Evidence map›Paper›PMID 32810483›Full record

ArticleExperimental eye research2020

A pathoconnectome of early neurodegeneration: Network changes in retinal degeneration.

Rebecca L Pfeiffer, James R Anderson, Jeebika Dahal, Jessica C Garcia, Jia-Hui Yang, Crystal L Sigulinsky, Kevin Rapp, Daniel P Emrich, Carl B Watt, Hope Ab Johnstun and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Experimental eye research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

37 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Spontaneous whole retinal degeneration in aged Beclin1 heterozygous mice.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Article
  3. Article
  4. Article
  5. Optogenetic vision restoration in the face of secondary and tertiary remodeling in the rd1 mouse retina.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  6. Article
  7. Review
  8. A synthetic opsin restores vision in patients with severe retinal degeneration.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  9. Article
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  14. Review
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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

13 authors at 1 institution in 1 country.

Rebecca L PfeifferJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA. Electronic address: r.pfeiffer@utah.edu.
James R AndersonJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA.
Jeebika DahalJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA.
Jessica C GarciaJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA.
Jia-Hui YangJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA.
Crystal L SigulinskyJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA.
Kevin RappJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA.
Daniel P EmrichJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA.
Carl B WattJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA.
Hope Ab JohnstunJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA.
Alexis R HouserJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA.
Robert E MarcJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA; Signature Immunologics, Torrey, UT, USA.
Bryan W JonesJohn Moran Eye Center at the University of Utah, Salt Lake City, UT, USA. Electronic address: bryan.jones@m.cc.utah.edu.
University of Utah · US

Funding

University of Utah, Core Vision Research GrantP30EY014800 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI PAUL STEVEN BERNSTEIN · 2005 to 2026
$14.6M
Retinal RemodelingR01EY015128 · NEI · UNIVERSITY OF UTAH · PI JONES, BRYAN WILLIAM · 2004 to 2021
$7.0M
Retinal CircuitryR01EY028927 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Bryan William Jones · 2019 to 2026
$5.2M
Vision Research Training Grant at the University of UtahT32EY024234 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI DAVID KRIZAJ, Monica L Vetter · 2014 to 2026
$2.3M
NEI NIH HHS P30 EY014800NEI NIH HHS R01 EY015128NEI NIH HHS R01 EY028927NEI NIH HHS T32 EY024234
6 · The paper itself

Abstract

Connectomics has demonstrated that synaptic networks and their topologies are precise and directly correlate with physiology and behavior. The next extension of connectomics is pathoconnectomics: to map neural network synaptology and circuit topologies corrupted by neurological disease in order to identify robust targets for therapeutics. In this report, we characterize a pathoconnectome of early retinal degeneration. This pathoconnectome was generated using serial section transmission electron microscopy to achieve an ultrastructural connectome with 2.18nm/px resolution for accurate identification of all chemical and gap junctional synapses. We observe aberrant connectivity in the rod-network pathway and novel synaptic connections deriving from neurite sprouting. These observations reveal principles of neuron responses to the loss of network components and can be extended to other neurodegenerative diseases.

Indexed as

Amacrine CellsAnimalsConnectomeDisease Models, AnimalGap JunctionsRabbitsRetinal DegenerationRetinal Rod Photoreceptor CellsSynapsesAbnormal ribbon morphologyConnectomicsGABAergic amacrine cellsNeurodegenerationPathoconnectomicsRetinal degenerationRetinitis pigmentosaRod pathway

Identifiers

PMID32810483
PMCPMC7554222
OpenAlexW3049628356

What OpenQuestion holds

Textmetadata
LicenceTDM
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.