Clinical nutrition (Edinburgh, Scotland) · 2023
Cystic fibrosis related bone disease in children: Can it be predicted?
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Nayir Buyuksahin Halime, Dogru Deniz, Gözmen Onur, Ozon Alev, Portakal Oytun, Emiralioglu Nagehan, Haliloglu Mithat, Kılıc Kübra, Vardar Yaglı Naciye, Yıldırım Damla, Dag Osman, Guzelkas Ismail, Yalcın Ebru, Ozcelik Ugur, Kiper Nural
Аннотация
BACKGROUND&AIMS: Cystic fibrosis (CF) -related bone disease (CFBD) is an important complication of CF, and low BMD in childhood is a precursor of CFBD. Here, we aimed to investigate bone turnover biomarkers, including osteocalcin (OC), receptor activator of nuclear factor kappa B ligand (RANKL) and osteoprotegerin (OPG) in relation to low BMD in children with CF (cwCF). We also evaluated factors which could affect bone turnover with particular emphasis on fat-free mass (FFM), forced expiratory volume in 1 s (FEV1), hand grip strength (HGS), and functional capacity and physical activity.
METHODS: Sixteen cwCF aged 8-18 years with moderate low BMD (group1) and 64 cwCF with normal BMD (group2) were enrolled. Serum RANKL, OC, and OPG were determined by immunoenzymatic assays. Multiple parameters including pancreatic status, lung functions, body mass index (BMI), FFM measured by bioelectric impedance analysis (BIA), 6-minute walk test, vitamin D, nutritional intake, HGS, functional capacity and physical activity, serum and urine biomarkers were compared between the two groups.
RESULTS: We found similar serum levels of RANKL (p = 0.501), OC (p = 0.445), OPG (p = 0.380), and RANKL/OPG ratio (p = 0.449) between group1 and group2 in cwCF. BMI z-score (p < 0.001), FFMI z-score (p < 0.001), FEV1 z-score (p = 0.007), and right-HGS (%pred) (p = 0.009) significantly differed between the two groups. Multivariate linear regression revealed that the only factors that predicted BMD were FFMI z-score and HGS %pred.
CONCLUSION: Serum OC, OPG, RANKL and RANKL/OPG ratio did not predict BMD in cwCF. FFMI z-score and HGS %pred measured by non-invasive and practical methods were the best predictors of BMD.
METHODS: Sixteen cwCF aged 8-18 years with moderate low BMD (group1) and 64 cwCF with normal BMD (group2) were enrolled. Serum RANKL, OC, and OPG were determined by immunoenzymatic assays. Multiple parameters including pancreatic status, lung functions, body mass index (BMI), FFM measured by bioelectric impedance analysis (BIA), 6-minute walk test, vitamin D, nutritional intake, HGS, functional capacity and physical activity, serum and urine biomarkers were compared between the two groups.
RESULTS: We found similar serum levels of RANKL (p = 0.501), OC (p = 0.445), OPG (p = 0.380), and RANKL/OPG ratio (p = 0.449) between group1 and group2 in cwCF. BMI z-score (p < 0.001), FFMI z-score (p < 0.001), FEV1 z-score (p = 0.007), and right-HGS (%pred) (p = 0.009) significantly differed between the two groups. Multivariate linear regression revealed that the only factors that predicted BMD were FFMI z-score and HGS %pred.
CONCLUSION: Serum OC, OPG, RANKL and RANKL/OPG ratio did not predict BMD in cwCF. FFMI z-score and HGS %pred measured by non-invasive and practical methods were the best predictors of BMD.