1.Detection and clinical analysis of drug-induced antibodies related to β-lactam antibiotics
Yangyang ZHENG ; Rongpeng WANG ; Jie ZHAO ; Bingzheng ZHUO ; Feng CHEN
Chinese Journal of Blood Transfusion 2025;38(7):922-927
Objective: To investigate the positive rate of drug-induced antibodies produced by the clinical application of β-lactam antibiotics, and analyze the differences in the detection methods and related influencing factors. Methods: A total of 350 adult inpatients who developed anemia after using β-lactam antibiotics for 3 days or more in Inner Mongolia People's hospital were selected as the experimental group, and 240 adult inpatients treated with β-lactam antibiotics for 3 days or more who did not develop anemia as the control group. The drug-induced antibody tests, direct antiglobulin tests, and unexpected antibody screening were performed on both groups, and the influencing factors of drug-induced antibodies were analyzed. Results: The numbers of positive cases of drug-induced antibody detected by the drug-coated red blood cell method in the experimental group and the control group were 12(12/350, 3.43%) and 2(2/240, 0.83%) respectively, with statistically significant differences (P<0.05). No drug-induced antibodies were detected in either group using the drug addition method. In the experimental group, the red blood cell method detected β-lactam drug-induced antibodies in 12 cases (12/350, 3.43%), while the drug added method detected 0 cases (0/350, 0.00%), with statistically significant differences (P<0.05). In the control group, the detection rates of two methods showed no statistically significant difference (P>0.05). In the experimental group, 7 cases of β-lactam antibodies were detected in the cephalosporin group (7/293, 2.40%) and 5 cases in the non-cephalosporin group (5/58, 8.62%), with statistically significant differences (P<0.05). There was no statistically significant difference between the second-generation and third-generation cephalosporin drugs (P>0.05). When the experimental group was stratified according to the history of blood transfusion and the blood type of patients, no statistically significant differences were observed between subgroups (P>0.05). Conclusion: Anemia may be related to the production of drug-induced antibodies followingβ-lactam antibiotics treatment. Therefore, improving the clinical awareness of drug-induced antibodies to β-lactam antibiotics is of great significance to clarify the causes of anemia and reduce unnecessary blood transfusions.
2.Expert consensus on the model informed precision dosing of tacroli-mus in patients receiving anti-rejection therapy
Bing CHEN ; Xiaocong ZUO ; Xingang LI ; Dewei SHANG ; Peijun ZHOU ; Junjie DING ; Xiaoq-iang XIANG ; Xiaoyan QIU ; Zhuo WANG ; Xiaoyu LI ; Yi ZHANG ; Wei ZHAO ; Yuzhu WANG ; Jianjun GAO ; Zheng JI-AO
Chinese Journal of Clinical Pharmacology and Therapeutics 2025;30(4):433-445
There is significant inter-individual variation of pharmacokinetics and pharmacody-namics in patients receiving tacrolimus(TAC)for an-ti-rejection therapy,which cause the rejection or toxic action.Based on results of therapeutic drug monitoring and pathophysiological index of trans-plant patients,the individualized dosing regimen can be designed and adjusted by using model in-formed precision dosing(MIPD).The patients'clini-cal outcome can be improved.In the consensus,the different methods of MIPD used for patients re-ceived TAC for anti-rejection therapy were intro-duced,which can be used for the designing and ad-justing doing regimen,predicting adverse drug reac-tion,improving medication adherence and econom-ics during therapy.
3.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
4.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
5.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; 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 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
6.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; 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 ; 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 WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
7.Detection and clinical analysis of drug-induced antibodies related to β-lactam antibiotics
Yangyang ZHENG ; Rongpeng WANG ; Jie ZHAO ; Bingzheng ZHUO ; Feng CHEN
Chinese Journal of Blood Transfusion 2025;38(7):922-927
Objective: To investigate the positive rate of drug-induced antibodies produced by the clinical application of β-lactam antibiotics, and analyze the differences in the detection methods and related influencing factors. Methods: A total of 350 adult inpatients who developed anemia after using β-lactam antibiotics for 3 days or more in Inner Mongolia People's hospital were selected as the experimental group, and 240 adult inpatients treated with β-lactam antibiotics for 3 days or more who did not develop anemia as the control group. The drug-induced antibody tests, direct antiglobulin tests, and unexpected antibody screening were performed on both groups, and the influencing factors of drug-induced antibodies were analyzed. Results: The numbers of positive cases of drug-induced antibody detected by the drug-coated red blood cell method in the experimental group and the control group were 12(12/350, 3.43%) and 2(2/240, 0.83%) respectively, with statistically significant differences (P<0.05). No drug-induced antibodies were detected in either group using the drug addition method. In the experimental group, the red blood cell method detected β-lactam drug-induced antibodies in 12 cases (12/350, 3.43%), while the drug added method detected 0 cases (0/350, 0.00%), with statistically significant differences (P<0.05). In the control group, the detection rates of two methods showed no statistically significant difference (P>0.05). In the experimental group, 7 cases of β-lactam antibodies were detected in the cephalosporin group (7/293, 2.40%) and 5 cases in the non-cephalosporin group (5/58, 8.62%), with statistically significant differences (P<0.05). There was no statistically significant difference between the second-generation and third-generation cephalosporin drugs (P>0.05). When the experimental group was stratified according to the history of blood transfusion and the blood type of patients, no statistically significant differences were observed between subgroups (P>0.05). Conclusion: Anemia may be related to the production of drug-induced antibodies followingβ-lactam antibiotics treatment. Therefore, improving the clinical awareness of drug-induced antibodies to β-lactam antibiotics is of great significance to clarify the causes of anemia and reduce unnecessary blood transfusions.
8.In-silico discovery of the hapten-based interaction between idiosyncratic hepatotoxic ingredients of Polygonum multiflorum and HLA-B*35:01
Dake XIAO ; Xu ZHAO ; Xiaoyan ZHAN ; Zhuo SHI ; Zhaofang BAI ; Jiang ZHENG ; Xiaohe XIAO ; Jiabo WANG
Science of Traditional Chinese Medicine 2025;3(1):15-27
Background: The previous research has confirmed the existence of idiosyncratic drug-induced liver injury (IDILI) caused by Polygonum multiflorum (PM-IDILI), and demonstrated that PM-IDILI is an immune-mediated injury, with HLA-B*35:01 identified as a genetic susceptibility marker. Additionally, emodin-8-O-β-D-glucoside (EG) and 2, 3, 5, 4′-tetrahyd roxystilbene-2-O-β-D-glucoside have been proposed as potential contributory ingredients in the pathogenesis of PM-IDILI. However, the precise mechanisms through which these susceptible factors contribute to the development of PM-IDILI remain unclear. Objectives: This study aims to explore the molecular characteristics of HLA-B*35:01 that contribute to PM-DILI and to propose a mechanistic hypothesis based on our previous research on PM-induced protein adducts. Methods: Key differences between HLA-B*35:01 and general Chinese HLA-B alleles were identified by comparing protein sequences, peptide binding motifs, and protein structures. Molecular docking was employed to assess whether PM-induced haptenated peptides can be presented by HLA-B*35:01 and other related alleles. Additionally, a simplified dipeptide model was used to evaluate the binding affinity of HLA-B*35:01 to EG-haptenated peptides. Results: Our findings revealed significant differences in the residues of the B and F peptide binding pockets of HLA-B*35:01 compared to general Chinese HLA-B alleles. Further analysis suggested that the F pocket of HLA-B*35:01 was capable of binding EG-cysteine adducts and might be a key feature in the PM-IDILI pathogenesis. Peptide docking using DINC and molecular dynamics simulations indicated that HLA-B*35:01 could form stable complexes with EG-haptenated peptides. Molecular dynamics simulations also highlighted the critical roles of both the B and F pockets in peptide binding. Specifically, the F pocket binds the EG-modified residue in haptenated peptides, while the B pocket, despite lacking shared features among PM-IDILI patients, may indirectly influence the incidence of PM-IDILI by filtering haptenated peptides. The binding affinity of HLA-B*35:01 to EG-modified cysteine residues was experimentally validated through a dipeptide-based assay, confirming that HLA-B*35:01 could bind EG-haptenated peptides. Conclusions: This study identified the unique B and F binding pockets of HLA-B*35:01 as key factors in PM-IDILI pathogenesis and demonstrated that HLA-B*35:01 could bind EG-haptenated peptides. These findings suggest that PM-IDILI may be a hapten-based drug hypersensitivity reaction driven by EG, providing a theoretical framework for further research aimed at elucidating the molecular mechanisms underlying PM-IDILI.
9.In-silico discovery of the hapten-based interaction between idiosyncratic hepatotoxic ingredients of Polygonum multiflorum and HLA-B*35:01
Dake XIAO ; Xu ZHAO ; Xiaoyan ZHAN ; Zhuo SHI ; Zhaofang BAI ; Jiang ZHENG ; Xiaohe XIAO ; Jiabo WANG
Science of Traditional Chinese Medicine 2025;3(1):15-27
Background: The previous research has confirmed the existence of idiosyncratic drug-induced liver injury (IDILI) caused by Polygonum multiflorum (PM-IDILI), and demonstrated that PM-IDILI is an immune-mediated injury, with HLA-B*35:01 identified as a genetic susceptibility marker. Additionally, emodin-8-O-β-D-glucoside (EG) and 2, 3, 5, 4′-tetrahyd roxystilbene-2-O-β-D-glucoside have been proposed as potential contributory ingredients in the pathogenesis of PM-IDILI. However, the precise mechanisms through which these susceptible factors contribute to the development of PM-IDILI remain unclear. Objectives: This study aims to explore the molecular characteristics of HLA-B*35:01 that contribute to PM-DILI and to propose a mechanistic hypothesis based on our previous research on PM-induced protein adducts. Methods: Key differences between HLA-B*35:01 and general Chinese HLA-B alleles were identified by comparing protein sequences, peptide binding motifs, and protein structures. Molecular docking was employed to assess whether PM-induced haptenated peptides can be presented by HLA-B*35:01 and other related alleles. Additionally, a simplified dipeptide model was used to evaluate the binding affinity of HLA-B*35:01 to EG-haptenated peptides. Results: Our findings revealed significant differences in the residues of the B and F peptide binding pockets of HLA-B*35:01 compared to general Chinese HLA-B alleles. Further analysis suggested that the F pocket of HLA-B*35:01 was capable of binding EG-cysteine adducts and might be a key feature in the PM-IDILI pathogenesis. Peptide docking using DINC and molecular dynamics simulations indicated that HLA-B*35:01 could form stable complexes with EG-haptenated peptides. Molecular dynamics simulations also highlighted the critical roles of both the B and F pockets in peptide binding. Specifically, the F pocket binds the EG-modified residue in haptenated peptides, while the B pocket, despite lacking shared features among PM-IDILI patients, may indirectly influence the incidence of PM-IDILI by filtering haptenated peptides. The binding affinity of HLA-B*35:01 to EG-modified cysteine residues was experimentally validated through a dipeptide-based assay, confirming that HLA-B*35:01 could bind EG-haptenated peptides. Conclusions: This study identified the unique B and F binding pockets of HLA-B*35:01 as key factors in PM-IDILI pathogenesis and demonstrated that HLA-B*35:01 could bind EG-haptenated peptides. These findings suggest that PM-IDILI may be a hapten-based drug hypersensitivity reaction driven by EG, providing a theoretical framework for further research aimed at elucidating the molecular mechanisms underlying PM-IDILI.
10.In-silico discovery of the hapten-based interaction between idiosyncratic hepatotoxic ingredients of Polygonum multiflorum and HLA-B*35:01
Dake XIAO ; Xu ZHAO ; Xiaoyan ZHAN ; Zhuo SHI ; Zhaofang BAI ; Jiang ZHENG ; Xiaohe XIAO ; Jiabo WANG
Science of Traditional Chinese Medicine 2025;3(1):15-27
Background: The previous research has confirmed the existence of idiosyncratic drug-induced liver injury (IDILI) caused by Polygonum multiflorum (PM-IDILI), and demonstrated that PM-IDILI is an immune-mediated injury, with HLA-B*35:01 identified as a genetic susceptibility marker. Additionally, emodin-8-O-β-D-glucoside (EG) and 2, 3, 5, 4′-tetrahyd roxystilbene-2-O-β-D-glucoside have been proposed as potential contributory ingredients in the pathogenesis of PM-IDILI. However, the precise mechanisms through which these susceptible factors contribute to the development of PM-IDILI remain unclear. Objectives: This study aims to explore the molecular characteristics of HLA-B*35:01 that contribute to PM-DILI and to propose a mechanistic hypothesis based on our previous research on PM-induced protein adducts. Methods: Key differences between HLA-B*35:01 and general Chinese HLA-B alleles were identified by comparing protein sequences, peptide binding motifs, and protein structures. Molecular docking was employed to assess whether PM-induced haptenated peptides can be presented by HLA-B*35:01 and other related alleles. Additionally, a simplified dipeptide model was used to evaluate the binding affinity of HLA-B*35:01 to EG-haptenated peptides. Results: Our findings revealed significant differences in the residues of the B and F peptide binding pockets of HLA-B*35:01 compared to general Chinese HLA-B alleles. Further analysis suggested that the F pocket of HLA-B*35:01 was capable of binding EG-cysteine adducts and might be a key feature in the PM-IDILI pathogenesis. Peptide docking using DINC and molecular dynamics simulations indicated that HLA-B*35:01 could form stable complexes with EG-haptenated peptides. Molecular dynamics simulations also highlighted the critical roles of both the B and F pockets in peptide binding. Specifically, the F pocket binds the EG-modified residue in haptenated peptides, while the B pocket, despite lacking shared features among PM-IDILI patients, may indirectly influence the incidence of PM-IDILI by filtering haptenated peptides. The binding affinity of HLA-B*35:01 to EG-modified cysteine residues was experimentally validated through a dipeptide-based assay, confirming that HLA-B*35:01 could bind EG-haptenated peptides. Conclusions: This study identified the unique B and F binding pockets of HLA-B*35:01 as key factors in PM-IDILI pathogenesis and demonstrated that HLA-B*35:01 could bind EG-haptenated peptides. These findings suggest that PM-IDILI may be a hapten-based drug hypersensitivity reaction driven by EG, providing a theoretical framework for further research aimed at elucidating the molecular mechanisms underlying PM-IDILI.

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