1.Monitoring of mutation evolution of 128 genes in acute myeloid leukemia based on high-throughput NGS technology
Jie XIAO ; Xiaobo YAN ; Xiaoxuan WANG ; Yuquan LI ; Xing ZHANG ; Ziyuan LU ; Jixian HUANG
Journal of Leukemia & Lymphoma 2025;34(5):303-310
Objective:To investigate the patterns of mutation evolution in patients with acute myeloid leukemia (AML) during treatment and the possible clinical significances.Methods:A retrospective case series study was conducted. A total of 103 AML patients who were hospitalized at the Affiliated Yuebei People's Hospital of Medical College of Shantou University from November 2019 to August 2021 and underwent high-throughput next-generation sequencing (NGS) technology to detect the mutations of 128 AML-related genes in bone marrow samples were selected. Based on the NGS results, the somatic gene mutations in samples of patients collected at initial diagnosis (73 cases), complete remission (CR) (30 cases), non-remission (NR) (23 cases), and recurrence (12 cases) were analyzed, and the targeted drugs involved in the gene mutations detected in NR and recurrence samples were summarized.Results:The median age [ M ( Q1, Q3)] of onset for 103 patients was 58 (48, 66) years, including 64 males (61%) and 39 females (39%); 86 cases (83%) were primary AML, and 17 cases (17%) were secondary AML; at the initial diagnosis, 51 cases (50%) had normal karyotypes, 34 cases (33%) had abnormalities, and 18 cases (17.5%) were unknown. Compared with the CR samples, the mutation frequencies of FLT3 [29% (21/73) vs. 3% (1/30)], NPM1 [27% (20/73) vs. 3% (1/30)], NRAS [22% (16/73) vs. 3% (1/30)], and IDH2 [14% (10/73) vs. 0 (0/30)] were all higher in the initial diagnosis samples, and the differences were statistically significant (all P < 0.05); compared with the initial diagnosis sample, the median number of gene mutations in each CR sample was lower [4 (2, 5) vs. 7 (5, 9)], and the difference was statistically significant ( P < 0.001). However, there was no statistically significant difference in the median number of gene mutations in each patient between the initial diagnosis samples and the NR samples, the initial diagnosis samples and the recurrence samples, and the NR samples and the recurrence samples (all P > 0.05). Analysis of 14 patients with NGS data at initial diagnosis and CR showed that the same gene mutations could be detected at initial diagnosis and CR, such as DNAH23 (3 cases), USH2A (3 cases), etc; partial gene mutations were detected at initial diagnosis but were not detected at CR, including NRAS (5 cases), FLT3 (3 cases), ANKRD26 (3 cases), NPM1 (3 cases), ETV6 (3 cases), etc; ARID1B (1 case) and DNMT3A (1 case) were negative for mutations at initial diagnosis but positive upon reaching CR. Analysis of 14 patients with NGS data at initial diagnosis and NR showed that most gene mutations persisted at initial diagnosis and NR, such as DNMT3A (5 cases), NRAS (5 cases), KRAS (3 cases), RUNX1 (3 cases), etc; the mutant genes detected at initial diagnosis but not detected at NR included USH2A (2 cases), PCLO (2 cases), ATM (2 cases), FAT1 (2 cases), etc; partial gene mutations were not detected at initial diagnosis but were detected at NR, such as FAT1 (2 cases), TCF3 (2 cases), etc. Analysis of 5 patients with NGS data at CR and recurrence showed that some gene mutations were detected at both CR and recurrence, such as BCORL1 (1 case), ARID2 (1 case), SETD2 (1 case), VEGFC (1 case), etc; FLT1 (1 case) and GNAS (1 case) gene mutations were detected at CR but not detected at recurrence; at recurrence, some gene mutations that were not detected at CR were also detected, such as ANKRD26 (1 case), WT1 (1 case), etc. Among the 23 NR samples and 12 recurrence samples, the targets of drugs approved by US Food and Drug Administration or in clinical trials were detected in 14 (61%) and 5 (42%) samples respectively, including IDH1, IDH2, FLT3, KIT, KRAS, NRAS, SF3B1, U2AF1, and SRSF2. Conclusions:The number of gene mutations in AML patients during CR is significantly less than that at initial diagnosis, some gene mutations disappear when CR is achieved through treatment, but the majority of gene mutations persist during the treatment period, including NR and recurrence, suggesting that monitoring through NGS technology can help understand the evolution of gene mutations during AML treatment and discover the potential therapeutic targets.
2.Impact of daily diet on military training injuries among high-altitude officers and soldiers
Yutong DONG ; Maolin YANG ; Yangkai ZHANG ; Junjiang YANG ; Xiaobo LI ; Mo LI ; Chen ZHANG ; Yan RUAN ; Junlei ZHANG ; Yan HU
Journal of Army Medical University 2025;47(1):30-37
Objective To explore the characteristics of military training injuries in high-altitude troops and determine the possible impact of daily diet on these training injuries in order to provide theoretical reference for scientific training and medical service support for high-altitude troops.Methods A cross-sectional scheme was adopted in this study.A self-designed Military Training Injury Questionnaire for Plateau Troops was used to survey the officers and soldiers from resident high-altitude troops in July 2024 for their training injuries,daily diet,and other situations.The obtained data were statistically analyzed.Results Among the 3 655 participants,the incidence of military training injuries was 17.87%.The subject with highest incidence was physical training(45.94%),the most common season was winter(31.39%).The most common sites of injury were waist(28.48%),knees(22.21%),and ankles(18.07%),and the most common types were sprains(28.48%),chronic fatigue injuries(18.38%)and strains(12.25%).The intake amounts of coarse grains and potatoes,bean products,aquatic products and nuts were relatively low in the daily diet of high-altitude troops.Multivariate logistic regression analysis found intake of fruit(OR=0.625,95%CI:0.508~0.768,P<0.001)and of nut(OR=0.759,95%CI:0.654~0.879,P<0.001)were correlated with the occurrence of training injury.Conclusion The occurrence pattern of military training injuries in high-altitude troops in this survey is basically consistent with that of previous reports,but the incidence rate is slightly decreased.Regular consumption of fruit and nut may be protective factors for the occurrence of training injuries.
3.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.
4.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
5.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; 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 ; 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 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 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
6.Clinical and genetic analysis of four patients with Phelan-McDermid syndrome due to variants of SHANK3 gene
Liangqiong DENG ; Xuan ZENG ; Linyan LIAO ; Xiaobo XIONG ; Aiwen LI ; Yan MEI ; Liujuan ZHANG ; Dejian YUAN
Chinese Journal of Medical Genetics 2025;42(5):563-567
Objective:To explore the clinical phenotype and genetic characteristics of four patients with Phelan-McDermid syndrome (PMS) due to variants of SHANK3 gene. Methods:Four patients diagnosed with PMS at Guangzhou Women and Children′s Medical Center Liuzhou Hospital from January 2020 to January 2025 were selected as the study subjects. Clinical data of the patients were collected. Peripheral venous blood samples were collected from each patient for the extraction of genomic DNA, followed by whole-exome sequencing (WES) and validation by Sanger sequencing. Pathogenicity of candidate variants was rated based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), and multiple bioinformatic tools were used to assess the pathogenic effects of the variants. The study was approved by the Ethics Committee of the Guangzhou Women′s and Children′s Medical Center Liuzhou Hospital (Ethics No. 2025-007).Results:All four patients had exhibited language delay and intellectual disability (IQ 35 ~ 65). Some also presented with autism spectrum disorder and schizophrenia, albeit with significant phenotypic heterogeneity. All patients were found to harbor deletions of 22q13.33 region, ranging from 55.46 kb to 112.64 kb, primarily involving the SHANK3 gene. Conclusion:PMS is typically caused by deletions or mutations of the SHANK3 gene. The clinical manifestations are diverse, with developmental delay and intellectual disability being the most common. Accurate diagnosis requires integration of genetic testing and standardized clinical assessment. Genetic screening for suspected patients and at-risk pregnant women is recommended to facilitate their genetic counseling.
7.Epidemiological characteristics and spatio-temporal evolution of severe fever with thrombocytopenia syndrome in Henan Province from 2011 to 2022
Shaoning QU ; Su YAN ; Qiongli CHEN ; Chengcheng AN ; Xiaobo LIU ; Jingjing PAN ; Liping YANG
Chinese Journal of Zoonoses 2025;41(7):749-754
This study was aimed at exploring the epidemic characteristics and spatio-temporal evolution patterns of severe fever with thrombocytopenia syndrome(SFTS)in Henan Province from 2011 to 2022,to provide a reference for prevention and control ef-forts.Data on SFTS in Henan Province from 2011 to 2022 were collected from the Information Management System for Infectious Dis-ease Reporting,and epidemiological characteristics and spatio-temporal evolution patterns were investigated through spatial autocorre-lation analysis,standard deviation ellipse analysis,and spatial-centered transfer curves,on a district-county basis.From 2011 to 2022,a total of 5 471 SFTS cases associated with 81 deaths were reported in Henan Province.The incidence rate showed an increasing trend(χ2trend=23.24,P<0.001),and the average annual incidence was 0.4 677/100 000.The case-fatality rate showed a decreasing trend from 2011 to 2019(χ2trend=8.86,P=0.003),but an increasing trend from 2020 to 2022(χ2trend=12.93,P<0.001).The average an-nual case-fatality rate was 1.48%.The peak incidence period was from May to July;this period accounted for 58.75%of the total cases.Females(59.39%),individuals 60-80 years old(55.40%),and farmers(96.64%)were the high prevalence groups.The disease was distributed primarily in Xinyang City,and Shangcheng County had the highest incidence rate(27.411 8/100 000).Spatial aggregation was observed in the southeastern region(Moran's I>0,P<0.001),and the disease centers were all located in Guangshan County,Xin-yang City,and showed southeast-northwest-southeast-northwest-southeast-northeast-southwest movement during the 12-year pe-riod.In conclusion,from 2011 to 2022,SFTS in Henan Province had a high incidence in May to July,and females,older people,and farmers were the high-risk groups.Spatial aggregation was observed in the southeastern region,along with spread to surrounding areas.Xinyang City is therefore a key area for the prevention and control of SFTS.
8.Correlation of changes in inner retinal irregularity index after idiopathic macular epiretinal membrane stripping with visual function
Xiaobo ZHU ; Yan SU ; Xiaoling YAN ; Shuo ZHAO ; Wenbin WEI
Recent Advances in Ophthalmology 2025;45(9):711-714
Objective To investigate the correlation between changes in the inner retinal irregularity index(IRII)af-ter macular epiretinal membrane(ERM)stripping and visual function in patients with idiopathic macular epiretinal mem-brane(IMEM).Methods A retrospective analysis was conducted on the clinical data of 134 patients(162 eyes)with IMEM who visited our hospital from March 2022 to December 2024.Based on fundus color photography and OCT findings,the patients were divided into the cellophane macular reflex(CMR)group and the preretinal macular fibrosis(PMF)group.Differences in central macular thickness(CMT),best-corrected visual acuity(BCVA),inner retinal thickness(IRT),and IRII were analyzed between the two groups.The diagnostic efficacy of these indicators for IMEM at admission was analyzed using receiver operating characteristic(ROC)curves.The differences in visual function indicators and IRII before and 3 months after ERM stripping were compared in IMEM patients.The correlation between IRII levels and visual function parameters at 3 months postoperatively was analyzed using Pearson correlation analysis.Results Among the 134 patients(162 eyes)with IMEM,93 patients(103 eyes)were in the CMR group and 41 patients(59 eyes)were in the PMF group.The CMT,IRT,and IRII were significantly lower in the CMR group than in the PMF group(all P<0.05).The areas under the curve(AUC)for CMT,IRT,and IRII were 0.616,0.609,and 0.862,respectively(all P<0.05).Among the 134 patients(162 eyes)with IMEM,79 patients(86 eyes,53.86%)underwent surgical treatment,and 55 patients(76 eyes,46.91%)received non-surgical treatment.Three months after surgery,the CMT,IRT,and IRII in IMEM patients were sig-nificantly lower than those before surgery(all P<0.05).At 3 months postoperatively,CMT and IRT were significantly pos-itively correlated with IRII in IMEM patients(all P<0.05).Conclusion CMT,IRT,and IRII all have good diagnostic ef-ficacy for IMEM staging.Moreover,IRII changes in IMEM patients who underwent macular ERM stripping are positively correlated with visual function.
9.Early-stage multi-marker assay development and validation for esophageal adenocarcinoma
Nuobei ZHAO-LIU ; Xiaomei ZHANG ; Meng XU ; Yan JIA ; Hao CHEN ; Jing YANG ; Xiaobo YU
Chinese Journal of Immunology 2025;41(4):972-978
Objective:Given the insufficiency of current clinical biomarkers for early diagnosis of esophageal adenocarcinoma(EAC),this study developed a panel of serum protein biomarker assays using liquid-phase chip technology and preliminarily validated the detection capabilities of these markers for EAC.Methods:Collected serum samples from 48 patients with EAC and 33 age-matched healthy controls(HC).The levels of squamous cell carcinoma antigen(SCCA),human cytokeratin 19 fragment(Cyfra21-1),hepatocyte growth factor(HGF)and IL-8 in serum were analyzed by liquid chip technology.The diagnostic efficacy of a single indicator and a combination of four indicators were evaluated by receiver operation characteristic(ROC)curve.Results:The detection ranges of SCCA,Cyfra21-1,HGF and IL-8 were 0.24~1 000 ng/ml,45.72~100 000 pg/ml,21.95~16 000 pg/ml,and 0.61~10 000 pg/ml,respectively.The liquid chip technology shows a strong correlation with clinical chemiluminescence immunoassay(r=0.949 4,P<0.000 1)and ELISA technology(r=0.955 1,P<0.000 1).Compared to the HC group,serum levels of SCCA and HGF were signifi-cantly elevated in the EAC group(P<0.01),IL-8 was significantly decreased(P<0.05),while Cyfra21-1 shows no significant difference(P>0.05).In the early EAC group,serum HGF was significantly higher than in the HC group(P<0.01).ROC curve analysis shows that among individual markers,HGF exhibits the best diagnostic efficacy for early EAC with an area under the curve(AUC)of 0.761,while the AUC for the combination of the four biomarkers was 0.857,both superior to the clinical biomarkers SCCA(AUC=0.604)and Cyfra21-1(AUC=0.515).Conclusion:Liquid chip technology is used to jointly detect SCCA,Cyfra21-1,HGF,and IL-8 in human serum.In the early diagnosis of EAC,the diagnostic efficacy of the combined use of these four biomarkers is superior to that of the commonly used clinical tumor markers SCCA and Cyfra21-1.This advantage stems from the high throughput and high sensitivity characteristics of liquid-phase chip technology.Consequently,this combined detection method holds significant clinical application and is expected to provide a more accurate and reliable tool for the early diagnosis of EAC.
10.Clinical and genetic analysis of four patients with Phelan-McDermid syndrome due to variants of SHANK gene.
Liangqiong DENG ; Xuan ZENG ; Linyan LIAO ; Xiaobo XIONG ; Aiwen LI ; Yan MEI ; Liujuan ZHANG ; Dejian YUAN
Chinese Journal of Medical Genetics 2025;42(5):563-567
OBJECTIVE:
To explore the clinical phenotype and genetic characteristics of four patients with Phelan-McDermid syndrome (PMS) due to variants of SHANK3 gene.
METHODS:
Four patients diagnosed with PMS at Guangzhou Women and Children's Medical Center Liuzhou Hospital from January 2020 to January 2025 were selected as the study subjects. Clinical data of the patients were collected. Peripheral venous blood samples were collected from each patient for the extraction of genomic DNA, followed by whole-exome sequencing (WES) and validation by Sanger sequencing. Pathogenicity of candidate variants was rated based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), and multiple bioinformatic tools were used to assess the pathogenic effects of the variants. The study was approved by the Ethics Committee of the Hospital (Ethics No. 2025-007).
RESULTS:
All four patients had exhibited language delay and intellectual disability (IQ 35 ~ 65). Some also presented with autism spectrum disorder and schizophrenia, albeit with significant phenotypic heterogeneity. All patients were found to harbor deletions of 22q13.33 region, ranging from 55.46 Kb to 112.64 Kb, primarily involving the SHANK3 gene.
CONCLUSION
PMS is typically caused by deletions or mutations of the SHANK3 gene. The clinical manifestations are diverse, with developmental delay and intellectual disability being the most common. Accurate diagnosis requires integration of genetic testing and standardized clinical assessment. Genetic screening for suspected patients and at-risk pregnant women is recommended to facilitate their genetic counseling.
Child
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Humans
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Chromosome Deletion
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Chromosome Disorders/genetics*
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Chromosomes, Human, Pair 22/genetics*
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Exome Sequencing
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Nerve Tissue Proteins/genetics*
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Phenotype

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