Evidence map›Paper›PMID 39175027›Full record

ArticleCardiovascular diabetology2024

Determinants of vascular impairment in type 1 diabetes-impact of sex and connexin 37 gene polymorphism: A cross-sectional study.

Pavlína Piťhová, Michaela Cichrová, Milan Kvapil, Jaroslav A Hubáček, Dana Dlouhá, Jan Piťha

Abstract read
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Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Pavlína PiťhováDepartment of Geriatric Internal Medicine, 2nd Medical Faculty Motol, Prague, Czech Republic.
Michaela CichrováFaculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic.
Milan KvapilDepartment of Geriatric Internal Medicine, 2nd Medical Faculty Motol, Prague, Czech Republic.
Jaroslav A HubáčekCentre for Experimental Medicine, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Dana DlouháCentre for Experimental Medicine, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Jan PiťhaCentre for Experimental Medicine, Institute for Clinical and Experimental Medicine, Prague, Czech Republic. japi@ikem.cz.

Funding

Ministry of Health of the Czech Republic NU20-01-00083National Institute for Research of Metabolic and Cardiovascular Diseases (Programme EXCELES) unded by the European Union- Next Generation EU and by Ministry of Health of the Czech Republic LX22NPO5104
6 · The paper itself

Abstract

backgroundThe associations of risk factors with vascular impairment in type 1 diabetes patients seem more complex than that in type 2 diabetes patients. Therefore, we analyzed the associations between traditional and novel cardiovascular risk factors and vascular parameters in individuals with T1D and modifications of these associations according to sex and genetic factors.

methodsIn a cross-sectional study, we analyzed the association of risk factors in T1D individuals younger than 65 years using vascular parameters, such as ankle brachial index (ABI) and toe brachial index (TBI), duplex ultrasound, measuring the presence of plaques in carotid and femoral arteries (Belcaro score) and intima media thickness of carotid arteries (CIMT). We also used photoplethysmography, which measured the interbranch index expressed as the Oliva-Roztocil index (ORI), and analyzed renal parameters, such as urine albumin/creatinine ratio (uACR) and glomerular filtration rate (GFR). We evaluated these associations using multivariate regression analysis, including interactions with sex and the gene for connexin 37 (Cx37) polymorphism (rs1764391).

resultsIn 235 men and 227 women (mean age 43.6 ± 13.6 years; mean duration of diabetes 22.1 ± 11.3 years), pulse pressure was strongly associated with unfavorable values of most of the vascular parameters under study (ABI, TBI, Belcaro scores, uACR and ORI), whereas plasma lipids, represented by remnant cholesterol (cholesterol - LDL-HDL cholesterol), the atherogenic index of plasma (log (triglycerides/HDL cholesterol) and Lp(a), were associated primarily with renal impairment (uACR, GFR and lipoprotein (a)). Plasma non-HDL cholesterol was not associated with any vascular parameter under study. In contrast to pulse pressure, the associations of lipid factors with kidney and vascular parameters were modified by sex and the Cx37 gene.

conclusionIn addition to known information, easily obtainable risk factor, such as pulse pressure, should be considered in individuals with T1D irrespective of sex and genetic background. The associations of plasma lipids with kidney function are complex and associated with sex and genetic factors. The decision of whether pulse pressure, remnant lipoproteins, Lp(a) and other determinants of vascular damage should become treatment targets in T1D should be based on the results of future clinical trials.

Indexed as

Diabetes Mellitus, Type 1Gap Junction alpha-4 ProteinAdultAnkle Brachial IndexCarotid Intima-Media ThicknessCross-Sectional StudiesDiabetic AngiopathiesFemaleGenetic Predisposition to DiseaseGlomerular Filtration RateHeart Disease Risk FactorsHumansMaleMiddle AgedPhenotypePhotoplethysmographyGap Junction alpha-4 Proteingap junction protein alpha 4, humanCardiovascular risk factorsGene for connexin 37SexType 1 diabetes mellitusVascular parameters

Identifiers

PMID39175027
PMCPMC11342627

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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.