Evidence map›Paper›PMID 31350349›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

In vivo imaging reveals transient microglia recruitment and functional recovery of photoreceptor signaling after injury.

Eric B Miller, Pengfei Zhang, Karli Ching, Edward N Pugh, Marie E Burns

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

55 citing papers in PubMed, 89 citations in OpenAlex.

  1. 100-degree Non-Contact Retinal Imaging in Mice Using a Multimodal Vis-OCT and SLO System.IEEE photonics technology letters : a publication of the IEEE Laser and Electro-optics Society · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Transpupillary in vivo two-photon imaging reveals enhanced surveillance of retinal microglia in diabetic mice.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Frontiers in ophthalmology · 2025
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Non-invasiveFrontiers in cellular neuroscience · 2024
    Review
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 at 1 institution in 1 country.

Eric B MillerCenter for Neuroscience, University of California, Davis, CA 95616.
Pengfei ZhangDepartment of Cell Biology and Human Anatomy, University of California, Davis, CA 95616.
Karli ChingCenter for Neuroscience, University of California, Davis, CA 95616.
Edward N PughDepartment of Cell Biology and Human Anatomy, University of California, Davis, CA 95616.
Marie E BurnsCenter for Neuroscience, University of California, Davis, CA 95616; meburns@ucdavis.edu.ORCID 0000-0003-3766-2780
University of California, Davis · US

Funding

VISION RESEARCH CORE GRANTP30EY012576 · NEI · UNIVERSITY OF CALIFORNIA DAVIS · PI LISA M OAKES · 1999 to 2026
$18.9M
UC Davis MCB T32 Administrative Supplement to Recognize Excellence in Diversity, Equity, Inclusion, and Accessibility (DEIA) MentorshipT32GM007377 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI CHEDIN, FREDERIC LOUIS · 1985 to 2023
$9.9M
Deactivation Mechanisms of Rod PhototransductionR01EY014047 · NEI · UNIVERSITY OF CALIFORNIA DAVIS · PI BURNS, MARIE E · 2002 to 2020
$8.5M
Vision Science Training Program: Cornea to CortexT32EY015387 · NEI · UNIVERSITY OF CALIFORNIA DAVIS · PI MARIE E BURNS · 2003 to 2026
$4.8M
Microglial Activation during Photoreceptor DegenerationR01EY024320 · NEI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BURNS, MARIE E · 2015 to 2024
$3.7M
NEI NIH HHS P30 EY012576NEI NIH HHS R01 EY014047NEI NIH HHS R01 EY024320NEI NIH HHS T32 EY015387NIGMS NIH HHS T32 GM007377
6 · The paper itself

Abstract

Microglia respond to damage and microenvironmental changes within the central nervous system by morphologically transforming and migrating to the lesion, but the real-time behavior of populations of these resident immune cells and the neurons they support have seldom been observed simultaneously. Here, we have used in vivo high-resolution optical coherence tomography (OCT) and scanning laser ophthalmoscopy with and without adaptive optics to quantify the 3D distribution and dynamics of microglia in the living retina before and after local damage to photoreceptors. Following photoreceptor injury, microglia migrated both laterally and vertically through the retina over many hours, forming a tight cluster within the area of visible damage that resolved over 2 wk. In vivo OCT optophysiological assessment revealed that the photoreceptors occupying the damaged region lost all light-driven signaling during the period of microglia recruitment. Remarkably, photoreceptors recovered function to near-baseline levels after the microglia had departed the injury locus. These results demonstrate the spatiotemporal dynamics of microglia engagement and restoration of neuronal function during tissue remodeling and highlight the need for mechanistic studies that consider the temporal and structural dynamics of neuron-microglia interactions in vivo.

Indexed as

Diagnostic ImagingSignal TransductionAnimalsCell MovementGliosisLightMice, Inbred C57BLMicrogliaPhotoreceptor Cells, VertebrateRecovery of FunctionRetinaTime FactorsTomography, Optical Coherenceimaginglasermicrogliaphotoreceptorretina

Identifiers

PMID31350349
PMCPMC6697899
OpenAlexW2964610581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.