Development of predictive biomarker spectrum for neuropsychiatric systemic lupus erythematosus (NPSLE)
A collaboration with Graduate School of Biomedical Sciences, Nagasaki University, Japan
2021 - 2022
Topics: Bayesian modelling · Predictive modelling · Biomedical science · Biomarker evaluation
My contributions: Data analysis · Bayesian statistical modelling · Data visualization · Writing and editing article manuscript (Bayesian-related part)
Skills used: Bayesian modeling · Biostatistics · R · SAS · RMarkdown · LaTeX · Git · GNU Make
This collaborative project aims to identify a potential spectrum of biomarkers for predicting NPSLE, offering crucial clinical insights before the onset of neuropsychiatric symptoms. Using a novel Bayesian model, the project determined the cutoff concentration of anti-suprabasin antibodies and associated predictive values (PPV, NPV). The findings from this project could assist in clinical trials, aid in making decisions about patient care, guide treatment choices, and enable cost-effective interventions.
Publication
Hoang, T. T. T., Ichinose, K., Morimoto, S., Furukawa, K., Le-Huynh, T.-L., Kawakami, A. (2022). Measurement of anti‑suprabasin antibodies, multiple cytokines and chemokines as potential predictive biomarkers for neuropsychiatric systemic lupus erythematosus. Clinical Immunology, 237(March), 1–8. https://doi.org/10.1016/j.clim.2022.108980
Abstract
Neuropsychiatric systemic lupus erythematosus (NPSLE) varies in presentation and is one of the leading causes of morbidity and mortality among patients with SLE. This study determined the most critical serum biomarkers for the development of NPSLE as they may have clinical utility prior to the onset of neuropsychiatric symptoms. We retrospectively analyzed 35 NPSLE patients, 34 SLE patients, 20 viral meningitis (VM) patients, and 16 relapsing-remitting multiple sclerosis (MS) patients. We measured anti-suprabasin antibodies concentrations in serum by using Luciferase immunoprecipitation system (LIPS) assay. The serum concentrations of cytokines/chemokines were measured by using multiplex bead-based assay. We found serum FGF-2 level was significantly higher in the NPSLE group compared to the SLE group and the healthy control group. The anti-suprabasin antibody relative concentration (SRC) has high positive predictive values for the development of NPSLE. The most essential biomarkers are VEGF, anti-suprabasin antibodies, sCD40L, IL-10, GRO, MDC, IL-8, IL-9, TNF-α, MIP-1α.
Reproducible research code
Le-Huynh, T.-L.. (2023). Reproducible code for “Measurement of anti-suprabasin antibodies, multiple cytokines and chemokines as potential predictive biomarkers for neuropsychiatric systemic lupus erythematosus” (Version v1.0.0) [Computer software]. GitHub. https://github.com/le-huynh/2022_Hoang_SBSN_ClinImmunol
Presentation
Hoang, T. T. T., Ichinose, K., Morimoto, S., Furukawa, K., Le-Huynh, T.-L., Kawakami, A., Measurement of anti-suprabasin antibodies, multiple cytokines and chemokines as potential predictive biomarkers for neuropsychiatric systemic lupus erythematosus [Poster presentation], Annals of the Rheumatic Diseases, 2022;81:658.
