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Longitudinal capillary heterogeneity: Implications for active hyperaemia

2025· article· en· W4411847292 on OpenAlexaff
Mackenzie Charter, Barbara Hyde-Lay, Coral L. Murrant

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHyperaemiaCapillary actionBiologyMedicineInternal medicineBlood flowGeography

Abstract

fetched live from OpenAlex

Active hyperaemia is a process where blood flow is increased to metabolically active cells within a tissue. In skeletal muscle, capillaries are critical in sensing skeletal muscle activity and coordinating the vascular response to direct blood flow to contracting muscle fibres during active hyperaemia. There is evidence to suggest that capillary endothelial cells (ECs) are not a homogenous set of cells and that their characteristics may change along the length of a capillary (Mrazkova et al, 1986). This longitudinal heterogeneity may have implications on capillary function with respect to their role in active hyperemia. Therefore, we sought to determine whether EC characteristics differed along the length of a capillary. We perfused 5 female and 6 male CD-1 mice with fluorescently labelled Wheat Germ Agglutinin (WGA) and GS-1 Isolectin (ISO), two lectin stains that target different components of the EC glycocalyx, WGA binding to N-acetylglucosamine and N-acetylneuraminic acid and ISO targeting a-D-galactosyl residues. We used fluorescence microscopy to view microvascular networks in whole mounts of gluteus maximus (GM), diaphragm (DIA), soleus (SOL), extensor digitorum longus (EDL), and cremaster (CRE) muscles. All muscles were excised and pinned at optimal length and the fluorescence intensity of each stain along the first 200µm of capillaries was measured. We observed that WGA stained the entire vascular network including capillaries across their entire length in all muscles and both females and males. ISO only stained arterioles and very early capillaries and staining was not visible in late capillaries or veins. The brightness of both WGA and ISO decreased significantly along the capillaries, with ISO becoming significantly dimmer than WGA. WGA fluorescence intensity decreased across the first 200um of the capillary by 30.9 ± 2.5% in GM, 11.5 ± 4.0% in DIA, 7.6 ± 2.9% in EDL and 13.1 ± 4.0% in SOL in females while fluorescence intensity decreased by 22.9 ± 3.5% in GM, 16.3 ± 3.3% in DIA, 17.5 ± 3.5% in EDL, 12.0 ± 4.9 in SOL and 18.5 ± 5.1% in CRE in males. ISO fluorescence intensity decreased by 52.8 ± 3.2% in GM, 52.3 ± 3.4% in DIA, 24.9 ± 6.1% in EDL and 41.2 ± 4.2% in SOL respectively in females while it decreased 56.8 ± 3.4% in GM, 57.2 ± 4.0% in DIA, 45.3 ± 3.5% in EDL, 35.0 ± 3.7% in SOL and 53.1 ± 4.1% in CRE in males. There were no differences in the brightness of WGA between muscles in males, however, there were significant differences between muscles in the brightness of ISO in males. Further, there were significant differences in the decrease in brightness between muscles in both WGA and ISO in females. There were also sex differences between females and males. GM, DIA, and SOL all maintained consistent brightness between males and females for both WGA and ISO while EDL brightness was significantly different for both. These data show that the capillary glycocalyx changes along the length of a capillary. More broadly, these data support the suggestion that capillary ECs are heterogeneous along the length of a capillary. This longitudinal heterogeneity could have important implications for how capillaries sense skeletal muscle activity and coordinate vascular responses during active hyperaemia. NSERC This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.335
Teacher spread0.306 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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