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Spinal stiffness assessment by shear wave imaging in a genetic zebrafish scoliosis model treated with anti-inflammatory medication

2023· article· en· W4378648957 on OpenAlexaffabout
Josh Gopaul, Jenica Van Gennip, Jérôme Baranger, Nigel Griffiths, Brian Ciruna, Olivier Villemain

Bibliographic record

VenuePhysiology · 2023
Typearticle
Languageen
FieldMedicine
TopicUltrasound Imaging and Elastography
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsZebrafishScoliosisIn vivoMedicineBiomedical engineeringChemistryAnatomySurgeryBiologyBiochemistryGeneticsGene

Abstract

fetched live from OpenAlex

Background: Idiopathic scoliosis (IS) is a disease characterized by an abnormal lateral curvature of the spine that affects up to 4% of the population. Recent models in zebrafish have elucidated genetic variants which contribute to scoliotic curvature through mechanisms of neuroinflammation, and oxidative stress. Additionally, in-vivo clinical studies have demonstrated that spinal structures stiffen in patients with IS. Shear wave elastography (SWE) is novel, non-invasive imaging technique used to quantitatively estimate tissue stiffness. Objective: Here, we investigated spinal stiffness using SWE in genetically mutant zebrafish with a heterozygous scoliosis variant ( dmh4/+) treated with N-acetylcysteine ethyl ester (NACET), a potent anti-oxidant and anti-inflammatory medication which has been demonstrated to reduce scoliosis curvature formation in zebrafish by up to 70%. Hypothesis: Compared to wildtype, spinal stiffness will increase in dmh4/+ zebrafish and there will be no difference in stiffness for NACET treated zebrafish. Methods: Wildtype (WT; n=20) and mutant ( dmh4/+; n=20) zebrafish aged 10 days post fertilization (dpf) (n=10 & n=10 treated with 500 μM of NACET), 16 dpf (n=10), and 21 dpf (n=10) were sacrificed and submerged in a dish containing 2% low melt agarose gel. An 18.75 MHz linear ultrasound probe was clamped to the dish apparatus dorsal to the zebra fish. Spinal stiffness was assessed by SWE, where faster shear wave velocities (SWV) represent stiffer tissue. The SWV data was processed using a well-verified, custom SWE analysis program on MATLAB by a n operator blinded to the zebrafish genotypes. Results: The spinal curvature of dmh4/+ zebrafish aged 10 dpf were morphologically indistinguishable from WT zebrafish aged 10 dpf. SWV was significantly increased in dmh4/+ zebrafish aged 10 dpf compared to WT (p<0.05). There was no difference in SWV between NACET treated dmh4/+ and NACET treated WT zebrafish aged 10 dpf (p>0.05). Furthermore, NACET treated dmh4/+ and WT zebrafish aged 10 dpf exhibited no difference in SWV compared to untreated WT zebrafish aged 10 dpf (p>0.05). Additionally, SWV was significantly increased in dmh4/+ zebrafish aged 16 and 21 dpf compared to WT (p<0.05). Conclusion: Here we demonstrate that spinal stiffness increases in zebrafish with scoliosis before the curvature pheno type is present and this increase in stiffness is sustained throughout development in later ages. Additionally, spinal stiffness in scoliosis is reduced following treatment with NACET. Our results provide evidence to support clinical trials assessing stiffness as preclinical diagnostic criteria for IS in children. Biotalent Canada - public grant This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.269
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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