Evidence map›Paper›PMID 31949450›Full record

ArticleARYA atherosclerosis2019

Interleukin 10, lipid profile, vitamin D, selenium, metabolic syndrome, and serum antioxidant capacity in elderly people with and without cardiovascular disease: Amirkola health and ageing project cohort-based study.

Hamid Reza Nematollahi, Reza Hosseini, Ali Bijani, Haleh Akhavan-Niaki, Hadi Parsian, Mahdi Pouramir, Mehrdad Saravi, Mojgan Bagherzadeh, Abbas Mosapour, Massud Saleh-Moghaddam and 3 more

Abstract read
In one paragraph

Article in ARYA atherosclerosis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Hamid Reza NematollahiDepartment of Biochemistry, School of Sciences, Payame Noor University of Mashhad, Mashhad, Iran.
Reza HosseiniProfessor, Social Determinants of Health Research Center AND Department of Community Medicine, Babol University of Medical Sciences, Babol, Iran.
Ali BijaniAssistant Professor, Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Haleh Akhavan-NiakiProfessor, Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Hadi ParsianProfessor, Department of Biochemistry, School of Sciences, Babol University of Medical Sciences, Babol, Iran.
Mahdi PouramirProfessor, Department of Biochemistry, School of Sciences, Babol University of Medical Sciences, Babol, Iran.
Mehrdad SaraviAssociate Professor, Department of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran.
Mojgan BagherzadehDepartment of Immunology, School of Medicine, Babol University of Medical Sciences, Babol, Iran.
Abbas MosapourPhD Candidate, Department of Biochemistry, School of Medicine, Babol University of Medical Sciences, Babol, Iran.
Massud Saleh-MoghaddamProfessor, Department of Biochemistry, School of Sciences, Payame Noor University of Mashhad, Mashhad, Iran.
Majid RajabianProfessor, Department of Biochemistry, School of Sciences, Payame Noor University of Mashhad, Mashhad, Iran.
Monireh GolpourPhD Candidate, Cellular and Molecular Biology Research Center AND Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Amrollah MostafazadehAssociate Professor, Cellular and Molecular Biology Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Babol University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe age-related autoinflammation-mediated atherosclerosis is associated with some immunological, nutritional, and metabolic parameters and redox status. Here, we evaluated the association of circulatory interleukin 10 (IL-10) levels with lipid profile, some nutrients, and total anti-oxidant capacity in elderly people who presented cardiovascular disease (CVD) with or without metabolic syndrome (MetS) and in healthy subjects.

methodsIn this cross-sectional case-control study, 258 sera prepared from elderly people (144 healthy and 114 patient subjects) who participated in a community-based study, the Amirkola Health and Ageing Project (AHAP), were analyzed for IL-10, lipid profile, vitamin D, selenium (Se), antioxidant capacity, and MetS.

resultsCompared to patients, the healthy subjects exhibited higher levels of circulatory IL-10 among individuals with detectable serum IL-10 (P = 0.036). However, this difference was not observed when total subjects from both groups were compared, since more than 90% of those people were IL-10-negative. Se, vitamin D, and antioxidant levels were similar in both groups. There was a negative association between IL-10 and body mass index (BMI) (P < 0.050) and an equivocal association with vitamin D levels, whereas the association between IL-10 and other indicated variables was not significant. Significant association was observed between MetS and CVD prevalence (P < 0.001). There was a positive correlation between Se and total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) (P < 0.010) in healthy subjects and with TC in patients (P < 0.050).

conclusionA major proportion of elderly people were serum IL-10-negative, whereas independently to IL-10, MetS was most common in patients with CVD. Weight loss may have the potential to increase IL-10 levels in the elderly.

Indexed as

AntioxidantsCardiovascular DiseasesElderlyInterleukin 10LipidsMetabolic Syndrome

Identifiers

PMID31949450
PMCPMC6954357
OpenAlexW2989932042

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.