Evidence map›Paper›PMID 36450785›Full record

ArticleScientific data2022

Mechanical Unloading of Engineered Human Meniscus Models Under Simulated Microgravity: A Transcriptomic Study.

Zhiyao Ma, David Xinzheyang Li, Ryan K W Chee, Melanie Kunze, Aillette Mulet-Sierra, Mark Sommerfeldt, Lindsey Westover, Daniel Graf, Adetola B Adesida

Erratum issuedOpen access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2022. 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Zhiyao Ma *Department of Surgery, Division of Orthopaedic Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
David Xinzheyang Li *Department of Surgery, Division of Orthopaedic Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, T6G 2E1, Canada.ORCID http://orcid.org/0000-0002-1028-8445
Ryan K W Chee *Department of Surgery, Division of Orthopaedic Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
Melanie KunzeDepartment of Surgery, Division of Orthopaedic Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
Aillette Mulet-SierraDepartment of Surgery, Division of Orthopaedic Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
Mark SommerfeldtDepartment of Surgery, Division of Orthopaedic Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
Lindsey WestoverDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Daniel GrafSchool of Dentistry, University of Alberta, Edmonton, AB, Canada.ORCID http://orcid.org/0000-0003-1163-8117
Adetola B AdesidaDepartment of Surgery, Division of Orthopaedic Surgery, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, T6G 2E1, Canada. adesida@ualberta.ca.ORCID http://orcid.org/0000-0003-1798-6251
University of Alberta · CA

Funding

Alberta Cancer Foundation ACF-MIBRP 27128 AdesidaAlberta Innovates | Alberta Innovates - Health Solutions (AIHS) Summer StudentshipCanada Foundation for Innovation (Fondation canadienne pour l'innovation) CFI 33786Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) CIHR MOP 125921 AdesidaGouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) NSERC RGPIN-2018-06290 AdesidaGouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) NSERC RTI-2019-00310 AdesidaGouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) Undergraduate Student Research AwardsWomen and Children's Health Research Institute (Women & Children's Health Research Institute) Summer StudentshipWomen and Children's Health Research Institute (Women & Children's Health Research Institute) UOFAB WCHRIIG 3126Women and Children's Health Research Institute (Women & Children's Health Research Institute) WCHRI Summer Studentship
6 · The paper itself

Abstract

Osteoarthritis (OA) primarily affects mechanical load-bearing joints, with the knee being the most common. The prevalence, burden and severity of knee osteoarthritis (KOA) are disproportionately higher in females, but hormonal differences alone do not explain the disproportionate incidence of KOA in females. Mechanical unloading by spaceflight microgravity has been implicated in OA development in cartilaginous tissues. However, the mechanisms and sex-dependent differences in OA-like development are not well explored. In this study, engineered meniscus constructs were generated from healthy human meniscus fibrochondrocytes (MFC) seeded onto type I collagen scaffolds and cultured under normal gravity and simulated microgravity conditions. We report the whole-genome sequences of constructs from 4 female and 4 male donors, along with the evaluation of their phenotypic characteristics. The collected data could be used as valuable resources to further explore the mechanism of KOA development in response to mechanical unloading, and to investigate the molecular basis of the observed sex differences in KOA.

Indexed as

MeniscusOsteoarthritis, KneeTranscriptomeFemaleHumansKnee JointMaleWeightlessness

Identifiers

PMID36450785
PMCPMC9712603
OpenAlexW4310699919

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.