ObjectiveTo investigate the mechanism by which Gegen Qinliantang（GQT） improves skeletal muscle insulin resistance. MethodsThe db/m mice were used as the normal group， while db/db mice were assigned to a model group， low-dose （3.12 g·kg^-1）， medium-dose （6.24 g·kg^-1）， and high-dose （12.48 g·kg^-1） GQT groups， and a Western medicine group （semaglutide， 0.045 mg·kg^-1），n=6 in each group. All groups received corresponding interventions. Intraperitoneal glucose tolerance test （IPGTT）， intraperitoneal insulin tolerance test （IPITT）， and hematoxylin-eosin （HE） staining were used to evaluate insulin resistance and therapeutic efficacy. Serum lipid levels were measured using an automatic biochemical analyzer， and apoptosis in skeletal muscle was assessed via TUNEL assay. Transcriptome sequencing combined with gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses was performed to identify differentially expressed genes （DEGs）. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to validate gene expression. Molecular docking was applied to evaluate the binding patterns between active components of GQT and key regulatory genes to elucidate pharmacological mechanisms. ResultsCompared with the model group， the medium-dose and high-dose GQT groups showed significantly reduced fasting blood glucose （FBG） levels （P<0.01）. Triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） were markedly decreased （P<0.01）， while high-density lipoprotein cholesterol （HDL-C） was significantly increased （P<0.01）. IPGTT， IPITT， and HE staining demonstrated that GQT enhanced insulin sensitivity and restored skeletal muscle morphology. GQT also alleviated apoptosis in skeletal muscle tissue. Transcriptome analysis revealed that GQT primarily affected biological processes such as oxidative phosphorylation， metabolic pathways， cellular processes， and protein binding. Real-time PCR results showed that CBR2， CDK6， F830016B08Rik， IL-1β， Rab27b， and COLEC12 were key regulatory genes. Molecular docking demonstrated that CBR2， IL-1β， Rab27b， and COLEC12 formed stable binding with the main active components of GQT. The therapeutic effects of high- and medium-dose GQT were comparable to those of the semaglutide group. ConclusionGQT improves skeletal muscle insulin resistance， potentially by regulating apoptosis as part of its underlying biological mechanism.

Objective To explore the effects of CYP2C19, CYP2C9 and CYP3A5 genotypes on the plasma concentration of voriconazole in children. Methods Collected blood samples from 50 hospitalized children with invasive fungal infections who received intravenous voriconazole from January 2020 to December 2020. High performance liquid chromatography was used to detect the blood trough concentration of voriconazole, and the time-of-flight mass spectrometry detection system was used to detect the genotypes of CYP2C19, CYP2C9 and CYP3A5, and the effects of children’s genotyping on the plasma concentration, efficacy and adverse reactions of voriconazole were analyzed. Results The total effective rate of 50 children with IFI was 84% （42/50 cases） after voriconazole treatment. The incidence of adverse reactions was 20% （10/50 cases）. The measured plasma concentration of voriconazole ranged from 0.56~7.62 μg/ml. Combined with the different mutation types of CYP2C19 gene loci, three metabolic activities were produced: fast, medium and slow, and the test results showed that there were 16 cases of fast metabolism, 27 cases of intermediate metabolism and 7 cases of slow metabolism. There was a significant difference in plasma concentrations among the three groups （F=15.359, P<0.001）, and the drug concentrations in the fast metabolic group were significantly lower than those in the intermediate metabolic and slow metabolic groups. The mutations of CYP2C9 and CYP3A5 had no significant effect on the plasma concentrations of the drugs, which were （F=2.213, P=0.086 and F=0.757, P=0.475）. Conclusion Voriconazole had significant efficacy in the treatment of invasive fungal infections in children, and the adverse reactions were mild. CYP2C19 genotype was significantly related to the rate of drug metabolism and was an important factor affecting blood drug concentration, the detection of drug concentration and genotype of voriconazole was helpful to adjust the effective drug dose clinically and would achieve more scientific and individualized treatment.

In recent years, with the development of corneal cross-linking technology, corneal cross-linking therapy combined with adopting riboflavin and ultraviolet has been widely used in several corneal disorders, not only for keratoconus, but also for other corneal diseases, including infectious keratitis,chemical corneal injury, bullous keratopathy, and refractive surgery. Corneal cross-linking is a non-invasive procedure with the virtue of minor damage, rapid rehabilitation, convenient operation, and high safety. This review aims to investigate the mechanism of corneal cross-linking therapy, emphasizing the new progress of its efficacy and safety in the application of treating non-expanding corneal diseases, including infectious keratitis, chemical burns, bullous keratopathy and marginal degeneration. Corneal cross-linking therapy may be potentially helpful in the treatment of non-expanding corneal diseases.

Through network pharmacology and molecular docking technology, combined with in vitro experiment verification, we explored the mechanism of action of Porana racemosa Roxb. (PRA) in the treatment of rheumatoid arthritis (RA), and provided a modern pharmacological basis for the treatment of RA by PRA. The potential target of chemical components in the analyzed moth rattan was predicted by Swiss Target Prediction database; OMIM, GeneCards, TTD and Disgenet databases were used to search the disease targets of RA; the protein interaction (PPI) network and medicine-composition-target network were constructed using STRING database and Cytoscape software; GO (gene ontology) functional enrichment and KEGG (kyoto encyclopedia of genes and genomes) pathway analysis were carried out using DAVID database, and molecular docking software was used to dock the potentially active ingredients of PRA and core targets; finally, MH7A cells were selected for cell viability, scratch healing and mRNA expression level analysis of key genes to explore the effects of PRA and their potentially active ingredients on the proliferation, migration and apoptosis of MH7A cells. In this study, a total of 628 potentially active ingredient targets, 1 890 RA targets and 235 intersection targets were identified. It was screened that the potentially active ingredients of RA treatment by PRA were ethylcaffeate, N-p-coumaroyltyramine, 9,12,15-octadecatrienoic acid, methyl ester and so on, and the core targets involved tumor necrosis factor (TNF), matrix metalloproteinase 9 (MMP9), prostaglandin-endoperoxide synthase 2 (PTGS2) and so on. 1 200 GO entries and 166 KEGG pathway entries were obtained from the enrichment analysis; molecular docking results showed that N-p-coumaroyltyramine and ethylcaffeate had good binding activity with TNF, MMP9, cysteine-aspartate protease 3 (CASP3), PTGS2, B-cell lymphoma 2 (BCL2) proteins. In vitro experiments showed that PRA, ethylcaffeate and N-p-coumaroyltyramine could inhibit the proliferation, migration and invasion of MH7A cells, up-regulate the expression of apoptosis-related gene CASP3 mRNA, and down-regulate the expression of MMP9, PTGS2 and BCL2 mRNA, and it can also down-regulate the expression of phosphatidylinositol 3-kinase (PI3K) and protein kinase B (AKT) mRNA and PI3K and p-AKT proteins. This study preliminarily revealed that the treatment of RA by PRA may be related to proliferation, migration, invasion, apoptosis and regulation of PI3K/AKT signaling pathway.

The Model for End-Stage Liver Disease （MELD） score is currently used to prioritize liver allocation for cirrhotic patients awaiting liver transplantation in the world. With the application of MELD score in transplantation for patients with severe conditions， several models have been proposed to refine and improve MELD score. MELD score has also been used for the management of non-transplantation patients with chronic liver disease. This article briefly reviews the background of these models and believes that the original intention of MELD is to determine the priority of organ allocation for liver transplantation. The expanded application of MELD score beyond liver transplantation assessment should be performed with reference to clinical practice， and different MELD models should be selected rationally based on individual conditions， in order to help patients achieve optimal prognosis assessment， intervention measures， and benefits.

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.

ObjectiveTo explore the potential mechanism of moxibustion at Guanyuan （CV 4） in delaying skin photoaging. MethodsThirty-two male Wistar rats were randomly divided into four groups， namely blank group， model group， vitamin E group， and moxibustion group， with 8 rats in each group. Except for the blank group， dorsal skin of rats were exposed to ultraviolet （UV） radiation to establish a skin photoaging model. One week after modeling， the moxibustion group received moxibustion at "Guanyuan （CV 4）" once a day， five days per week； the vitamin E group received vitamin E （25 mg/kg·d） once a day by gavage， five days per week； the blank group， model group， and moxibustion group received an equivalent volume of normal saline via gavage； the intervention lasted for 7 weeks. After 7 weeks， dorsal skin tissues were collected to analyze the following indicators， such as skin tissue moisture content， histomorphological changes using hematoxylin-eosin （HE） staining， Collagen Ⅰ and collagen Ⅲ content using ELISA. Malondialdehyde （MDA）， glutathione peroxidase （GSH-Px）， superoxide dismutase （SOD）， hydrogen peroxide （H₂O₂）， and catalase （CAT） activity in skin tissue were dectected. Western Blot was used to determin autophagy-related proteins， including microtubule-associated protein 1A/1B-light chain 3 （LC3）， polyubiquitin-binding protein （p62）， and autophagy-specific gene （Beclin-1）； LC3， p62， and Beclin-1 mRNA expression was detected via qRT-PCR， and autophagosome formation was observed using transmission electron microscopy （TEM）. ResultsHE staining showed that the epidermal structure in the blank group was orderly and evenly thick， while the model group exhibited uneven epidermal thickness. In the moxibustion group， the epidermis was well-structured， smooth， and uniform， with densely arranged dermal layers； the epidermis in the vitamin E group was thicker than that in the model group. Compared with the blank group， the model group exhibited decreased skin moisture content and reduced level of Collagen Ⅰ and collagen Ⅲ， reduced SOD， CAT， and GSH-Px activity in skin tissue， increased H₂O₂ and MDA activity， elevated p62 protein and mRNA expression， reduced LC3 and Beclin-1 protein and mRNA expression （P＜0.05 or P＜0.01）. Compared with the model group， the moxibustion group showed significant improvement in all these indicators （P＜0.05 or P＜0.01）； whereas the vitamin E group did not show a statistically significant difference in Collagen Ⅰ and collagen Ⅲ levels （P＞0.05）. TEM results showed that， compared with the blank group， the model group had atrophic skin cells， extensive mitochondrial vacuolization， and degraded cellular structures； the moxibustion group exhibited crescent- or cup-shaped autophagosomes with a significantly increased number of autophagosomes per unit area， whereas the vitamin E group showed less improvement than the moxibustion group. ConclusionMoxibustion at "Guanyuan （CV 4）" may alleviate skin photoaging by regulating oxidative stress imba-lance， modulating cellular autophagy， and promoting collagen synthesis， thereby slowing the aging process of the skin.

Schistosomiasis is prevalent in 78 countries and territories worldwide, while the eastern and western parts of sub-Sahara Africa bear the highest disease burden due to schistosomiasis. Recently, climate change, international trade and travel, urbanization and war have increased the risk of cross-boundary importation and transmission of schistosomiasis, and schistosomiasis has increasingly become a public health concern in non-endemic countries and territories. Biomphalaria straminea, the intermediate host of Schistosoma mansoni, has colonized in southern China and its habitats continue to move northward. In addition, cross-boundary imported cases of schistosomiasis have been reported occasionally in China. However, the real number of cases may be underestimated greatly due to insufficient diagnostic capacity and weak awareness of case reporting for overseas imported schistosomiasis in healthcare facilities. It is necessary to establish a multi-party collaborative mechanism, improve corresponding systems and technical specifications, reinforce surveillance and early warning, and border management, enhance technical reserves and capability building, and improve the awareness of schistosomiasis prevention and healthcare-seeking among entry-exit personnel, in order to effectively address the threat of cross-boundary imported schistosomiasis.

Objective To analyze the structural and phylogenetic characteristics of the mitochondrial genome from Bulinus globosus, so as to provide a theoretical basis for classification and identification of species within the Bulinus genus, and to provide insights into understanding of Bulinus-schistosomes interactions and the mechanisms of parasite transmission. Methods B. globosus samples were collected from the Ruya River basin in Zimbabwe. Mitochondrial DNA was extracted from B. globosus samples and the corresponding libraries were constructed for high-throughput sequencing on the Illumina NovaSeq 6000 platform. After raw sequencing data were subjected to quality control using the fastp software, genome assembly was performed using the A5-miseq and SPAdes tools, and genome annotation was conducted using the MITOS online server. Circular maps and sequence plots of the mitochondrial genome were generated using the CGView and OGDRAW software, and the protein conservation motifs and structures were analyzed using the TBtools software. Base composition and codon usage bias were analyzed and visualized using the software MEGA X and the ggplot2 package in the R software. In addition, a phylogenetic tree was created in the software MEGA X after sequence alignment with the software MAFFT 7, and visualized using the software iTOL. Results The mitochondrial genome of B. globosus was a 13 730 bp double-stranded circular molecule, containing 2 ribosomal RNA (rRNA) genes, 22 transfer RNA (tRNA) genes, and 13 protein-coding genes, with a marked AT preference. The mitochondrial genome composition of B. globosus was similar to that of other species within the Bulinus genus. Phylogenetic analysis revealed that the complete mitochondrial genome sequence of B. globosus was clustered with B. truncatus, B. nasutus, and B. ugandae into the same evolutionary clade, and gene superfamily analysis showed that the metabolism-related proteins of B. globosus were highly conserved, notably the cytochrome c oxidase family, which showed a significant consistency. Conclusions This is the first whole mitochondrial genome sequencing to decode the compositional features of the mitochondrial genome of B. globosus from Zimbabwe and its evolutionary relationship within the Bulinus genus, which provides important insights for further understanding of the phylogeny and mitochondrial genome characteristics of the Bulinus genus.

Objective: To analyze the trajectory of dietary behaviors among middle school students in Jiading District, Shanghai, from 2021 to 2023, and longitudinally verify their association with anxiety and depression symptoms, aiming to provide scientific evidence for promoting the mental health of adolescents. Methods: The data were sourced from the National Monitoring and Intervention Project on Common Diseases and Health Impact Factors of students in Jiading District, Shanghai. A total of 1 217 middle school students who participated in at least two surveys from 2021 to 2023 were selected as the research objects, and group-based trajectory model was constructed to identify their dietary behavior scores trajectories. Modified Poisson regression was used to investigate the impact of dietary behavior scores trajectories on anxiety and depression, while Logistic regression was employed to explore the association between trajectories and changes in depression score levels. Results: The dietary behavior scores trajectories of middle school students were divided into three groups: Persistent Healthy Dietary Behavior (9.5%), Persistent Relatively Unhealthy Dietary Behavior (85.0%), and Persistent Very Unhealthy Dietary Behavior (5.5%). Students who perceived their academic performance as poor and whose parents had a cultural level of high school or below had a significantly lower proportion in the Persistent Healthy Dietary Behavior group compared to students with other characteristics ( χ 2=12.87, 8.69, 6.50, P <0.05). Compared with the Persistent Healthy Dietary Behavior group, the risk of anxiety symptoms in middle school students in the Persistent Very Unhealthy Dietary Behavior group was significantly increased ( aRR=3.04, 95%CI =1.15-8.02); Persistent Relatively Unhealthy Dietary Behavior and Persistent Very Unhealthy Dietary Behavior increased the risk of depressive symptoms ( aRR = 1.80 , 2.45, respectively), and were positively correlated with the increase in depression scores ( aOR =1.70, 2.24) ( P <0.05). Conclusions The dietary behavior of middle school students have not changed significantly in the past three years, with persistent unhealthy dietary behavior being the most common. Unhealthy dietary behaviors are positively correlated with the risk of anxiety and depressive symptoms and an increase in depression scores.