health.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Astrocytes are the largest glial population in the mammalian brain. However, we have a minimal understanding of astrocyte development, especially fate specification in different regions of the brain. Through lineage tracing of the progenitors of the third ventricle (3V) wall via in-utero electroporation in the embryonic mouse brain, we show the fate specification and migration pattern of astrocytes derived from radial glia along the 3V wall. Unexpectedly, radial glia located in different regions along the 3V wall of the diencephalon produce distinct cell types: radial glia in the upper region produce astrocytes and those in the lower region produce neurons in the diencephalon. With genetic fate mapping analysis, we reveal that the first population of astrocytes appears along the zona incerta in the diencephalon. Astrogenesis occurs at an early time point in the dorsal region relative to that in the ventral region of the developing diencephalon. With transcriptomic analysis of the region-specific 3V wall and lateral ventricle (LV) wall, we identified cohorts of differentially-expressed genes in the dorsal 3V wall compared to the ventral 3V wall and LV wall that may regulate astrogenesis in the dorsal diencephalon. Together, these results demonstrate that the generation of astrocytes shows a spatiotemporal pattern in the developing mouse diencephalon.
Mice ; Animals ; Astrocytes ; Neuroglia/physiology* ; Diencephalon ; Brain ; Neurons ; Mammals

Pyroptosis is the programmed death of cells accompanied by an inflammatory response and is widely involved in the development of a variety of diseases, such as infectious diseases, cardiovascular diseases, and neurodegeneration. It has been shown that cellular scorching is involved in the pathogenesis of pulmonary arterial hypertension ( PAH) in cardiovascular diseases. Patients with PAH have perivascular inflammatory infiltrates in lungs, pulmonary vasculopathy exists in an extremely inflam-matory microenvironment, and pro-inflammatory factors in cellular scorching drive pulmonary vascular remodelling in PAH patients. This article reviews the role of cellular scorch in the pathogenesis of PAH and the related research on drugs for the treatment of PAH, with the aim of providing new ideas for clinical treatment of PAH.

[摘 要] 目的：探究桃叶珊瑚苷（AU）调控RhoA/ROCK信号通路对胃癌MGC803细胞上皮间质转化（EMT）进程和血管生成拟态（VM）形成的影响。方法：常规培养人胃癌MGC803细胞，将其随机分为对照组、AU-L组（20 μmol/L AU）、AU-M组（40 μmol/L AU）、AU-H组（80 μmol/L AU）、AU-H+RhoA激活剂水仙环素（Nar）组（AU-H+Nar组，80 μmol/L AU+30 μmol/L Nar）。采用CCK-8法、Transwell实验、细胞划痕实验分别检测不同浓度AU对细胞增殖、迁移和侵袭的影响，三维细胞培养法观察不同浓度AU对细胞体外VM管腔结构形成的影响，WB法检测AU对各组细胞RhoA、ROCK、VM与EMT相关蛋白表达的影响。结果：与对照组相比，AU-M组、AU-H组MGC803细胞增殖率（48、72 h时）、细胞迁移率、细胞侵袭数目、VM管腔结构数，以及RhoA、ROCK1、N-cadherin、vimentin、VE-cadherin的蛋白表达均显著降低（均P<0.05），E-cadherin表达显著升高（P<0.05）；同时，使用Nar处理显著减弱了AU对MGC803细胞EMT和VM形成的抑制作用（均P<0.05）。结论：AU通过下调RhoA/ROCK信号通路抑制胃癌MGC803细胞的增殖、迁移、侵袭、EMT和VM形成过程。

Objective To investigate the effects of long non-coding RNA FEZ family zinc finger 1 antisense RNA 1(lncRNA FEZF1-AS1)on enhancer of zeste homolog 2(EZH2)in regulation of proliferation,migration,invasion and epithelial-mesenchymal transition(EMT)of pulmonary interstitial cells and its mechanism.Methods The A549 cells human lung adenocarcinoma cell line were divided into control group and model group[model cells were induced into lung interstitial cells after being treated with transforming growth factor β1(TGF-β1)20 ng/mL for 48 h].The protein expression of E-cadherin,N-cadherin and vimentin in each group was detected by Western blot.The expression of lncRNA FEZF1-AS1 and EZH2 in the two groups was detected by RT-qPCR.Cells in the trans-fection group were divided into si NC group,lncRNA FEZF1-AS1+OE vector group and si lncRNA FEZF1-AS1+OE EZH2 group.Cell proliferation was examined by CCK-8 method,cell migration was detected by cell scratch,and cell invasion was detected by Transwell assays.The protein expression of E-cadherin,N-cadherin,vimentin and EZH2 in each group was detected by Western blot.The direct binding effect of FEZF1-AS1 and EZH2 was deter-mined by RNA immuno-precipitation(RIP).Results Compared with the control group,the protein expression level of E-cadherin in the model group was significantly decreased(P＜0.05),and the protein expression of N-cadherin and vimentin was significantly increased(P＜0.05).Compared with the control group,the expression level of lncRNA FEZF1-AS1 and EZH2 genes was significantly increased in the model group(P＜0.05).Compared with si NC group,the proliferation,migration and invasion ability of si lncRNA FEZF1-AS1+OE vector group were decreased,the ex-pression of E-cadherin protein was increased while the expression of N-cadherin,vimentin and EZH2 was decreased(P＜0.05).Compared with si lncRNA FEZF1-AS1+OE vector group,the proliferation,invasion and migration of si lncRNA FEZF1-AS1+OE EZH2 group were increased(P＜0.05).E-cadherin expression was decreased,while N-cad-herin,vimentin and EZH2 expressions were increased(P＜0.05).RIP experiment further confirmed that lncRNA FEZF1-AS1 had direct binding effect with EZH2.Conclusions LncRNA FEZF1-AS1 can promote the proliferation,invasion,metastasis and EMT process of pulmonary fibrosis cells by regulating EZH2.