2014
DOI: 10.1055/s-0034-1395691
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The Role of Non-Placental Signals in the Adaptation of Islets to Pregnancy

Abstract: It is well established that the maternal β-cell mass increases during pregnancy in both humans and rodents to compensate insulin resistance and increased metabolic demand, and rapidly returns to normal levels post-partum. However, the mechanisms underlying this adaptation are not well understood. It is established that this process is driven partly by placental signals, but the contribution of non-placental signals is still unclear. This study aimed to differentiate between the role of placental and non-placen… Show more

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Cited by 18 publications
(23 citation statements)
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References 32 publications
(57 reference statements)
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“…On gd12, a time of rapid β-cell expansion [6], 79 out of 126 known islet GPCR ligand mRNAs were expressed at detectable levels in mouse placental extracts, as shown in Fig. 3 and (see online suppl.…”
Section: Resultsmentioning
confidence: 99%
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“…On gd12, a time of rapid β-cell expansion [6], 79 out of 126 known islet GPCR ligand mRNAs were expressed at detectable levels in mouse placental extracts, as shown in Fig. 3 and (see online suppl.…”
Section: Resultsmentioning
confidence: 99%
“…Table 5. Analysis of the expression of the same mRNA species in placental extracts at gd18, when β-cell expansion has ceased [6], indicated expression of 62 GPCR ligand mRNAs (Fig. 4, see online suppl.…”
Section: Resultsmentioning
confidence: 99%
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“…The hormone prolactin is known to increase pancreatic β-cell mass and function during human pregnancy, but effects on β cells during the peripartum and postpartum periods have not been delineated. In mice, a higher rate of maternal β-cell proliferation was reported in lactating groups than in nonlactating groups (36). In postpartum women with recent GDM, lactation enhances β-cell compensation for insulin resistance, resulting in better insulin sensitivity, glucose effectiveness, and first-phase insulin response to glucose according to the Bergman Minimal Model (9).…”
Section: Discussionmentioning
confidence: 99%