1.Effects of iodine supplementation during pregnancy on maternal and offspring health: a review
LI Yahui ; WANG Xiaofeng ; MO Zhe ; LOU Xiaoming
Journal of Preventive Medicine 2023;35(11):953-956
Iodine is an essential nutrient required for thyroid hormone synthesis and human growth and development. Iodine requirements increase substantially during pregnancy, and insufficient iodine intake may affect the health of pregnant women, and fetal growth and development. Iodized salt-based iodine supplementation is effective to improve maternal iodine levels, reduce risk of thyroid dysfunctions, and plays a vital role in improvements of offspring growth and development and prevention of intellectual disability. However, excessive iodine supplementation during pregnancy may affect maternal thyroid functions and the nerve development of offspring. Precise and personalized iodine supplementation schemes are therefore required tailored to local iodine deficiency degree and pregnant women's individual iodine status. This review summarizes the advances in the impact of iodine supplementation during pregnancy on maternal and offspring health, so as to provide insights into the guidance of iodine supplementation during pregnancy.
2.Analysis of iodine nutritional status of children aged 8-10 years in Zhejiang Province from 2016 to 2021
Guangming MAO ; Zhe MO ; Simeng GU ; Yuanyang WANG ; Yujie JIANG ; Yahui LI ; Xueqing LI ; Zhijian CHEN ; Xiaofeng WANG ; Xiaoming LOU ; Chenyang LIU
Chinese Journal of Preventive Medicine 2024;58(1):11-17
Objective:To analyze the iodine nutrition status of children aged 8 to 10 years in Zhejiang Province from 2016 to 2021.Methods:A multi-stage stratified sampling method was used to select non-residential children aged 8 to 10 years from 90 counties in Zhejiang Province. A total of 114 103 children were included in the study from 2016 to 2021. Direct titration method and arsenic-cerium catalytic spectrophotometry were used to detect salt iodine content and urinary iodine level, respectively, to evaluate the iodine nutritional status of children. Ultrasound was used to detect thyroid volume and analyze the current prevalence of goiter in school-age children.Results:The age of 114 103 children was (9.04 ± 0.81) years old, with 50.0% of (57 083) boys. The median of iodine content M ( Q1, Q3) in children's household salt was 23.00 (19.80, 25.20) mg/kg, including 17 242 non-iodized salt, 6 173 unqualified iodized salt, and 90 688 qualified iodized salt. The coverage rate of iodized salt was 84.89%, and the coverage rate of qualified iodized salt was 79.48%. The proportion of non-iodized salt increased from 11.85% in 2016 to 16.04% in 2021 ( χ 2trend=111.427, P<0.001). The median of urinary iodine concentration M ( Q1, Q3) in children was 182.50 (121.00, 261.00) μg/L, among which the proportions of iodine deficiency, iodine suitability, iodine over suitability, and iodine excess were 17.25% (19 686 cases), 39.21% (44 745 cases), 26.85% (30 638 cases), and 16.68% (19 034 cases), respectively. The median of urinary iodine concentration in children in inland areas [ M ( Q1, Q3): 190.90 (128.80, 269.00) μg/L] was significantly higher than that in children in coastal areas [ M ( Q1, Q3): 173.00 (113.00, 250.30) μg/L] ( P<0.001). From 2016 to 2021, a total of 39 134 ultrasound examinations were conducted, and 1 229 cases of thyroid enlargement were detected. The goiter rate was 3.14% (95% CI: 2.97%-3.32%). The incidence of goiter in children in coastal areas [3.45% (95% CI: 3.19%-3.72%), 641/18 604] was higher than that in children in inland areas [2.86% (95% CI: 2.64%-3.10%), 588/20 530] ( P=0.001). Conclusion:From 2016 to 2021, the iodine nutrition level of children aged 8-10 years in Zhejiang Province is generally suitable, and the rate of goiter in children meets the limit of iodine deficiency disease elimination standards.
3.Model informed precision medicine of Chinese herbal medicines formulas-A multi-scale mechanistic intelligent model
Qian YUANYUAN ; Wang XITING ; Cai LULU ; Han JIANGXUE ; Huang ZHU ; Lou YAHUI ; Zhang BINGYUE ; Wang YANJIE ; Sun XIAONING ; Zhang YAN ; Zhu AISONG
Journal of Pharmaceutical Analysis 2024;14(4):585-600
Recent trends suggest that Chinese herbal medicine formulas(CHM formulas)are promising treatments for complex diseases.To characterize the precise syndromes,precise diseases and precise targets of the precise targets between complex diseases and CHM formulas,we developed an artificial intelligence-based quantitative predictive algorithm(DeepTCM).DeepTCM has gone through multilevel model cali-bration and validation against a comprehensive set of herb and disease data so that it accurately captures the complex cellular signaling,molecular and theoretical levels of traditional Chinese medicine(TCM).As an example,our model simulated the optimal CHM formulas for the treatment of coronary heart disease(CHD)with depression,and through model sensitivity analysis,we calculated the balanced scoring of the formulas.Furthermore,we constructed a biological knowledge graph representing interactions by associating herb-target and gene-disease interactions.Finally,we experimentally confirmed the thera-peutic effect and pharmacological mechanism of a novel model-predicted intervention in humans and mice.This novel multiscale model opened up a new avenue to combine"disease syndrome"and"macro micro"system modeling to facilitate translational research in CHM formulas.