Evidence map›Paper›PMID 37988134›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2024

Using digital pathology to analyze the murine cerebrovasculature.

Dana M Niedowicz, Jenna L Gollihue, Erica M Weekman, Panhavuth Phe, Donna M Wilcock, Christopher M Norris, Peter T Nelson

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Dana M NiedowiczSanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA.ORCID 0000-0002-1052-898X
Jenna L GollihueSanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Erica M WeekmanStark Neurosciences Research Institute, Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.
Panhavuth PheSanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Donna M WilcockStark Neurosciences Research Institute, Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.
Christopher M NorrisSanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Peter T NelsonSanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA.

Funding

Strategies for Targeting Astrocyte Reactivity in Alzheimer's Disease and Related DementiasP01AG078116 · NIA · UNIVERSITY OF KENTUCKY · PI PETER T. NELSON · 2022 to 2026
$25.0M
University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
Safety and modulation of ABCC9 pathways by nicorandil for the treatment of hippocampal sclerosis of aging (SMArT–HS)R01AG061111 · NIA · UNIVERSITY OF KENTUCKY · PI JICHA, GREGORY A, NELSON, PETER T. · 2019 to 2025
$3.6M
Calcineurin and inflammatory signaling processes in aging and Alzheimer's DiseaseRF1AG027297 · NIA · UNIVERSITY OF KENTUCKY · PI NORRIS, CHRISTOPHER MARK · 2018 to 2022
$2.6M
Novel pathogenetic mechanism for hippocampal sclerosis, a common Alzheimers mimicR01AG057187 · NIA · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2017 to 2021
$2.2M
nvestigating the role of neuroinflammation in Limbic-predominant age related TDP43 encephalopathyK08AG065463 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FLANAGAN, MARGARET E · 2020 to 2024
$816k
Age-related TDP-43 neuropathology: using disease-driving mechanisms to guide classificationR01NS118584 · NINDS · METHODIST HOSPITAL RESEARCH INSTITUTE · PI CYKOWSKI, MATTHEW DANIEL, NELSON, PETER T. · 2024 to 2024
$791k
Testing a therapeutic strategy for hippocampal sclerosis of aging, a key AD mimicR21AG050146 · NIA · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2016 to 2017
$414k
Aperio ScanScope XT Digital Slide Scanner SystemS10RR026489 · NCRR · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2011 to 2011
$284k
NCRR NIH HHS S10 RR026489NIA NIH HHS K08 AG065463NIA NIH HHS P01 AG078116NIA NIH HHS P30 AG072946NIA NIH HHS R01 AG057187NIA NIH HHS R01 AG061111NIA NIH HHS R21 AG050146NIA NIH HHS RF1 AG027297NINDS NIH HHS R01 NS118584
6 · The paper itself

Abstract

Research on the cerebrovasculature may provide insights into brain health and disease. Immunohistochemical staining is one way to visualize blood vessels, and digital pathology has the potential to revolutionize the measurement of blood vessel parameters. These tools provide opportunities for translational mouse model research. However, mouse brain tissue presents a formidable set of technical challenges, including potentially high background staining and cross-reactivity of endogenous IgG. Formalin-fixed paraffin-embedded (FFPE) and fixed frozen sections, both of which are widely used, may require different methods. In this study, we optimized blood vessel staining in mouse brain tissue, testing both FFPE and frozen fixed sections. A panel of immunohistochemical blood vessel markers were tested (including CD31, CD34, collagen IV, DP71, and VWF), to evaluate their suitability for digital pathological analysis. Collagen IV provided the best immunostaining results in both FFPE and frozen fixed murine brain sections, with highly-specific staining of large and small blood vessels and low background staining. Subsequent analysis of collagen IV-stained sections showed region and sex-specific differences in vessel density and vessel wall thickness. We conclude that digital pathology provides a useful tool for relatively unbiased analysis of the murine cerebrovasculature, provided proper protein markers are used.

Indexed as

BrainCollagenAnimalsFemaleMaleMiceParaffin EmbeddingCollagenAperio ScanScopearteriolosclerosisimmunohistochemistrymicrovesselVCID

Identifiers

PMID37988134
PMCPMC10981399

What Socratic 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 Socratic graph.