OBJECTIVES: To explore the mechanism of Qingda Granules (QDG) for alleviating brain damage in spontaneously hypertensive rats (SHRs). METHODS: Twelve 5-week-old SHRs were randomized into SHR control group and SHR+QDG group treated with QDG by gavage at the daily dose of 0.9 g/kg for 12 weeks. The control rats, along with 6 age-matched WKY rats, were treated with saline only. Blood pressure changes of the rats were monitored, and pathologies and neuronal apoptosis in the cerebral cortex were examined with HE staining and TUNEL staining. Cerebral cortical expressions of miR-124 and STAT3 mRNA were detected using RT-qPCR, and the protein expressions of NeuN, STAT3, Bcl-2, Bax, and cleaved caspase-3 were detected with immunohistochemistry and Western blotting. In a HT22 cell model of oxygen and glucose deprivation/reoxygenation (OGD/R), the effects of QDG on cell viability and apoptosis, expressions of miR-124 and STAT3 mRNA, and protein expressions of STAT3, Bcl-2, Bax, and cleaved caspase-3 were evaluated using CCK8 assay, Hoechst 33342 staining, RT-qPCR, and Western blotting. RESULTS: Compared with WKY rats, SHRs had significantly elevated systolic blood pressure, diastolic blood pressure and mean arterial pressure with significantly increased neuronal apoptosis in the cerebral cortex, reduced expressions of NeuN, miR-124 and Bcl-2, and enhanced expressions of STAT3, Bax and cleaved caspase-3 (P<0.05). All these changes in the SHRs were significantly ameliorated by treatment with QDG (P<0.05). In the HT22 cell model, QDG treatment obviously reduced OGD/R-induced cell apoptosis, increased the expressions of miR-124 and Bcl-2, and suppressed the elevation of protein expressions of STAT3, Bax and cleaved caspase-3. CONCLUSIONS QDG inhibits cerebral cortical neuronal apoptosis and thereby attenuates brain damage in SHR rats by modulating the miR-124/STAT3 signaling axis.
Animals ; Rats, Inbred SHR ; MicroRNAs/metabolism* ; STAT3 Transcription Factor/metabolism* ; Signal Transduction/drug effects* ; Drugs, Chinese Herbal/pharmacology* ; Rats ; Apoptosis/drug effects* ; Rats, Inbred WKY ; Male ; Hypertension

Objective To explore the mechanism of Qingda Granules(QDG)for alleviating brain damage in spontaneously hypertensive rats(SHRs).Methods Twelve 5-week-old SHRs were randomized into SHR control group and SHR+QDG group treated with QDG by gavage at the daily dose of 0.9 g/kg for 12 weeks.The control rats,along with 6 age-matched WKY rats,were treated with saline only.Blood pressure changes of the rats were monitored,and pathologies and neuronal apoptosis in the cerebral cortex were examined with HE staining and TUNEL staining.Cerebral cortical expressions of miR-124 and STAT3 mRNA were detected using RT-qPCR,and the protein expressions of NeuN,STAT3,Bcl-2,Bax,and cleaved caspase-3 were detected with immunohistochemistry and Western blotting.In a HT22 cell model of oxygen and glucose deprivation/reoxygenation(OGD/R),the effects of QDG on cell viability and apoptosis,expressions of miR-124 and STAT3 mRNA,and protein expressions of STAT3,Bcl-2,Bax,and cleaved caspase-3 were evaluated using CCK8 assay,Hoechst 33342 staining,RT-qPCR,and Western blotting.Results Compared with WKY rats,SHRs had significantly elevated systolic blood pressure,diastolic blood pressure and mean arterial pressure with significantly increased neuronal apoptosis in the cerebral cortex,reduced expressions of NeuN,miR-124 and Bcl-2,and enhanced expressions of STAT3,Bax and cleaved caspase-3(P＜0.05).All these changes in the SHRs were significantly ameliorated by treatment with QDG(P＜0.05).In the HT22 cell model,QDG treatment obviously reduced OGD/R-induced cell apoptosis,increased the expressions of miR-124 and Bcl-2,and suppressed the elevation of protein expressions of STAT3,Bax and cleaved caspase-3.Conclusion QDG inhibits cerebral cortical neuronal apoptosis and thereby attenuates brain damage in SHR rats by modulating the miR-124/STAT3 signaling axis.

BACKGROUND:Early diagnosis of pulmonary fibrosis is the foundation for timely antifibrotic drug therapy.Therefore,exploring and discovering ideal biomarkers that can be effectively used for the early diagnosis of pulmonary fibrosis is crucial for the treatment of the disease.OBJECTIVE:To conduct an in-depth analysis of key autophagy-related genes involved in the process of pulmonary fibrosis by means of bioinformatics and machine learning techniques,in order to investigate whether autophagy-related core genes of pulmonary fibrosis can be used as reliable biomarkers in the assessment of the progression of pulmonary fibrosis.METHODS:Two datasets of pulmonary fibrosis,GSE24206 and GSE110147,were downloaded from the Gene Expression Omnibus(GEO)database(a public database developed and maintained by the U.S.National Center for Biotechnology Information to store and share bioinformatics data),and the gene expression matrices of these two datasets were normalized by using the"limma"package in R software.The autophagy-related genes were extracted from GeneCards database(a database created by the U.S.National Center for Biotechnology Information,which automatically integrates gene-centric data from about 200 Web sources,including genomic,transcriptomic,proteomic,genetic,clinical,and functional information).Differential gene analysis was performed on the pulmonary fibrosis dataset,and the common genes were extracted by cross-comparing the differential genes with the autophagy genes,so as to identify autophagy genes that may play a role in the process of pulmonary fibrosis.The intersecting genes were analyzed for functional enrichment and cellular immune infiltration by gene ontology and Kyoto Encyclopedia of Genes and Genomes.Core genes of pulmonary fibrosis associated with autophagy were screened by protein-protein interactions and machine learning,and core genes were subjected to the enrichment analysis.Diagnostic models were constructed from the identified core genes.Calibration curves were used to assess the predictive ability of the line graph model.An external dataset,GSE21369,was used to perform a receiver operating characteristic curve analysis to validate the expression profiles of pulmonary fibrosis genes associated with autophagy,as well as to predict Chinese herbs associated with the genes IL6 and COL1A2 via the Coremine database.Finally,human embryonic lung fibroblasts were cultured and modelled by transforming growth factor-β1 treatment,and the relative expression of genes in the model cells was verified using qRT-PCR.RESULTS AND CONCLUSION:(1)A total of 51 pulmonary fibrosis differential genes and 25 genes intersecting with autophagy genes were obtained.Gene ontology analysis showed that the 25 intersecting genes were related to extracellular matrix tissue,collagen metabolism,collagen pro-fibroblasts,and growth factor binding,etc.The results of Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that they were mainly related to the Phosphatidylinositol 3-kinase/protein kinase B signaling pathway and the signaling pathway of the extracellular matrix-receptor interactions.(2)Immunoinfiltration analysis revealed that the expression of activated memory CD4+T cells,M0 macrophages,and resting dendritic cells was significantly elevated in the pulmonary fibrosis group(P＜0.05),showing a strong correlation.(3)Two autophagy signature genes involved in the progression of pulmonary fibrosis were identified:COL1A2 and IL6.The column-line diagram model showed that the two core genes predicted the onset of pulmonary fibrosis more accurately,and the receiver operating characteristic curve analysis showed that the two characteristic genes had diagnostic significance.COL1A2 and IL6 were related to the cell-cycle pathway,mitogen-activated protein kinase signaling pathway,Janus kinase-signal transduction and activator of transcription signaling pathway and cytokine-cytokine receptor interactions.A total of 20 Chinese herbs were predicted to be related to COL1A2 and IL6 genes,and their efficacies were mainly to clear away heat and detoxify toxins and to invigorate blood and move qi.COL1A2 and IL6 were verified to be highly expressed in pulmonary fibrosis.To conclude,COL1A2 and IL6 may be potential diagnostic biomarkers for pulmonary fibrosis,but its specificity to pulmonary fibrosis needs to be further investigated.

Objective To investigate the mechanism of action and potential biomarkers of Jiangzhi Qingshen capsules in the treatment of dyslipidaemia based on clinical lipid metabolomics.Methods 30 patients with dyslipidaemia from Zhengzhou Hospital of Chinese Medicine were collected as the test group,and their lipid levels before and after taking Jiang Zhi Qing Shen capsule for 12 weeks were compared.Another 30 healthy patients were enrolled in the physical examination department of Zhengzhou Hospital of Chinese Medicine,and metabolomics investigation was carried out on plasma samples of the test group before and after the treatment as well as those of the healthy patients by LC-MS/MS technology.The differences between the groups were compared by multivariate statistical analysis,and the potential biomarkers were identified by HMDB and lipidblast databases,so as to clarify the possible pathways and targets for the treatment of mild dyslipidaemia by Jiangzhi Qingshen capsules.Results Jiangzhi Qingshen capsules could improve patients' blood lipid level,BMI and abdominal circumference significantly(P<0.05).And metabolomics results showed that 29 lipid metabolites in the plasma of the treated patients were dialled back,which involved cholesterol metabolism,fat digestion and absorption,glycerol-phospholipid metabolism and other biological processes.Conclusion The efficacy of Jiangzhi Qingshen capsules in treating dyslipidaemia was confirmed,and its mechanism of action might be related to the regulation of lipid metabolism.Metabolites such as acylcarnitine(Acar),phosphatidylethanolamine(PE)and phosphatidylcholine(PC)were expected to be used as the biomarkers of dyslipidaemia,so as to provide objective scientific basis for the lipid-lowering capsule,and to facilitate the promotion of its application.

Objective To investigate the mechanism of action and potential biomarkers of Jiangzhi Qingshen capsules in the treatment of dyslipidaemia based on clinical lipid metabolomics.Methods 30 patients with dyslipidaemia from Zhengzhou Hospital of Chinese Medicine were collected as the test group,and their lipid levels before and after taking Jiang Zhi Qing Shen capsule for 12 weeks were compared.Another 30 healthy patients were enrolled in the physical examination department of Zhengzhou Hospital of Chinese Medicine,and metabolomics investigation was carried out on plasma samples of the test group before and after the treatment as well as those of the healthy patients by LC-MS/MS technology.The differences between the groups were compared by multivariate statistical analysis,and the potential biomarkers were identified by HMDB and lipidblast databases,so as to clarify the possible pathways and targets for the treatment of mild dyslipidaemia by Jiangzhi Qingshen capsules.Results Jiangzhi Qingshen capsules could improve patients' blood lipid level,BMI and abdominal circumference significantly(P<0.05).And metabolomics results showed that 29 lipid metabolites in the plasma of the treated patients were dialled back,which involved cholesterol metabolism,fat digestion and absorption,glycerol-phospholipid metabolism and other biological processes.Conclusion The efficacy of Jiangzhi Qingshen capsules in treating dyslipidaemia was confirmed,and its mechanism of action might be related to the regulation of lipid metabolism.Metabolites such as acylcarnitine(Acar),phosphatidylethanolamine(PE)and phosphatidylcholine(PC)were expected to be used as the biomarkers of dyslipidaemia,so as to provide objective scientific basis for the lipid-lowering capsule,and to facilitate the promotion of its application.

BACKGROUND:Early diagnosis of pulmonary fibrosis is the foundation for timely antifibrotic drug therapy.Therefore,exploring and discovering ideal biomarkers that can be effectively used for the early diagnosis of pulmonary fibrosis is crucial for the treatment of the disease.OBJECTIVE:To conduct an in-depth analysis of key autophagy-related genes involved in the process of pulmonary fibrosis by means of bioinformatics and machine learning techniques,in order to investigate whether autophagy-related core genes of pulmonary fibrosis can be used as reliable biomarkers in the assessment of the progression of pulmonary fibrosis.METHODS:Two datasets of pulmonary fibrosis,GSE24206 and GSE110147,were downloaded from the Gene Expression Omnibus(GEO)database(a public database developed and maintained by the U.S.National Center for Biotechnology Information to store and share bioinformatics data),and the gene expression matrices of these two datasets were normalized by using the"limma"package in R software.The autophagy-related genes were extracted from GeneCards database(a database created by the U.S.National Center for Biotechnology Information,which automatically integrates gene-centric data from about 200 Web sources,including genomic,transcriptomic,proteomic,genetic,clinical,and functional information).Differential gene analysis was performed on the pulmonary fibrosis dataset,and the common genes were extracted by cross-comparing the differential genes with the autophagy genes,so as to identify autophagy genes that may play a role in the process of pulmonary fibrosis.The intersecting genes were analyzed for functional enrichment and cellular immune infiltration by gene ontology and Kyoto Encyclopedia of Genes and Genomes.Core genes of pulmonary fibrosis associated with autophagy were screened by protein-protein interactions and machine learning,and core genes were subjected to the enrichment analysis.Diagnostic models were constructed from the identified core genes.Calibration curves were used to assess the predictive ability of the line graph model.An external dataset,GSE21369,was used to perform a receiver operating characteristic curve analysis to validate the expression profiles of pulmonary fibrosis genes associated with autophagy,as well as to predict Chinese herbs associated with the genes IL6 and COL1A2 via the Coremine database.Finally,human embryonic lung fibroblasts were cultured and modelled by transforming growth factor-β1 treatment,and the relative expression of genes in the model cells was verified using qRT-PCR.RESULTS AND CONCLUSION:(1)A total of 51 pulmonary fibrosis differential genes and 25 genes intersecting with autophagy genes were obtained.Gene ontology analysis showed that the 25 intersecting genes were related to extracellular matrix tissue,collagen metabolism,collagen pro-fibroblasts,and growth factor binding,etc.The results of Kyoto Encyclopedia of Genes and Genomes enrichment analysis indicated that they were mainly related to the Phosphatidylinositol 3-kinase/protein kinase B signaling pathway and the signaling pathway of the extracellular matrix-receptor interactions.(2)Immunoinfiltration analysis revealed that the expression of activated memory CD4+T cells,M0 macrophages,and resting dendritic cells was significantly elevated in the pulmonary fibrosis group(P＜0.05),showing a strong correlation.(3)Two autophagy signature genes involved in the progression of pulmonary fibrosis were identified:COL1A2 and IL6.The column-line diagram model showed that the two core genes predicted the onset of pulmonary fibrosis more accurately,and the receiver operating characteristic curve analysis showed that the two characteristic genes had diagnostic significance.COL1A2 and IL6 were related to the cell-cycle pathway,mitogen-activated protein kinase signaling pathway,Janus kinase-signal transduction and activator of transcription signaling pathway and cytokine-cytokine receptor interactions.A total of 20 Chinese herbs were predicted to be related to COL1A2 and IL6 genes,and their efficacies were mainly to clear away heat and detoxify toxins and to invigorate blood and move qi.COL1A2 and IL6 were verified to be highly expressed in pulmonary fibrosis.To conclude,COL1A2 and IL6 may be potential diagnostic biomarkers for pulmonary fibrosis,but its specificity to pulmonary fibrosis needs to be further investigated.

Objective To investigate whether modification with IL-21 and CCL19 enhances killing and tumor-infiltrating efficiency of NKP30 CAR-T cells in lung cancer.Methods The modified IL-21-CCL19 NKP30 CAR-T cells expressing IL-21 and CCL19 fusion gene was constructed based on NKP30 CAR-T cells and stimulated with CD3CD28 antibodies and IL-2.The immunophenotype and migration of the cells in the presence of IL-21 were investigated using flow cytometry and migration experiments.Lactate dehydrogenase(LDH)release and sphere formation assays were used to assess the killing and infiltration capabilities of CAR-T cells,and the secretion levels of IFN-γ,IL-21 and CCL19 were determined with enzyme-linked immunospot assay(ELISPOT)and ELISA.A zebrafish model bearing HCG-27 cell xenograft was established by microinjection of the tumor cells into the yolk sac followed 24 h later by injection of the immune cells at the same site,and the fluorescence signals were captured using a fluorescent microscopy.Results The NKP30 ligand B7H6,which was almost undetectable in normal tissues and blood cells,was highly expressed(over 90%)in lung cancer cells.Compared with NKP30 CAR-T cells and conventional T cells,IL-21-CCL19 NKP30 CAR-T cells exhibited stronger proliferative and migration capabilities with the formation of central memory T cells.The reduced expressions of CTLA4 and PD1 in the constructed cells resulted in enhanced killing efficiency against lung cancer cells accompanied by significantly increased production of IFN-γ,IL-21 and CCL19.In the zebrafish models,CAR-T cells exhibited stronger cytotoxicity and proliferative abilities than typical T cells,but these differences were not statistically significant between the two CAR-T cells.Conclusion Modification of NKP30 CAR-T cells with IL-21 and CCL19 facilitates their access into solid tumors for more effective tumor cell killing while producing a large number of memory T cells.

Objective To investigate whether modification with IL-21 and CCL19 enhances killing and tumor-infiltrating efficiency of NKP30 CAR-T cells in lung cancer.Methods The modified IL-21-CCL19 NKP30 CAR-T cells expressing IL-21 and CCL19 fusion gene was constructed based on NKP30 CAR-T cells and stimulated with CD3CD28 antibodies and IL-2.The immunophenotype and migration of the cells in the presence of IL-21 were investigated using flow cytometry and migration experiments.Lactate dehydrogenase(LDH)release and sphere formation assays were used to assess the killing and infiltration capabilities of CAR-T cells,and the secretion levels of IFN-γ,IL-21 and CCL19 were determined with enzyme-linked immunospot assay(ELISPOT)and ELISA.A zebrafish model bearing HCG-27 cell xenograft was established by microinjection of the tumor cells into the yolk sac followed 24 h later by injection of the immune cells at the same site,and the fluorescence signals were captured using a fluorescent microscopy.Results The NKP30 ligand B7H6,which was almost undetectable in normal tissues and blood cells,was highly expressed(over 90%)in lung cancer cells.Compared with NKP30 CAR-T cells and conventional T cells,IL-21-CCL19 NKP30 CAR-T cells exhibited stronger proliferative and migration capabilities with the formation of central memory T cells.The reduced expressions of CTLA4 and PD1 in the constructed cells resulted in enhanced killing efficiency against lung cancer cells accompanied by significantly increased production of IFN-γ,IL-21 and CCL19.In the zebrafish models,CAR-T cells exhibited stronger cytotoxicity and proliferative abilities than typical T cells,but these differences were not statistically significant between the two CAR-T cells.Conclusion Modification of NKP30 CAR-T cells with IL-21 and CCL19 facilitates their access into solid tumors for more effective tumor cell killing while producing a large number of memory T cells.

Hypertrophic cardiomyopathy (HCM) is the most common inherited heart disease and is characterized by primary left ventricular hypertrophy usually caused by mutations in sarcomere genes. The mechanism underlying cardiac remodeling in HCM remains incompletely understood. An investigation of HCM through integrative analysis at multi-omics levels will be helpful for treating HCM. DNA methylation and chromatin accessibility, as well as gene expression, were assessed by nucleosome occupancy and methylome sequencing (NOMe-seq) and RNA-seq, respectively, using the cardiac tissues of HCM patients. Compared with those of the controls, the transcriptome, DNA methylome, and chromatin accessibility of the HCM myocardium showed multifaceted differences. At the transcriptome level, HCM hearts returned to the fetal gene program through decreased sarcomeric and metabolic gene expression and increased extracellular matrix gene expression. In the DNA methylome, hypermethylated and hypomethylated differentially methylated regions were identified in HCM. At the chromatin accessibility level, HCM hearts showed changes in different genome elements. Several transcription factors, including SP1 and EGR1, exhibited a fetal-like pattern of binding motifs in nucleosome-depleted regions in HCM. In particular, the inhibition of SP1 or EGR1 in an HCM mouse model harboring sarcomere mutations markedly alleviated the HCM phenotype of the mutant mice and reversed fetal gene reprogramming. Overall, this study not only provides a high-precision multi-omics map of HCM heart tissue but also sheds light on the therapeutic strategy by intervening in the fetal gene reprogramming in HCM.
Cardiomyopathy, Hypertrophic/metabolism* ; Humans ; Animals ; DNA Methylation ; Mice ; Transcriptome ; Chromatin/genetics* ; Early Growth Response Protein 1/metabolism* ; Male ; Epigenome ; Nucleosomes/genetics* ; Female ; Middle Aged ; Disease Models, Animal ; Adult

Objective: To examine the dose-response association between cardiorespiratory fitness ( CRF ) and the risk of cardiovascular and cerebrovascular diseases. Methods: A joint search was performed in Chinese and English electronic databases, including China National Knowledge Infrastructure ( CNKI ) , Wanfang Data, VIP, CBM, PubMed, Embase and Web of Science, to retrieve publications reporting the correlation between CRF and the risk of cardiovascular and cerebrovascular diseases until May, 2021. The pooled risk was estimated using the random effects model, and the dose-response association was evaluated using restricted cubic splines. The source of heterogeneity was assessed by subgroup analysis, and the stability of the results was tested by the trim-and-fill method, while the publication bias was assessed using funnel plots. Results: Totally 37 280 literatures were identified, and 23 eligible studies were finally included in the analysis, which covered 2 605 622 subjects. There were 22 publications identified as high-quality. Meta-analysis revealed that the pooled risk of cardiovascular and cerebrovascular diseases reduced by 42% in the highest CRF group relative to the lowest CRF group ( OR=0.58, 95%CI: 0.52-0.65 ), and a one metabolic equivalent ( MET ) increase in CRF caused a 10% reduction in the pooled risk of cardiovascular and cerebrovascular diseases ( OR=0.90, 95%CI: 0.88-0.92 ). There was a negative linear correlation between CRF and the incidence of cardiovascular and cerebrovascular diseases ( P=0.396 ). Subgroup analysis identified gender, sample size and study regions as possible sources of heterogeneity, and sensitivity analysis showed that the study results were stable. Conclusions There is a negative linear correlation between CRF and the risk of cardiovascular and cerebrovascular diseases, and an increase in CRF may reduce the risk of cardiovascular and cerebrovascular diseases.