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Record W4403364392 · doi:10.1016/j.exer.2024.110125

Choroidal melanocyte secretome from cultured cells and tissue-engineered choroid models exposed to acute or chronic oxidative stress

2024· article· en· W4403364392 on OpenAlexafffund
Samira Karami, Solange Landreville, Stéphanie Proulx

Bibliographic record

VenueExperimental Eye Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsCentre hospitalier de l'Université LavalHôpital du Saint-Sacrement
FundersFonds de Recherche du Québec - SantéFondation des Maladies de l'Oeil
KeywordsOxidative stressChoroidMelanocyteCell biologyBiologyMedicinePathologyImmunologyCancer researchInternal medicineNeuroscienceRetinaMelanoma

Abstract

fetched live from OpenAlex

The choroid, located between the retina and the sclera, is a vascularized and pigmented connective tissue, playing a crucial role in providing oxygen and nutrients to the outer layers of the retina, and in absorbing excessive light. How choroidal melanocytes (CMs) participate in tissue homeostasis through paracrine signaling with neighboring cells is poorly understood. In this study, using two-dimensional and three-dimensional models, we aimed to identify proteins secreted by CMs under different oxidative stress conditions. To do so, CMs, choroidal fibroblasts (CFs), and retinal pigment epithelial (RPE) cells were isolated from native human RPE/choroidal tissues and expanded. RNA was isolated and processed for gene profiling analysis. The self-assembly approach of tissue engineering was used to form 3D stromal substitutes, and RPE cells and/or CMs were added to produce 3D models with different cell combinations. The medium conditioned by cells in 2D and 3D cultures was collected in a non-stressed condition and following acute or chronic oxidative stress exposures, then proteome and ELISA analyses were performed to identify cytokines secreted majorly by CMs. RNA analysis revealed 15 secretome-related transcripts that were more abundantly expressed in CMs compared to the other 2 cell types, including serpin family F member 1 (SERPINF1) (coding for pigment epithelium-derived factor; PEDF) and secreted phosphoprotein 1 (SPP1) (coding for osteopontin). At the protein level, the expression of osteopontin and PEDF was higher in CMs of different age groups compared to CFs and RPE cells. In the 3D models containing CMs, cytokine arrays also identified macrophage inflammatory protein (MIP)-1α/MIP-1β in non-stressed, MIP-1α/MIP-1β, interleukin (IL)-24, and angiogenin following an acute oxidative stress, and macrophage migration inhibitory factor (MIF), granulocyte-colony stimulating factor (G-CSF), intercellular adhesion molecule-1 (ICAM-1), and IL-1α following a chronic oxidative stress. This study identifies for the first time trophic factors secreted by CMs that could influence neighboring cells through paracrine signaling. Of those, PEDF and osteopontin are antioxidative proteins that are known to attenuate oxidative stress damage. Identifying factors that can help manage oxidative stress in the posterior segment of the eye may lead to promising treatments for retinal diseases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.385
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes2
Has abstractno

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