1.Serpina3c Mitigates Adipose Tissue Inflammation by Inhibiting the HIF1α-Mediated Endoplasmic Reticulum Overoxidation in Adipocytes
Yu JIANG ; Jia-Qi GUO ; Ya WU ; Peng ZHENG ; Shao-Fan WANG ; Meng-Chen YANG ; Gen-Shan MA ; Yu-Yu YAO
Diabetes & Metabolism Journal 2026;50(1):62-76
Background:
Visceral white adipose tissue (vWAT) inflammation is a critical pathology of obesity-caused heart damage and is closely associated with adipocyte endoplasmic reticulum (ER) dysfunction. Serine (or cysteine) peptidase inhibitor, clade A, member 3C (Serpina3c) has been identified as an adipokine with anti-vWAT inflammatory effects. However, it remains unclear whether Serpina3c deficiency promotion of vWAT inflammation involves adipocyte ER dysfunction and whether it further contributes to heart damage in obesity.
Methods:
Wild type and Serpina3c knockout (Serpina3c–/–) mice were fed a high-fat diet (HFD) for 12 weeks. An adeno-associated virus (AAV) was injected locally into epididymal white adipose tissue (eWAT) of Serpina3c–/– mice to induce eWAT-adipocyte- specific overexpression of Serpina3c (AAV-Serpina3c) or knockdown of hypoxia-inducible factor 1α (AAV-shHIF1α). In vitro experiments were performed in 3T3-L1 adipocytes.
Results:
Serpina3c–/– mice exhibited more severe eWAT, serum and heart inflammation after HFD feeding. Consistently, these adverse phenotypes were mitigated in AAV-Serpina3c and AAV-shHIF1α mice. Mechanistically, ER oxidoreductase 1α (Ero1α) and protein disulfide isomerase (PDI) family members PDIA3 and PDIA4 were found to be target genes of HIF1α. In the obese mice, Serpina3c deficiency caused adipocyte more hypertrophy, and activated HIF1α-Ero1α/PDI mediated ER overoxidation and ER stress in eWAT. Subsequently, this led to increased adipocyte apoptosis and chemokine production and decreased adiponectin expression, which promoted macrophage infiltration and M1 polarization in eWAT, thus exacerbating eWAT inflammation and ultimately facilitating serum and distal heart inflammation.
Conclusion
These findings indicate that Serpina3c is a significant regulator of adipocyte ER redox homeostasis, thus highlighting Serpina3c as a potential therapeutic target for obesity-related eWAT inflammation and heart damage.
2.Effect of Electroacupuncture on Metabolism-Inflammation Network in Patients with Simple Obesity:A Randomized Controlled Trial
Qi SHU ; Qiumei PENG ; Zhihao XU ; Shanshan FANG ; Wenjing SHAO ; Hongliang CHENG ; Rilong HUANG ; Qing YU ; Ronglin CAI
Journal of Traditional Chinese Medicine 2026;67(13):1415-1421
ObjectiveTo observe the clinical efficacy of electroacupuncture in treatment of simple obesity patients and its effects on the metabolism-inflammation network. MethodsSeventy-two patients with simple obesity were randomly divided into a electroacupuncture group and a sham electroacupuncture group, with 36 patients in each group. In the electroacupuncture group, conventional acupuncture was applied at Zhongwan (CV 12), bilateral Tianshu (ST 25), bilateral Daheng (SP15), Qihai (CV 6), Guanyuan (CV 4), bilateral Zusanli (ST 36) and Fenglong (ST 40). The sham electroacupuncture group used placebo needle at same acupoints as the electroacupuncture group. Both groups were given sparse-dense waves with a frequency of 2/10 Hz, 30 minutes per session, 3 times a week, for a total of 8 weeks of treatment. The changes of human body parameters including body weight, body mass index (BMI), waist circumference, and body fat percentage (BFP), metabolic factors including serum fasting blood glucose (FBG), triglyceride (TG), total cholesterol (TC), high density lipoprotein (HDL), low density lipoprotein (LDL), leptin, and ghrelin, and inflammatory factors including interleukin-6 (IL-6) and tumor necrosis factor α (TNF-α) were compared before and after treatment. Correlations between changes in leptin, ghrelin and inflammatory factors were further analyzed. ResultsWaist circumference was significantly reduced after treatment in both groups compared with baseline (P<0.05), and the post-treatment waist circumference was lower in the electroacupuncture group than in the sham electroacupuncture group (P<0.05); body weight, BMI and BFP decreased significantly after treatment compared to pretreatment levels in the electroacupuncture group (P<0.05). Serum leptin, IL-6 and TNF-α declined significantly after treatment in both groups versus baseline (P<0.05); the electroacupuncture group had lower post-treatment levels of leptin, IL-6 and TNF-α as well as larger pre-post changes than the sham group (P<0.05); ghrelin increased markedly after treatment in both groups (P<0.05), with higher post-treatment ghrelin and greater pre-post variation observed in the electroacupuncture group (P<0.05). In the electroacupuncture group, changes in ghrelin were negatively correlated with IL-6 and positively correlated with TNF-α (P<0.01); in the sham electroacupuncture group, ghrelin changes were negatively correlated with both IL-6 and TNF-α, whereas leptin changes were positively correlated with the two inflammatory markers (P<0.01). ConclusionElectroacupuncture can effectively improve clinical manifestations, as well as regulate serum metabolic and pro-inflammatory factors in patients with simple obesity, and discrepant correlation patterns of metabolism-inflammation are observed between the two groups.
3.Epidemiological characteristics of dengue fever and molecular characteristics of indigenous epidemic strains in Fujian from 2019 to 2022
Ting-ting YU ; Nai-peng KAN ; Qi LIN ; Jing-zhang WANG
Chinese Journal of Zoonoses 2025;41(4):427-433
To study the epidemiological characteristics of dengue fever(DF)cases and the molecular characteristics of local dengue virus(DENV)in Fujian from 2019 to 2022,and provide evidence for the prevention and control of DF.Statistically analyzed the demographic and epidemiological characteristics of imported and local DF cases.The locally prevalent strains from various regions and some imported strains were sequenced to analyze homology and construct phylogenetic trees by using software MEGA(version 6.0).A total of 1 661 DF cases,including 699 imported cases and 962 local cases were reported in Fujian from 2019 to 2022.The imported cases were mainly concentrated from June to October,whereas the local cases were mainly concentrated from August to October.All 10 cities in Fujian had imported cases reported,and local cases had been reported in all regions except Longyan.The male to female ratio in the imported cases(4.07∶1)was higher than that in the local cases(0.95∶1),and the median age of the imported cases(43 years old)was lower than that of the local cases(46 years old).The imported cases mainly came from Cambodia locally prevalent strains of DENV1 all belonged to genotypeⅠ,which may originate from other provinces or Southeast Asian countries such as Cambodia.The first locally prevalent cases of DENV4 were found in Putian,and the phylogenetic trees of DENV4 E gene showed that the locally prevalent strains of DENV4 in Putian were genotypeⅡ,which may originate from Singapore.They face a high risk of local DF outbreaks caused by imported DF cases,and the local epidemic areas appear a certain degree of spreading trend.It is necessary to strengthen the multi-sectoral cooperation and improve supervision systems.Timely discovery and tracing of cases to provide a basis for scientific prevention and control of DF.
4.Prognostic value of neutrophil-to-lymphocyte ratio combined with CURB-65 score for elderly patients with community-acquired pneumonia admitted to department of emergency
Jia-yi ZHENG ; Fu-peng WU ; Hai-su LU ; Yu-qi TAO ; Ke-yu SUN
Fudan University Journal of Medical Sciences 2025;52(3):416-423
Objective To develop an objective and precise prognostic model for assessing severity and prognosis in elderly patients with community-acquired pneumonia(CAP)admitted to the emergency department.Methods A retrospective analysis was conducted on elderly patients with CAP admitted to Department of Emergency,Minhang Hospital,Fudan University between Jun 2018 and Dec 2020.With the primary outcome being the 30-day in-hospital mortality rate of elderly CAP patients,four systemic inflammatory response markers,including the neutrophil-to-lymphocyte ratio(NLR),monocyte-to-lymphocyte ratio(MLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammation index(SII)were evaluated using univariate and multivariate Logistic regression analyses.The predictive performance of different scoring systems was compared.Results A total of 421 elderly CAP cases were enrolled.The results of the multivariate Logistic regression analysis demonstrated that NLR was an independent risk factor for elderly inpatients with CAP.We combined NLR with the existing CURB-65 score for joint optimization to construct a scoring system or a clinical prognosis model,by quantifying and assigning optimal cut-off value of 11.4 for NLR,and established the NLR+CURB-65 score.The ROC curve was constructed to compare the areas under the curve of the three different scoring systems(NLR,CURB-65,and NLR+CURB-65).The area under the curve of the NLR+CURB-65 score was significantly higher than that of the CURB-65 score.Based on the optimal cut-off value of 3 for NLR+CURB-65 score,the patients were stratified into high-risk group(n=188)and low-risk group(n=233).The K-M survival curve was utilized and indicated that compared with high-risk group,low-risk group had a lower mortality rate and a higher discharge rate.Conclusion For elderly emergency hospitalized patients with CAP,the combination of NLR and CURB-65 score showed high predictive value for assessing disease severity and prognosis.
5.Prognostic value of neutrophil-to-lymphocyte ratio combined with CURB-65 score for elderly patients with community-acquired pneumonia admitted to department of emergency
Jia-yi ZHENG ; Fu-peng WU ; Hai-su LU ; Yu-qi TAO ; Ke-yu SUN
Fudan University Journal of Medical Sciences 2025;52(3):416-423
Objective To develop an objective and precise prognostic model for assessing severity and prognosis in elderly patients with community-acquired pneumonia(CAP)admitted to the emergency department.Methods A retrospective analysis was conducted on elderly patients with CAP admitted to Department of Emergency,Minhang Hospital,Fudan University between Jun 2018 and Dec 2020.With the primary outcome being the 30-day in-hospital mortality rate of elderly CAP patients,four systemic inflammatory response markers,including the neutrophil-to-lymphocyte ratio(NLR),monocyte-to-lymphocyte ratio(MLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammation index(SII)were evaluated using univariate and multivariate Logistic regression analyses.The predictive performance of different scoring systems was compared.Results A total of 421 elderly CAP cases were enrolled.The results of the multivariate Logistic regression analysis demonstrated that NLR was an independent risk factor for elderly inpatients with CAP.We combined NLR with the existing CURB-65 score for joint optimization to construct a scoring system or a clinical prognosis model,by quantifying and assigning optimal cut-off value of 11.4 for NLR,and established the NLR+CURB-65 score.The ROC curve was constructed to compare the areas under the curve of the three different scoring systems(NLR,CURB-65,and NLR+CURB-65).The area under the curve of the NLR+CURB-65 score was significantly higher than that of the CURB-65 score.Based on the optimal cut-off value of 3 for NLR+CURB-65 score,the patients were stratified into high-risk group(n=188)and low-risk group(n=233).The K-M survival curve was utilized and indicated that compared with high-risk group,low-risk group had a lower mortality rate and a higher discharge rate.Conclusion For elderly emergency hospitalized patients with CAP,the combination of NLR and CURB-65 score showed high predictive value for assessing disease severity and prognosis.
6.Quantitative evaluation of the policy on mutual recognition of medical examination and inspection results in medical institutions based on the PMC index model
Ge-yuan LI ; Yu TIAN ; Cheng-yu MA ; Ran PENG ; Ya-nan PANG ; Xin QI ; Xin SUN
Chinese Journal of Health Policy 2025;18(7):18-26
Objective:To quantitatively evaluate the policy texts on mutual recognition of examination and inspection results at the national and local levels in China from 2006 to 2025 based on the PMC index model,and provide reference for policy formulation and improvement.Methods:The ROSTCM6 software was used to sort out and conduct text mining on 27 policy documents issued at the national and local levels,establishing the PMC index model for the mutual recognition of examination and inspection results in China.Quantitative analysis was conducted through a PMC evaluation system consisting of 9 first-level variables and 39 second-level variables.Results:The average PMC index was 6.06(excellent level).Among the 27 policies,4 were rated as perfect,18 as excellent,and 5 as acceptable.Conclusions:Current policies need to strengthen the formulation of scientific and feasible goals,improve legal guarantees and medical insurance coordination mechanisms,and build a complete data security maintenance system to provide policy support and guarantees for the continuous advancement of the mutual recognition of examination and inspection results.
7.Construction and evaluation of a fecal pollution risk prediction model for children with congenital megacolon after radical resection based on mul-tivariate analysis
Jing TIAN ; Peng ZHANG ; Yu-min QI ; Shu-feng SHI ; Yan WANG
Chinese Journal of Current Advances in General Surgery 2025;28(10):789-795
Objective:Based on multivariate analysis of the influencing factors of fecal pollution after radical re-section in children with congenital megacolon,a risk prediction model was constructed and evaluated.Methods:A total of 200 children with Hirschsprung's disease who underwent radical surgery at Nanyang Central Hospital of Henan Province from June 2020 to June 2023 were selected,and all children were followed up for 1 year.According to the occurrence of postoperative fecal incontinence,the children were divided into the non-occurrence group and the oc-currence group.Univariate Logistic regression analysis was performed on all possible influencing factors,and the back-ward stepwise regression method was used to screen out the relevant factors affecting postoperative fecal inconti-nence in children with Hirschsprung's disease after radical surgery.A risk prediction model was constructed based on these relevant factors,and its efficacy was verified using calibration curves,the Hosmer-Lemeshow test,and ROC curves.Results:Postoperative fecal incontinence occurred in 19.50%(39/200)of the children.A statistically signifi-cant difference was observed between the non-occurrence group and the occurrence group in terms of the following data(P<0.05):age,preoperative nutritional support,need for auxiliary defecation before surgery,length of the dis-eased intestinal segment,educational level of caregivers,preoperative hypoproteinemia,resection range,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative enterocolitis,and post-operative anal dilatation therapy.Multivariate Logistic regression analysis showed that preoperative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,educational level of caregivers,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative entero-colitis,and postoperative anal dilatation therapy were all independent influencing factors for postoperative fecal inconti-nence in children with Hirschsprung's Disease after radical surgery(P<0.05).Among these factors,the educational level of caregivers was the strongest predictor of postoperative fecal incontinence in children with Hirschsprung's dis-ease after radical surgery.Results of the calibration curve showed that the concordance index of the risk prediction model for postoperative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.837.The Hosmer-Lemeshow test results indicated no statistically significant difference between the predicted values and the actual values of risk prediction(P<0.05),suggesting that the model had a good fit and high prediction accuracy.Re-sults of the ROC curve showed that the area under the curve(AUC)of the risk prediction model for predicting postop-erative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.887(95%CI:0.762~1.000,P<0.05),with a sensitivity of 0.914,a specificity of 0.763,and a Youden index of 0.677.These findings indicate that the risk prediction model has moderate discriminative ability and good predictive performance.Conclusion:Preop-erative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,edu-cational level of caregivers,postoperative diet compliance of children,postoperative defecation training of children,postoperative enterocolitis,and postoperative anal dilatation therapy are all independent influencing factors for postop-erative fecal incontinence in children with Hirschsprung's disease after radical surgery.The risk prediction model for postoperative fecal incontinence in children with Hirschsprung's disease after radical surgery,established based on multivariate analysis,is helpful for early identification of high-risk groups and timely implementation of individualized in-tervention measures.
8.Effect of acupuncture on postoperative delirium in diabetic patients undergoing surgery under general anesthesia
Jiaxi LIU ; Qi WANG ; Lingling DING ; Jiaqi NING ; Hai KE ; Zhuoya CHEN ; Bo YU ; Weiming SUN ; Peng CHEN ; Xiang LI ; Shishun KOU ; Reiling ZHOU ; Yudong ZHOU ; Yan GUO ; Mengjie CHEN ; Ruyu YAN ; Jiansheng LUO
Chinese Journal of Anesthesiology 2025;45(10):1313-1316
Objective:To evaluate the effect of acupuncture on postoperative delirium (POD) in diabetic patients undergoing surgery under general anesthesia.Methods:In this randomized controlled trial, 92 diabetic patients of either sex, aged 30-80 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅱ or Ⅲ, scheduled for elective surgery under general anesthesia, were divided into 2 groups ( n=46 each) using a table of random numbers: control group (group C) and acupuncture group (group A). Group A received acupuncture at the Baihui (GV20), Shenting (GV24) and Sishencong (EX-HN1) acupoints before anesthesia. The needles were retained for 30 min, with manual stimulation applied every 10 min for 10 s each time. After 4 stimulations, routine anesthesia was carried out. Group C received routine anesthesia only. Regional cerebral oxygen saturation was recorded on admission to the operating room (T 0), after anesthesia induction (T 1), at the start of surgery (T 2), at the end of surgery (T 3), and immediately after tracheal extubation (T 4). The POD developed within 3 days after surgery was assessed. The occurrence of needle-related adverse effects such as fainting, subcutaneous bleeding, and local paresthesia was recorded. Results:Compared with group C, the incidence of POD was significantly reduced, and the regional cerebral oxygen saturation was increased at T 1, 4 in group A ( P<0.05). Conclusions:Acupuncture can decrease the development of POD in diabetic patients undergoing surgery under general anesthesia, which is related to an increase in regional cerebral oxygen saturation.
9.Construction and evaluation of a fecal pollution risk prediction model for children with congenital megacolon after radical resection based on mul-tivariate analysis
Jing TIAN ; Peng ZHANG ; Yu-min QI ; Shu-feng SHI ; Yan WANG
Chinese Journal of Current Advances in General Surgery 2025;28(10):789-795
Objective:Based on multivariate analysis of the influencing factors of fecal pollution after radical re-section in children with congenital megacolon,a risk prediction model was constructed and evaluated.Methods:A total of 200 children with Hirschsprung's disease who underwent radical surgery at Nanyang Central Hospital of Henan Province from June 2020 to June 2023 were selected,and all children were followed up for 1 year.According to the occurrence of postoperative fecal incontinence,the children were divided into the non-occurrence group and the oc-currence group.Univariate Logistic regression analysis was performed on all possible influencing factors,and the back-ward stepwise regression method was used to screen out the relevant factors affecting postoperative fecal inconti-nence in children with Hirschsprung's disease after radical surgery.A risk prediction model was constructed based on these relevant factors,and its efficacy was verified using calibration curves,the Hosmer-Lemeshow test,and ROC curves.Results:Postoperative fecal incontinence occurred in 19.50%(39/200)of the children.A statistically signifi-cant difference was observed between the non-occurrence group and the occurrence group in terms of the following data(P<0.05):age,preoperative nutritional support,need for auxiliary defecation before surgery,length of the dis-eased intestinal segment,educational level of caregivers,preoperative hypoproteinemia,resection range,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative enterocolitis,and post-operative anal dilatation therapy.Multivariate Logistic regression analysis showed that preoperative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,educational level of caregivers,postoperative diet compliance of the children,postoperative defecation training of the children,postoperative entero-colitis,and postoperative anal dilatation therapy were all independent influencing factors for postoperative fecal inconti-nence in children with Hirschsprung's Disease after radical surgery(P<0.05).Among these factors,the educational level of caregivers was the strongest predictor of postoperative fecal incontinence in children with Hirschsprung's dis-ease after radical surgery.Results of the calibration curve showed that the concordance index of the risk prediction model for postoperative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.837.The Hosmer-Lemeshow test results indicated no statistically significant difference between the predicted values and the actual values of risk prediction(P<0.05),suggesting that the model had a good fit and high prediction accuracy.Re-sults of the ROC curve showed that the area under the curve(AUC)of the risk prediction model for predicting postop-erative fecal incontinence in children with Hirschsprung's Disease after radical surgery was 0.887(95%CI:0.762~1.000,P<0.05),with a sensitivity of 0.914,a specificity of 0.763,and a Youden index of 0.677.These findings indicate that the risk prediction model has moderate discriminative ability and good predictive performance.Conclusion:Preop-erative nutritional support,need for auxiliary defecation before surgery,length of the diseased intestinal segment,edu-cational level of caregivers,postoperative diet compliance of children,postoperative defecation training of children,postoperative enterocolitis,and postoperative anal dilatation therapy are all independent influencing factors for postop-erative fecal incontinence in children with Hirschsprung's disease after radical surgery.The risk prediction model for postoperative fecal incontinence in children with Hirschsprung's disease after radical surgery,established based on multivariate analysis,is helpful for early identification of high-risk groups and timely implementation of individualized in-tervention measures.
10.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

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