# Detection of corneal pathology among Indians using WBC count as inflammatory marker

**Authors:** Susmitha Joshy, MC Chaitra

PMC · DOI: 10.6026/973206300200478 · Bioinformation · 2024-05-31

## TL;DR

This study explores using blood cell ratios like NLR to detect corneal diseases in Indians, showing they can help identify inflammation linked to these conditions.

## Contribution

The study introduces NLR as a novel, accessible biomarker for corneal pathologies in Indian populations.

## Key findings

- NLR, MLR, and PLR were significantly higher in patients with corneal pathologies compared to healthy controls.
- NLR was the best predictor of corneal disease among the inflammatory markers tested.

## Abstract

The multifaceted role of NLR as a biomarker in corneal pathologies, aiming to enhance clinicians' understanding for better patient
outcomes is of interest. An extensive ophthalmic assessment was conducted. Patients with corneal pathologies were identified as cases
and those with healthy cornea as controls. A complete WBC blood count was performed using Automated Flow Cytometric method and the
counts of white blood cells, neutrophils, platelets, and lymphocytes where recorded. NLR, PLR, and MLR were calculated by dividing the
Neutrophil/Platelet/Monocyte counts by the lymphocyte counts. The study revealed that the Neutrophil-to-Lymphocyte Ratio (NLR),
Monocyte-to-Lymphocyte Ratio (MLR), and Platelet-to-Lymphocyte Ratio (PLR) were significantly higher in the case group compared to the
control group. N/L proved the best predictor among inflammatory markers, followed by M/L and P/L, highlighting the intricate immune
response in corneal diseases, urging customized assessments in ocular health research.

## Full-text entities

- **Diseases:** corneal diseases (MESH:D003316), inflammatory (MESH:D007249)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11309121/full.md

## References

12 references — full list in the complete paper: https://tomesphere.com/paper/PMC11309121/full.md

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Source: https://tomesphere.com/paper/PMC11309121