Evidence map›Paper›PMID 34803926›Full record

ArticleFrontiers in endocrinology2021

The Transgenerational Transmission of the Paternal Type 2 Diabetes-Induced Subfertility Phenotype.

Eva Zatecka, Romana Bohuslavova, Eliska Valaskova, Hasmik Margaryan, Fatima Elzeinova, Alena Kubatova, Simona Hylmarova, Jana Peknicova, Gabriela Pavlinkova

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
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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

9 authors at 3 institutions in 1 country.

Eva ZateckaLaboratory of Reproductive Biology, Institute of Biotechnology Czech Academy of Sciences (CAS), Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University in Vestec (BIOCEV), Vestec, Czechia.
Romana BohuslavovaLaboratory of Molecular Pathogenetics, Institute of Biotechnology Czech Academy of Sciences (CAS), Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University in Vestec (BIOCEV), Vestec, Czechia.
Eliska ValaskovaLaboratory of Reproductive Biology, Institute of Biotechnology Czech Academy of Sciences (CAS), Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University in Vestec (BIOCEV), Vestec, Czechia.
Hasmik MargaryanLaboratory of Reproductive Biology, Institute of Biotechnology Czech Academy of Sciences (CAS), Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University in Vestec (BIOCEV), Vestec, Czechia.
Fatima ElzeinovaLaboratory of Reproductive Biology, Institute of Biotechnology Czech Academy of Sciences (CAS), Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University in Vestec (BIOCEV), Vestec, Czechia.
Alena KubatovaLaboratory of Reproductive Biology, Institute of Biotechnology Czech Academy of Sciences (CAS), Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University in Vestec (BIOCEV), Vestec, Czechia.
Simona HylmarovaLaboratory of Molecular Pathogenetics, Institute of Biotechnology Czech Academy of Sciences (CAS), Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University in Vestec (BIOCEV), Vestec, Czechia.
Jana PeknicovaLaboratory of Reproductive Biology, Institute of Biotechnology Czech Academy of Sciences (CAS), Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University in Vestec (BIOCEV), Vestec, Czechia.
Gabriela PavlinkovaLaboratory of Molecular Pathogenetics, Institute of Biotechnology Czech Academy of Sciences (CAS), Biotechnology and Biomedicine Center of the Academy of Sciences and Charles University in Vestec (BIOCEV), Vestec, Czechia.
Charles University · CZCzech Academy of Sciences · CZCzech Academy of Sciences, Institute of Biotechnology · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a chronic metabolic disorder characterized by hyperglycemia and associated with many health complications due to the long-term damage and dysfunction of various organs. A consequential complication of diabetes in men is reproductive dysfunction, reduced fertility, and poor reproductive outcomes. However, the molecular mechanisms responsible for diabetic environment-induced sperm damage and overall decreased reproductive outcomes are not fully established. We evaluated the effects of type 2 diabetes exposure on the reproductive system and the reproductive outcomes of males and their male offspring, using a mouse model. We demonstrate that paternal exposure to type 2 diabetes mediates intergenerational and transgenerational effects on the reproductive health of the offspring, especially on sperm quality, and on metabolic characteristics. Given the transgenerational impairment of reproductive and metabolic parameters through two generations, these changes likely take the form of inherited epigenetic marks through the germline. Our results emphasize the importance of improving metabolic health not only in women of reproductive age, but also in potential fathers, in order to reduce the negative impacts of diabetes on subsequent generations.

Indexed as

PhenotypeAnimalsDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2Diet, High-FatFemaleInfertilityMaleMiceMice, Inbred C57BLPaternal InheritancePregnancySpermatozoaStreptozocinStreptozocindiabetesfertilityGAPDSmolecular biomarkersoffspringspermTERAtestes

Identifiers

PMID34803926
PMCPMC8602877
OpenAlexW3213894178

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.