Evidence map›Paper›PMID 23963898›Full record

ArticleJournal of molecular histology2014

Immunohistochemical distribution of cell cycle proteins p27, p57, cyclin D3, PCNA and Ki67 in normal and diabetic human placentas.

Gozde Unek, Aslı Ozmen, Inanc Mendilcioglu, Mehmet Simsek, Emin Turkay Korgun

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Article in Journal of molecular histology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 35 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Gozde UnekDepartment of Histology and Embryology, Medical Faculty, Akdeniz University, 07070, Antalya, Turkey.
Aslı Ozmen
Inanc Mendilcioglu
Mehmet Simsek
Emin Turkay Korgun
Akdeniz University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The placenta is a regulator organ for many metabolic activities between mother and fetus. Therefore, fetal growth is directly related to the placental development. Placental development is a series of events that depend on the coordinated action of trophoblasts' proliferation, differentiation and invasion. Studies on cell cycle related proteins which control these events are fairly limited. How placental tissue proliferation is affected by diabetes is not exactly known yet. Therefore in this study, the immunohistochemical localizations of cell cycle related proteins like PCNA, Ki67, cyclin D3, p27 and p57 in the differentiation, proliferation and apoptosis mechanisms of normal and diabetic placentas were investigated. Information on cell cycle related proteins that control these events is limited and how they are affected in diabetes mellitus is not fully understood yet. Therefore, in this study, to understand the role of cell cycle regulators in diabetic placentas we aimed to determine the spatio-temporal immunolocalizations of cell cycle regulators in diabetic and normal human term placentas. Term placentas were obtained from diabetic women and from normal pregnancies with informed consent following caesarean deliveries. Placental samples were stained via immunohistochemistry with PCNA, Ki67, cyclin D3, p27 and p57 antibodies and were examined by light microscopy. When compared to control placentas, PCNA, Ki67 and cyclin D3 staining intensities significantly increased in villous parts of diabetes group. Moreover, Ki67 and cyclin D3 stainings also significantly increased in basal plates and chorionic plate respectively. In chorionic plates, p27 and p57 staining intensities significantly decreased in diabetic group. p57 staining also significantly decreased in villous parts of diabetic placentas. Placental abnormalities seen in diabetic placentas could be associated with proliferation and cell cycle arrest mechanisms' alterations occurred in diabetes mellitus.

Indexed as

AdultCase-Control StudiesCyclin D3Cyclin-Dependent Kinase Inhibitor p27Cyclin-Dependent Kinase Inhibitor p57Diabetes MellitusFemaleHumansImmunohistochemistryKi-67 AntigenPlacentaPregnancyProliferating Cell Nuclear AntigenYoung AdultCyclin D3Cyclin-Dependent Kinase Inhibitor p27Cyclin-Dependent Kinase Inhibitor p57Ki-67 AntigenProliferating Cell Nuclear Antigen

Identifiers

PMID23963898
OpenAlexW2012907763

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.