Evidence map›Paper›PMID 38455933›Full record

ArticleFrontiers in epidemiology2023

Genetic and biomarker modulation of arterial stiffness change in the SardiNIA population cohort.

Nigus G Asefa, Osorio Meirelles, Edward Lakatta, Edoardo Fiorillo, Angelo Scuteri, Francesco Cucca, Michele Marongiu, Alessandro Delitala, David Schlessinger, Lenore J Launer

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in epidemiology, 2023. 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
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

10 authors at 5 institutions in 2 countries.

Nigus G AsefaLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, NIH, Baltimore, MD, United States.
Osorio MeirellesLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, NIH, Baltimore, MD, United States.
Edward LakattaLaboratory of Cardiovascular Sciences, National Institute on Aging Intramural Research Program, NIH, Baltimore, MD, United States.
Edoardo FiorilloIstituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Lanusei, Italy.
Angelo ScuteriDipartimento Scienze Mediche e Sanita' Pubblica, Universita' di Cagliari, Cagliari, Italy.
Francesco CuccaIstituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Lanusei, Italy.
Michele MarongiuIstituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Lanusei, Italy.
Alessandro DelitalaDepartment of Surgical, Medical and Experimental Sciences, University of Sassari, Sassari, Italy.
David SchlessingerLaboratory of Genetics, National Institute on Aging Intramural Research Program, NIH, Baltimore, MD, United States.
Lenore J LaunerLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, NIH, Baltimore, MD, United States.
Institute of Genetic and Biomedical Research · ITNational Institutes of Health · USNational Institute on Aging · USUniversity of Cagliari · ITUniversity of Sassari · IT

Funding

NIDA NIH HHS HHSN271201100005CNIDA NIH HHS HHSN271201600005CNIDA NIH HHS HHSN271201600005I
6 · The paper itself

Abstract

Background and aims: Arterial stiffness (AS), quantified by pulse wave velocity (PWV), arises due to impaired arterial elastic tissue and smooth muscle dysfunction. We aimed to examine the longitudinal association of genetic, lipid and inflammation biomarkers with PWV and how these associations may change with aging. Materials and methods: We utilized genotype and four time-point biomarker data from the SardiNIA cohort [ Results: Using the complete dataset, we found a significant longitudinal association of total cholesterol (TC), triglycerides (TG), fibrinogen (FGN), and total white blood cell count (TWBC) with PWV, all with Conclusion: The longitudinal association of TG and TWBC biomarkers with PWV varied by SNPs rs3742207 and rs7152623 genotype. Further studies are warranted to investigate the function of genetics, lipids, and inflammation biomarkers on PWV change.

Indexed as

arterial stiffnessenvironmentgenetic variantinflammationlipidlongitudinalpulse wave velocity

Identifiers

PMID38455933
PMCPMC10910914
OpenAlexW4390585238

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.