Evidence map›Paper›PMID 34045977›Full record

ArticleFrontiers in physiology2021

Sex Differences in the Physiological Network of Healthy Young Subjects.

Antonio Barajas-Martínez, Elizabeth Ibarra-Coronado, Ruben Fossion, Juan Claudio Toledo-Roy, Vania Martínez-Garcés, Juan Antonio López-Rivera, Geraldine Tello-Santoyo, Rusland D Lavin, José Luis Gómez, Christopher R Stephens and 8 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 2021. 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
–field-weighted citation impact
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.

  1. Trial
  2. Sexual Dimorphism in the Development of Cardiometabolic Syndrome.Handbook of experimental pharmacology · 2026
    Review
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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

18 authors.

Antonio Barajas-MartínezDoctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Elizabeth Ibarra-CoronadoCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Ruben FossionCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Juan Claudio Toledo-RoyCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Vania Martínez-GarcésPlan de Estudios Combinados en Medicina (PECEM-MD/PhD), Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Juan Antonio López-RiveraCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Geraldine Tello-SantoyoFacultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Rusland D LavinCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
José Luis GómezFacultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Christopher R StephensCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Carlos A Aguilar-SalinasInstituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán", Mexico City, Mexico.
Bruno EstañolCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Nimbe TorresInstituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán", Mexico City, Mexico.
Armando R TovarInstituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán", Mexico City, Mexico.
Osbaldo Resendis-AntonioCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Marcia HiriartCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Alejandro FrankCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Ana Leonor RiveraCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within human physiology, systemic interactions couple physiological variables to maintain homeostasis. These interactions change according to health status and are modified by factors such as age and sex. For several physiological processes, sex-based distinctions in normal physiology are present and defined in isolation. However, new methodologies are indispensable to analyze system-wide properties and interactions with the objective of exploring differences between sexes. Here we propose a new method to construct complex inferential networks from a normalization using the clinical criteria for health of physiological variables, and the correlations between anthropometric and blood tests biomarkers of 198 healthy young participants (117 women, 81 men, from 18 to 27 years old). Physiological networks of men have less correlations, displayed higher modularity, higher small-world index, but were more vulnerable to directed attacks, whereas networks of women were more resilient. The networks of both men and women displayed sex-specific connections that are consistent with the literature. Additionally, we carried out a time-series study on heart rate variability (HRV) using Physionet's Fantasia database. Autocorrelation of HRV, variance, and Poincare's plots, as a measure of variability, are statistically significant higher in young men and statistically significant different from young women. These differences are attenuated in older men and women, that have similar HRV distributions. The network approach revealed differences in the association of variables related to glucose homeostasis, nitrogen balance, kidney function, and fat depots. The clusters of physiological variables and their roles within the network remained similar regardless of sex. Both methodologies show a higher number of associations between variables in the physiological system of women, implying redundant mechanisms of control and simultaneously showing that these systems display less variability in time than those of men, constituting a more resilient system.

Indexed as

anthropometric measuresblood testhealthheart rate variabilityphysiological networksex differencessexual dimorphism

Identifiers

PMID34045977
PMCPMC8144508

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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.