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.

OBJECTIVE To evaluate the quality of evidence in the systematic evaluation/meta-analysis of traditional Chinese medicine （TCM） for diabetes retinopathy （DR） based on the GRADE system. METHODS Chinese and English databases were searched to obtain the relevant studies of systematic evaluation/meta-analysis of traditional Chinese medicine in the treatment of DR. The search time was from the establishment of each database to January 13th， 2024. According to the inclusion and exclusion criteria， literature screening was conducted. After extracting relevant information from the included literature， the GRADE system was used to evaluate the quality level of the evidence body in the included studies， and the evidence of the outcome indicators was integrated and summarized. RESULTS A total of 51 studies were ultimately included， encompassing 135 outcome indexes. Among these， 19 indicators （14.1%） were of high quality， 87 （64.4%） were of medium quality， 26 （19.3%） were of low quality， and 3 （2.2%） were of very low quality. Overall， the evidence quality of the outcome indicators in the included studies was medium to low quality. The integrated results of evidence on the efficacy of outcome indexes showed that compared with conventional Western medicine， calcium dobesilate or placebo， TCM had significant advantages in improving overall efficacy， reducing bleeding spot area， reducing macular foveal thickness， and increasing visual improvement rate. In addition，the combination of TCM and conventional Western medicine or calcium dobesilate was significantly more effective than using conventional Western medicine or calcium dobesilate alone. CONCLUSIONS The overall quality of the evidence in the systematic evaluation/meta-analysis study on the treatment of DR with TCM is medium to low quality. Based on existing research findings， TCM demonstrates good clinical efficacy in the treatment of DR.

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.

As an exclusive Miao medicine of Honwing Pharma （Guizhou） Co. Ltd.， Yifei Zhike capsules are both a prescription drug and an over-the-counter （OTC） drug. Its main ingredients include Ranunculus ternatus and Panax notoginseng. With the effects of nourishing Yin and moistening the lungs， as well as relieving cough and reducing phlegm， Yifei Zhike capsules are often used in the treatment of acute and chronic bronchitis， pulmonary tuberculosis， and other diseases. However， there is insufficient understanding of their efficacy， suitable syndromes， and safety in clinical practice， with a lack of relevant expert consensus on clinical application. To standardize their clinical application， 30 experts from the fields of respiratory medicine， pharmacy， and evidence-based medicine were invited to develop an Expert Consensus on the Clinical Application of Yifei Zhike Capsules （Consensus for short） through evidence-based medicine methods. The Consensus clarified the syndrome characteristics， disease stages， dosages， treatment courses， combined medication， and other norms in the treatment of acute/chronic bronchitis and pulmonary tuberculosis and could be applicable to clinical physicians and pharmacists in medical and health institutions at all levels. In disease diagnosis， it provided diagnostic criteria for traditional Chinese medicine and Western medicine and clarified that the suitable traditional Chinese medicine syndrome was the syndrome of Qi-Yin deficiency with intermingled phlegm-blood stasis. Clinical studies have confirmed that Yifei Zhike capsules combined with standard anti-tuberculosis therapy can effectively improve the symptoms of pulmonary tuberculosis patients， increase the sputum smear conversion rate， and promote the absorption of lesions. When treating acute cough caused by respiratory tract infections， Yifei Zhike capsules can increase the markedly effective rate and the seven-day disappearance rate of cough symptoms. Meanwhile， recommendations for specific usage， dosages， and treatment courses were given for different diseases， and it was pointed out that long-term medication required key monitoring of adverse reactions. In safety， the adverse reactions of Yifei Zhike capsules involved multiple aspects such as the digestive system and allergic reactions， and pregnant women and women during menstruation were prohibited from using it. In addition， modern research has shown that Yifei Zhike capsules have an adjuvant therapeutic effect on tuberculous pleurisy and may be effective for inflammatory and benign pulmonary nodules. However， further research should be conducted on the toxicological safety of long-term medication. The formulation of the Consensus provides a scientific basis for the rational clinical application of Yifei Zhike capsules， which helps to improve clinical efficacy and reduce medication risks.

As an exclusive Miao medicine of Honwing Pharma （Guizhou） Co. Ltd.， Yifei Zhike capsules are both a prescription drug and an over-the-counter （OTC） drug. Its main ingredients include Ranunculus ternatus and Panax notoginseng. With the effects of nourishing Yin and moistening the lungs， as well as relieving cough and reducing phlegm， Yifei Zhike capsules are often used in the treatment of acute and chronic bronchitis， pulmonary tuberculosis， and other diseases. However， there is insufficient understanding of their efficacy， suitable syndromes， and safety in clinical practice， with a lack of relevant expert consensus on clinical application. To standardize their clinical application， 30 experts from the fields of respiratory medicine， pharmacy， and evidence-based medicine were invited to develop an Expert Consensus on the Clinical Application of Yifei Zhike Capsules （Consensus for short） through evidence-based medicine methods. The Consensus clarified the syndrome characteristics， disease stages， dosages， treatment courses， combined medication， and other norms in the treatment of acute/chronic bronchitis and pulmonary tuberculosis and could be applicable to clinical physicians and pharmacists in medical and health institutions at all levels. In disease diagnosis， it provided diagnostic criteria for traditional Chinese medicine and Western medicine and clarified that the suitable traditional Chinese medicine syndrome was the syndrome of Qi-Yin deficiency with intermingled phlegm-blood stasis. Clinical studies have confirmed that Yifei Zhike capsules combined with standard anti-tuberculosis therapy can effectively improve the symptoms of pulmonary tuberculosis patients， increase the sputum smear conversion rate， and promote the absorption of lesions. When treating acute cough caused by respiratory tract infections， Yifei Zhike capsules can increase the markedly effective rate and the seven-day disappearance rate of cough symptoms. Meanwhile， recommendations for specific usage， dosages， and treatment courses were given for different diseases， and it was pointed out that long-term medication required key monitoring of adverse reactions. In safety， the adverse reactions of Yifei Zhike capsules involved multiple aspects such as the digestive system and allergic reactions， and pregnant women and women during menstruation were prohibited from using it. In addition， modern research has shown that Yifei Zhike capsules have an adjuvant therapeutic effect on tuberculous pleurisy and may be effective for inflammatory and benign pulmonary nodules. However， further research should be conducted on the toxicological safety of long-term medication. The formulation of the Consensus provides a scientific basis for the rational clinical application of Yifei Zhike capsules， which helps to improve clinical efficacy and reduce medication risks.

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.

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.

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.

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.