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Xu S, Ma L, Li H, Wang X, Wu M, Jing J, Chen X, Lan R, Tang W, Zhu Y. Iron Supplementation Is Associated with Improvement of Motor Development, Hemoglobin Level, and Weight in Preterm Infants during the First Year of Life in China. Nutrients 2022; 14:nu14132624. [PMID: 35807810 PMCID: PMC9267941 DOI: 10.3390/nu14132624] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/18/2022] [Accepted: 06/19/2022] [Indexed: 01/27/2023] Open
Abstract
Iron supplementation is recommended for preterm infants due to impaired iron endowment. However, the health outcomes of this recommendation remain controversial. Thus, this study aimed to determine the association of iron supplementation with neurobehavioral development, hemoglobin (Hb), and anthropometric characteristics in preterm infants. A retrospective cohort design was applied to collect data from 1568 preterm infants at 0–3 months of corrected age (mo CA) from a hospital in South China. Infants were categorized into a 3-month iron supplementation group (IG, n = 697) or a control group (CG, n = 871) according to medical records, and then followed through to 12 mo CA. Data on neurobehavioral development, anthropometry, Hb level, history of diseases, and nutrition were collected at 3, 6, and 12 mo CA. The results showed that, compared with the CG, iron supplementation was positively related to improved gross motor skills and weight at 6 mo CA (β = 1.894, β = 5.322) and 12 mo CA (β = 4.019, β = 6.830) and fine motor skills at 12 mo CA (β = 1.980), after adjustment for confounding factors including illness, nutritional supplements, and diet. Iron supplementation was also related to elevated Hb levels and its increase at 3 mo CA (β = 2.196, β = 3.920) and 6 mo CA (β = 3.011, β = 7.259). In conclusion, iron supplementation for 3 months in Chinese preterm infants is positively associated with improved motor development, elevated Hb levels, and higher body weight during the first year of life.
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Affiliation(s)
- Suhua Xu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (S.X.); (H.L.); (X.W.); (M.W.); (J.J.); (X.C.); (R.L.); (W.T.)
| | - Liya Ma
- Shenzhen Bao’an Women and Children’s Hospital, Jinan University, Shenzhen 518102, China;
| | - Hailin Li
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (S.X.); (H.L.); (X.W.); (M.W.); (J.J.); (X.C.); (R.L.); (W.T.)
| | - Xiaotong Wang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (S.X.); (H.L.); (X.W.); (M.W.); (J.J.); (X.C.); (R.L.); (W.T.)
| | - Miao Wu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (S.X.); (H.L.); (X.W.); (M.W.); (J.J.); (X.C.); (R.L.); (W.T.)
| | - Jiajia Jing
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (S.X.); (H.L.); (X.W.); (M.W.); (J.J.); (X.C.); (R.L.); (W.T.)
| | - Xiaoyan Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (S.X.); (H.L.); (X.W.); (M.W.); (J.J.); (X.C.); (R.L.); (W.T.)
| | - Ruiling Lan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (S.X.); (H.L.); (X.W.); (M.W.); (J.J.); (X.C.); (R.L.); (W.T.)
| | - Weike Tang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (S.X.); (H.L.); (X.W.); (M.W.); (J.J.); (X.C.); (R.L.); (W.T.)
| | - Yanna Zhu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; (S.X.); (H.L.); (X.W.); (M.W.); (J.J.); (X.C.); (R.L.); (W.T.)
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
- Correspondence: ; Tel.: +86-20-87334627; Fax: +86-20-87330446
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Guo Y, Wang QJ, Zhang KH, Yao CY, Huang J, Li Q, Liu ZY, Zhang Y, Shan CH, Liu P, Wang MZ, An L, Tian JH, Wu ZH. Night-restricted feeding improves locomotor activity rhythm and modulates nutrient utilization to accelerate growth in rabbits. FASEB J 2020; 35:e21166. [PMID: 33184921 DOI: 10.1096/fj.202001265rr] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 10/19/2020] [Accepted: 10/23/2020] [Indexed: 11/11/2022]
Abstract
An unfavorable lifestyle disrupts the circadian rhythm, leading to metabolic dysfunction in adult humans and animals. Increasing evidence suggests that night-restricted feeding (NRF) can effectively prevent ectopic fat deposition caused by circadian rhythm disruption, and reduce the risk of metabolic diseases. However, previous studies have mainly focused on the prevention of obesity in adults by regulating dietary patterns, whereas limited attention has been paid to the effect of NRF on metabolism during growth and development. Here, we used weaning rabbits as models and found that NRF increased body weight gain without increasing feed intake, and promoted insulin-mediated protein synthesis through the mTOR/S6K pathway and muscle formation by upregulating MYOG. NRF improved the circadian clock, promoted PDH-regulated glycolysis and CPT1B-regulated fatty-acid β-oxidation, and reduced fat content in the serum and muscles. In addition, NRF-induced body temperature oscillation might be partly responsible for the improvement in the circadian clock and insulin sensitivity. Time-restricted feeding could be used as a nondrug intervention to prevent obesity and accelerate growth in adolescents.
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Affiliation(s)
- Yao Guo
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Qiang-Jun Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ke-Hao Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Chun-Yan Yao
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jie Huang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Qin Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Zhong-Ying Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yu Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Chun-Hua Shan
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Peng Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Mei-Zhi Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lei An
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jian-Hui Tian
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Zhong-Hong Wu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
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Zheng X, Wu Q, Weng D, Fu Y, Yue D, Wang Y. Adherence to supplemental vitamin D intake and infant weight gain: a retrospective cohort study in rural southwestern China. J Int Med Res 2020; 48:300060520969311. [PMID: 33249966 PMCID: PMC7708724 DOI: 10.1177/0300060520969311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objectives We tested the hypothesis that vitamin D supplementation is associated with early body mass index (BMI) patterns. Methods Using retrospective longitudinal data of infants and toddlers in a 2-year follow-up study, we identified BMI-for-age Z score (BAZ) growth trajectories using latent class growth modeling (LCGM) analysis. Logistic regression models were adopted to investigate the impact of vitamin D supplementation on BAZ patterns. Results Five BAZ trajectories were derived using LCGM. Higher intake of vitamin D supplement was significantly associated with lower odds of rapid weight gain or mild undernutrition in the first 2 years (odds ratios: 0.60–0.83 for class 2: early rapid growth; 0.69–0.82 for class 3: early weight loss, late rapid growth; 0.83–0.89 for class 4: suboptimal growth). Adherence to 400 IU Vitamin D ≥ 1 year was significantly associated with less likelihood of being in class 3 (odds ratio 0.17). Conclusions Among infants and toddlers aged 0 to 2 years, dietary supplementation of vitamin D is insufficient in rural areas of China. Insufficient vitamin D intake was found to be associated with suboptimal BAZ growth at early stages. Effective collaboration is needed between pediatricians and caregivers, to assure adherence to the nutritional guideline.
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Affiliation(s)
- Xiaofei Zheng
- Department of Child Health Care, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Qijun Wu
- Zhenxiong People's Hospital, Zhaotong, Yunnan, China
| | - Dadong Weng
- Wude Health Center, Wude, Zhenxiong, Zhaotong, Yunnan, China
| | - Yeju Fu
- Wude Health Center, Wude, Zhenxiong, Zhaotong, Yunnan, China
| | - Duxian Yue
- Wude Health Center, Wude, Zhenxiong, Zhaotong, Yunnan, China
| | - Yu Wang
- Department of Child Health Care, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
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Campbell JM, McPherson NO. Influence of increased paternal BMI on pregnancy and child health outcomes independent of maternal effects: A systematic review and meta-analysis. Obes Res Clin Pract 2019; 13:511-521. [DOI: 10.1016/j.orcp.2019.11.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 10/07/2019] [Accepted: 11/15/2019] [Indexed: 02/08/2023]
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Abstract
PURPOSE OF REVIEW A growing body of epidemiological and experimental data indicate that nutritional or environmental stressors during early development can induce long-term adaptations that increase risk of obesity, diabetes, cardiovascular disease, and other chronic conditions-a phenomenon termed "developmental programming." A common phenotype in humans and animal models is altered body composition, with reduced muscle and bone mass, and increased fat mass. In this review, we summarize the recent literature linking prenatal factors to future body composition and explore contributing mechanisms. RECENT FINDINGS Many prenatal exposures, including intrauterine growth restriction, extremes of birth weight, maternal obesity, and maternal diabetes, are associated with increased fat mass, reduced muscle mass, and decreased bone density, with effects reported throughout infancy and childhood, and persisting into middle age. Mechanisms and mediators include maternal diet, breastmilk composition, metabolites, appetite regulation, genetic and epigenetic influences, stem cell commitment and function, and mitochondrial metabolism. Differences in body composition are a common phenotype following disruptions to the prenatal environment, and may contribute to developmental programming of obesity and diabetes risk.
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Affiliation(s)
- Elvira Isganaitis
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
- Research Division, Joslin Diabetes Center, 1 Joslin Place, Room 655A, Boston, 02215, MA, USA.
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Abundances of placental imprinted genes CDKN1C, PHLDA2 and IGF-2 are related to low birth weight and early catch-up growth in full-term infants born small for gestational age. PLoS One 2019; 14:e0218278. [PMID: 31194812 PMCID: PMC6564030 DOI: 10.1371/journal.pone.0218278] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 05/29/2019] [Indexed: 11/28/2022] Open
Abstract
Children born small for gestational age (SGA) generally have a catch-up growth and rapid weight gain in the first years of life, which is a high risk of insulin resistance and cardiovascular diseases later in life. It was reported that the level of imprinted genes IGF-2, CDKN1C and PHLDA2 regulates placental growth. We assessed these imprinted genes expression levels in placental tissue and their influences on catch-up growth of full-term SGA infants. The protein and mRNA levels of placental CDKN1C, PHLDA2 and IGF-2 were analyzed in 29 full-term SGA and 29 full-term infants born appropriate for gestational age (AGA) using quantitative RT-PCR and Western blot assay, respectively. Catch-up growth was indicated by increased standard deviation score (ΔSDS) of weight at 1, 3 and 6 months relative to birth weight (BW). Correlations between indicated variables were evaluated using Pearson correlation coefficient analysis. Compared to AGA infants, CDKN1C and PHLDA2 levels were significantly increased, whereas IGF-2 was significantly reduced in SGA infants. The value of ΔSDS was significantly higher in SGA than that in AGA infants. For SGA status, Pearson analysis shows i) a negative correlation of CDKN1C and PHLDA2 abundances with BW, and a positive correlation of IGF-2 with BW, ii) no correlation between the three imprinted gene abundances and placental weight (PW), and between PW and BW, iii) a positive correlation of PHLDA2 abundance with CDKN1C, and iv) a positive correlation of CDKN1C and PHLDA2 abundances with ΔSDS, and a negative correlation of IGF-2 with ΔSDS at 1, 3 and 6 months. Taken together, increased CDKN1C and PHLDA2 and reduced IGF-2 abundances in placental tissue were related to BW and early period catch-up growth in full-term SGA infants. Placental CDKN1C, PHLDA2 and IGF-2 level monitoring may be useful for predicting and preventing the development of SGA.
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