1.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
2.Yimei Baijiang Formula Treats Colitis-associated Colorectal Cancer in Mice via NF-κB Signaling Pathway
Qian WU ; Xin ZOU ; Chaoli JIANG ; Long ZHAO ; Hui CHEN ; Li LI ; Zhi LI ; Jianqin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):119-130
ObjectiveTo explore the effects of Yimei Baijiang formula (YMBJF) on colitis-associated colorectal cancer (CAC) and the nuclear factor kappaB (NF-κB) signaling pathway in mice. MethodsSixty male Balb/c mice of 4-6 weeks old were randomized into 6 groups: Normal, model, capecitabine (0.83 g
3.Severe Hypertriglyceridemia-Induced Acute Pancreatitis in Pregnancy: A Case Report and Review of Management
Shaleela Mohd Esha ; Chua Yi Jiang ; Wong Hui Chin ; Ooi Xin Yi ; Yong Sy Liang
Journal of the ASEAN Federation of Endocrine Societies 2026;41(S1):65-
Introduction:
Severe hypertriglyceridemia during pregnancy is a rare
yet potentially life-threatening disorder. It is frequently
linked to acute pancreatitis and poses considerable risks
for both maternal and fetal morbidity.
Case:
We report a 35-year-old G4P3 female at 33 + 6 weeks
gestation with underlying type 2 diabetes mellitus who
presented with acute abdominal pain, nausea, vomiting,
and poor oral intake, initially mistaken for preterm labor
and sepsis. Further evaluation revealed profound hypertriglyceridemia (triglycerides 79.1 mmol/L) with markedly
elevated total cholesterol (>32 mmol/L) and raised serum
amylase, consistent with hypertriglyceridemia-induced
acute pancreatitis. She was managed in a multidisciplinary
setting with intravenous insulin infusion, dextrose supplementation, aggressive fluid resuscitation, and empiric
antibiotics. Due to clinical deterioration and ongoing risk of
maternal complications, she underwent emergency lower
segment caesarean section and exploratory laparotomy
at 34 weeks of gestation. Intraoperative findings included
inflammatory intra-abdominal fluid and a bulky pancreas,
supporting the diagnosis. Rapid biochemical improvement was observed following treatment, with triglyceride levels
decreasing by approximately 70% within 24 hours (79.1–
24.0 mmol/L) and achieving >90% reduction over 10 days.
Postpartum management included initiation of omega-3
fatty acids, fibrate, and statin therapy, resulting in sustained
lipid control. Ophthalmologic examination demonstrated
lipemia retinalis, further confirming severe dyslipidemia.
Conclusion
This case highlights the importance of early recognition of
severe hypertriglyceridemia in pregnancy, particularly in
patients with metabolic risk factors such as diabetes. Prompt
initiation of insulin therapy can achieve rapid triglyceride
reduction and may obviate the need for plasmapheresis in
selected cases. Delivery should be considered in the setting
of maternal instability. Long-term lipid management
postpartum is essential for preventing recurrence and
reducing future metabolic risk. A multidisciplinary
approach remains critical in optimizing both maternal and
fetal outcomes in this rare but serious condition.
Female
;
Pregnancy
;
Acute Disease
;
Pancreatitis
4.Outlook on clinical blood demand from 2026 to 2035
Meng JIANG ; Hanmei ZHANG ; Linlin LI ; Jian KONG ; Xin WANG ; Minxiang GUO ; Cheng LIANG ; Hui WU
Chinese Journal of Blood Transfusion 2026;39(8):1074-1082
Objective: To analyze the demographic evolution of China over the forthcoming decade (2026-2035) and to systematically evaluate its potential implications for voluntary blood donation practices and the equilibrium of clinical blood supply and demand. Methods: Leveraging comprehensive blood collection and utilization data from 2021 to 2025 at the national, provincial (Shandong), and municipal (Zibo) levels, we identified and examined critical determinants influencing blood management systems. The DeepSeek-V3.2 large language model was deployed to project future population age structures, and to generate quantitative estimates for hospitalization volumes, clinical blood requirements, available blood supply, and donation frequencies for the target years 2030 and 2035, thereby furnishing an evidence base for strategic planning and priority-setting. Results: DeepSeek-derived projections indicate that the proportion of China's population aged 60 years and above will surpass 27% (370 million/1 380 million) by 2030 and exceed 30% (400 million/1 350 million) by 2035, signaling a marked acceleration in population aging. This demographic shift is projected to reduce the proportion of the national population eligible to donate blood from 59.2% (835 million out of 1.41 billion) to 52% (710 million out of 1.36 billion), while the demand for blood is expected to increase by 87.8% relative to 2024, rising from 26.927 million units to 50.56 million units. Sustaining blood supply-demand balance will necessitate progressive annual increases in donation rates. Under prevailing policy frameworks, the required blood donation rate among the eligible population in Shandong Province would need to rise by 122.57% by 2035 [from 20.07‰ (1.1641 million person-times/58 million people) to 44.67‰ (2.189 million person-times/49 million people)] to potentially satisfy projected clinical requirements. Conclusion: By integrating DeepSeek-V3.2, AI predictive models, and blood donation incentive measures, it is possible to monitor population demographics, forecast clinical blood demand, manage blood supplies, and ensure the long-term sustainability of clinical blood availability. It must be acknowledged, however, that the present analysis is constrained by a limited data foundation (comprising only five annual observation points); accordingly, the projections should be interpreted as directional trend indicators or methodological illustrations rather than definitive quantitative forecasts.
5.Chinese expert consensus on the clinical application of recombinant human thyroid-stimulating hormone (2025 edition)
Chentian SHEN ; Yushen GU ; Hui TAN ; Anren KUANG ; Sijin LI ; Yaming LI ; Jing WANG ; Ningyi JIANG ; Jian TAN ; Zhuoying WANG ; Shaoyan LIU ; Xiaoyi LI ; Jugao FANG ; Dingcun LUO ; Youben FAN ; Hui WANG ; Yuetao WANG ; Xuemei WANG ; Feng WANG ; Wei FU ; Feng SHI ; Xuegong LIU ; Zhongwei LÜ ; Yan XING ; Lin LI ; Hui YANG ; Jun XIN ; Yifan ZHANG ; Yue CHEN ; Yansong LIN ; Wei OUYANG ; Shuzhan YAO ; Changjiu ZHAO ; Xinming ZHAO ; Zairong GAO ; Dingde HUANG ; Qiang WEN ; Xingmin HAN ; Cen LOU ; Weibing MIAO ; Wei FAN ; Quanyong LUO ; Hongcheng SHI
Chinese Journal of Clinical Medicine 2026;33(5):932-944
The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before 131I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.
6.Empowering Clinical Trial Project Management Through Low-Code Technology
Hao XIN ; Long YUAN ; Chunkai LI ; Zhidan WANG ; Zhichen ZHAO ; Yu LIANG ; Mingyan JIANG ; Yuanguo XIONG ; Yingkai WANG ; Feng WANG ; Jianhua CAO ; Hui LI
Herald of Medicine 2025;44(10):1688-1696
Objective To addresses the challenges arising from the rapid expansion of pharmaceutical clinical trials and the growing demands for quality management,this paper investigates the application of low-code technology in project management.Its goals are to enhance the operational efficiency and execution capabilities of clinical trial institutions,ensure trial quality and safety,and accelerate the translation of pharmaceutical scientific achievements.Methods A brainstorming session was conducted to analyze the technical and functional requirements for managing pharmaceutical clinical trial projects.Utilizing the "template design" and "decision analysis" functionalities of low-code technology,the study adopted a modular and visually driven data management approach to develop a system compliant with Good Clinical Practice(GCP)standards.This system integrates key functionalities,including project progress management,funding management,drug inventory management,and quality control.Its effectiveness was evaluated through real-world operation and performance validation.Results The system had demonstrated stable operation with substantial improvements in practical application.Compared with conventional management approaches,it significantly enhanced project management efficiency:the time required for project schedule management was reduced by 80%,the efficiency of financial processing increased by 95%,drug inventory management efficiency improved by 75%,and the time spent on quality control was shortened by 60%.Conclusion The pharmaceutical clinical trial project management system developed using low-code technology offers substantial advantages and promising application potential.It represents a critical practice in applying digital and intelligent tools to advance pharmaceutical productivity in the medical and healthcare sectors.
7.Comparison of biomechanical characteristics of superior and inferior pubic ramus fractures fixed with different internal fixation methods
Xin RAO ; Daixiang JIANG ; Hui LU ; Yangxing LUO ; Meng LI ; Dingxi LIU ; Qimei WU ; Rong LIU
Chinese Journal of Tissue Engineering Research 2025;29(27):5757-5764
BACKGROUND:Percutaneous retrograde screws and minimally invasive percutaneous plates are extensively used in the treatment of unilateral pubic ramus fractures.However,the above internal fixations have the disadvantages of mistakenly penetrating the hip joint and damaging the medial pelvic trophoblastic artery.A new type of retrograde superior pubic ramus intramedullary nail offers advantages,such as fewer radiographic exposures and shorter surgery times,but the validation of the biomechanical properties of the three endoprostheses is lacking.OBJECTIVE:To compare the biomechanical differences post-treatment of upper and lower pubic ramus fractures using percutaneous retrograde screws,minimally invasive percutaneous plates,and retrograde superior pubic ramus intramedullary nail under various conditions through finite element analysis.METHODS:Pelvic CT data were collected from one volunteer and imported into Mimics 20,Geomagic Wrap 2021,and SolidWorks 2019 to create geometric models of three types of internal fixation for treating unilateral pubic ramus fractures:hollow screw group,plate group,and intramedullary nail group.Each model was imported into Ansys 2022 software,where it was set up in vertical,book-opening,and shear conditions for preprocessing and calculation to compare and analyze the mechanical stability of the implants.RESULTS AND CONCLUSION:(1)In vertical conditions,the biomechanical stability of the hollow screw treatment for unilateral pubic fractures was superior to that of the steel plate and intramedullary nail,with the smallest peak stress in the implant,which was four times lower compared to the other two groups.(2)In book-opening conditions,the steel plate treatment for unilateral pubic fractures showed better biomechanical stability,particularly in reducing stress at the fracture ends of the upper pubic branch,with stress values five times higher in the other two groups.(3)In shear conditions,the intramedullary nail treatment for unilateral pubic fractures exhibited good biomechanical stability,maintaining the best pelvic displacement,with a 25%greater displacement observed in the other two groups.(4)These findings reveal the biomechanical differences of different implants:the peak stress of implants is the smallest under vertical working conditions with percutaneous retrograde screws.Minimally invasive percutaneous plates reduce the stress at the broken end of superior pubic branch under open-book working condition.Retrograde superior pubic ramus intramedullary nail of superior pubic branch maintains pelvic displacement under shear working condition.The surgeon can combine the biomechanical differences of the implants with the actual situation of pubic injury in clinical practice to make the best implant treatment.
8.Generalized Functional Linear Models: Efficient Modeling for High-dimensional Correlated Mixture Exposures.
Bing Song ZHANG ; Hai Bin YU ; Xin PENG ; Hai Yi YAN ; Si Ran LI ; Shutong LUO ; Hui Zi WEIREN ; Zhu Jiang ZHOU ; Ya Lin KUANG ; Yi Huan ZHENG ; Chu Lan OU ; Lin Hua LIU ; Yuehua HU ; Jin Dong NI
Biomedical and Environmental Sciences 2025;38(8):961-976
OBJECTIVE:
Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects.
METHODS:
We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies.
RESULTS:
We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity.
CONCLUSION
GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans
;
Environmental Exposure/analysis*
;
Linear Models
;
Nutrition Surveys
;
Environmental Pollutants
;
Body Mass Index
9.Association of Body Mass Index with All-Cause Mortality and Cause-Specific Mortality in Rural China: 10-Year Follow-up of a Population-Based Multicenter Prospective Study.
Juan Juan HUANG ; Yuan Zhi DI ; Ling Yu SHEN ; Jian Guo LIANG ; Jiang DU ; Xue Fang CAO ; Wei Tao DUAN ; Ai Wei HE ; Jun LIANG ; Li Mei ZHU ; Zi Sen LIU ; Fang LIU ; Shu Min YANG ; Zu Hui XU ; Cheng CHEN ; Bin ZHANG ; Jiao Xia YAN ; Yan Chun LIANG ; Rong LIU ; Tao ZHU ; Hong Zhi LI ; Fei SHEN ; Bo Xuan FENG ; Yi Jun HE ; Zi Han LI ; Ya Qi ZHAO ; Tong Lei GUO ; Li Qiong BAI ; Wei LU ; Qi JIN ; Lei GAO ; He Nan XIN
Biomedical and Environmental Sciences 2025;38(10):1179-1193
OBJECTIVE:
This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study.
METHODS:
A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants.
RESULTS:
Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m 2) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m 2) and obesity (≥ 28.0 kg/m 2) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m 2 ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses.
CONCLUSION
This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans
;
Body Mass Index
;
China/epidemiology*
;
Male
;
Female
;
Middle Aged
;
Prospective Studies
;
Rural Population/statistics & numerical data*
;
Aged
;
Follow-Up Studies
;
Adult
;
Mortality
;
Cause of Death
;
Obesity/mortality*
;
Overweight/mortality*
10.Predictive value of the triglyceride-glucose index combined with serological indicators for pancreatic fistula after pancreaticoduodenectomy
Jubao NIU ; Wenkai JIANG ; Cunbin LI ; Xin LI ; Hui ZHANG
Chinese Journal of General Surgery 2025;34(3):445-454
Background and Aims:Postoperative pancreatic fistula(POPF)is one of the most severe and common complications following pancreaticoduodenectomy(PD)and is a major cause of mortality after PD.Given the multiple risk factors associated with PD-POPF,developing an effective predictive model is of significant clinical importance.This study was conducted to explore the predictive performance of the triglyceride-glucose(TyG)index combined with serological indicators for POPF following PD.Methods:The preoperative general data,laboratory indicators within one week before surgery,and postoperative complication data of 291 patients who underwent PD at the Department of General Surgery,Second Hospital of Lanzhou University,from January 2019 to June 2024,were retrospectively collected.Patients were randomly divided into a modeling group(203 cases)and a validation group(88 cases)using a computer-generated random number method at a 7∶3 ratio.Univariate Logistic regression and multivariate binary Logistic regression(Back-Wald method)were performed on the modeling group data.Based on regression analysis results,a predictive model was constructed and visualized using a nomogram.The discriminative ability of the nomogram model was evaluated by the area under the receiver operating characteristic(ROC)curve(AUC).A calibration curve was used to assess the agreement between predicted and actual probabilities,and a decision curve analysis was conducted to evaluate the clinical application value of the model.Subgroup analysis was performed on potential factors influencing the outcome variables.Results:Among the 291 patients,70 developed POPF,with 49 cases in the modeling group and 21 in the validation group.There was no statistically significant difference between the two groups(all P>0.05).Univariate analysis in the modeling group identified body mass index(BMI),triglycerides,TyG index,albumin(ALB),platelet count(PLT),absolute lymphocyte count(LYM),and absolute neutrophil count(NEUT)as significant factors associated with POPF(all P<0.05).Multivariate analysis revealed that BMI,TyG index,ALB,PLT,LYM,and NEUT were independent influencing factors for POPF(all P<0.05).A PD-POPF risk prediction model and nomogram were constructed based on these results.The model achieved an AUC of 0.80(0.73-0.86),and when applied to the validation group,the ROC analysis yielded an AUC of 0.80(0.70-0.90).The calibration curves of both the modeling and validation groups closely aligned with the standard curve.Subgroup analysis indicated that tumor nature and tumor stage had minimal impact on PD-POPF risk factors,demonstrating good model stability.Conclusion:The TyG index,along with BMI,PLT,NEUT,ALB,and LYM,is closely associated with PD-POPF occurrence.The risk prediction model based on the TyG index and these influencing factors exhibits good predictive performance and holds significant clinical value for guiding early intervention.


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