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Development of thin‐film micro‐outlet devices for spatially constraining local O <sub>2</sub> perturbations to capillaries

2022· article· en· W4225397117 on OpenAlexafffund
Meghan E. Kiley, Reilly H. Smith, Gaylene M. Russell McEvoy, Brenda N. Wells, Graham Fraser

Bibliographic record

VenueThe FASEB Journal · 2022
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceEnvironmental scienceMechanicsNanotechnologyPhysics

Abstract

fetched live from OpenAlex

Objective To develop and validate thin film micro‐outlet devices to study microvascular blood flow responses to localized changes in skeletal muscle oxygen concentration ([O2]). Hypothesis Oxygen mediated blood flow regulation is initiated at the capillary level through red blood cell (RBC) oxygen saturation (SO2) dependent mechanisms. Methods 10 Sprague‐Dawley rats (159‐190g) were anesthetized and instrumented to maintain cardiovascular state. The right extensor digitorum longus (EDL) muscle was blunt dissected, isolated, and reflected onto a gas exchange chamber (GEC) mounted in the stage of an inverted microscope. The GEC and EDL were coupled via a composite gas permeable membrane and a gas impermeable film fabricated with laser machined micro‐outlets of various diameters (200 μm, 400 μm, 600 μm). [O2] in the EDL was dynamically manipulated by imposing four sequential 1‐ minute [O2] oscillations between 7‐12‐2‐7% while recording intravital video for capillary RBC SO2 and hemodynamic measurement. Results O2 oscillations imposed on capillaries directly overlying 400 μm micro‐outlets caused significant changes in capillary SO2 at 12% GEC [O2], 86.72 ± 9.58%, and 2% GEC [O2], 46.36 ± 15.45%, compared to baseline 7% GEC [O2] 69.09 ± 13.94% (p&lt;0.0001). SO2 in capillaries outside the outlet and within a 100 μm distance had significant changes at 2% GEC [O2], 59.38 ± 21.49% compared to baseline 7% GEC [O2], 50.88 ± 18.81% (p&lt;0.0401). SO2 in capillaries &gt;100 μm away from the micro‐outlets were not different following the same GEC [O2] oscillations. GEC [O2] oscillations on capillaries overlying 600 μm micro‐outlets caused significant changes in capillary SO2 at 12% GEC [O2], 83.43 ± 10.18, and 2% GEC [O2], 44.52 ± 15.77%, compared to baseline 7% GEC [O2], 66.27 ± 11.83% (p&lt;0.0001). SO2 in capillaries outside 600 μm outlets were not different following GEC [O2] oscillations. GEC [O2] oscillations on capillaries overlying 400 μm micro‐outlets caused significant changes in capillary RBC supply rate (SR) at 2% GEC [O2], 11.96 ± 9.39 cells/s, compared to baseline 7%, 10.08 ± 7.69 cells/s, and were significantly different at 2% compared to 12% GEC [O2], 9.98 ± 7.99 cells/s (p&lt;0.0014). GEC [O2] oscillations with 600 μm micro‐ outlets caused significant changes in SR at 2% GEC [O2], 14.14 ± 10.52 cells/s compared to baseline 7% GEC [O2], 11.10 ± 9.37 cells/s, as well as a significant change at 2% GEC [O2], compared to 12% GEC [O2], 10.16 ± 8.88 cells/s (p&lt;0.0001). Conclusions Our composite thin‐film micro‐outlet devices were fabricated and validated to spatially confine O2 perturbations to capillaries using micro‐outlets of varying diameters. These results demonstrate that our devices can profoundly manipulate capillary SO2 and alter capillary RBC SR in vessels directly overlying the micro‐outlet without affecting capillary SO2 at distances greater than 100 μm outside the outlets. 400 μm micro‐outlets are capable of provoking significant changes in capillary SR, with larger 600 μm outlets producing a more robust response. Our novel composite thin‐film micro‐outlet devices demonstrate that regions ~400 μm in diameter must be stimulated to elicit capillary flow responses.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.020
GPT teacher head0.221
Teacher spread0.201 · 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 designBench or experimental
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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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