1.Study on CD36 gene expression in megakaryocytic lineage derived from umbilical cord blood hematopoietic stem cells cultured in vitro
Fang XU ; Guangshu YU ; Xia LING ; Ji HE ; Xianguo XU
Chinese Journal of Blood Transfusion 2025;38(5):605-609
Objective: To elucidate the expression level and transcript structure of the CD36 gene in megakaryocytes cultured in vitro. Methods: Using umbilical cord blood CD34
hematopoietic stem cells as the starting point, megakaryocytic lineage cells were directionally cultured in vitro using different combinations of cytokines. Total cell RNA was extracted from cultures at 0 d, 7 d, and 12 d, and megakaryocyte RNA was extracted from CD41a-sorted cells after 14 d and 18 d of culture. RNA-NGS sequencing technology was used to analyze the RNA gene expression profiles across the five culture periods and further investigate CD36 gene expression. Results: The number of megakaryocytes generated in the TPO (100 ng/mL) group [(2.2±0.02)×10
/mL] was significantly higher than that in the other five groups. A total of 22 066 expressed genes were detected in the RNA of the five culture periods, and gene expression levels at each time point were correlated with the culture timeline. CD36 gene expression increased with culture time, with FPKM values for CD36 expression in the megakaryocytic lineage at 14 d and 18 d being 18.35 and 101.85, respectively, which were much lower than those for ITGA2B and ITGB3 genes but slightly higher than that for CD109 gene in the megakaryocytic lineage. The longest transcript of CD36 in the 18 d megakaryocytic lineage was 3.8 kb, encompassing all sequence of exons E3 to E14 and a partial sequence of E15. Conclusion: This is the first report on the expression level and transcript structure of the CD36 gene in megakaryocytes cultured in vitro, providing fundamental data for research on the expression and regulation of the CD36 gene in the megakaryocytic lineage.
2.Andrographolide as a Multi-Target Therapeutic Agent in Diabetic Nephropathy: Insights into STAT3/PI3K/Akt Pathway Modulation
Yuan YIN ; Jing HE ; Yu FANG ; Min WEI ; Wang ZHANG
Biomolecules & Therapeutics 2025;33(3):529-543
Diabetic nephropathy (DN) remains a leading cause of end-stage renal disease (ESRD), driven by chronic inflammation, oxidative stress, and apoptosis. Current therapies targeting glycemic and blood pressure control fail to address the underlying molecular mechanisms of DN. This study investigates the therapeutic potential of andrographolide (AD), a diterpenoid lactone from Andrographis paniculata, in mitigating DN by modulating key molecular pathways. Through integrative network pharmacology, molecular docking, and in vivo/in vitro experiments, 107 overlapping DN-related targets were identified, with STAT3, PI3K, and AKT1 emerging as core nodes. Molecular docking revealed high binding affinities between AD and these targets, supporting its modulatory potential. In vivo, AD significantly improved renal function in streptozotocin-induced DN rats, reducing proteinuria, glomerular hypertrophy, and renal fibrosis. AD also attenuated oxidative stress, decreased pro-inflammatory cytokine levels, and enhanced antioxidant enzyme activities, demonstrating systemic anti-inflammatory and antioxidative effects. In vitro studies further confirmed that AD alleviates podocyte oxidative stress and apoptosis under high glucose conditions by suppressing the RAGE-NF-κB and STAT3/PI3K/Akt pathways. Histological analyses revealed substantial improvements in renal architecture, including reductions in fibrosis and mesangial expansion. These results underscore AD’s multi-target mechanism, directly addressing DN’s core pathological drivers, including inflammation, oxidative stress, and apoptosis. As a natural compound with notable safety and efficacy, AD holds promise as an adjunct or standalone therapeutic agent for DN. This study establishes a robust preclinical foundation for AD, warranting further exploration in clinical trials and its potential application in other diabetic complications.
3.Andrographolide as a Multi-Target Therapeutic Agent in Diabetic Nephropathy: Insights into STAT3/PI3K/Akt Pathway Modulation
Yuan YIN ; Jing HE ; Yu FANG ; Min WEI ; Wang ZHANG
Biomolecules & Therapeutics 2025;33(3):529-543
Diabetic nephropathy (DN) remains a leading cause of end-stage renal disease (ESRD), driven by chronic inflammation, oxidative stress, and apoptosis. Current therapies targeting glycemic and blood pressure control fail to address the underlying molecular mechanisms of DN. This study investigates the therapeutic potential of andrographolide (AD), a diterpenoid lactone from Andrographis paniculata, in mitigating DN by modulating key molecular pathways. Through integrative network pharmacology, molecular docking, and in vivo/in vitro experiments, 107 overlapping DN-related targets were identified, with STAT3, PI3K, and AKT1 emerging as core nodes. Molecular docking revealed high binding affinities between AD and these targets, supporting its modulatory potential. In vivo, AD significantly improved renal function in streptozotocin-induced DN rats, reducing proteinuria, glomerular hypertrophy, and renal fibrosis. AD also attenuated oxidative stress, decreased pro-inflammatory cytokine levels, and enhanced antioxidant enzyme activities, demonstrating systemic anti-inflammatory and antioxidative effects. In vitro studies further confirmed that AD alleviates podocyte oxidative stress and apoptosis under high glucose conditions by suppressing the RAGE-NF-κB and STAT3/PI3K/Akt pathways. Histological analyses revealed substantial improvements in renal architecture, including reductions in fibrosis and mesangial expansion. These results underscore AD’s multi-target mechanism, directly addressing DN’s core pathological drivers, including inflammation, oxidative stress, and apoptosis. As a natural compound with notable safety and efficacy, AD holds promise as an adjunct or standalone therapeutic agent for DN. This study establishes a robust preclinical foundation for AD, warranting further exploration in clinical trials and its potential application in other diabetic complications.
4.Andrographolide as a Multi-Target Therapeutic Agent in Diabetic Nephropathy: Insights into STAT3/PI3K/Akt Pathway Modulation
Yuan YIN ; Jing HE ; Yu FANG ; Min WEI ; Wang ZHANG
Biomolecules & Therapeutics 2025;33(3):529-543
Diabetic nephropathy (DN) remains a leading cause of end-stage renal disease (ESRD), driven by chronic inflammation, oxidative stress, and apoptosis. Current therapies targeting glycemic and blood pressure control fail to address the underlying molecular mechanisms of DN. This study investigates the therapeutic potential of andrographolide (AD), a diterpenoid lactone from Andrographis paniculata, in mitigating DN by modulating key molecular pathways. Through integrative network pharmacology, molecular docking, and in vivo/in vitro experiments, 107 overlapping DN-related targets were identified, with STAT3, PI3K, and AKT1 emerging as core nodes. Molecular docking revealed high binding affinities between AD and these targets, supporting its modulatory potential. In vivo, AD significantly improved renal function in streptozotocin-induced DN rats, reducing proteinuria, glomerular hypertrophy, and renal fibrosis. AD also attenuated oxidative stress, decreased pro-inflammatory cytokine levels, and enhanced antioxidant enzyme activities, demonstrating systemic anti-inflammatory and antioxidative effects. In vitro studies further confirmed that AD alleviates podocyte oxidative stress and apoptosis under high glucose conditions by suppressing the RAGE-NF-κB and STAT3/PI3K/Akt pathways. Histological analyses revealed substantial improvements in renal architecture, including reductions in fibrosis and mesangial expansion. These results underscore AD’s multi-target mechanism, directly addressing DN’s core pathological drivers, including inflammation, oxidative stress, and apoptosis. As a natural compound with notable safety and efficacy, AD holds promise as an adjunct or standalone therapeutic agent for DN. This study establishes a robust preclinical foundation for AD, warranting further exploration in clinical trials and its potential application in other diabetic complications.
5.REDH: A database of RNA editome in hematopoietic differentiation and malignancy
Jiayue XU ; Jiahuan HE ; Jiabin YANG ; Fengjiao WANG ; Yue HUO ; Yuehong GUO ; Yanmin SI ; Yufeng GAO ; Fang WANG ; Hui CHENG ; Tao CHENG ; Jia YU ; Xiaoshuang WANG ; Yanni MA
Chinese Medical Journal 2024;137(3):283-293
Background::The conversion of adenosine (A) to inosine (I) through deamination is the prevailing form of RNA editing, impacting numerous nuclear and cytoplasmic transcripts across various eukaryotic species. Millions of high-confidence RNA editing sites have been identified and integrated into various RNA databases, providing a convenient platform for the rapid identification of key drivers of cancer and potential therapeutic targets. However, the available database for integration of RNA editing in hematopoietic cells and hematopoietic malignancies is still lacking.Methods::We downloaded RNA sequencing (RNA-seq) data of 29 leukemia patients and 19 healthy donors from National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database, and RNA-seq data of 12 mouse hematopoietic cell populations obtained from our previous research were also used. We performed sequence alignment, identified RNA editing sites, and obtained characteristic editing sites related to normal hematopoietic development and abnormal editing sites associated with hematologic diseases.Results::We established a new database, "REDH", represents RNA editome in hematopoietic differentiation and malignancy. REDH is a curated database of associations between RNA editome and hematopoiesis. REDH integrates 30,796 editing sites from 12 murine adult hematopoietic cell populations and systematically characterizes more than 400,000 edited events in malignant hematopoietic samples from 48 cohorts (human). Through the Differentiation, Disease, Enrichment, and knowledge modules, each A-to-I editing site is systematically integrated, including its distribution throughout the genome, its clinical information (human sample), and functional editing sites under physiological and pathological conditions. Furthermore, REDH compares the similarities and differences of editing sites between different hematologic malignancies and healthy control.Conclusions::REDH is accessible at http://www.redhdatabase.com/. This user-friendly database would aid in understanding the mechanisms of RNA editing in hematopoietic differentiation and malignancies. It provides a set of data related to the maintenance of hematopoietic homeostasis and identifying potential therapeutic targets in malignancies.
6.An advanced machine learning method for simultaneous breast cancer risk prediction and risk ranking in Chinese population: A prospective cohort and modeling study
Liyuan LIU ; Yong HE ; Chunyu KAO ; Yeye FAN ; Fu YANG ; Fei WANG ; Lixiang YU ; Fei ZHOU ; Yujuan XIANG ; Shuya HUANG ; Chao ZHENG ; Han CAI ; Heling BAO ; Liwen FANG ; Linhong WANG ; Zengjing CHEN ; Zhigang YU
Chinese Medical Journal 2024;137(17):2084-2091
Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.
7.Total saponins from Trillium tschonoskii maxim alleviates cerebral ischemia-reperfusion injury by inhibiting ferroptosis through Keap-1/Nrf2/HO-1 and Nrf2/SLC7A11/GPX4 pathways
Jian-Hong GAO ; Tian-Ying SONG ; Chao-Xi TIAN ; Fang-Yu ZHAO ; Yi-Duo HE ; Xin LIU ; Xian-Bing CHEN
Chinese Pharmacological Bulletin 2024;40(10):1850-1857
Aim To examine the neuroprotective im-pacts of total saponins from Trillium tschonoskii maxim(TST)on cerebral ischemia-reperfusion injury(CIRI)in rats and delve into the mechanisms of ferroptosis.Methods The CIRI model was prepared by dividing male SD rats into the model group,TST(0.1 g·kg-1)group,Donepezil hydrochloride(0.45 mg·kg-1)group,and sham group.The cognitive functions of rats in each group were assessed through the Morris water maze test,the changes in neurological function were evaluated using the Zea-Longa method,the infarct area was observed via TTC staining,and the pathologi-cal alterations in brain tissue were analysed using HE and Nissl staining.To further investigate the underly-ing mechanism,the mitochondrial structural changes were examined using transmission electron microscopy,and the levels of GSH-PX,MDA,and SOD were ana-lyzed.Additionally,the expressions of GPX4 and Nrf2 proteins were evaluated through immunohistochemistry and immunofluorescence.Furthermore,the protein lev-els of Keap1/Nrf2/HO-1 and Nrf2/SLC7A11/GPX4 pathways in rats were examined using Western blot-ting.Results The rats in the model group displayed diminished learning and memory capabilities in com-parison to those in the sham group,as well as a signifi-cantly increased cerebral infarction area and higher neurological function scores(P<0.01),significantly increased cerebral infarct area,disordered and loosely arranged neurons,and reduced Nissl bodies.Addition-ally,mitochondria showed typical signs of ferroptosis.Changes related to ferroptosis included decreased activ-ities of SOD and GSH-PX(P<0.01)and increased MDA levels(P<0.01).The expression of GPX4 and Nrf2-positive cells was significantly reduced,along with decreased fluorescence intensity of GPX4.Further-more,the protein expression of Keap1,Nrf2,HO-1,GPX4,SLC7A11 in the hippocampus decreased(P<0.05,P<0.01).Following the administration of TST,these effects showed improvement.Conclusions TST has neuroprotective effects,enhancing learning and memory abilities while reducing oxidative stress levels.The mechanism may involve the inhibition of ferroptosis through the Keap-1/Nrf2/HO-1 and Nrf2/SLC7 A11/GPX4 pathways.
8.Molecular evolution of human infection with H9N2 subtype avian influenza virus in Anhui province from 2013 to 2022
Yidan XIA ; Sitian YANG ; Minhao HU ; Xue ZHOU ; Junling YU ; Wanrong LUO ; Weixi FANG ; Jun HE
Chinese Journal of Experimental and Clinical Virology 2024;38(5):527-532
Objective:To analyze the genetic and molecular characteristics of H9N2 subtype avian influenza viruses from external environment and humans in Anhui Province from 2013 to 2022.Methods:Environmental samples and human samples were collected from Anhui influenza surveillance network laboratory. Sixty-three strains of virus were isolated in chicken embryos. RT-PCR was used to amplify the virus and whole genome sequencing was performed. To construct gene evolutionary tree and analyze its genetic characteristics and potential glycosylation sites.Results:The hemagglutinin (HA) gene belongs to the 9.2.4.5 clade, and the protein cleavage sites are mostly " PSRSSR\GL". The neuraminidase (NA) gene, basic protein-1(PB1) gene, acidic protein (PA) gene, non-structural protein (NS) gene and nucleoprotein (NP) gene belong to the F/98 clade, the matrix protein (MP) gene belongs to the G1/97 clade, and the basic protein-2 (PB2) gene belongs to the ST/7488 clade. Mutations of T155N, R164Q, H183N, T189D/V, A190V/T and Q226L occurred in HA protein, deletion of NA protein occurred at 62-64 sites, and mutations of T271A, I292V/M and E627V/L occurred in PB2 protein. At the same time, mutations of K356R and S409N occurred in the PA protein.Conclusions:The H9N2 subtype avian influenza viruses collected from external environment and human sources in Anhui province from 2013 to 2022 belong to the same evolutionary branch, and amino acid site mutations suggest that the virus shows a tendency to gradually adapt to the mammalian host environment. Therefore, further studies on the adaptive evolution of the virus and related monitoring work are needed.
9.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
10.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.

Result Analysis
Print
Save
E-mail