Evidence map›Paper›PMID 42568181›Full record

ArticlePhysiological reports2026

Contrast enhanced ultrasound and laser doppler flowmetry capture distinct aspects of tissue microvascular perfusion in nonhuman primates.

Emily Attrill, Shannon Krainiak, McKinley Santiago, Kylie Kavanagh

Abstract read
In one paragraph

Article in Physiological reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

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4 · The record

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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

4 authors.

Emily AttrillDepartment of Pathology, Wake Forest University School of Medicine (WFUSM), Winston-Salem, North Carolina, USA.ORCID https://orcid.org/0000-0002-2047-0590
Shannon KrainiakDepartment of Pathology, Wake Forest University School of Medicine (WFUSM), Winston-Salem, North Carolina, USA.ORCID https://orcid.org/0009-0008-9139-0468
McKinley SantiagoDepartment of Pathology, Wake Forest University School of Medicine (WFUSM), Winston-Salem, North Carolina, USA.
Kylie KavanaghDepartment of Pathology, Wake Forest University School of Medicine (WFUSM), Winston-Salem, North Carolina, USA.

Funding

U.S. Department of Defense (DOD) W8XWH-21-1-0565
6 · The paper itself

Abstract

Microvascular perfusion in skeletal muscle (SkM) and subcutaneous adipose tissue (AT) is critical for insulin-mediated glucose uptake and is impaired in type 2 diabetes (T2D). Quantifying perfusion using contrast enhanced ultrasound (CEU) is technically challenging, prompting a need for simpler methods such as laser Doppler flowmetry (LDF). This study evaluated the relationship between LDF-derived and CEU-derived perfusion measures in SkM and subcutaneous AT of control and T2D nonhuman primates. Fourteen cynomolgus macaques (control n = 6; T2D = 8) underwent simultaneous CEU and LDF measurements at baseline and post-intravenous dextrose (300 mg/kg). CEU-derived perfusion and LDF-derived perfusion were compared across conditions in SkM and subcutaneous AT. In SkM, CEU-derived perfusion doubled post-dextrose in controls whereas this response was attenuated in T2D animals. In subcutaneous AT, CEU-derived perfusion increased post-dextrose in T2D animals. LDF did not detect significant post-dextrose changes in either tissue. There was no correlation between absolute CEU- and LDF-derived perfusion at baseline; however, the percent change in SkM perfusion was positively correlated between methods. These findings suggest that LDF should not be considered interchangeable with CEU for quantifying tissue microvascular perfusion but may provide complementary information about relative changes in SkM perfusion when an intervention is applied to alter hemodynamics.

Indexed as

Diabetes Mellitus, Type 2Laser-Doppler FlowmetryMicrocirculationMicrovesselsMuscle, SkeletalSubcutaneous FatAnimalsContrast MediaMacaca fascicularisMaleRegional Blood FlowUltrasonographyContrast Mediaadipose tissuecontrast enhanced ultrasoundlaser doppler flowmetrymicrovascular perfusionskeletal muscletype 2 diabetes

Identifiers

PMID42568181
PMCPMC13451646

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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.