Evidence map›Paper›PMID 40576868›Full record

ReviewAnatomical science international2025

Genetic tools for imaging microcirculation via plasma labeling.

Xiaowen Wang, Marta Vittani, Ashley Bomin Lee, Philip Gade Knak, Hajime Hirase

Abstract readReview
PubMed Publisher
In one paragraph

Review in Anatomical science international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Xiaowen WangCenter for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Marta VittaniCenter for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Ashley Bomin LeeCenter for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Philip Gade KnakCenter for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Hajime HiraseCenter for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. hirase@sund.ku.dk.ORCID http://orcid.org/0000-0003-3806-6905

Funding

Lundbeck Foundation R436-2023-1219National Institutes of Health (US) U19NS128613
6 · The paper itself

Abstract

Cerebral microcirculation is a critical infrastructure for brain function, delivering energy substrates and clearing metabolic byproducts. Disruptions in vascular dynamics contribute to neurodegenerative diseases, stroke, and cognitive impairments. Traditional blood labeling methods for fluorescence imaging, such as fluorescent dextran injection, have advanced our understanding of microcirculation but are limited for long-term imaging. In this mini review, we introduce two recently developed molecular genetic techniques, achieved by recombinant adeno-associated virus (AAV)-mediated plasma label expression or genomic knock-in that enable stable, long-term microcirculation imaging. These AAV-mediated methods require only a single systemic injection, facilitating longitudinal imaging of microcirculation in mouse models of disease. We discuss the fundamental design concepts of these approaches and explore their potential applications in systems biology.

Indexed as

BrainCerebrovascular CirculationMicrocirculationAnimalsDependovirusGene Knock-In TechniquesHumansMiceAAV-mediated knock-inAdeno-associated virusAlbuminCRISPR-Cas9Fluorescence imagingFluorescent protein

Identifiers

PMID40576868

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.