Page 70 - AN-2-1
P. 70

Advanced Neurology                                          Alpha-synuclein, depression and neurodegeneration



            disorders  as  a  whole)  was  significantly  and  positively   rs3775439)  showed  significant  correlations  with  the
            correlated with the prevalence of both PD and AlzD   estimated prevalence of depressive disorders at both time
            at both time points, even after correction for multiple   points. The  rs2736990  and  rs3775439 allele frequencies
            comparisons. The magnitude of these correlations   were significantly correlated with the prevalence of both
            was somewhat greater in 1990 (r = 0.38 – 0.61) than   PD and AlzD. After correcting for possible confounding
            in 2019 (r  = 0.19 – 0.47) and appeared to be slightly   factors (life expectancy, air pollution, and pesticide
            greater for dysthymia (r  = 0.35 – 0.62) than for major   exposure), only the rs3775439 allele frequency distribution
            depression (r  =  0.19 – 0.38). When these associations   remained significantly and negatively correlated with the
            were adjusted for life expectancy (in 1990 and 2019)   prevalence of depression and PD (at both time points) as
            and environmental risk factors (in 2019), their strength   well as AlzD (in 1990). This suggests that the distribution
            was somewhat attenuated (r  = 0.16 – 0.59), but they   of the  rs3775439 (A) allele across populations may be
            remained statistically significant. This suggests that the   associated with a lower prevalence of the aforementioned
            link between these disorders cannot be entirely ascribed   disorders.
            to shared environmental risk factors.                To examine the possibility that the above association

            3.2. Cross-lagged regression analysis of depression,   might be mediated by depression, partial correlation
            PD, and AlzD                                       analyses of the associations between each allele frequency
                                                               and both PD and AlzD were carried out, while adjusting
            The results of cross-lagged regression analysis are presented   for the prevalence of depression (Table 5). In these
            in  Table 3.  From these results, it can be seen that the   analyses, the association between SNCA variants and both
            cross-correlations between depressive disorders in 1990   PD and AlzD was not significant after adjusting for MDD
            and PD/AlzD in 2019 were greater (r = 0.34 – 0.60) than   but remained significant when adjusting for dysthymia.
            those between PD/AlzD in 1990 and depressive disorders   This suggests that while SNCA gene variants may influence
            in 2019 (r = 0.22 – 0.41). For depressive disorders as a whole   the development of both MDD and neurological disorders,
            and for major depression, this difference was not statistically   these variants may interact with dysthymia to influence the
            significant (regression coefficient: 0.09 – 0.14, P > 0.05).   risk of subsequent PD or AlzD.
            However, for dysthymia, this difference was statistically
            significant (dysthymia/PD: 0.19, P = 0.005; and dysthymia/  3.4. Bivariate correlations between depression,
            AlzD: 0.21, P = 0.004). These results support the possibility   SNCA allele frequencies, and changes in PD and AlzD
            of a causal relationship; in other words, dysthymia appears   over time
            to be prospectively associated with the subsequent risk of   The results of these analyses are presented in Tables 6 and 7.
            PD and AlzD.                                       In both the unadjusted and unadjusted analyses, neither
                                                               the baseline prevalence of depression nor the frequencies
            3.3. Bivariate correlations between SNCA allele    of specific SNCA alleles were significantly correlated with
            frequencies, depression, PD, and AlzD
                                                               subsequent increases in the prevalence of PD or AlzD.
            The associations between population genetic data and   There was a positive correlation between changes in the
            the prevalence of each specific disorder are presented   prevalence of depression and changes in the prevalence of
            in Table 4. In these analyses, the frequencies of all three   PD or AlzD over the study period, but only the correlation
            alleles  included in this study (rs356220,  rs2736990, and   with PD remained significant after adjusting for life

            Table 3. Cross‑lagged regression analyses of the associations between depression, Parkinson’s disease, and Alzheimer’s disease

             Association                   Cross‑correlation   Cross‑correlation   Regression  Interpretation
                                         (depression in 1990 to   (neurological disorder in   coefficient
                                        neurological disorder in   1990 to depression in 2019)
                                               2019)
            Depression and Parkinson’s disease  0.46              0.32           0.14  Causal relationship not supported
            Major depression and Parkinson’s disease  0.34        0.22           0.12  Causal relationship not supported
            Dysthymia and Parkinson’s disease  0.60               0.41           0.19 a  Causal relationship supported
            Depression and Alzheimer’s disease  0.47              0.37           0.10  Causal relationship not supported
            Major depression and Alzheimer’s disease  0.38        0.29           0.09  Causal relationship not supported
            Dysthymia and Alzheimer’s disease  0.54               0.33           0.21 a  Causal relationship supported
            a Significant at P<0.05

            Volume 2 Issue 1 (2023)                         5                          https://doi.org/10.36922/an.326
   65   66   67   68   69   70   71   72   73   74   75