Evidence map›Paper›PMID 24124423›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2013

Changes in bone biological markers after treatment of Iranian diabetic patients with pioglitazone: No relation to polymorphism of PPAR-γ (Pro12Ala).

Fatemeh Namvaran, Parvaneh Rahimi-Moghaddam, Negar Azarpira, Mohammad Hossien Dabbaghmanesh, Marzieh Bakhshayeshkaram, Mohamad Mahdi Namvaran

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Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 42% 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

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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

2 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Fatemeh NamvaranDepartment of Pharmacology, College of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Parvaneh Rahimi-Moghaddam
Negar Azarpira
Mohammad Hossien Dabbaghmanesh
Marzieh Bakhshayeshkaram
Mohamad Mahdi Namvaran
Shiraz University of Medical Sciences · IRTehran University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThiazolidinediones (TZDs) improves insulin sensitivity by activating the peroxisome proliferator-activated receptor γ (PPAR-g). We aimed to study any association between variation in bone biochemical markers and single nucleotide polymorphism (SNP) in PPAR-γ (Pro12Ala) and investigate if these genetic variants affect bone turnover markers in Iranian diabetic population before and after treatment with pioglitazone. MATERIALS AND

methodsA total of 101 patients (type 2 diabetic (T2D) were treated for 12 weeks with pioglitazone (15 mg/day). Bone Biological markers, osteocalcin, and C-terminal telopeptide of type 1 collagen (CTx) were measured before and after pioglitazone therapy. We genotyped 128 nondiabetic controls and 101 T2D patients as well. Pro12Ala polymorphism in PPAR-γ was done by real-time polymerase chain reaction (RT-PCR) using TaqMan assay.

resultsThere were statistically significant differences in allele frequencies of Pro12Ala while comparing the controls with T2D subjects. Ala frequency was 7 vs 3%, P = 0.036 and genotypic frequency of Pro/Ala was 5.94 vs 14.06%, P = 0.04. After treatment, the homeostasis model of assessment of insulin resistance (HOMA-IR) as a maker of insulin resistance was significantly decreased (P < 0.001). In respect of bone turnover markers, CTx values decreased and osteocalcin significantly increased. (P < 0.001).

conclusionOur findings did not reveal a significant association between this polymorphism and bone turnover markers after pioglitazone treatment. The reduced insulin resistance might be the reason that CTx values decreased and osteocalcin increased significantly after short-term pioglitazone treatment. These findings suggest the need for further studies on the possible role of insulin in regulation of bone metabolism.

Indexed as

Bone biological markersdiabetic patientinsulin resistanceIranian populationosteoporosispioglitazonepolymorphisms PPAR-γ

Identifiers

PMID24124423
PMCPMC3793371
OpenAlexW2096722617

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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.