Correlations of circulating peptide YY and ghrelin with body weight, rate of weight gain, and time required to achieve the recommended daily intake in preterm infants

The objective was to elucidate the relationships between serum concentrations of the gut hormone peptide YY (PYY) and ghrelin and growth development in infants for potential application to the clinical observation index. Serum concentrations of PYY and ghrelin were measured using radioimmunoassay from samples collected at the clinic. For each patient, gestational age, birth weight, time required to return to birth weight, rate of weight gain, time required to achieve recommended daily intake (RDI) standards, time required for full-gastric feeding, duration of hospitalization, and time of administration of total parenteral nutrition were recorded. Serum PYY and ghrelin concentrations were significantly higher in the preterm group (N = 20) than in the full-term group (N = 20; P < 0.01). Within the preterm infant group, the serum concentrations of PYY and ghrelin on postnatal day (PND) 7 (ghrelin = 1485.38 ± 409.24; PYY = 812.37 ± 153.77 ng/L) were significantly higher than on PND 1 (ghrelin = 956.85 ± 223.09; PYY = 545.27 ± 204.51 ng/L) or PND 3 (ghrelin = 1108.44 ± 351.36; PYY = 628.96 ± 235.63 ng/L; P < 0.01). Both serum PYY and ghrelin concentrations were negatively correlated with body weight, and the degree of correlation varied with age. Serum ghrelin concentration correlated negatively with birth weight and positively with the time required to achieve RDI (P < 0.05). In conclusion, serum PYY and ghrelin concentrations reflect a negative energy balance, predict postnatal growth, and enable compensation. Further studies are required to elucidate the precise concentration and roles of PYY and ghrelin in newborns and to determine the usefulness of measuring these hormones in clinical practice

An Explicit Surface Potential Model of Bulk-MOSFETs with Inclusion of Poly-Gate Accumulation, Depletion and Inversion Effects

An explicit surface potential model of the bulk-MOSFET with inclusion of the poly-gate accumulation, depletion, and inversion effects is derived from the basic MOS device physics and its solution result is also discussed in this paper. By the means of the appropriate approximations and device physics derivation, the complex group of the surface-potential and poly-silicon potential equations is transformed into one single explicit surface potential equation of a MOSFET with the poly-silicon accumulation/depletion/inversion effects. It is demonstrated that the proposed surface potential equation and its solution correctly yet accurately describe the physical behaviors of the poly-silicon potential, surface potential, gate charge, the gate capacitance, with continuous and smooth transitions from the accumulation region, thorough the depletion region, finally to the strong inversion region. The predicted MOSFET trans-capacitance behavior is verified by the result of fully numerical iteration method, thus, the surface potential equation presented can be used in advanced surface potential based MOSFET compact model development

Establishment and Validation of Reference Genes of Brassica napus L. for Digital PCR Detection of Genetically Modified Canola

As an effective tool for genetically modified organism (GMO) quantification in complex matrices, digital PCR (dPCR) has been widely used for the quantification of genetically modified (GM) canola events; however, little is known about the quantification of GM canola events using endogenous reference gene (ERG) characteristics by dPCR. To calculate and quantify the content of GM canola using endogenous reference gene (ERG) characteristics, the suitability of several ERGs of canola, such as cruciferin A (CruA), acetyl-CoA carboxylase (BnAcc), phosphoenolpyruvate carboxylase (PEP), cruciferin storage (BnC1), oleoyl hydrolase (Fat(A)), and high-mobility-group protein I/Y (HMG-I/Y), was investigated by droplet dPCR. BnAcc and BnC1 were more specific and stable in copy number in the genome of Brassica napus L. than the other genes. By performing intra-laboratory validation of the suitability of ERG characteristics for the quantification of GM canola events, the ddPCR methods for BnAcc and BnC1 were comprehensively demonstrated in dPCR assays. The methods could provide technical support for GM labeling regulations