Constipation is a common but not a universal feature in early PD, suggesting that gut involvement is heterogeneous and may be part of a distinct PD subtype with prognostic implications. We analysed data from the Parkinson’s Incidence Cohorts Collaboration, composed of incident community-based cohorts of PD patients assessed longitudinally over 8 years. Constipation was assessed with the MDS-UPDRS constipation item or a comparable categorical scale. Primary PD outcomes of interest were dementia, postural instability and death. PD patients were stratified according to constipation severity at diagnosis: none (n = 313, 67.3%), minor (n = 97, 20.9%) and major (n = 55, 11.8%). Clinical progression to all three outcomes was more rapid in those with more severe constipation at baseline (Kaplan–Meier survival analysis). Cox regression analysis, adjusting for relevant confounders, confirmed a significant relationship between constipation severity and progression to dementia, but not postural instability or death. Early constipation may predict an accelerated progression of neurodegenerative pathology.
Although Parkinson’s disease (PD) is characterized as a movement disorder, it is associated with significant non-motor features including gastrointestinal (GI) dysfunction1,2 such as constipation, dysphagia, sialorrhea, delayed gastric emptying and reflux3,4. Constipation is one of the most common non-motor PD symptoms5 and can significantly impact on the patient’s quality of life6. Individuals with constipation are at greater risk of developing PD7 and it is now a recognized feature of prodromal PD8,9.
Research efforts on the gut–brain axis have increased dramatically and there is accumulating evidence for a possible role of gut dysfunction in the early pathogenesis of PD10,11,12; however, its link to disease progression has received less attention13,14. James Parkinson, in An Essay on the Shaking Palsy15, reported the amelioration of PD symptoms in two cases following the alleviation of constipation after laxative prescription, which made him question the role of the GI tract in the disease process. More recent studies16,17 reporting motor improvement following constipation treatment suggest that, more than 200 years later, the question remains of interest but more basic and clinical research evidence is needed to confirm this association.
It has been proposed that changes in gut function may impact on PD through alteration in the gut microbiota composition11. Clinical trials with probiotics (Clinicaltrials.gov identifier NCT04140760) and faecal microbiota transplantation (Clinicaltrials.gov identifier NCT03808389) are being explored as novel therapeutic approaches18. The mechanistic basis of this is unclear, but one hypothesis is that early alpha-synuclein pathology in the enteric nervous system in PD leads to reduced gut motility, which results in changes in the microbiome. Both local alpha-synuclein deposition and an altered microbiome may contribute to low-grade gut and systemic inflammation, in turn exacerbating brain inflammation and neurodegeneration and leading to more rapid disease progression19,20. While it could be argued that early pathological changes in the enteric nervous system in PD and associated constipation simply reflect a more malignant disseminated disease process, this seems unlikely given that constipation can predate the onset of motor symptoms in PD by 10–16 years21.
To date, although there are effective therapies for some of the key motor features of PD, there are still no disease-modifying treatments. At the 10 year longitudinal assessment of an incident population-representative PD cohort (CamPaIGN), only 23% of patients had a good outcome (surviving free of dementia/postural instability), while 68% of patients had developed postural instability and 46% had developed dementia22. Constipation is a relatively preventable and treatable aspect of PD, and if found to be causally linked to long-term PD prognosis, warrants further consideration as a target for disease modification.
Three participants with missing constipation items and two patients with Mini Mental State Examination (MMSE) scores highly suggestive of dementia (MMSE < 18) at the baseline visit were excluded. For survival analysis of postural instability, patients with H&Y3+ at baseline were excluded (n = 44). The total sample size was 465 patients for the dementia and mortality analyses and 421 patients for the postural instability analysis. Participants were longitudinally assessed for up to 8.6 years from diagnosis, with an average follow-up time of 5.1 years (SD = 2.5) from diagnosis.
At baseline, 20.9% of patients had ‘minor’ constipation (n = 97) and 11.8% of patients had ‘major’ constipation (n = 55), while 67.3% of patients (n = 313) did not report any constipation (Table 1). Patients with ‘major’ constipation had higher baseline Movement Disorders Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS-III) scores compared to the ‘minor’ and no constipation groups (p < 0.01). Hoehn and Yahr (H&Y) stage and age were also higher in patients with ‘major’ constipation compared to the no constipation group. Constipated and non-constipated patients did not differ in terms of sex, smoking status, disease duration, time between symptom onset and diagnosis, levodopa equivalent daily dose (LEDD), years of education, MMSE, number of comorbidities at baseline, presence of vascular disease or diabetes, or use of anticholinergic or opiate drugs at baseline.
Kaplan–Meier survival analysis indicated faster progression to dementia in more constipated patients (Fig. 1a). At the study endpoint, the cumulative proportion with dementia was 20.9% of patients in the no constipation group versus 38.3% in the ‘minor’ constipation and 47.0% in the ‘major’ constipation group. The no constipation group had the longest mean time to dementia of 7.5 years (95% CI, 7.3–7.8), followed by the ‘minor’ constipation group at 7.1 years (95% CI, 6.6–7.5) and the ‘major’ constipation group with the shortest time of 6.0 years (95% CI, 5.2–6.8). A log-rank test confirmed that survival distributions for the three groups were significantly different (χ2(2) = 15.364, p < 0.0001). Pairwise log-rank comparisons indicated that this difference was most pronounced for the no constipation versus ‘major’ group (‘major’ versus no constipation χ2(1) = 13.707, p < 0.0001; ‘minor’ versus no constipation χ2(1) = 3.888, p = 0.049; ‘minor’ versus ‘major’ constipation χ2(1) = 3.755, p = 0.053). Cox regression analysis confirmed that constipation severity was a significant predictor of dementia outcome, after adjusting for covariates (Table 2; HR = 1.45, p = 0.008). Similar significant results were obtained if H&Y stage was included as a covariate instead of MDS-UPDRS-III motor score in the Cox regression model (HR(constipation) = 1.35, p = 0.038). To investigate the possibility of selective attrition in the different constipation severity groups, we compared baseline cognitive and baseline motor severity scores between patients who were lost to follow-up without a known dementia outcome (36%) and the group who either reached dementia or remained active at the study’s endpoint (64%). There were no between-group differences in terms of baseline MDS-UPDRS-III and MMSE scores in the ‘minor’ versus ‘major’ constipation groups (data not shown). However in the no constipation group, we observed a marginal difference in baseline MMSE (mean of active group = 28.5, mean of lost to follow-up group = 28.2; U = 12,717.5, Z = 2.050, p = 0.040) and a more significant difference in baseline MDS-UPDRS-III, which was higher in those who were lost to follow-up without a known outcome (mean of active group = 26.9, mean of lost to follow-up group = 33.8; U = 7689.0, Z = −4.539, p < 0.0001). This suggests selective drop-out of patients with more severe motor impairment at baseline in the no constipation group, which could have a confounding effect on our results, but this would not have impacted on the observed difference we found between the ‘minor’ and ‘major’ constipation groups.
Baseline constipation severity was associated with faster progression to development of postural instability as defined by H&Y3 or higher (Fig. 1b). At the study endpoint, the cumulative percentage of patients with an H&Y score ≥3 was 35.4% in the no constipation group versus 52.3% in the ‘minor’ constipation and 59.8% in the ‘major’ constipation group. The no constipation group had the longest mean time to H&Y3+ of 6.9 years (95% CI, 6.6–7.3) compared to 6.4 years (95% CI, 5.9–7.0) in the ‘minor’ constipation group and 5.5. years (95% CI, 4.7–6.3) in the ‘major’ constipation group. H&Y3+ survival distributions for the three constipation severity groups were significantly different (χ2(2) = 9.882, p = 0.007). Pairwise log-rank comparisons indicated that this was mainly driven by the difference between the ‘major’ versus the no constipation group (‘major’ versus no constipation χ2(1) = 7.294, p = 0.007; ‘minor’ versus no constipation χ2(1) = 4.314, p = 0.038; ‘minor’ versus ‘major’ constipation χ2(1) = 1.310, p = 0.252). However, Cox regression analysis did not confirm a statistically significant association between constipation severity and time to postural instability when adjusting for age, sex, baseline MDS-UPDRS-III and cohort study (Table 2).
The association between constipation and time to death was also investigated (Fig. 1c). At the study endpoint, the cumulative mortality proportions were 44.1% in the no constipation group, 49.1% in the ‘minor’ constipation and 64.7% in the ‘major’ constipation group.
Mean time to death was 10.0 years (95% CI, 9.7–10.4) in the no constipation group, and 9.7 years (95% CI, 9.0–10.5) in the ‘minor’ constipation group, while the ‘major’ constipation group had the shortest mean time to death of 8.7 years (95% CI, 7.8–9.6). The survival distributions for the three constipation severity groups were significantly different (χ2(2) = 6.286, p = 0.046), which was driven by the difference between the ‘major’ versus the no constipation group (χ2(1) = 6.105, p = 0.013), with no differences between the ‘minor’ versus no constipation group and between the ‘minor’ and ‘major’ groups (χ2(1) = 0.537, p = 0.463; χ2(1)=1.922, p = 0.166, respectively). This association did not withstand Cox regression analysis after correction for the potentially confounding effects of age, sex, MDS-UPDRS-III, MMSE and study centre (Table 2).
Alternate measures of autonomic and GI dysfunction
Because early autonomic dysfunction has been associated with more rapid disease progression and shorter survival in patients with PD23, we investigated whether constipation was a proxy measure of autonomic dysfunction in our sample. We first conducted a chi square test of independence between constipation severity and postural hypotension. Because 22.2% of expected cell frequencies were lower than five in both tests, we dichotomized the variables and repeated the analysis. Postural hypotension was not significantly higher (p = 0.243) in the constipated group (23.1%) compared with the non-constipated group (17.0%). Cox regression models for groups stratified by postural hypotension (PICNICS cohort, n = 278) did not show any association with time to dementia (HR = 0.58, p = 0.238), postural instability (HR = 1.30, p = 0.305) or death (HR = 0.92, p = 0.674). We also analysed dysphagia as an alternative symptom of GI dysfunction associated with more advanced disease. Dysphagia was significantly higher (p = 0.031) in the constipated group (22.4%) compared with the non-constipated group (14.4%). However, Cox regressions indicated no relationship between dysphagia and time to dementia (HR = 1.03, p = 0.884), time to postural instability (HR = 1.01, p = 0.942) or death (HR = 1.17, p = 0.353).
We investigated the relationship between early constipation and subsequent disease progression in a representative population of incident, community-based PD cases and demonstrated that constipation severity at disease onset predicts faster progression to dementia. Our data also suggest a similar trend for an association with faster motor progression to H&Y stage 3 and death, although these associations did not reach statistical significance in Cox regression modelling with correction for covariates. Our findings support previous research on the association of constipation with disease duration/severity24,25, but our study investigates the predictive relationship of constipation severity at the time of diagnosis with the key disease milestones of dementia, postural instability and death. To date, only one other study by Jones et al.14 has analysed the longitudinal relationship between severity of GI symptoms and cognitive impairment in newly diagnosed PD patients. Jones et al. used a composite GI symptom score rather than constipation per se and explored the relationship between longitudinal GI scores and cognitive performance over time, rather than assessing whether baseline GI symptoms predict subsequent cognitive outcome. Our results are in line with their study which reported that a higher frequency of GI symptoms was associated with worse cognitive performance over 5 years as well as mild cognitive impairment and PD dementia (PDD). Similar to our results, their findings suggested that cognitive function was not significantly related to non-GI autonomic symptoms, indicating that these observations are specific to the GI system rather than to autonomic dysfunction per se.
The pathophysiological basis of this association between early gut dysfunction and PD progression is unknown but accumulation of alpha-synuclein protein aggregates in the gut in early stages of PD has led to the hypothesis that, in a subset of patients, PD pathology may begin in the gut before spreading to connected areas of the nervous system26,27,28. Colonic alpha-synuclein is associated with chronic constipation and pathophysiological changes in the intestinal wall20,29. Patients with early PD have been shown to have increased intestinal permeability, altered microbiota composition, increased bacterial translocation through the gut wall, and higher levels of inflammatory cytokines in the GI tract20. The presence of lipopolysaccharides (LPS) and related bacterial proteins has been shown to be increased in brains of patients with Alzheimer’s Disease, indicating that endotoxins can access the brain30. Furthermore, peripheral administration of LPS in humans can cause rapid microglial activation and increase in peripheral inflammatory cytokines31. So, it is possible that gut changes in PD may trigger a systemic chronic immune response which, in turn, promotes faster progression12,32,33. While the association between the microbiome and dementia risk in PD has not yet been investigated in long-term studies, cognitive dysfunction (particularly impaired attention, mental flexibility and executive function) has been reported to be associated with gut microbiota composition in cross-sectional and longitudinal studies in non-PD cohorts (mainly composed of obese individuals)34,35,36,37. In a population-based cohort study of patients with inflammatory bowel disease, patients had a higher risk of subsequent development of dementia, and with a younger average age of onset than the general population38. In PD, Wijeyekoon et al.39 have found elevated bacterial endotoxin levels in the serum of PD patients compared to controls, particularly in those patients at higher risk of an early dementia. Hence early constipation and associated translocation of bacterial products into the circulation may have particular relevance for cognitive decline in PD.
An alternative explanation for our observation is that the early constipation associated with a more rapid development to a dementia reflects a more malignant disseminated form of PD, with widespread evolving alpha-synuclein pathology from disease onset. This fits with the observation that constipation has been associated cross-sectionally with disease severity at baseline40 but arguing against this interpretation is the fact that in our study, constipation was associated with dementia independently of disease motor severity at baseline. Of note, while constipated patients had significantly higher rates of dysphagia (an alternate measure of GID), at baseline, this was not independently associated with time to dementia, postural instability or death. Similarly, baseline postural hypotension (an alternative measure of autonomic dysfunction) was not associated with later disease outcomes. Importantly, our data indicated no difference between constipation groups in terms of disease duration, or motor symptom onset to diagnosis time, suggesting that those with ‘major’ constipation were not temporally more advanced in their disease course. Furthermore, constipation commonly occurs as a prodromal symptom many years before the onset of the typical motor and non-motor features of PD21, which suggests it is not merely an indicator of more advanced disease or dysautonomia.
Increasing evidence of distinct subtypes of PD with differential progression trajectories holds important clinical implications41,42. Fereshtehnejad et al.43 postulated that PD presenting features can be clustered into three PD subtypes with different prognostic trajectories, mainly motor/slow progression (cluster I), diffuse/malignant (cluster II) and intermediate (cluster III). Despite equivalent age and disease duration between groups, patients in the malignant and intermediate clusters presented with high constipation scores and other non-motor symptoms such as orthostatic hypotension and REM sleep behaviour disorder (RBD), unlike the slow progression subtype44. Furthermore, clusters II and III were associated with faster cognitive decline. These results support our finding that minor and major constipation problems at diagnosis are associated with faster onset to PDD.
Major strengths of this study are the use of a large population-representative cohort with incident, community-based PD and a prospective follow-up period of up to 8 years after diagnosis. This minimized selection bias and increased diagnostic certainty and information on long-term prognosis. However, the study has limitations. Despite the prolonged longitudinal follow-up, non-survival distributions did not reach 50% of our sample and extended follow-up would allow for an increased number of events which will then permit calculations of median times to outcome. Attrition is a common issue in longitudinal studies and can introduce bias if there is selective drop out of cases at higher risk of the outcome of interest. We did find that among cases with no constipation, those who were lost to follow-up without a dementia outcome had more motor impairment at baseline. It is possible that this led to an underestimation of cumulative dementia incidence in the no constipation group. GI comorbidities and laxative use may have influenced constipation severity in these cohorts, but detailed information on these factors was not available. However, we investigated the potential confounding effects of vascular disease, diabetes, anticholinergic and opiate medication that have previously been associated with cognitive decline or constipation severity and found no difference between the constipation groups. We also did not have data on diet, which may affect bowel function, the microbiome and risk of cognitive impairment independently. However, irrespective of the aetiology of constipation, and the effects of GI treatment on this, we confirmed a link with faster subsequent disease progression, which supports the hypothesis that measures to reduce constipation may be beneficial in terms of disease modification, assuming these are causally linked.
Given the evidence that RBD is an important prodromal and prognostic feature in PD and seems to be associated with constipation42,45 it would have been interesting to have data on RBD status. Unfortunately, polysomnography studies are difficult to incorporate in large longitudinal studies and the REM Sleep Behavior Disorder Screening Questionnaire (RBDSQ)46 was only published after the start of these cohort studies; thus, these data were not collected. A final limitation is the lack of a dedicated constipation/GI questionnaire for stratification of the sample. We used the constipation item of the MDS-UPDRS, which is commonly used in PD research studies24. A number of different methods for evaluating constipation have been used by previous authors, such as the SCOPA-AUT14 or the NMSS47. To date, no PD-specific psychometric instrument that reflects ROME-IV48 criteria is available. Objective measures of gut transit time may be more sensitive for detecting colonic dysfunction than symptom-based questionnaires4, but are difficult to incorporate in large longitudinal studies. It is possible that our method of quantifying constipation led to an underestimation of incidence and severity, and further studies with more detailed constipation assessment are needed to validate our findings.
In summary, our findings support the importance of studying constipation in PD, showing that the presence and severity of this symptom around the time of diagnosis is predictive of subsequent progression to dementia. This supports the hypothesis that, in a subset of patients, early constipation may be associated with an accelerated progression of neurodegenerative pathology in the brain, although the mechanism by which this occurs is currently unknown.
We used data from the Parkinson’s Incidence Cohorts Collaboration (PICC), a project that has pooled data from six prospective PD incidence cohorts in Northern Europe (CamPaIGN, ICICLE-PD, NYPUM, ParkWest, PICNICS and PINE)49. All patients were diagnosed with idiopathic PD using UK Parkinson’s Disease Society Brain Bank criteria. Each study collected demographic, clinical and genetic data close to the time of diagnosis and at regular follow-up visits thereafter. Ethical approval for each study was obtained from the relevant local ethics committees and all participants gave written informed consent. Data on constipation at baseline were available for two datasets: PICNICS (n = 280) and ParkWest (n = 190). PICNICS follow-up assessments were performed every 18 months up to five visits, and ParkWest follow-up assessments were performed every 12 months up to seven visits. Motor features were assessed using the MDS-UPDRS-III in the PICNICS cohort and the UPDRS-III in the ParkWest cohort (the latter was converted to MDS-UPDRS-III score using the formula proposed by Goetz et al.)50. The MMSE was used in both cohorts to assess global cognitive function. The number of comorbidities at baseline was quantified in terms of the number of organ systems affected using the Cumulative Illness Rating Scale (CIRS)51 for PICNICS and the Charlson Comorbidity Index52 (CCI) for ParkWest. Presence of vascular disease and diabetes at baseline was also specifically explored given that they have been implicated in dementia risk. Vascular conditions included hypertension, angina, myocardial infarction, peripheral vascular disease, cerebrovascular disease (transient ischaemic attack, stroke) and atrial fibrillation/cardiac arrhythmia. LEDD was calculated according to an adapted version of the Tomlinson formula53 for both cohorts. Use of anticholinergic drugs and opiate-based drugs was recorded at baseline. Constipation presence and severity was assessed using item 1.11 of the MDS-UPDRS in the PICNICS study and a comparable interview-based question for ParkWest with a severity scale of 0–3. According to scores on this constipation item at the participants’ baseline visit, the sample was stratified into three groups: no constipation (score = 0), minor (score = 1) and major (score ≥ 2) constipation. Dysphagia at baseline was considered as an alternative GI-based predictor of outcome and was assessed using the MDS-UPDRS item 2.3 for PICNICS and a comparable question in ParkWest with a 0–3 severity scale. Postural hypotension was considered as an alternative autonomic predictor of outcome and was assessed using the MDS-UPDRS item 1.12 for the PICNICS cohort but was not assessed in ParkWest. Patients were stratified as ‘none’, ‘minor’ and ‘major’ for dysphagia and postural instability using the same methodology as for constipation.
Outcomes for this study were the development of PDD, postural instability or death. Postural instability was defined as a consistent score of 3 or higher on the H&Y scale, with date of postural instability calculated as the midpoint between the visit at which it was reached, and the preceding visit. PDD onset was defined using the MDS PDD criteria54, with the date of dementia determined similarly using the midpoint rule. Where patients were lost to follow-up from the study, dementia diagnoses were determined from clinical records or death certificates (n = 16/48 PICNICS; n = 2/44 ParkWest), with date of dementia diagnosis being determined using the midpoint between the date that dementia was first recorded and the preceding clinical visit or research appointment, as appropriate. Mortality status was obtained by continual follow-up, including review of clinical notes and death certificates. Time to outcome (in years) was computed by calculating the difference in days between outcome date and PD diagnosis date and dividing by 365.
Data were analysed using IBM SPSS Statistics (Version 25). A significance threshold of p < 0.05 was used. Graphs were generated using Graphpad Prism version 8. Because Shapiro–Wilk’s test did not confirm distribution normality for continuous variables we used the Kruskal–Wallis test for between-group comparisons. Chi square tests of independence were used for between-group comparisons for sex, smoking status, dysphagia, postural hypotension, presence of vascular disease and diabetes, use of opiate or anticholinergic medication.
Kaplan–Meier survival analyses of PD outcomes were performed in groups stratified according to constipation severity, with date of diagnosis as time = 0, and censoring at the last assessment for dementia and postural instability analyses and at the study endpoint for the mortality analysis. The proportional hazards assumption was checked by visual inspection of Kaplan–Meier plots by level of covariates. Survival to the events did not exceed 50% at the longest time point in the no constipation and ‘minor’ constipation groups; thus, median times could not be calculated and mean times are reported instead. Pairwise log-rank comparisons were conducted to compare Kaplan–Meier curves between groups. Cox regression analyses were performed to control for relevant covariates (age, sex, study cohort, baseline motor severity (MDS-UPDRS-III) and baseline global cognitive score (MMSE). Constipation was used as an interval dependent variable. H&Y score was not included in the model because of collinearity with MDS-UPDRS-III motor score. We tested an interaction effect between study and constipation and it was non-significant, thus not included in the regression models. For the dementia analysis, education was also added to the regression model but was found to be not significant and thus not included.
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Anonymized data for all six cohorts included in PICC are available upon reasonable request by any qualified investigator.
No custom codes were used. All software and packages, their versions, relevant specification and parameters are stated in the ‘Methods' section.
Chaudhuri, K. R. et al. International multicenter pilot study of the first comprehensive self-completed nonmotor symptoms questionnaire for Parkinson’s disease: The NMSQuest study. Mov. Disord. 21, 916–923 (2006).
Fasano, A., Visanji, N. P., Liu, L. W., Lang, A. E. & Pfeiffer, R. F. Gastrointestinal dysfunction in Parkinson’s disease. Lancet Neurol. 14, 625–639 (2015).
Park, H. et al. Characterization of gastrointestinal disorders in patients with parkinsonian syndromes. Parkinsonism Relat. Disord. 21, 455–460 (2015).
Knudsen, K. et al. Objective colonic dysfunction is far more prevalent than subjective constipation in Parkinson’s disease: s colon transit and volume study. J. Parkinsons Dis. 7, 359–367 (2017).
Chen, H. et al. Meta-analyses on prevalence of selected Parkinson’s nonmotor symptoms before and after diagnosis. Transl. Neurodegener. 4, 1–8 (2015).
Shibley, R., Griffin, H. J., Quinn, N. P. & Jahanshahi, M. Quality of life in Parkinson’s disease: yhe relative importance of the symptoms. Mov. Disord. 23, 1428–1434 (2008).
Adams-Carr, K. et al. Constipation preceding Parkinson’s disease: a systematic review and meta-analysis. J. Neurol. Neurosurg. Psychiatry 87, 710–716 (2016).
Heinzel, S. et al. Update of the MDS research criteria for prodromal Parkinson’s disease. Mov. Disord. 34, 1464–1470 (2019).
Stokholm, M. G., Danielsen, E. H., Hamilton‐Dutoit, S. J. & Borghammer, P. Pathological alpha-synuclein in gastrointestinal tissues from prodromal Parkinson disease patients. Ann. Neurol. 79, 940–949 (2016).
Fenyi, A. et al. Detection of alpha-synuclein aggregates in gastrointestinal biopsies by protein misfolding cyclic amplification. Neurobiol. Dis. 129, 38–43 (2019).
Sampson, T. R. et al. Gut microbiota regulate motor deficits and neuroinflammation in a model of Parkinson’s disease. Cell 167, 1469–1480.e12 (2016).
Houser, M. C. & Tansey, M. G. The gut-brain axis: is intestinal inflammation a silent driver of Parkinson’s disease pathogenesis? npj Park Dis. 3, 1–9 (2017).
Camacho, M. et al. Early gastrointestinal dysfunction is predictive of faster progression in Parkinson’s disease. In: Movement Disorders Vol. 33, S729–S729 (Wiley, 2018).
Jones, J. D., Rahmani, E., Garcia, E. & Jacobs, J. P. Gastrointestinal symptoms are predictive of trajectories of cognitive functioning in de novo Parkinson’s disease. Park Relat. Disord. 72, 7–12 (2020).
Parkinson, J. An Essay on the Shaking Palsy (Neely and Jones, 1817).
Borody, T., Torres, M., Campbell, J., Hills, L. & Ketheeswaran, S. Treatment of severe constipation improves Parkinson’s disease (PD) symptoms. Am. J. Gastroenterol. 104, S367 (2009).
Augustin, A. D. et al. Quantifying rigidity of Parkinson’s disease in relation to laxative treatment: a service evaluation. Br. J. Clin. Pharmacol. 441–450. https://doi.org/10.1111/bcp.12967 (2016).
Gazerani, P. Probiotics for Parkinson’s disease. Int. J. Mol. Sci. 20, https://doi.org/10.3390/ijms20174121 (2019).
Saji, N. et al. Analysis of the relationship between the gut microbiome and dementia: a cross-sectional study conducted in Japan. Sci. Rep. 9, 1–9 (2019).
Forsyth, C. B. et al. Increased intestinal permeability correlates with sigmoid mucosa alpha-synuclein staining and endotoxin exposure markers in early Parkinson’s disease. PLoS ONE 6, https://doi.org/10.1371/journal.pone.0028032 (2019).
Fereshtehnejad, S. M. et al. Evolution of prodromal Parkinson’s disease and dementia with Lewy bodies: a prospective study. Brain 142, 2051–2067 (2019).
Williams-Gray, C. H. et al. The CamPaIGN study of Parkinson’s disease: 10-year outlook in an incident population-based cohort. J. Neurol. Neurosurg. Psychiatry 84, 1258–1264 (2013).
De Pablo-Fernandez, E. et al. Association of autonomic dysfunction with disease progression and survival in Parkinson disease. JAMA Neurol. 74, 970–976 (2017).
Pagano, G. et al. Constipation is not associated with dopamine transporter pathology in early drug-naïve patients with Parkinson’s disease. Eur. J. Neurol. 25, 307–312 (2018).
Zhou, Y., Su, Y., Xu, W., Wang, W. & Yao, S. Constipation increases disability and decreases dopamine levels in the nigrostriatal system through gastric inflammatory factors in Parkinson’s disease. Curr. Neurovasc. Res. 16, 241–249(9) (2019).
Hawkes, C. H., Del Tredici, K. & Braak, H. Parkinson’s disease: a dual-hit hypothesis. Neuropathol. Appl. Neurobiol. 33, 599–614 (2007).
Rietdijk, C. D., Perez-Pardo, P., Garssen, J., van Wezel, R. J. A. & Kraneveld, A. D. Exploring Braak’s hypothesis of parkinson’s disease. Front. Neurol. 8, https://doi.org/10.3389/fneur.2017.00037 (2017).
Killinger, B. A. et al. The vermiform appendix impacts the risk of developing Parkinson’s disease. Sci. Transl. Med. 10, 31 (2018).
Bu, J., Liu, J., Liu, K. & Wang, Z. Diagnostic utility of gut α-synuclein in Parkinson’s disease: a systematic review and meta-analysis. Behav. Brain Res. 364(August 2018), 340–347 (2019).
Zhan, X. et al. Gram-negative bacterial molecules associate with Alzheimer’s disease pathology. Neurology 87, 2324–2332 (2016).
Sandiego, C. M. et al. Imaging robust microglial activation after lipopolysaccharide administration in humans with PET. Proc. Natl Acad. Sci. USA 112, 12468–12473 (2015).
Williams-gray, C. H. et al. serum immune markers and disease progression in an Incident Parkinson’s Disease Cohort (ICICLE-PD). Mov. Disord. 31, 995–1003 (2016).
Rooks, M. G. & Garrett, W. S. Gut microbiota, metabolites and host immunity. Nat. Rev. Immunol. 16, 341–352 (2016).
Fernandez-Real, J. M. et al. Gut microbiota interacts with brain microstructure and function. J. Clin. Endocrinol. Metab. 100, 4505–4513 (2015).
Blasco, G. et al. The gut metagenome changes in parallel to waist circumference, brain iron deposition, and cognitive function. J. Clin. Endocrinol. Metab. 102, 2962–2973 (2017).
Anderson, J. R. et al. A preliminary examination of gut microbiota, sleep, and cognitive flexibility in healthy older adults. Sleep. Med. 38, 104–107 (2017).
Palomo-Buitrago, M. E. et al. Glutamate interactions with obesity, insulin resistance, cognition and gut microbiota composition. Acta Diabetol. 56, 569–579 (2019).
Zhang, B. et al. Inflammatory bowel disease is associated with higher dementia risk: a nationwide longitudinal study. Gut 1–7, https://doi.org/10.1136/gutjnl-2020-320789 (2020).
Wijeyekoon, R. S. et al. Peripheral innate immune and bacterial signals relate to clinical heterogeneity in Parkinson’s disease. Brain Behav. Immun. 1–16, https://doi.org/10.1016/j.bbi.2020.01.018 (2020).
Hinkle, J. T. et al. Dopamine transporter availability reflects gastrointestinal dysautonomia in early Parkinson disease. Park. Relat. Disord. 55, 8–14 (2018).
Williams-Gray, C. H., Foltynie, T., Brayne, C. E. G., Robbins, T. W. & Barker, R. A. Evolution of cognitive dysfunction in an incident Parkinson’s disease cohort. Brain 130, 1787–1798 (2007).
Borghammer, P. & Van Den Berge, N. Brain-first versus gut-first Parkinson’s disease: a hypothesis. J. Parkinsons Dis. 9, S281–S295 (2019).
Fereshtehnejad, S. M. & Postuma, R. B. Subtypes of Parkinson’s disease: what do they tell us about disease progression? Curr. Neurol. Neurosci. Rep. 17, https://doi.org/10.1007/s11910-017-0738-x (2017).
Fereshtehnejad, S. M. et al. New clinical subtypes of Parkinson disease and their longitudinal progression a prospective cohort comparison with other phenotypes. JAMA Neurol. 72, 863–873 (2015).
Kong, W. L., Huang, Y., Qian, E. & Morris, M. J. Constipation and sleep behaviour disorder associate with processing speed and attention in males with Parkinson’s disease over five years follow-up. Sci. Rep. 10, 1–10 (2020).
Stiasny-Kolster, K. et al. The REM sleep behavior disorder screening questionnaire—a new diagnostic instrument. Mov. Disord. 22, 2386–2393 (2007).
Lubomski, M., Davis, R. L. & Sue, C. M. Gastrointestinal dysfunction in Parkinson’s disease. J. Neurol. 267, 1377–1388 (2020).
Sood, R. & Ford, A. C. Diagnosis: Rome IV criteria for FGIDs-an improvement or more of the same? Nat. Rev. Gastroenterol. Hepatol. 13, 501–502 (2016).
Ramsay, N. et al. Validation of a UPDRS-/MDS-UPDRS-based definition of functional dependency for Parkinson’s disease. Parkinsonism Relat. Disord. 76, 49–53 (2020).
Goetz, C. G., Stebbins, G. T. & Tilley, B. C. Calibration of unified Parkinson’s disease rating scale scores to Movement Disorder Society-Unified Parkinson’s Disease Rating Scale Scores. Mov. Disord. 27, 1239–1242 (2012).
Linn, B. S., Linn, M. W. & Gurel, L. Cumulative illness rating scale. J. Am. Geriatr. Soc. 16, 622–626 (1968).
Charlson, M. E. et al. The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients. J. Clin. Epidemiol. 61, 1234–1240 (2008).
Tomlinson, C. L. et al. Systematic review of levodopa dose equivalency reporting in Parkinson’s disease. Mov. Disord. 25, 2649–2653 (2010).
Dubois, B. et al. Diagnostic procedures for Parkinson’s disease dementia: recommendations from the Movement Disorder Society Task Force. Mov. Disord. 22, 2314–2324 (2007).
We would like to thank all participants and funders of PICC and of the individual cohort studies. Members of PICC Steering Group: Dr. Angus D. Macleod, Dr. Carl E. Counsell, University of Aberdeen (chairperson), UK; Prof. Ole-Bjørn Tysnes, University of Bergen, Norway; Marta Camacho, Dr. Caroline Williams-Gray, University of Cambridge, UK; Dr. Rachael A. Lawson, Newcastle University, UK; Dr. Jodi Maple-Grødem, Prof. Guido Alves, Stavanger University Hospital, Norway; Prof. Lars Forgren, Umeå, Dr. David Backstrom, University, Sweden. We acknowledge the contributions of members of the individual study groups: PICNICS study: Principal investigators: Roger A. Barker, Caroline H. Williams-Gray. Study personnel: Jonathan Evans, Gemma Cummins, David P. Breen, Ruwani Wijeyekoon, Kirsten Scott, Tom Stoker, Julia Greenland, Marta Camacho, Natalie Valle Guzman, Lucy Collins, Simon Stott and Sarah Mason. ParkWest Study: ParkWest Principal investigators: Guido Alves (Norwegian Centre for Movement Disorders, Stavanger University Hospital) and Ole-Bjørn Tysnes (Haukeland University Hospital). Study personnel: Michaela Dreetz Gjerstad, Kenn Freddy Pedersen, Elin Bjelland Forsaa, Veslemøy Hamre Frantzen, Anita Laugaland, Jodi Maple-Grødem, Johannes Lange, Karen Simonsen, Eldbjørg Fiske and Ingvild Dalen, Bernd Müller, Geir Olve Skeie and Marit Renså; Wenche Telstad, Aliaksei Labusau and Jane Kastet; Ineke HogenEsch, Marianne Kjerandsen and Liv Kari Håland; Karen Herlofson, Solgunn Ongre and Siri Bruun. The PICC collaboration was funded by the Chief Scientist Office of the Scottish Government, NHS Education for Scotland, and the Academy of Medical Sciences. The PICNICS study has received funding from the Cure Parkinson’s Trust, the Van Geest Foundation, the Medical Research Council (MRC) and Parkinson’s UK. This work was also supported by the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre Dementia and Neurodegeneration Theme (grant no. 146281). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. M.C. is supported by Centre for Parkinson’s Plus and funded by the Evelyn Trust (proj ref 19/24). R.A.B. is supported by the Wellcome Trust Stem Cell Institute (Cambridge 203151/Z/16/Z). D.P.B. is supported by a Wellcome Clinical Research Career Development Fellowship (214571/Z/18/Z). C.H.W.G. is supported by a RCUK/UKRI Research Innovation Fellowship awarded by the MRC (MR/R007446/1) and by the Cambridge Centre for Parkinson-Plus. The Norwegian ParkWest study has been funded by the Research Council of Norway (grant number 177966) and the Western Norway Regional Health Authority (grant number 911218), and the Norwegian Parkinson’s Disease Association. J.M.-G. and G.A. are supported by the Research Council of Norway (grant number 287842). R.A.L. is supported by a Senior Research Fellowship from Parkinson’s UK (F-1801).
The authors declare no competing interests.
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Camacho, M., Macleod, A.D., Maple-Grødem, J. et al. Early constipation predicts faster dementia onset in Parkinson’s disease. npj Parkinsons Dis. 7, 45 (2021). https://doi.org/10.1038/s41531-021-00191-w
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