Evidence map›Paper›PMID 35907038›Full record

ArticleJournal of experimental orthopaedics2022

Anterior cruciate ligament microfatigue damage detected by collagen autofluorescence in situ.

Jinhee Kim, So Young Baek, Stephen H Schlecht, Mélanie L Beaulieu, Lindsay Bussau, Junjie Chen, James A Ashton-Miller, Edward M Wojtys, Mark M Banaszak Holl

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.6field-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

14 citing papers in PubMed, 25 citations in OpenAlex.

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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 4 institutions in 2 countries.

Jinhee KimDepartment of Chemical & Biological Engineering, Monash University, Melbourne, Australia.
So Young BaekDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.
Stephen H SchlechtDepartment of Orthopaedic Surgery, Indiana University School of Medicine, Indianapolis, IN, USA.
Mélanie L BeaulieuDepartment of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA.
Lindsay BussauOptiscan, Mulgrave, VIC, Australia.
Junjie ChenDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
James A Ashton-MillerDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA. jaam@umich.edu.
Edward M WojtysDepartment of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA. edwojtys@med.umich.edu.
Mark M Banaszak HollDepartment of Chemical & Biological Engineering, Monash University, Melbourne, Australia. mark.banaszakholl@monash.edu.ORCID http://orcid.org/0000-0001-7759-7456
University of Michigan · USIndiana University School of MedicineMonash University · AUOptiScan (United States) · US

Funding

New Perspectives on ACL InjuryR01AR054821 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ASHTON-MILLER, JAMES ANTHONY, WOJTYS, EDWARD M · 2007 to 2021
$3.1M
NIAMS NIH HHS R01 AR054821NIH HHS AR054821
6 · The paper itself

Abstract

purposeCertain types of repetitive sub-maximal knee loading cause microfatigue damage in the human anterior cruciate ligament (ACL) that can accumulate to produce macroscopic tissue failure. However, monitoring the progression of that ACL microfatigue damage as a function of loading cycles has not been reported. To explore the fatigue process, a confocal laser endomicroscope (CLEM) was employed to capture sub-micron resolution fluorescence images of the tissue in situ. The goal of this study was to quantify the in situ changes in ACL autofluorescence (AF) signal intensity and collagen microstructure as a function of the number of loading cycles.

methodsThree paired and four single cadaveric knees were subjected to a repeated 4 times bodyweight landing maneuver known to strain the ACL. The paired knees were used to compare the development of ACL microfatigue damage on the loaded knee after 100 consecutive loading cycles, relative to the contralateral unloaded control knee, through second harmonic generation (SHG) and AF imaging using confocal microscopy (CM). The four single knees were used for monitoring progressive ACL microfatigue damage development by AF imaging using CLEM.

resultsThe loaded knees from each pair exhibited a statistically significant increase in AF signal intensity and decrease in SHG signal intensity as compared to the contralateral control knees. Additionally, the anisotropy of the collagen fibers in the loaded knees increased as indicated by the reduced coherency coefficient. Two out of the four single knee ACLs failed during fatigue loading, and they exhibited an order of magnitude higher increase in autofluorescence intensity per loading cycle as compared to the intact knees. Of the three regions of the ACL - proximal, midsubstance and distal - the proximal region of ACL fibers exhibited the highest AF intensity change and anisotropy of fibers.

conclusionsCLEM can capture changes in ACL AF and collagen microstructures in situ during and after microfatigue damage development. Results suggest a large increase in AF may occur in the final few cycles immediately prior to or at failure, representing a greater plastic deformation of the tissue. This reinforces the argument that existing microfatigue damage can accumulate to induce bulk mechanical failure in ACL injuries. The variation in fiber organization changes in the ACL regions with application of load is consistent with the known differences in loading distribution at the ACL femoral enthesis.

Indexed as

Anterior cruciate ligamentCollagen autofluorescenceConfocal laser endomicroscopyMicrofatigue damageNon-contact ACL injuries

Identifiers

PMID35907038
PMCPMC9339057
OpenAlexW4288758445

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.