Abstract

Background:

Mild cognitive impairment is one of the non-motor symptoms in Parkinson's disease (PD) and multiple system atrophy (MSA). Few studies have previously been conducted on the correlation between serum uric acid (SUA) and lipid levels and mild cognitive impairment in PD and MSA.

Methods:

Participants included 149 patients with PD and 99 patients with MSA. The Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) were used to evaluate cognitive function. Evaluations were conducted on SUA and lipid levels, which included triglyceride, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and total cholesterol (TC).

Results:

Patients with PD and MSA diagnosed with mild cognitive impairment demonstrated multiple cognitive domain impairment when compared with patients with normal cognition. Attentional impairment was more pronounced in patients with MSA when compared with PD (p = 0.001). In PD, the risk of mild cognitive impairment was lower in the highest quartiles and secondary quartile of SUA than in the lowest quartiles (odds ratio [OR] = 0.281, 95% confidence intervals [CI]: 0.097–0.810, p = 0.019; and OR = 0.317, 95% CI: 0.110–0.911, p = 0.033). In MSA, the risk of mild cognitive impairment was lower in the third and highest quartile of SUA than in the lowest quartile (OR = 0.233, 95% CI: 0.063–0.868, p = 0.030; and OR = 0.218, 95% CI: 0.058–0.816, p = 0.024). In patients with PD, the MoCA scores were negatively correlated with TC levels (r = –0.226, p = 0.006) and positively correlated with SUA levels (r = 0.206, p = 0.012). In MSA, the MoCA scores were positively correlated with SUA levels (r = 0.353, p = 0.001).

Conclusions:

Lower SUA levels and higher TC levels are a possible risk factor for the risk and severity of mild cognitive impairment in PD. Lower SUA levels are a possible risk factor for the risk and severity of mild cognitive impairment in MSA.

1. Introduction

Parkinson’s disease (PD) is a neurodegenerative disorder. The existence of motor symptoms, such as bradykinesia, stiffness and tremor, is necessary for PD diagnosis [1]. Additional to these well-known motor features, non-motor symptoms such as cognitive dysfunction are common and potentially occur at any disease stage [2, 3]. Multiple system atrophy (MSA) is a neurodegenerative disease and Parkinsonism, cerebellar ataxia, autonomic dysfunction and pyramidal dysfunction are its main symptoms. Some studies suggest that the incidence of mild cognitive impairment in MSA may be higher than previously thought [4, 5]. Alpha-synuclein cytoplasmic inclusions are a common feature in PD and MSA. Additionally, along with the clinical features typically observed during a neurological or physical examination, cognitive symptoms are often present in the early stages of all Parkinsonism [6].

It has been shown that serum uric acid (SUA) functions as a natural antioxidant [7]. Cao et al. [5] found low SUA plays a role in decreasing cognitive disorder in patients with MSA. Annanmaki et al. [8] also found that low SUA level predicted worse performance in neuropsychological tests in PD patients. Luca et al. [9] found a negative relationship between executive function and low-density lipoprotein cholesterol (LDL-C) levels in male patients with PD. Conversely, Choe et al. [10] found no relation between lipid levels and cognitive performance in a long-term investigation involving individuals with advanced PD. According to previous studies, low serum lipid levels are linked to a higher risk of MSA, although they have no impact on how severe or how quickly MSA develops [11, 12].

How SUA and lipid levels influence cognitive function in PD and MSA remains unclear. To investigate the hypothesis that SUA and serum lipid levels are related to cognitive changes in PD and MSA patients, a retrospective study involving 149 patients with PD and 99 patients with MSA was undertaken.

2. Materials and Methods
2.1 Participants

In Tianjin (China), between January 2021 and August 2023, 149 patients with a diagnosis of PD and 99 patients with a diagnosis of MSA were recruited from Tianjin Huanhu Hospital. PD patients were clinically diagnosed using the Movement Disorder Society Clinical Diagnostic Criteria for PD [13]. According to the updated Gilman criteria, patients with MSA were clinically diagnosed with possible or probable MSA-P or MSA-C [14]. Individuals with diagnoses of the following illnesses that could affect SUA and lipid levels were excluded: (1) Patients who had surgery within the previous three months, or who have acute or persistent infections; (2) Patients suffering from acute or chronic renal and liver disease; (3) Patients receiving lipid-lowering and SUA-lowering therapy; (4) Patients who could not complete or declined a cognitive test.

A brain magnetic resonance imaging (MRI) was performed on each patient to rule out other neurological disorders. All patients gave informed consent and the study (No. 2020-100) was authorized by the Tianjin Huanhu Hospital Medical Ethics Committee.

2.2 Neuropsychological Assessment

Age, sex, education, onset age, disease duration and other demographic information, were gathered. All patients underwent a detailed assessment performed by specialists in movement disorders. Motor symptoms were assessed using part III of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) [15]. The clinical phenotype includes tremor-dominant, rigid-dominant and mixed subtype. The severity of MSA was evaluated using the Unified MSA Rating Scale (UMSARS) [16]. Cognitive function was assessed using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). Patients who reached MMSE scores for dementia were excluded from the study. MoCA is a more sensitive measure of cognitive function than MMSE. Education-specific cutoff values for the total MoCA score were used to identify mild cognitive impairment. The specific total MoCA score for a diagnosis of mild cognitive impairment is 13 for illiterate patients, 19 for patients with 1–6 years of education and 24 for patients with seven or more years of education [17, 18].

2.3 Blood Sampling

After an 8–12 hour fast at the time of admission, fasting blood samples were taken. The antecubital vein was used to extract peripheral blood. Blood samples were placed into serum separator tubes for centrifugation. Levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and LDL-C, serum creatinine (SCr) and SUA were measured within two hours of collection.

2.4 Statistical Analysis

Normally distributed data are given as mean ± standard deviation (SD), while non-normal distributions are given as median [interquartile range (IQR)]. Frequencies and percentages are used to quantify categorical variables. A Mann-Whitney U test, chi-squared test, or Student’s t-test were used, depending on the situation, to compare pairs of groups. Based on their distribution among the PD subjects, the levels of TC, LDL-C, SUA and SCr were separated into quartiles. After adjusting for sex, education and MDS-UPDRS III (p < 0.1) using logistic regression, odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Based on their distribution among all participants with MSA, the fasting concentrations of SUA and SCr were separated into quartiles. The adjusted ORs were computed after adjusting for sex and MSA subtypes (p < 0.1). The correlations between SUA level and cognitive tests were assessed using Pearson’s and Spearman’s correlation coefficients. Statistical significance was defined as a p-value < 0.05.

3. Results

Base characteristics of participants with PD and MSA are given in Table 1. PD participants had higher levels of SCr, LDL-C, HDL-C and TC than MSA participants. PD participants with mild cognitive impairment had significantly lower levels of SUA and SCr and higher levels of TC and LDL-C than participants without mild cognitive impairment. More women had mild cognitive impairment than men among participants with MSA. In MSA, participants with mild cognitive impairment had significantly lower SUA and SCr than participants without such impairment. No significant difference in TC, LDL-C, HDL-C, or triglyceride level was found between these two groups. Compared with participants who had normal cognition, participants with PD and MSA who had mild cognitive impairment declined in multiple domains of cognition. The impairment in attention was more pronounced in participants with MSA who had mild cognitive impairment, as compared with participants with PD who had mild cognitive impairment, with no significant differences in other domains of cognition (Table 2).

Table 1. Baseline clinical and laboratory characteristics in PD and MSA with and without cognitive impairment.
PD MSA PD vs. MSA
Total (n = 149) PD-MCI (n = 84) PD-NC (n = 65) p-value Total (n = 99) MSA-MCI (n = 56) MSA-NC (n = 43) p-value p-value
Age (years) 67.00 (60.00–71.00) 67.00 (60.50–71.00) 66.00 (59.00–71.00) 0.254 62.00 (53.00–68.00) 64.00 (54.00–69.00) 60.00 (53.00–65.00) 0.108 0.001
Men (n %) 76 (51.0) 36 (42.9) 40 (61.5) 0.024 51 (51.5) 22 (39.3) 29 (67.4) 0.005 0.937
Duration (years) 4.00 (2.00–6.00) 4.00 (2.00–6.00) 3.00 (2.00–6.00) 0.948 2.00 (2.00–4.00) 2.00 (2.00–4.00) 2.00 (2.00–4.00) 0.402 0.001
Clinical phenotype MSA-C (n %) 50 (50.5) 23 (41.1) 27 (62.8) 0.032
Clinical phenotype MSA-P (n %) 49 (49.5) 33 (58.9) 16 (37.2)
Clinical phenotype Tremor (n %) 44 (29.5) 24 (28.6) 20 (30.8) 0.671
Clinical phenotype Rigid (n %) 51 (34.2) 27 (32.1) 24 (36.9)
Clinical phenotype Mixed (n %) 54 (36.3) 33 (39.3) 21 (32.3)
Education (years) 9.00 (6.00–12.00) 9.00 (6.75–10.00) 12.00 (6.00–12.00) 0.014 9.00 (7.00–12.00) 9.00 (7.00–11.00) 10.00 (6.00–12.00) 0.915 0.631
Smoker (n %) 28 (18.8) 13 (15.5) 15 (23.1) 0.239 28 (28.3) 16 (28.6) 12 (27.9) 0.942 0.080
Alcohol (n %) 16 (10.7) 6 (7.1) 10 (15.4) 0.107 26 (26.3) 16 (28.6) 10 (23.3) 0.551 0.001
Hypertension (n %) 53 (35.6) 30 (35.7) 23 (35.4) 0.967 29 (29.3) 19 (33.9) 10 (23.3) 0.247 0.303
Diabetes (n %) 28 (18.8) 18 (21.4) 10 (15.4) 0.349 19 (19.2) 13 (23.2) 6 (14.0) 0.246 0.937
MDS-UPDRS III 35.00 (19.00–50.00) 40.00 (22.00–56.75) 31.00 (17.50–47.00) 0.057
UMSARS 38.00 (35.00–42.00) 38.50 (34.00–41.00) 37.00 (35.00–43.00) 0.969
Fazekas scales 1.00 (1.00–2.00) 1.00 (1.00–2.00) 1.00 (1.00–2.00) 0.839 1.00 (1.00–2.00) 1.00 (1.00–2.00) 1.00 (1.00–2.00) 0.722 0.493
MMSE 25.00 (23.00–28.00) 23.00 (20.00–24.00) 28.00 (27.00–29.00) 0.001 26.00 (22.00–28.00) 23.00 (20.00–24.00) 28.00 (27.00–29.00) 0.001 0.992
MoCA 22.00 (18.00–25.00) 18.50 (15.00–20.00) 25.00 (25.00–26.00) 0.001 21.00 (17.00–25.00) 18.00 (15.00–20.00) 25.00 (25.00–26.00) 0.001 0.729
SUA (µmol/L) 293.00 (245.00–342.50) 283.00 (228.50–329.25) 296 (269.00–363.00) 0.018 273.90 (236.00–323.40) 257.90 (218.75–289.18) 300.00 (258.00–346.00) 0.001 0.116
SCr (µmol/L) 65.60 (57.05–76.10) 63.90 (56.25–73.33) 68.20 (58.10–78.50) 0.050 56.61 (50.20–72.89) 53.38 (47.90–62.80) 67.10 (54.46–80.50) 0.002 0.004
LDL-C (mmol/L) 3.02 (2.44–3.55) 3.10 (2.57–3.88) 2.88 (2.26–3.40) 0.020 2.63 (2.14–3.29) 2.57 (2.20–3.35) 2.67 (1.90–3.22) 0.887 0.001
HDL-C (mmol/L) 1.33 (1.15–1.56) 1.34 (1.16–1.62) 1.30 (1.12–1.51) 0.324 1.11 (0.94–1.36) 1.18 (0.97–1.38) 1.05 (0.92–1.30) 0.192 0.001
Triglyceride (mmol/L) 1.09 (0.78–1.55) 1.13 (0.77–1.67) 1.05 (0.76–1.51) 0.230 1.20 (0.89–1.70) 1.20 (0.89–1.66) 1.19 (0.90–1.76) 0.718 0.218
Total cholesterol (mmol/L) 4.93 (4.10–5.66) 5.14 (4.29–6.27) 4.82 (3.73–5.33) 0.010 4.30 (3.60–5.08) 4.34 (3.61–5.08) 4.20 (3.52–5.11) 0.777 0.001

PD, Parkinson’s disease; MSA, multiple system atrophy; MCI, mild cognitive impairment; NC, normal cognition; MDS-UPDRS, Movement Disorder Society Unified Parkinson’s Disease Rating Scale; UMSARS, Unified MSA Rating Scale; LDL-C, low-density-lipoprotein cholesterol; HDL-C, high-density-lipoprotein cholesterol; SCr, serum creatinine; SUA, serum uric acid; MMSE, Mini-Mental State Examination; MoCA, Montreal Cognitive Assessment; PD vs. MSA, Total PD participants vs. total MSA participants.

Table 2. MoCA scores in PD and MSA with mild cognitive impairment.
PD-NC and MSA-NC (n = 108) PD-MCI (n = 84) p-value (PD-MCI vs. NC) MSA-MCI (n = 56) p-value (MSA-MCI vs. NC) p-value (PD-MCI vs. MSA-MCI)
MoCA 25.00 (25.00–26.00) 18.50 (15.00–20.00) 0.001 18.00 (15.00–20.00) 0.001 0.417
Visual perception and Executive function (5) 5.00 (4.00–5.00) 1.00 (1.00–3.00) 0.001 2.00 (1.00–2.00) 0.001 0.844
Naming (3) 3.00 (3.00–3.00) 3.00 (2.00–3.00) 0.001 3.00 (2.00–3.00) 0.001 0.770
Attention (3) 3.00 (2.00–3.00) 2.00 (2.00–3.00) 0.001 1.00 (1.00–3.00) 0.001 0.001
Calculation (3) 3.00 (3.00–3.00) 2.00 (2.00–3.00) 0.001 3.00 (2.00–3.00) 0.001 0.098
Language (3) 2.00 (2.00–3.00) 1.00 (1.00–2.00) 0.001 1.00 (1.00–2.00) 0.001 0.316
Conceptual thinking (2) 2.00 (1.00–2.00) 1.00 (1.00–2.00) 0.001 1.00 (1.00–2.00) 0.001 0.398
Memory (5) 3.00 (3.00–4.00) 1.00 (1.00–2.00) 0.001 1.00 (1.00–2.00) 0.001 0.913
Orientation (6) 6.00 (5.00–6.00) 5.00 (5.00–6.00) 0.001 5.00 (5.00–6.00) 0.001 0.414

For PD and MSA, Table 3 lists the adjusted ORs for patients with mild cognitive impairment based on the SUA and lipid quartiles. After controlling for sex, MDS-UPDRS III and education, the regression analysis in PD revealed that the probability of mild cognitive impairment was lower in the highest quartiles and secondary quartile of SUA than in the lowest quartiles (OR = 0.281, 95% CI: 0.097–0.810, p = 0.019; and OR = 0.317, 95% CI: 0.110–0.911, p = 0.033, respectively). Moreover, the risk of mild cognitive impairment was higher in the highest quartile of LDL-C and TC than in the lowest quartile (OR = 4.075, 95% CI: 1.407–11.80, p = 0.010; and OR = 4.135, 95% CI: 1.422–12.03, p = 0.009, respectively). There was no significant difference in the probability of mild cognitive impairment between the HDL-C and SCr quartiles. In MSA, the risk of mild cognitive impairment was significantly lower in the third and highest quartile of SUA than in the lowest quartile after controlling for sex and MSA subtypes (OR = 0.233, 95% CI: 0.063–0.868, p = 0.030; and OR = 0.218, 95% CI: 0.058–0.816, p = 0.024, respectively).

Table 3. Result of logistics regression analysis of SUA, lipid profiles and mild cognitive impairment in PD and MSA.
PD
n (%) p-value OR 95% CI
SUA, µmol/L p-value for trend 0.030
<245 38 (25.5) 1.00 reference
245–293 36 (24.2) 0.033 0.317 0.110–0.911
294–342 39 (26.2) 0.658 0.786 0.270–2.286
>342 36 (24.2) 0.019 0.281 0.097–0.810
LDL–C (mmol/L) p-value for trend 0.015
<2.44 34 (22.8) 1.00 reference
2.44–3.02 40 (26.8) 0.226 1.844 0.684–4.971
3.03–3.60 37 (24.8) 0.726 1.193 0.444–3.203
>3.60 38 (25.5) 0.010 4.075 1.407–11.80
TC (mmol/L) p-value for trend 0.022
<4.10 35 (23.5) 1.00 reference
4.10–4.93 37 (24.8) 0.023 3.214 1.173–8.804
4.94–5.65 41 (27.5) 0.248 1.764 0.674–4.623
>5.65 36 (24.2) 0.009 4.135 1.422–12.03
MSA
n (%) p-value OR 95% CI
SUA (µmol/L) p-value for trend 0.019
<239 27 (27.3) 1.00 reference
239–274 23 (23.2) 0.222 0.436 0.115–1.652
275–322.7 22 (22.2) 0.030 0.233 0.063–0.868
>322.7 27 (27.3) 0.024 0.218 0.058–0.816
SCr (µmol/L) p-value for trend 0.115
<50 18 (23.7) 1.00 reference
50–56.7 21 (27.6) 0.789 0.822 0.196–3.445
56.8–72.27 19 (27.6) 0.855 0.865 0.182–4.112
>72.27 18 (23.7) 0.123 0.243 0.040–1.470

LDL-C, low-density-lipoprotein cholesterol; TC, total cholesterol; SUA, serum uric acid; SCr, serum creatinine; OR, odds ratio; CI, confidence intervals. PD: Adjusted for sex, education and MDS-UPDRS III. MSA: Adjusted for sex and MSA subtypes.

Table 4 gives the correlation analysis of MoCA scores with SUA levels. In PD participants, MoCA score was positively related to SUA level (r = 0.206, p = 0.012). SUA levels were positively related to visual perception and executive function (r = 0.194, p = 0.018), language (r = 0.278, p = 0.001), and memory (r = 0.216, p = 0.008). In MSA participants, MoCA score was positively related to SUA level (r = 0.353, p = 0.001). SUA levels were positively related to visual perception and executive function (r = 0.301, p = 0.002), naming (r = 0.251, p = 0.012), attention (r = 0.257, p = 0.010), language (r = 0.342, p = 0.001), memory (r = 0.323, p = 0.001), and orientation (r = 0.219, p = 0.029).

Table 4. Correlation of SUA levels with MoCA scores in PD and MSA.
PD MSA
r p-value r p-value
MoCA 0.206 0.012 0.353 0.001
Visual perception and Executive function (5) 0.194 0.018 0.301 0.002
Naming (3) 0.004 0.963 0.251 0.012
Attention (3) 0.158 0.054 0.257 0.010
Calculation (3) 0.069 0.402 0.126 0.215
Language (3) 0.278 0.001 0.342 0.001
Conceptual thinking (2) 0.032 0.694 0.172 0.088
Memory (5) 0.216 0.008 0.323 0.001
Orientation (6) 0.109 0.187 0.219 0.029

Table 5 gives the correlation analysis of MoCA scores with TC and LDL-C levels. In PD participants, MoCA was negatively related to TC level (r = –0.226, p = 0.006). TC levels were negatively related to visual perception and executive function (r = –0.207, p = 0.011), calculation (r = –0.214, p = 0.009) and orientation (r = –0.228, p = 0.005). LDL-C levels were negatively related to visual perception and executive function (r = –0.170, p = 0.038).

Table 5. Correlation of LDL-C and TC levels with MoCA scores in PD.
LDL-C TC
r p-value r p-value
MoCA –0.130 0.113 –0.226 0.006
Visual perception and Executive function (5) –0.170 0.038 –0.207 0.011
Naming (3) –0.017 0.836 –0.105 0.202
Attention (3) 0.055 0.502 –0.065 0.432
Calculation (3) –0.065 0.431 –0.214 0.009
Language (3) –0.045 0.582 –0.124 0.133
Conceptual thinking (2) –0.066 0.427 –0.109 0.187
Memory (5) –0.066 0.424 –0.134 0.102
Orientation (6) –0.106 0.196 –0.228 0.005
4. Discussion

In this study the characteristics of cognitive decline in PD and MSA were explored. When compared with patients with normal cognition, patients with PD and MSA who had mild cognitive impairment demonstrated a total field of cognitive decline, not limited to one field. Although the decline in attention was more marked in patients with MSA who had mild cognitive impairment than PD patients who had mild cognitive impairment, there were no obvious changes in other areas of cognition. Mild cognitive impairment in PD and MSA demonstrates a broad range of affected cognitive fields.

The relationships among SUA, lipid levels and cognitive function in PD and MSA were also explored. This study showed that PD patients with mild cognitive impairment had lower SUA level than patients without such impairment. The same results were found in MSA patients. In the case of PD, patients with mild cognitive impairment had higher TC and LDL-C than patients without mild cognitive impairment. After adjusting for confounders, results showed that low SUA levels were still related to the risk of mild cognitive impairment in PD and MSA. High TC and LDL-C levels were significantly related to the risk of mild cognitive impairment in PD. Both PD MoCA scores and MSA MoCA scores were positively correlated with SUA levels. Further, MoCA scores of PD were negatively correlated with TC levels.

There are some similarities between PD and MSA, such as abnormal accumulation of α-synuclein protein and progressive course and deterioration of motor and non-motor functions. Despite the common occurrence of cognitive dysfunction, its treatment in PD and MSA is localized and no medications slowed its progression. Dopaminergic treatment for motor symptoms does not permanently modify cognitive disorders. Identification of comorbidities that impact the rate of progression of cognitive disorder in PD and MSA could offer opportunities for intervention and improved outcome [19]. Consequently, to evaluate the severity and process of the disease with respect to motor and non-motor dysfunctions, it is critical to investigate the mechanisms of the disease and particular biomarkers [20].

Here, a retrospective investigation was undertaken to understand the connection between lipid levels and cognitive function in MSA and PD. The study demonstrated that high TC and LDL-C were significantly related to mild cognitive impairment in patients with PD. The role that cholesterol has on cognition is controversial. However, the findings reported here raise the possibility that TC and LDL-C may play a detrimental role in cognitive function in PD. High levels of TC and LDL-C have an impact on cerebral blood supply. Elevated TC and LDL-C leads to the development of lipid plaques, which impact cognitive performance by causing cerebral ischemia and hypoxia [21]. The blood–brain barrier can be damaged by high TC levels. Elevated TC levels have been linked to elevated metabolites, such as 24S-hydroxycholesterol and 27S-hydroxycholesterol, which both impair the barrier and allow the entry of inflammatory factors and serum cholesterol [22]. Also, oxidative stress brought on by elevated TC levels damages the membranes of neurons [23].

This study showed a positive relation between the SUA level and the MoCA score in PD and MSA patients, a finding consistent with previous studies [5, 24]. Even with relatively high significance, SUA level had relatively weak-to-moderate correlations with wide ranges of cognitive domains in PD and MSA. One possible reason is that MoCA is not the optimal option for certain cognitive domains. For every cognitive domain, there are more thorough assessments. Future research on every domain of cognition is worthwhile. McFarland et al. [25] explored a negative correlation between SUA levels and PD risk and progression rates, supporting the theory that SUA might have a neuroprotective effect on cognitive function [26, 27]. Huang et al. [28] showed that SUA improved cognitive performances of PD mice and enhanced tyrosine hydroxylase (TH)-positive dopaminergic neurons in the substantia nigra. This neuroprotective function may be explained by the antioxidant and iron-scavenging effects of SUA [7, 28, 29]. When compared to healthy controls, PD patient serum and the substantia nigra had lower levels of uric acid (UA), which made dopamine more vulnerable to oxidative stress [30]. A previous study has demonstrated that urate protects PC12 cells from oxidative damage, which might include the mechanisms that underlie the link between high SUA and lower risk of PD [31]. Cognitive dysfunction in MSA may share a similar pathway.

There were several limitations in this study. First, due to its cross-sectional design, it was difficult to determine whether SUA is a cause of, or results from mild cognitive impairment. Second, the study sample size was relatively small. Third, information about the long-term residence, eating habits and exercise routines of participants was not collected, so the impact of these factors on cognitive function cannot be ruled out.

5. Conclusions

Patients with PD and MSA who had mild cognitive impairment experienced multiple cognitive domain impairment. Attentional impairment was more pronounced in patients with MSA than in PD. The present results show that a low SUA level was a possible risk factor of mild cognitive impairment in patients with PD and MSA. Additionally, high levels of TC and LDL-C might increase the risk of mild cognitive impairment in PD patients. To clarify the effect of SUA and lipid levels on cognitive decline in PD and MSA, larger clinical and prospective studies are required.

Availability of Data and Materials

The data that support the findings of this study are available from the corresponding author Zhihong Shi upon reasonable request.

Author Contributions

Conceptualization: ZS and XR; methodology: XR, ZS and YJ; formal analysis: XR, XL, YJ and HW; investigation: ZS, XR, PW, XL, JZ and SL; resources: ZS, XR, JZ, SL and YJ; writing original draft preparation: XR, and ZS; writing, review and editing: ZS and XR, PW; supervision: ZS and YJ; funding acquisition, YJ, ZS and PW. All authors contributed to editorial changes in the manuscript. All authors read and approved the final manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.

Ethics Approval and Consent to Participate

All patients gave informed consent and the study (No. 2020-100) was authorized by the Tianjin Huanhu Hospital Medical Ethics Committee.

Acknowledgment

Not applicable.

Funding

This work was supported by the Tianjin Science and Technology Plan Project (grant number 22ZYCGSY00840), Tianjin Health Research Project (TJWJ2023QN060), National Natural Science Foundation of China (grant number 82171182), and Tianjin Key Medical Discipline (Specialty) Construction Project (grant number TJYXZDXK-052B).

Conflict of Interest

The authors declare no conflict of interest.

References

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