CoChat
Sign Up
Cited by 151Circadian rhythm and melatoninRetinal Development and DisordersVisual perception and processing mechanisms

The DOI matches its Crossref record; 115 of the 116 references it cites were found in a registry or an index, and 1 are not checked yet.

Intrinsically Photosensitive Retinal Ganglion Cells of the Human Retina

Open access
Mure, Ludovic S.·2021·Frontiers in Neurology
DOI 10.3389/fneur.2021.636330PMC PMC8027232
Open this paper in CoChat — free accountOpen PDF

Abstract

Light profoundly affects our mental and physical health. In particular, light, when not delivered at the appropriate time, may have detrimental effects. In mammals, light is perceived not only by rods and cones but also by a subset of retinal ganglion cells that express the photopigment melanopsin that renders them intrinsically photosensitive (ipRGCs). ipRGCs participate in contrast detection and play critical roles in non-image-forming vision, a set of light responses that include circadian entrainment, pupillary light reflex (PLR), and the modulation of sleep/alertness, and mood. ipRGCs are also found in the human retina, and their response to light has been characterized indirectly through the suppression of nocturnal melatonin and PLR. However, until recently, human ipRGCs had rarely been investigated directly. This gap is progressively being filled as, over the last years, an increasing number of studies provided descriptions of their morphology, responses to light, and gene expression. Here, I review the progress in our knowledge of human ipRGCs, in particular, the different morphological and functional subtypes described so far and how they match the murine subtypes. I also highlight questions that remain to be addressed. Investigating ipRGCs is critical as these few cells play a major role in our well-being. Additionally, as ipRGCs display increased vulnerability or resilience to certain disorders compared to conventional RGCs, a deeper knowledge of their function could help identify therapeutic approaches or develop diagnostic tools. Overall, a better understanding of how light is perceived by the human eye will help deliver precise light usage recommendations and implement light-based therapeutic interventions to improve cognitive performance, mood, and life quality.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fneur.2021.636330

Cites

115 of 116 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 ipRGCs in the mouse and human retinas. (Upper panels) Relative spectral sensitivity of the rods, cones, and ipRGCs. (Middle panels) Diagram of murine and human retinas displaying the differences regarding the morphological subtypes of ipRGCs, their IPL dendritic stratification, and outer retina photoreceptors. (Lower panels) Morphological comparison between subtypes and species. Soma and dendritic tree measurements are rounded to the closest integer. Mouse data are from Sondereker et al. (21) that compiled them from literature. Human data are from Esquiva et al. (22), Hannibal et al. (23), Liao et al. (24), and Nasir-Ahmad et al. (25). GM1, gigantic M1; dM1, displaced M1; dGM1, displaced gigantic M1; PRL, photoreceptors layer; ONL, outer nuclear layer; OPL, outer plexiform layer; INL, inner plexiform layer; IPL, inner plexiform layer; GCL, ganglion cells layer.
Figure 1 ipRGCs in the mouse and human retinas. (Upper panels) Relative spectral sensitivity of the rods, cones, and ipRGCs. (Middle panels) Diagram of murine and human retinas displaying the differences regarding the morphological subtypes of ipRGCs, their IPL dendritic stratification, and outer retina photoreceptors. (Lower panels) Morphological comparison between subtypes and species. Soma and dendritic tree measurements are rounded to the closest integer. Mouse data are from Sondereker et al. (21) that compiled them from literature. Human data are from Esquiva et al. (22), Hannibal et al. (23), Liao et al. (24), and Nasir-Ahmad et al. (25). GM1, gigantic M1; dM1, displaced M1; dGM1, displaced gigantic M1; PRL, photoreceptors layer; ONL, outer nuclear layer; OPL, outer plexiform layer; INL, inner plexiform layer; IPL, inner plexiform layer; GCL, ganglion cells layer.CC BY · PubMed Central
Figure 2 Human ipRGCs morphological subtypes. (A–C) Reconstruction and pseudocoloring of ipRGCs from three separate human retina volumes based on melanopsin immunoreactivity. Upper left subpanels illustrate the different ipRGCs detected in the volumes, their relative size, and arrangement toward each other. In the other subpanels, each ipRGC is then identified and represented separately to appreciate the details of their dendritic arborization. dM1, displaced M1; GM1, gigantic M1; dGM1, displaced gigantic M1. Scale bars: A, 100 μm; B, 80 μm; C, 50 μm [Figure adapted from Hannibal et al. (23); courtesy of Dr. J. Hannibal and Journal of Comparative Neurology].
Figure 2 Human ipRGCs morphological subtypes. (A–C) Reconstruction and pseudocoloring of ipRGCs from three separate human retina volumes based on melanopsin immunoreactivity. Upper left subpanels illustrate the different ipRGCs detected in the volumes, their relative size, and arrangement toward each other. In the other subpanels, each ipRGC is then identified and represented separately to appreciate the details of their dendritic arborization. dM1, displaced M1; GM1, gigantic M1; dGM1, displaced gigantic M1. Scale bars: A, 100 μm; B, 80 μm; C, 50 μm [Figure adapted from Hannibal et al. (23); courtesy of Dr. J. Hannibal and Journal of Comparative Neurology].CC BY · PubMed Central
Figure 3 Human ipRGCs integrate extrinsic signals. Individual examples of type 1, 2, and 3 ipRGCs' responses to increasing irradiance light pulses (gray bars, 30 s, 470 nm; from bottom to top, irradiance is 2.9 × 1011, 3.5 × 1012, 2 × 1013, and 2 × 1014 photons/cm2 per second). Red traces represent the responses of pharmacologically isolated ipRGCs, which reflect their intrinsic photosensitivity. In contrast, black traces report the responses from the same cells in the absence of synaptic blockers and thus integrating input from outer retina photoreceptors. Time course, sensitivity, and intrinsic properties of the response differ between the ipRGC subtypes. The contribution from rods/cones to the overall ipRGC responses to light also seems to be subtype-specific. Interestingly, ipRGC subtypes may receive different inputs from photoreceptors. Of note, in human, morphological and functional ipRGC subtypes are not yet fully consolidated; here, ipRGC subtypes are labeled as in the original study from which this figure is adapted (55).
Figure 3 Human ipRGCs integrate extrinsic signals. Individual examples of type 1, 2, and 3 ipRGCs' responses to increasing irradiance light pulses (gray bars, 30 s, 470 nm; from bottom to top, irradiance is 2.9 × 1011, 3.5 × 1012, 2 × 1013, and 2 × 1014 photons/cm2 per second). Red traces represent the responses of pharmacologically isolated ipRGCs, which reflect their intrinsic photosensitivity. In contrast, black traces report the responses from the same cells in the absence of synaptic blockers and thus integrating input from outer retina photoreceptors. Time course, sensitivity, and intrinsic properties of the response differ between the ipRGC subtypes. The contribution from rods/cones to the overall ipRGC responses to light also seems to be subtype-specific. Interestingly, ipRGC subtypes may receive different inputs from photoreceptors. Of note, in human, morphological and functional ipRGC subtypes are not yet fully consolidated; here, ipRGC subtypes are labeled as in the original study from which this figure is adapted (55).CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 116 references

Cited by

Sorted by citations

Related

See all

Metadata

Authors
Mure, L. S.
Affiliations
University of Bern (CH)
Corresponding author
Mure, Ludovic S.
ORCID
Mure, Ludovic S.
Venue
Frontiers in Neurology
Publisher
Frontiers Media SA
Published
2021-03-25
Volume
12
Pages
636330-636330
ISSN
1664-2295 (ISSN-L)
DOI
10.3389/fneur.2021.636330
PMC
PMC8027232
OpenAlex
W3151649762
Cited by
151
References
116
Citations by year
2026: 32 · 2025: 31 · 2024: 27 · 2023: 37 · 2022: 19 · 2021: 5
FWCI
2.81
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Neurology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • BORIS (University Library Bern) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Open Access CRIS of the University of Bern
Funders
University of Bern
Topics
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
  • Health Sciences › Medicine › Ophthalmology › Retinal Development and Disorders
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Keywords
intrinsically photosensitive retinal ganglion cells, melanopsin, human retina, non-image-forming vision, circadian entrainment, pupillary light reflex, melatonin suppression, light perception, phototherapy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review