ObjectiveBased on ultra performance liquid chromatography-quadrupole-electrostatic field orbital trap high-resolution mass spectrometry（UPLC-Q-Orbitrap-MS）， to identify the in vivo and in vitro chemical components of total phenolic acids in Gei Herba（TPAGH）， and to clarify the pharmacological effects and potential mechanisms of the effective part in promoting acute wound healing and inhibiting scar formation. MethodsUPLC-Q-Orbitrap-MS was used to identify the chemical components of TPAGH and ingredients absorbed in vivo after topical administration. A total of 120 ICR mice were randomly divided into the model group， recombinant human epidermal growth factor（rhEGF） group（4 mg·kg^-1）， and low， medium， and high dose groups of TPAGH（3.5， 7， 14 mg·kg^-1）， with 24 mice in each group. A full-thickness skin excision model was constructed， and each administration group was coated with the drug at the wound site， and the model group was treated with an equal volume of normal saline， the treatment was continued for 30 days， during which 8 mice from each group were sacrificed on days 6， 12， and 30. The healing of the wounds in the mice was observed， and histopathological changes in the skin tissues were dynamically observed by hematoxylin-eosin（HE）， Masson， and Sirius red staining， and enzyme-linked immunosorbent assay（ELISA） was used to dynamically measure the contents of interleukin-6（IL-6）， tumor necrosis factor-α（TNF-α）， vascular endothelial growth factor A（VEGFA）， matrix metalloproteinase（MMP）-3 and MMP-9 in skin tissues. Network pharmacology was used to predict the targets related to the promotion of acute wound healing and the inhibition of scar formation by TPAGH， and molecular docking of key components and targets was performed. Gene Ontology（GO） biological process analysis and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis were carried out for the related targets， so as to construct a network diagram of herbal material-compound-target-pathway-pharmacological effect-disease for further exploring its potential mechanisms. ResultsA total of 146 compounds were identified in TPAGH， including 28 phenylpropanoids， 31 tannins， 23 triterpenes， 49 flavonoids， and 15 others， and 16 prototype components were found in the serum of mice. Pharmacodynamic results showed that， compared with the model group， the TPAGH groups showed a significant increase in relative wound healing rate and relative scar inhibition rate（P<0.05）， and the number of new capillaries， number of fibroblasts， number of new skin appendages， epidermal regeneration rate， collagen deposition ratio， and Ⅲ/Ⅰ collagen ratio in the tissue were significantly improved（P<0.05， 0.01）， the levels of IL-6， TNF-α， MMP-3 and MMP-9 in the skin tissues were reduced to different degrees， while the level of VEGFA was increased. Network pharmacology analysis screened 10 core targets， including tumor protein 53（TP53）， sarcoma receptor coactivator（SRC）， protein kinase B（Akt）1， signal transducer and activator of transcription 3（STAT3）， epidermal growth factor receptor（EGFR） and so on， participating in 75 signaling pathways such as advanced glycation end-products（AGE）-receptor for AGE（AGE/RAGE） signaling pathway， phosphatidylinositol 3-kinase（PI3K）/Akt signaling pathway， mitogen-activated protein kinase（MAPK） signaling pathway. Molecular docking confirmed that the key components genistein， geraniin， and casuariin had good binding ability to TP53， SRC， Akt1， STAT3 and EGFR. ConclusionThis study comprehensively reflects the chemical composition of TPAGH and the absorbed components after topical administration through UPLC-Q-Orbitrap-MS. TPAGH significantly regulates key indicators of skin healing and tissue reconstruction， thereby clarifying its role in promoting acute wound healing and inhibiting scar formation. By combining in vitro and in vivo component identification with network pharmacology， the study explores how key components may bind to targets such as TP53， Akt1 and EGFR， exerting therapeutic effects through related pathways such as immune inflammation and vascular regeneration.

ObjectiveTo investigate the association between variant degree of sarcopenia and all-cause mortality in Chinese elderly residents, and to provide insights into the prevention and control of sarcopenia in the elderly population. MethodsData from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 and 2020 were analyzed, and a total of 2 792 subjects aged 65 years or older were selected according to the inclusion and exclusion criteria. Univariate and multivariate Cox proportional hazards regression analysis were performed to explore the potential factors influencing all-cause mortality among the elderly in China, and Kaplan-Meier curves were used to visualize the survival of elderly people with variant degree of sarcopenia. Finally, a multiple-adjusted Cox proportional hazards regression model was used to control the confounding factors and explore the association between sarcopenia and all-cause mortality. ResultsBefore adjusting potential covariates, univariate and multivariate Cox proportional hazards regression models showed that 10-year all-cause mortality was significantly associated with variant degree of sarcopenia, namely possible sarcopenia (HR=1.40, 95%CI: 1.1‒1.68, P<0.001), mild-to-moderate sarcopenia (HR=1.49, 95%CI:1.20‒1.86, P<0.001), and severe sarcopenia (HR=1.68, 95%CI: 1.29‒2.19, P<0.001); after adjusting all confounders, 10-year all-cause mortality remained to be significantly associated with variant degree of sarcopenia, including probable sarcopenia (HR=1.38, 95%CI: 1.15‒1.66, P<0.001), mild-to-moderate sarcopenia (HR=1.48, 95%CI: 1.19‒1.84, P<0.001) and severe sarcopenia (HR=1.71, 95%CI: 1.31‒2.23, P<0.001). ConclusionIn Chinese elderly residents, sarcopenia is positively associated with an increased risk of 10-year all-cause mortality, and the progression of sarcopenia is positively associated with an increased risk of death.

BackgroundDementia seriously affects the quality of life and lifespan of elderly people， with Alzheimer's disease （AD） being the most common type of dementia. Previous studies have suggested that gout may reduce the risk of developing AD， but the causal relationship between the two still requires further research. ObjectiveTo investigate the potential causal relationship between gout and AD through a two-sample Mendelian randomization （MR） analysis， so as to provide references for the prevention and treatment of AD. MethodsData from Genome-Wide Association Studies （GWAS） extracted in 2024 were analyzed， using pooled data on gout （6 810 cases in the case group and 477 788 cases in the control group） published by UK Biobank in 2021 as the exposure variable， and data on AD （3 899 cases in the case group and 214 893 cases in the control group） published by FinnGen in the same year as the outcome variable. The inverse-variance weighted， MR-Egger regression， weighted median estimation， simple model and weighted model were used to analyze the potential causal relationship between gout and AD. Pleiotropic effects were assessed using MR-Egger regression. Heterogeneity assessment was conducted using Cochran's Q test. The leave-one-out analysis was carried out for sensitivity analysis. And a funnel plot was drawn to detect potential publication bias. ResultsThe inverse-variance weighted analysis demonstrated a negative causal relationship between gout and AD （OR=0.004， 95% CI： 0~0.700， P<0.05）. The plot resembled a symmetrical inversed funnel， indicating the absence of publication bias. No heterogeneity was detected by Cochran's Q test. The MR-Egger regression indicated no significant horizontal pleiotropy. Concerning the reverse directions， no significant associations between AD and gout were noted. ConclusionThere is a negative causal relationship between gout and AD， with gout potentially reducing the risk of developing AD. ［Funded by The Third Batch of Social Welfare and Basic Research Projects （Medical and Health） of Zhongshan City in 2022 （number， 2022B3017）］

ObjectiveTo explore the sequential effects of hypoxic exercising on miR-27/PPARγ and lipid metabolism target gene and protein expression levels in the obesity rats’ liver. Methods13-week-old male diet-induced obesity rats were randomly divided into three groups (n＝10): normal oxygen concentration quiet group (N), hypoxia quiet group (H), hypoxic exercise group (HE). Exercise training on the horizontal animal treadmill for 1 h/d, 5 d/week for a total of 4 week, and the intensity of horizontal treadmill training was 20 m/min (hypoxic concentration was 13.6%). Comparison of the weights of perirenal fat and epididymal fat in rats across different groups and calculation of Lee’s index based on body weight and body length of rats in each group were done. And the serum concentrations of total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) levels were detected. RT-PCR and Western Blot were used to detect the levels of miR-27, PPARγ, CYP7A1 and CD36. ResultsHypoxic exercise decreased the expression levels of miR-27 in the obese rats’ liver, however, the expression level of PPARγ was gradually increased. The expression levels of miR-27 in HE group were significantly lower than N group (P<0.05). The expression levels of PPARγ mRNA in N group were significantly lower than H group (P<0.05), especially lower than HE group (P<0.01). The protein expression of PPARγ protein in N group was significantly lower than that other groups (P<0.01). The expression of lipid metabolism-related genes and proteins increased in the obese rats’ liver. The expression of CYP7A1 mRNA in N group was significantly lower than H group (P<0.05), especially lower than HE group (P<0.01). The expression of CYP7A1 protein in the obese rats’ liver in N group was extremely lower than H group and HE group (P<0.01). The protein expression of CD36 in N group was significantly lower than that in HE group (P<0.05). Hypoxia exercise improved the related physiological and biochemical indexes of lipid metabolism disorder. The perirenal fat weight of obese rats in HE group was extremely lower than N group and H group (P<0.01), and the perirenal fat weight in N group was significantly higher than H group (P<0.05). The epididymal fat weight in N group was significantly higher than H group (P<0.05), and extremely higher than HE group (P<0.01). The Lee’s index in HE group was extremely lower than N group and H group (P<0.01). The serum concentration of TC in obese rats in HE group was extremely lower than N group and H group (P<0.01). The serum concentration of TG in HE group was extremely lower than N group and H group (P<0.01). The serum concentration of LDL-C in N group was extremely higher than HE group (P<0.01). The serum concentration of HDL-C in N group was extremely lower than H group (P<0.01). ConclusionHypoxia and hypoxia exercise may negatively regulate the levels of PPARγ by inhibiting miR-27 in the obese rats’ liver, thereby affecting the expression of downstream target genes CYP7A1 and CD36, and promoting cholesterol, fatty acid oxidation and HDL-C transport in the liver, and ultimately the lipid levels in obese rats were improved. The effect of hypoxia exercise on improving blood lipid is better than simple hypoxia intervention.

ObjectiveTo investigate and analyze an outbreak of rotavirus infectious diarrhea in a prison in Chongqing Municipality, to provide a basis for adult rotavirus surveillance and prevention, and to explore the public health problems in special settings. MethodsA retrospective survey was conducted to collect and analyze data on individual cases with diarrheal disease on-site. The clinical characteristics, as well as the temporal, spatial and geographical distribution patterns of the epidemic were described. Multi-pathogen detection tests were conducted both on diarrhea cases and environmental samples, with viral genotyping performed on positive samples. A case-control analysis was performed to identify the causes of the outbreak, and an SEIR model was adopted to predict the outbreak trend and evaluate the effectiveness of interventions. ResultsA total of 65 cases were found among the inmates, with an attack rate of 2.03%. The predominant clinical manifestations included diarrhea (89.23%), watery stool (73.85%), and dehydration (18.46%). The epidemic curve indicated a “human-to-human” transmission pattern, with an average incubation period of 5‒6 days. The attack rates among chefs in the main canteen (80.00%, 8/10) and caterers (28.33%, 17/60) were significantly higher than those of other inmates （P<0.05）. Multi-pathogen polymerase chain reaction (PCR) testing detected positive for group A rotavirus, with the viral genotyping identified as G9P [8] strain. Factors such as unprotected "bare-handed" food distribution among cases with diarrhea (OR=9.512, 95%CI: 4.261‒21.234) and close contact with diarrhea cases (OR=3.656, 95%CI: 1.719‒7.778) were the possible cause of the outbreak. The SEIR model (r₀=5, α=0.3, β₁=0.08, β₂=0.04) was constructed using prison inmates as susceptible population, aiming at fitting the initial transmission trend of the outbreak, and the epidemic rate declined rapidly after intervention measures were implemented (r_t≈0). ConclusionThis rare rotavirus infection diarrhea outbreak among adults in confined settings suggests that the construction of public health prevention and control systems in prison may be overlooked. Cross infection during meal processing and distribution in the canteens of such settings is likely to be the cause of the outbreak. Given the potential neglect of public heath system construction in special settings, it is imperative to enhance the surveillance and monitoring of rotavirus and other intestinal multi-pathogens among adults, as well as the construction of public health prevention and control systems in these special settings.

Objective: To explore the mechanism of Buzhong Yiqi Decoction in modulating macrophage polarization and intervening in autoimmune thyroiditis (AIT) mice. Methods: Using the random number table method, 48 SPF-grade NOD.H-2h4 mice were assigned to the normal, model, low-dose (4.10 g/kg), medium-dose (8.19 g/kg), high-dose group (16.38 g/kg) of Buzhong Yiqi Decoction, and selenium yeast tablet (0.026 mg/kg) groups, with eight mice in each group. All groups, except the normal group, were free to drink high iodine water (0.05% sodium iodide) to prepare AIT mouse models for 8 consecutive weeks. After the modeling was complete, each treatment group was orally administered with the corresponding medication, while the normal and model groups were orally administered with an equal volume of distilled water once a day for 8 consecutive weeks. High-performance liquid chromatography with an oscillometric refractive detector was used to analyze the content of Astragaloside Ⅳ in Buzhong Yiqi Decoction. Hematoxylin and eosin staining was used to observe the pathological morphology of mouse thyroid tissue. Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of serum thyroid peroxidase antibody (TPO-Ab), thyroglobulin antibody (TgAb), interleukin (IL)-6, IL-10, and tumor necrosis factor-α (TNF-α). An immunofluorescence assay was used to detect the positive area percentage of M1 and M2 macrophages in mouse thyroid tissue. Flow cytometry assay was used to detect macrophage polarization in mouse spleen tissue. Real-time fluorescence quantitative PCR was used to detect the mRNA expression of nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3), nuclear factor kappa B inhibitory protein α (IκBα), and nuclear factor-κB (NF-κB) p65 in mouse spleen tissue. Western blotting was used to detect the expression of the phosphorylated IκBα (p-IκBα), phosphorylated NF-κB p65 (p-NF-κB p65), and NLRP3 protein in mouse spleen tissue. Results: The content of Astragaloside Ⅳ in Buzhong Yiqi Decoction was (7.09±0.06) g/L. Compared to the normal group, significant lymphocyte infiltration was observed in the thyroid tissue of mice in the model group. The levels of serum TPO-Ab, TgAb, IL-6, and TNF-α increased (P<0.05). The positive area percentage of M1 macrophages in thyroid tissue increased (P<0.05). The proportion of M1 macrophages and M1/M2 in spleen tissue increased (P<0.05). The relative expression levels of NF-κB p65 and NLRP3 mRNA in spleen tissue increased (P<0.05). The relative expression of p-IκBα, p-NF-κB p65, and NLRP3 proteins increased (P<0.05). Compared to the model group, the inflammation infiltration degree in the thyroid tissue of mice in each dose group of Buzhong Yiqi Decoction and selenium yeast tablet group was reduced, the serum TPO-Ab, TgAb, IL-6, TNF-α content was decreased, the spleen tissue M1/M2 was reduced, the expression of NF-κB p65 mRNA was reduced, and the relative expression levels of p-IκBα, p-NF-κB p65 protein were reduced (P<0.05). The Buzhong Yiqi Decoction high-dose and selenium yeast tablets groups showed an increase in IL-10 content, an increase in positive area percentage of M2 macrophages in thyroid tissue, an increase in M2 macrophages proportion in spleen tissue, and a decrease in NLRP3 mRNA and protein relative expression levels (P<0.05). Conclusion Buzhong Yiqi Decoction may regulate macrophage polarization by inhibiting the NF-κB/NLRP3 signaling pathway, thus improving the inflammatory damage in mice with AIT.

The breakthrough progress of implantable brain-computer interfaces (iBCIs) technology in the field of clinical trials has attracted widespread attention from both academia and industry. The development and advancement of this technology have provided new solutions for the rehabilitation of patients with movement disorders. However, challenges from many aspects make it difficult for iBCIs to further implement and transform technologies. This paper illustrates the key challenges restricting the large-scale development of iBCIs from the perspective of system implementation, then discusses the latest clinical application progress in depth, aiming to provide new ideas for researchers. For the system implementation part, we have elaborated the front-end signal collector, signal processing and decoder, then the effector. The most important part of the front-end module is the neural electrode, which can be divided into two types: piercing and attached. These two types of electrodes are newly classified and described. In the signal processing and decoder section, we have discussed the experimental paradigm together with signal processing and decoder for the first time and believed that the experimental paradigm acts as a learning benchmark for decoders that play a pivotal role in iBCIs systems. In addition, the characteristics and roles of the effectors commonly used in iBCIs systems, including cursors and robotic arms, are analyzed in detail. In the clinical progress section, we have divided the latest clinical progress into two categories: functional rehabilitation and functional replacement from the perspective of the application scenarios of iBCIs. Functional rehabilitation and functional replacement are two different types of application, though the boundary between the two is not absolute. To this end, we have first introduced the corresponding clinical trial progress from the three levels: application field, research team, and clinical timeline, and then conducted an in-depth discussion and analysis of their functional boundaries, in order to provide guidance for future research. Finally, this paper mentions that the key technical challenges in the development of iBCIs technology come from multiple aspects. First of all, from the signal acquisition level, high-throughput and highly bio-compatible neural interface designing is essential to ensure long-term stable signal acquisition. The electrode surface modification method and electrode packaging were discussed. Secondly, in terms of decoding performance, real-time, accurate, and robust algorithms have a decisive impact on improving the reliability of iBCIs systems. The third key technology is from the perspective of practicality, we believe that the signal transmission mode of wireless communication is the trend of the future, but it still needs to overcome challenges such as data transmission rate and battery life. Finally, we believe that issues such as ethics, privacy, and security need to be addressed through legal, policy, and technological innovation. In summary, the development of iBCIs technology requires not only the unremitting efforts of scientific researchers, but also the participation and support of policymakers, medical professionals, technology developers, and all sectors of society. Through interdisciplinary collaboration and innovation, iBCIs technology will achieve wider clinical applications in the future and make important contributions to improving the quality of life of patients.

Physiologically based pharmacokinetic (PBPK) models have been widely used to predict various stages of drug absorption, distribution, metabolism and excretion. Models based on machine learning (ML) and artificial intelligence (AI) can provide better ideas for the construction of PBPK models, which can accelerate the prediction speed and improve the prediction quality of PBPK. ML and AL can complement the advantages of PBPK model to accelerate the progress of drug research and development. This review introduces the application of machine learning and artificial intelligence in pharmacokinetics, summarizes the research progress of physiological pharmacokinetic models based on machine learning and artificial intelligence, and analyzes the limitations of machine learning and artificial intelligence applications and their application prospects and prospects.

Extracting extracts of secondary metabolites from the karst cave fungus Metarhizium anisopliae NHC-M3-2 from the Yilingyan Scenic Area in Guangxi. Ten compounds were isolated and purified from fungal secondary metabolites using thin-layer chromatography and high-performance liquid chromatography. 7-Hydroxy-3-hydroxypropyl-5,6-dimethylisochrome-1-one (1) and 7-hydroxy-3,5,6-trimethyl-isochromen-1-one (2) were new isocoumarin compounds, N-acetyl phenylalanine (3), chaetosumin J (4), 2-one-13-hydroxy-3,5,8,7(11)-eudesmatetraen-12,8-olide (5), 1H-indole-3-carboxaldehyde (6), irpexolaceus B (7), irlactin L (8), cytochalasin K (9), and helvolic acid (10), a total of 8 known compounds. The structure of the compound was determined using methods such as NMR and mass spectrometry. The tumor cytotoxicity of the compound was evaluated using the CCK-8 method. The results showed that the IC₅₀ of compound 2 on HepG2 cells was 29.83 µmol·L^-1, and compound 9 on HCT116 cells was 27.44 µmol·L^-1.

Objective:To investigate the molecular biological mechanism of Bw07 allele and its transferase alteration carried by a proband of ABw07 subtype.Methods:A 2-year-old male child was selected as the research object. The peripheral blood of the proband and his parents was identified for ABO blood type by the test tube method, and the ABO subgroup PCR-SSP detection and ABO gene sequencing were performed on the three individuals to determine their blood type genotypes. Finally, the effect of the p.Arg352Gln mutation on Bw07 transferase was verified by virtual mutation, DUET structure prediction, molecular dynamics analysis, and in vitro cellular experiments.Results:The serological phenotypes of the proband and his mother were ABw and Bw, respectively, while his father was normal A. The ABO subgroup PCR-SSP assay identified the three genotypes as Bw07/A, Bw07/O, and A/A, respectively.Sanger sequencing further verified that the proband and his mother carried the Bw07 gene, and virtual mutation showed that the intermolecular forces were weakened by the R352Q mutation. DUET predicted that this p.Arg352Gln mutation could affect the thermodynamic stability of Bw07 transferase. Molecular dynamics analysis confirmed that the alteration of thermodynamic stability was mainly related to the appearance of large fluctuations in the amino acid backbone atoms in the 125-133, 193-198 and 336-354 regions, and in vitro cellular experiments further verified the weakened antigen synthesis of Bw07 transferase.Conclusion:The formation of the ABw07 phenotype is associated with the mutation of the highly conserved Arg352 to Gln in Bw07 transferase.