Literature DB >> 11381195

Rh system and intrauterine growth. Interaction with season of birth.

F Gloria-Bottini1, G F Meloni, A Finocchi, S Porcu, A Amante, E Bottini.   

Abstract

Based on the hypothesis that maternal-fetal genetic differences in membrane transport and signal transduction may influence intrauterine development, the recent acquisition on transport function of Rh protein prompted us to study the relationship between joint maternal-fetal Rh phenotype and birth weight. Considering that metabolic effect of maternal-fetal competition could be amplified by environmental conditions, we have investigated possible seasonal effects on such relationship. We have studied 5291 infants born in Sardinia in the period January 1993--December 1996 and 984 infants born in Rome during 1996. In Rh(-) mothers there is a significant association between season of birth and birth weight that shows the highest mean value in infants born in autumn (i.e. conceived in winter). The association is much more evident in male than in female infants. In male infants from Rh(-) mothers, the association between birth weight and season is significant in Rh(+) male newborns only. Recent observations by our group in NIDDM suggest that glucose transport in RBC may be related to D protein, thus we propose an interpretation of the present observation in terms of transport function. When the density of D protein in the infant is greater than in the mother, the balance is in favour of the infant who may attain a significant developmental advantage when conceived in the cold season.

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Year:  2000        PMID: 11381195      PMCID: PMC3850835          DOI: 10.1155/2000/604605

Source DB:  PubMed          Journal:  Dis Markers        ISSN: 0278-0240            Impact factor:   3.434


  2 in total

Review 1.  Associations of meteorology with adverse pregnancy outcomes: a systematic review of preeclampsia, preterm birth and birth weight.

Authors:  Alyssa J Beltran; Jun Wu; Olivier Laurent
Journal:  Int J Environ Res Public Health       Date:  2013-12-20       Impact factor: 3.390

2.  The impact of nonlinear exposure-risk relationships on seasonal time-series data: modelling Danish neonatal birth anthropometric data.

Authors:  John McGrath; Adrian Barnett; Darryl Eyles; Thomas Burne; Carsten B Pedersen; Preben Bo Mortensen
Journal:  BMC Med Res Methodol       Date:  2007-10-15       Impact factor: 4.615

  2 in total

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