Objective: To analyze the phylogenetic characteristics of VP1 gene of Coxsackievirus A10 (CVA10) isolates from 2004 to 2023, and to understand the genetic evolution and epidemic trends of CVA10, so as to provide references for the prevention and control of hand, foot, and mouth disease. Methods: The full-length sequences of the VP1 region of CVA10 isolates were retrieved from the BV-BRC database before December 15, 2024. Gene typing, sequence analysis, evolutionary analysis, and amino acid mutation site analysis were conducted using bioinformatics software. Results: A total of 1 253 CVA10 isolates VP1 region nucleotide full-length sequences from 2004 to 2023 were included, with 9 strains from 2004 to 2008, 338 strains from 2009 to 2012, and 906 strains from 2013 to 2023. China had the highest number of CVA10 isolates, with 1 143 strains accounting for 91.22%, and the predominant genotype was C3. Compared to the prototype strain, the nucleotide sequence homology of the VP1 region of CVA10 isolates ranged from 74.94% to 77.63%, while the amino acid sequence homology ranged from 88.59% to 93.62%. The third codon position preferred cytosine and thymine. The top three most abundant amino acids were threonine, alanine, and valine. The average relative synonymous codon usage of 30 amino acid codon groups was greater than 1. The average amino acid substitution entropy value was 0.04, with four amino acid mutation-prone sites identified, and the mutation-prone rate was 1.35%. Conclusions From 2004 to 2023, the majority of CVA10 isolates were primarily sourced from China, with genotype C3 being the predominant circulating strain in China. The nucleotide homology between the CVA10 isolates and the prototype strain was relatively low, and mutation-prone sites were identified, indicating that enhanced monitoring of viral variation is necessary.

Acute kidney injury (AKI) has high morbidity and mortality, but effective clinical drugs and management are lacking. Previous studies have suggested that macrophages play a crucial role in the inflammatory response to AKI and may serve as potential therapeutic targets. Emerging evidence has highlighted the importance of forkhead box protein O1 (FoxO1) in mediating macrophage activation and polarization in various diseases, but the specific mechanisms by which FoxO1 regulates macrophages during AKI remain unclear. The present study aimed to investigate the role of FoxO1 in macrophages in the pathogenesis of AKI. We observed a significant upregulation of FoxO1 in kidney macrophages following ischemia-reperfusion (I/R) injury. Additionally, our findings demonstrated that the administration of FoxO1 inhibitor AS1842856-encapsulated liposome (AS-Lipo), mainly acting on macrophages, effectively mitigated renal injury induced by I/R injury in mice. By generating myeloid-specific FoxO1-knockout mice, we further observed that the deficiency of FoxO1 in myeloid cells protected against I/R injury-induced AKI. Furthermore, our study provided evidence of FoxO1's pivotal role in macrophage chemotaxis, inflammation, and migration. Moreover, the impact of FoxO1 on the regulation of macrophage migration was mediated through RhoA guanine nucleotide exchange factor 1 (ARHGEF1), indicating that ARHGEF1 may serve as a potential intermediary between FoxO1 and the activity of the RhoA pathway. Consequently, our findings propose that FoxO1 plays a crucial role as a mediator and biomarker in the context of AKI. Targeting macrophage FoxO1 pharmacologically could potentially offer a promising therapeutic approach for AKI.

Phosphodiesterase type 5(PDE5)participates in the physiological functions of multiple organs by regulating the nitric oxide(NO)-cyclic guanosine monophosphate(cGMP)pathway.As a long-acting PDE5 inhibitor,tadalafil has been used clinically for over 20 years and is approved for the treatment of male erectile dysfunction and lower urinary tract symptoms associated with benign prostatic hyperplasia.Furthermore,tadalafil maintains cGMP levels by inhibiting PDE5,thereby activa-ting the downstream NO-cGMP signaling pathway to exert multiple effects,including relaxing smooth muscle,exerting antioxidant actions,regulating apoptosis,and modulating metabolism.Clinical evidence indicates that tadalafil shows promising therapeutic potential in multi-organ system diseases such as pulmonary arterial hypertension,heart failure,type 2 diabetes,cognitive impair-ment,female infertility,and fetal growth restriction.This article systematically reviews the action mechanisms and research pro-gress of tadalafil in treating diseases beyond erectile dysfunction,aiming to summarize its potential for cross-disease system clini-cal applications and provide references for optimizing treatment strategies for patients with chronic diseases.

Objective Depression,a most common psychiatric disease,is defined in Traditional Chinese Medicine(TCM)as Yu Syndrome,i.e.,depression disorder,or Baihe Disease,i.e.,lily bulb disease,a category of emotional disorders treated with lily-based TCM preparations.In TCM,depression is managed through syndrome differentiation and treatment,which is characterized by high efficacy and safety.However,there is no unified standard for the classification of depression syndromes,which leads to a disconnection between the analysis of patients'medication patterns and their actual syndromes and hinders the study of medication patterns specific to particular syndromes.Therefore,this study is focused on investigating the medication patterns of different sub-types of depression patients based on an objective classification system of depression.Methods We searched for and retrieved clinical literature on TCM formulas for depression from relevant databases,including China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP Database,Sinomed,Web of Science,and PubMed.Information on patient symptoms and medication was standardized.Then,the symptoms and the medication frequency of depression patients were statistically analyzed.We used the K-means clustering method combined with implicit structural analysis to objectively categorize depression patients into sub-types.In addition,the main symptoms and core TCM formulas of each sub-type of depression patients were identified.On the basis of objective classification system,we also statistically analyzed the characteristics of herbs used on depression patients,including the 4 basic properties,the 5 flavors,the attributes,the therapeutic efficacy,and the co-occurrence patterns,which may help reveal the medication patterns.Results A total of 3 537 publications and 4 434 prescriptions were included in the analysis.By using the K-means algorithm and latent structure analysis methods,patients with depression were categorized into 9 sub-types,with Cluster 6 accounting for the largest proportion.The most common symptoms among depression patients were insomnia and a depressed mood.Medication frequency analysis showed that Radix Bupleuri(Chai Hu),Radix Paeoniae Alba(Bai Shao),Poria(Fu Ling),Rhizoma Chuanxiong(Chuan Xiong),and Radix Curcumae(Yu Jin)were the most commonly used TCM herbs.For the depression sub-types of Clusters 1,2,and 6,blood-activating and stasis-dissolving herbs were used most often.The depression sub-types of Clusters 3,4,5,8,and 9 were mainly treated with qi-regulating herbs,while the depression sub-type of Cluster 7 was treated with qi-supplementing herbs.Depression patients were mostly treated with herbs that were cold or warm in nature and had sweet,bitter,and pungent flavors.Moreover,treatments for Cluster 1 and Cluster 6 mainly targeted the spleen meridian,while those for Cluster 2,Cluster 3,Cluster 4 and Cluster 5 mainly targeted the heart meridian.The treatments for the other sub-types mainly targeted the liver meridian.The core TCM formulas for the 9 depression sub-types included Zishui Qinggan Decoction,Danzhi Xiaoyao Powder,Huanglian Wendan Tang,Chaihu Guizhi Tang,Modified Xiaoyao Powder,Qinggan Jieyu Tang,Xiaoyao Powder,Xuefu Zhuyu Decoction,and Bazhen Decoction.The most commonly used Chinese herbal medicinal formulas were Gan Cao-Chai Hu,Bai Shao-Chai Hu,and Chen Pi-Chai Hu.Conclusion Based on machine learning,this study reveals the scientific aspects of TCM typing and syndrome-based treatment.It clarifies the rationale for targeting different symptoms in depression treatment and provides theoretical support for clinicians to make medication prescriptions.It also presents a new perspective for investigating TCM medication patterns.

Objective To investigate the value of MRI radiomics for the preoperative noninvasive prediction of isocitrate dehydrogenase(IDH)mutation status in glioma.Methods Totally,306 glioma patients were retrospectively selected.All patients were randomly assigned into training group(n=214)and validation group(n=92)at a ratio of 7∶3.Region of interest(ROI)was manually delineated by two radiologists independently on the fluid attenuated inversion recovery(FLAIR)and contrast enhanced(CE)MRI images for obtaining whole volume of interest(VOI)of lesion.A total of 851 radiomics features were extracted from the VOI,respectively.The least absolute shrinkage and selection operator(LASSO)method was used for features dimension reduction combing 10-fold cross validation.Three Radiomics score(Radscore)were calculated by linear combination of retained features and their corresponding coefficients.The optimal Radscore and clinical characteristics were incorporated to perform logistic regression analysis for establishing the IDH mutation status noninvasive prediction model.A nomogram was plotted for realizing the visualization of model.The receiver operating characteristic(ROC)curve was plotted to evaluate the prediction performance of model.The calibration and clinical utility of the model were evaluated by calibration curve and decision curve.Results The area under the curve(AUC)of Radscore-combined based on combination of two sequences was 0.856 in the training group,which was superior to the Radscore-CE(AUC=0.821),Radscore-FLAIR(AUC=0.766)from single sequence,with consistent result in the validation group.The addition of clinical characteristics to the model improved predictive value with AUC,sensitivity and specificity of 0.898,79.59％,90.52％in the training group.Conclusion The radiomics model based on FLAIR and CE MRI contributes to preoperative noninvasive prediction of IDH mutation status in glioma.The combination of multi-sequence and the addition of clinical characteristics can improve the prediction performance.

Objective:To explore the effect of ginsenoside Rg1 on spermatogenic dysfunction in mice caused by diabetes and its mechanism of action.Methods:Eighteen male C57BL mice were randomly divided into control group, the model group and the ginsenoside Rg1 group by completely random method, with 6 mice in each group. Type 2 diabetes models were established in the model group and the ginsenoside Rg1 group by a high-fat diet combined with intraperitoneal injection of streptozotocin, while control group was injected with the same amount of normal saline. After successful modeling, control group was given a regular diet for 8 weeks, while the model group and ginsenoside Rg1 group were given a high-fat diet for 8 weeks. The ginsenoside Rg1 group was also treated with ginsenoside Rg1 medication. Reproductive hormone levels were detected by enzyme-linked immunosorbent assay test kits, and Western blotting was used to detect the expressions of apoptosis-related proteins (Bcl2 protein, Caspase-3 protein, Bax protein), autophagy-related proteins (P62, LC3Ⅰ, LC3Ⅱ, Beclin1), β-Catenin protein, mTOR protein, LAMP1 protein and transcription factor EB. The body weight, blood glucose levels, testicular index of mice in each group were compared, as well as the testicular injury status.Results:The body weight [(18.77±1.14) g], testosterone level [(141.07±8.47) ng/L], follicle-stimulating hormone level [(9.19±0.74) U/L], and luteinizing hormone level [(1 497.91±99.57) pg/L] of mice in the model group were significantly lower than those in the control [(31.57±2.35) g, P<0.001; (171.50±11.76) ng/L, P<0.001; (12.46±1.54) U/L, P<0.001; (1 807.29±92.76) pg/L, P<0.001]; fasting blood glucose level [(20.82±1.11) mmol/L], glycosylated hemoglobin (12.67%±1.03%), the testis index (0.65%±0.03%) were significantly higher than those in the control [(6.40±1.34) mmol/L, P<0.001; 5.17%±1.17%, P<0.001; 0.48%±0.04%, P<0.001]. Compared with the model group, the body weight [(22.62±0.92) g, P=0.023], testosterone level [(172.63±9.20) ng/L, P<0.001], follicle-stimulating hormone level [(12.37±1.15) U/L, P<0.001], and luteinizing hormone level [(1 847.80±108.80) pg/L, P<0.001] of mice in the ginsenoside Rg1 group increased significantly, fasting blood glucose level [(18.63±1.14) mmol/L, P=0.017], glycosylated hemoglobin (8.50%±1.05%, P<0.001) and testicular index (0.54%±0.02%, P<0.001) decreased significantly. Compared with the control, the expressions of P62 ( P=0.039), LC3Ⅱ/LC3Ⅰ( P<0.001), Beclin1 ( P=0.002) and mTOR ( P=0.036) in the testicular tissue of mice in the model group all increased, the expression of β-Catenin ( P<0.001), LAMP1 ( P=0.005), transcription factor EB ( P<0.001) all decreased. Compared with the model group, the expressions of autophagy-related proteins P62 ( P=0.048), LC3Ⅱ/LC3Ⅰ( P<0.001) , Beclin1 ( P=0.023) and mTOR ( P=0.005) in the ginsenoside Rg1 group all decreased, while the expression of β-Catenin ( P=0.001), LAMP1 ( P=0.011) and transcription factor EB ( P=0.022) all increased. Transmission electron microscopy detected a decrease in the number of autophagosomes in the testicles of mice in the model group, and it improved after drug intervention. The HE staining showed that the testes of mice in the model group exhibited phenotypes such as the shedding and disorganization of spermatogenic cells, while ginsenoside Rg1 was able to improve these phenotypes. Conclusion:Ginsenoside Rg1 can improve testicular injury caused by diabetes in mice by regulating autophagy.

Objective:To explore the effect of ginsenoside Rg1 on spermatogenic dysfunction in mice caused by diabetes and its mechanism of action.Methods:Eighteen male C57BL mice were randomly divided into control group, the model group and the ginsenoside Rg1 group by completely random method, with 6 mice in each group. Type 2 diabetes models were established in the model group and the ginsenoside Rg1 group by a high-fat diet combined with intraperitoneal injection of streptozotocin, while control group was injected with the same amount of normal saline. After successful modeling, control group was given a regular diet for 8 weeks, while the model group and ginsenoside Rg1 group were given a high-fat diet for 8 weeks. The ginsenoside Rg1 group was also treated with ginsenoside Rg1 medication. Reproductive hormone levels were detected by enzyme-linked immunosorbent assay test kits, and Western blotting was used to detect the expressions of apoptosis-related proteins (Bcl2 protein, Caspase-3 protein, Bax protein), autophagy-related proteins (P62, LC3Ⅰ, LC3Ⅱ, Beclin1), β-Catenin protein, mTOR protein, LAMP1 protein and transcription factor EB. The body weight, blood glucose levels, testicular index of mice in each group were compared, as well as the testicular injury status.Results:The body weight [(18.77±1.14) g], testosterone level [(141.07±8.47) ng/L], follicle-stimulating hormone level [(9.19±0.74) U/L], and luteinizing hormone level [(1 497.91±99.57) pg/L] of mice in the model group were significantly lower than those in the control [(31.57±2.35) g, P<0.001; (171.50±11.76) ng/L, P<0.001; (12.46±1.54) U/L, P<0.001; (1 807.29±92.76) pg/L, P<0.001]; fasting blood glucose level [(20.82±1.11) mmol/L], glycosylated hemoglobin (12.67%±1.03%), the testis index (0.65%±0.03%) were significantly higher than those in the control [(6.40±1.34) mmol/L, P<0.001; 5.17%±1.17%, P<0.001; 0.48%±0.04%, P<0.001]. Compared with the model group, the body weight [(22.62±0.92) g, P=0.023], testosterone level [(172.63±9.20) ng/L, P<0.001], follicle-stimulating hormone level [(12.37±1.15) U/L, P<0.001], and luteinizing hormone level [(1 847.80±108.80) pg/L, P<0.001] of mice in the ginsenoside Rg1 group increased significantly, fasting blood glucose level [(18.63±1.14) mmol/L, P=0.017], glycosylated hemoglobin (8.50%±1.05%, P<0.001) and testicular index (0.54%±0.02%, P<0.001) decreased significantly. Compared with the control, the expressions of P62 ( P=0.039), LC3Ⅱ/LC3Ⅰ( P<0.001), Beclin1 ( P=0.002) and mTOR ( P=0.036) in the testicular tissue of mice in the model group all increased, the expression of β-Catenin ( P<0.001), LAMP1 ( P=0.005), transcription factor EB ( P<0.001) all decreased. Compared with the model group, the expressions of autophagy-related proteins P62 ( P=0.048), LC3Ⅱ/LC3Ⅰ( P<0.001) , Beclin1 ( P=0.023) and mTOR ( P=0.005) in the ginsenoside Rg1 group all decreased, while the expression of β-Catenin ( P=0.001), LAMP1 ( P=0.011) and transcription factor EB ( P=0.022) all increased. Transmission electron microscopy detected a decrease in the number of autophagosomes in the testicles of mice in the model group, and it improved after drug intervention. The HE staining showed that the testes of mice in the model group exhibited phenotypes such as the shedding and disorganization of spermatogenic cells, while ginsenoside Rg1 was able to improve these phenotypes. Conclusion:Ginsenoside Rg1 can improve testicular injury caused by diabetes in mice by regulating autophagy.

Objective To investigate the value of MRI radiomics for the preoperative noninvasive prediction of isocitrate dehydrogenase(IDH)mutation status in glioma.Methods Totally,306 glioma patients were retrospectively selected.All patients were randomly assigned into training group(n=214)and validation group(n=92)at a ratio of 7∶3.Region of interest(ROI)was manually delineated by two radiologists independently on the fluid attenuated inversion recovery(FLAIR)and contrast enhanced(CE)MRI images for obtaining whole volume of interest(VOI)of lesion.A total of 851 radiomics features were extracted from the VOI,respectively.The least absolute shrinkage and selection operator(LASSO)method was used for features dimension reduction combing 10-fold cross validation.Three Radiomics score(Radscore)were calculated by linear combination of retained features and their corresponding coefficients.The optimal Radscore and clinical characteristics were incorporated to perform logistic regression analysis for establishing the IDH mutation status noninvasive prediction model.A nomogram was plotted for realizing the visualization of model.The receiver operating characteristic(ROC)curve was plotted to evaluate the prediction performance of model.The calibration and clinical utility of the model were evaluated by calibration curve and decision curve.Results The area under the curve(AUC)of Radscore-combined based on combination of two sequences was 0.856 in the training group,which was superior to the Radscore-CE(AUC=0.821),Radscore-FLAIR(AUC=0.766)from single sequence,with consistent result in the validation group.The addition of clinical characteristics to the model improved predictive value with AUC,sensitivity and specificity of 0.898,79.59％,90.52％in the training group.Conclusion The radiomics model based on FLAIR and CE MRI contributes to preoperative noninvasive prediction of IDH mutation status in glioma.The combination of multi-sequence and the addition of clinical characteristics can improve the prediction performance.

Phosphodiesterase type 5(PDE5)participates in the physiological functions of multiple organs by regulating the nitric oxide(NO)-cyclic guanosine monophosphate(cGMP)pathway.As a long-acting PDE5 inhibitor,tadalafil has been used clinically for over 20 years and is approved for the treatment of male erectile dysfunction and lower urinary tract symptoms associated with benign prostatic hyperplasia.Furthermore,tadalafil maintains cGMP levels by inhibiting PDE5,thereby activa-ting the downstream NO-cGMP signaling pathway to exert multiple effects,including relaxing smooth muscle,exerting antioxidant actions,regulating apoptosis,and modulating metabolism.Clinical evidence indicates that tadalafil shows promising therapeutic potential in multi-organ system diseases such as pulmonary arterial hypertension,heart failure,type 2 diabetes,cognitive impair-ment,female infertility,and fetal growth restriction.This article systematically reviews the action mechanisms and research pro-gress of tadalafil in treating diseases beyond erectile dysfunction,aiming to summarize its potential for cross-disease system clini-cal applications and provide references for optimizing treatment strategies for patients with chronic diseases.