1.Clinical features analysis of fulminant type 1 diabetes mellitus
Min GAO ; Yonghao FENG ; Xiaohong SHI
Chinese Journal of Clinical Medicine 2025;32(3):472-478
Objective To explore the clinical features of fulminant type 1 diabetes mellitus (FT1DM). Methods The clinical data of 6 patients with FT1DM who were hospitalized in Jinshan Hospital of Fudan University from April 2020 to August 2024 were retrospectively analyzed. Their data were compared with that of 30 patients diagnosed with non-fulminant type 1 diabetes mellitus (NFT1DM) and diabetic ketosis or diabetic ketoacidosis (DKA) who were admitted to the hospital during the same period. The clinical characteristics of FT1DM were summarized. Results All 6 patients with FT1DM were male, with a disease course of 2.00 (1.75, 4.00) d. Three cases exhibited a history of prior infection, four tested positive for glutamic acid decarboxylase antibody (GADA), and five developed severe DKA. The glycated hemoglobin A1C (HbA1C) was (6.30±0.67) %, fasting C-peptide (FCP) was 0.07 (0.03, 0.15) ng/mL, 2-hour postprandial C-peptide (2h-CP) was 0.09 (0.03, 0.16) ng/mL. At discharge, all 6 patients received 4-injection insulin regimen, with a dose (0.69±0.15) U·kg−1·d−1. The body mass index (BMI), blood glucose/HbA1C, blood potassium/HbA1C, fasting plasma glucose (FPG), 2-hour postprandial plasma glucose (2h-PG), high-sensitivity C-reactive protein (hs-CRP), alanine aminotransferase (ALT), serum creatinine, and blood potassium levels in the FT1DM group were higher than those in the NFT1DM group (P<0.05), while HbA1C and glycated albumin (GA) levels were lower than NFT1DM group (P<0.05). Conclusions FT1DM usually presents with an acute onset of DKA, may be accompanied by a history of preceding infection, and GADA can be positive. Patients with FT1DM have elevated blood glucose/HbA1C, blood potassium/HbA1C, FPG, 2h-PG, hs-CRP, ALT, serum creatinine, blood potassium levels, and require insulin therapy, while the HbA1C and GA levels are lower.
2.Deubiquitinase USP13 alleviates doxorubicin-induced cardiotoxicity through promoting the autophagy-mediated degradation of STING.
Liming LIN ; Jibo HAN ; Diyun XU ; Zimin FANG ; Bozhi YE ; Jinfu QIAN ; Xue HAN ; Julian MIN ; Xiaohong LONG ; Gaojun WU ; Guang LIANG
Acta Pharmaceutica Sinica B 2025;15(5):2545-2558
Doxorubicin (Dox) is an anthracycline drug widely applied in various malignancies. However, the fatal cardiotoxicity induced by Dox limits its clinical application. Post-transcriptional protein modification via ubiquitination/deubiquitination in cardiomyocytes mediates the pathophysiological process in Dox-induced cardiotoxicity (DIC). In this study, we aimed to clarify the regulatory role and mechanism of a deubiquitinating enzyme, ubiquitin-specific peptidase 13 (USP13), in DIC. RNA-seq analysis and experimental examinations identified that cardiomyocyte-derived USP13 positively correlated with DIC. Mice with cardiac-specific deletion of USP13 were subjected to Dox modeling. Adeno-associated virus serotype 9 (AAV9) carrying cTNT promoter was constructed to overexpress USP13 in mouse heart tissues. Cardiomyocyte-specific knockout of USP13 exacerbated DIC, while its overexpression mitigated DIC in mice. Mechanistically, USP13 deubiquitinates the stimulator of interferon genes (STING) and promotes the autolysosome-related degradation of STING, subsequently alleviating cardiomyocyte inflammation and death. Our study suggests that USP13 serves a cardioprotective role in DIC and indicates USP13 as a potential therapeutic target for DIC treatment.
3.Hypoxia characteristics and prognostic significance of glioblastoma MES-like subpopulation through multi-transcriptomics sequencing
Tao CHEN ; Fan YANG ; Shuai WANG ; Min LUO ; Zexuan YAN ; Caidie TANG ; Yun NING ; Sisi YANG ; Ruofei CAO ; Zhengbo LI ; Xuanyu FANG ; Xiaohong YAO
Journal of Army Medical University 2025;47(16):1904-1912
Objective To analyze the composition characteristics and biological functions of tumor cell subpopulations in glioblastoma(GBM)through multi-transcriptomics sequencing technology,and explore the hypoxia characteristics and spatial localization features of the mesenchymal-like(MES-like)tumor cell subpopulation in GBM and the influence on malignant biological behaviors.Methods Multi-transcriptomics sequencing data,including single-cell RNA sequencing(scRNA-seq)data(18 patients),bulk RNA sequencing(bulk RNA-seq)and spatial transcriptomics(ST)data of GBM,were employed to define cell subpopulations in GBM,and Gene Ontology(GO)and Gene Set Enrichment Analysis(GSEA)were utilized to analyze their functions.The proportions and locations of cell subpopulations in bulk RNA-seq data were evaluated with BayesPrism deconvolution.Immunofluorescence assay was conducted for verification on 12 paraffin samples of GBM from patients who visited the neurosurgical department of our hospital from 2015 to 2023 and met the pathological diagnostic criteria for GBM(10 males and 2 females,at an average age of 53.50 years and a median age of 54.50 years).pySCENIC was applied to predict specific transcription factors of tumor cell subpopulations.Results Tumor cells in GBM were highly heterogeneous,and could be mainly divided into 4 subpopulations:astrocyte-like(AC-like),neural progenitor-like(NPC-like),oligodendrocyte progenitor-like(OPC-like)and MES-like.Differential gene analysis found that the MES-like tumor cells highly expressed vascular endothelial growth factor A(VEGFA),adrenomedullin(ADM),N-myc downstream regulated 1(NDRG1),insulin like growth factor binding protein 5(IGFBP5),and A-kinase anchoring protein 12(AKAP12)(P<0.001).pySCENIC transcription factor prediction found that the high-active transcription factors of the MES-like tumor cells were AT-rich interaction domain 3A(ARID3A),FOS like 2,AP-1 transcription factor subunit(FOSL2),endothelial PAS domain protein 1(EPAS1),CCAAT enhancer binding protein delta(CEBPD),and CCAAT enhancer binding protein beta(CEBPB)(P<0.05).GO and GSEA enrichment analyses found that the MES-like tumor cells were enriched in hypoxia-related pathways,especially the pathway of cell responses to hypoxia levels(NES=2.437,P<0.001).BayesPrism deconvolution showed that the MES-like tumor cells mainly existed in PAN(Pseudopalisading cells around necrosis)and perinecrotic zone.Immunofluorescence assay confirmed CD44+(CD44 antigen)MES-like tumor cells were mainly located in hypoxia areas with highly expression of hypoxia inducible factor 1 subunit alpha(HIF1α)(P<0.01).Multivariate Cox regression analysis indicated that the MES-like tumor cells were significantly correlated with the adverse prognosis of GBM patients(HR=1.71,95%CI:1.38~2.11,P<0.001).Conclusion Tumor cells in GBM are of highly heterogeneity.They could be mainly divided into 4 subpopulations:AC-like,NPC-like,OPC-like and MES-like.MES-like tumor cells,mainly locating in PAN and perinecrotic zone,are characterized by hypoxia,which can promote the malignant progression of GBM.
4.Influencing factors of severe traumatic brain injury patients with acute respiratory distress syndrome and construction of predictive model
Zixuan WANG ; Jinqiang ZHUANG ; Yan XIAO ; Min ZHU ; Yu WANG ; Siyao XU ; Yuan ZHONG ; Xiaohong LIU
Journal of Clinical Medicine in Practice 2025;29(3):57-63,69
Objective To explore the risk factors associated with the development of acute respir-atory distress syndrome(ARDS)in patients with severe traumatic brain injury(sTBI)and to construct and validate a risk prediction model for ARDS in these patients.Methods Clinical data from 371 sTBI patients admitted to Yangzhou Affiliated Hospital of Yangzhou University between January 2017 and December 2023 were retrospectively collected.Patients were randomly divided into modeling group(n=259)and validation group(n=112)at a 7-to-3 ratio.A nomogram model was constructed after screening for risk factors using the Least Absolute Shrinkage and Selection Operator(LASSO)and multivariate Logistic regression analysis.Model performance was evaluated using the receiver operating characteristic(ROC)curve,area under the curve(AUC),Hosmer-Lemeshow test,calibration curve,and deci-sion curve analysis(DCA).Results Statistically significant differences were observed in heart rate,respiratory rate,pupil size,percutaneous oxygen saturation(SpO2),Glasgow Coma Scale(GCS)score,Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score,head Ab-breviated Injury Scale(AIS)score,chest AIS score,emergency intubation,pulmonary infection,associated chest trauma,midline shift,blood transfusion within 12 hours of admission,fluid intake within 24 hours of admission,shock,mechanical ventilation,hemoglobin level,hematocrit,white blood cell count,prothrombin time,international normalized ratio,total protein,albumin,serum calcium,oxygenation index,and base excess between the two groups(P<0.05).Multivariate Lo-gistic regression analysis revealed that SpO2,pulmonary infection,and fluid intake within 24 hours of admission were predictors of ARDS in sTBI patients.The Hosmer-Lemeshow test results for the modeling and validation groups showed good fit(x2=10.373,P=0.240;x2=13.21,P=0.105).DCA results for both groups indicated net benefit at threshold probabilities ranging from 0%to 72%and 0%to 50%,respectively.Conclusion SpO2,pulmonary infection,and fluid in-take within 24 hours of admission are risk factors for ARDS in sTBI patients.The model constructed using these factors demonstrates good performance and provides a reliable tool for clinical screening of high-risk ARDS populations among sTBI patients.
5.Study of discrepancy in subjective and objective cognitive function in patients with depressive disorder
Linna FU ; Min WANG ; Xiao YANG ; Yikai DOU ; Jinxue WEI ; Zongling HE ; Yue YU ; Xiao CAI ; Xiaohong MA
Sichuan Mental Health 2024;37(1):26-32
BackgroundThere exist differences in the subjective and objective cognitive functions of patients with depressive disorder, ane there are limited research on influencing factors of such phenomenon currently. ObjectiveTo explore the differences in subjective and objective cognitive function in patients with depressive disorder as well as influencing factors, and to provide references for further understanding of cognitive impairment in patients with depressive disorder. MethodsA total of 77 patients with depressive disorder who received outpatient or inpatient treatment in the Fourth People's Hospital of Chengdu from January 13, 2022 to December 11, 2023 were selected for the study. These patients also met the diagnostic criteria of Diagnostic and Statistical Manual of Mental Disorders, fifth edition(DSM-5). Various tools were employed to assess patients in this study: Montgomery-Asberg Depression Rating Scale (MADRS) for the depressive symptoms, Perceived Deficits Questionnaire for Depression (PDQ-D) and Chinese Version of Brief Neurocognitive Test Battery (C-BCT) for the subjective and objective cognitive function, Sheehan Disability Scale (SDS) for the social function, and Clinical Global Impression-Severity of Illness(CGI-SI) for the severity of patient's condition. Pearson correlation analysis was used to examine the correlation of subjective and objective cognitive function and their differences with age, years of education, MADRS total score, SDS total score, and CGI-SI score. Multiple linear regression was used to explore the influencing factors of the differences between subjective and objective cognitive function. ResultsThere was a statistically significant difference in the total PDQ-D scores and the difference of subjective and objective cognitive function (D value) between depressive patients with and without medication (t=-4.228, -2.392, P<0.05 or 0.01). There was no statistically significant correlation in subjective and objective cognitive function in patients with depressive disorder (r=-0.148, P>0.05). Negative correlations can be observed between the PDQ-D total score and age or years of education (r=-0.333, -0.369, P<0.01). The PDQ-D total score was positively correlated with MADRS total score, SDS total score and CGI-SI score (r=0.487, 0.637, 0.434, P<0.01). D value was negatively correlated with age and years of education (r=-0.411, -0.362, P<0.01), while positively correlated with MADRS total score, SDS total score and CGI-SI score (r=0.259, 0.468, 0.299, P<0.05 or 0.01). Age (β=-0.328, P<0.01) and SDS total score (β=0.409, P<0.01) were two predictive factors for D value. ConclusionThe difference between subjective and objective cognitive function among patients with depressive disorder is related to several factors including age, years of education, severity of symptoms and impairment of social function. [Funded by Surface Project of National Natural Science Foundation of China (number, 62173069); Technological Innovation 2030-Major Project of "Brain Science and Brain-Like Research" (number, 2022ZD0211700); Key R&D Support Program and Major Application Demonstration Project of Chengdu Science and Technology Bureau (number, 2022-YF09-00023-SN)]
6.Correlation of emotional abnormalities with the effectiveness of bariatric surgery in obese patients
Yan XU ; Yikai DOU ; Min WANG ; Xiao YANG ; Zhong CHENG ; Yi CHEN ; Xiaohong MA
Sichuan Mental Health 2024;37(1):46-51
BackgroundBariatric surgery has emerged as an important tool in the management of obesity. Some patients undergoing bariatric surgery are prone to develop emotional abnormalities and have abnormally elevated concentrations of inflammatory factors level in peripheral blood, whereas current domestic research focusing on the impact of preoperative emotional states and peripheral blood inflammatory factors level on weight loss effect remains limited. ObjectiveTo explore the correlation of preoperative emotional abnormalities with the effectiveness of bariatric surgery in obese patients, and to provide theoretical basis for improving the clinical efficacy of bariatric surgery. MethodsEighty-one obese patients scheduled for bariatric surgery at gastrointestinal surgery Department of West China Hospital, Sichuan University from December 30, 2022 to June 30, 2023 were enrolled and assessed using Hamilton Depression Scale-17 item (HAMD-17) and Hamilton Anxiety Scale (HAMA). Patients who scored 7 or above on HAMD-17 or HAMA or had a history of previous depression or anxiety diagnoses were classified into emotional abnormality group (n=34), and samples who scored less than 7 on HAMD-17 and HAMA and were free of history of previous depression and anxiety diagnoses were set as non-emotional abnormality group (n=47). The data were collected by the self made questionnaire. Patients were subjected to complete the assessment of Beck Scale for Suicide Ideation-Chinese Version (BSI-CV), Eating Disorder Inventory (EDI) and Pittsburgh Sleep Quality Index (PSQI). Laboratory tests including peripheral blood C-reactive protein (CRP) and interleukin-6 (IL-6). Body weight and height assessed in the early morning after an overnight fasting period were recorded in all participants at 1- and 6-month after surgery through outpatient clinic visits or telephone follow-up. Pearson correlation coefficient was used to examine relationship among body mass index (BMI), preoperative emotional states and peripheral blood inflammation mediators. ResultsAmong 81 obese patients, 62 completed the study, including 27 cases in emotional abnormality group and 35 cases in non-emotional abnormality group
7.Detection of immune-related cytokines of bone marrow mesenchymal stem cells in postmenopausal osteoporosis mice by antibody chip and analysis of key differential genes
Shanshan YANG ; Renjun OUYANG ; Jia TIAN ; Min LINGHU ; Zhen WANG ; Xiaohong YANG
Chinese Journal of Tissue Engineering Research 2024;28(25):3947-3954
BACKGROUND:In recent years,research on the interaction mechanism between the immune system and the skeleton in postmenopausal osteoporosis has become a hot topic.However,the impact of changes in key immune-related cytokine expression on postmenopausal osteoporosis remains unclear and requires further exploration. OBJECTIVE:To investigate the differential expression of immune-related cytokines in bone marrow mesenchymal stem cells of mice with postmenopausal osteoporosis by bioinformatics methods. METHODS:Postmenopausal osteoporosis mouse model was established through ovariectomy.Bone marrow mesenchymal stem cells were obtained by the whole bone marrow adherence method and passaged to passage 2.RayBio L-Series Mouse Antibody Array 308 Glass Slide Kit immune-related factor antibody chip was used to detect the differentially expressed proteins in bone marrow mesenchymal stem cells from ovariectomy and sham-operation mice.Gene ontology,Kyoto Encyclopedia of Genes and Genomes enrichment analysis,and protein-protein interaction network analysis were performed to screen common Hub genes by MCC,EPC,and MNC algorithms. RESULTS AND CONCLUSION:This study identified a total of 68 differentially expressed genes.Gene ontology analysis revealed that the differentially expressed genes were enriched in terms including"immune system processes","extracellular regions",and"signal receptor binding".Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that the differentially expressed genes were mainly enriched in"cytokine-cytokine receptor interactions","tumor necrosis factor signaling pathways",and"chemokine signaling pathways".Further screening was performed by constructing a protein-protein interaction network analysis of these 68 differentially expressed genes to identify 8 Hub genes.The violin plot and correlation matrix showed that the expression levels of these 8 Hub genes were significantly down-regulated in the ovariectomy group compared to the sham-operation group.These results demonstrated that there was differential expression of immune-related factors in bone marrow mesenchymal stem cells of postmenopausal osteoporosis mice,and key genes involved in cytokine-cytokine receptor interactions,immune system-related processes,and potential targeted signaling pathways and cellular biological processes were identified,providing new promising targets for the diagnosis,treatment,and prevention of postmenopausal osteoporosis.
8.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
9.A multicenter prospective study on early identification of refractory Mycoplasma pneumoniae pneumonia in children
Dan XU ; Ailian ZHANG ; Jishan ZHENG ; Mingwei YE ; Fan LI ; Gencai QIAN ; Hongbo SHI ; Xiaohong JIN ; Lieping HUANG ; Jiangang MEI ; Guohua MEI ; Zhen XU ; Hong FU ; Jianjun LIN ; Hongzhou YE ; Yan ZHENG ; Lingling HUA ; Min YANG ; Jiangmin TONG ; Lingling CHEN ; Yuanyuan ZHANG ; Dehua YANG ; Yunlian ZHOU ; Huiwen LI ; Yinle LAN ; Yulan XU ; Jinyan FENG ; Xing CHEN ; Min GONG ; Zhimin CHEN ; Yingshuo WANG
Chinese Journal of Pediatrics 2024;62(4):317-322
Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.
10.Relationship between aquaporin 1 level and vascular calcification in diabetic nephropathy
Zongquan ZHAO ; Yihong WU ; Hao ZHANG ; Xiaohong WANG ; Zhenyuan TANG ; Min HUANG
Chinese Journal of Postgraduates of Medicine 2024;47(9):817-822
Objective:To analyze the relationship between aquaporin 1 (AQP1) level and vascular calcification in patients with diabetes nephropathy.Methods:A total of 125 diabetic nephropathy patients admitted to Suzhou Hospital of Nanjing Medical University from March 2020 to March 2023 were retrospectively selected as case group. The case group was divided into group A (diabetes nephropathy stage Ⅰ and Ⅱ) with 31 cases, group B (diabetes nephropathy stage Ⅲ) with 32 cases, group C (diabetes nephropathy stage Ⅳ) with 39 cases, and group D (diabetes nephropathy stage V) with 23 cases. In these patients, 51 cases had vascular calcification, taken as the calcification group, and 74 cases had no vascular calcification, taken as the non calcification group. Sixty volunteers who underwent health examinations in the same hospital were selected as the control group. Receiver operating characteristic curve was used to analyze the predictive value of AQP1 on vascular calcification in diabetes nephropathy patients and to explore the related factors of vascular calcification in diabetes nephropathy patients.Results:Compared with the control group, AQP1 level and calcification rate in groups A, B, C and D were higher: 6.41 ± 1.04, 7.93 ± 1.23, 9.50 ± 1.52 and 11.37 ± 2.01 vs. 3.83 ± 0.56 ng/L, 6.45% (2/31), 28.13% (9/32), 51.28% (20/29) and 86.96% (20/23) vs. 0 ( P<0.05). Compared with group A, the level of AQP1 and calcification rate in groups B, C and D were higher ( P<0.05); compared with group B, the AQP1 level and calcification rate in groups C and D were higher ( P<0.05); compared with group C, the level of AQP1 and calcification rate in group D were higher ( P<0.05). Compared to the non calcification group, the levels of uric acid, homocysteine and cystatin C in calcification group were higher: (313.82 ± 38.72) μmol/L vs. (253.42 ± 30.14) μmol/L, (20.03 ± 3.01) μmol/L vs. (15.01 ± 2.71) μmol/L, (1.73 ± 0.26) mg/L vs. (1.30 ± 0.17) mg/L ( P<0.05). AQP1 was positively correlated with uric acid, homocysteine, and cystatin C ( P<0.05). The area under the curve of AQP1, uric acid, homocysteine and cystatin C in predicting vascular calcification in patients with diabetes nephropathy were 0.892, 0.803, 0.738 and 0.763, respectively. Taking whether vascular calcification occurs in patients with diabetes nephropathy as the dependent variable (no = 0, yes = 1), the variables of P<0.05 in the single factor analysis were selected for multivariate Logistic regression analysis. The results showed that uric acid, homocysteine, cystatin C and AQP1 were the main factors affecting vascular calcification in patients with diabetes nephropathy ( P<0.05). Conclusions:Serum AQP1 has a high predictive value for vascular calcification in diabetes nephropathy patients, and is expected to be used as a biomarker for early diagnosis of vascular calcification in diabetes nephropathy patients.

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