Skip Navigation
Skip to contents

JMD : Journal of Movement Disorders

OPEN ACCESS
SEARCH
Search

Articles

Page Path
HOME > J Mov Disord > Volume 15(2); 2022 > Article
Original Article
Fecal Calprotectin in Parkinson’s Disease and Multiple System Atrophy
Jia Wei Hor1,2orcid, Shen-Yang Lim1,2orcid, Eng Soon Khor3orcid, Kah Kian Chong1orcid, Sze Looi Song4orcid, Norlinah Mohamed Ibrahim5orcid, Cindy Shuan Ju Teh6orcid, Chun Wie Chong7orcid, Ida Normiha Hilmi8orcid, Ai Huey Tan1,2orcid
Journal of Movement Disorders 2022;15(2):106-114.
DOI: https://doi.org/10.14802/jmd.21085
Published online: December 24, 2021

1Division of Neurology, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia

2The Mah Pooi Soo & Tan Chin Nam Centre for Parkinson’s Disease and Related Disorders, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia

3Aab Cardiovascular Research Institute (CVRI), University of Rochester Medical Center, Rochester, NY, USA

4Institute for Advanced Studies, University of Malaya, Kuala Lumpur, Malaysia

5Neurology Unit, Department of Medicine, Faculty of Medicine, The National University of Malaysia, Kuala Lumpur, Malaysia

6Department of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia

7School of Pharmacy, Monash University Malaysia, Selangor, Malaysia

8Division Gasteroenterology, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia

Corresponding author: Ai Huey Tan, MD, PhD, FRCP Neurology Laboratory, 6th Floor, South Tower, University of Malaya Medical Centre, Kuala Lumpur 50603, Malaysia / Tel: +60-3-79492891 / E-mail: aihuey.tan@gmail.com
• Received: June 17, 2021   • Revised: September 9, 2021   • Accepted: October 4, 2021

Copyright © 2022 The Korean Movement Disorder Society

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

prev next
  • 7,192 Views
  • 359 Download
  • 13 Web of Science
  • 16 Crossref
  • Objective
    Converging evidence suggests that intestinal inflammation is involved in the pathogenesis of neurodegenerative diseases. Previous studies on fecal calprotectin in Parkinson’s disease (PD) were limited by small sample sizes, and literature regarding intestinal inflammation in multiple system atrophy (MSA) is very scarce. We investigated the levels of fecal calprotectin, a marker of intestinal inflammation, in PD and MSA.
  • Methods
    We recruited 169 subjects (71 PD, 38 MSA, and 60 age-similar nonneurological controls). Clinico-demographic data were collected. PD and MSA were subtyped and the severity assessed using the MDS-UPDRS and UMSARS, respectively. Fecal calprotectin and blood immune markers were analyzed.
  • Results
    Compared to controls (median: 35.7 [IQR: 114.2] μg/g), fecal calprotectin was significantly elevated in PD (median: 95.6 [IQR: 162.1] μg/g, p = 0.003) and even higher in MSA (median: 129.5 [IQR: 373.8] μg/g, p = 0.002). A significant interaction effect with age was observed; between-group differences were significant only in older subjects (i.e., ≥ 61 years) and became more apparent with increasing age. A total of 28.9% of MSA and 18.3% of PD patients had highly abnormal fecal calprotectin levels (≥ 250 μg/g); however, this difference was only significant for MSA compared to controls. Fecal calprotectin correlated moderately with selected blood immune markers in PD, but not with clinical features of PD or MSA.
  • Conclusions
    Elevated fecal calprotectin suggests a role for intestinal inflammation in PD and MSA. A more complete understanding of gut immune alterations could open up new avenues of research and treatment for these debilitating diseases.
Parkinson’s disease (PD) and multiple system atrophy (MSA) are neurodegenerative disorders that are pathologically characterized by the accumulation of insoluble α-synuclein protein in the nervous system, mainly in neurons in the case of PD and glial cells in MSA. Clinically, in addition to having overlapping motor features, patients with PD and MSA commonly experience gastrointestinal (GI) symptoms such as constipation, and pathological α-synuclein has also been found within the enteric nervous system in both conditions [1]. Therefore, there has been a growing recognition of the importance of the “gut-brain axis” in the pathogenesis of these disorders, especially in PD [2,3], including the dysregulation of immune responses in the gut and brain [4].
Studies have demonstrated significantly altered gut microbiome compositions in patients with PD and MSA compared to controls [3,5-8]. In a PD mouse model study, gut microbes were shown to promote neuroinflammatory responses, leading to increased motor disability and α-synuclein deposition in the brain [9]. Interestingly, several colonic biopsy and fecal studies found evidence of intestinal inflammation in PD, somewhat akin to the changes seen in inflammatory bowel disease (IBD) [10]. Devos et al. [10] reported increased mRNA expression of the main proinflammatory cytokines (tumor necrosis factor alpha [TNF-α], interferon gamma [IFN-γ], interleukin 6 [IL-6], and interleukin 1 beta [IL-1β]) in colonic biopsies from 19 PD patients; subsequently, Houser et al. [11] reported elevated levels of IL-1α, 1β, CXCL8, and C-reactive protein in the stool of PD patients. Other studies have shown an epidemiological and genetic link between IBD and PD [12]. Meanwhile, the literature regarding intestinal inflammation in MSA remains very scarce, involving a total of only 12 patients from two studies, which had conflicting results [12,13]. Specifically, Engen et al. [13] performed immunohistochemistry studies of the colonic sigmoid mucosa from 6 MSA patients and found increased lamina propria expression of the endotoxin-related inflammation marker Toll-like receptor 4 (TLR4). In contrast, Rolli-Derkinderen et al. [12] found increased mRNA expression of proinflammatory cytokines in colonic biopsies only in PD (n = 29) but not MSA (n = 6) patients.
Calprotectin is a protein released predominantly from neutrophils during an inflammatory response, with a lesser contribution from monocytes and macrophages [14]. It accounts for approximately 60% of the cytosolic protein in neutrophils and has a direct antimicrobial effect [14]. It is found in various body fluids in proportion to the severity of any existing inflammation; in the healthy state, its concentration in feces is approximately ×6 that of its concentration in plasma [14]. In bowel inflammation, calprotectin is released into the gut lumen by inflammatory cells infiltrating the mucosa. As a noninvasive biomarker of intestinal inflammation, fecal calprotectin is currently widely used for diagnosis and treatment decision-making in IBD [14,15]. Recently, it has emerged as a potentially useful research marker for intestinal inflammation in PD [16], with three cross-sectional case-control studies (n = 34–55 patients) reporting higher levels in PD patients than in controls [16-18]. To our knowledge, there are no published studies on fecal calprotectin in MSA.
In this study, we aimed to validate the findings of elevated fecal calprotectin in a larger cohort of PD patients and to compare this with MSA patients and nonneurological controls. We also aimed to investigate the correlations between fecal calprotectin and the clinical phenotype, including standardized and validated measures of clinical disease severity in PD and MSA.
Subjects
This study was approved by the medical research ethics committees of the University of Malaya Medical Centre (UMMC; ID No.: 201837-6089) and University Kebangsaan Malaysia Medical Centre (UKMMC; ID No.: FF-2019-258), and conducted in accordance with the Declaration of Helsinki. Consecutive patients with PD and MSA attending neurology clinics were recruited by movement disorder neurologists (SYL, AHT, and NMI), together with spousal controls without neurological disorders. Written informed consent was obtained from all subjects. “Clinically probable” PD and MSA were diagnosed according to consensus criteria [3,5]. The exclusion criteria were antibiotic use within the preceding 3 months, probiotic use within the preceding month, a history of colorectal disease or major abdominal/ pelvic surgery, long-term care residence, tube feeding, or an inability to complete the study assessments. Additional exclusion criteria for patients were antiparkinsonian medication initiation within the preceding 3 months and adjustment within the preceding month.
Clinical evaluation
Demographic data were collected. Clinical evaluations included body mass index (BMI), assessment of constipation and cognitive function using the Patient Assessment of Constipation-Symptoms (PAC-SYM), and the Montreal Cognitive Assessment (MoCA). The PD severity was evaluated using the International Parkinson and Movement Disorder Society-Unified PD Rating Scale (MDS-UPDRS) during the ON medication state, while MSA severity was evaluated using the Unified MSA Rating Scale (UMSARS).
Fecal sample collection and calprotectin analysis
Subjects were provided a written protocol for optimal fecal collection (how to avoid sample contamination) and transportation methods. Fecal samples were collected at home by the subjects in sterile containers and were immediately placed on ice. Upon arrival at UMMC or UKMMC, the samples were aliquoted and immediately frozen at -20°C (in most cases, this occurred within 1–3 hours of collection). Fecal calprotectin was measured using an enzyme-linked immunosorbent assay (ELISA; EUROIMMUN Medizinische Labordiagnostika AG; Lubeck, Germany) following the manufacturer’s instructions.
Peripheral blood counts and immunological evaluations
Blood samples were obtained between 8.00–10.00 am after an overnight fast in a subset of subjects (24 PD, 18 MSA, and 56 controls) and immediately sent to the UMMC laboratory for full blood count analysis. The remaining samples were centrifuged within 2 hours of collection, and the extracted serum was immediately stored at -80°C until further analysis. Serum levels of cytokines and their precursors (TNFα, IFNγ, IL-1b, IL-4, IL-6, and IL-17, nuclear factor-kappa-light-chain-enhancer of activated B cells [NF-κb] and caspase-1) were measured using double-antibody sandwich ELISA (Sunred Biological Technology, Shanghai, China).
Statistical analysis
Analyses were performed using SPSS version 21 (IBM Corp., Armonk, NY, USA). Descriptive data for the outcomes were expressed as the mean ± standard deviation (for normally distributed data) or median with interquartile range (nonnormally distributed data). The Shapiro-Wilk test was used to determine the normality of the data before comparisons were made. Categorical data were analyzed using the chi-square test, while continuous data were analyzed using one-way analysis of variance (ANOVA) with Tukey’s honestly significant difference (HSD) test, the Kruskal-Wallis test or the Mann-Whitney test. Generalized linear models were used to investigate the effects of age and constipation severity on between-group differences in fecal calprotectin. Correlation analyses were conducted using Spearman’s rank correlation coefficient test. Two-sided p values < 0.05 were considered to indicate statistical significance. Graphics were generated using the ggplot2 R package in R (version 3.6.3; R Development Core Team, Vienna, Austria).
The demographic and clinical characteristics of the subjects are summarized in Table 1. The PD patients were significantly older than the MSA patients and controls. The MSA and PD patients had significantly worse constipation severity than the controls. Two patients with PD were taking fiber supplements.
Between-group differences in fecal calprotectin
Compared to the controls (median: 35.7 [IQR: 114.2] μg/g of stool), fecal calprotectin levels were significantly elevated in PD (median: 95.6 [IQR: 162.1] μg/g, p = 0.003) and even higher in MSA (median: 129.5 [IQR: 373.8] μg/g, p = 0.002) (Figure 1). There was no significant difference in fecal calprotectin levels between PD and MSA patients (p = 0.405). Using a cutoff value of ≥ 250 μg/g,15 28.9% of MSA patients and 18.3% of PD patients had abnormal fecal calprotectin levels, which were significantly higher than that of controls (8.3%, p = 0.029); post hoc analyses revealed that this difference was significant for MSA vs. controls (p = 0.007) but not between PD vs. controls (p = 0.098) or between PD vs. MSA (p = 0.202) (Figure 1).
As fecal calprotectin has been reported to be higher in older people [14], we examined the effects of age on the between-group differences in fecal calprotectin. We found significant interaction effects between age and disease status in the calprotectin comparisons between PD vs. controls and between MSA vs. controls. These interaction effects are depicted in scatter plots (Figure 2A and B), where the differences in fecal calprotectin levels between PD and controls and between MSA and controls are only apparent in older subjects and become more apparent with increasing age. When the subjects were dichotomized using an age cutoff of 60 years, there were significant differences in fecal calprotectin levels between PD (median: 108.0 [IQR: 185.5] μg/g, p = 0.002) and controls (median: 39.0 [IQR: 113.2] μg/g), and between MSA (median: 150.4 [IQR: 351.9] μg/g, p = 0.011) and controls, in those aged ≥ 61 years (Figure 2C and D). However, there were no significant between-group differences for subjects ≤ 60 years.
Next, we proceeded to analyze constipation severity as a covariate using generalized linear models. Between-group differences in fecal calprotectin levels remained significant for the comparison between MSA vs. controls (p < 0.001) and were borderline significant for the comparison between PD vs. controls (p = 0.085). Notably, constipation severity did not have a significant effect on fecal calprotectin in either model.
Correlations with clinical variables and immunological markers
In the control cohort, fecal calprotectin levels did not correlate with age, sex, smoking status, BMI, or constipation severity (Supplementary Table 1 in the online-only Data Supplement). Fecal calprotectin correlated with age in PD patients with a small effect size (rs = 0.252, p = 0.034). In the PD and MSA subgroups, fecal calprotectin did not correlate with sex, smoking status, disease duration, age of onset, constipation severity, BMI, levodopaequivalent daily dosage, PD motor severity (MDS-UPDRS part III), severity of motor response complications (MDS-UPDRS part IV), MSA severity (total of UMSARS Parts I and II), or cognitive function (Supplementary Tables 2 and 3 in the online-only Data Supplement). In PD, there was no significant difference in fecal calprotectin levels between the tremor-dominant vs. postural instability-gait disorder subtypes (median: 87.7 [IQR: 187.4] vs. 96.9 [IQR: 161.2] μg/g, p = 0.913). In MSA, fecal calprotectin levels were nonsignificantly higher in the parkinsonian vs. cerebellar-predominant subtype (median: 153.1 [IQR: 414.9] vs. 85.6 [IQR: 168.0], p = 0.219).
In PD, fecal calprotectin levels correlated positively with blood monocyte (rs = 0.417, p = 0.048) and eosinophil (rs = 0.542, p = 0.008) counts and negatively with IL-17 (rs = -0.443, p = 0.027) (Supplementary Table 4 in the online-only Data Supplement). In MSA, no correlations were found between fecal calprotectin levels and any of the blood markers (Supplementary Table 4 in the online-only Data Supplement).
Fecal calprotectin was found to be significantly elevated in PD and MSA compared with age-similar nonneurological controls, with no significant difference between PD and MSA. Notably, we found a significant interaction effect with age in our analyses; between-group differences in fecal calprotectin were only significant in older subjects (i.e., ≥ 61 years), and they became more apparent with increasing age. More than a quarter of MSA patients and almost one-fifth of PD patients had highly abnormal fecal calprotectin levels in the range typically seen in patients with active IBD (≥ 250 μg/g) [15]. The difference vs. controls in this comparison was significant only for MSA but not PD. To our knowledge, increased fecal calprotectin has not previously been reported in MSA and is thus a novel finding in our study. Taken together with previous work [10,11,13], our observations support the notion that intestinal inflammation is present in PD and MSA, and age-associated inflammation may further aggravate this process. However, fecal calprotectin did not correlate with the clinical subtype or with the severity of motor and nonmotor features, including GI symptoms and cognitive function, in PD and MSA.
Our observation of elevated fecal calprotectin in PD is in line with the findings of previous studies [16-18]. An overview comparison shows that the fecal calprotectin elevation in PD (means/medians of 54.5, 87.1 and 176.5 μg/g in the different studies) and MSA (129.5 μg/g in this study) was generally less pronounced than that seen in active IBD, likely indicating low-grade or subclinical intestinal inflammation [12]. In IBD, fecal calprotectin levels exceeding 250 μg/g provide better specificity than thresholds of 100 μg/g or 50 μg/g in differentiating active IBD from remission [15]. In one study, ulcerative colitis patients in clinical and endoscopic remission who showed biopsy evidence of active histologic inflammation had a median fecal calprotectin level of 278 μg/g [19], and some authors have suggested fecal calprotectin levels in the range of 50 to 250 or 300 μg/g indicate low-grade intestinal inflammation [20]. However, caution is needed when making comparisons among studies due to issues with the different fecal calprotectin assays, which is discussed further below. Although no studies have evaluated fecal calprotectin in MSA, one small study (n = 6) demonstrated increased expression of TLR4, an endotoxin-related inflammation marker, in the colonic lamina propria of MSA patients [13].
The occurrence of intestinal inflammation in PD and MSA might be related to alterations in the colonic microbiome and metabolome reported in these disorders [3,5-8]. One distinct finding in PD microbiome studies is a reduced abundance of short-chain fatty acid (SCFA)-producing bacteria, and fecal metabolite studies demonstrated reduced fecal SCFA levels in PD patients [3,21]. Interestingly, fecal SCFA levels have also been reported to be reduced in MSA [5]. SCFAs play an important role in microbiota-gutbrain crosstalk through the regulation of inflammatory cascades, blood-brain barrier integrity and neuronal survival [3,22]. SCFAs are major energy substrates for the colonic epithelium, and reduced levels may lead to disruption of gut barrier integrity and intestinal inflammation [3,22]. More recently, a case-control study reported increased fecal calprotectin together with reduced fecal SCFA levels in PD; however, there were no significant correlations between the two parameters [16]. Small intestinal inflammation can also elevate fecal calprotectin [20], and there is evidence implicating small bowel involvement in PD [23]. Epidemiological studies also highlight the relevance of enteric inflammation in PD pathogenesis, with recent studies showing an elevated risk of incident PD among IBD patients [24].
Consistent with previous studies in PD, we did not find any correlations between fecal calprotectin level and sex [17], PD duration [18], Hoehn and Yahr score [17], MDS-UPDRS score [18], PD motor subtype [17], levodopa-equivalent daily dosage [17,18], or constipation severity [17]. Additionally, we did not find any correlation between fecal calprotectin and cognitive function in PD. Only one study found fecal calprotectin to be inversely linked to symptoms of irritable bowel syndrome in PD, the implications of which are currently unclear [16]. Likewise, fecal calprotectin did not correlate with clinical features in MSA patients (cerebellar vs. parkinsonian-predominant subtype, severity as assessed by the total UMSARS Parts I–II, or cognitive function). One possible reason for the overall lack of clinical correlations could be a “ceiling” effect in terms of the intestinal inflammation being relatively low grade in these conditions. Perhaps more importantly, disease manifestations and mechanisms are now understood to be highly heterogeneous, especially in PD, and there is likely to be a variable degree of the contribution of gut-related processes to the pathogenesis of PD and MSA. For example, a “bottom-up” body-first sequence of disease involvement is proposed to occur in some PD patients, but a “top-down” brain-first process takes place in others [25] (in whom intestinal inflammation could be anticipated to play a lesser role). This idea is consistent with previous findings that not all, but only a subset, of PD patients demonstrate an “enteric pro-inflammatory profile.” [10,12]
In our study, we found a larger and more significant difference between MSA vs. controls compared to PD vs. controls. There was also a nonsignificant trend of calprotectin levels being higher in MSA patients than in PD patients. Unlike in PD, where pathogenetic processes both within and outside the brain are well recognized, MSA pathology has hitherto been considered to primarily involve the central rather than peripheral nervous system [26]. Inflammatory changes in the brain, including microglial activation, have been observed in MSA for almost two decades [27]. Studies of peripheral inflammation, as detected by serum inflammatory markers, have produced conflicting results, with earlier work (n = 14 MSA patients) reporting elevations, particularly TNF-α, although no increase was found in a later study involving 27 patients [26]. There were also suggestions that variants in genes associated with gut inflammation, such as nucleotide-binding oligomerization domain protein 2 (NOD2) [28] and leucine-rich repeat kinase 2 (LRRK2) [29], may contribute to MSA susceptibility. Indeed, a large multinational effort recently identified substantial polygenic overlap between MSA and IBD [30]. Taken together, these results support the relevance of the gut-brain axis and gut inflammation in MSA, although additional studies are necessary to more precisely discern their role in disease pathophysiology.
We believe an important point that has not been sufficiently highlighted in previous work on gut-related issues in neurodegenerative disorders is the effect of aging [3,31], which shares many overlapping biological features with disease states, including impaired proteasomal/lysosomal and mitochondrial function, oxidative stress, and inflammation [32]. Similar to PD [3] and MSA [5], aging has also been associated with gut dysbiosis and with multiple contributing factors, such as impaired intestinal barrier and motility, gut immunosenescence, lifestyle changes (e.g., diet, living conditions, physical activity), and health status (e.g., comorbidities, medications, frailty) [33]. Many of these factors interact and modulate each other and converge on chronic low-grade inflammation (“inflammaging”) [33]. Few studies have specifically investigated the influence of aging on fecal calprotectin levels in healthy adults. A small study from South Korea (n = 45) found that the oldest subjects (≥ 70 years) had a mean fecal calprotectin level ×10 higher than that in the ≤ 50 years group (160.3 vs. 15.88 μg/g, p < 0.001), with an intermediate level (mean 35.46 μg/g) seen in the intermediate (51–69 years)-age group [34]. In our study, elevated fecal calprotectin levels in PD and MSA were observed primarily in older patients, with the differences becoming more pronounced with increasing age. Thus, it appears that the superimposition of PD and MSA may further aggravate aging-related changes in the gut.
In a subset of subjects with available blood analyses, fecal calprotectin levels showed few correlations with blood indices, consistent with the findings in another PD case-control study that investigated similar markers [16]. Interestingly, however, moderatesized correlations were observed between fecal calprotectin levels in PD and blood monocytes, eosinophils and IL-17, suggesting that gut inflammatory changes (and/or dysbiosis, as reported by Lin et al. [35]) could potentially be reflected systemically in blood parameters. In our study, fecal calprotectin in PD correlated inversely with serum IL-17, which at first glance may seem surprising, since IL-17 is generally regarded as “proinflammatory [36].” However, IL-17 activity has intriguingly been associated with dual effects, e.g., increased in the gut mucosa of IBD patients, yet its inhibition induced or worsened colitis in human and animal studies [37]. Notably, the combined use of fecal and blood biomarkers has shown superiority to the use of fecal markers alone in detecting endoscopically active IBD [38]. Additional studies are required to understand the systemic effects of intestinal inflammation and dysbiosis and the utility of combining fecal and blood biomarkers in PD and MSA.
Our study has some limitations. The cross-sectional design provides a “snapshot” of differences, and whether elevated fecal calprotectin has a causative role in the development of PD and MSA cannot be answered by this study design. Alternatively, fecal calprotectin levels may also be elevated as a consequence of bowel dysfunction in these disorders. We note that there are some limited data at the group level suggesting a relative stability of fecal calprotectin over the short term (several weeks) in PD [39,40]. Commercial calprotectin assays have variable performance, and currently, there is a lack of assay standardization and universally accepted cutoff values [14]. Furthermore, in our study, there was a substantial overlap in fecal calprotectin levels between patients and controls; therefore, individual patient values may have very limited utility to distinguish PD or MSA versus controls. Other fecal proteins have been assayed as noninvasive markers of intestinal inflammation, such as lactoferrin or S100A12/calgranulin C; however, currently, these are much less well established than calprotectin [14]. Colonoscopy remains the gold standard for diagnosing colonic inflammation. Since this was not done as part of our study protocol because of concerns about the procedural risk, particularly in MSA patients (due to autonomic and laryngeal dysfunction), subclinical intestinal disorders such as IBD or diverticulitis affecting calprotectin levels could not be excluded in this study.
Advantages to assaying calprotectin include its relatively low cost, excellent temperature stability and requirement for only a small amount of fecal sample for analysis, making it likely that this marker will be more widely researched in future studies. Recently, fecal calprotectin was explored in PD clinical trials as a potential therapeutic biomarker for GI-targeted treatments [39,40]. One study documented a significant drop in fecal calprotectin levels after eight weeks of prebiotic treatment using resistant starch [40]; however, another study showed no significant change in fecal calprotectin levels in the face of improved constipation symptoms with probiotic treatment [22,39].
In conclusion, PD and MSA patients had higher levels of fecal calprotectin than controls, providing further support for the presence of intestinal inflammation in these disorders. Beyond observational research, mechanistic and interventional studies are necessary to develop a more complete understanding of the role of intestinal inflammation in these neurodegenerative disorders.
The online-only Data Supplement is available with this article at https://doi.org/10.14802/jmd.21085.

Supplementary Table 1.

Correlations between fecal calprotectin with sociodemographic and clinical characteristics in controls
jmd-21085-suppl1.pdf

Supplementary Table 2.

Correlations between fecal calprotectin with sociodemographic, clinical features and disease severity in patients with PD
jmd-21085-suppl2.pdf

Supplementary Table 3.

Correlations between fecal calprotectin with sociodemographic, clinical features and disease severity in patients with MSA
jmd-21085-suppl3.pdf

Supplementary Table 4.

Correlation between fecal calprotectin level with blood immunological markers in Parkinson’s disease and multiple system atrophy
jmd-21085-suppl4.pdf

Conflicts of Interest

The authors have no financial conflicts of interest.

Funding Statement

This work was supported by the Ministry of Higher Education, Malaysia Fundamental Research Grant Scheme (FRGS) FRGS/1/2018/SKK02/UM/02/1 (to AHT), and a generous donation from the family of Mdm. Chong Fong Chee.

Author Contributions

Conceptualization: Ai Huey Tan, Shen-Yang Lim. Data curation: Jia Wei Hor, Ai Huey Tan, Kah Kian Chong, Eng Soon Khor. Formal analysis: Jia Wei Hor, Ai Huey Tan. Funding acquisition: Ai Huey Tan. Investigation: Jia Wei Hor, Ai Huey Tan, Shen-Yang Lim, Kah Kian Chong, Eng Soon Khor, Norlinah Mohamed Ibrahim. Supervision: Ai Huey Tan, Chun Wie Chong, Sze Looi Song, Cindy Shuan Ju Teh. Visualization: Jia Wei Hor, Ai Huey Tan, Chun Wie Chong. Writing—original draft: Jia Wei Hor, Ai Huey Tan, Shen-Yang Lim. Writing—review & editing: Ai Huey Tan, Shen-Yang Lim, Ida Normiha Hilmi, Norlinah Mohamed Ibrahim, Chun Wie Chong, Sze Looi Song, Cindy Shuan Ju Teh.

We would like to express our sincere thanks to Ms. Siti Hajar Md Desa and Dr Syahira Nabila Kamaruzaman for their help in data collection at Universiti Kebangsaan Malaysia Medical Centre.
Figure 1.
Fecal calprotectin levels in PD, MSA and controls. A: Between-group comparisons were analyzed using the Mann–Whitney U test. Data are expressed as median [interquartile range]. B: Percentage of subjects with highly abnormal calprotectin levels (> 250 µg/g). Between-group comparisons were analyzed using the chi-square test. *denotes statistical significance. PD, Parkinson’s disease; MSA, multiple system atrophy
jmd-21085f1.jpg
Figure 2.
Fecal calprotectin levels in PD, MSA and controls, according to age. A: Scatterplot of fecal calprotectin levels (µg/g) in PD vs. controls against age. B: Scatterplot of fecal calprotectin levels (µg/g) in MSA vs. controls against age. C and D: Comparison of fecal calprotectin levels (µg/g) between PD, MSA and controls in two age groups, 60 years and below and 61 years and above. Between-group comparisons were analyzed using the Mann–Whitney U test. Data are expressed as median [interquartile range]. *denotes statistical significance. PD, Parkinson’s disease; MSA, multiple system atrophy.
jmd-21085f2.jpg
Table 1.
Demographics and clinical characteristics of the recruited subjects
PD (n = 71) MSA (n = 38) Controls (n = 60) p-value
Age, yr 67.8 ± 7.3 62.7 ± 7.8 64.3 ± 6.8 0.001*
Sex, %
Male 69.0 36.8 50.0 0.004*
Ethnicity, % 0.048*
Malay 9.9 7.9 3.3
Chinese 74.6 92.1 88.3
Indian 15.5 0.0 8.3
Smoking status, % 0.233
Current smoker 2.8 2.6 3.3
Past smoker 32.4 21.1 16.7
Never smoked 64.8 76.3 80.0
Body mass index, kg/m2 23.6 ± 3.9 21.8 ± 5.0 24.9 ± 4.2 0.003*
Comorbidities, %
Diabetes mellitus 16.9 5.4 20.0 0.141
Hypertension 31.0 16.2 43.9 0.019
Ischemic heart disease 11.3 13.2 14.0 0.891
Stroke 2.8 8.1 1.8 0.244
Cancer 2.8 10.8 1.8 0.076
Gastrointestinal symptoms
PAC-SYM score (0–36) 5.5 [6] 8.0 [10.0] 1.0 [4.0] < 0.001*§
Less than 3 bowel movements per week, % 90.1 63.2 20.0 < 0.001*
Cognitive function
MoCA score (0–30) 25.0 [7.0] 24.5 [9.0] 27.0 [4] < 0.001*§
Disease duration, onset & LEDD
Disease duration, yr 10.0 [10.0] 3.75 [4.0] < 0.001*§
Age of onset, yr 57.9 ± 10.0 59.1 ± 8.1 0.535
LEDD, mg/d 600.0 [475.0] 300.0 [431.0] < 0.001*§
PD severity and subtype
Motor subtype, % - -
Tremor dominant 19.4 - -
Indeterminate 11.9 - -
PIGD 68.7 - -
MDS-UPDRS part III 30.0 ± 13.3 - -
MDS-UPDRS total 60.7 ± 21.9 - -
Hoehn & Yahr 2.0 [1.0] - -
With motor response complications, % 26.1 - -
MSA severity and subtype
MSA subtype, % - -
MSA-P (predominant parkinsonism) - 57.9 -
MSA-C (predominant cerebellar) - 34.2 -
MSA-PC (mixed) - 7.9 -
UMSARS (total of parts I and II) - 57.2 ± 18.3 -
Hoehn & Yahr - 4.0 [1.0] -

Normally distributed data are presented as the mean ± standard deviation, while nonnormally distributed data are presented as the median [interquartile range].

* significant difference between groups;

analyzed using one-way analysis of variance (ANOVA);

analyzed using chi-square test;

§ analyzed using Kruskal-Wallis test;

score of MDS-UPDRS part IV of one or more.

PD, Parkinson’s disease; MSA, multiple system atrophy; LEDD, levodopa equivalent daily dose; MDS-UPDRS, International Parkinson and Movement Disorder Society-Unified Parkinson’s Disease Rating Scale; UMSARS, Unified Multiple System Atrophy Rating Scale; MoCA, Montreal Cognitive Assessment; PAC-SYM, Patient Assessment of Constipation Symptoms; PIGD, postural instability gait disorder.

  • 1. Pouclet H, Lebouvier T, Coron E, Rouaud T, Flamant M, Toulgoat F, et al. Analysis of colonic alpha-synuclein pathology in multiple system atrophy. Parkinsonism Relat Disord 2012;18:893–895.ArticlePubMed
  • 2. Tremlett H, Bauer KC, Appel-Cresswell S, Finlay BB, Waubant E. The gut microbiome in human neurological disease: a review. Ann Neurol 2017;81:369–382.ArticlePubMed
  • 3. Tan AH, Chong CW, Lim SY, Yap IKS, Teh CSJ, Loke MF, et al. Gut microbial ecosystem in Parkinson disease: new clinicobiological insights from multi-omics. Ann Neurol 2021;89:546–559.ArticlePubMed
  • 4. Houser MC, Tansey MG. The gut-brain axis: is intestinal inflammation a silent driver of Parkinson’s disease pathogenesis? NPJ Parkinsons Dis 2017;3:3.ArticlePubMedPMC
  • 5. Tan AH, Chong CW, Song SL, Teh CSJ, Yap IKS, Loke MF, et al. Altered gut microbiome and metabolome in patients with multiple system atrophy. Mov Disord 2018;33:174–176.Article
  • 6. Romano S, Savva GM, Bedarf JR, Charles IG, Hildebrand F, Narbad A. Meta-analysis of the Parkinson’s disease gut microbiome suggests alterations linked to intestinal inflammation. NPJ Parkinsons Dis 2021;7:27.ArticlePubMedPMC
  • 7. Du J, Huang P, Qian Y, Yang X, Cui S, Lin Y, et al. Fecal and blood microbial 16s rRNA gene alterations in Chinese patients with multiple system atrophy and its subtypes. J Parkinsons Dis 2019;9:711–721.ArticlePubMedPMC
  • 8. Wan L, Zhou X, Wang C, Chen Z, Peng H, Hou X, et al. Alterations of the gut microbiota in multiple system atrophy patients. Front Neurosci 2019;13:1102.ArticlePubMedPMC
  • 9. Sampson TR, , Debelius JW, Thron T, Janssen S, Shastri GG, Ilhan ZE, et al. Gut microbiota regulate motor deficits and neuroinflammation in a model of Parkinson’s disease. Cell 2016;167:1469–1480.e12.ArticlePubMedPMC
  • 10. Devos D, Lebouvier T, Lardeux B, Biraud M, Rouaud T, Pouclet H, et al. Colonic inflammation in Parkinson’s disease. Neurobiol Dis 2013;50:42–48.ArticlePubMed
  • 11. Houser MC, Chang J, Factor SA, Molho ES, Zabetian CP, Hill-Burns EM, et al. Stool immune profiles evince gastrointestinal inflammation in Parkinson’s disease. Mov Disord 2018;33:793–804.ArticlePubMedPMC
  • 12. Rolli-Derkinderen M, Leclair-Visonneau L, Bourreille A, Coron E, Neunlist M, Derkinderen P. Is Parkinson’s disease a chronic low-grade inflammatory bowel disease? J Neurol 2020;267:2207–2213.ArticlePubMed
  • 13. Engen PA, Dodiya HB, Naqib A, Forsyth CB, Green SJ, Voigt RM, et al. The potential role of gut-derived inflammation in multiple system atrophy. J Parkinsons Dis 2017;7:331–346.ArticlePubMed
  • 14. Ayling RM, Kok K. Fecal calprotectin. Adv Clin Chem 2018;87:161–190.ArticlePubMed
  • 15. Lamb CA, Kennedy NA, Raine T, Hendy PA, Smith PJ, Limdi JK, et al. British Society of Gastroenterology consensus guidelines on the management of inflammatory bowel disease in adults. Gut 2019;68:s1–s106.ArticlePubMedPMC
  • 16. Aho VTE, Houser MC, Pereira PAB, Chang J, Rudi K, Paulin L, et al. Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson’s disease. Mol Neurodegener 2021;16:6.ArticlePubMedPMC
  • 17. Schwiertz A, Spiegel J, Dillmann U, Grundmann D, Bürmann J, Faßbender K, et al. Fecal markers of intestinal inflammation and intestinal permeability are elevated in Parkinson’s disease. Parkinsonism Relat Disord 2018;50:104–107.ArticlePubMed
  • 18. Mulak A, Koszewicz M, Panek-Jeziorna M, Koziorowska-Gawron E, Budrewicz S. Fecal calprotectin as a marker of the gut immune system activation is elevated in Parkinson’s disease. Front Neurosci 2019;13:992.ArticlePubMedPMC
  • 19. Guardiola J, Lobatón T, Rodríguez-Alonso L, Ruiz-Cerulla A, Arajol C, Loayza C, et al. Fecal level of calprotectin identifies histologic inflammation in patients with ulcerative colitis in clinical and endoscopic remission. Clin Gastroenterol Hepatol 2014;12:1865–1870.ArticlePubMed
  • 20. Bjarnason I. The use of fecal calprotectin in inflammatory bowel disease. Gastroenterol Hepatol (N Y) 2017;13:53–56.PubMedPMC
  • 21. Unger MM, Spiegel J, Dillmann KU, Grundmann D, Philippeit H, Bürmann J, et al. Short chain fatty acids and gut microbiota differ between patients with Parkinson’s disease and age-matched controls. Parkinsonism Relat Disord 2016;32:66–72.ArticlePubMed
  • 22. Tan AH, Hor JW, Chong CW, Lim SY. Probiotics for Parkinson’s disease: current evidence and future directions. JGH Open 2021;5:414–419.ArticlePubMedPMC
  • 23. Tan AH, Mahadeva S, Thalha AM, Gibson PR, Kiew CK, Yeat CM, et al. Small intestinal bacterial overgrowth in Parkinson’s disease. Parkinsonism Relat Disord 2014;20:535–540.ArticlePubMed
  • 24. Lee HS, Lobbestael E, Vermeire S, Sabino J, Cleynen I. Inflammatory bowel disease and Parkinson’s disease: common pathophysiological links. Gut 2021;70:408–417.ArticlePubMed
  • 25. Horsager J, Andersen KB, Knudsen K, Skjærbæk C, Fedorova TD, Okkels N, et al. Brain-first versus body-first Parkinson’s disease: a multimodal imaging case-control study. Brain 2020;143:3077–3088.ArticlePubMed
  • 26. Kim R, Kim HJ, Kim A, Jang M, Kim A, Kim Y, et al. Does peripheral inflammation contribute to multiple system atrophy? Parkinsonism Relat Disord 2019;64:340–341.ArticlePubMed
  • 27. Williams GP, Marmion DJ, Schonhoff AM, Jurkuvenaite A, Won WJ, Standaert DG, et al. T cell infiltration in both human multiple system atrophy and a novel mouse model of the disease. Acta Neuropathol 2020;139:855–874.ArticlePubMedPMC
  • 28. Cao T, Zhou X, Zheng X, Cui Y, Tsien JZ, Li C, et al. Histone deacetylase inhibitor alleviates the neurodegenerative phenotypes and histone dysregulation in presenilins-deficient mice. Front Aging Neurosci 2018;10:137.ArticlePubMedPMC
  • 29. Herrick MK, Tansey MG. Is LRRK2 the missing link between inflammatory bowel disease and Parkinson’s disease? NPJ Parkinsons Dis 2021;7:26.ArticlePubMedPMC
  • 30. Shadrin AA, Mucha S, Ellinghaus D, Makarious MB, Blauwendraat C, Sreelatha AAK, et al. Shared genetics of multiple system atrophy and inflammatory bowel disease. Mov Disord 2021;36:449–459.ArticlePubMedPMC
  • 31. Tan AH, Mahadeva S, Marras C, Thalha AM, Kiew CK, Yeat CM, et al. Helicobacter pylori infection is associated with worse severity of Parkinson’s disease. Parkinsonism Relat Disord 2015;21:221–225.ArticlePubMed
  • 32. Collier TJ, Kanaan NM, Kordower JH. Aging and Parkinson’s disease: different sides of the same coin? Mov Disord 2017;32:983–990.ArticlePubMedPMC
  • 33. DeJong EN, Surette MG, Bowdish DME. The gut microbiota and unhealthy aging: disentangling cause from consequence. Cell Host Microbe 2020;28:180–189.ArticlePubMed
  • 34. Park SY. Age-related fecal calprotectin concentrations in healthy adults. Korean J Clin Lab Sci 2020;52:181–187.Article
  • 35. Lin CH, Chen CC, Chiang HL, Liou JM, Chang CM, Lu TP, et al. Altered gut microbiota and inflammatory cytokine responses in patients with Parkinson’s disease. J Neuroinflammation 2019;16:129.ArticlePubMedPMC
  • 36. Chen ML, Sundrud MS. Cytokine networks and T-cell subsets in inflammatory bowel diseases. Inflamm Bowel Dis 2016;22:1157–1167.ArticlePubMedPMC
  • 37. Fauny M, Moulin D, D’Amico F, Netter P, Petitpain N, Arnone D, et al. Paradoxical gastrointestinal effects of interleukin-17 blockers. Ann Rheum Dis 2020;79:1132–1138.ArticlePubMed
  • 38. Mak LY, Tong TSM, Cheung KS, Chen LJ, Lui KL, Lau KS, et al. Combined use of common fecal and blood markers for detection of endoscopically active inflammatory bowel disease. Clin Transl Gastroenterol 2020;11:e00138. ArticlePubMedPMC
  • 39. Tan AH, Lim SY, Chong KK, A Manap MAA, Hor JW, Lim JL, et al. Probiotics for constipation in Parkinson disease: a randomized placebo-controlled study. Neurology 2021;96:e772–e782.PubMed
  • 40. Becker A, Pierre Schmartz G, Gröger L, Grammes N, Galata V, Philippeit H, et al. Effects of resistant starch on symptoms, fecal markers and gut microbiota in Parkinson’s disease - the RESISTA-PD Trial. Genomics Proteomics Bioinformatics 2021;Nov. 25. [Epub]. Available from: https://doi.org/10.1016/j.gpb.2021.08.009. Article

Figure & Data

References

    Citations

    Citations to this article as recorded by  
    • Calprotectin in Parkinsonian disease: Anticipation and dedication
      Hayder M. Al-kuraishy, Ali I. Al-Gareeb, Ayah Talal Zaidalkiani, Athanasios Alexiou, Marios Papadakis, Mostafa M. Bahaa, Ammar AL-Faraga, Gaber El-Saber Batiha
      Ageing Research Reviews.2024; 93: 102143.     CrossRef
    • Diagnostic Accuracy of Fecal Calprotectin in Discriminating Organic-Inflammatory Gastrointestinal Diseases and Functional Gastrointestinal Disorders in Older Patients
      Antonella Gallo, Marcello Covino, Silvia Baroni, Sara Camilli, Francesca Ibba, Silvia Andaloro, Maria Chiara Agnitelli, Fiammetta Maria Rognoni, Francesco Landi, Massimo Montalto
      Journal of Personalized Medicine.2024; 14(3): 227.     CrossRef
    • Nocardia cyriacigeorgica Elicits Gut Disturbances in a Leaky Gut Model of Colitis, but Not the Harmful Cascade Leading to Gut-First Parkinson’s Disease
      João Duarte Magalhães, Emanuel Candeias, Inês Melo-Marques, António E. Abreu, Ana Raquel Pereira-Santos, Ana Raquel Esteves, Sandra Morais Cardoso, Nuno Empadinhas
      International Journal of Molecular Sciences.2024; 25(6): 3423.     CrossRef
    • The Effect of Gut Microbiota-Targeted Interventions on Neuroinflammation and Motor Function in Parkinson’s Disease Animal Models—A Systematic Review
      Paul-Ștefan Panaitescu, Vlad Răzniceanu, Ștefania-Maria Mocrei-Rebrean, Vlad Sever Neculicioiu, Hanna-Maria Dragoș, Carmen Costache, Gabriela Adriana Filip
      Current Issues in Molecular Biology.2024; 46(5): 3946.     CrossRef
    • Gut Microbes Associated with Neurodegenerative Disorders: A Comprehensive Review of the Literature
      Christos Koutsokostas, Ermis Merkouris, Apostolos Goulas, Konstantina Aidinopoulou, Niki Sini, Theofanis Dimaras, Dimitrios Tsiptsios, Christoph Mueller, Maria Nystazaki, Konstantinos Tsamakis
      Microorganisms.2024; 12(8): 1735.     CrossRef
    • Advice to People with Parkinson’s in My Clinic: Probiotics and Prebiotics
      Jia Wei Hor, Tzi Shin Toh, Shen-Yang Lim, Ai Huey Tan
      Journal of Parkinson's Disease.2024; : 1.     CrossRef
    • Faecal intestinal permeability and intestinal inflammatory markers in older adults with age-related disorders: a systematic review and meta-analysis
      Nurul Izzati Ahmad Fadzuli, Siong Meng Lim, Chin Fen Neoh, Abu Bakar Abdul Majeed, Maw Pin Tan, Hui Min Khor, Ai Huey Tan, Kalavathy Ramasamy
      Ageing Research Reviews.2024; : 102506.     CrossRef
    • Inflammation in multiple system atrophy
      Marta Leńska-Mieciek, Natalia Madetko-Alster, Piotr Alster, Leszek Królicki, Urszula Fiszer, Dariusz Koziorowski
      Frontiers in Immunology.2023;[Epub]     CrossRef
    • Gut-to-brain spreading of pathology in synucleinopathies: A focus on molecular signalling mediators
      Verena Schmitt, Rebecca Katharina Masanetz, Martin Weidenfeller, Lara Savannah Ebbinghaus, Patrick Süß, Stephan P. Rosshart, Stephan von Hörsten, Friederike Zunke, Jürgen Winkler, Wei Xiang
      Behavioural Brain Research.2023; 452: 114574.     CrossRef
    • Calprotectin, Biomarker of Depression in Patients with Inflammatory Bowel Disease?
      Miorita Melina Iordache, Anca Mihaela Belu, Sabina E. Vlad, Kamer Ainur Aivaz, Andrei Dumitru, Cristina Tocia, Eugen Dumitru
      Medicina.2023; 59(7): 1240.     CrossRef
    • Different pieces of the same puzzle: a multifaceted perspective on the complex biological basis of Parkinson’s disease
      Amica C. Müller-Nedebock, Marieke C. J. Dekker, Matthew J. Farrer, Nobutaka Hattori, Shen-Yang Lim, George D. Mellick, Irena Rektorová, Mohamed Salama, Artur F. S. Schuh, A. Jon Stoessl, Carolyn M. Sue, Ai Huey Tan, Rene L. Vidal, Christine Klein, Soraya
      npj Parkinson's Disease.2023;[Epub]     CrossRef
    • Fecal Calprotectin as an Intestinal Inflammation Marker is Elevated in Glaucoma
      Zuo Wang, Hang Yuan, Xiong Zhu, Jinxia Wang, Wenbo Xiu, Yang Chen, Gao Zhang, Jing Fu, Kun Peng, An Li, Donghua Liu, Xijing Huang, Chong He, Fang Lu
      Biomarkers in Medicine.2023; 17(9): 465.     CrossRef
    • Pesticides and the Microbiome-Gut-Brain Axis: Convergent Pathways in the Pathogenesis of Parkinson’s Disease
      Kristina Kulcsarova, Corinna Bang, Daniela Berg, Eva Schaeffer
      Journal of Parkinson's Disease.2023; 13(7): 1079.     CrossRef
    • The microbiome–gut–brain axis in Parkinson disease — from basic research to the clinic
      Ai Huey Tan, Shen Yang Lim, Anthony E. Lang
      Nature Reviews Neurology.2022; 18(8): 476.     CrossRef
    • The Gut Microbiome–Brain Crosstalk in Neurodegenerative Diseases
      Laura Ghezzi, Claudia Cantoni, Emanuela Rotondo, Daniela Galimberti
      Biomedicines.2022; 10(7): 1486.     CrossRef
    • Gastrointestinal Involvement in Extra-Digestive Disease: Which Is the Role of Fecal Calprotectin?
      Angela Saviano, Marcello Candelli, Christian Zanza, Andrea Piccioni, Alessio Migneco, Veronica Ojetti
      Medicina.2022; 58(10): 1384.     CrossRef

    Comments on this article

    Add a comment
    Figure
    • 0
    • 1
    Related articles
    Fecal Calprotectin in Parkinson’s Disease and Multiple System Atrophy
    Image Image
    Figure 1. Fecal calprotectin levels in PD, MSA and controls. A: Between-group comparisons were analyzed using the Mann–Whitney U test. Data are expressed as median [interquartile range]. B: Percentage of subjects with highly abnormal calprotectin levels (> 250 µg/g). Between-group comparisons were analyzed using the chi-square test. *denotes statistical significance. PD, Parkinson’s disease; MSA, multiple system atrophy
    Figure 2. Fecal calprotectin levels in PD, MSA and controls, according to age. A: Scatterplot of fecal calprotectin levels (µg/g) in PD vs. controls against age. B: Scatterplot of fecal calprotectin levels (µg/g) in MSA vs. controls against age. C and D: Comparison of fecal calprotectin levels (µg/g) between PD, MSA and controls in two age groups, 60 years and below and 61 years and above. Between-group comparisons were analyzed using the Mann–Whitney U test. Data are expressed as median [interquartile range]. *denotes statistical significance. PD, Parkinson’s disease; MSA, multiple system atrophy.
    Fecal Calprotectin in Parkinson’s Disease and Multiple System Atrophy
    PD (n = 71) MSA (n = 38) Controls (n = 60) p-value
    Age, yr 67.8 ± 7.3 62.7 ± 7.8 64.3 ± 6.8 0.001*
    Sex, %
    Male 69.0 36.8 50.0 0.004*
    Ethnicity, % 0.048*
    Malay 9.9 7.9 3.3
    Chinese 74.6 92.1 88.3
    Indian 15.5 0.0 8.3
    Smoking status, % 0.233
    Current smoker 2.8 2.6 3.3
    Past smoker 32.4 21.1 16.7
    Never smoked 64.8 76.3 80.0
    Body mass index, kg/m2 23.6 ± 3.9 21.8 ± 5.0 24.9 ± 4.2 0.003*
    Comorbidities, %
    Diabetes mellitus 16.9 5.4 20.0 0.141
    Hypertension 31.0 16.2 43.9 0.019
    Ischemic heart disease 11.3 13.2 14.0 0.891
    Stroke 2.8 8.1 1.8 0.244
    Cancer 2.8 10.8 1.8 0.076
    Gastrointestinal symptoms
    PAC-SYM score (0–36) 5.5 [6] 8.0 [10.0] 1.0 [4.0] < 0.001*§
    Less than 3 bowel movements per week, % 90.1 63.2 20.0 < 0.001*
    Cognitive function
    MoCA score (0–30) 25.0 [7.0] 24.5 [9.0] 27.0 [4] < 0.001*§
    Disease duration, onset & LEDD
    Disease duration, yr 10.0 [10.0] 3.75 [4.0] < 0.001*§
    Age of onset, yr 57.9 ± 10.0 59.1 ± 8.1 0.535
    LEDD, mg/d 600.0 [475.0] 300.0 [431.0] < 0.001*§
    PD severity and subtype
    Motor subtype, % - -
    Tremor dominant 19.4 - -
    Indeterminate 11.9 - -
    PIGD 68.7 - -
    MDS-UPDRS part III 30.0 ± 13.3 - -
    MDS-UPDRS total 60.7 ± 21.9 - -
    Hoehn & Yahr 2.0 [1.0] - -
    With motor response complications, % 26.1 - -
    MSA severity and subtype
    MSA subtype, % - -
    MSA-P (predominant parkinsonism) - 57.9 -
    MSA-C (predominant cerebellar) - 34.2 -
    MSA-PC (mixed) - 7.9 -
    UMSARS (total of parts I and II) - 57.2 ± 18.3 -
    Hoehn & Yahr - 4.0 [1.0] -
    Table 1. Demographics and clinical characteristics of the recruited subjects

    Normally distributed data are presented as the mean ± standard deviation, while nonnormally distributed data are presented as the median [interquartile range].

    significant difference between groups;

    analyzed using one-way analysis of variance (ANOVA);

    analyzed using chi-square test;

    analyzed using Kruskal-Wallis test;

    score of MDS-UPDRS part IV of one or more.

    PD, Parkinson’s disease; MSA, multiple system atrophy; LEDD, levodopa equivalent daily dose; MDS-UPDRS, International Parkinson and Movement Disorder Society-Unified Parkinson’s Disease Rating Scale; UMSARS, Unified Multiple System Atrophy Rating Scale; MoCA, Montreal Cognitive Assessment; PAC-SYM, Patient Assessment of Constipation Symptoms; PIGD, postural instability gait disorder.


    JMD : Journal of Movement Disorders Twitter
    Close layer
    TOP