Acute lung injury (ALI) has been a kind of acute and severe disease that is mainly characterized by systemic uncontrolled inflammatory response to the production of huge amounts of reactive oxygen species (ROS) in the lung tissue. Given the critical role of ROS in ALI, a Fe₃O₄ loaded bovine serum albumin (BSA) nanocluster (BF) was developed to act as a nanomedicine for the treatment of ALI. Combining with NIR irradiation, it exhibited excellent ROS scavenging capacity. Significantly, it also displayed the excellent antioxidant and anti-inflammatory functions for lipopolysaccharides (LPS) induced macrophages (RAW264.7), and Sprague Dawley rats via lowering intracellular ROS levels, reducing inflammatory factors expression levels, inducing macrophage M2 polarization, inhibiting NF-κB signaling pathway, increasing CD4⁺/CD8⁺ T cell ratios, as well as upregulating HSP70 and CD31 expression levels to reprogram redox homeostasis, reduce systemic inflammation, activate immunoregulation, and accelerate lung tissue repair, finally achieving the synergistic enhancement of ALI immunotherapy. It finally provides an effective therapeutic strategy of BF + NIR for the management of inflammation related diseases.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Cardiac troponin I (cTnI), a widely used biomarker for assessing cardiovascular risk, can provide a window for the evaluation of drug-induced myocardial injury. Label-free biosensors are promising candidates for detecting cell secretomes, since they do not require labor-intensive processes. In this work, a label-free electrochemical aptasensor is developed for in situ monitoring of cardiac cell secretomes in cell culture media based on target-induced strand displacement. The aptasensing system contains an aptamer-functionalized signal nanoprobe facing trimetallic metal-organic framework nanosheets and a gold nanoparticle-based detection working electrode modified with DNA nanotetrahedron-based complementary DNA for indirect target detection. The signal nanoprobes (termed CAHA) consisted of copper-based metal-organic frameworks, AuPt nanoparticles, horseradish peroxidase, and an aptamer. When the aptasensor is exposed to cardiac cell secretomes, cTnI competitively binds to the aptamer, resulting in the release of signal nanoprobes from the biorecognition interface and electrochemical signal changes. The aptasensor exhibited rapid response times, a low detection limit of 0.31 pg/mL, and a wide linear range of 0.001-100 ng/mL. We successfully used this aptasensor to measure cTnI concentrations among secreted cardiac markers during antitumor drug treatment. In general, aptasensors can be used to monitor a variety of cardiac biomarkers in the evaluation of cardiotoxicity.

Coptis chinensis Franch. and Panax ginseng C. A. Mey. are traditional herbal medicines with millennia of documented use and broad therapeutic applications, including anti-diabetic properties. However, the synergistic effect of total alkaloids from Coptis chinensis and total ginsenosides from Panax ginseng on type 2 diabetes mellitus (T2DM) and its underlying mechanism remain unclear. The research demonstrated that the optimal ratio of total alkaloids from Coptis chinensis and total ginsenosides from Panax ginseng was 4∶1, exhibiting maximal efficacy in improving insulin resistance and gluconeogenesis in primary mouse hepatocytes. This combination demonstrated significant synergistic effects in improving glucose tolerance, reducing fasting blood glucose (FBG), the weight ratio of epididymal white adipose tissue (eWAT), and the homeostasis model assessment of insulin resistance (HOMA-IR) in leptin receptor-deficient (db/db) mice. Subsequently, a T2DM liver-specific network was constructed based on RNA sequencing (RNA-seq) experiments and public databases by integrating transcriptional properties of disease-associated proteins and protein-protein interactions (PPIs). The network recovery index (NRI) score of the combined treatment group with a 4∶1 ratio exceeded that of groups treated with individual components. The research identified that activated adenosine 5'-monophosphate-activated protein kinase (AMPK)/acetyl-CoA carboxylase (ACC) signaling in the liver played a crucial role in the synergistic treatment of T2DM, as verified by western blot experiment in db/db mice. These findings demonstrate that the 4∶1 combination of total alkaloids from Coptis chinensis and total ginsenosides from Panax ginseng significantly improves insulin resistance and glucose and lipid metabolism disorders in db/db mice, surpassing the efficacy of individual treatments. The synergistic mechanism correlates with enhanced AMPK/ACC signaling pathway activity.
Animals ; Panax/chemistry* ; Ginsenosides/administration & dosage* ; Diabetes Mellitus, Type 2/metabolism* ; Mice ; Male ; Alkaloids/pharmacology* ; Coptis/chemistry* ; Drug Synergism ; Insulin Resistance ; Mice, Inbred C57BL ; Humans ; Transcriptome/drug effects* ; Blood Glucose/metabolism* ; Hypoglycemic Agents/administration & dosage* ; Drugs, Chinese Herbal/administration & dosage* ; Hepatocytes/metabolism*

Objective:To investigate whether intermittent fasting alleviates insulin resistance in a polycystic ovary syndrome(PCOS) mouse model through the regulation of autophagy.Methods:Fifty 3-week-old female C57BL/6J mice were randomly assigned into the following groups using a random number table: normal control(NC) group( n=10), maintained on a standard chow diet; high-fat diet(HFD) group( n=10) fed a diet with 60% of calories derived from fat; and PCOS model group( n=30), established by combining a HFD with dehydroepiandrosterone(DHEA) administration. Successful modeling was confirmed by disrupted estrous cycles, hyperandrogenism, and polycystic ovarian morphology. The PCOS model mice were further divided into three groups: PCOS group( n=9), PCOS with intermittent fasting group(PCOS+ IF, n=9), and PCOS with intermittent fasting plus the autophagy inhibitor 3-methyladenine(3-MA) group(PCOS+ IF+ 3-MA, n=9). Autophagy levels were assessed by detecting markers LC3 and p62 and observing autophagosomes via transmission electron microscopy. Glucose tolerance test(GTT) and insulin tolerance test(ITT) were performed, and the area under the curve(AUC) was calculated to evaluate insulin resistance. Western blotting was used to detect phosphorylation levels of phosphatidylinositol 3-kinase(PI3K), protein kinase B(Akt), mammalian target of rapamycin(mTOR), and p70S6 kiase(p70S6K). Results:Compared with the NC group, the PCOS model group showed absent estrous cycles, significantly elevated serum testosterone, sex hormone binding globulin, and luteinizing hormone(LH) levels( P<0.001), and polycystic ovarian changes on hematoxylin-eosin staining, confirming successful model establishment. Immunohistochemistry, transmission electron microscopy, and Western blotting demonstrated that autophagy levels were increased in the PCOS+ IF group compared with the PCOS group, while 3-MA administration reduced the intermittent fasting - induced autophagy. The AUC values for both GTT and ITT were significantly lower in the PCOS+ IF group than those in the PCOS group( P<0.001, P=0.003), but increased in the PCOS+ IF+ 3-MA group compared to the PCOS+ IF group( P<0.001, P=0.020). Western blotting analysis showed that phosphorylation levels of PI3K, Akt, mTOR, and p70S6K were significantly decreased in the PCOS+ IF group compared with the PCOS group( P=0.002, P=0.001, P=0.001, and P<0.001, respectively), and increased in the PCOS+ IF+ 3-MA group compared with the PCOS+ IF group( P=0.021, P=0.041, P=0.047, and P=0.024, respectively). Conclusions:Intermittent fasting alleviates insulin resistance in a PCOS mouse model through inhibitiing PI3K/Akt/mTOR signaling pathway and promoting autophagy.

Objective:To explore the influences of FibroScan detection on the pregnancy outcomes of pregnant rats transfected with hepatitis B virus and the growth of their offspring rats.Methods:Sixty SPF-grade SD rats with a male-to-female ratio of 5∶1 were selected，randomly divided the female rats into the groups of mid-pregnancy with hepatitis B，late-pregnancy with hepatitis B，normal mid-pregnancy，normal late-pregnancy，and control group，and the rats in the mid-pregnancy and late-pregnancy groups were subjected to FibroScan testing on the 10th and 15th days of gestation respectively. The number of offspring rats in each group was randomly reduced to 10 on the 3rd day after delivery，and the offspring rats were divided into the groups of mid-pregnancy with hepatitis B，late-pregnancy with hepatitis B，normal mid-pregnancy，normal late-pregnancy，and control group. The pregnancy outcome levels of pregnant rats were observed by adopting a stratified analysis strategy，including differences in weight changes，number of deliveries，fetal rat outcomes，lactation conditions，litter size，and litter weight. The growth levels of offspring rats，including differences in weight，body length，tail length，and the time of fur growth，tooth eruption，eye opening，and ear standing on the 21st day were observed，and the survival rate of the offspring rats was compared.Results:With regard to the pregnancy outcome levels of the pregnant rats，there were no statistically significant differences in weight changes during pregnancy among the five groups of pregnant rats［ F（4，45）=2.627，Adjusted P=0.222］. There were also no statistically significant differences in the number of deliveries，fetal rat outcomes，and lactation conditions（Adjusted P=1.000）. The number of deliveries［ F（4，21.095）=2.280，Adjusted P=0.222］and litter weight［ F（4，20.128）=2.159，Adjusted P=0.222］showed no statistically significant differences. After correction using the BH method，none of the indicators showed significant differences（ P>0.05）. In terms of the growth levels of the offspring rats，among the five groups of offspring rats，there were no statistically significant differences in body weight on the 21st day［H（4）=11.623，Adjusted P=0.135］，body length on the 21st day［H（4）=10.962，Adjusted P=0.135］，and tail length on the 21st day［H（4）=9.126，Adjusted P=0.058］. Besides，the differences in the time of fur growth，tooth eruption，eye opening，and ear standing［H（4）=0.000，Adjust P=1.000］showed no statistical significance. The survival rate on the 7th day，14th day，and 21st day was 100%，with no significant differences（Adjusted P=1.000）. After correction using the BH method，none of the indicators showed significant differences（ P>0.05）. Conclusion:FibroScan detection had no significant influences on the pregnancy outcomes of pregnant rats with hepatitis B or on the growth of their offspring rats in multiple stages，dimensions，and indicators，indicating that FibroScan detection is safe for pregnant rats. This research provides an animal experimental basis for the safe use of FibroScan in pregnant women with chronic HBV infection.

Objective:To investigate the changes in and correlations between melanin-concentrating hormone (MCH) and androgen levels in the serum of patients with polycystic ovary syndrome (PCOS), aiming to provide a novel research perspective for its diagnosis.Methods:A cross-sectional study. A total of 307 subjects were enrolled from the physical examination center and endocrinology clinic of the Affiliated Hospital of Zunyi Medical University from June 2023 to June 2024. The cohort comprised 114 healthy controls and 193 patients with PCOS, diagnosed according to the Rotterdam criteria. The patients were grouped into four phenotypes: Phenotype A (hyperandrogenemia [HA]+ovulatory dysfunction [OA]+polycystic ovarian morphology [PCOM], n=44), Phenotype B (HA+OA, n=50), Phenotype C (HA+PCOM, n=46), and Phenotype D (OA+PCOM, n=53). Clinical data were collected for all subjects. Serum MCH levels were determined by enzyme-linked immunosorbent assay. The relationship between MCH and androgen-related risk factors for PCOS was analyzed using Spearman partial correlation analysis and stepwise multiple linear hierarchical regression. Binary logistic regression was used to analyze factors influencing PCOS onset. The diagnostic value of MCH for PCOS was evaluated using a receiver operating characteristic (ROC) curve. Results:There were no significant differences in age and height between the healthy control group and the PCOS phenotypic groups (both P>0.05). MCH levels [17.63 (12.69, 22.00), 17.31 (11.05, 20.09), 17.82 (11.47, 19.40), 16.50 (11.14, 19.41) μg/L vs. 12.14 (9.78, 15.05) μg/L], homeostatic model assessment of insulin resistance, fasting plasma glucose, fasting serum lisulin, body mass index, and weight were significantly higher across all four PCOS phenotypes (A, B, C, and D) than in healthy controls (all P<0.05), whereas sex hormone-binding globulin (SHBG) contents were significantly lower ( P<0.05). Free androgen index (FAI), total testosterone (TES) and dehydroepiandrosterone (DHEA) levels were significantly higher in PCOS phenotypes A, B, and C than in the control group and PCOS phenotype D (all P<0.05). Spearman partial correlation analysis revealed no significant correlation between MCH and TES, DHEA, or FAI in healthy controls and patients with non-HA PCOS (all P>0.05). However, in PCOS patients with HA, MCH showed a significant positive correlation with TES and DHEA ( r=0.227 and 0.196, respectively; both P<0.05), but not FAI ( P>0.05). Stepwise multiple linear hierarchical regression analysis showed that MCH was positively correlated with TES, DHEA and luteinizing hormone and negatively correlated with SHBG (all P<0.05). Binary logistic regression indicated that an increase in MCH may be a potential risk factor for PCOS occurrence ( OR=1.113, 95% CI 1.012-1.224, P=0.028). ROC analysis showed that MCH has diagnostic value for PCOS ( P<0.05), with an area under the curve of 0.713. Conclusion:Serum MCH is closely related to FAI, TES, and DHEA levels in PCOS patients and may play an important role in the etiology and progression of the syndrome.

AIM To establish an HPLC-MS/MS method for the simultaneous content determination of dehydrodiisoeugenol,eugenol,costiolactone,dehydrocostiolactone,quercetin,isorhamnetin,luteolin,caffeic acid,gallic acid,protocatechuic acid,ellagic acid and kaempferol in Anshen Buxin Liuwei Pills,and to make chemical pattern recognition.METHODS The analysis was performed on a 35 ℃ thermostatic Shim-pack GST-HP C18 column(2.1 mm × 100 mm,3 μm),with the mobile phase comprising of methanol-water(containing 0.1％formic acid)flowing at 0.25 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning with multiple reaction monitoring mode.Subsequently,cluster analysis,principal component analysis and orthogonal partial least square-discriminant analysis were performed.RESULTS Twelve constituents showed good linear relationships within their own ranges(r≥0.999 0),whose average recoveries were 95.38％-105.00％with the RSDs of 1.91％-5.14％.Thirteen batches of samples were clustered into 3 types,ellagic acid,dehydrocodenolactone,dehydrodiisoeugenol,protocatechuic acid,gallic acid,quercetin and kaempferol were taken as potential quality differential markers.CONCLUSION This accurate,sensitive,stable and reproducible method can be used for the quality control and evaluation of Anshen Buxin Liuwei Pills.

Objective To discuss the correlation between free prostate specific antigen(fPSA),serum ferritin(SF),blood uric acid(SUA)levels and Gleason grading in patients with prostate cancer(PCa).Methods The clinical data of 61 patients with prostate biopsy treated in 411 Hospital of Shanghai University from January to December of 2023 were retrospectively analyzed.According to the results of puncture,the patients were divided into benign prostatic hyperpla-sia(BPH)group(31 cases)and PCa group(30 cases).The levels of fPSA,SF and SUA in patients and Gleason grade in biopsy cases were analyzed.The correlation between fPSA,SF and SUA levels and Gleason grade was analyzed by the method of Spearman.And the diagnostic efficacy of fPSA,SF and SUA levels on PCa was analyzed by receiver operating characteristic curve(ROC).Results The levels of fPSA,SF and SUA in PCa group were significantly higher than those in BPH group(P＜0.05).There were statistically significant differences in levels of fPSA SF and SUA in PCA patients with different Gleason grades(P＜0.05).With the specificity reaching 96.08％and sensitivity reaching 94.35％,the ar-ea under the curve(AUC)of the combined fPSA,SF and SUA levels in the diagnosis of PCa was 0.982,which was higher than that of the single fPSA,SF and SUA levels(P＜0.05).SF and SUA levels in PCa patients were positively correlated with Gleason grade(P＜0.05),while fPSA levels were not correlated with Gleason grade(P＞0.05).Conclusion The levels of SF and SUA in PCa patients are positively correlated with Gleason grade,which can be used as an important index to predict Gleason grade in PCa patients.