1.Malonylation Proteomics Study of Hepatocellular Carcinoma Tissues Using Liquid Chromatography-Mass Spectrometry
Meng ZHANG ; Xiao LONG ; Yan-Nan WU ; Hao SI ; Hong-Xia WANG
Chinese Journal of Analytical Chemistry 2025;53(9):1546-1554
Malonylation is an important post-translational modification of proteins.In this work,a comprehensive malonylation proteomics study on hepatocellular carcinoma(HCC)tumorous and non-tumorous tissues using antibody enrichment combined with high performance liquid chromatography-mass spectrometry for discovery of early diagnostic biomarkers or potential new drug targets of HCC was performed.A total of 1299 malonylated peptides containing 1064 malonylated sites were identified from HCC tissues,corresponding to 511 malonylated proteins.Quantitative results showed that 56 and 80 malonylated proteins were up-regulated and down-regulated in HCC tissues,including 60 and 101 malonylated sites,respectively.Kyoto encyclopedia of genes and genomes(KEGG)pathway analysis showed that these differentially modified proteins were involved in various important pathways such as metabolic pathways,fatty acid degradation,and glycolysis/gluconeogenesis.As a key enzyme in glycolysis/gluconeogenesis,phosphoenolpyruvate carboxykinase 1(PCK1)was malonylated at lysine 244(K244)and the malonylation was only detected in HCC tumorous tissues.More importantly,the K244 site served as a binding site for Mn2+and highly conserved across different species.Therefore,it could speculate that the malonylation of K244 would affect its activity and played a role in liver cancer by affecting its binding with Mn2+,which requied further verification through site mutation experiments.Western blot analysis by malonylation pan antibody showed that the malonylation level reduced markedly in HCC tumorous tissues compared with adjacent non-tumorous tissues,which was consistent with mass spectrometry data.In addition,the proliferation and invasion of PLC/PRF/5 cell was significantly inhibited and protein malonylation level was increased obviously when treated with sodium malonate.All the evidence indicated that protein malonylation played an important role in HCC pathogenesis,and its molecular mechanism deserved further investigation.Furthermore,the 136 differentially malonylated proteins provided rich source of candidate targets for further research on HCC pathogenesis.
2.Effect of HSYA on LCN2-induced iron death of HT22 cells and its mechanism based on SLC7A11/GPX4 signaling pathway
Meng-wei RONG ; Cun-yan DAN ; Tian-qing XIA ; Yi YANG ; Xiu LOU ; Chen-xiang JI ; Bao-guo XIAO ; Cun-gen MA ; Li-juan SONG
Chinese Pharmacological Bulletin 2025;41(11):2097-2105
Aim To explore the effect of hydroxysafflor yellow A(HSYA)on lipocalin 2(LCN2)-induced fer-roptosis in HT22 cells and the related mechanism.Methods Thirty male Sprague-Dawley(SD)rats were used to establish the middle cerebral artery occlu-sion/reperfusion(MCAO/R)model by the suture method.The rats were randomly divided into the Sham group,the MCAO/R group,and the MCAO/R+HSYA group.The infarct area was measured by TTC staining,and the degree of neurological deficit was evaluated by the Z-Longa scoring method.The expressions of LCN2 and 24P3R in brain tissues were detected by Western blot.LCN2 protein was added to HT-22 cells,and the cells were divided into the normal group,the LCN2 group,and the LCN2+HSYA group.The optimal con-centration of LCN2-induced neuronal ferroptosis was screened by LDH assay and Western blot,and the ex-pression levels of ferritin,FPN1,GPX4,SLC7A11,COX2,and 24P3R were detected.LCN2 was knocked down by siRNA transfection,and the expressions of GPX4 and ferritin were detected.The contents of glu-tathione(GSH),malondialdehyde(MDA),GPX4,and Fe2+were determined by colorimetry,and the expres-sion of GPX4 was detected by immunofluorescence.The binding force between HSYA and LCN2 was ana-lyzed by molecular docking technology.Results Ani-mal experiments showed that HSYA could reduce the cerebral infarction area and decrease the neurological function score of MCAO/R rats.Compared with the sham group,the levels of LCN2 and 24P3R increased in the MCAO/R group,while HSYA inhibited their ex-pressions.Cell experiments showed that the optimal concentration of LCN2 to induce ferroptosis in HT22 cells was 2 μmol·L-1.After knocking down LCN2 by siRNA transfection,compared with the LCN2 group,the expression levels of GPX4 and ferritin in the siLCN2 group increased significantly.Compared with the nor-mal group,the expressions of SLC7A11,GPX4,FPN1,ferritin,and GSH in the LCN2 group decreased signifi-cantly,while the concentration of Fe2+,and the expres-sions of MDA,COX2,and 24P3R increased.HSYA could increase the expressions of SLC7A11,GPX4,FPN1,ferritin,and GSH,reduce the contents of Fe2+and MDA,and inhibit the expressions of COX2 and 24P3R.Molecular docking showed that the binding en-ergy between HSYA and LCN2 was-8.0 kJ·mol-1.Conclusion HSYA can inhibit LCN2-induced ferrop-tosis in HT22 cells through the SLC7A11/GPX4 signa-ling pathway.
3.Associations between Pesticide Metabolites and Decreased Estimated Glomerular Filtration Rate Among Solar Greenhouse Workers: A Specialized Farmer Group.
Teng Long YAN ; Xin SONG ; Xiao Dong LIU ; Wu LIU ; Yong Lan CHEN ; Xiao Mei ZHANG ; Xiang Juan MENG ; Bin Shuo HU ; Zhen Xia KOU ; Tian CHEN ; Xiao Jun ZHU
Biomedical and Environmental Sciences 2025;38(2):265-269
4.Overweight Modified the Associations between Long-Term Exposure to Ambient Fine Particulate Matter and Its Constituent and the Risk of Type 2 Diabetes in Rural China.
Dong Hui YANG ; Yun CHEN ; Xia MENG ; Xiao Lian DONG ; Hai Dong KAN ; Chao Wei FU
Biomedical and Environmental Sciences 2025;38(11):1359-1368
OBJECTIVE:
To investigate the association between long-term exposure to ambient fine particulate matter (PM 2.5) and its constituents and the risk of incident type 2 diabetes mellitus (T2DM), and to examine the modification roles of overweight status.
METHODS:
This prospective study included 27,507 adults living in rural China. The annual mean residential exposure to PM 2.5 and its constituents was estimated using a satellite-based statistical model. Cox models were used to estimate the risk of T2DM associated with PM 2.5 and its constituents. Stratified analysis quantified the role of overweight status in the association between PM 2.5 constituents and T2DM.
RESULTS:
Over a median follow-up of 9.4 years, 3,001 new T2DM cases were identified. The hazard ratio ( HR) for a 10 μg/m 3 increase in ambient PM 2.5 was 1.30 (95% confidence interval [ CI]: 1.17, 1.45). Among the constituents, the strongest association was observed with black carbon. Being overweight significantly modified the association between certain constituents and the risk of T2DM. Participants who were overweight and exposed to the highest quartile of PM 2.5 constituents had the highest risk of T2DM ( HR: 2.46, 95% CI: 2.04, 2.97).
CONCLUSIONS
Our findings indicate that PM 2.5 was associated with an increased risk of T2DM, with black carbon potentially being the primary contributor. Being overweight appeared to enhance the association between PM 2.5 and T2DM. This suggests that controlling both PM 2.5 exposure and overweight status may reduce the burden of T2DM.
Humans
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Diabetes Mellitus, Type 2/chemically induced*
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China/epidemiology*
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Particulate Matter/analysis*
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Overweight/epidemiology*
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Female
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Male
;
Middle Aged
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Rural Population
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Air Pollutants/analysis*
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Adult
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Prospective Studies
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Environmental Exposure/adverse effects*
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Aged
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Risk Factors
5.Effect of HSYA on LCN2-induced iron death of HT22 cells and its mechanism based on SLC7A11/GPX4 signaling pathway
Meng-wei RONG ; Cun-yan DAN ; Tian-qing XIA ; Yi YANG ; Xiu LOU ; Chen-xiang JI ; Bao-guo XIAO ; Cun-gen MA ; Li-juan SONG
Chinese Pharmacological Bulletin 2025;41(11):2097-2105
Aim To explore the effect of hydroxysafflor yellow A(HSYA)on lipocalin 2(LCN2)-induced fer-roptosis in HT22 cells and the related mechanism.Methods Thirty male Sprague-Dawley(SD)rats were used to establish the middle cerebral artery occlu-sion/reperfusion(MCAO/R)model by the suture method.The rats were randomly divided into the Sham group,the MCAO/R group,and the MCAO/R+HSYA group.The infarct area was measured by TTC staining,and the degree of neurological deficit was evaluated by the Z-Longa scoring method.The expressions of LCN2 and 24P3R in brain tissues were detected by Western blot.LCN2 protein was added to HT-22 cells,and the cells were divided into the normal group,the LCN2 group,and the LCN2+HSYA group.The optimal con-centration of LCN2-induced neuronal ferroptosis was screened by LDH assay and Western blot,and the ex-pression levels of ferritin,FPN1,GPX4,SLC7A11,COX2,and 24P3R were detected.LCN2 was knocked down by siRNA transfection,and the expressions of GPX4 and ferritin were detected.The contents of glu-tathione(GSH),malondialdehyde(MDA),GPX4,and Fe2+were determined by colorimetry,and the expres-sion of GPX4 was detected by immunofluorescence.The binding force between HSYA and LCN2 was ana-lyzed by molecular docking technology.Results Ani-mal experiments showed that HSYA could reduce the cerebral infarction area and decrease the neurological function score of MCAO/R rats.Compared with the sham group,the levels of LCN2 and 24P3R increased in the MCAO/R group,while HSYA inhibited their ex-pressions.Cell experiments showed that the optimal concentration of LCN2 to induce ferroptosis in HT22 cells was 2 μmol·L-1.After knocking down LCN2 by siRNA transfection,compared with the LCN2 group,the expression levels of GPX4 and ferritin in the siLCN2 group increased significantly.Compared with the nor-mal group,the expressions of SLC7A11,GPX4,FPN1,ferritin,and GSH in the LCN2 group decreased signifi-cantly,while the concentration of Fe2+,and the expres-sions of MDA,COX2,and 24P3R increased.HSYA could increase the expressions of SLC7A11,GPX4,FPN1,ferritin,and GSH,reduce the contents of Fe2+and MDA,and inhibit the expressions of COX2 and 24P3R.Molecular docking showed that the binding en-ergy between HSYA and LCN2 was-8.0 kJ·mol-1.Conclusion HSYA can inhibit LCN2-induced ferrop-tosis in HT22 cells through the SLC7A11/GPX4 signa-ling pathway.
6.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
7.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.
8.Analysis of Delayed Hemolytic Transfusion Reaction in Children with Repeated Blood Transfusion
Li-Lan GAO ; Meng-Xing LYU ; Shu-Xia WANG ; Xiao-Hong JIN ; Jian-Xiang LIU ; Mei-Kun HU ; Ke-Xuan QU
Journal of Experimental Hematology 2025;33(1):217-223
Objective:To summarize and analyze the characteristics of delayed hemolytic transfusion reaction in children,in order to provide a scientific basis for clinical prevention,and ensure the safety of children's blood transfusion.Methods:The basic situation,clinical symptoms and signs,diagnosis time and disappearance time of alloantibody of delayed hemolytic transfusion reaction in children were retrospectively analyzed.The serological test,routine blood test,biochemical detection and urine analysis results were compared pre-and post-transfusion.Results:Among 15 164 children with repeated blood transfusion,23 cases occurred delayed hemolytic transfusion reactions,with an incidence rate of 0.15%,and mainly children with thalassemia and acute leukemia.39.13%of delayed hemolytic reactions occurred in children with more than 20 times of blood transfusions.Anemia was the main clinical symptom in 86.96%of children.4.35%of children had hypotension and dyspnea.Serological test results showed that the positive rate of direct antiglobulin test was 91.30%,and that of erythrocyte homologous antibody test was 100%.Erythrocyte alloantibodies were common in Rh and Kidd blood group systems,accounting for 73.91%and 13.04%,respectively.Laboratory test results showed that hemoglobin,reticulocyte,spherocyte,total bilirubin,indirect bilirubin,lactate dehydrogenase,serum ferritin and urine color were significantly different after transfusion compared with those before transfusion(all P<0.05).The average diagnosis time of delayed hemolytic transfusion reactions was 18.56 days,and the average disappearance time of erythrocyte alloantibodies was 118.43 days.Conclusion:The incidence of delayed hemolytic transfusion reaction is high in children with repeated blood transfusion,and the disappearance time of erythrocyte homologous antibody is long.Blood matched ABO,Rh and Kidd blood group antigens should be transfused prophylactically.Once diagnosed,erythrocyte alloantibody corresponding to antigen-negative blood should be used throughout the whole process.
9.Relationship between Serum sTM,sIL-2R and Short-Term Prognosis in Patients with Acute Exacerbation Chronic Obstructive Pulmonary Disease Combine with Type Ⅱ Respiratory Failure
Meng-fei YE ; Xiao-lei WU ; Xing-xia ZHANG
Progress in Modern Biomedicine 2025;25(11):1895-1904
Objective:To investigate the relationship between serum soluble thrombomodulin(sTM),soluble interleukin-2 receptor(sIL-2R)and short-term prognosis in patients with acute exacerbation chronic obstructive pulmonary disease(AECOPD)combine with type Ⅱ respiratory failure(RF).Methods:251 patients with AECOPD combine with type Ⅱ RF who were admitted to our hospital from April 2021 to April 2024 were selected,the serum sTM and sIL-2R levels of all patients were detected,and the prognosis of 10 d after admission of patients was counted,patients were divided into death group(n=40)and survival group(n=211)according to different prognosis.Influencing factors were analyzed by multivariate logistic regression analysis,predictive value was analyzed by receiver operating characteristic(ROC)curve.Results:Serum sTM and sIL-2R levels in death group were higher than those in survival group(P<0.05).long course of chronic obstructive pulmonary disease(COPD)and severe RF,high sTM and high sIL-2R were risk factors for death of 10 d after admission of patients with AECOPD combine with type Ⅱ RF(P<0.05).The area under the curve(AUC)of serum sTM and sIL-2R detection in predicting death of 10 d after admission of patients with AECOPD combine with type Ⅱ RF was 0.801 and 0.810,respectively,the AUC of joint detection of serum sTM and sIL-2R was 0.859,which was higher than that of each index alone.Conclusion:Serum sTM and sIL-2R levels in patients with AECOPD combine with type Ⅱ RF are significantly increase,which are relate to the occurrence of poor prognosis of 10 d after admission,serum sTM and sIL-2R are expect to be used as auxiliary predictive markers for short-term prognosis of patients with AECOPD combine with type Ⅱ RF,and long course of COPD and severe RF,APACHE Ⅱ score are the influencing factors of poor prognosis in patients with AECOPD combine with type Ⅱ RF.
10.Screening of Sepsis Biomarkers Based on Bioinformatics Data
Meng-xia YANG ; Jun-hao LIU ; Teng-fei CHEN ; Xiao-long XU ; Qing-quan LIU
Progress in Modern Biomedicine 2025;25(13):2110-2117,2137
Objective:To provide novel genetic biomarkers for the diagnosis and treatment of sepsis,bioinformatics analysis was used to screen differentially expressed genes and identify Hub genes in sepsis.Methods:Gene Expression Omnibus(GEO)database was used to retrieve gene expression datasets of sepsis and screen for differentially expressed genes(DEGs).Protein-protein interaction(PPI)network analysis,Gene Ontology(GO)analysis,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were used to clarify the molecular mechanism of DEGs,and Hub genes were screened.Results:A total of 361 DEGs were identified,including 163 up-regulated genes and 198 down-regulated genes.Enrichment analysis revealed that these DEGs were primarily involved in antigen processing and presentation,T cell biology,cell adhesion molecules,and T cell receptor signaling pathways.CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1 were determined as optimal diagnostic biomarkers for sepsis.Conclusions:This study elucidated 10 Hub genes(CD4,TP53,PTPRC,LCK,ITGAM,ZAP70,CD247,CD2,CD3E,and HSP90AB1)as potential biomarkers for the diagnosis and treatment of sepsis.However,since the the generalizability of these Hub genes in patients with sepsis remains unvalidated,further experimental verification is still needed in the future.

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