ObjectiveTo investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and to establish a predictive model. MethodsA total of 217 patients who were diagnosed with decompensated hepatitis C cirrhosis and were admitted to The Third People’s Hospital of Kunming l from January， 2019 to December， 2022 were enrolled， among whom 63 patients who were readmitted within at least 1 year and had no portal hypertension-related complications were enrolled as recompensation group， and 154 patients without recompensation were enrolled as control group. Related clinical data were collected， and univariate and multivariate analyses were performed for the factors that may affect the occurrence of recompensation. The independent-samples t test was used for comparison of normally distributed measurement data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed measurement data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and the receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model. ResultsAmong the 217 patients with decompensated hepatitis C cirrhosis， 63 （29.03%） had recompensation. There were significant differences between the recompensation group and the control group in HIV history （χ²=4.566， P=0.034）， history of partial splenic embolism （χ²=6.687， P=0.014）， Child-Pugh classification （χ²=11.978， P=0.003）， grade of ascites （χ²=14.229， P<0.001）， albumin （t=4.063， P<0.001）， prealbumin （Z=-3.077， P=0.002）， high-density lipoprotein （t=2.854， P=0.011）， high-sensitivity C-reactive protein （Z=-2.447， P=0.014）， prothrombin time （Z=-2.441， P=0.015）， carcinoembryonic antigen （Z=-2.113， P=0.035）， alpha-fetoprotein （AFP） （Z=-2.063， P=0.039）， CA125 （Z=-2.270， P=0.023）， TT3 （Z=-3.304， P<0.001）， TT4 （Z=-2.221， P=0.026）， CD45⁺ （Z=-2.278， P=0.023）， interleukin-5 （Z=-2.845， P=0.004）， tumor necrosis factor-α （Z=-2.176， P=0.030）， and portal vein width （Z=-5.283， P=0.005）. The multivariate analysis showed that history of partial splenic embolism （odds ratio ［OR］=3.064， P=0.049）， HIV history （OR=0.195， P=0.027）， a small amount of ascites （OR=3.390， P=0.017）， AFP （OR=1.003， P=0.004）， and portal vein width （OR=0.600， P<0.001） were independent influencing factors for the occurrence of recompensation in patients with decompensated hepatitis C cirrhosis. The ROC curve analysis showed that HIV history， grade of ascites， history of partial splenic embolism， AFP， portal vein width， and the combined predictive model of these indices had an area under the ROC curve of 0.556， 0.641， 0.560， 0.589， 0.745， and 0.817， respectively. ConclusionFor patients with decompensated hepatitis C cirrhosis， those with a history of partial splenic embolism， a small amount of ascites， and an increase in AFP level are more likely to experience recompensation， while those with a history of HIV and an increase in portal vein width are less likely to experience recompensation.

Prescription optimization is a crucial aspect in the study of traditional Chinese medicine （TCM） compounds. In recent years， the introduction of mathematical methods， data mining techniques， and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds. The study of TCM compounds involves numerous variables， including the proportions of different herbs， the specific extraction parts of each ingredient， and the interactions among multiple components. These factors together create a complex nonlinear dose-effect relationship. In this context， it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development. This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities. The key technical issues， such as the optimization of source material selection， dosage optimization of compatible herbs， and multi-objective optimization indicators， were discussed. Furthermore， the evaluation methods for component effects were summarized during the optimization process， so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.

Plant-derived extracellular vesicles (PDEVs), describe a group of nanoparticles released by plants. These particles are characterized by a lipid bilayer structure containing various proteins, lipids, nucleic acids, and unique metabolites. Although the study on PDEVs is relatively new, having only been around for ten years, they have shown promising development prospects in both basic research and clinical transformation areas. Evidence suggests that PDEVs have excellent application prospects in regulating inflammation and treating tumors. Their distinctive, vesicle-mimicking architecture and stellar biocompatibility render them prime candidates for ferrying various anti-cancer agents, including RNA, proteins, and conventional chemotherapy drugs. Increasingly, studies have shown that PDEVs can be engineered as an innovative platform for combination cancer immunotherapy. Consequently, this paper provides an extensive summary of current developments in engineering methods and strategies for PDEVs in cancer treatment and combined cancer immune therapeutics. The essential characteristics of PDEVs, including the biogenesis process and components, as well as their anti-tumor activity and mechanism, are summarized. Finally, the in vivo safety of PDEVs as delivery vectors and the challenges of scale-up production and clinical transformation are discussed.

OBJECTIVES: To investigate the effect of Ching Shum Pills (CSP) for alleviating non-alcoholic fatty liver disease (NAFLD) and the underlying mechanism. METHODS: In a mouse model of NAFLD, the therapeutic effect of CSP was evaluated by measuring serum glucose, lipid profiles (TC, TG, LDL-C, HDL-C), and hepatic function markers. Network pharmacology was employed to identify active compounds in CSP and their targets using TCMSP, HERB, SwissTargetPrediction, GeneCards, OMIM, and DisGeNET. Protein-protein interaction (PPI) networks, Gene Ontology (GO), and KEGG pathway analyses were conducted. Molecular docking (AutoDock Vina) was used to assess the compound-target binding affinities. Quantitative real-time PCR (qRT-PCR) was used to validate the mRNA expressions of the core genes in the liver tissue of the mouse models. RESULTS: In the mouse model of NAFLD, treatment with CSP significantly reduced body weight gain and serum TG levels of the mice, and high-dose CSP treatment resulted in obvious reduction of ALT levels and hepatic fat accumulation. Network pharmacology analysis identified quercetin and 2-monolinolenin as the key bioactives in CSP, which target TNF, AKT1, IL6, TP53, and ALB. Docking simulations suggested strong binding between the two core compounds and their target proteins. The results of qRT-PCR showed that high-fat diet induced significant downregulation of Tp53, Cpt1, and Ppara expressions in mice, which was effectively reversed by CSP treatment. CONCLUSIONS CSP can improve lipid metabolism disorders in NAFLD mice through a regulatory mechanism involving multiple targets and pathways to reduce liver fat accumulation and protect liver function. The key components in CSP such as quercetin and linolenic acid monoacylglycerol may participate in the regulation of such metabolic processes as fatty acid oxidation by targeting TP53.
Animals ; Non-alcoholic Fatty Liver Disease/drug therapy* ; Mice ; Drugs, Chinese Herbal/pharmacology* ; Lipid Metabolism/drug effects* ; Molecular Docking Simulation ; Disease Models, Animal ; Liver/metabolism* ; Male ; Lipid Metabolism Disorders/drug therapy* ; PPAR alpha/metabolism* ; Mice, Inbred C57BL ; Network Pharmacology

Hypoxic-ischemic (HI) brain damage poses a high risk of death or lifelong disability, yet effective treatments remain elusive. Here, we demonstrated that miR-100-5p levels in the lesioned cortex increased after HI insult in neonatal mice. Knockdown of miR-100-5p expression in the brain attenuated brain injury and promoted functional recovery, through inhibiting the cleaved-caspase-3 level, microglia activation, and the release of proinflammation cytokines following HI injury. Engineered extracellular vesicles (EVs) containing neuron-targeting rabies virus glycoprotein (RVG) and miR-100-5p antagonists (RVG-EVs-Antagomir) selectively targeted brain lesions and reduced miR-100-5p levels after intranasal delivery. Both pre- and post-HI administration showed therapeutic benefits. Mechanistically, we identified protein phosphatase 3 catalytic subunit alpha (Ppp3ca) as a novel candidate target gene of miR-100-5p, inhibiting c-Fos expression and neuronal apoptosis following HI insult. In conclusion, our non-invasive method using engineered EVs to deliver miR-100-5p antagomirs to the brain significantly improves functional recovery after HI injury by targeting Ppp3ca to suppress neuronal apoptosis.
Animals ; MicroRNAs/metabolism* ; Extracellular Vesicles/metabolism* ; Mice ; Recovery of Function/physiology* ; Hypoxia-Ischemia, Brain/therapy* ; Mice, Inbred C57BL ; Antagomirs/administration & dosage* ; Male ; Animals, Newborn ; Apoptosis/drug effects* ; Brain Injuries/metabolism* ; Glycoproteins ; Peptide Fragments ; Viral Proteins

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Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

Objective:To describe the current situation of blood glucose control in 18-64 year-old people with type 2 diabetes in the Shenzhen community and analyze the influencing factors to provide a reference for enhancing the management effect of type 2 diabetes in community health service institutions.Methods:The data were from the Shenzhen Community Health Service Information System. A cross-sectional survey design was adopted to include 18-64 year-old patients with type 2 diabetes in Shenzhen community health service institutions in 2022. The blood glucose control rate was calculated through the physical examination data recorded by the information system in 2022, and the influencing factors of blood glucose control in this group of patients were analyzed using a multivariate logistic regression model.Results:A total of 120 174 patients were included in the study. The blood glucose control rate was 53.04%. The results of multivariate logistic regression analysis showed that women ( OR=1.07, 95% CI: 1.04-1.10), ages 45-54 ( OR=1.10, 95% CI: 1.01-1.19), 55-64 ( OR=1.24, 95% CI: 1.14-1.35), middle school ( OR=1.09, 95% CI: 1.05-1.13), high school and technical secondary school ( OR=1.26, 95% CI: 1.21-1.31), junior college or above ( OR=1.75, 95% CI: 1.67-1.83), basic medical insurance for urban employees ( OR=1.05, 95% CI: 1.01-1.08), weekly exercise ( OR=1.26, 95% CI: 1.22-1.31), daily exercise ( OR=1.31, 95% CI: 1.28-1.35) and combined hypertension ( OR=1.21, 95% CI: 1.18-1.24) were more likely to reach the standard of blood glucose control; while unmarried ( OR=0.85, 95% CI: 0.77-0.95), divorced ( OR=0.84, 95% CI: 0.73-0.97), insurance status was fully self-funded ( OR=0.95, 95% CI: 0.91-0.99), disease duration was 5- years ( OR=0.65, 95% CI: 0.63-0.66), ≥10 years ( OR=0.41, 95% CI: 0.39-0.42), the treatment method was diabetes drug therapy ( OR=0.74, 95% CI: 0.71-0.76), low weight ( OR=0.89, 95% CI: 0.80-1.00), obese group ( OR=0.85, 95% CI: 0.82-0.88), combined with central obesity ( OR=0.83, 95% CI: 0.81-0.86), combined with dyslipidemia ( OR=0.69, 95% CI: 0.68-0.71), current smoking ( OR=0.74, 95% CI: 0.72-0.77), and current drinking ( OR=0.97, 95% CI: 0.93-1.00) were less likely to reach the standard of blood glucose control. Conclusions:The blood glucose control rate of 18-64 year-old people with type 2 diabetes in Shenzhen still has room for improvement. More attention should be paid to 18-64 year-old patients with type 2 diabetes, especially for patients with dyslipidemia, central obesity, and diabetes with a long course, and supervision and guidance should be strengthened for patients with bad habits such as smoking, drinking alcohol, and lack of exercise.

Objective:To analyze the disease burden in middle-aged and elderly population aged ≥55 in Shenzhen from 2016 to 2030 and provide evidence for the development of healthy aging strategies.Methods:The years of life lost (YLL), years lost due to disability (YLD), and the disability-adjusted life year (DALY) in this population from 2016 to 2022 were calculated. Joinpoint log-linear regression model was used to analyze the time trend. Bayesian age-period-cohort model and grey system model were used to predict YLL, YLD, and DALY in this population in 2030.Results:From 2016 to 2022, the crude DALY rate showed a transient fluctuation in age group 55-74 years, but a pronounced increase in age group ≥85 years. The proportions of YLL and YLD due to non-communicable diseases in all age groups was considerably higher than those due to communicable and nutritional diseases and injuries. In 2022, in all age groups, the YLL due to neoplasms (55-74 years old) and cardiovascular disease (≥75 years old) ranked first, and the YLD due to musculoskeletal disorder ranked first. By 2030, the causes of YLL and YLD ranking first in each age group would be remained, while the ranks of some causes would increase.Conclusions:The age specific characteristics of current and predicted disease burden differed in individuals aged ≥55 years. Therefore, it is necessary to allocate social and medical resources according to the disease burden pattern.

N6-methyladenosine(m6A)modification is one of the most abundant epitranscriptomic modifications in eukaryotic mRNA,with dynamic and reversible properties.This modification process is coordinated by methyltransferases,demethylases,and related m6A binding proteins,which in turn affect mRNA metabolism and function.Increasing evi-dence has indicated that the m6A RNA modification plays an important role in the occurrence and development of athero-sclerosis(As)and other related diseases.This paper provide a comprehensive review of the relationship between m6A RNA modification and As.The entire manuscript summarizes the m6A RNA modification mechanism and its roles in As-related cells including endothelial cells,macrophages,and smooth muscle cells,and discusses the association of m6A RNA modification with risk factors of As such as high-fat diet,ischemia/hypoxia,oscillatory stress,and hypertension.Finally,this review summarizes researches on drug intervention targeting m6A RNA methylation to mitigate As.These studies pro-vide important references for exploring new targets for early diagnosis and treatment of As.