Evidence map›Paper›PMID 32590977›Full record

ArticleLipids in health and disease2020

A structural equation model to assess the pathways of body adiposity and inflammation status on dysmetabolic biomarkers via red cell distribution width and mean corpuscular volume: a cross-sectional study in overweight and obese subjects.

Mariangela Rondanelli, Simone Perna, Tariq A Alalwan, Roberta Cazzola, Clara Gasparri, Vittoria Infantino, Federica Perdoni, Giancarlo Iannello, Daniele Pepe, Davide Guido

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 18 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

10 authors at 7 institutions in 3 countries.

Mariangela RondanelliIRCCS Mondino Foundation, 27100, Pavia, Italy.
Simone PernaDepartment of Biology, College of Science, University of Bahrain, Sakhir Campus, P. O. Box 32038, Zallaq, Kingdom of Bahrain.
Tariq A AlalwanDepartment of Biology, College of Science, University of Bahrain, Sakhir Campus, P. O. Box 32038, Zallaq, Kingdom of Bahrain.
Roberta CazzolaDepartment of Biomedical and Clinical Sciences "L. Sacco", University of Milan, Milan, Italy.
Clara GasparriEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona "Istituto Santa Margherita", University of Pavia, 27100, Pavia, Italy. clara.gasparri01@universitadipavia.it.ORCID http://orcid.org/0000-0002-1088-6648
Vittoria InfantinoDepartment of Biomedical Science and Human Oncology, University of Bari, 70121, Bari, Italy.
Federica PerdoniEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona "Istituto Santa Margherita", University of Pavia, 27100, Pavia, Italy.
Giancarlo IannelloGeneral Management, Azienda di Servizi alla Persona "Istituto Santa Margherita", 27100, Pavia, Italy.
Daniele PepeHasselt University, I-BioStat, Diepenbeek, Belgium.
Davide GuidoNeurology, Public Health, Disability Unit, Scientific Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
University of Pavia · ITUniversity of Bahrain · BHAzienda di Servizi alla Persona di Pavia (Italy) · ITHasselt University · BEIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Bari Aldo Moro · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA study has been performed in overweight and obese subjects to assess the effects of adiposity and inflammation indicators on dysmetabolic biomarkers via red cell distribution width (RDW) and mean corpuscular volume (MCV), taking into account pro-antioxidant balance.

methodsData from 166 overweight subjects were analyzed by a path analysis model using structural equation modelling (SEM) to evaluate the direct and indirect pathway effects of adiposity, measured by body mass index (BMI) and waist circumference (WC), and inflammation status, measured by pro-antioxidant balance [reactive oxygen species (ROS)], lag-time and slope and C-reactive protein (CRP) values on dysmetabolic biomarkers, via RDW and MCV.

resultsBMI was strongly linked to CRP and ROS levels. Moreover, there was a significant negative decrease of MCV (1.546 femtoliters) linked to BMI indirectly via high CRP levels. Furthermore, WC affected RDW, indicating a possible mediatory role for RDW in relation to the relationship between WC and homeostatic model assessment (HOMA), insulin and high density lipoprotein (HDL), respectively. This was evident by the elevated HOMA and insulin levels and the decreased levels of HDL. Finally, ROS-related markers did not affect directly RDW and MCV.

conclusionThe reported outcomes suggest that RDW might play a mediatory role in the relationship between WC and the dysmetabolic outcomes in overweight and obese individuals. CRP seems to modulate the linkage between BMI and MCV. This study provides the backbone structure for future scenarios and lays the foundation for further research on the role of RDW and MCV as suitable biomarkers for the assessment of cardiovascular disease (HDL-cholesterol), inflammatory bowels and insulin resistance.

Indexed as

LipidsModels, BiologicalAdiposityAdolescentAdultBiomarkersBody Mass IndexC-Reactive ProteinCross-Sectional StudiesErythrocyte IndicesFemaleHumansInflammationMaleMiddle AgedObesityBiomarkersC-Reactive ProteinLipidsInflammationMean corpuscular volumeMetabolismObesityPath analysisPathwayReactive oxygen speciesRed cell distribution widthStructural equation modelling

Identifiers

PMID32590977
PMCPMC7320558
OpenAlexW3037661545

What OpenQuestion holds

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LicenceCC BY
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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.