Growth trajectory of full-term small-for-gestational-age infants: a 3-year longitudinal study in China.

OBJECTIVE: Small-for-gestational-age (SGA) infants are at risk of impaired growth and developmental outcomes, even for those who were born at full term. The growth trajectory of full-term SGA infants remains unknown. Therefore, this study aimed to evaluate the growth trajectory of full-term SGA infants from birth to 3 years old in East China. METHODS: Full-term SGA infants were followed up from birth to 3 years old. The weight and length were measured at 3, 6, 12, 18, 24, 30 and 36 months. Rate of catch-up growth and rates of growth deviations including short stature, emaciation, underweight, overweight and obesity, were calculated at different time points. Latent class analysis was applied to describe growth trajectories from birth to 36 months. RESULTS: A total of 816 full-term SGA infants were enrolled in this study and 303 had complete follow-up data at 3, 6, 12, 18, 24, 30 and 36 months. At 24 months, the rate of catch-up growth was 42.4% in girls and 48.6% in boys; while at 36 months, this rate was 43.3% in girls and 52.1% in boys. The latent class analysis identified two trajectories of weight and length in boys and girls. Girls showed different growth trajectories of weight since 12 months compared with boys. CONCLUSIONS: Our study reported a relatively low rate of catch-up growth in full-term SGA infants and has identified different growth trajectories of length and weight in boys and girls. We call for attention from health professionals on the growth trajectory of full-term SGA infants to eventually promote their health potentials.

Differences of DNA methylation patterns in the placenta of large for gestational age infant.

To investigate the molecular mechanisms of later metabolic health changes in large for gestational age (LGA) newborns by analyzing deoxyribonucleic acid (DNA) methylation patterns in the placenta of LGA and appropriate for gestational age (AGA) newborns.A total of 6 placentas of LGA and 6 placentas of AGA newborns were enrolled as LGA group and AGA group. DNA methylation was analyzed using the Illumina Infinium Human MethylationEPIC BeadChip microarrays and verified via pyrosequencing and reverse transcription-quantitative real-time polymerase chain reaction. Functional enrichment analysis were constructed by gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis based on the differentially methylated regions between LGA and AGA groups.Clinical investigation showed that LGA newborns had significantly lower hemoglobin and blood glucose compared to AGA newborns. Birth weight was negatively correlated to hemoglobin and blood glucose. Genome-wide DNA methylation analysis identified 17 244 methylation variable positions achieving genome-wide significance (adjusted P < .05). 34% methylation variable positions were located in the gene promoter region. A total of 117 differentially methylated regions were revealed by bump hunting analysis, which mapped to 107 genes. Function analysis showed 13 genes enriched in "adhesion and infection process, endocrine and other factor-regulated calcium reabsorption, calcium signaling pathway and transmembrane transport". Four genes linked to type II diabetes mellitus. Among the 13 genes, we selected GNAS and calcium voltage-gated channel subunit alpha1 G for independent verification of pyrosequencing, and the messenger ribonucleic acid levels of guanine nucleotide binding protein, calcium voltage-gated channel subunit alpha1 G, DECR1, and FK506 binding protein 11 were verified by reverse transcription-quantitative real-time polymerase chain reaction.DNA methylation variation and gene expression differences in placental samples were associated with LGA newborns, which linking the effect of intrauterine environment to regulation of the offspring's gene expression. Furthermore, pathway analysis suggested that intrauterine environment affecting fetal growth might had a functional impact on multiple signaling pathways involved in fetal growth, metabolism, and inflammation. Further studies were required to understand the differences of methylation patterns.

Relationship Between Immune Parameters and Non-alcoholic Fatty Liver Disease in Obese Children.

OBJECTIVE: To investigate the relationship between immune parameters and non-alcoholic fatty liver disease (NAFLD) in obese children. DESIGN: Cross-sectional study. SETTING: Hospital-based study in Zhejiang Province, China between July to September 2015. PARTICIPANTS: A total of 117 obese children and 209 healthy non-obese children were studied as the obese and control groups. Depending on the severity of NAFLD, the obese group was divided into subgroups 1 (without NAFLD), 2 (with simple fatty liver) and 3 (with steatohepatitis). OUTCOME MEASURES: Glucose metabolism, lipid metabolism and immune parameters. RESULTS: In the obese group, body mass index (BMI), waist-and hip-circumferences, fasting insulin, Homeostasis model of assessment for insulin resistance (HOMA-IR), triglyceride, total cholesterol, low density lipoprotein cholesterol (LDL-C), apolipoprotein (Apo)B/ApoA1, alanine aminotransferase, uric acid, white blood cells, neutrophils percentage, platelet and interleukin (IL)-6 were significantly higher than those in the controls (P<0.05), while lower high density lipoprotein cholesterol and lymphocyte percentage were noted (P<0.05). IL-10 in the subgroup 3 was higher than those in the control group, subgroup 1 and 2 (P<0.05). Logistic regression analysis showed that BMI, LDL-C, HOMA-IR and IL-10 were independent factors of NAFLD (P<0.05). CONCLUSION: These results support a low-grade chronic inflammation in obese children. Moreover, obesity, dyslipidaemia and IR are risk factors while IL-10 may be a protective factor for NAFLD.