1.Associations between long working hours, leisure-time physical activity, and work-related musculoskeletal disorders among multi-industry workers in Nanchong
Jing QIU ; Hairong WANG ; Wei ZHOU
Journal of Environmental and Occupational Medicine 2025;42(5):602-607
Background Work-related musculoskeletal disorders (WMSDs) are considered to be one of the biggest health problems in the workplace, seriously affecting the productivity and quality of life of the working population. Long working hours may associate with WMSDs, and leisure-time physical activity (LTPA) is beneficial for WMSDs. However, the independent and combined effects of these two factors on WMSDs remain poorly understood. Objective To explore the independent and joint relationships between long working hours, leisure time physical activity (LTPA), and WMSDs, and to provide a basis for prevention and intervention of WMSDs. Methods A cross-sectional survey was conducted among
2.Application of next-generation sequencing technology for the investigation of immunoglobulin variable region characteristics and their prognostic significance in patients with chronic lymphocytic leukemia
Zhen GUO ; Huimin JIN ; Tonglu QIU ; Liying ZHU ; Yujie WU ; Hairong QIU ; Yan WANG ; Yi MIAO ; Hui JIN ; Lei FAN ; Jianyong LI ; Yi XIA ; Chun QIAO
Chinese Journal of Hematology 2025;46(3):261-268
Objective:To elucidate the genomic characteristics of the immunoglobulin (IG) heavy-chain variable region and light-chain variable region, the expression of subclones, and the prognostic significance in patients with CLL.Methods:Blood and/or bone marrow specimens were gathered from a cohort of 36 patients with CLL diagnosed at Jiangsu Province Hospital from December 2018 to May 2023, including 12 cases of B cell receptor (BCR) stereotyped patients. IG heavy-chain (IGH) and light-chain (IG Kappa [IGK] and IG lambda [IGL]) gene rearrangements were performed using next-generation sequencing (NGS) technology to analyze the characteristics and prognostic value in CLL.Results:NGS detection of IG variable region (IGHV) demonstrated a significant correlation and superior consistency with Sanger sequencing ( r=0.957, P < 0.001). Among the 36 patients, the IGH variant (IGHV) was observed in 9 (25.0%) but not in 27 (75.0%) participants. The incidence of the MYD88 mutation was higher among patients with mutated IGHV [1/27 (3.7%) vs 4/9 (44.4%), P=0.00]. A high incidence of trisomy 12 was observed in the IGHV #8/#8B subset [4/11 (36.4%) vs 1/25 (4.0%), P=0.023], which were more likely to develop Richter transformation [8/11 (72.7%) vs 4/25 (16.0%), P=0.002]. In the patient cohort, 36 individuals (36/36, 100.0%) used the IGK variable, whereas 15 individuals (15/36, 41.7%) employed the IGL variable (IGLV). IGLV3 - 21 reported the highest utilization rate in IGLV (5/15, 33.3%). Remarkably, patients with CLL with IGLV3-21 fragments were exclusively observed in the Binet C stage and Rai Phase Ⅲ-Ⅳ, with an incidence of del (13) (q14) at 60.0% (3/5). The median time to first treatment (TTFT) of patients with or without IGLV3 - 21 fragments was 5.2 (1.1 - 41.5) and 9.9 (0.1 - 94.4) months, respectively. Using the total reads threshold of 2.5%, 4 (4/36, 11.1%) samples were detected to have two IGHV productive clones. The median TTFT and overall survival (OS) time were 2.8 (0.9-72.7) and 12.8 months in patients with one mutated clone and 57.5 (32.0-120.7) and 51.8 months in those with two mutated clones, respectively. The median TTFT and OS time were 10.9 (0.3-94.4) and 6.3 (0.1 - 12.5) months in patients with one unmutated clone and 49.9 (22.2 - 211.1) and 30.0 (9.6 - 50.3) months in those with multiple unmutated clones, respectively ( P>0.05) . Conclusions:Detection of IG gene rearrangements using NGS technology not only facilitates the analysis of the IGHV mutation status, dominant clones, and prognostic value but also contributes to the exploration of IGK/IGL gene rearrangement fragments and the utilization of subclones. Further, it provides information about the poor prognosis of IGLV3 - 21 CLL. The shortened survival of the two unmutated clone groups in the IGHV unmutated group may indicate a poor prognosis.
3.Orthostatic hypotension-related serum biomarkers in patients with multiple system atrophy
Jilin CHEN ; Hairong QIAN ; Xiaohui YANG ; Qianyao WANG ; Na REN ; Min LI ; Hua LI
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(11):1543-1546
Objective To explore the related influencing factors of orthostatic hypotension in patients with multiple system atrophy(MSA).Methods A retrospective study was conducted on 40 elderly MSA patients with orthostatic hypotension(MSA group)admitted to our department from January 2024 to March 2025,and another 46 elderly healthy individuals without orthostatic hypotension who taking physical examination were subjected and served as control group.General clinical data and related clinical indicators were compared between the two groups,and the related serum biomarkers of orthostatic hypotension in MSA patients were analyzed.Results The levels of vitamin D,low-density lipoprotein cholesterol(LDL-C),and uric acid were significantly lower in the MSA group than the control group(P<0.05,P<0.01).Multivariate logistic regression analysis showed that vitamin D,LDL-C,and uric acid levels were risk factors for the occurrence of orthostatic hypotension in MSA patients(OR=0.677,95%CI:0.530-0.864,P<0.01;OR=0.057,95%CI:0.007-0.434,P<0.01;OR=0.972,95%CI:0.954-0.992,P<0.01).ROC curve analysis indicated that the optimal cut-off value of vitamin D,LDL-C,and uric acid levels in predicting the occurrence of orthostatic hypotension in MSA patients was 21.850 μg/L,2.895 mmol/L,and 274.500 μmol/L,the sensitivity was 0.848,0.630 and 0.783,and the specificity was 0.792,0.750 and 0.667,and the AUC value was 0.862,0.683 and 0.748,respectively.Conclusion Monitoring serum biomarkers,such as vitamin D,LDL-C,and uric acid may be helpful for the risk assessment and management of orthostatic hypotension in MSA patients.
4.Effect of acupuncture pretreatment on nerve cell ferroptosis in ischemic stroke
Ying GAO ; Jian YANG ; Jiangwei SHI ; Jing XUE ; Xiaoyu SHANG ; Hongtao DUAN ; Hairong WANG
Chinese Journal of Arteriosclerosis 2025;33(1):24-29
Aim To study the regulatory effect of acupuncture pretreatment on ferroptosis of nerve cells in rats with ischemic stroke.Methods Sixty SD rats were randomly divided into sham middle cerebral artery occlusion(MCAO)group,MCAO group,and acupuncture+MCAO group.In the acupuncture+MCAO group,the acupuncture points of DU26,PC6,and SP6,were selected for acupuncture pretreatment,once a day for a total of 5 days.After pre-treatment,MCAO or sham MCAO models were prepared.The Zausinger sextintegral method was used to score the neuro-logical function of rats,and the infarct volume of brain tissue was calculated by TTC staining.Electron microscopy was used to observe the pathomorphological changes of brain tissue.The iron content was detected by colorimetric method,the content of malondialdehyde(MDA)and glutathione(GSH)was determined by ELISA,and the expression of glutathione peroxidase 4(GPX4)was detected by immunofluorescence.Results Compared with the sham MCAO group,the MCAO group had a decrease in neurological function scores,a significant increase in infarct volume,a decrease in the number of mitochondria under electron microscopy,a rupture and vacuolization of the inner mitochondrial cristae,an in-crease in the contents of iron and MDA in brain tissue,and a decrease in GSH content and GPX4 expression.Compared with the MCAO group,the acupuncture+MCAO group had an increase in neurological function scores,a decrease in infarct volume,a large number of mitochondria under electron microscopy,a clear structure,a decrease or disordered arrangement of some mitochondrial crest structures,a decrease in the contents of iron and MDA in brain tissue,and an increase in GSH content and GPX4 expression.Conclusion Acupuncture pretreatment can alleviate neurological damage in rats,and its mechanism may be related to regulating iron,GSH and MDA contents in brain tissue,and GPX4 expression,improving cell antioxidant capacity and inhibiting nerve cell ferroptosis.
5.Clinical characteristics and molecular genetic analysis of a family with c.1001A>C mutation in the FGG gene of fibrinogen
Hairong DING ; Chen WANG ; Dong ZHENG ; Cifu QU ; Jun QIU
Chinese Journal of Clinical Laboratory Science 2025;43(7):514-519
Objective To investigate the coagulation abnormalities and molecular genetic characteristics of a family with asymptomatic inherited fibrinogen disorders(IFD).Methods The clinical data of a family with IFD,including 5 individuals from two generations,were collected.Their peripheral blood coagulation indicators were detected.The coding sequences of FGA,FGB and FGG genes were amplified by PCR and Sanger sequencing was used to identify the candidate variants,which were further validated in the family mem-bers.The bioinformatic software was used to analyze the pathogenicity and conservation of the missense mutation and its effect on the spatial structure and function of the protein.Results The IFD patients had significantly low fibrinogen antigen(Fg:Ag)concentration and fibrinogen coagulation(Fg:C)activity concentration as well as prolonged thrombin time(TT),while coagulation indicators of the unaffected relatives were normal.The results of Sanger sequencing showed that all IFD patients carried a heterozygous missense variant of c.1001A>C(p.Asn334Thr)in the FGG gene.The bioinformatic analysis suggested that Asn334Thr was a pathogenic variant,while homology analysis indicated that the Asn334 locus was highly conserved in evolution.The analysis of protein spatial structure showed that the Asn334Thr mutation altered hydrogen bonds between amino acids.Conclusion The heterozygous missense variant c.1001A>C(p.Asn334Thr)in the FGG gene may be the pathogenic cause of the proband.The finding enriches the spectrum of FGG gene mutations and provides experimental evidence for the genetic counseling of affected families.
6.Application of chromosomal microarray analysis in prenatal diagnosis of fetal growth restriction
Yulong TONG ; Hong PAN ; Li YU ; Jie FU ; Xueyin WANG ; Hairong WU ; Lin LI ; Yinan MA ; Huixia YANG
Chinese Journal of Perinatal Medicine 2025;28(3):203-210
Objective:To explore the value of chromosomal microarray analysis (CMA) in the genetic diagnosis of different types of fetal growth restriction (FGR).Methods:A retrospective analysis was conducted on 120 cases who were diagnosed with FGR by ultrasound and underwent prenatal diagnosis at the Department of Obstetrics & Gynecology and Reproductive Medicine, Peking University First Hospital, from January 2016 to December 2021. The cases were divided into three groups based on the gestational age at the first diagnosis:<28 weeks (40 cases), 28-31 +6 weeks (65 cases), and ≥32 weeks (15 cases). They were also categorized into isolated and non-isolated FGR based on the presence of other ultrasound abnormalities (69 and 51 cases in each). Chromosomal karyotype analysis and CMA were conducted on all patients. The prenatal diagnosis results were analyzed, as well as the detection of chromosomal abnormalities in different gestational age groups and types of FGR. Statistical analysis was performed using Fisher's exact test. Results:(1) A total of 14 abnormalities were detected by CMA and four cases were detected by chromosomal karyotype analysis. The abnormal detection rate of CMA was higher than that of chromosomal karyotype analysis [11.7% (14/120) vs. 3.3% (4/120), P=0.025]. Among the total 14 cases of chromosomal abnormalities, there were seven pathogenic copy number variations (CNVs) and four variants of unknown significance (VUS), as well as two cases of trisomy-18 and one case of Turner syndrome. Among the 14 cases, eight had associated ultrasound abnormalities. Eleven of the 14 cases opted for induced abortion; three continued pregnancy to delivery, with two neonates showing no abnormalities and one exhibiting slightly delayed physical development. Both methods detected three cases of aneuploidy mnumber abnormalities (2.5%, 3/120) For chromosomal abnormalities <10 Mb, the detection rate of CMA was higher than that of chromosomal karyotype analysis [9.2% (11/120) vs. 0.8% (1/120), Fisher's exact, P=0.005]. Both methods detected one case of <10 Mb CNV, while CMA alone detected ten cases of <10 Mb microdeletions/microduplications (8.3%, 10/120), including six cases of pathogenic CNVs and four cases of VUS. (2) Among the 40 cases in the <28 weeks group, six cases (15.0%) of chromosomal abnormalities were detected, including three cases of aneuploidy, two cases of pathogenic CNVs, and one case of VUS. Among the 65 cases in the 28-31 +6 weeks group, seven cases (10.8%) of chromosomal abnormalities were detected, including five cases of pathogenic CNVs and two cases of VUS. Of the 15 cases in the ≥32 weeks group, one case of chromosomal abnormality was detected, which was VUS. (3) No statistically significant difference was found in the detection rate of chromosomal abnormalities between the isolated FGR and the non-isolated FGR groups [8.7%(6/69) vs. 15.7%(8/51), Fisher's exact, P=0.263]. (4) After excluding the ≥32 weeks non-isolated FGR group (only one case), the <28 weeks non-isolated FGR group had the highest detection rate of chromosomal abnormalities (1/18), while no abnormalities were detected in the ≥32 weeks isolated FGR group. Conclusions:Among FGR fetuses, the highest detection rates of chromosomal abnormalities are found in early-onset and non-isolated FGR. Prenatal diagnosis with CMA testing can significantly improve the detection rate of genetic causes in various types of FGR fetuses.
7.A study on the distribution patterns of traditional Chinese medicine syndrome types in antipsychotic-induced metabolic syndrome
Shulian XIAN ; Hongxiao JIA ; Xue LI ; Di WANG ; Mingkang SONG ; Dongqing YIN ; Hairong JIANG
Journal of Capital Medical University 2025;46(3):463-470
Objective To explore the distribution patterns of traditional Chinese medicine(TCM)syndromes in patients with metabolic syndrome caused by antipsychotic drugs.Methods A standardized TCM syndrome survey was performed to collect diagnostic information from 160 patients diagnosed with metabolic syndrome due to antipsychotic drug use.Subsequent frequency analysis,cluster analysis,and Bayesian network analysis were carried out.The syndrome pattern distribution was ultimately determined through relevant literatures and expert opinions.Results Five TCM syndromes were identified through frequency,cluster,and Bayesian network analyses.The most common syndrome was qi deficiency with phlegm-dampness(30%),followed by spleen deficiency with phlegm-Heat(23.75%),qi and yin deficiency Pattern(21.88%),yin deficiency with damp-heat(17.50%),and stomach fire hyperactivity pattern(6.88%).Conclusion The pathogenesis of antipsychotics-induced metabolic syndrome involves a complex interplay of deficiency and excess factors.The primary disease is mainly located at the spleen and stomach,with involvement of the liver,kidney,and heart.Pathogenic factors include qi deficiency,yin deficiency,dampness,heat,pathogenic fire,and phlegm.
8.Diagnostic value of AI-based motion assessment in differentiation of Parkinson's disease and multiple system atrophy-Parkinsonian type
Qianyao WANG ; Na REN ; Jilin CHEN ; Hua LI ; Min LI ; Shufeng ZHANG ; Jin YU ; Hairong QIAN
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(4):482-487
Objective To use AI-assisted motor dysfunction assessment for quantitative evaluation of motor function in Parkinson's disease(PD)and multiple system atrophy-Parkinsonian type(MSA-P)in order to achieve accurate differential diagnosis.Methods A total of 105 participants aged ≥60 years were consecutively enrolled from the First and Third Medical Centers of Chinese PLA General Hospital between January and September 2024.Based on diagnostic criteria,they were divided into a PD group(48 cases),a MSA-P group(31 cases),and a control group(26 cases).The general information was collected,and the motor function was evaluated with Move-ment Dysfunction Assessment Software in order to assess the diagnostic value of the AI-assisted assessment in differentiating between PD and MSA-P.Results Significantly differences were observed among the three groups in terms of facial expression indicators,bilateral finger tapping frequency,bilateral hand movement frequency,right hand movement amplitude change rate,bilat-eral palm flipping frequency,bilateral toe tapping frequency,freezing load of bilateral toe tapping,bilateral leg flexibility frequency,right leg flexibility amplitude change rate,freezing load of bilat-eral leg flexibility,upright extension angular velocity,turnaround time,forward step frequency,backward step frequency,forward average stride length,backward average stride length,forward average walking speed,backward average walking speed,forward average step width,backward average step width,bilateral postural tremor frequency,bilateral postural tremor maximum am-plitude,bilateral action tremor frequency,bilateral action tremor maximum amplitude,and com-parison of bilateral resting tremor frequency(P<0.05,P<0.01).The MSA-P group exhibited significantly lower blink frequency,maximum amplitude and frequency of facial tremors,upright extension angular velocity,and step frequency,while higher ratio of mouth opening duration and longer turnaround time when compared with the PD group(P<0.05,P<0.01).The AUC value of the combined nine motor function indicators and the five facial expression indicators in differ-entiating PD from MSA-P was 0.943(95%CI:0.895-0.991,P=0.000)and 0.925(95%CI:0.870-0.981,P=0.000),respectively,both better than that of individual indicators.Conclusion Combi-nation assessment of facial expression,posture,gait with AI assistance can contribute to the dif-ferential diagnosis of PD and MSA-P.
9.Study on the value of superb microvascular imaging in prediction of ovarian cancer staging
Min XIE ; Hui WANG ; Xiaoya DING ; Liqing CUI ; Yu ZHONG ; Hairong ZOU ; Yiyi CAO
Chongqing Medicine 2025;54(7):1571-1575,1580
Objective To evaluate the application value of superb microvascular imaging(SMI)in pre-dicting ovarian cancer staging.Methods One hundred and thirty-six patients with ovarian cancer who under-went surgical treatment in our hospital from March 2019 to May 2024 were enrolled.Transvaginal,transab-dominal low-frequency,and transabdominal high-frequency two-dimensional grayscale imaging,Color Doppler Flow Imaging(CDFI),and SMI were performed before surgery for staging prediction.Taking surgical-patho-logical staging as the gold standard,the sensitivity,specificity,and accuracy of the combined application of transvaginal SMI,transabdominal low-frequency SMI,and transabdominal high-frequency SMI for predicting ovarian cancer staging were calculated.The receiver operating characteristic(ROC)curve was established,the area under the ROC curve(AUC)was calculated,and the diagnostic efficacy of SMI for predicting ovarian cancer staging was determined.Results The combined application of transvaginal SMI,transabdominal low-frequency SMI,and transabdominal high-frequency SMI for predicting ovarian cancer staging showed that sen-sitivity was 89.35%,92.36%,81.65%,and 83.21%for stages Ⅰ,Ⅱ,Ⅲ,Ⅳ,respectively;specificity was 86.93%,84.29%,83.39%,and 82.88%;accuracy was 92.50%,94.38%,80.15%,and 84.96%;and AUC was 0.799,0.760,0.695,and 0.727.Conclusion SMI has a high application value in predicting the stage of ovarian cancer,especially for stage Ⅰ and stage Ⅱ ovarian cancer.
10.Association of serum uric acid trajectories with renal function progression and diabetic kidney disease in elderly patients with type 2 diabetes mellitus
Yijia CHEN ; Qiannan SUN ; Weiwei WANG ; Hairong ZHOU ; Huafeng YANG ; Xin HONG
Chinese Journal of Endocrinology and Metabolism 2025;41(9):740-746
Objective:To investigate the association between serum uric acid trajectories and the risk of renal function decline and diabetic kidney disease(DKD) incidence in elderly patients with type 2 diabetes mellitus.Methods:This retrospective cohort study included 5 037 elderly patients with type 2 diabetes mellitus aged 60 years and above who underwent at least three health examinations between 2019 and 2023, with 2019 as the baseline. Latent growth mixture modeling(LGMM) was employed to identify distinct serum uric acid trajectories. Renal function changes and DKD incidence were followed from 2020 to 2023. Binary logistic regression models were used to assess the association between serum uric acid trajectories and the risks of renal function decline and DKD.Results:Two distinct serum uric acid trajectory groups were identified based on model selection criteria: A stable group( n=4 485, 89.04%) and an inverted U-shaped group( n=552, 10.96%). After adjusting for potential confounders, compared with the stable trajectory group, the inverted U-shaped group showed a significantly increased risk of estimated glomerular filtration rate(eGFR) <60 mL·min -1·(1.73 m 2) -1, ≥25% decline in eGFR, doubling of serum creatinine, and DKD events, with OR(95% CI) of 1.99(1.28-3.09), 2.27(1.65-3.13), 1.52(1.09-3.02), and 1.52(1.27-1.82), respectively(all P<0.05). In addition, multivariate analysis indicated that elevated baseline serum uric acid levels were also associated with an increased risk of adverse renal outcomes and DKD incidence; However, the magnitude of the associations was lower than that observed for serum uric acid trajectory groups. Conclusions:An inverted U-shaped serum uric acid trajectory is significantly associated with an increased risk of renal function progression and DKD in elderly patients with type 2 diabetes mellitus. These findings highlight the importance of long-term dynamic monitoring of serum uric acid levels to facilitate early identification and intervention for high-risk individuals.

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