Evidence map›Paper›PMID 27881669›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2017

Aerobic exercise in humans mobilizes HSCs in an intensity-dependent manner.

Jeff M Baker, Joshua P Nederveen, Gianni Parise

Open access · greenAbstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

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  15. Exercise and Cardiovascular Progenitor Cells.Comprehensive Physiology · 2019
    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

3 authors at 1 institution in 1 country.

Jeff M BakerDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada; and.
Joshua P NederveenDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada; and.
Gianni PariseDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada; and pariseg@mcmaster.ca.
McMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematopoietic stem and progenitor cells are necessary to maintain, repair, and reconstitute the hematopoietic blood cell system. Mobilization of these cells from bone marrow to blood can be greatly increased under certain conditions, one such being exercise. The purpose of this study was to identify the importance of exercise intensity in hematopoietic mobilization, to better understand the mobilization kinetics postexercise, and to determine if exercise is capable of mobilizing several specific populations of hematopoietic cells that have clinical relevance in a transplant setting. Healthy individuals were exercised on a cycle ergometer at 70% of their peak work rate (WR NEW & NOTEWORTHY: Here we demonstrate for the first time that mobilization of hematopoietic stem cells (HSCs) through exercise is intensity dependent, with the greatest mobilization occurring immediately after high-intensity exercise. As well, we show that exercise is a general stimulus for mobilization: increases in specific HSC populations are reliant on general mononuclear cell mobilization. Finally, we demonstrate no differences in mobilization between groups with different aerobic fitness.

Indexed as

AdultAntigens, CDBone MarrowExerciseFatigueFlow CytometryHematopoietic Stem CellsHumansLeukocytes, MononuclearMaleYoung AdultAntigens, CDbone marrow transplantexerciseflow cytometryhematopoietic stem cells

Identifiers

PMID27881669
PMCPMC5283849
OpenAlexW2554737394

What OpenQuestion holds

Textmetadata
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.