AI Article Synopsis

  • PGC-1α is a critical factor in Parkinson's disease, and the study examined its gene expression in PD patients versus healthy controls.
  • Significant decreases in PGC-1α levels were found in PD patients, although the observed correlations with disease severity disappeared after correction.
  • Variants of PGC-1α-related genes did not impact PGC-1α expression but were associated with specific clinical scores, highlighting the potential for PGC-1α as a blood-based biomarker for PD diagnosis and monitoring.

Article Abstract

Introduction: Peroxisome proliferator-activated receptor (PPAR)-γ coactivator-1α (PGC-1α) plays an important role in Parkinson's disease (PD). The aim of the study was to evaluate PGC-1α gene expression in the peripheral blood of PD patients. We also investigated PGC-1α-related gene variants and identified whether they are associated with PGC-1α gene expression.

Methods: 259 PD patients and 253 healthy controls were included in this study. PPARGC1A (the gene encoding PGC-1α) expression levels were tested using real-time PCR. Single nucleotide polymorphisms (SNPs) of the PGC-1α-related genes (PPARGC1A, PPARG and SIRT1) were genotyped by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS).

Results: PPARGC1A levels were significantly decreased in PD patients (P = 0.000) and negatively correlated with the patients' H&Y stage (r = -0.212, P = 0.039) and UPDRS-III score (r = -0.208, P = 0.044), after correcting, these correlations disappeared. The genotype frequencies of PGC-1α-related gene variants were not associated with the risk of PD. PPARGC1A rs2970870 variant was associated with the NMS score (P = 0.026), SIRT1 rs7895833 variant was associated with HAMA score (P = 0.029). PPARG rs4684847 variant was associated with MMSE score (P = 0.031). PPARG rs1801282, rs4684847, rs3856806 variants were associated with MoCA score. After correcting, only the association between PPARG rs4684847 and MoCA score remained significant (FDR = 0.048). PGC-1α-related gene variants had no effect on PGC-1α gene expression.

Conclusion: The decreased expression of PGC-1α may not be due to its related gene variants. PGC-1α could become a candidate blood-based biomarker for diagnosis and monitoring disease progression.

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Source
http://dx.doi.org/10.1016/j.parkreldis.2018.02.037DOI Listing

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