In order to explore the possible role and molecular mechanism of the combined action of leech and bear bile in liver and gallbladder diseases, this study first used network pharmacology methods to screen the components and targets of leech and bear bile, as well as the related target genes of liver and gallbladder diseases. The selected key genes were subjected to interaction network and GO/KEGG enrichment analysis. Then, using sodium oleate induced HepG2 cell lipid deposition model and DL-ethionine induced mouse fatty liver model, the activity of leech and bear bile alone and in combination in reducing liver fat was evaluated in vitro and in vivo, and the expression of key pathway related proteins suggested by network pharmacology was detected by Western blot. The results of network pharmacology analysis showed that the active ingredients of leech and bear bile have 295 intersecting targets with liver and gallbladder related diseases, involving more than 200 signaling pathways, including the PI3K/Akt signaling pathway and phospholipase D signaling pathway closely related to glucose and lipid metabolism. The results of in vitro validation experiments showed that both leech and bear bile, alone and in combination, can significantly inhibit the lipid deposition induced by sodium oleate in human liver cells, reduce the triacylglycerol level in cell culture supernatant, and inhibit the lipid content in liver cells. The observation results of Nile red staining confocal microscopy showed that the combination of leech and bear bile had better activity in reducing lipid deposition in liver cells compared to using them alone. In a mouse fatty liver model, the combination of leech and bear bile can better reduce elevated organ indices, blood lipids, and liver lipid levels, as well as lower the levels of serum liver injury biomarkers. The animals used in this experiment and related disposal meet the requirements of animal welfare. Before the experiment, it was reviewed and approved by IACUC, Institute of Materia Medica, Chinese Academy of Medical Sciences. The Western blot experiment results showed that the combination of leech and bear bile can significantly upregulate the expression levels of p-PI3K and p-Akt proteins, and increase the p-PI3K/PI3K and p-Akt/Akt ratios, which is consistent with the predicted results of network pharmacology. The combination of leech and bear bile has great potential for treating fatty liver disease, and activating the PI3K/Akt pathway may be one of the important mechanisms for reducing lipid deposition in liver cells.

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

Background Kurtosis reflecting noise's temporal structure is an effective metric for evaluating noise-induced hearing loss (NIHL), and its threshold is still unclear. Objective To explore the energy range of kurtosis and the threshold of NIHL induced by kurtosis in this energy rangeMethods Using cross-sectional design, 4631 noise-exposed workers in manufacturing industry were selected. The hearing loss and noise exposure data of each worker were collected. Logistic regression model was used to establish the dose-response relationship between noise exposure and hearing loss and estimate the range of energy effects. Restricted cubic spline model was utilized to analyze the dose-response relationship curves of kurtosis to noise-induced hearing loss (NIHI) and high-frequency noise-induced hearing loss (HFNIHL) under different 8 h equivalent sound levels (L_{EX,8 h}), as well as to estimate the kurtosis effect threshold. Results The logistic regression model analysis showed that the prevalence of NIHI and HFNIHL increased significantly with increase of L_{EX,8 h} for steady noise; when L_{EX,8 h} of non-steady noise was 80-100 dB(A), the risk of hearing loss increased with an increase in kurtosis (P<0.05). The restricted cubic spline model showed that when L_{EX,8 h} of non-steady noise was 0-80 dB(A) or >100 dB(A), there was no significant relationship between kurtosis and NIHI or HFNIHL. When L_{EX,8 h} was 80-100 dB(A), there was a significant nonlinear dose-response relationship between kurtosis and NIHL or HFNIHL (P <0.001), and kurtosis > 28.08 exerted effect in elevating NIHI or HFNIHL. Conclusion The effect threshold of kurtosis on NIHL is 28.08 when non-steady noise levels are in the range of 80-100 dB(A). The effect threshold of kurtosis needs further verification.

Objective To systematically evaluate the radiation impact of radioactive sources used in online elemental analyzers in cement enterprises on the surrounding environment, and to provide a scientific basis for radiation monitoring and safety management at the application sites of this type of radioactive sources. Methods A statistical analysis was conducted on 15 cement enterprises in Guangxi Province using online elemental analyzers with ²⁵²Cf as the radioactive source. On-site investigation of radiation safety management and on-site monitoring of radiation environment were performed, followed by an evaluation based on the collected data. Results Although the gamma radiation ambient dose equivalent rate and neutron ambient dose equivalent rate increased around the sites using online elemental analyzers with ²⁵²Cf as the radioactive source, they all met the requirements of the Radiological Health Protection Requirements for Instruments with Sealed Sources (GBZ 125—2009). Conclusion Under the current usage and management conditions, the application of this type of radioactive sources has controllable radiation impact on the surrounding environment, and will not pose a threat to public health and environmental safety. However, continuous strengthening of radiation safety management measures and regular radiation monitoring work are still needed to ensure the safe use of radioactive sources, further reducing potential radiation risks and providing strong guarantees for the safe application of radioactive sources in online elemental analyzers in cement enterprises.

Objective To explore the medication rules of Professor Hua Baojin in the treatment of subsolid pulmonary nodules through retrospective analysis and data mining techniques. Methods The prescriptions of patients with subsolid pulmonary nodules who were diagnosed and treated by Professor Hua Baojin at Guang’anmen Hospital of the Chinese Academy of Chinese Medical Sciences from January 1, 2021 to December 31, 2024 were retrospectively collected. Data were imported into the Ancient and Modern Medical Case Cloud Platform for analysis of drug frequency, four natures and five flavors, meridian tropism, drug association, and hierarchical clustering. Results A total of 455 prescriptions were included, containing 205 kinds of traditional Chinese medicines, with a total frequency of 12048 times. Fifty-seven commonly used drugs were screened out, among which drugs with high frequencies included astragalus membranaceus (raw) and hawthorn fruit (charred). The nature of the drugs was mainly warm, cold, and neutral. The flavor of the drugs was mostly sweet, bitter, and pungent. The meridians they belonged to mainly included the lung, spleen, and liver meridians. Their efficacy was mainly tonifying deficiency, clearing heat, resolving phlegm, and relieving cough and asthma. Association analysis obtained 19 pairs of drug combinations, 21 groups of three-drug combinations, and four groups of four-drug combinations. Hierarchical clustering obtained 10 groups of drug combinations. Conclusion On the basis of the core pathogenesis of subsolid pulmonary nodule, Professor Hua applies the theory of regulating qi and detoxifying; regulating the qi of the liver, spleen, and lung; and detoxifying the toxins of phlegm and blood stasis, providing valuable experience for the clinical treatment of SSN.

OBJECTIVE To study the improvement effects of poria acid on insulin resistance in rats with polycystic ovary syndrome （PCOS） and its mechanism. METHODS One hundred and twenty-six female rats were randomly separated into blank group， PCOS group， poria acid low-dose group （8.33 mg/kg）， pachymic acid high-dose group （33.32 mg/kg）， ethinylestradiol cyproterone group （positive control group， 0.34 mg/kg）， recombinant rat high mobility group protein B1 protein （rHMGB1） group （8 μg/kg）， and poria acid high dose+rHMGB1 group （33.32 mg/kg poria acid+8 μg/kg rHMGB1）， with 18 rats in each group. Except for the blank group， the rats in all other groups were given Letrozole suspension intragastrically to construct the PCOS model. After successful modeling， administration was performed once a day for 4 weeks. After medication， the fasting blood glucose and fasting insulin levels， and insulin resistance index （HOMA-IR） were measured in rats； the levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH） and testosterone （T） in rat serum， and the levels of interleukin-1β （IL-1β） and tumor necrosis factor- α （TNF- α） in ovarian tissue were detected； ovarian coefficients of rats were calculated； the pathological changes of ovarian tissue were observed； the expressions of HMGB1， receptor for advanced glycosylation elaine_ tanghong@sina.com end product （RAGE） and phosphorylated nuclear factor κB p65 （p-NF-κB p65） proteins were determined in ovarian tissue of rats. RESULTS Compared with the blank group， the pathological injury of ovarian tissue of rats in the PCOS group was serious， the levels of fasting blood glucose and fasting insulin， HOMA-IR and ovarian coefficient were increased， the levels of serum LH and T were increased， while the levels of FSH were decreased； the levels of IL-1β and TNF-α， the expressions of HMGB1， RAGE and p-NF-κB p65 protein in ovarian tissue were increased， with statistical significance （P＜0.05）. Compared with the PCOS group， pathological damage of ovarian tissue was reduced in poria acid low-dose and high-dose groups and ethinylestradiol cyproterone group， and fasting blood glucose， fasting insulin levels， HOMA-IR and ovarian coefficient were decreased； serum LH and T levels were decreased， while FSH levels were increased； the levels of IL-1β and TNF-α and the expressions of HMGB1， RAGE and p-NF-κB p65 protein in ovarian tissue were decreased， with statistical significance （P＜0.05）. The trend of corresponding indexes in rHMGB1 group was opposite to the above （P＜0.05）. Compared with poria acid high-dose group， the changes of the above indexes were reversed significantly in poria acid high-dose+rHMGB1 group （P＜0.05）. CONCLUSIONS Poria acid may improve insulin resistance and inhibit inflammatory reaction in PCOS rats by inhibiting HMGB1/ RAGE pathway.

BACKGROUND: There are few multi-city studies on the association between temperature and mortality in basin climates. This study was based on the Sichuan Basin in southwest China to assess the association of basin temperature with non-accidental mortality in the population and with the temperature-related mortality burden. METHODS: Daily mortality data, meteorological and air pollution data were collected for four cities in the Sichuan Basin of southwest China. We used a two-stage time-series analysis to quantify the association between temperature and non-accidental mortality in each city, and a multivariate meta-analysis was performed to obtain the overall cumulative risk. The attributable fractions (AFs) were calculated to access the mortality burden attributable to non-optimal temperature. Additionally, we performed a stratified analyses by gender, age group, education level, and marital status. RESULTS: A total of 751,930 non-accidental deaths were collected in our study. Overall, 10.16% of non-accidental deaths could be attributed to non-optimal temperatures. A majority of temperature-related non-accidental deaths were caused by low temperature, accounting for 9.10% (95% eCI: 5.50%, 12.19%), and heat effects accounted for only 1.06% (95% eCI: 0.76%, 1.33%). The mortality burden attributable to non-optimal temperatures was higher among those under 65 years old, females, those with a low education level, and those with an alternative marriage status. CONCLUSIONS Our study suggested that a significant association between non-optimal temperature and non-accidental mortality. Those under 65 years old, females, and those with a low educational level or alternative marriage status had the highest attributable burden.
Female ; Humans ; China/epidemiology* ; Cities ; Cold Temperature ; Hot Temperature ; Mortality ; Temperature ; Time Factors ; Middle Aged ; Male

Medicinal plants are a valuable source of essential medicines and herbal products for healthcare and disease therapy. Compared with chemical synthesis and extraction, the biosynthesis of natural products is a very promising alternative for the successful conservation of medicinal plants, and its rapid development will greatly facilitate the conservation and sustainable utilization of medicinal plants. Here, we summarize the advances in strategies and methods concerning the biosynthesis and production of natural products of medicinal plants. The strategies and methods mainly include genetic engineering, plant cell culture engineering, metabolic engineering, and synthetic biology based on multiple "OMICS" technologies, with paradigms for the biosynthesis of terpenoids and alkaloids. We also highlight the biosynthetic approaches and discuss progress in the production of some valuable natural products, exemplifying compounds such as vindoline (alkaloid), artemisinin and paclitaxel (terpenoids), to illustrate the power of biotechnology in medicinal plants.

OBJECTIVE To analyze the prevalence of potentially inappropriate medication （PIM） in elderly patients with femoral neck fractures at admission and compare the concordance of 3 evaluation criteria. METHODS A retrospective study was conducted to review the data of elderly patients with femoral neck fractures admitted to the Department of Orthopedics in Northern Jiangsu People’s Hospital from July 2022 to June 2023. The PIMs were identified according to the Criteria of Potentially Inappropriate Medications for Older Adults in China：2017 edition （hereinafter referred to as Chinese criteria）， American Geriatrics Society 2023 Updated AGS Beers Criteria® for Potentially Inappropriate Medication in Older Adults （hereinafter referred to as 2023 Beers criteria）， third version criteria for screening tool of older people’s prescriptions for potentially inappropriate medication （hereinafter referred to as STOPP criteria version 3）. The concordance of the 3 evaluation criteria was compared by using Kappa statistics. RESULTS A total of 246 patients were included in this study； 49 patients （19.92%） with 77 PIMs were detected by the Chinese criteria， 64 patients （26.02%） with 118 PIMs were detected by the 2023 Beers criteria， and 41 patients （16.67%） with 67 PIMs were detected by the STOPP criteria version 3； 22 patients met all three criteria simultaneously. The concordance among the three criteria showed moderate agreement （0.417≤Kappa≤0.486） when compared in pairs. CONCLUSIONS There are certain differences in the PIM evaluated by the three criteria， but the prevalence of PIMs is below 30% according to the different H202134） criteria. Benzodiazepines， antipsychotics， antidepressants， and other drugs may increase the risk of patients falling again.

Hepatic steatosis can be observed in chronic liver diseases of different etiologies. The main predisposing factors for hepatic steatosis include chronic viral hepatitis， cholestatic liver disease， alcoholic liver disease， and nonalcoholic fatty liver disease. Simple fatty liver disease is the initial manifestation of hepatic steatosis， followed by steatohepatitis， liver fibrosis， liver cirrhosis， and even hepatocellular carcinoma. With the development of medical imaging technology， magnetic resonance imaging-proton density fat fraction （MRI-PDFF） has been widely used in the diagnosis of fatty liver disease （FLD） in clinical practice. MRI-PDFF is gradually becoming the gold standard for the noninvasive diagnosis of FLD due to its high accuracy and good repeatability. This article reviews the clinical application of MRI-PDFF in liver fat quantification and related research advances.