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Record W2768548828 · doi:10.4103/ijo.ijo_838_17

Altered tear inflammatory profile in Indian keratoconus patients

2017· letter· en· W2768548828 on OpenAlex
Prashant Garg

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIndian Journal of Ophthalmology · 2017
Typeletter
Languageen
FieldMedicine
TopicCorneal surgery and disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineKeratoconusEctasiaCorneaDiseaseInflammationOphthalmologyPathologyImmunology

Abstract

fetched live from OpenAlex

Keratoconus is a progressive disorder characterized by thinning and ectasia of the central and paracentral cornea with a consequent increase in corneal curvature, irregular astigmatism, and loss of uncorrected and best-corrected visual acuity. The etiopathogenesis of the disease is poorly understood, and investigators have put forth several theories for explaining progressive stromal weakness and ectasia and included heredity, abnormality of corneal collagen, the role of keratocytes, corneal innervation, and inflammation. Although the disease is classically described as a noninflammatory disorder investigators have evaluated inflammatory markers in keratoconus subjects.[1] Several aspects of the condition cannot be explained without considering inflammation as the basis of the disease and include: Why the disease occurs in late childhood or adolescence and young adults? What is the basis of the association between keratoconus and allergic eye diseases? How rubbing promotes progression of keratoconus? Why do we see stromal scarring even in patients not wearing contact lenses? On the other hand, there are arguments against the inflammatory theory as well. We find it difficult to explain following questions based entirely on inflammation theory: Why thinning and ectasia are seen only in central or paracentral cornea? How peripheral cornea is spared despite being closer to the limbus and near vascular arcades? Why the rate of progression of the disease is slowed down with advancing age? Are there changes in or modulation of the inflammatory phenomenon with age? Is this derangement in the inflammatory control a local phenomenon or are these patients vulnerable to inflammatory diseases elsewhere in the body? What are triggers of this local inflammation? If it is generalized derangement, is collagen in other parts of the body also affected? Despite these contradictions, inflammatory theory has been widely investigated. In a paper published in this issue,[2] investigators from Narayana Nethralaya evaluated levels of different inflammatory markers in tear film in patients with keratoconus and compared these with those in otherwise healthy individuals with no evidence of keratoconus or other inflammatory diseases. The authors hypothesized that altered collagen structure and consequent biomechanical weakening as well as deregulated epithelial and stromal proteins demonstrated in KC could be because of inflammation. The authors included levels of a variety of cytokines and chemokines including Interleukin-1 alpha (IL-1α), IL-1 β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-9, IL-10, IL-12p70, IL-23p40, IL-13, IL-17A, IL-17F, IL-21, Interferon alpha (IFNα), IFNγ, CCL2/MCP-1, CCL4/MIP-1 β, MIP-1α, CCL5/RANTES, CXCL10/IP10, sICAM1, sCD62E/sE-selectin, vascular endothelial growth factor and transforming growth factor beta (TGFβ). The measurements were performed using cytometric bead array. The authors found significantly higher levels of inflammation-associated cytokines, chemokines, growth factors, and soluble cell adhesion molecules in tears of patients with keratoconus when compared with healthy control subjects. Earlier the same group as well as other investigators evaluated the role of the lysyl oxidase enzyme (LOX) and found reduced levels in patients with keratoconus.[3456] LOX and other lysyl oxidase-like enzymes mediate formation of covalent bonds between collagen and elastin fibrils, which maintain the biomechanical properties of the cornea. Reduced activity of LOX enzymes might be potential reasons for the inadequate collagen cross-linking in keratoconus with consequent weakening and ectasia. It is also known that LOX enzymes (cyclooxygenase and lipoxygenase) also mediate biosynthesis of arachidonic acid-derived lipid mediators that are intimately involved in inflammation. Based on these observations, it seems that inflammation plays an important if not the sole role in the pathogenesis of keratoconus. This knowledge if substantiated by other investigators can be of great value. Some of these cytokines and chemokines can be developed as biomarkers for predicting the susceptibility of an individual to keratoconus thereby facilitating intervention much before the disease deteriorates the quality of vision or progresses to levels where only keratoplasty will be the treatment option. In conclusion, the work published by the authors is an important addition to our understanding of the pathogenesis of keratoconus. This knowledge has a potential for developing a biomarker for keratoconus and possibly a therapeutic strategy for preventing loss of vision in children and young adults. About the author Dr. Prashant Garg is a senior faculty member at the Tej Kohli Cornea Institute of LV Prasad Eye Institute, Hyderabad, India. He has earlier served as the Medical Director of Ramayamma International Eye Bank and Dr. G Chandra Sekhar Distinguished Chair of Education in the same organization. Dr. Garg is the recipient of three major grants - from the Wellcome trust UK, Newton Fund and the ICMR, all dealing with antimicrobial resistance. He is also a recipient of the “Senior Achievement Award” from the American Academy of Ophthalmology. He has published over 125 manuscripts in peer-reviewed journals and is on the editorial board of Canadian Journal of Ophthalmology and EuCornea. Indian Journal of Ophthalmology is proud to have Dr Garg on its Editorial Board.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.284
Teacher spread0.262 · 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