1.Analysis and forecast of the disease burden of schistosomiasis in China from 1992 to 2030
Kai LIN ; Chenhuan ZHANG ; Zhendong XU ; Xuemei LI ; Renzhan HUANG ; Yawen LIU ; Haihang YU ; Lisi GU
Chinese Journal of Schistosomiasis Control 2025;37(1):24-34
Objective To analyze the trends in the disease burden of schistosomiasis in China from 1992 to 2021, and to project the disease burden of schistosomiasis in China from 2022 to 2030, so as to provide insights into the elimination of schistosomiasis in China. Methods The prevalence, age-standardized prevalence, disability-adjusted life year (DALYs) rate and age-standardized DALYs rate of schistosomiasis, as well as the years lost due to disability (YLDs) rate and age-standardized YLDs rate of anemia attributable to Schistosoma infections in China, the world and different socio-demographic index (SDI) regions were captured from the Global Burden of Disease Study 2021 (GBD 2021) data resources, and the trends in the disease burden due to schistosomiasis were evaluated with estimated annual percentage change (EAPC) and its 95% confidence interval (CI). In addition, the age, period and cohort effects on the prevalence of schistosomiasis were examined in China using an age-period-cohort (APC) model, and the disease burden of schistosomiasis was predicted in China from 2022 to 2030 using a Bayesian age-period-cohort (BAPC) model. Results The age-standardized prevalence and DALYs rate of schistosomiasis, and the age-standardized YLDs rate of anemia attributable to Schistosoma infections were 761.32/105, 5.55/105 and 0.38/105 in China in 2021. These rates were all lower than the global levels (1 914.30/105, 21.90/105 and 3.36/105, respectively), as well as those in the medium SDI regions (1 413.61/105, 12.10/105 and 1.93/105, respectively), low-medium SDI regions (2 461.03/105, 26.81/105 and 4.48/105, respectively), and low SDI regions (5 832.77/105, 94.48/105 and 10.65/105, respectively), but higher than those in the high SDI regions (59.47/105, 0.49/105 and 0.05/105, respectively) and high-medium SDI regions (123.11/105, 1.20/105 and 0.12/105, respectively). The prevalence and DALYs rate of schistosomiasis were higher among men (820.79/105 and 5.86/105, respectively) than among women (697.96/105 and 5.23/105, respectively) in China in 2021, while the YLDs rate of anemia attributable to Schistosoma infections was higher among women (0.66/105) than among men (0.12/105). The prevalence of schistosomiasis peaked at ages of 30 to 34 years among both men and women, while the DALYs rate of schistosomiasis peaked among men at ages of 15 to 19 years and among women at ages of 20 to 24 years. The age-standardized prevalence of schistosomiasis showed a moderate decline in China from 1992 to 2021 relative to different SDI regions [EAPC = -1.51%, 95% CI: (-1.65%, -1.38%)], while the age-standardized DALYs rate [EAPC = -3.61%, 95% CI: (-3.90%, -3.33%)] and age-standardized YLDs rate of anemia attributable to Schistosoma infections [EAPC = -4.16%, 95% CI: (-4.38%, -3.94%)] appeared the fastest decline in China from1992 to 2021 relative to different SDI regions. APC modeling showed age, period, and cohort effects on the trends in the prevalence of schistosomiasis in China from 1992 to 2021, and the prevalence of schistosomiasis appeared a rise followed by decline with age, and reduced with period and cohort. BAPC modeling revealed that the age-standardized prevalence and age-standardized DALYs rate of schistosomiasis, and age-standardized YLDs rate of anemia attributable to Schistosoma infections all appeared a tendency towards a decline in China from 2022 to 2030, which reduced to 722.72/105 [95% CI: (538.74/105, 906.68/105)], 5.19/105 [95% CI: (3.54/105, 6.84/105)] and 0.30/105 [95% CI: (0.21/105, 0.39/105)] in 2030, respectively. Conclusions The disease burden of schistosomiasis appeared a tendency towards a decline in China from 1992 to 2021, and is projected to appear a tendency towards a decline from 2022 to 2030. There are age, period and cohort effects on the prevalence of schistosomiasis in China. Precision schistosomiasis control is required with adaptations to current prevalence and elimination needs.
2.Impact of peripheral blood inflammatory markers on neovascular glaucoma secondary to diabetic retinopathy
Mingfang WANG ; Wenwen ZHU ; Deyu XIA ; Dengrui XU ; Yawen SHI ; Hongchen FU ; Qian ZHAO ; Xiuyun LI
International Eye Science 2025;25(6):1005-1008
AIM: To investigate the influence of relevant inflammatory markers in peripheral blood on the progression of neovascular glaucoma(NVG)secondary to diabetic retinopathy(DR)patients.METHODS: Retrospective case-control study. Patients were categorized into two groups based on the presence or absence of NVG: those with proliferative diabetic retinopathy(PDR)alone(PDR group, n=148)and those with NVG secondary to PDR(NVG secondary to PDR group, n=142). Peripheral blood inflammatory markers were evaluated, including white blood cell-related indices, neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR), monocyte-to-lymphocyte ratio(MLR), and systemic immune-inflammation index(SII). The distinctions in peripheral blood inflammatory markers between the two groups of patients and their relationships with NVG secondary to PDR were analyzed.RESULTS:No statistically significant differences were observed in basic characteristics between the two groups, confirming their comparability. However, significant differences were found in eosinophil percentage and MLR between the PDR group and the NVG secondary to PDR group(all P<0.05), with both values being significantly higher in the NVG secondary to PDR group. Multivariate Logistic regression analysis revealed that the eosinophil percentage and the MLR were factors influencing the development of patients with NVG secondary to PDR.CONCLUSION: Eosinophil percentage and MLR may be associated with the progression of PDR to NVG, and could serve as potential predictive markers for NVG development in PDR patients.
3.Hyperopia reserve among 6‒8-year-old primary school students in Jing’an District, Shanghai
Limeng WANG ; Wenyan XU ; Xiangdong WANG ; Yawen GUO ; Zhou ZHOU ; Xiangui HE
Shanghai Journal of Preventive Medicine 2025;37(5):458-460
ObjectiveTo understand the uncorrected visual acuity, spherical equivalent and hyperopia reserve of 6‒8-year-old primary school students in Jing’an District of Shanghai, and to provide a scientific basis for further myopia prevention and control. MethodsA total of 619 children aged between 6‒8 years old from three primary schools in Jing’an District were selected by cluster sampling method for uncorrected eye visual acuity examination and diopter examination after cycloplegia (mydriasis). ResultsThe mean uncorrected visual acuity of the619 students aged 6‒8 years old was (4.9±0.2), and the mean spherical equivalent was (0.84±1.11) D. The difference in uncorrected visual acuity was not statistically significant as the age increased (F=0.057, P=0.812), but the spherical equivalent decreased with the increase of age, showing a statistically significant difference (F=26.533, P
4.Regional adipose distribution and metabolically unhealthy phenotype in Chinese adults: evidence from China National Health Survey.
Binbin LIN ; Yaoda HU ; Huijing HE ; Xingming CHEN ; Qiong OU ; Yawen LIU ; Tan XU ; Ji TU ; Ang LI ; Qihang LIU ; Tianshu XI ; Zhiming LU ; Weihao WANG ; Haibo HUANG ; Da XU ; Zhili CHEN ; Zichao WANG ; Guangliang SHAN
Environmental Health and Preventive Medicine 2025;30():5-5
BACKGROUND:
The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories.
METHODS:
This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex.
RESULTS:
In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight.
CONCLUSIONS
Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult
;
Aged
;
Female
;
Humans
;
Male
;
Middle Aged
;
Young Adult
;
Adipose Tissue
;
Body Fat Distribution
;
Body Mass Index
;
China/epidemiology*
;
Cross-Sectional Studies
;
Health Surveys
;
Phenotype
5.Zona Incerta: A Bridge for Infant-Mother Interaction.
Yawen HUANG ; Jun WANG ; Na LIU ; Han XU
Neuroscience Bulletin 2025;41(5):921-924
6.Qishen Granule protects against myocardial ischemia by promoting angiogenesis through BMP2-Dll4-Notch1 pathway.
Yiqin HONG ; Hui WANG ; Hanyan XIE ; Xinyi ZHONG ; Xu CHEN ; Lishuang YU ; Yawen ZHANG ; Jingmei ZHANG ; Qiyan WANG ; Binghua TANG ; Linghui LU ; Dongqing GUO
Chinese Herbal Medicines 2025;17(1):139-147
OBJECTIVE:
Therapeutic angiogenesis has become a promising approach for treating ischemic heart disease (IHD). The present study aims to investigate the effects of Qishen Granule (QSG) on angiogenesis in myocardial ischemia (MI) and the potential mechanism.
METHODS:
In vivo study was conducted on rat model of myocardial infarction. QSG was performed daily at a dose of 2.352 g/kg for four weeks. Cardiac function was assessed by echocardiogram and pro-angiogenic effects were evaluated by Laser Doppler and CD31 expression. Oxygen-glucose deprivation (OGD) was applied in cultured human umbilical vein endothelial cells (HUVECs). Cell viability, wound healing and tube formation assay were used to test functions of HUVECs. ELISA and Western blots were used to assess protein expressions of bone morphogenetic protein 2-delta-like 4-notch homolog 1 (BMP2-Dll4-Notch1) signaling pathway.
RESULTS:
The results showed that QSG improved heart function, cardiac blood flow and microvessel density in myocardial ischemic rats. In vitro, QSG protected HUVECs by promoting the cell viability and tube formation. QSG upregulated bone morphogenetic protein-2 (BMP2) and downregulated delta-like 4 (Dll4) and notch homolog 1 (Notch1) expressions both in rats and HUVECs.
CONCLUSION
QSG protected against MI by promoting angiogenesis through BMP2-Dll4-Notch1 pathway. BMP2 might be a promising therapeutic target for IHD.
7.Discovery of E0199: A novel compound targeting both peripheral NaV and KV7 channels to alleviate neuropathic pain.
Boxuan ZHANG ; Xiaoxing SHI ; Xingang LIU ; Yan LIU ; Xuedong LI ; Qi WANG ; Dongyang HUANG ; Weidong ZHAO ; Junru CUI ; Yawen CAO ; Xu CHAI ; Jiahao WANG ; Yang ZHANG ; Xiangyu WANG ; Qingzhong JIA
Journal of Pharmaceutical Analysis 2025;15(1):101132-101132
This research study focuses on addressing the limitations of current neuropathic pain (NP) treatments by developing a novel dual-target modulator, E0199, targeting both NaV1.7, NaV1.8, and NaV1.9 and KV7 channels, a crucial regulator in controlling NP symptoms. The objective of the study was to synthesize a compound capable of modulating these channels to alleviate NP. Through an experimental design involving both in vitro and in vivo methods, E0199 was tested for its efficacy on ion channels and its therapeutic potential in a chronic constriction injury (CCI) mouse model. The results demonstrated that E0199 significantly inhibited NaV1.7, NaV1.8, and NaV1.9 channels with a particularly low half maximal inhibitory concentration (IC50) for NaV1.9 by promoting sodium channel inactivation, and also effectively increased KV7.2/7.3, KV7.2, and KV7.5 channels, excluding KV7.1 by promoting potassium channel activation. This dual action significantly reduced the excitability of dorsal root ganglion neurons and alleviated pain hypersensitivity in mice at low doses, indicating a potent analgesic effect without affecting heart and skeletal muscle ion channels critically. The safety of E0199 was supported by neurobehavioral evaluations. Conclusively, E0199 represents a ground-breaking approach in NP treatment, showcasing the potential of dual-target small-molecule compounds in providing a more effective and safe therapeutic option for NP. This study introduces a promising direction for the future development of NP therapeutics.
8.Single-cell transcriptomic sequencing coupled with Mendelian randomization analysis elucidates the pivotal role of CTSC in chronic rhinosinusitis
Shican ZHOU ; Ju LAI ; Kai FAN ; Jingwen LI ; Xiayue XU ; Chunyan YAO ; Bojin LONG ; Chuanliang ZHAO ; Na CHE ; Yawen GAO ; Shaoqing YU
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2024;59(6):551-559
Objective:To investigate the molecular mechanisms of chronic rhinosinusitis (CRS), to identify key cell subgroups and genes, to construct effective diagnostic models, and to screen for potential therapeutic drugs.Methods:Key cell subgroups in CRS were identified through single-cell transcriptomic sequencing data. Essential genes associated with CRS were selected and diagnostic models were constructed by hdWGCNA (high dimensional weighted gene co-expression network analysis) and various machine learning algorithms. Causal inference analysis was performed using Mendelian randomization and colocalization analysis. Potential therapeutic drugs were identified using molecular docking technology, and the results of bioinformatics analysis were validated by immunofluorescence staining. Graphpad Prism, R, Python, and Adobe Illustrator software were used for data and image processing.Results:An increased proportion of basal and suprabasal cells was observed in CRS, especially in eosinophilic CRS with nasal polyps (ECRSwNP), with P=0.001. hdWGCNA revealed that the "yellow module" was closely related to basal and suprabasal cells in CRS. Univariate logistic regression and LASSO algorithm selected 13 key genes ( CTSC, LAMB3, CYP2S1, TRPV4, ARHGAP21, PTHLH, CDH26, MRPS6, TENM4, FAM110C, NCKAP5, SAMD3, and PTCHD4). Based on these 13 genes, an effective CRS diagnostic model was developed using various machine learning algorithms (AUC=0.958). Mendelian randomization analysis indicated a causal relationship between CTSC and CRS (inverse variance weighted: OR=1.06, P=0.006), and colocalization analysis confirmed shared genetic variants between CTSC and CRS (PPH4/PPH3>2). Molecular docking results showed that acetaminophen binded well with CTSC (binding energy:-5.638 kcal/mol). Immunofluorescence staining experiments indicated an increase in CTSC +cells in CRS. Conclusion:This study integrates various bioinformatics methods to identify key cell types and genes in CRS, constructs an effective diagnostic model, underscores the critical role of the CTSC gene in CRS pathogenesis, and provides new targets for the treatment of CRS.
9.An empirical study on the effect of influenza vaccination on the prevention of school absence among primary and secondary school students
LI Wu, LIU Lanlan, TAN Huiling, JIANG Yawen, CHEN Wanyi, ZHUANG Chunyan, XIE Yuanna, XIE Xu, LI Gang
Chinese Journal of School Health 2024;45(12):1775-1779
Objective:
To evaluate the preventive effect of implementing the free influenza vaccination policy on school absence among primary and secondary school students, so as to provide a reference for formulating and adjusting vaccination strategies.
Methods:
Among primary and secondary school students aged 6 to 18 in Longgang District, Shenzhen, they were divided into a vaccinated group (265 996 students) and an unvaccinated group (122 513 students) according to their influenza vaccination history during November 2023. Propensity score matching was used to conduct a 1∶1 match between the two groups to balance covariates. The number of absences per month was set as the dependent variable to construct a difference in differences model, and Poisson regression was employed to analyze the overall and multi time point effects.
Results:
Vaccination against influenza was associated with low rate of absenteeism among primary and secondary school students, with an overall preventive effect of 26.52% (95% CI = 23.47% -29.45%). The preventive effects in November (the month of vaccination) and December 2023, January and March 2024 were 42.12%, 40.12%, 30.33% and 20.91%, respectively. The preventive effect of the influenza vaccine on absenteeism among primary school students (26.39%) was not significantly different from that among secondary school students ( 27.97% ) ( P >0.05). The regression coefficient for class vaccination rates ranged from 0.998 to 0.999 ( P <0.01), indicating that for every 10% increase in influenza vaccination rates, absenteeism could be reduced by 1.5% to 2.2%.
Conclusion
Implementing free influenza vaccination for primary and secondary school students might help to reduce the risk of absenteeism, yielding significant socioeconomic benefits.
10.Construction and Validation of the Prediction Model for the First Cesarean Section Delivery in Multiparas
Xiaopeng XU ; Yawen ZHANG ; Minhong SHEN ; Qin HUANG
Journal of Practical Obstetrics and Gynecology 2024;40(8):657-663
Objective:To establish a predictive model of the first cesarean delivery in multiparous women based on the situation of two consecutive pregnancies.Methods:The data of patients with two consecutive deliv-eries of single live birth and the previous delivery was vaginal delivery in the First Affiliated Hospital of Soochow U-niversity during the second delivery time range from January 1,2018 to December 31,2021 were retrospectively analyzed.According to whether the second pregnancy occurred cesarean section,the patients were divided into two groups(vaginal delivery group and cesarean section group).Univariate,stepwise,and multiple Logistic re-gression analyses were used to screen the influencing factors of multipara's first cesarean section delivery,and the prediction model was established.R language was used to build the model's nomogram and calibration curve.The bootstrap resampling method was used for internal verification.After establishing the model,clinical data of patients with two consecutive births of single live birth between January 1,2022 and April 1,2023 were retrospec-tively collected for external verification of the model.Results:①A total of 2709 patients were included in this study for modeling,of which 6.31%(171/2709)underwent cesarean section for the first time.603 cases were included for external verification.②According to univariate,stepwise and multivariate Logistic regression analysis,all the variables affecting the first delivery by cesarean section were screened out,including:abnormal labor in previous labor,age of current delivery,assisted reproductive technology,hypertension disorder complicating pregnancy,pregnancy with thrombocytopenia,oligohydramnios,excessive amniotic fluid,macrosomia,fetal growth restriction,abnormal fetal position,fetal distress,all of the above variables P<0.05 and incorporated into the final prediction model.③The AUC of this model was 0.949(95%CI 0.928-0.969),and the calibration curve showed that the model intercept was 0 and the slope was 1.Hosmer-Lemeshow test had a P>0.05,indicating that the model had a high accuracy.④The AUC of external validation was 0.958,the slope of the calibration curve was 0.972,and the Hosmer-Lemeshow test had a P of 0.49.Conclusions:The prediction model of the first delivery by cesarean section during the second pregnancy has been established.The prediction efficiency of the model is good,and it can provide a tool for the individualized evaluation of menstrual women in clinical work.


Result Analysis
Print
Save
E-mail