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May 27, 2026Journal of Clinical Sciences0 citationsOpen Access

Biomarkers and genetic factors beyond hypocretin-1 in the diagnostics of narcolepsy

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BRBeeravolu Harshith ReddyDatta Meghe Institute of Medical SciencesBGBabaji GhewadeJawaharlal Nehru Medical CollegeUJUlhas JadhavDatta Meghe Institute of Medical Sciences

Key Points

  • The study aims to identify biomarkers and genetic factors beyond hypocretin-1 that can aid in the diagnosis of narcolepsy.
  • Evaluated various biomarkers including genetic, immune, and neurophysiological factors.
  • Examined the limitations of using hypocretin-1 as a sole diagnostic criterion.
  • Discussed current issues in study design and assay variability affecting biomarker validation.
  • Identified several emerging biomarkers that may enhance diagnostic accuracy for narcolepsy.
  • Highlighted the limitations of current methods, specifically the invasiveness and variability of hypocretin-1 measurement.
  • Recommended future directions for research including longitudinal studies and assay standardization.

Abstract

ABSTRACT Narcolepsy is a chronic sleep-wake disorder usually diagnosed by polysomnography, multiple sleep latency testing, and laboratory assessment. One such laboratory approach involves measuring hypocretin-1 in cerebrospinal fluid. Deficiency of this neuropeptide is characteristic of narcolepsy. However, reliance on its measurement has limitations related to invasiveness, restricted availability, and variable sensitivity across disease phenotypes. Reliance on a single biomarker for the diagnosis of any disease has several drawbacks, including the limited availability of that biomarker and variability in disease outcomes. Emerging biomarkers beyond hypocretin-1 span genetic, immune, molecular, neurophysiological, and neuroimaging domains. Genetic associations, particularly HLA-related risk and T-cell receptor variants, support an autoimmune contribution to disease pathogenesis. Autoantibodies and molecular biomarkers, on the other hand, are still in their early stages due to inconsistent replication and poor validation. Neurophysiological and imaging data provide essential mechanistic insights, but their diagnostic specificity is limited. The integration of numerous biomarkers may increase diagnostic accuracy and disease subtype identification. Heterogeneity in study design, assay methodology, and cohort characteristics continues to impede clinical translation. Future research should target longitudinal validation, assay standardization, and collaborative registries to help establish clinically relevant biomarker-driven diagnostic frameworks.

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Cite This Study

Reddy et al. (2026) studied this question.

synapsesocial.com/papers/6a168a7f0c924ddd1bd592fdhttps://doi.org/10.4103/jcls.jcls_3_26
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