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Record W1983776055 · doi:10.4172/2155-9570.1000208

Drusen and Pro-inflammatory Mediators in the Post-Mortem Human Eye

2012· article· en· W1983776055 on OpenAlexafffundabout
Kailun Jiang, Eleanor To, Jing Cui, Sijia Cao

Bibliographic record

VenueJournal of Clinical & Experimental Ophthalmology · 2012
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsUniversity of British ColumbiaUniversity of Manitoba
FundersCanadian Institutes of Health ResearchU.S. Public Health Service
KeywordsDrusenMedicineOptometryHuman eyeOphthalmologyArtificial intelligenceMacular degenerationComputer science

Abstract

fetched live from OpenAlex

With age and drusen accumulation, the environment of the eye tends to shift more towards a pro-inflammatory state (Figure 6) through either IL-1β and/or possibly IFN pathways. Little change is induced in the complement inhibitor, CFI, in association with drusen, suggesting a failure to activate protective mechanisms against complement activation. Alternatively, the lack of change in CFI accumulation level could indicate that that the pro-inflammatory actions of drusen may not yet be enough to trigger inhibition of the complement cascade in healthy eye tissue. Here, we identified three inflammatory molecules in the postmortem human eye, p-STAT3, CXCL-10, and CXCL-11, to be strongly correlated with the presence of drusen within a population controlled for age (≤57 years old, Figure 6). This pattern of accumulation suggests that these molecules are closely involved with the presence of drusen rather than with aging, and may represent a predisposition toward AMD pathogenesis. A recent microarray study on mouse RPE cells reported expression changes in over 315 genes associated with advanced age [48]. Many pathways they identified were also found in our prior microarray study (unpublished observation) [16]. Similarly, Chen et al. [49] found that the mouse neuroretina displayed age-related upregulation of the complement cascade and activation of retinal microglia [49]. Curiously, neither study found expression changes in any of the gene products examined in this study. It is important to note that drusen-like deposits have not been documented in wild-type-mouse eyes [50]. Thus, one interpretation for this discrepancy may be that the genes identified in our microarray studies, and specifically the gene products studied here reflect a drusen-specific response rather than a general response to aging. Our studies now set the stage for future experiments testing the function of each of these potential mediators in the pathogenesis of AMD. One approach might involve assessing the response of each mediator following Aβ and/or AGE injection into young wild-type mice to determine degree of mimicry to AMD pathology. Figure 6 Summary diagram depicting the distribution of IL-1β, RSAD2, p-STAT3, and CXCL-10/11 immunoreactivity in post-mortem eye tissue with respect to aging and present of drusen. Icons denote the relative immunostaining of each molecule in a given retinallocation. ... Acknowledgments We thank Jonathan Tang, Jonathan Coleman, and Dr. Ian Clark for discussion and editing of the manuscript. This work was funded by Canadian Institutes of Health Research (CIHR-MOP-97806) to J.A.M. Grant Support Supported by Canadian Institutes of Health Research (CIHR) Grant# MOP-97806 (to JAM).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.076
GPT teacher head0.479
Teacher spread0.404 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations12
Published2012
Admission routes3
Has abstractyes

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