1.The first record of Anopheles messeae (Diptera: Culicidae) parasitized by water mites in China
Xue-ru CHEN ; Wen-zhen YAO ; Yu-hao LI ; Gui-chang LI ; Tao MENG ; Qun-ling FENG ; Xin-hui LIU ; Li-hong QIAO ; Xiang-ting WU ; Xue-feng ZHANG ; Cheng-lin LI ; Xue-cheng DONG ; Da-wei WANG ; Xiao-yan SI ; Yu-hong GUO
Acta Parasitologica et Medica Entomologica Sinica 2026;33(1):53-57
Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.
2.A Fitting Method for Photoacoustic Pump-probe Imaging Based on Phase Correction
Zhuo-Jun XIE ; Hong-Wen ZHONG ; Run-Xiang LIU ; Bo WANG ; Ping XUE ; Bin HE
Progress in Biochemistry and Biophysics 2025;52(2):525-532
ObjectivePhotoacoustic pump-probe imaging can effectively eliminate the interference of blood background signal in traditional photoacoustic imaging, and realize the imaging of weak phosphorescence molecules and their triplet lifetimes in deep tissues. However, background differential noise in photoacoustic pump-probe imaging often leads to large fitting results of phosphorescent molecule concentration and triplet lifetime. Therefore, this paper proposes a novel triplet lifetime fitting method for photoacoustic pump-probe imaging. By extracting the phase of the triplet differential signal and the background noise, the fitting bias caused by the background noise can be effectively corrected. MethodsThe advantages and feasibility of the proposed algorithm are verified by numerical simulation, phantom and in vivo experiments, respectively. ResultsIn the numerical simulation, under the condition of noise intensity being 10% of the signal amplitude, the new method can optimize the fitting deviation from 48.5% to about 5%, and has a higher exclusion coefficient (0.88>0.79), which greatly improves the fitting accuracy. The high specificity imaging ability of photoacoustic pump imaging for phosphorescent molecules has been demonstrated by phantom experiments. In vivo experiments have verified the feasibility of the new fitting method proposed in this paper for fitting phosphoometric lifetime to monitor oxygen partial pressure content during photodynamic therapy of tumors in nude mice. ConclusionThis work will play an important role in promoting the application of photoacoustic pump-probe imaging in biomedicine.
3.Programmed Cell Death in Endometriosis and Traditional Chinese Medicine Intervention: A Review
Zuoliang ZHANG ; Wanrun WANG ; Wen LI ; Xue HAN ; Xiaohong CHEN ; Nan SU ; Huiling LIU ; Quansheng WU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(4):48-57
Endometriosis (EMT) is a common disease with frequent occurrence and difficult to be cured in modern clinical practice of obstetrics and gynaecology. It is characterized by progressively worsening dysmenorrhoea, pelvic mass, and infertility. The incidence of EMT is growing and increasingly younger patients are diagnosed with this disease, which poses a serious threat to the reproductive and psychological health of women of childbearing age and adolescent females. However, the pathogenesis of EMT is still not completely clear, and the disease has a long course. Therefore, developing new therapies is an urgent clinical problem to be solved. Great progress has been achieved in the treatment of EMT with traditional Chinese medicine (TCM), while the underlying mechanism remains in exploration. Programmed cell death (PCD) is a cell death mode mediated by a variety of bio-molecules with specific signaling cascades. The known PCD processes include apoptosis, pyroptosis, autophagy, ferroptosis, and cuproptosis, which all play a pivotal role in the development of EMT. Researchers have made achievements in the treatment of EMT with TCM, which regulates PCD via multiple pathways, routes, targets, and mechanisms. However, the progress in the regulation of PCD in the treatment of EMT with TCM remains to be reviewed. This paper reviews the research progress in the treatment of EMT with TCM from five PCD processes (apoptosis, pyroptosis, autophagy, ferroptosis, and cuproptosis), with the aim of providing a theoretical basis for the clinical prevention and treatment of EMT.
4.Mechanism study of long non-coding RNA DPP10-AS1 promotes lymph node metastasis in papillary thyroid carcinoma
Jingli XUE ; Ruijing LIU ; Wen LIU ; Yuqing WEI ; Beibei JIANG ; Yiqiang YIN ; Peifeng LI
Chongqing Medicine 2025;54(5):1066-1073,1079
Objective To screen long non-coding RNA(lncRNA)associated with lymph node metasta-sis in papillary thyroid carcinoma(PTC)and verify its function in vitro,so as to provide a theoretical basis for elucidating the molecular mechanism of lymph node metastasis in PTC.Methods lncRNA+mRNA microar-ray was used to detect the differential expression of lncRNA and mRNA in PTC cancer tissues with and with-out lymph node metastasis.Real time fluorescence quantitative PCR(qPCR)verified target differential lncR-NAs.Lentivirus was used as vector to construct high and low lncRNA expression PTC cell lines.Cell counting kit-8(CCK-8),cell scratches assay,Transwell assay,cell clone formation assay were used to detect the effects of target lncRNA on proliferation,migration,invasion,clonal formation of PTC cells.Results Compared with 5 cases of PTC tissues without lymph node metastasis,gene chips detected 119 lncRNA and 53 mRNA expres-sion levels upregulated,while 263 lncRNA and 198 mRNA expression levels down regulated in 5 cases of PTC tissues with lymph node metastasis.Furthermore,21 lncRNAs were selected for validation in the original 10 PTC samples,and the results showed that,compared with PTC tissues without lymph node metastasis,lncR-NAs FLJ20444,DPP10-AS1 and ENST00000567197 were highly expressed in PTC tissues with lymph node metastasis,while uc021thd.1,LNC00944,ENST00000429730 and BLNK were lowly expressed(P<0.05).In addition,qPCR results of another 30 fresh PTC tissues showed that compared with PTC tissues without lymph node metastasis,DPP10-AS1 was highly expressed and LNC00944 was lowly expressed in PTC tissues with lymph node metastasis(P<0.05).Cell function experiments showed that the proliferation,migration,invasion,and colony formation abilities of PTC cells in the DPP10-AS1 high expression group were higher than those in the DPP10-AS1 low expression group,and the differences were statistically significant(P<0.05).Conclusion lncRNA DPP10-AS1 may play a role in PTC metastasis through certain signaling pathways.
5.Research on Two-Dimensional Convolutional Neural Network Model for Near Infrared Spectroscopy Analysis Based on Competitive Adaptive Reweighted Sampling and Gramian Angular Difference Field
Xiao-Song ZENG ; Ke-Wei HUAN ; Xiao-Xi LIU ; Xian-Wen CAO ; Xue-Yan HAN
Chinese Journal of Analytical Chemistry 2025;53(6):955-966
Near infrared spectroscopy(NIRS)analysis technology has become an important process analysis tool in industrial and agricultural production,and has been widely used for qualitative and quantitative analysis in the fields of tobacco,agriculture,and pharmaceuticals.To address issues such as poor generalization ability and low prediction accuracy in NIRS modeling,a two-dimensional convolutional neural network(2DCNN)quantitative analysis model based on competitive adaptive reweighted sampling(CARS)and Gramian angular difference field(GADF)(CARS-GADF-2DCNN)was proposed.CARS-GADF-2DCNN used the CARS method to select an optimal wavelength set from the full spectrum,then employed GADF to encode the selection results into two-dimensional images,and finally used 2DCNN for prediction analysis.The 2DCNN model consisted of convolutional layers,parallel convolution modules,flattening layer,and fully connected layers.Simulation experiments were conducted on three public near-infrared(NIR)spectral datasets encompassing soil,tablet,and grain datasets to evaluate the CARS-GADF-2DCNN model.The results demonstrated that,compared to the one-dimensional convolutional neural network(1DCNN),the GADF-2DCNN model achieved 16.74%,23.40%,and 7.13%improvement in prediction accuracy for the soil,tablet,and grain datasets,respectively.Compared to GADF-2DCNN,VCPA-GADF-2DCNN,and IRIV-GADF-2DCNN models,the CARS-GADF-2DCNN model further improved prediction accuracy.For the soil dataset,prediction accuracy improved by 39.00%,30.78%and 4.13%;for the tablet dataset,the improvements were 9.52%,6.94%and 2.56%;for the grain dataset,the improvements were 20.57%,9.85%and 15.66%.In conclusion,CARS-GADF-2DCNN effectively selected the optimal wavelength subset from near infrared spectra,and revealed the latent features between different wavelengths.CARS-GADF-2DCNN addresses the issues of high complexity in prediction models and low prediction accuracy in near infrared spectral modeling,and could be effectively applied to near infrared spectral prediction analysis of different substances.
6.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; 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(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
7.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.
8.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.
9.Practice and evaluation of pharmacists’participation in long-term MTM models for stroke patients based on family doctor system
Lu SHI ; Chun LIU ; Lian TANG ; Jingjing LI ; Sudong XUE ; Yanxia YU ; Wenwen LI ; Keren YU ; Jianhui XUE ; Wen MA ; Hongzhi XUE
China Pharmacy 2025;36(9):1129-1134
OBJECTIVE To investigate the clinical efficacy of integrating pharmacists into family health teams (FHTs) for long-term medication therapeutical management (MTM) in stroke patients, and empirically evaluate the service model. METHODS A pharmacist team, jointly established by clinical and community pharmacists from the Affiliated Suzhou Hospital of Nanjing Medical University (hereinafter referred to as “our hospital”), developed a pharmacist-supported MTM model integrated into FHTs. Using a prospective randomized controlled design, 170 stroke patients discharged from our hospital (July 2022-December 2023) and enrolled in FHTs at Suzhou Runda Community Hospital were randomly divided into trial group (88 cases) and control group (82 cases) according to random number table. The control group received routine FHTs care (without pharmacist involvement in the team collaboration), while the trial group xhz8405@126.com received 12-month MTM services supported by pharmacists via an information platform. These services specifically included innovative interventions such as personalized medication regimen optimization based on the MTM framework, dynamic medication adherence management, medication safety monitoring, a home medication assessment system, and distinctive service offerings. Outcomes of the 2 grousp were compared before and after intervention, involving medication adherence (adherence rate, adherence score), compliance rates for stroke recurrence risk factors [blood pressure, low-density lipoprotein cholesterol (LDL-C)], and incidence of adverse drug reactions (ADR). RESULTS After 12 months, the trial group exhibited significantly higher medication adherence rates, improved adherence scores, higher compliance rates for blood pressure and LDL-C targets compared to the control group (P<0.05). The incidence of ADR in the trial group (4.55%) was significantly lower than that in the control group (8.11%), though the difference was not statistically significant (P> 0.05). CONCLUSIONS Pharmacist involvement in FHTs to deliver MTM services significantly enhances medication adherence and optimizes risk factor for stroke recurrence, offering practical evidence for advancing pharmaceutical care in chronic disease management under the family doctor system.
10.Genetic mutation characteristics of iodine-refractory papillary thyroid carcinoma
Beibei JIANG ; Yiqiang YIN ; Ruijing LIU ; Wen LIU ; Jingli XUE ; Min LI ; Peifeng LI
Chinese Journal of Clinical and Experimental Pathology 2025;41(1):37-43
Purpose To investigate the genetic mutation characteristics and its correlation with clinicopathologic characteristics of radioactive iodine-refractory papillary thyroid cancer(RAIR-PTC).Methods PTC gene mutation detection kit was constructed based on the characteristics of PTC gene mutation.37 cases of RAIR-PTC tumor samples and 36 cases of radioiodine-avid thyroid papillary carcinoma tumor samples were detected by multiple PCR sequencing.The mutation of PTC tumor samples was identified by bioinformatics analysis,and the correlation between gene muta-tions and clinicopathological characteristics of patients was statistically analyzed.Results BRAF,TERT,TP53,AKT1 and NRAS gene mutations were detected in RAIR-PTC tumor samples,with BRAF V600E and TERT promoter mutation rates of 70.3%and 24.3%,respectively.Gene mutation of RAIR-PTC often manifested as the accumulation of multiple gene mutations,with co-mutations of BRAF or RAS and TERT promoter being the most common,and these co-mutations were significantly associated with patients'progression-free survival of PTC.Conclusion The accumula-tion of gene mutation can promote the occurrence of RAIR-PTC.TERT promoter mutation is a late event of PTC.TERT promoter mutation and co-mutations of BRAF or RAS and TERT promoter can help to evaluate the possibility of iodine refractory in PTC patients,in whom the therapeutic effect of radioactive iodine should be closely monitored and the ac-curate and effective treatment should be took as soon as possible.


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