1.Identification of novel pathogenic variants in genes related to pancreatic β cell function: A multi-center study in Chinese with young-onset diabetes.
Fan YU ; Yinfang TU ; Yanfang ZHANG ; Tianwei GU ; Haoyong YU ; Xiangyu MENG ; Si CHEN ; Fengjing LIU ; Ke HUANG ; Tianhao BA ; Siqian GONG ; Danfeng PENG ; Dandan YAN ; Xiangnan FANG ; Tongyu WANG ; Yang HUA ; Xianghui CHEN ; Hongli CHEN ; Jie XU ; Rong ZHANG ; Linong JI ; Yan BI ; Xueyao HAN ; Hong ZHANG ; Cheng HU
Chinese Medical Journal 2025;138(9):1129-1131
2.Comparative transcriptome profiling of three different murine modelsof metabolic dysfunction-associated steatohepatitis
Tianwen Liu ; Ziyi Guo ; Hanqi Bi ; Bing Zhou ; Yan Lu ; Fei Mao ; Hua Wang
Acta Universitatis Medicinalis Anhui 2025;60(8):1445-1453
Objective:
To compare the transcriptomic profiles between three distinct metabolic dysfunction⁃associat⁃mal murine model that more closely resembles human MASH progression .
Methods:
Forty 8 ⁃week⁃old male C57BL/6J mice were randomly assigned to either a control group fed normal chow diet ( NCD) or one of three MASH model groups receiving high⁃fat high⁃cholesterol diet (HFHCD) , choline⁃deficient high⁃fat diet (CDHFD) ,from three randomly selected mice per group were collected for mRNA sequencing ( mRNA⁃seq) analysis . Mean⁃bases . Overlap of functional profiles was analyzed by gene set enrichment analysis (GSEA) profiles to compare the mouse transcriptome with that of human patients at different stages of the disease . Additionally , Pearson ′s correla⁃tion analysis was used to explore the correlation between gene expression of murine models and human MASH .
Results:
Seven commonly up⁃regulated genes (Col1a1 , Smoc2 , Col6a1 , Gpx3 , Col16a1 , Spp1 and Crtap) were de⁃ways involving steatosis , hepatocellular injury and fibrosis were detected in the three MASH models at the pathway level . HFHCD and MCD might share more common traits . In comparing gene expression and pathway profiles be⁃tween different murine models and patients with different stages of MASH , all three murine MASH models showed a closer resemblance to the human progressive stages of MASH . Notably , the transcriptomic features of the CDHFD model were more consistent with those of human MASH .
Conclusion
There are certain similarities and differences among the transcriptional profiles of the three MASH models . The MASH models are more similar to the advanced stage of MASH in human patients . Compared to the other two models , the CDHFD model ′ s transcriptome profile more closely resembles human MASH .
3.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
4.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
5.Enhancing production of emestrin in Emericella sp. 1454 by adding the biosynthetic precursor glutathione
Yu-chuan CHEN ; Tong-mei XIAO ; Bing-jie SU ; Bi-ying YAN ; Li-yan YU ; Shu-yi SI ; Ming-hua CHEN
Acta Pharmaceutica Sinica 2024;59(4):1087-1091
Based on the genomic information of
6.Optimization of extraction process for classic prescription Yihuang Decoction based on Box-Behnken design-response surface methodology, standard relation, and analytic hierarchy process combined with entropy weight method.
Xin-Ying LU ; Jia-Yao BI ; Ming-Hui LI ; Rexidanmu MAMUJIANG ; Xiao-Feng ZHAI ; Yan GU ; Yang SONG ; Zi-Wei PENG ; Hua-Hua LI ; Shou-Ying DU ; Jie BAI
China Journal of Chinese Materia Medica 2023;48(21):5798-5808
Based on the concept of quality by design(QbD), the Box-Behnken design-response surface methodology combined with standard relation(SR) and analytic hierarchy process(AHP)-entropy weight method(EWM) was applied to optimize the extraction process of the classic prescription Yihuang Decoction. The content of geniposidic acid, phellodendrine hydrochloride, and berberine hydrochloride in Yihuang Decoction, the extract yield, and fingerprint similarity were used as the critical quality attributes(CQAs) of the extraction process. The extraction time, water addition, and extraction times were used as the critical process parameters(CPPs). After determining the levels of each factor and level through single-factor experiments, response surface experiments were designed according to the Box-Behnken principle, and the experimental results were analyzed. The SR between each sample and the reference sample under various evaluation indicators of different extraction parameters was calculated. The weights of the five evaluation indicators were determined using AHP-EWM, followed by comprehensive evaluation. A function model between CPPs and CQAs characterized by comprehensive scores was established to predict the optimal extraction process parameters. In the final comprehensive weight coefficients, the yield rate accounted for 43.1%, and the content of berberine hydrochloride, phellodendrine hydrochloride, and geniposidic acid accounted for 35.1%, 6.3%, and 15.5%, respectively. After comprehensive score analysis with SR, the established second-order polynomial model was statistically significant(P<0.01, and the lack of fit was not significant). The predicted optimal extraction conditions for Yihuang Decoction were determined as follows: 8-fold volume of water, extraction time of 1.5 h, and extraction once. The mean comprehensive score of the validation experiment was 85.77, with an RSD of 0.99%, and it met the quality control stan-dards for the reference sample of Yihuang Decoction. The results indicate that the optimized extraction process for Yihuang Decoction is stable and reliable, and the water extract is close in quality attributes to the reference sample. This can serve as a foundation for the research and development of granules in the future. Box-Behnken design-response surface methodology combined with SR and AHP-EWM can provide references for the modern extraction process research of other classic prescriptions.
Drugs, Chinese Herbal
;
Analytic Hierarchy Process
;
Berberine
;
Entropy
;
Water
7.Prevalence of psoriatic arthritis in Chinese population with psoriasis: A multicenter study conducted by experienced rheumatologists.
Hua ZHANG ; Miao CHEN ; Ran CUI ; Xia LI ; Kexiang YAN ; Lihong CHEN ; Zhenghua ZHANG ; Ning YU ; Xinling BI ; Hui DENG ; Yangfeng DING ; Qiong HUANG ; Sheng-Ming DAI
Chinese Medical Journal 2023;136(12):1439-1447
BACKGROUND:
Reports on the prevalence of psoriatic arthritis (PsA) among Chinese patients with psoriasis are very limited. This study, conducted by rheumatologists, estimated the prevalence of PsA in a large number of Chinese patients with psoriasis.
METHODS:
Consecutive patients with a confirmed diagnosis of psoriasis attending nine dermatology clinics in five hospitals were recruited. All psoriasis patients were asked to complete a questionnaire comprising 16 questions to identify possible cases of PsA. All patients with one or more positive answers to the questionnaire were evaluated by two experienced rheumatologists.
RESULTS:
A total of 2434 psoriasis patients, including 1561 males and 873 females, were enrolled. Both the questionnaire and rheumatologists' examinations were completed in the dermatology clinics. The results identified 252 patients with PsA, comprising 168 males and 84 females. The overall prevalence of PsA among psoriasis patients was 10.4% (95% confidence interval [95% CI], 9.1%-11.7%). By sex, the prevalence was 10.8% (95% CI, 9.2%-12.5%) for males and 9.6% (95% CI, 7.7%-11.9%) for females and there was no significant sex difference in the prevalence of PsA (P = 0.38). Of the 252 PsA patients, 125 (49.6%, 95% CI, 41.3%-59.1%) were newly diagnosed by rheumatologists. Consequently, the prevalence of undiagnosed PsA among psoriasis patients was 5.2% (95% CI, 4.4%-6.2%).
CONCLUSION
The prevalence of PsA in the Chinese population with psoriasis is about 10.4%, which is almost double that of previous reports in the Chinese population, but lower than that in Caucasians.
Humans
;
Female
;
Male
;
Arthritis, Psoriatic/epidemiology*
;
Rheumatologists
;
Prevalence
;
East Asian People
;
Psoriasis/epidemiology*
8.Risk factors for neonatal asphyxia and establishment of a nomogram model for predicting neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture: a multicenter study.
Fang JIN ; Yu CHEN ; Yi-Xun LIU ; Su-Ying WU ; Chao-Ce FANG ; Yong-Fang ZHANG ; Lu ZHENG ; Li-Fang ZHANG ; Xiao-Dong SONG ; Hong XIA ; Er-Ming CHEN ; Xiao-Qin RAO ; Guang-Quan CHEN ; Qiong YI ; Yan HU ; Lang JIANG ; Jing LI ; Qing-Wei PANG ; Chong YOU ; Bi-Xia CHENG ; Zhang-Hua TAN ; Ya-Juan TAN ; Ding ZHANG ; Tie-Sheng YU ; Jian RAO ; Yi-Dan LIANG ; Shi-Wen XIA
Chinese Journal of Contemporary Pediatrics 2023;25(7):697-704
OBJECTIVES:
To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia.
METHODS:
A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively.
RESULTS:
Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia.
CONCLUSIONS
The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn
;
Humans
;
Male
;
Pregnancy
;
Female
;
Nomograms
;
Retrospective Studies
;
Cesarean Section
;
Risk Factors
;
Asphyxia Neonatorum/etiology*
9.Construction and evaluation of risk prediction model for renal injury in tumor patients receiving PD-1 inhibitor treatment
Pei-Yu LU ; Yan YANG ; Hua ZHOU ; Bi-Xia YANG ; Min YANG
Medical Journal of Chinese People's Liberation Army 2023;48(11):1328-1337
Objective To explore the risk factors for renal injury in tumors patients treated with programmed death receptor-1(PD-1)inhibitor,and further construct a column chart model to predict the likelihood of renal injury in patients.Methods The present study is a single center retrospective analysis.447 patients with tumors treated with PD-1 inhibitors in the Third Affiliated Hospital of Soochow University between January 2018 and January 2021 were included and followed up until January 2022.Kidney injury was defined as acute kidney disease(AKD).All patients were divided into AKD group(n=71)and non-AKD group(n=376 according to whether PD-1 inhibitor associated with AKD development at the end of follow-up.Basic information,disease and medication situation,laboratory indicators,and the incidence of extrarenal immune related adverse events(irAEs)during follow-up period were compared between the two groups.Univariate and multivariate logistic regression models were used to identify independent risk factors for PD-1 inhibitor associated AKD.The present study randomly divided all samples(n=447)into training set(n=313)and validation set(n=134)in a 7:3 ratio,built nomogram prediction models in the training set according to the screened independent risk factors,drawn the receiver operating characteristic(ROC)curves to evaluate the discrimination of the models,drawn calibration curves to evaluate the calibration of the models,and drawn clinical decision curve analysis(DCA)to explore the clinical validity and benefit rate of the models.Results The combination of antibiotics,diabetes,hypertension,extrarenal irAEs and cystatin C(Cys C)in AKD group were significantly higher than those in non-AKD group(P<0.05),but hemoglobin(Hb)was significantly lower than that in non-AKD group(P<0.05).Single factor logistic regression analysis showed that combination of antibiotics,diabetes,hypertension,extrarenal irAEs,lower Hb,estimated glomerular filtration rate(eGFR),higher blood urea nitrogen(BUN),serum creatinine(SCr),Cys C,fasting blood glucose(FBG),and alanine transaminase(ALT)were risk factors for PD-1 inhibitor related AKD(P<0.05).Multivariate logistic regression analysis showed that concomitant extrarenal irAEs,lower Hb,higher SCr,and direct bilirubin(DBIL)were independent risk factors for PD-1 inhibitor associated AKD(P<0.05).Based on the independent risk factors mentioned above,a column chart prediction model was further established and validated.The results showed that the area under the ROC curve(AUC)of the training and validation sets of the model were 0.703(95%CI 0.628-0.777)and 0.791(95%CI 0.671-0.911),respectively,indicating good discrimination.The calibration curves of both the training and validation sets hover around the ideal line of 45°,indicating that the model has good calibration.DCA shows that the constructed model curve is far away from the two polar lines(the curve with a net benefit of 0 and the curve with all samples being positive),indicating that the model has good clinical benefits.Conclusion The combination of extrarenal irAEs,lower Hb,higher SCr,and higher DBIL are independent risk factors for the occurrence of PD-1 inhibitor related AKD;The established column chart model has good discrimination and calibration,which can provide guidance for clinical practice.
10. Wheat TaMYB1A Negatively Regulates the Phenylpropanoid Pathway and Plant Height
Zhou XIA ; Mei-Hua SU ; Chen SUN ; Na JIA ; Di LAN ; Guang-Yan GUO ; Cai-Li BI
Chinese Journal of Biochemistry and Molecular Biology 2023;39(9):1300-1313
The phenylpropanoid pathway is one of the important pathways for synthesizing plant secondary metabolites, which can produce lignin, flavonoid, and sinapoylmalate. These compounds can not only affect the plant growth, development, and stress response, but also be used to produce perfume, pesticide, dye, medicine, feed, and biomass energy. R2R3-MYBs play important roles in regulating plant secondary metabolism, organ development, and in responding to environmental stresses. Wheat (Triticum aestivum L.) is an important food crop, but lots of straw will be produced accompanied by grain yields. Therefore, elucidating the function and regulatory mechanism of R2R3 MYBs of wheat is crucial for the effective utilization of the wheat straw. RT-PCR results showed that TaMYB1A was highly expressed in the wheat stems, and the GFP-TaMYB1A fusion protein was mainly localized in the nucleus of the N. benthamiana epidermal cells. TaMYB1A has transcriptional repressive activity in yeast cells. In this study, TaMYB1A-overexpressed transgenic Arabidopsis lines were generated to elucidate the effect of overexpression of TaMYB1A on the biosynthesis of lignin and flavonoid. Our results suggested that overexpression of TaMYB1A inhibited the plant height (P < 0. 05) and decreased the lignin (P < 0. 05) and flavonoid (P < 0. 05) biosynthesis of the transgenic Arabidopsis plants significantly. TaMYB1A could bind to the promoters of the Arabidopsis At4CL1, AtC4H, AtC3H, and AtCHS as well as the wheat Ta4CL1 and TaC4H1 revealed by yeast one-hybrid (Y1H) assasy, the transcriptional repressive effect of TaMYB1A on At4CL1, AtC4H, AtC3H, and AtCHS was confirmed by dual-luciferase reporter systems and also on Ta4CL1 and TaC4H1 by a genetic approach. Gene chip and quantitative RT-PCR (qRT-PCR) results showed that overexpression of TaMYB1A down-regulated the expression of most of the key genes involved in the phenylpropanoid metabolism and decreased the 4CL activity (P < 0. 05) of the transgenic Arabidopsis plants significantly. As suggested above, the wheat TaMYB1A belongs to the subgroup 4 R2R3 MYB transcription factors. TaMYB1A could bind to the promoters of the key genes involved in phenylpropanoid metabolism, repress their expression and negatively regulate the phenylpropanoid metabolism pathway and plant height.


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