1.Programmed death receptor 1 inhibits osteogenic differentiation of rat bone marrow mesenchymal stem cells in a high glucose environment
Nianrong HAN ; Yifei HUANG ; Akram·Osman ; Yanlu LIU ; Wei HU
Chinese Journal of Tissue Engineering Research 2025;29(19):3961-3967
BACKGROUND:The mechanism of programmed death receptor-1(PD-1)effect on osteogenic differentiation of bone marrow mesenchymal stem cells in high glucose environment remains unclear. OBJECTIVE:To explore the effect of PD-1 on osteogenic differentiation of rat bone marrow mesenchymal stem cells in high glucose environment and its regulatory mechanism. METHODS:Rat bone marrow mesenchymal stem cells were randomly divided into normal glucose group(5.6 mmol/L),high glucose group(30 mmol/L),PD-1 overexpression group,PD-1 overexpression no-load group,PD-1 knockdown group,PD-1 knockdown no-load group,and PI3K/AKT pathway inhibitor group(PD-1 knockdown+5 μmol/L LY294002).Rat bone marrow mesenchymal stem cells were cultured in high glucose to simulate the diabetic environment in vitro.The mRNA expression of PD-1 and ligand PD-L1 and the mRNA expression of osteogenic markers Runx2 and OSX in rat bone marrow mesenchymal stem cells were detected by qRT-PCR.The osteogenic differentiation ability was observed by alkaline phosphatase staining and alizarin red staining.Cell proliferation was detected by CCK-8 assay.The protein expressions of PD-1,PD-L1,p-PI3K,and p-AKT were detected by western blot assay. RESULTS AND CONCLUSION:(1)The levels of PD-1 and PD-L1 were significantly increased in the high glucose environment in vitro,and the osteogenic differentiation ability of bone marrow mesenchymal stem cells was inhibited in the high glucose environment.(2)Knockdown of PD-1 expression could promote osteogenic differentiation of bone marrow mesenchymal stem cells,increase cell proliferation activity,and activate the PI3K/AKT pathway.(3)After addition of PI3K/AKT pathway inhibitor LY294002,the ability of bone marrow mesenchymal stem cells to differentiate into osteoblasts decreased.The results show that PD-1 is dependent on the PI3K/AKT signaling pathway to inhibit osteogenic differentiation of rat bone marrow mesenchymal stem cells under high glucose environment.
2.Human Digital Metabolic Chamber Platform: Construction Standards and Testing Specifications
Weiqing WANG ; Shijia PAN ; Yixiang HU ; Yashu ZHU ; Riqiang BAO ; Guang NING ; Yifei ZHANG ; Lifeng ZHU ; Xiaoxia LUO ; Jiqiu WANG ; Zhuoran ZHANG ; Shi XIANG
Chinese Journal of Endocrinology and Metabolism 2025;41(12):1-16
This document targets digital human metabolic chamber platforms and specifies construction standards and testing protocols covering the full lifecycle of " build-test-operate." It encompasses chamber engineering and environmental control, digital platform and cybersecurity architecture, metabolic measurement and multimodal data acquisition, as well as quantitative system performance and data quality indicators with verifiable acceptance tests. By standardizing architecture, interfaces, and quality control, the specification enables multicenter data interoperability and harmonized quality management, providing high-quality, verifiable, and traceable infrastructure to support precision metabolism research and clinical translation in China.
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.The trend and prediction of health literacy level of Chinese residents from 2012 to 2023
Shaojie LI ; Yang HU ; Longbing REN ; Yuling JIANG ; Yifei WU ; Yao YAO
Chinese Journal of Preventive Medicine 2025;59(1):8-15
Objective:To analyze the trend of the health literacy level of Chinese residents from 2012 to 2023 and predict the health literacy level from 2024 to 2027.Methods:The study collected data on the health literacy surveillance of Chinese residents from 2012 to 2023. The Joinpoint regression model was used to calculate the average annual percent change (AAPC) and analyze the trend. The interrupted time series analysis with Prais-Winsten transformed generalized least squares estimation was employed to investigate the impact of the"Healthy China 2030" policy on residents′ health literacy levels. Joinpoint regression, autoregressive integrated moving average model and grey forecasting models were established to select the optimal model for forecasting health literacy levels from 2024 to 2027.Results:The results showed that the health literacy level of Chinese residents increased from 8.80% in 2012 to 29.70% in 2023 (AAPC=11.65%, P<0.05). The health literacy level of urban and rural residents increased from 11.79% and 7.13% in 2012 to 33.25% and 26.23% in 2023, respectively (AAPC=9.57% and 12.60%, both P<0.05). Rural (1.59% per year) saw a lower average annual increase than urban (1.79% per year), widening the urban-rural health literacy gap. All aspects of health literacy, including basic knowledge and concepts, healthy lifestyles and behaviors, and health skills, showed an upward trend. The literacy level of six health issues—safety and first aid, scientific health views, health information, infectious disease prevention, chronic disease prevention, and basic medical care—also exhibited rising trends. Interrupted time series analysis indicated a significant further increase in the health literacy level of Chinese residents after the implementation of the "Healthy China 2030" policy, with the growth rate increasing from 0.615% per year before implementation to 2.655% per year afterwards. The Joinpoint regression model showed superior predictive performance compared to autoregressive integrated moving average model and grey forecasting models. The prediction results suggested a continued upward trend in the health literacy level from 2024 to 2027, reaching 32.68%, 35.62%, 38.84%, and 42.34%, respectively. Conclusion:From 2012 to 2023, the overall and various aspects of health literacy among Chinese residents show a continuous upward trend. This study predicts that the level of residents′ health literacy will continue to rise by 2027.
5.Development status of maternal and child health care institutions in China from 2012 to 2022
Ting HUANG ; Bing WANG ; Wenqiang YIN ; Yifei CAO ; Haoyan DENG ; Jinwei HU ; Zhongming CHEN ; Dongping MA ; Kui SUN ; Hongwei GUO
Chinese Journal of Hospital Administration 2025;41(2):96-103
Objective:To understand the development status of maternal and child health care institutions in China from 2012 to 2022, identify the challenges they face, and provide references for further promoting the high-quality development of these institutions.Methods:Data from the China Health Statistics Yearbook (2013—2015), China Health and Family Planning Statistics Yearbook (2016—2017), and China Health and Wellness Statistics Yearbook (2018—2023) were used. Descriptive analysis was conducted on the data related to resource allocation and utilization efficiency, service provision, income and expenditure structure, and operational status of maternal and child health care institutions in China from 2012 to 2022, using methods such as fixed-base growth rate, year-on-year growth rate, and average annual growth rate. Results:From 2012 to 2022, the number of maternal and child health care institutions in China decreased from 3 044 to 3 031. In terms of resource allocation, the average annual growth rates of bed numbers and business-use floor area were 5.404% and 10.923%, respectively, while the average annual growth rate of health professionals was 7.183%. Regarding service provision, the average annual growth rates of outpatient visits and inpatient admissions were 3.954% and 1.572%, respectively. In terms of service efficiency, the bed occupancy rate decreased from 76.9% to 53.9%, and the average number of patients seen per physician per day decreased from 8.85 to 7.30. In terms of income and expenditure and operations, the income-expenditure surplus rate decreased from 9.16% to 5.41%, and the debt-to-asset ratio increased from 27.88% to 33.60%. During the same period, the average annual growth rates of bed numbers and business-use floor area in grassroots maternal and child health care institutions were 4.545% and 10.091%, respectively, lower than the national average. The number of outpatient visits increased from 89.03 million to 126.93 million, with an average annual growth rate of 3.610%, while the number of inpatient admissions decreased from 4.19 million to 3.91 million, with an average annual decline of 0.689%. The income-expenditure surplus rate of grassroots institutions decreased from 7.76% to 4.05%, 1.36 percentage points lower than the national level, and the debt-to-asset ratio increased from 27.53% to 36.37%, higher than the overall level.Conclusions:From 2012 to 2022, maternal and child health care institutions in China achieved certain developments in resource allocation and service scale. However, several challenges remain, including unbalanced resource allocation, decreased utilization efficiency, slowed growth in medical service volume, imbalanced income and expenditure structure, increased asset operation risks, and restricted development of grassroots institutions. It is recommended that relevant management departments and maternal and child health care institutions optimize resource allocation, plan for service transformation and upgrading, expand income sources, strengthen internal financial control, and reinforce the construction of high-quality and efficient maternal and child health care systems to promote the high-quality development of maternal and child health care institutions in China.
6.Current status and influencing factors of oral frailty in elderly diabetic patients
Xiaohui SHANG ; Yifei DU ; Baoli WEN ; Qiming JIA ; Yan ZHENG ; Yu'na HU ; Liming LI
Chinese Journal of Modern Nursing 2025;31(14):1925-1930
Objective:To understand the current status of oral frailty in elderly diabetic patients and analyze its influencing factors.Methods:A convenience sampling method was used to select elderly diabetic patients hospitalized at Henan Cancer Hospital and Henan Provincial People's Hospital from October 2023 to May 2024. The general information questionnaire, Oral Frailty Index-8 (OFI-8) , Short Form of Health Literacy Dental Scale (HeLD-14) , Nutritional Risk Screening 2002 (NRS 2002) , and the Diabetes Distress Scale (DDS) were used to collect data. Binary Logistic regression analysis was used to examine the influencing factors of oral frailty in elderly diabetic patients.Results:A total of 235 questionnaires were distributed, and 220 valid questionnaires were returned, with an effective response rate of 93.62% (220/235) . The incidence of oral frailty in elderly diabetic patients was 46.82% (103/220) . The binary Logistic regression analysis showed that glycated hemoglobin, dry mouth, remaining teeth, nutritional risk, oral health literacy, and diabetes distress were significant influencing factors for the occurrence of oral frailty in elderly diabetic patients ( P<0.05) . Conclusions:The current status of oral frailty in elderly diabetic patients is concerning. Healthcare providers should pay attention to the oral health status of elderly diabetic patients and provide targeted nursing interventions and recommendations based on the influencing factors of oral frailty, in order to reduce its occurrence.
7.Predictive Analysis of Quality Markers of Gastrodia elata Bl.Based on Fingerprint,Chemical Pattern Recognition and Network Pharmacology
Jingmin HAI ; Qi TAO ; Zhigang HU ; Yifei LIU ; Liuling PEI
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(1):1-13
Objective To predict potential quality markers(Q-Markers)of Gastrodia elata using fingerprinting,chemical pattern recognition and network pharmacology methods.Methods A total of 46 batches of Gastrodia elata were analyzed using high-performance liquid chromatography(HPLC)to establish fingerprint profiles,and common peaks were identified.Systematic cluster analysis(HCA),principal component analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA)were employed to evaluate the 46 batches of samples.Additionally,The network diagram of"components-targets-pathways"was constructed using network pharmacology.Q-Marker of Gastrodia elata was predicted and quantitative analysis was conducted simultaneously.Results Seven substances were identified among the 13 common peaks in the fingerprint profiles.Results from HCA,PCA,and OPLS-DA were consistent,while network pharmacology identified 17 core active ingredients,86 core targets,and 181 key pathways.Integrating fingerprinting and network pharmacology,Gastrodin,p-hydroxybenzyl alcohol,parishin A,parishin B,parishin C,and parishin E were selected as potential Q-Markers of Gastrodia elata.The total contents of GAS and HBA alcohol in 46 batches of Gastrodia gastrodia decoction pieces ranged from 0.17%to 2.08%.Conclusion Integration of fingerprinting and network pharmacology analyses predicted potential Q-Markers of Gastrodia elata,and providing a scientific basis for comprehensive quality control and evaluation.
8.De Novo Assembly and Phylogenetic Study of Chloroplast Genomes of Five Species of Genus Polygonatum
Wei LI ; Mingyu ZHU ; Yuling ZENG ; Xuan WEN ; Chutong HUANG ; Xinyue FA ; Lin SEN ; Zhigang HU ; Yifei LIU
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(1):36-55
Objective Five chloroplast(cp)genomes from members of genus Polygonatum were assembled by hybrid assembly technique,and their intraspecic and interspecific differences were analyzed by comparative genomic method.Codon usage patterns and influencing factors were determined,and the cp genome data were applied to understand the phylogenomic relationships in the entire genus Polygonatum along with the available data.Methods In this study,the chloroplast genomes of 5 species of genus Polygonatum were assembled using Unicycler software.Sequence alignment,collinearity analysis,boundary analysis and other methods were used to evaluate the interspecific differences of these five species.Nucleotide polymorphism analysis was used to discover the high-variation sites of the five species and their related species,predict the distribution of different long repeat sequences and SSRs,and then analyze the use bias of Polygonatum code.Finally,phylogenetic tree was constructed with the coding sequences of other 47 genus Polygonatum and their closely related species to explore their phylogenetic relationships in this study.Results ①Chloroplast genomes of 155 408-155 623 bp were assembled from five species of Polygonatum.A total of 132-133 genes were annotated,and 369 long repeats and 1553 simple repeats were detected.②The contraction and expansion of chloroplast genomes in 8 species were not obvious at the IRs boundary,and the size and distribution of individual genes at the LSC-IRs-SSC boundary,such as ndhF gene and ycf1 gene,were slightly different.No interspecific or intraspecific rearrangement was observed in 8 species.③ The high-variation regions of the 8 chloroplast genomes are mainly located in two single-copy regions,the duplicate copy region is relatively conserved,and the coding region is more conserved than the non-coding region.High nucleotide polymorphic loci rps16-trnQ,trnS-trnG,trnTUGU-trnL,ndhF-rpl32 and rpl32-trnL are located in the single copy region and most of them are gene spacer regions.④ The codon preference results showed that the codon preference of the five species was similar and mainly affected by selection pressure,and the third base of the codon played A dominant role and mainly ended in A/U.RSCU clustering heat map shows that PK and PZ,PCB and PS have close relationship.⑤ Phylogenetic trees divided 52 species into five branches:Ⅰ,Ⅱ,Ⅲ,ⅣandⅤ.PS,PK,PCB,PCZ and PZ were divided into ⅣandⅤbranches,among which PK and PZ were most closely related,while PCZ was more distant than the other four,was divided into the Ⅴbranch alone.Conclusion This study provided a reference for the phylogenetic research and molecular marker development of the medicinal plants of the Polygonum genus.
9.Cloning and Prokaryotic Expression of Three Flavonoid Glycoside Synthesizing UGT Genes of Chrysanthemum indicum.L
Zhiwei QIN ; Jiahao LIAO ; Jingjing ZHANG ; Yifei LIU ; Zhigang HU ; Jingjing LIU
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(1):56-64
Objective The three UGT genes involved in the synthesis of flavonoid glycosides in the wild chrysanthemum were cloned,fused and expressed in prokaryotic system,which provided a basis for further study of the functions of these genes in the synthesis of flavonoid compounds.Methods three candidate UDP-glycosyltransferase(UGT)family genes were successfully cloned from flower tissue cDNA of diploid Chrysanthemum indicum.L in Hubei,namely:CiUGT1(1425 bp),CiUGT2(1311 bp)and CiUGT3(1314 bp)encoded opal fraction of 51.72,48.08 and 48.28 kDa,respectively.After the physical and chemical properties of the protein were analyzed,the recombinant plasmid was constructed by seamless Klon technology,and the recombinant proteins of CiUGT2 and CiUGT3 were successfully expressed in Escherichia coli.Results SDS-PAGE analysis showed that the purified CiUGT2 and CiUGT3 protein samples were about 0.2 mg/mL and 1.4 mg/mL,respectively.Conclusion Two candidate UGTs were obtained to catalyze the synthesis of flavonoid 7-O-glucosides in Chrysanthemum indicum.L,which provide the theoretical basis for the molecular mechanism of flavonoid glycosides biosynthesis in the capitulum of Chrysanthemum indicum.L.
10.Ecological Suitability Analysis and Future Potential Habitat Layout Prediction for Chrysanthemum indicum Complex
Haiqiong ZHANG ; Mingyu ZHU ; Yujie CHI ; Yifei LIU ; Zhigang HU ; Jingjing ZHANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(1):75-83
Objective To provide scientific basis for layout planning and standardized cultivation the species of Chrysanthemum indicum complex in future periods,the potential ecological suitable areas was analyzed,.Methods By collecting distribution data of 1379 valid C.indicum complex species nationwide and 104 ecological factors,combined with MaxEnt model and ArcGIS software,the potential ecological distribution areas of C.indicum complex under 17 different climate scenarios was analyzed.Results Precipitation and solar radiation are key environmental variables affecting the suitable habitats of C.indicum complex.The most suitable regions for the growth of C.indicum complex was concentrated in Hubei(C.indicum L.),Shanxi(C.lavandulifolium),Jiangsu(C.nankingense),and Hubei(C.indicum var.aromaticum)regions.Under different scenarios,the suitable habitat area for C.indicum L.and C.lavandulifolium showed an overall decreasing trend,while those for C.indicum var.aromaticum and C.nankingense showed an expanding trend.The centroid shift indicates sensitivity of C.indicum complex to climate change.Conclusion The potential distribution areas of C.indicum complex is classified into ecological suitability levels,providing important reference for the sustainable use,introduction cultivation,and scientific zoning of related resources.

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