Written by Abdel Hakeem Abdel Mohsen, Salem Sallam, Maggie M. Ramzy, Eman Kamel Hamed
Parent Category: Year 2016, Volume 8
Category: Volume 8, Issue 6, June 2016
Introduction: Since research investigating IGF-1 levels in breast milk are few, the goal of this study was to analyze the IGF-1 levels in the breast milk of diabetic mothers as well as in the serum of their newborn babies and to identify what relationship exists between blood serum and IGF-1 milk levels through patient measurement of mothers and their babies.
Methods: This case control study was undertaken under the auspices of the Clinic of Neonatology at Al Minia University Pediatric Hospital over May 2012 through May 2013. With a total of 30 diabetic mothers and their babies forming the experimental group and the control group consisting of 15 non-diabetic mothers and their babies. A detailed medical history, anthropometric assessments, as well as the measurement of the baby’s serum IGF-1 and their mother’s breast milk IGF-1 levels were taken from all participants using ELSIA. The resulting data were analyzed via Statistical Package for the Social Sciences (SPSS) version 16 and measurements of descriptive statistics, t-test, Chi-square test, as well as the Pearson Correlation Coefficient.
Results: The Infants born to Diabetic Mothers (IDMs) demonstrated significantly greater anthropometric measurement. Both the serum levels and the milk IGF-1 levels as well as all of the physical measurements taken were found to have a positive correlation between the level of IGF-1 in mother’s milk and all of the anthropometric measurements studied with the exception of delivered baby’s length.
Conclusion: Higher levels of IGF-1 are present in the milk of diabetic mothers and the blood serum of their babies and this characteristic could be used as a prenatal biomarker for macrosomia.
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Keywords: IGF-1, IDM, Breast milk, Anthropometric measurements
Volume 12, Issue 4, October-December 2020
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: