- Browse by Subject
Browsing by Subject "Newborns"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
Item An epigenetic clock for gestational age based on human umbilical vein endothelial cells from a diverse population of newborns(Research Square, 2023-06-30) Peng, Gang; Sosnowski, David W.; Murphy, Susan K.; Johnson, Sara B.; Skaar, David; Schleif, William S.; Hernandez, Raquel G.; Monforte, Hector; Zhao, Hongyu; Hoyo, Cathrine; Medical and Molecular Genetics, School of MedicineBackground: Epigenetic clocks are emerging as a useful tool in many areas of research. Many epigenetic clocks have been developed for adults; however, there are fewer clocks focused on newborns and most are trained using blood from European ancestry populations. In this study, we built an epigenetic clock based on primary human umbilical vein endothelial cells from a racially and ethnically diverse population. Results: Using human umbilical vein endothelial cell [HUVEC]-derived DNA, we calculated epigenetic gestational age using 83 CpG sites selected through elastic net regression. In this study with newborns from different racial/ethnic identities, epigenetic gestational age and clinical gestational age were more highly correlated (r = 0.85), than epigenetic clocks built from adult and other pediatric populations. The correlation was also higher than clocks based on blood samples from newborns with European ancestry. We also found that birth weight was positively associated with epigenetic gestational age acceleration (EGAA), while NICU admission was associated with lower EGAA. Newborns self-identified as Hispanic or non-Hispanic Black had lower EGAA than self-identified as non-Hispanic White. Conclusions: Epigenetic gestational age can be used to estimate clinical gestational age and may help index neonatal development. Caution should be exercised when using epigenetic clocks built from adults with children, especially newborns. We highlight the importance of cell type-specific epigenetic clocks and general pan tissue epigenetic clocks derived from a large racially and ethnically diverse population.Item Cartoon advertisement of stork delivering a newborn baby, with text emphasizing the importance of registering their birth.(Indiana State Board of Health, 1915-05)[Text in capital letters within image] Count the babies. Important: Register every birth with your Health Officer.Item Regional trends in birth weight in low- and middle-income countries 2013–2018(BMC, 2020-12-17) Marete, Irene; Ekhaguere, Osayame; Bann, Carla M.; Bucher, Sherri L.; Nyongesa, Paul; Patel, Archana B.; Hibberd, Patricia L.; Saleem, Sarah; Goldenberg, Robert L.; Goudar, Shivaprasad S.; Derman, Richard J.; Garces, Ana L.; Krebs, Nancy F.; Chomba, Elwyn; Carlo, Waldemar A.; Lokangaka, Adien; Bauserman, Melissa; Koso‑Thomas, Marion; Moore, Janet L.; McClure, Elizabeth M.; Esamai, Fabian; Pediatrics, School of MedicineBackground: Birth weight (BW) is a strong predictor of neonatal outcomes. The purpose of this study was to compare BWs between global regions (south Asia, sub-Saharan Africa, Central America) prospectively and to determine if trends exist in BW over time using the population-based maternal and newborn registry (MNHR) of the Global Network for Women'sand Children's Health Research (Global Network). Methods: The MNHR is a prospective observational population-based registryof six research sites participating in the Global Network (2013-2018), within five low- and middle-income countries (Kenya, Zambia, India, Pakistan, and Guatemala) in threeglobal regions (sub-Saharan Af rica, south Asia, Central America). The birth weights were obtained for all infants born during the study period. This was done either by abstracting from the infants' health facility records or from direct measurement by the registry staff for infants born at home. After controlling for demographic characteristics, mixed-effect regression models were utilized to examine regional differences in birth weights over time. Results: The overall BW meanswere higher for the African sites (Zambia and Kenya), 3186 g (SD 463 g) in 2013 and 3149 g (SD 449 g) in 2018, ascompared to Asian sites (Belagavi and Nagpur, India and Pakistan), 2717 g (SD450 g) in 2013 and 2713 g (SD 452 g) in 2018. The Central American site (Guatemala) had a mean BW intermediate between the African and south Asian sites, 2928 g (SD 452) in 2013, and 2874 g (SD 448) in 2018. The low birth weight (LBW) incidence was highest in the south Asian sites (India and Pakistan) and lowest in the African sites (Kenya and Zambia). The size of regional differences varied somewhat over time with slight decreases in the gap in birth weights between the African and Asian sites and slight increases in the gap between the African and Central American sites. Conclusions: Overall, BWmeans by global region did not change significantly over the 5-year study period. From 2013 to 2018, infants enrolled at the African sites demonstrated the highest BW means overall across the entire study period, particularly as compared to Asian sites. The incidence of LBW was highest in the Asian sites (India and Pakistan) compared to the African and Central American sites. Trial registration The study is registered at clinicaltrials.gov. ClinicalTrial.gov Trial Registration: NCT01073475.