Evidence map›Paper›PMID 38854151›Full record

ArticlebioRxiv : the preprint server for biology2025

Photoreceptor loss does not recruit neutrophils despite strong microglial activation.

Derek Power, Justin Elstrott, Jesse Schallek

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

3 authors.

Derek PowerCenter for Visual Science, University of Rochester, Rochester, NY 14627, USA.ORCID 0000-0002-3362-1589
Justin ElstrottDepartment of Translational Imaging, Genentech Inc., South San Francisco, CA 94080, USA.
Jesse SchallekCenter for Visual Science, University of Rochester, Rochester, NY 14627, USA.ORCID 0000-0002-6337-4187

Funding

VISUAL SCIENCE RESEARCH CTR SUPPORTP30EY001319 · NEI · UNIVERSITY OF ROCHESTER · PI MICHELE RUCCI · 1985 to 2026
$17.5M
Non-invasive, living histology of capillary structure and single cell blood flow in mouse model of diabetic retinopathyR01EY028293 · NEI · UNIVERSITY OF ROCHESTER · PI SCHALLEK, JESSE BARRETT · 2017 to 2025
$4.2M
NEI NIH HHS P30 EY001319NEI NIH HHS R01 EY028293
6 · The paper itself

Abstract

In response to central nervous system (CNS) injury, tissue resident immune cells such as microglia and circulating systemic neutrophils are often first responders. The degree to which these cells interact in response to CNS damage is poorly understood, and even less so, in the neural retina which poses a challenge for high resolution imaging in vivo. In this study, we deploy fluorescence adaptive optics scanning light ophthalmoscopy (AOSLO) to study microglia and neutrophils in mice. We simultaneously track immune cell dynamics using label-free phase-contrast AOSLO at micron-level resolution. Retinal lesions were induced with 488 nm light focused onto photoreceptor (PR) outer segments. These lesions focally ablated PRs, with minimal collateral damage to cells above and below the plane of focus. We used in vivo (AOSLO, SLO and OCT) imaging to reveal the natural history of the microglial and neutrophil response from minutes-to-months after injury. While microglia showed dynamic and progressive immune response with cells migrating into the injury locus within 1-day after injury, neutrophils were not recruited despite close proximity to vessels carrying neutrophils only microns away. Post-mortem confocal microscopy confirmed in vivo findings. This work illustrates that microglial activation does not recruit neutrophils in response to acute, focal loss of PRs, a condition encountered in many retinal diseases.

Identifiers

PMID38854151
PMCPMC11160676

What Socratic holds

Textmetadata
LicenceCC BY
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.