Objective:To investigate the composition of immune cells and fibroblastic reticular cells (FRCs) in the lymph nodes (LNs) follicles of human immunodeficiency virus (HIV)-infected individuals with varying immune statuses, and their association with HIV replication.Methods:Neck LNs samples were collected from 4 treatment-naive, newly diagnosed HIV-infected individuals with diverse immune statuses. RNA in situ sequencing was employed, with imaging achieved via rolling circle amplification and fluorescence labeling. By integrating cell segmentation and nuclear staining, single-cell data from up to one hundred thousand cells were generated per paraffin tissue section. Using lymphoid follicles as the unit of analysis, compositional changes in immune cells and FRCs were characterized, and their correlations with viral replication were evaluated. Results:The peripheral blood CD4 + T cell counts of samples LN_1, LN_2, LN_3, and LN_4 exhibited a sequential decrease. A total of 31, 15, 16, and 18 structurally intact follicles were identified in each sample, respectively. In the follicles of LN_1, the proportion of HIV-replicating cells positively correlated with cDCs abundance ( R2=0.2, P=0.011), and HIV RNA signals were spatially colocalized with cDCs and FRCs. In the follicles of LN_2, HIV RNA molecules showed preferential enrichment within FRCs. In sample LN_3, HIV RNA enrichment was observed in both cDCs and CD4 + T cells. In sample LN_4, the proportion of cells with HIV replication was positively correlated with the proportions of the following cells: cDCs ( R2=0.38, P=0.006 4), CD4 + T cells ( R2=0.28, P=0.025), and FRCs ( R2=0.26, P=0.029), and HIV RNA molecules were detected in cDCs, CD4 + T cells, and FRCs. LN_1 and LN_2 samples showed a trend toward negative correlation between HIV-replicating cell proportion and CD8 + T cells proportion. LN_4 sample demonstrated a significant positive correlation between HIV-replicating cell proportion and CD8 + T cells proportion ( R2=0.23, P=0.046). Conclusions:RNA in situ sequencing technology reveals unique distribution patterns of immune cells and viral replication in LNs follicles of HIV-infected individuals. The follicular immune microenvironment exhibits distinct characteristics associated with peripheral blood CD4 + T cell counts, providing novel insights into the spatial dynamics of HIV persistence and immune cell interactions during infection.

OBJECTIVES: To investigate the molecular mechanism by which salvianolic acid B (Sal-B) modulates mitochondrial functional homeostasis and alleviates myocardial ischemia-reperfusion (I/R) injury in mice. METHODS: Mouse cardiomyocyte HL-1 cells were pretreated with 5 μmol/L Sal-B with or without sh-Sirt1 transfection before exposure to hypoxia-reoxygenation (HR), and the changes in ATP production, mitochondrial superoxide activity, substrate oxidation level were evaluated. In the animal experiment, 36 C57BL/6J mice were randomized into 3 groups (n=12) for sham operation or ligation of the left anterior coronary artery to induce myocardial I/R injury with or without intravenous injection of Sal-B+I/R (50 mg/kg). In the rescue experiment, 60 adult C57BL/6J mice were randomized into 5 groups (n=12): sham-operated group, myocardial I/R group, Sal-B+I/R group, I/R+Sal-B+Sirt1fl/fl group, and I/R+Sal-B+cKO-Sirt1 group. Myocardial injury was evaluated with HE staining, and cardiac function was assessed by measurement of the ejection fraction and fractional shortening using echocardiography. RESULTS: In HL-1 cells with HR injury, Sal-B pretreatment significantly increased cellular ATP production, reduced mitochondrial superoxide anion levels, and enhanced oxygen consumption level. In the mouse models of myocardial I/R injury, Sal-B pretreatment markedly ameliorated I/R-induced structural disarray of the cardiac myocytes and improved cardiac ejection. Cycloheximide chase with Western blotting and ubiquitination assays after Sirt1-IP showed that Sal-B significantly inhibited Sirt1 degradation in HL-1 cells. Sirt1 knock-down reversed Sal-B-induced increases in ATP production, reduction in superoxide, and elevation of OCR in HL-1 cells. Cardiomyocyte-specific Sirt1 knockout obviously reversed Sal-B-mediated improvement in cardiac ejection function and myocardial structure damage in mice with myocardial I/R injury. CONCLUSIONS Sal-B promotes mitochondrial functional homeostasis in cardiomyocytes with HR injury and improves cardiac function in mice after myocardial I/R by inhibiting Sirt1 protein degradation.
Animals ; Sirtuin 1/metabolism* ; Myocardial Reperfusion Injury/physiopathology* ; Mice, Inbred C57BL ; Mice ; Myocytes, Cardiac/drug effects* ; Benzofurans/pharmacology* ; Homeostasis/drug effects* ; Male ; Mitochondria/drug effects* ; Depsides

Otitis media is an infection of the middle ear mainly caused by bacteria, and current treatments rely heavily on antibiotics. However, the emergence of antibiotic-resistant bacterial strains seriously affects their efficacy. In our study, we found that extracellular vesicles (EVs) derived from human natural killer cells (NKs) inhibit the proliferation of both standard and levofloxacin (LVX)-resistant strains of Staphylococcus aureus in a dose-dependent manner. Moreover, compared to LVX, EVs were more effective at reducing effusion and rescuing hearing thresholds in animal models. For LVX-sensitive strains, EVs were significantly more effective in terms of curative time but not curative rate. For LVX-resistant strains, EVs were significantly more effective in terms of both curative rate and curative time when applied alone or applied jointly with LVX. In summary, we found that NK EVs are highly effective in treating otitis media, providing an alternative approach for treating this common disease.
Killer Cells, Natural/metabolism* ; Exosomes/metabolism* ; Animals ; Humans ; Otitis Media/therapy* ; Staphylococcus aureus/drug effects* ; Disease Models, Animal ; Anti-Bacterial Agents/pharmacology* ; Levofloxacin/pharmacology*

Objective To construct a machine learning prediction model for diabetic kidney disease(DKD)in type 2 diabetes mellitus(T2DM)patients in the plain-sand and loess hilly areas of Gansu Province,and analyze the interpretability of the model.Methods A multi-stage stratified random sampling method was used to collect the data of T2DM patients in the two areas.After key feature screening,eight ML prediction models were constructed for the risk of DKD in the two areas.The receiver operating characteristic(ROC)curve,accuracy and F1 index were used to evaluate the model,and Shapley additive explanation(SHAP)algorithm was used for model interpretation.Results A total of 1599 patients with T2DM were enrolled in this study.After feature screening,ten variables were selected for model construction in the plain-sand areas.Among the eight models,the gradient boosting decision tree(GBDT)model had the highest prediction efficiency.The area under the curve(AUC)of the test dataset was 0.972,the accuracy was 0.949,and the F1 index was 0.884.In the loess hilly region,12 variables were included in the model,and the best model was the random forest(RF).The AUC of the test set was 0.966,the accuracy was 0.951,and the F1 index was 0.861.SHAP analysis showed that in addition to serum creatinine,age,LDL-C,HbA1c,DM duration,serum uric acid and urinary microalbumin were also closely related to the high risk of DKD.Conclusions The GBDT and RF models have good predictive efficiency for the occurrence of DKD in the two areas,which can be used for the screening of DKD high-risk populations and the in-depth exploration of potential risk factors in the two areas.

ObjectiveTo investigate the accuracy of multiple discriminant analysis （MDA） versus fibrosis-4 （FIB-4） in assessing liver fibrosis degree in patients with HBV infection， as well as the possibility of MDA as an indicator for disease progression. MethodsA total of 263 patients with HBV infection who underwent liver biopsy in The First Affiliated Hospital of Guangxi Medical University from April 2010 to April 2024 were included， and their clinical data were collected. According to the results of pathological examination， they were divided into non-significant fibrosis group （F<2） with 126 patients and significant fibrosis group （F≥2） with 137 patients. The correlation of MDA and FIB-4 with liver fibrosis degree was analyzed， and MDA and FIB-4 were compared in terms of their accuracy in assessing significant liver fibrosis. A total of 62 patients completed follow-up， and according to the presence or absence of progression to liver cirrhosis at the last follow-up visit， they were divided into progressive group with 21 patients and non-progressive group with 41 patients； the efficacy of MDA and FIB-4 in diagnosing disease progression was analyzed and compared. The independent-samples t test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the Kruskal-Wallis H test was used for comparison between multiple groups， and the Bonferroni method was used for further comparison between two groups. The chi-square test was used for comparison of categorical data. The Spearman’s correlation coefficient was used for correlation analysis. The Wilcoxon signed rank sum test was used for the analysis of baseline data and data at the end of follow-up， and the binary Logistic regression analysis was used to investigate the influencing factors for progression to liver cirrhosis. The receiver operating characteristic （ROC） curve was used to investigate the diagnostic efficacy of indicators， the Z-test was used for comparison of the area under the ROC curve （AUC）， and the paired chi-square test was used for comparison of the sensitivity， specificity， and accuracy of the two indicators. ResultsThe correlation coefficient between FIB-4 and liver fibrosis degree was 0.378， while the correlation coefficient between MDA and liver fibrosis degree was -0.325 （both P<0.001）. FIB-4 had an AUC of 0.688， a sensitivity of 64.96%， a specificity of 68.87%， a positive predictive value of 67.42%， a negative predictive value of 63.36%， an accuracy of 65.40%， and a cut-off value of 1.01， while MDA had an AUC of 0.653， a sensitivity of 52.55%， a specificity of 78.57%， a positive predictive value of 72.73%， a negative predictive value of 60.37%， an accuracy of 65.02%， and a cut-off value of 0.29， suggesting that compared with FIB-4， MDA had a lower sensitivity （P=0.004） and a higher specificity （P=0.001）. The progressive group had a significantly higher age than the non-progressive group at baseline （t=2.611， P=0.011）. For the progressive group， there was an increase in FIB-4 and a reduction in MDA from baseline to the end of follow-up （both P<0.001）， while the non-progressive group showed no significant changes （both P>0.05）. The multivariate Logistic regression analysis showed that aspartate aminotransferase （odds ratio ［OR］=0.940， 95% confidence interval ［CI］： 0.885‍ ‍—‍ ‍0.998， P<0.05） and MDA （OR=0.445， 95%CI： 0.279‍ ‍—‍ ‍0.710， P<0.001） were independent influencing factors for disease progression. MDA had an AUC of 0.893 and an optimal cut-off value of -0.01 in diagnosing the disease progression of liver cirrhosis. ConclusionMDA has a comparable accuracy to FIB-4 in the diagnosis of significant liver fibrosis， and MDA<-0.01 has a high accuracy in diagnosing the progression of liver fibrosis to liver cirrhosis， which can help to reduce the need for liver biopsy in clinical practice.

Objective To explore syndrome and treatment law of TCM in treating pediatric pneumonia convalescence;To provide references for clinical syndrome differentiation and treatment.Methods The relevant literature about TCM in treating pediatric pneumonia convalescence was retrieved from CNKI,SinoMed,VIP,Wanfang Data and PubMed from the establishment of the databases to December 31,2024.Diagnostic basis,syndrome elements and TCM prescription information were extracted.Excel 2021 was used for frequency statistics,SPSS Modeler 18.0 was used for association rule analysis,Gephi 0.10.1 was used to complete complex network analysis,and Origin 2025 was used for data visualization.Results A total of 171 articles were included.Diagnosis basis predominantly involved symptoms,signs and course of the disease.TCM syndrome element distribution predominantly involved the lung,spleen,qi deficiency,yin deficiency,phlegm,dampness,blood stasis and heat,often presenting as a mixture of deficiency and excess patterns.A total of 98 prescriptions were collected,with high-frequency herbs primarily including tonifying and deficiency-replenishing herbs,and phlegm-resolving and antitussive herbs.The herbal properties and tastes were mainly warm,neutral,slightly cold,and sweet,bitter,pungent,primarily associated with the lung and spleen meridians.Complex network analysis identified three core patterns of syndrome-herb interactions.Conclusion The diagnosis of pediatric pneumonia convalescence relies on symptoms,signs and course of the disease as key criteria.The syndrome is often characterized by a deficiency-excess complex.Treatment should integrate the dynamic interactions among syndrome elements and adjust the balance between reinforcing healthy qi and eliminating pathogens based on the proportional weight of deficiency and excess.For deficiency patterns,it is necessary to focus on tonifying qi and nourishing yin.For concurrent syndromes or pathological factors,additional methods such as resolving phlegm,clearing heat,regulating qi,drying dampness,promoting digestion,cooling blood,and activating blood circulation may be incorporated.

Objective To construct a machine learning prediction model for diabetic kidney disease(DKD)in type 2 diabetes mellitus(T2DM)patients in the plain-sand and loess hilly areas of Gansu Province,and analyze the interpretability of the model.Methods A multi-stage stratified random sampling method was used to collect the data of T2DM patients in the two areas.After key feature screening,eight ML prediction models were constructed for the risk of DKD in the two areas.The receiver operating characteristic(ROC)curve,accuracy and F1 index were used to evaluate the model,and Shapley additive explanation(SHAP)algorithm was used for model interpretation.Results A total of 1599 patients with T2DM were enrolled in this study.After feature screening,ten variables were selected for model construction in the plain-sand areas.Among the eight models,the gradient boosting decision tree(GBDT)model had the highest prediction efficiency.The area under the curve(AUC)of the test dataset was 0.972,the accuracy was 0.949,and the F1 index was 0.884.In the loess hilly region,12 variables were included in the model,and the best model was the random forest(RF).The AUC of the test set was 0.966,the accuracy was 0.951,and the F1 index was 0.861.SHAP analysis showed that in addition to serum creatinine,age,LDL-C,HbA1c,DM duration,serum uric acid and urinary microalbumin were also closely related to the high risk of DKD.Conclusions The GBDT and RF models have good predictive efficiency for the occurrence of DKD in the two areas,which can be used for the screening of DKD high-risk populations and the in-depth exploration of potential risk factors in the two areas.

Objective To explore syndrome and treatment law of TCM in treating pediatric pneumonia convalescence;To provide references for clinical syndrome differentiation and treatment.Methods The relevant literature about TCM in treating pediatric pneumonia convalescence was retrieved from CNKI,SinoMed,VIP,Wanfang Data and PubMed from the establishment of the databases to December 31,2024.Diagnostic basis,syndrome elements and TCM prescription information were extracted.Excel 2021 was used for frequency statistics,SPSS Modeler 18.0 was used for association rule analysis,Gephi 0.10.1 was used to complete complex network analysis,and Origin 2025 was used for data visualization.Results A total of 171 articles were included.Diagnosis basis predominantly involved symptoms,signs and course of the disease.TCM syndrome element distribution predominantly involved the lung,spleen,qi deficiency,yin deficiency,phlegm,dampness,blood stasis and heat,often presenting as a mixture of deficiency and excess patterns.A total of 98 prescriptions were collected,with high-frequency herbs primarily including tonifying and deficiency-replenishing herbs,and phlegm-resolving and antitussive herbs.The herbal properties and tastes were mainly warm,neutral,slightly cold,and sweet,bitter,pungent,primarily associated with the lung and spleen meridians.Complex network analysis identified three core patterns of syndrome-herb interactions.Conclusion The diagnosis of pediatric pneumonia convalescence relies on symptoms,signs and course of the disease as key criteria.The syndrome is often characterized by a deficiency-excess complex.Treatment should integrate the dynamic interactions among syndrome elements and adjust the balance between reinforcing healthy qi and eliminating pathogens based on the proportional weight of deficiency and excess.For deficiency patterns,it is necessary to focus on tonifying qi and nourishing yin.For concurrent syndromes or pathological factors,additional methods such as resolving phlegm,clearing heat,regulating qi,drying dampness,promoting digestion,cooling blood,and activating blood circulation may be incorporated.

Objective:To investigate the composition of immune cells and fibroblastic reticular cells (FRCs) in the lymph nodes (LNs) follicles of human immunodeficiency virus (HIV)-infected individuals with varying immune statuses, and their association with HIV replication.Methods:Neck LNs samples were collected from 4 treatment-naive, newly diagnosed HIV-infected individuals with diverse immune statuses. RNA in situ sequencing was employed, with imaging achieved via rolling circle amplification and fluorescence labeling. By integrating cell segmentation and nuclear staining, single-cell data from up to one hundred thousand cells were generated per paraffin tissue section. Using lymphoid follicles as the unit of analysis, compositional changes in immune cells and FRCs were characterized, and their correlations with viral replication were evaluated. Results:The peripheral blood CD4 + T cell counts of samples LN_1, LN_2, LN_3, and LN_4 exhibited a sequential decrease. A total of 31, 15, 16, and 18 structurally intact follicles were identified in each sample, respectively. In the follicles of LN_1, the proportion of HIV-replicating cells positively correlated with cDCs abundance ( R2=0.2, P=0.011), and HIV RNA signals were spatially colocalized with cDCs and FRCs. In the follicles of LN_2, HIV RNA molecules showed preferential enrichment within FRCs. In sample LN_3, HIV RNA enrichment was observed in both cDCs and CD4 + T cells. In sample LN_4, the proportion of cells with HIV replication was positively correlated with the proportions of the following cells: cDCs ( R2=0.38, P=0.006 4), CD4 + T cells ( R2=0.28, P=0.025), and FRCs ( R2=0.26, P=0.029), and HIV RNA molecules were detected in cDCs, CD4 + T cells, and FRCs. LN_1 and LN_2 samples showed a trend toward negative correlation between HIV-replicating cell proportion and CD8 + T cells proportion. LN_4 sample demonstrated a significant positive correlation between HIV-replicating cell proportion and CD8 + T cells proportion ( R2=0.23, P=0.046). Conclusions:RNA in situ sequencing technology reveals unique distribution patterns of immune cells and viral replication in LNs follicles of HIV-infected individuals. The follicular immune microenvironment exhibits distinct characteristics associated with peripheral blood CD4 + T cell counts, providing novel insights into the spatial dynamics of HIV persistence and immune cell interactions during infection.

ObjectiveTo investigate the performance of fibrosis-4 （FIB-4） versus aspartate aminotransferase-to-platelet ratio index （APRI） in predicting advanced liver fibrosis and disease progression in patients with chronic HBV infection. MethodsA total of 497 patients with chronic HBV infection who underwent liver biopsy in The First Affiliated Hospital of Guangxi Medical University from February 2013 to December 2022 were enrolled， among whom 404 were enrolled in a retrospective study and 75 were enrolled in a prospective study. Related indicators were collected， including demographic features （sex and age）， biochemical indices （alanine aminotransferase ［ALT］ and aspartate aminotransferase ［AST］）， and platelet count， and FIB-4 and APRI were calculated. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the Kruskal-Wallis H test was used for comparison between multiple groups； the chi-square test was used for comparison of categorical data between groups. The area under the ROC curve （AUC） was used to assess the ability of APRI and FIB-4 in evaluating liver fibrosis degree and disease progression in patients with chronic HBV infection. ResultsIn the retrospective analysis， compared with the FIB-4<2.67 group， the FIB-4≥2.67 group had a significantly higher proportion of the patients who were diagnosed with liver cirrhosis or hepatocellular carcinoma （66.19% vs 47.54%， χ²=12.75， P<0.001）. The medians of FIB-4 and APRI increased significantly with liver fibrosis degree from F0 to F4 （H=42.5 and 35.9， both P<0.001）. As for the fibrosis stage of F0-F4， the median of FIB-4 was significantly higher than that of APRI in the patients with the same fibrosis stage （H=59.71， P<0.001）. FIB-4 and APRI had a similar AUC for predicting stage F3 fibrosis （0.67 vs 0.65， Z=0.71， P=0.480）， while FIB-4 had a higher AUC for predicting stage F4 fibrosis than APRI （0.72 vs 0.64， Z=10.50， P<0.001）. In the prospective study cohort， FIB-4 and APRI showed an increasing trend over time in predicting disease progression （chronic hepatitis B to liver cirrhosis）， with an AUC of 0.718 （95% confidence interval ［CI］： 0.476‍ ‍—‍ ‍0.760） and 0.555 （95%CI： 0.408‍ ‍—‍ ‍0.703）， respectively， and FIB-4 had a significantly higher accuracy than APRI in predicting disease progression （χ²=12.44， P<0.001）. ConclusionFIB-4 and APRI can be used to evaluate advanced liver fibrosis （F3 and F4） and predict disease progression， and FIB-4 is superior to APRI in certain aspects.