Objective: To investigate the mechanism of Yishen Tongluo Formula in ameliorating renal pyroptosis in diabetic nephropathy mice by regulating the toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (MyD88)/nuclear factor-κB (NF-κB) signaling pathway. Methods: Sixty C57BL/6 male mice were randomly divided into control (10 mice) and intervention groups (50 mice) using random number table method. The diabetes nephropathy model was established by intraperitoneally injecting streptozotocin(50 mg/kg). After modeling, the intervention group was further divided into model, semaglutide (40 μg/kg), and high-, medium-, and low-dose Yishen Tongluo Formula groups (15.6, 7.8, and 3.9 g/kg, respectively) using random number table method. The high-, medium-, and low-dose Yishen Tongluo Formula groups were administered corresponding doses of medication by gavage, the semaglutide group received a subcutaneous injection of semaglutide injection, and the control group and model groups were administered distilled water by gavage for 12 consecutive weeks. Random blood glucose levels of mice in each group were monitored, and the 24-h urinary protein content was measured using biochemical method every 4 weeks; after treatment, the serum creatinine and urea nitrogen levels were measured using biochemical method. The weight of the kidneys was measured, and the renal index was calculated. Hematoxylin and eosin, periodic acid-Schiff, periodic Schiff-methenamine, and Masson staining were used to observe the pathological changes in renal tissue. An enzyme-linked immunosorbent assay was used to detect urinary β2-microglobulin (β2-MG), neutrophil gelatinase-associated lipocalin (NGAL), and kidney injury molecule-1 (KIM-1) levels. Western blotting and real-time fluorescence PCR were used to detect the relative protein and mRNA expression levels of nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3), Caspase-1, gasdermin D (GSDMD), interleukin-1β (IL-1β), and interleukin-18 (IL-18) in renal tissue. Immunohistochemistry was used to detect the proportion of protein staining area of the TLR4, MyD88, and NF-κB in renal tissue. Results: Compared with the control group, the random blood glucose, 24-h urinary protein, serum creatinine, urea nitrogen, and renal index of the model group increased, and the urine β2-MG, NGAL, and KIM-1 levels increased. The relative protein and mRNA expression levels of NLRP3, Caspase-1, GSDMD, IL-1β, and IL-18 in renal tissue increased, and the proportion of TLR4, MyD88, and NF-κB protein positive staining areas increased (P<0.05). Pathological changes such as glomerular hypertrophy were observed in the renal tissue of the model group. Compared with the model group, the Yishen Tongluo Formula high-dose group showed a decrease in random blood glucose after 12 weeks of treatment (P<0.05). The Yishen Tongluo Formula high- and medium-dose groups showed a decrease in 24-h urinary protein, creatinine, urea nitrogen, and renal index, as well as decreased β2-MG, NGAL, and KIM-1 levels. NLRP3, Caspase-1, GSDMD, IL-1 β, and IL-18 relative protein and mRNA expression levels were also reduced, and the proportion of TLR4, MyD88, and NF-κB protein positive staining areas was reduced (P<0.05). Pathological damage to renal tissue was ameliorated. Conclusion Yishen Tongluo Formula may exert protective renal effects by inhibiting renal pyroptosis and alleviating tubular interstitial injury in diabetic nephropathy mice by regulating the TLR4/MyD88/NF-κB signaling pathway.

ObjectiveTo investigate vitamin D level in children with cholestatic liver disease， and to provide a theoretical basis for vitamin D supplementation therapy in children with this disease. MethodsA total of 116 children with cholestatic liver disease who attended Department of Traditional Chinese Medicine， Beijing Children’s Hospital， Capital Medical University， for the first time from January 2022 to January 2024 were enrolled and divided into groups for comparison based on sex， age， vitamin D supplementation dose， course of the disease， and etiology. The data on the serum level of 25-hydroxyvitamin D （25-OH-D） and related biochemical parameters were collected to assess the correlation between vitamin D level and biochemical parameters. The chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups， and the Spearman rank correlation test was used for correlation analysis. ResultsAmong the 116 children， 76 （65.5%） had vitamin D deficiency or insufficiency. The children with vitamin D deficiency or insufficiency accounted for 65.7% （46/70） among boys and 65.2% （30/46） among girls， with no significant difference between boys and girls （χ²=0.003， P=0.956）. The children with vitamin D deficiency or insufficiency accounted for 83.3% （25/30） among the children who had never received vitamin D supplementation， 58.7% （27/46） among the children with a daily supplementation dose of 500 IU， 64.3% （18/28） among the children with a daily supplementation dose of 700 IU， and 50.0% （6/12） among the children with a daily supplementation dose of>700 IU， and there was no significant difference between these groups （χ²=6.460， P=0.091）. Comparison between the groups with different etiologies showed that the children with vitamin D deficiency or insufficiency accounted for 57.7% （15/26） in the infectious disease group， 66.7% （10/15） in the inherited metabolic disease group， 66.7% （6/9） in the drug-induced liver injury group， 100.0% （8/8） in the group with abnormal structure of the biliary system， and 63.8% （37/58） in the group with unknown etiology， and there was no significant difference between these groups （χ²=5.304， P=0.252）. Comparison between the groups with different courses of the disease showed that the children with vitamin D deficiency or insufficiency accounted for 78.4% （29/37） in the<1 month group， 54.3% （25/46） in the 1‍ — ‍3 months group， 53.3% （8/15） in the 3‍ — ‍6 months group， and 77.8% （14/18） in the>6 months group， with no significant difference between these groups （χ²=7.432， P=0.059）. Comparison between different age groups showed that compared with the infant group， the children group had a significantly higher proportion of children with vitamin D deficiency or insufficiency （χ²=9.504， P=0.018）. The correlation analysis showed that serum aspartate aminotransferase and alanine aminotransferase had no significant correlation with 25-OH-D （P>0.05）； serum alkaline phosphatase （ALP） （r=-0.286， P=0.002）， gamma-glutamyl transpeptidase （GGT） （r=-0.248， P=0.007）， total bilirubin （TBil） （r=-0.353， P<0.001）， direct bilirubin （DBil） （r=-0.299， P=0.001）， and total bile acid （r=-0.236， P=0.011） were negatively correlated with 25-OH-D， while serum calcium （r=0.263， P=0.004） and phosphorus （r=0.385， P<0.001） were positively correlated with 25-OH-D. ConclusionMost children with cholestatic liver disease have vitamin D deficiency or insufficiency， and the increase in serum ALP， GGT， TBil， DBil or total bile acid and the reduction in calcium or phosphorus may suggest vitamin D deficiency or insufficiency.

Objective : To investigate the antidepressant effects and the underlying mechanisms of tetrahydrocurcumin(THC) and its nanoparticle formulation(THCN). Methods : Forty-six male ICR mice were randomly divided into Con group, LPS group, THC group, THCN group and SER group. A mouse depression model was established by intraperitoneal administration of LPS. The anxiety and depression-like behaviors of mice were evaluated by open field test(OFT) and forced swimming test(FST). Myelin staining was applied to assess the extent of demyelination in the prefrontal cortex of the mice. The prefrontal cortex and hippocampus were further examined for the expression levels of glial fibrillary acidic protein(GFAP) and Toll-like receptor 4(TLR4) through quantitative immunofluorescence assays. Results : Compared with the Con group, the LPS group showed increased anxiety-like and depressive-like behaviors in both the long-term and short-term experiments(P<0.05); the degree of demyelination increased in the LPS group of the long-term experiment(P<0.01); the expression of GFAP was reduced in the LPS group of the short-term experiment(P<0.01), while the expression of TLR4 increased(P<0.05); the expression of TLR4 decreased in the THC group(P<0.01); the expression of GFAP in the prefrontal cortex of the THCN group was reduced(P<0.01), while the expression of TLR4 increased(P<0.05). Compared with the LPS group, the THC group showed reduced depressive-like behaviors in the long-term experiment(P<0.05), while the anxiety-like and depressive-like behaviors of the THCN group and the SER group were reduced(P<0.05), and the anxiety-like and depressive-like behaviors of the THC group and the THCN group were reduced in the short-term experiment(P<0.05); the degree of demyelination was reduced in the THC group, THCN group and SER group in the long-term experiment(P<0.05); the expression of GFAP increased in the THC group of the short-term experiment(P<0.05), while the expression of TLR4 was reduced(P<0.05), and the expression of GFAP increased in the THCN group(P<0.05). Compared with the THC group, the THCN group and the SER group showed reduced anxiety-like behaviors in the long-term experiment(P<0.05); the expression of GFAP in the prefrontal cortex of the THCN group was reduced in the short-term experiment(P<0.05), while the expression of TLR4 in the hippocampal DG area increased in the short-term experiment(P<0.01). Conclusion Tetrahydrocurcumin and its nanoparticle formulation both exert significant ameliorative effects on depression-like behaviors and demyelination in mice induced by lipopolysaccharide. The antidepressant mechanism of THC appears to be mediated through the down-regulation of TLR4 and the up-regulation of GFAP. The mechanism underlying the antidepressant action of THCN seems predominantly focused on the enhancement of GFAP expression.

BACKGROUND:A network-based pharmacological approach has identified multifunctional effects of the main bioactive compounds in the Trichosanthis Fructus-Allii Macrostemonis Bulbus on coronary heart disease;however,the mechanism of its therapeutic effect on coronary heart disease has not been fully elucidated. OBJECTIVE:To investigate the role and mechanism of Trichosanthis Fructus-Allii Macrostemonis Bulbus in improving coronary heart disease by regulating the composition of gut microbiota. METHODS:Forty Sprague-Dawley rats were randomly divided into four groups:blank control group(n=10),model group(n=10),positive drug group(n=10),and medicine pair group(n=10).A rat model of coronary heart disease was established by continuous gastric perfusion of fat emulsion and injection of pituitrin.After modeling,rats in the model group were gavaged with distilled water(10 mL/kg)for control,rats in the positive drug group were gavaged with simvastatin 4 mg/kg per day,and rats in the medicine pair group were gavaged with Trichosanthis Fructus-Allii Macrostemonis Bulbus pairs 7.56 g/kg per day.All interventions lasted for 14 days.Electrocardiograms and myocardial pathology were observed,and blood lipid levels were measured.The structure of gut microbiota was analyzed using 16S rDNA sequencing technology. RESULTS AND CONCLUSION:Electrocardiogram results showed ST segment elevation in the model group.There were no significant abnormalities in the electrocardiograms of the positive drug group and medicine pair group.Compared with the blank control group,the levels of total cholesterol,triacylglycerol,and low-density lipoprotein cholesterol were significantly higher in the model group(P<0.05).Compared with the model group,the levels of total cholesterol,triacylglycerol,and low-density lipoprotein cholesterol were significantly lower in the positive drug group and medicine pair group(P<0.05).Compared with the blank control group,focal myocardial cell necrosis was observed in the model group,while partial myocardial cell disarray was observed in the positive drug group and medicine pair group.Compared with the blank control group,the Ace,Shannon,and Chao indices were increased(P<0.05)and the Simpson index was decreased(P<0.05)in the model group,positive drug group and medicine pair group.Compared with the model group,the Ace and Chao indices were decreased(P<0.05),while the Shannon index showed no significant difference(P>0.05)and the Simpson index was also decreased(P<0.05)in the positive drug group and medicine pair group.Compared with the blank control group,the relative abundances of Desulfovibrionia,Muribaculaceae_norank,etc.were increased in the model group,while those of Clostridia,[Eubacterium]_coprostanoligenes_group_norank,etc.were decreased.Compared with the model group,the relative abundances of WPS-2_norank,Muribaculaceae_norank,etc.were increased in the medicine pair group,while those of Clostridia,[Eubacterium]_coprostanoligenes_group_norank,etc.were decreased;the relative abundances of Desulfobacterota,[Eubacterium]_coprostanoligenes_group_norank,etc.were increased in the positive drug group,while those of Firmicutes,Muribaculaceae_norank,etc.were decreased.Compared with the positive drug group,the relative abundances of Desulfobacterota,Bacteroides,etc.were increased in the medicine pair group,while those of Firmicutes,[Eubacterium]_coprostanoligenes_group_norank,etc.were decreased.The LEfSe results showed that the medicine pair group had the highest microbial enrichment,followed by the blank control group and positive drug group,with the model group having the lowest microbial enrichment.To conclude,Trichosanthis Fructus-Allii Macrostemonis Bulbus pairs can improve the development of coronary heart disease by regulating gut microbiota composition,providing new insights for further research and development of Trichosanthis Fructus-Allii Macrostemonis Bulbus pairs.

BACKGROUND:Transcranial magneto-acoustic-electrical stimulation is a novel non-invasive neural regulation technique that utilizes the induced electric field generated by the coupling effect of ultrasound and static magnetic field to regulate the discharge activity of the nervous system.However,the mechanism by which it affects synaptic plasticity in the brain is still not enough. OBJECTIVE:To explore the effect of transcranial magneto-acoustic-electrical stimulation intensity on synaptic plasticity of the prefrontal cortex neural network in mice. METHODS:(1)Animal experiment:Twenty-four C57 mice were equally and randomly divided into four groups:the control group receiving pseudo-stimulation,the 6.35 W/cm2 stimulation group receiving coupled stimulation of 0.3 T,6.35 W/cm2,the 17.36 W/cm2 stimulation group receiving coupled stimulation of 0.3 T,17.36 W/cm2,and the 56.25 W/cm2 stimulation group receiving coupled stimulation of 0.3 T,56.25 W/cm2.The local field potential signals and behavioral correctness were recorded during the execution of T-maze in mice.(2)Modeling and simulation experiments:A neural network model of the prefrontal cortex in mice stimulated by transcranial magneto-acoustic-electrical stimulation was constructed to compare the structural connectivity characteristics of the neural network under different stimulation intensities. RESULTS AND CONCLUSION:Transcranial magneto-acoustic-electrical stimulation could effectively shorten the behavior learning time,improve the working memory ability of mice(P＜0.05),and continue to stimulate the frontal lobe of mice after learning behavior.There was no significant difference in the accuracy of the T-maze behavioral experiment among the experimental groups(P＞0.1).Analysis of local field potential signals in the frontal lobe of mice revealed that transcranial magneto-acoustic-electrical stimulation promoted energy enhancement of β and γ rhythms.As the stimulation intensity increased,there was an asynchronous decrease in β and γ rhythms.Through β-γ phase amplitude coupling,it was found that stimuli could enhance the neural network's ability to adapt to new information and task requirements.Modeling and simulation experiments found that stimulation could enhance the discharge level of the neural network,increase the long-term synaptic weight level,and decrease the short-term synaptic weight level only when the stimulation intensity was high.To conclude,there is a complex nonlinear relationship between different stimulus intensities and the functional structure of neural networks.This neural regulation technique may provide new possibilities for the treatment of related neurological diseases such as synaptic dysfunction and neural network abnormalities.

BACKGROUND:Stem cells can promote nerve regeneration,repair damaged nerves,inhibit inflammation and apoptosis of nerve cells,and provide a new way for the treatment of Alzheimer's disease. OBJECTIVE:To make a bibliometrical analysis of the articles on stem cell therapy for Alzheimer's disease published internationally from 2004 to 2023,in order to reveal the research hotspot and trend of stem cell therapy for Alzheimer's disease. METHODS:From the Web of Science Core Collection database,by using Excel,VOSviewer,and Citespace software,the annual number of publications,countries,institutions,journals/co-cited journals,authors,and keywords of articles related to stem cells and Alzheimer's disease published from January 1,2004 to October 31,2023 were visually analyzed. RESULTS AND CONCLUSION:A total of 3 521 core papers were included,and the number of published papers increased year by year.The United States is the country with the most papers.Harvard Medical School is the most prolific institution.Maiese kenneth is the author with the most papers.International Journal of Molecular Sciences has the most papers in this field.The journal PLoS One published the most citations.At present,the field of stem cell therapy for Alzheimer's disease focuses on pathophysiological mechanism and animal experimental research,and"neurogenesis","oxidative stress","extracellular vesicles",and"mesenchymal stem cells"are the research trends in this field.Stem cell therapy for Alzheimer's disease has broad prospects.In the future,exchanges and cooperation between institutions and authors should be strengthened to further explore the main mechanism of stem cell therapy for Alzheimer's disease,solve possible clinical problems such as immune rejection,effectiveness,and safety,and further tap the potential of stem cells in the treatment of Alzheimer's disease.

To provide references to and give suggestions to the development and optimiza-tion of Digital Intelligence (DI) technology in management of non-hospitalized patients by systematical review the application of digital technology in non-hospital settings.

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.

Tick-borne encephalitis is a central nervous system disease caused by infections with tick-borne pathogens, which is characterized by severe clinical symptoms, multiple sequelae, and a high fatality rate. Currently, there is no cure for tick-borne encephalitis. Tick-borne encephalitis virus (TBEV) is the most common pathogen of tick-borne encephalitis. Therefore, rapid and accurate detection of TBEV contributes to reducing the mortality of tick-borne encephalitis, improving patients' prognosis, and reducing the risk of TBEV transmission. The currently available serological tests for detection of TBEV infections mainly include neutralization test, enzyme-linked immunosorbent assay (ELISA), immunofluorescence assay, and nucleic acid tests mainly include polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP), reverse transcription polymerase spiral reaction, clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas)-based assays. This review summarizes the progress of researches on serological and nucleic acid tests for detection of TBEV infections, so as to provide insights into prevention and control of tick-borne encephalitis.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.