1.Development of a dual-track predictive model for active ankylosing spondylitis by combining the sacroiliac joint resistance index and systemic immune-inflammation index
Yuhong OUYANG ; Jianxiong ZHENG ; Xing ZHANG ; Wenjiao KANG ; Qianqiong CHEN ; Haili SHEN
Chinese Journal of Rheumatology 2026;30(2):1-8
Objective:To construct a "local-systemic" dual-track prediction model integrating the resistance index (RI) score of bilateral sacroiliac joints and the systemic immune-inflammation index (SII), and to evaluate its predictive efficacy for the active stage of ankylosing spondylitis (AS).Methods:A total of 205 patients with ankylosing spondylitis (AS) from the Second Hospital of Lanzhou University between April 2022 and April 2025 were retrospectively enrolled and categorized into an active group ( n=113) and a remission group ( n=92). Hematological parameters and ultrasound data were collected. The resistance index (RI) of the synovial area in bilateral sacroiliac joints was measured by Doppler ultrasound and scored as follows: RI < 0.5: 3 points; RI 0.5~0.55: 2 points; RI > 0.55: 1 point; undetectable blood flow: 0 points. A total bilateral RI score (range 0 to 6) was calculated. The systemic immune-inflammation index (SII) was derived as (neutrophils× platelets)/lymphocytes. Normality was tested for all continuous variables; normally distributed data were compared using the t-test, while non-normally distributed data were analyzed with the Mann-Whitney U test. Categorical variables were compared using the χ2 test or analysis of variance.Variable selection was performed using Lasso regression, and a multivariate logistic regression model was developed to assess predictive performance. Results:The proportion of patients with a bilateral RI total score≥5 was significantly higher in the active group compared to the remission group (50 of 113, 44.3% vs 2 of 92, 2.2%, χ2=55.63, P<0.001). Multivariate logistic regression analysis, after adjustment for confounding variables, identified the SII [ OR(95% CI)=1.01(1.00, 1.01), P<0.001], bilateral RI total score [ OR(95% CI)=1.67(1.29, 2.26), P<0.001], erythrocyte sedimentation rate [ OR(95% CI)=1.19(1.11, 1.30), P<0.001], and mean corpuscular hemoglobin concentration [ OR(95% CI)=1.09(1.03, 1.17), P<0.001] as independent risk factors for active AS. Conversely, lymphocyte count [ OR(95% CI)=0.42(0.18, 0.92), P=0.030] and globulin [ OR(95% CI)=0.89(0.80, 0.99), P=0.040] were significantly associated with protective effects. The bilateral RI total score demonstrated the strongest predictive effect, with each 1-point increase associated with a 67% elevation in the risk of active disease. ROC curve analysis indicated that the area under the curve (AUC) for predicting whether AS is in the active disease phase was 0.94 for the combined model (SII+bilateral RI total score), compared with 0.93 for the SII-alone model and 0.92 for the bilateral RI total score-alone model, demonstrating superior predictive performance of the combined model (SII+bilateral RI total score). An online prediction tool has been developed based on the combined model. Conclusion:The dual-track prediction model, which integrates local joint hemodynamic characteristics and systemic immune-inflammatory status, facilitates a multidimensional assessment of the risk of active AS and provides an objective basis for early identification.
2.Perioperative Management of Duchenne Muscular Dystrophy and Accompanying Spinal Deformity: a Case Report
Jing ZHAN ; Weiyun CHEN ; Jianxiong SHEN
JOURNAL OF RARE DISEASES 2026;5(1):68-72
Duchenne muscular dystrophy (DMD) is an X-linked recessive genetic disorder caused by mutations in the dystrophin gene, classified as a rare congenital muscular disease. Its clinical features include progressive skeletal muscle weakness, often involving respiratory and cardiac muscles, and frequently associated with spinal deformities. This paper reports the diagnosis, perioperative management, and follow-up of a case of DMD with multisystem involvement and severe scoliosis, aiming to provide a reference for clinicians in the diagnosis and treatment of such diseases.
3.Development of a dual-track predictive model for active ankylosing spondylitis by combining the sacroiliac joint resistance index and systemic immune-inflammation index
Yuhong OUYANG ; Jianxiong ZHENG ; Xing ZHANG ; Wenjiao KANG ; Qianqiong CHEN ; Haili SHEN
Chinese Journal of Rheumatology 2026;30(2):1-8
Objective:To construct a "local-systemic" dual-track prediction model integrating the resistance index (RI) score of bilateral sacroiliac joints and the systemic immune-inflammation index (SII), and to evaluate its predictive efficacy for the active stage of ankylosing spondylitis (AS).Methods:A total of 205 patients with ankylosing spondylitis (AS) from the Second Hospital of Lanzhou University between April 2022 and April 2025 were retrospectively enrolled and categorized into an active group ( n=113) and a remission group ( n=92). Hematological parameters and ultrasound data were collected. The resistance index (RI) of the synovial area in bilateral sacroiliac joints was measured by Doppler ultrasound and scored as follows: RI < 0.5: 3 points; RI 0.5~0.55: 2 points; RI > 0.55: 1 point; undetectable blood flow: 0 points. A total bilateral RI score (range 0 to 6) was calculated. The systemic immune-inflammation index (SII) was derived as (neutrophils× platelets)/lymphocytes. Normality was tested for all continuous variables; normally distributed data were compared using the t-test, while non-normally distributed data were analyzed with the Mann-Whitney U test. Categorical variables were compared using the χ2 test or analysis of variance.Variable selection was performed using Lasso regression, and a multivariate logistic regression model was developed to assess predictive performance. Results:The proportion of patients with a bilateral RI total score≥5 was significantly higher in the active group compared to the remission group (50 of 113, 44.3% vs 2 of 92, 2.2%, χ2=55.63, P<0.001). Multivariate logistic regression analysis, after adjustment for confounding variables, identified the SII [ OR(95% CI)=1.01(1.00, 1.01), P<0.001], bilateral RI total score [ OR(95% CI)=1.67(1.29, 2.26), P<0.001], erythrocyte sedimentation rate [ OR(95% CI)=1.19(1.11, 1.30), P<0.001], and mean corpuscular hemoglobin concentration [ OR(95% CI)=1.09(1.03, 1.17), P<0.001] as independent risk factors for active AS. Conversely, lymphocyte count [ OR(95% CI)=0.42(0.18, 0.92), P=0.030] and globulin [ OR(95% CI)=0.89(0.80, 0.99), P=0.040] were significantly associated with protective effects. The bilateral RI total score demonstrated the strongest predictive effect, with each 1-point increase associated with a 67% elevation in the risk of active disease. ROC curve analysis indicated that the area under the curve (AUC) for predicting whether AS is in the active disease phase was 0.94 for the combined model (SII+bilateral RI total score), compared with 0.93 for the SII-alone model and 0.92 for the bilateral RI total score-alone model, demonstrating superior predictive performance of the combined model (SII+bilateral RI total score). An online prediction tool has been developed based on the combined model. Conclusion:The dual-track prediction model, which integrates local joint hemodynamic characteristics and systemic immune-inflammatory status, facilitates a multidimensional assessment of the risk of active AS and provides an objective basis for early identification.
4.Production of GTKO pigs and kidney xenotransplantation from pigs to rhesus macaques
Yan WANG ; Yue CHANG ; Chang YANG ; Taiyun WEI ; Xiaoying HUO ; Bowei CHEN ; Jiaoxiang WANG ; Heng ZHAO ; Jianxiong GUO ; Hongfang ZHAO ; Xiong ZHANG ; Feiyan ZHU ; Wenmin CHENG ; Hongye ZHAO ; Kaixiang XU ; Ameen Jamal MUHAMMAD ; Zhendi WANG ; Hongjiang WEI
Organ Transplantation 2025;16(4):526-537
Objective To explore the construction of α-1,3-galactosyltransferase (GGTA1) gene-knockout (GTKO) Diannan miniature pigs and the kidney xenotransplantation from pigs to rhesus macaques, and to assess the effectiveness of GTKO pigs. Methods The GTKO Diannan miniature pigs were constructed using the CRISPR/Cas9 gene-editing system and somatic cell cloning technology. The phenotype of GTKO pigs was verified through polymerase chain reaction, Sanger sequencing and immunofluorescence staining. Flow cytometry was used to detect antigen-antibody (IgM) binding and complement-dependent cytotoxicity. Kidney xenotransplantation was performed from GTKO pigs to rhesus macaques. The humoral immunity, cellular immunity, coagulation and physiological indicators of the recipient monkeys were monitored. The function and pathological changes of the transplanted kidneys were analyzed using ultrasonography, hematoxylin-eosin staining, immunohistochemical staining and immunofluorescence staining. Results Single-guide RNA (sgRNA) targeting exon 4 of the GGTA1 gene in Diannan miniature pigs was designed. The pGL3-GGTA1-sgRNA1-GFP vector was transfected into fetal fibroblasts of Diannan miniature pigs. After puromycin selection, two cell clones, C59# and C89#, were identified as GGTA1 gene-knockout clones. These clones were expanded to form cell lines, which were used as donor cells for somatic cell nuclear transfer. The reconstructed embryos were transferred into the oviducts of trihybrid surrogate sows, resulting in 13 fetal pigs. Among them, fetuses F04 and F11 exhibited biallelic mutations in the GGTA1 gene, and F04 had a normal karyotype. Using this GTKO fetal pig for recloning and transferring the reconstructed embryos into the oviducts of trihybrid surrogate sows, seven surviving piglets were obtained, all of which did not express α-Gal epitope. The binding of IgM from the serum of rhesus monkey 20# to GTKO pig PBMC was reduced, and the survival rate of GTKO pig PBMC in the complement-dependent cytotoxicity assay was higher than that of wild-type pig. GTKO pig kidneys were harvested and perfused until completely white. After the left kidney of the recipient monkey was removed, the pig kidney was heterotopically transplanted. Following vascular anastomosis and blood flow restoration, the pig kidney rapidly turned pink without hyperacute rejection (HAR). Urine appeared in the ureter 6 minutes later, indicating successful kidney transplantation. The right kidney of the recipient was then removed. Seven days after transplantation, the transplanted kidney had good blood flow, the recipient monkey's serum creatinine level was stable, and serum potassium and cystatin C levels were effectively controlled, although they increased 10 days after transplantation. Seven days after transplantation, the levels of white blood cells, lymphocytes, monocytes and eosinophils in the recipient monkey increased, while platelet count and fibrinogen levels decreased. The activated partial thromboplastin time, thrombin time and prothrombin time remained relatively stable but later showed an upward trend. The recipient monkey survived for 10 days. At autopsy, the transplanted kidney was found to be congested, swollen and necrotic, with a small amount of IgG deposition in the renal tissue, and a large amount of IgM, complement C3c and C4d deposition, as well as CD68+ macrophage infiltration. Conclusions The kidneys of GTKO Diannan miniature pigs may maintain normal renal function for a certain period in rhesus macaques and effectively overcome HAR, confirming the effectiveness of GTKO pigs for xenotransplantation.
5.Construction and Functional Validation of GTKO/hCD55 Gene-Edited Xenotransplant Donor Pigs
Jiaoxiang WANG ; Lu ZHANG ; Shuhan CHEN ; Deling JIAO ; Heng ZHAO ; Taiyun WEI ; Jianxiong GUO ; Kaixiang XU ; Hongjiang WEI
Laboratory Animal and Comparative Medicine 2025;45(4):379-392
Objective To develop GTKO (α-1,3-galactosyltransferase gene-knockout, GTKO)/hCD55 (human CD55) gene-edited xenotransplant donor pigs and verify their function. Methods In this study, CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 (CRISPR-associated nuclease 9), PiggyBac transposon technology and somatic cell nuclear transfer technology were used to construct GTKO/hCD55 gene-edited Diannan miniature pigs. The phenotype and function of GTKO/hCD55 pigs were analyzed by Sanger sequencing, real-time fluorescence quantitative PCR, flow cytometry, immunofluorescence, bisulfite sequencing, antigen-antibody binding assays, and complement-dependent cytotoxicity assays. Results After transfection of PX458 and PiggyBac gene editing vectors into wild-type fetal pig fibroblasts, 48 single-cell colonies were obtained through puromycin drug screening. Two single-cell colonies were selected for somatic cell nuclear transfer, resulting in two fetal pigs at 33 days of gestation. The GGTA1(α-1,3-galactosyltransferase) genotypes of fetal pig F01 were -17 bp and wild type (WT), while the GGTA1 genotypes of fetal pig F02 were -26 bp/+2 bp and -3 bp. The hCD55 mRNA expression levels of both fetal pigs were significantly higher than those of WT pigs (P<0.01). The fetal pig F02 was selected as the donor cell source for recloning, 11 surviving piglets were obtained, all identified as GTKO/hCD55 gene-edited pigs. These pigs showed absence of α-Gal antigen expression, but weak or no expression of hCD55 was observed. Methylation analysis of the hCD55 gene's CpG island showed hypermethylation in kidney tissue lacking hCD55 expression, whereas it was not methylated or partially methylated in kidney tissue expressing hCD55. Moreover, codon optimization of the CpG island of the hCD55 gene to reduce CG content could achieve stable expression of the hCD55 gene. In addition, antigen-antibody binding experiment showed that the amount of human IgM binding to GTKO/hCD55 gene-edited pig fibroblasts was significantly lower than that of WT pigs (P<0.01). Complement-dependent cytotoxicity experiment showed that the survival rate of fibroblasts in GTKO/hCD55 pigs was significantly higher than that in WT pigs (P<0.01). Conclusion This study demonstrates the successful generation of GTKO/hCD55 gene-edited xenotransplant donor pigs. Methylation-induced gene silencing of the hCD55 gene can be effectively avoided by reducing the CG content of the CpG island through codon optimization. This study provides a reference for the development of xenotransplant donor pigs and guides subsequent research on xenotransplantation.
6.Application and prospects of mobile health applications in the health management of organ transplant recipients
Ru JI ; Wei YAN ; Zhixia LI ; Zhiping HUANG ; Dianying ZHANG ; Jianxiong CHEN ; Feng HUO
Organ Transplantation 2025;16(3):474-481
With the rapid development of mobile internet technology, mobile health application (mHealth APP) are increasingly widely used in the field of health management and have been proven to play an important role in the management of chronic diseases. Solid organ transplant recipients face complex health management needs after surgery, including postoperative follow-up, medication management, prevention and treatment of complications and comorbidities, and lifestyle adjustment. mHealth APP can provide solid organ transplant recipients with convenient self-management tools. Although some progress has been made in this field, there are still many challenges, such as insufficient user experience, technological dependence, and data security risks. Therefore, this article discusses the development process, main functions and current application status of mHealth APP, and analyzes its advantages in improving the self-management ability of solid organ transplant recipients, promoting doctor-patient communication and reducing the incidence of complications. At the same time, based on the practical experience of author’s team in developing the “TransMate” mHealth APP, we propose the directions that mHealth APPs should focus on in the future, in order to provide more effective support and services for the health management of solid organ transplant recipients.
7.Study on the association between heatwaves and fall-related mortality risk in seven provinces of China
Zhiying JIANG ; Ruilin MENG ; Ruoyi ZHANG ; Xuelong GU ; Jianxiong HU ; Min YU ; Yang CHEN ; Chunliang ZHOU ; Biao HUANG ; Ziyi LIANG ; Sujuan CHEN ; Jianhao LI ; Guanhao HE ; Tao LIU ; Hua GUO ; Wenjun MA
Chinese Journal of Epidemiology 2025;46(4):566-572
Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.
8.Analysis of the influencing factors for pruritus and construction of a nomogram prediction model in peritoneal dialysis patients
Rui YANG ; Shu ZHOU ; Jianxiong LIN ; Chunyan YI ; Xiao YANG ; Wei CHEN ; Haiping MAO
Chinese Journal of Nephrology 2025;41(4):258-265
Objective:To explore the influencing factors for skin pruritus and to construct a nomogram prediction model in peritoneal dialysis (PD) patients.Methods:It was a retrospective cross-sectional investigation study. The PD patients who were regularly followed up between July, 2023 and April, 2024 in PD center of the First Affiliated Hospital of Sun Yat-sen University were enrolled in this study. The pruritus status was evaluated by the 14-Item UP-Dial Scale. The general demographic data and clinical data were collected. The patients were divided into pruritus group and non-pruritus group according to the presence or absence of skin itching. The differences of clinical data and laboratory results were compared between the two groups. Logistic regression was used to analyze the associated factors for pruritus in PD patients. The nomogram model was constructed by R software. The receiver operating characteristic (ROC) curve analysis and the Hosmer-Lemeshow goodness-of-fit test were used to evaluate the performance of the model, and its clinical effectiveness was evaluated using the calibration curve.Results:A total of 315 PD patients were enrolled in this study, with age of (48.0±12.9) years, including 134 females (42.5%). Among them, 161 patients (51.1%) experienced skin pruritus. Of whom, 111 patients (68.9%) had mild pruritus, 34 patients (21.1%) had moderate pruritus, 16 patients (9.9%) had severe pruritus. The age ( t=-2.266, P=0.024), proportion of diabetes mellitus ( χ2=3.910, P=0.048), Charson comorbidity index ( Z=-2.458, P=0.014), blood eosinophil percentage ( Z=-2.385, P=0.017), C-reactive protein ( Z=-2.590, P=0.010), serum phosphorus ( Z=-3.233, P=0.001) and β2 microglobulin ( Z=-2.756, P=0.006) level in the pruritus group were higher than those in the non-pruritus group, and the measured glomerular filtration rate (mGFR) level ( Z=-3.708, P<0.001) of patients in the pruritus group was lower than that in the non-pruritus group. There were 262 patients in the training set and 53 patients in the validation set. The multivariate logistic regression analysis in the training set revealed that advanced age ( OR=1.032, 95% CI 1.010-1.054, P=0.004), lower mGFR ( OR=0.758, 95% CI 0.648-0.886, P<0.001), higher serum phosphorus ( OR=2.761, 95% CI 1.282-6.024, P=0.010), and elevated blood eosinophil percentage ( OR=1.098, 95% CI 1.012-1.191, P=0.025) were independent factors associated with pruritus in PD patients. The nomogram model constructed based on these indicators demonstrated good discrimination and calibration. In the training set, the area under the ROC curve ( AUC) was 0.757 (95% CI 0.699-0.816), with Hosmer-Lemeshow test χ2=4.979, P=0.760. In the validation set, the AUC was 0.779 (95% CI 0.651-0.907), and Hosmer-Lemeshow test χ2=12.938, P=0.114. Conclusions:The prevalence of skin pruritus is 51.1% in PD patient. Advanced age, lower mGFR, higher serum phosphorus and higher blood eosinophil percentage are the independent influencing factors for pruritus in PD patients. The nomogram model constructed based on these indicators shows excellent predictive performance for skin pruritus in PD patients.
9.Relationship between social function and family support in young and middle-aged patients undergoing peritoneal dialysis
Shan LYU ; Chunyan YI ; Shuchao LU ; Xiao YANG ; Haiping MAO ; Wei CHEN ; Jianxiong LIN
Chinese Journal of Nephrology 2025;41(11):811-816
Objective:To analyze the relationship between social function and family support in young and middle-aged patients undergoing peritoneal dialysis (PD).Methods:In this cross-sectional study, the patients undergoing maintenance PD therapy for more than 3 months at the Department of Nephrology, the First Affiliated Hospital of Sun Yat-sen University, from May to October 2023 were recruited retrospectively. The social dysfunction screening scale and family support self-rating scale were used to evaluate the social dysfunction and family support of PD patients, respectively. The social demographic and clinical data of the patients were collected. Logistic regression analysis model was used to identify associated factors of social dysfunction in PD patients.Results:A total of 359 PD patients were recruited with age of (42.6±9.5) years old. Among them, 197 patients (54.9%) were males, and 33 patients (9.2%) were complicated with diabetes. The dialysis age was 28.8 (13.5, 56.3) months. The score of social function was 2 (1, 4), and the score of family support was (10.5±2.2). There were 199 patients (55.4%) having social dysfunction. There were 224 patients (62.4%) employed after PD. Compared with the normal social function group, the social dysfunction group had significantly lower score in family support ( Z=-2.613, P=0.009), serum potassium ( t=-2.725, P=0.007), urea clearance index ( Z=-2.346, P=0.019) and proportions of married status ( χ2=6.847, P=0.009), pre-dialysis employment ( χ2=3.996, P=0.046) and post-dialysis employment ( χ2=8.331, P=0.004), and higher serum creatinine ( Z=2.175, P=0.030), and proportions of annual household income < 100 000 yuan ( χ2=6.270, P=0.012) and diabetes mellitus ( χ2=4.400, P=0.036). Multivariate logistic regression analysis revealed that family support ( OR=0.828, 95% CI 0.733-0.935, P=0.002), diabetes mellitus ( OR=3.551, 95% CI 1.456-8.658, P=0.005) and serum potassium ( OR=0.559, 95% CI 0.374-0.835, P=0.005) were independent correlated factors of social dysfunction in young and middle-aged PD patients. Conclusions:The prevalence of social dysfunction is 55.4%, and the employment rate is 62.4% in young and middle-aged PD patients. Poor family support, diabetes mellitus and decreased serum potassium level are independently associated with social dysfunction in young and middle-aged PD patients.
10.Investigating the construction of a specialized clinical research system under the circumstances of research ward development
Jianxiong ZHANG ; Xiao LI ; Xiaofei TONG ; Jingcheng CHEN ; Lijun LI ; Zhili JIN ; Xiaofang WU ; Ruihua DONG
Chinese Journal of Medical Science Research Management 2025;38(3):260-265
Objective:This current study aims to explore the approaches for constructing a professional clinical research system within the context of research ward development, with the ultimate objective of providing valuable guidance for the establishment and development of proficient clinical research teams.Methods:Through a comprehensive case analysis, integrating the practical experiences from clinical trials conducted in the research ward of a Class-A tertiary hospital in Beijing, along with an extensive review of relevant literature and policy studies, this paper examined the current state of domestic clinical research implementation teams. Subsequently, a series of strategies were devised to build and foster professional clinical research teams and to explore corrective measures for cultivating a dynamic professional clinical research talent ecosystem.Results:The development of full-time clinical research teams in China was rather slow, and there was a lack of mature clinical trial teams training blueprints. Drawing on the practical experience accumulated during the establishment of a professional clinical research team in a leading hospital in Beijing, it was crucial to attach utmost importance to the optimal allocation of human and material resources. This required the systematic training of principal investigators, coordinating researchers, and research assistants, as well as the setting up of a comprehensive support system, an advanced scientific research team, and a quality control unit. Moreover, the standardization of operational models of both domestic and foreign research institutions, along with the implementation of corresponding support and incentive mechanisms, and the strengthening of training and continuing education frameworks were equally significant.Conclusions:During the process of assembling a full-time clinical research team, it is of utmost significance to cultivate professional principal investigators, coordinating researchers, and research assistants. Complemented by the establishment of a comprehensive support team, a scientific research team, and a quality control team, along with corresponding support and incentive mechanisms, this is crucial for constructing a professional clinical research execution team and a sustainable talent ecosystem in the research ward. Eventually, this will drive the efficient and high-quality progress of China's pharmaceutical industry.

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