Evidence map›Paper›PMID 34039432›Full record

ArticleBiology of sex differences2021

Network analysis of the left anterior descending coronary arteries in swim-trained rats by an in situ video microscopic technique.

Marianna Török, Petra Merkely, Anna Monori-Kiss, Eszter Mária Horváth, Réka Eszter Sziva, Borbála Péterffy, Attila Jósvai, Alex Ali Sayour, Attila Oláh, Tamás Radovits and 4 more

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Article in Biology of sex differences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Marianna Török *Department of Obstetrics and Gynecology, Semmelweis University, Üllői u. 78/a, Budapest, 1082, Hungary. torok.marianna91@gmail.com.ORCID http://orcid.org/0000-0002-2832-0626
Petra Merkely *Department of Obstetrics and Gynecology, Semmelweis University, Üllői u. 78/a, Budapest, 1082, Hungary.
Anna Monori-KissInstitute of Clinical Experimental Research, Semmelweis University, Tűzoltó u. 37-47, Budapest, 1094, Hungary.
Eszter Mária HorváthDepartment of Physiology, Semmelweis University, Tűzoltó u. 37-47, Budapest, 1094, Hungary.
Réka Eszter SzivaDepartment of Obstetrics and Gynecology, Semmelweis University, Üllői u. 78/a, Budapest, 1082, Hungary.
Borbála PéterffyDepartment of Physiology, Semmelweis University, Tűzoltó u. 37-47, Budapest, 1094, Hungary.
Attila JósvaiDepartment of Neurosurgery, Military Hospital, Róbert Károly körút 44, Budapest, 1134, Hungary.
Alex Ali SayourHeart and Vascular Center, Semmelweis University, Városmajor u. 68, Budapest, 1122, Hungary.
Attila OláhHeart and Vascular Center, Semmelweis University, Városmajor u. 68, Budapest, 1122, Hungary.
Tamás RadovitsHeart and Vascular Center, Semmelweis University, Városmajor u. 68, Budapest, 1122, Hungary.
Béla MerkelyHeart and Vascular Center, Semmelweis University, Városmajor u. 68, Budapest, 1122, Hungary.
Nándor ÁcsDepartment of Obstetrics and Gynecology, Semmelweis University, Üllői u. 78/a, Budapest, 1082, Hungary.
György László NádasyDepartment of Physiology, Semmelweis University, Tűzoltó u. 37-47, Budapest, 1094, Hungary.
Szabolcs VárbíróDepartment of Obstetrics and Gynecology, Semmelweis University, Üllői u. 78/a, Budapest, 1082, Hungary.

Funding

National Heart Program NVKP_16-1-2016-0017Semmelweis Egyetem EFOP-3.6.3-VEKOP-16-2017-00009the Hungarian Hypertension Societythe National Development Agency of Hungary TÁMOP-4.2.2/B-10/1-2010-0013the National Research, Development and Innovation Office (NKFIH) of Hungary K120277the National Research, Development and Innovation Office (NKFIH) of Hungary K135076the National Research, Development and Innovation Office (NKFIH) of Hungary K32019the Semmelweis Science and Innovation Fund STIA-KF-17the Thematic Excellence Programme 2020-4.1.1.-TKP2020
6 · The paper itself

Abstract

backgroundWe aimed to identify sex differences in the network properties and to recognize the geometric alteration effects of long-term swim training in a rat model of exercise-induced left ventricular (LV) hypertrophy.

methodsThirty-eight Wistar rats were divided into four groups: male sedentary, female sedentary, male exercised and female exercised. After training sessions, LV morphology and function were checked by echocardiography. The geometry of the left coronary artery system was analysed on pressure-perfused, microsurgically prepared resistance artery networks using in situ video microscopy. All segments over > 80 μm in diameter were studied using divided 50-μm-long cylindrical ring units of the networks. Oxidative-nitrative (O-N) stress markers, adenosine A

resultsThe LV mass index, ejection fraction and fractional shortening significantly increased in exercised animals. We found substantial sex differences in the coronary network in the control groups and in the swim-trained animals. Ring frequency spectra were significantly different between male and female animals in both the sedentary and trained groups. The thickness of the wall was higher in males as a result of training. There were elevations in the populations of 200- and 400-μm vessel units in males; the thinner ones developed farther and the thicker ones closer to the orifice. In females, a new population of 200- to 250-μm vessels appeared unusually close to the orifice.

conclusionsPhysical activity and LV hypertrophy were accompanied by a remodelling of coronary resistance artery network geometry that was different in both sexes.

Indexed as

Coronary VesselsSex CharacteristicsAnimalsFemaleHypertrophy, Left VentricularMalePhysical Conditioning, AnimalRatsRats, WistarSwimmingVentricular Function, LeftExercise trainingNetworkResistance coronary arteriesSex differencesVentricular hypertrophyVideo microscopic technique

Identifiers

PMID34039432
PMCPMC8152314

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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.