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Enregistrement W2768548828 · doi:10.4103/ijo.ijo_838_17

Altered tear inflammatory profile in Indian keratoconus patients

2017· letter· en· W2768548828 sur OpenAlex
Prashant Garg

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Notice bibliographique

RevueIndian Journal of Ophthalmology · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueCorneal surgery and disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineKeratoconusEctasiaCorneaDiseaseInflammationOphthalmologyPathologyImmunology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,250
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,022
Tête enseignante GPT0,284
Écart entre enseignants0,262 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle