| Project/Area Number |
22K11030
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 58070:Lifelong developmental nursing-related
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| Research Institution | Kochi University |
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Principal Investigator |
JP NawAwn 高知大学, 医学部, 特任助教 (00835093)
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| Co-Investigator(Kenkyū-buntansha) |
滿田 直美 高知大学, 医学部, 特任助教 (30611389)
菅沼 成文 高知大学, 教育研究部医療学系連携医学部門, 教授 (50313747)
栄徳 勝光 高知大学, 教育研究部医療学系連携医学部門, 講師 (50552733)
山崎 慶子 高知大学, 医学部, 特任研究員 (90930446)
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Project Status |
Granted (Fiscal Year 2022)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2024: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2023: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2022: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | chest circumference / head circumference / NAFLD / fetal growth restriction / metabolic syndrome |
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| Outline of Research at the Start |
During intrauterine life, placental insufficiency will cause differential redistribution of fetal cardiac output in favour of the developing brain. The affected fetus will become small overall, but size reduction can be more marked in the body than the head. Thus, the relative size of the chest and head at birth (chest/head circumference ratio) could provide retrospective information of intrauterine growth. We designed this longitudinal birth cohort study to examine how chest/head circumference ratio at birth and catch-up growth during infancy is associated with NAFLD in 8-year-old children.
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| Outline of Annual Research Achievements |
During the fiscal year, our primary focus was on the recruitment of study participants. Our initial target was to recruit 2500 children; however, due to the outbreak of COVID-19, we were only able to recruit 2190 children, which represents 87.6% of our intended sample size.
We successfully collected comprehensive health information from the recruited children, allowing us to gain valuable insights into their overall physical growth and health status. Measurement of height, weight, waist circumference, body fat composition, and blood pressure were taken, providing important data on their physical development.
Blood samples were also collected from the participants to analyze a range of biomarkers. Specifically, we measured serum levels of liver enzymes alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl transferase (GGT). These enzymes play a crucial role in assessing liver function and can help detect any potential liver disorders, particularly childhood non-alcoholic fatty liver disease (NAFLD). In addition to liver enzymes, we analyzed lipids (triglycerides, total cholesterol, HDL cholesterol, LDL cholesterol), HbA1c, adiponectin, uric acid, creatinine, and hs-CRP as these markers offer valuable information related to metabolic health and provide insights into the risk of developing cardio-metabolic disorders.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Despite the challenges posed by the COVID-19 outbreak, we recruited 2190 children for our study, representing 87.6% of our initial target (2500 children). In addition, we successfully collected vital health information, including anthropometric measurements and blood samples, to assess various health markers such as liver enzymes, lipids, HbA1c, adiponectin, uric acid, creatinine, and hs-CRP.
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| Strategy for Future Research Activity |
Moving forward, our research will encompass further analyses of the biomarkers collected during the first fiscal year of this project (8-year follow up study). Additionally, we will establish connections between the information obtained at this particular project and the health data gathered during the stages of pregnancy through infancy. By merging these datasets, we will be able to comprehensively assess the health status of the children, identify potential risk factors spanning from pregnancy to infancy, and enhance our understanding of child liver health and disease prevention strategies.
Integrating the information collected during pregnancy and infancy with the data obtained at the 8-year follow-up presents a unique opportunity to explore the long-term effects and developmental trajectories of liver and cardio-metabolic health in children. Specifically, we will examine the relationships between anthropometric data collected during these different stages and analyze how they correlate with liver health outcomes in later childhood.
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