ClinicalTrials.gov
public full text
Public Domain
HRR as a Novel Biomarker in Sjögren's Syndrome
Sjögren's syndrome (SS) is an autoimmune disorder characterized by chronic salivary and lacrimal gland dysfunction leading to dry mouth (xerostomia) and dry eye (xerophthalmia) sensation (1). Although dry mouth and dry eye are the main symptoms, the disease may influence many organs and systems. Diagnosis is made with ocular surface staining scores, anti-SS-A/SS-B auto-antibody positivity, and minor salivary gland biopsy (2). The Complete blood count (CBC) is a simple, inexpensive, accessible, and routinely used laboratory parameter that can be linked to oxidative stress, inflammation and microvascular flow resistance. Parameters include NLR and PLR values may be calculated by using CBC parameters (3). Neutrophil/lymphocyte ratio is used as an inflammatory marker in the diagnosis and prognosis of many cardiovascular diseases, malignancies, and infections (4-6). Peripheral inflammatory biomarkers of hematologic indices had been suggested by numerous studies to play a role during SS onset and progression.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Additional file 1 of Age-specific reference values for unstimulated whole saliva flow rate in primary Sjögren’s syndrome: a cross-sectional study#1145942
- Evaluation of Salivary Biomarker Levels of Individuals With Different Periodontal Diseases#807336
- Histopathological Analysis Versus Full-field Optical Coherence Tomography of Minor Salivary Gland Biopsy in Suspect Sjogren Syndrome#803341
- Systems serology identifies FcR-related autoantibody signatures and functions for Sjögren’s syndrome#374432
- Renal Arterial Resistive Index Versus Novel Biomarkers for Early Prediction of Sepsis Associated-acute Kidney Injury#893006
Record · ID 834172
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive