Evidence map›Paper›PMID 28810820›Full record

ArticleTissue engineering. Part C, Methods2017

Quantitative, Label-Free Evaluation of Tissue-Engineered Skeletal Muscle Through Multiphoton Microscopy.

Brian C Syverud, Mary-Ann Mycek, Lisa M Larkin

Abstract read
In one paragraph

Article in Tissue engineering. Part C, Methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Brian C Syverud1 Department of Biomedical Engineering, University of Michigan , Ann Arbor, Michigan.
Mary-Ann Mycek1 Department of Biomedical Engineering, University of Michigan , Ann Arbor, Michigan.
Lisa M Larkin1 Department of Biomedical Engineering, University of Michigan , Ann Arbor, Michigan.

Funding

Utilization of Engineered Skeletal Muscle Units to Repair Volumetric MuscleR01AR067744 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LARKIN, LISA M · 2015 to 2019
$2.3M
NIAMS NIH HHS R01 AR067744
6 · The paper itself

Abstract

The lack of tools for assessing engineered tissue viability and function in a noninvasive manner is a major regulatory and translational challenge facing tissue engineers. Label-free, nonlinear optical molecular imaging (OMI) has utilized endogenous nicotinamide adenine dinucleotide and flavin adenine dinucleotide fluorescence to indicate metabolic activity. Similarly, second harmonic generation (SHG) signals from myosin and collagen can measure overall muscle structural integrity and function. The purpose of this study was to demonstrate these OMI techniques for the first time in engineered skeletal muscle and to develop a novel method for evaluating our engineered skeletal muscle units (SMUs) before implantation. Three experimental groups were studied: Control, Steroid Supplemented, and Metabolically Stressed SMUs. After imaging and analysis in ImageJ, a redox ratio (RR) metric was calculated to indicate metabolic activity, and a structure ratio metric was calculated to reflect structural composition. In addition, function was evaluated as tetanic force production in response to electrical stimulation. In living tissues, the RRs successfully distinguished control and metabolically stressed SMUs in both monolayer and 3D form. OMI of myosin and collagen SHG similarly differentiated control SMUs from the steroid supplemented group. With respect to function, steroid supplementation significantly increased active force generation. When comparing functional and OMI measures, a significant correlation was present between overall myosin density and active force generation. This work demonstrates the potential for using label-free OMI to evaluate tissue-engineered skeletal muscle constructs. The positive correlation between structural OMI measures and force production suggests that OMI could potentially serve as an accurate predictor of functional behaviors, such as integration and tissue regeneration, after implantation. This noninvasive OMI methodology, demonstrated for the first time in engineered skeletal muscle, could prove invaluable for assessing our tissue engineering technology and confirming release criteria for validation.

Indexed as

Staining and LabelingAnimalsCollagenFemaleFlavin-Adenine DinucleotideMicroscopy, Fluorescence, MultiphotonMolecular ImagingMuscle ContractionMuscle, SkeletalMyosinsNADOptical ImagingRats, Inbred F344Signal Processing, Computer-AssistedTissue EngineeringCollagenFlavin-Adenine DinucleotideMyosinsNADoptical molecular imagingskeletal muscletissue engineeringtwo-photon imaging

Identifiers

PMID28810820
PMCPMC5653135

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.