Abstract

Background: Nicotinamide adenine dinucleotide (NAD+) metabolism has drawn more attention on neurodegeneration research; however, the role in Amyotrophic Lateral Sclerosis (ALS) remains to be fully elucidated. Here, the purpose of this study was to investigate whether the circulating NAD+ metabolic-related gene signature could be identified as a reliable biomarker for ALS survival. Methods: A retrospective analysis of whole blood transcriptional profiles and clinical characteristics of 454 ALS patients was conducted in this study. A series of bioinformatics and machine-learning methods were combined to establish NAD+ metabolic-derived risk score (NPRS) to predict overall survival for ALS patients. The associations of clinical characteristic with NPRS were analyzed and compared. Receiver operating characteristic (ROC) and the calibration curve were utilized to assess the efficacy of prognostic model. Besides, the peripheral immune cell infiltration was assessed in different risk subgroups by applying the CIBERSORT algorithm. Results: Abnormal activation of the NAD+ metabolic pathway occurs in the peripheral blood of ALS patients. Four subtypes with distinct prognosis were constructed based on NAD+ metabolism-related gene expression patterns by using the consensus clustering method. A comparison of the expression profiles of genes related to NAD+ metabolism in different subtypes revealed that the synthase of NAD+ was closely associated with prognosis. Seventeen genes were selected to construct prognostic risk signature by LASSO regression. The NPRS exhibited stronger prognostic capacity compared to traditional clinic-pathological parameters. High NPRS was characterized by NAD+ metabolic exuberant with an unfavorable prognosis. The infiltration levels of several immune cells, such as CD4 naive T cells, CD8 T cells, neutrophils and macrophages, are significantly associated with NPRS. Further clinicopathological analysis revealed that NPRS is more appropriate for predicting the prognostic risk of patients with spinal onset. A prognostic nomogram exhibited more accurate survival prediction compared with other clinicopathological features. Conclusions: In conclusion, it was first proposed that the circulating NAD+ metabolism-derived gene signature is a promising biomarker to predict clinical outcomes, and ultimately facilitating the precise management of patients with ALS.

Highlights

  • Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease involving both upper and lower motor neurons that leads to progressive muscle atrophy and motor deficit

  • Our previous study reported the aberrant expression of NAD+ Metabolism-related coenzymes was identified in the brain of SOD1G93A mice (Zhou et al, 2020)

  • The expression of NADSYN1, nicotinamide monophosphoribosyl transferase (NAMPT), PARP8/9/16, PTGS2, NT5C2, BST1, SIRT1/5, and NADK was significantly upregulated in ALS, whereas QPRT, SLC5A8, NMNAT3, PARP6/14/10, NT5C, ENPP1, and SIRT2 were significantly downregulated

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Summary

Introduction

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease involving both upper and lower motor neurons that leads to progressive muscle atrophy and motor deficit. The clinical feature of ALS is heterogeneous regarding age and site of disease onset, sex, rate of disease progression, and survival (Xu and Yuan, 2021). It is critical to identify biomarkers of clinical progression for ALS, which could be used to monitor and target potential disease-modifying treatments before any irreversible neurodegeneration occurs. Nicotinamide adenine dinucleotide (NAD+) metabolism has drawn more attention on neurodegeneration research; the role in Amyotrophic Lateral Sclerosis (ALS) remains to be fully elucidated. The purpose of this study was to investigate whether the circulating NAD+ metabolic-related gene signature could be identified as a reliable biomarker for ALS survival

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