Ketogenic Diet Interventions in Parkinson's Disease: Safeguarding the Gut Microbiome (KIM)
Primary Purpose
Parkinson Disease
Status
Not yet recruiting
Phase
Not Applicable
Locations
Study Type
Interventional
Intervention
Mediterranean-Ketogenic Diet
Mediterranean diet supplemented with medium-chain triglyceride oil
Sponsored by
About this trial
This is an interventional supportive care trial for Parkinson Disease focused on measuring Parkinson's Disease, Gut Microbiome, Ketogenic Diet, Mediterranean Diet, Medium-Chain Triglyceride, Life-style Interventions
Eligibility Criteria
Inclusion Criteria:
- Age between 40-85 years
- PD diagnosis based on Movement Disorder Society (MDS) criteria [52]
- Hoehn & Yahr score of 1 to 3
- On stable dopaminergic medication for at least one month
Exclusion Criteria:
- Atypical parkinsonism
- Medical or psychiatric conditions that would prevent full participation in the nutrition intervention
- Significant dysphagia
- Diabetes on insulin
- Anti-coagulation on warfarin
- Inflammatory bowel disease
- Dementia defined by Montreal Cognitive Assessment (MoCA) Scores of less than 21
- Inability to fill in electronic questionnaires or understand study instructions
- Use of immunomodulatory agents
- Probiotic use in the last 4 weeks (except for dietary sources such as yoghurt, kefir etc.), or antibiotic use in the last 3 months prior to the trial
- Use of MCT oil or on ketogenic diet in last 8 weeks prior to the trial
- Allergic to MCT oil, coconut oil, or coconut
Sites / Locations
Arms of the Study
Arm 1
Arm 2
Arm Type
Experimental
Experimental
Arm Label
MeDi(KD-MCT)
MeDi(MCT-KD)
Arm Description
The participants in this arm will first undergo the MeDi-KD intervention followed by the MeDi-MCT intervention, after an 8-week washout period.
The participants in this arm will first undergo the MeDi-MCT intervention followed by the MeDi-KD intervention, after an 8-week washout period.
Outcomes
Primary Outcome Measures
Change from baseline and difference across interventions in measures of fecal and serum calprotectin, a biomarker for gut inflammation.
We will assess changes from baseline in levels of fecal and serum calprotectin, a biomarker for gut inflammation that is found at elevated levels in PD patients, before and after each 8-week intervention. We will also compare the two interventions to determine their relative safety.
Changes from baseline and differences across interventions in other measures of gut health, namely short-chain fatty acid production, gut-barrier integrity, and microbial composition.
We will assess changes from baseline in the following biomarkers of gut health before and after each 8-week intervention:
Short-chain fatty acid (SCFA)/ butyrate production measured in freshly frozen fecal samples Gut microbiome compositions measure in fecal samples. Levels of zonulin, a biomarker for gut-barrier function, measured in fecal and blood serum samples.
We will track any potential adverse events.
Secondary Outcome Measures
The number of participants who completed the study after successful enrollment relative to the total enrolled participants.
We will assess the retention rate of participants with respect to each intervention to determine the feasibility of the proposed dietary interventions.
Percent time spent in clinically relevant levels of ketosis ( equivalent to >0.5 mmol/L) by each participant throughout each intervention.
Adherence to the ketogenic dietary interventions will be measured using breath ketone analyzers (Ketonix). The participants will take daily measurements of their breath ketone levels and record them in their study journal.
Percent time is determined by the number of days they successfully reach clinically relevant levels of ketosis relative to the total intervention days for each intervention (i.e. 56 days).
Full Information
NCT ID
NCT05469997
First Posted
June 15, 2022
Last Updated
December 7, 2022
Sponsor
University of British Columbia
Collaborators
Weston Family Foundation
1. Study Identification
Unique Protocol Identification Number
NCT05469997
Brief Title
Ketogenic Diet Interventions in Parkinson's Disease: Safeguarding the Gut Microbiome
Acronym
KIM
Official Title
Ketogenic Diet Interventions in Parkinson's Disease: Safeguarding the Gut Microbiome
Study Type
Interventional
2. Study Status
Record Verification Date
December 2022
Overall Recruitment Status
Not yet recruiting
Study Start Date
January 2023 (Anticipated)
Primary Completion Date
January 2024 (Anticipated)
Study Completion Date
July 2024 (Anticipated)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
University of British Columbia
Collaborators
Weston Family Foundation
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No
5. Study Description
Brief Summary
Parkinson's Disease (PD) is the second most common neurodegenerative disorder with common gut-related symptoms, which are attributed to alterations in the gut microbiome - the collection of microorganisms that live within the gut. Classical ketogenic diets (KD) have shown to be beneficial in PD and non-PD populations but are associated with alterations in the gut microbiome that are characteristic of a perturbed system. This study aims to investigate the safety of modified Mediterranean-ketogenic interventions that are thought to be safer alternatives to the classical KD, as it relates to the gut microbiome health in patients with PD. We hypothesize that the modified Mediterranean-ketogenic interventions will not be associated with any significant perturbation of the gut microbiome in PD patients.
Detailed Description
Background:
Parkinson's disease (PD), the second most common and the most rapidly growing neurodegenerative disease worldwide [1,2]. Gut-related symptoms are common and often the initial symptoms, suggesting a possible intestinal origin of PD [4]. Over a dozen studies have demonstrated gut dysbiosis in PD with reduced diversity, increased pro-inflammatory capacity, and decreased Short-Chain Fatty Acids (SCFA) production as key characteristics [5-10] and persistently increased relative abundance of Akkermansia [5-17].
Emerging evidence suggests that both ketogenic [18-23] and Mediterranean diets [24-30] have beneficial and likely complementary effects in PD. Mediterranean diets (MeDi) are primarily but not exclusively plant-based [24]. Their promotion of high fiber content intake promotes the production of SCFA and are associated with improved gut microbiome health [25]. Ketogenic diets (KD) are high in fat, adequate in protein and very low in carbohydrates [31]. KD can provide ketone bodies (KB) [32] as an alternative fuel source to glucose, the utilization of which is perturbed in the PD brain [33]. Another method for inducing the state of ketosis is by consumption of ketogenic medium-chain triglycerides (MCTs) [43]. MCTs are converted to KBs, which can readily cross the blood-brain barrier and be used as an energy source [43]. Pilot trials in PD report improved Unified Parkinson's Disease Rating Scale (UPDRS) scores [20], cognitive performance [21] and non-motor symptoms [22] with KD interventions [23].
Several studies of classical KDs in non-PD populations have observed significant alterations in the gut microbiome, including an increase in Akkermansia [47] and a decrease in fecal SCFA levels [50].
By combining the principles of MeDi with ketogenic interventions, we hope to leverage the gut-health promoting aspects of the former with bioenergetics benefits of the latter, in a safe manner. To the best of our knowledge, no clinical trials have been performed into combined ketogenic and Medi-stye dietary interventions in PD yet.
Design:
A proof of concept, random order, cross-over study in participants with PD examining two 8-week interventions: (1) the Mediterranean ketogenic diet (MeDi-KD) and (2) the Mediterranean diet supplemented with medium-chain triglycerides (MeDi-MCT), separated by an 8-week washout period.
Hypothesis:
Neither the MeDi-MCT nor the MeDi-KD (pre-post comparison) will be significantly associated with measures of gut microbiome dysbiosis such as increased gut inflammation, impaired gut-barrier integrity, and reduced SCFA content.
Retention rates for both diets will be at least 75%.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Parkinson Disease
Keywords
Parkinson's Disease, Gut Microbiome, Ketogenic Diet, Mediterranean Diet, Medium-Chain Triglyceride, Life-style Interventions
7. Study Design
Primary Purpose
Supportive Care
Study Phase
Not Applicable
Interventional Study Model
Crossover Assignment
Model Description
This safety study consists of two 8-week interventions (MeDi-MCT and MeDi-KD) in randomized order using a cross-over design, separated by an 8-week washout period. Participants will be randomized into either the MeDi-MCT or the MeDi-KD group for the first phase of the study. After 8-weeks of intervention, they will undergo an 8-week washout period where no interventions will be applied. Subsequently, the participants will commence the second phase of the study by receiving the other study intervention for 8 weeks.
Masking
None (Open Label)
Allocation
Randomized
Enrollment
50 (Anticipated)
8. Arms, Groups, and Interventions
Arm Title
MeDi(KD-MCT)
Arm Type
Experimental
Arm Description
The participants in this arm will first undergo the MeDi-KD intervention followed by the MeDi-MCT intervention, after an 8-week washout period.
Arm Title
MeDi(MCT-KD)
Arm Type
Experimental
Arm Description
The participants in this arm will first undergo the MeDi-MCT intervention followed by the MeDi-KD intervention, after an 8-week washout period.
Intervention Type
Behavioral
Intervention Name(s)
Mediterranean-Ketogenic Diet
Other Intervention Name(s)
MeDi-KD
Intervention Description
In the MeDi-KD group, the participants will adhere to a modified Mediterranean-ketogenic diet. The ketogenic component of the diet will require limiting the intake of carbohydrates to about 10% of all calories consumed in a day, while obtaining most of the energy from healthy fats, mostly from plant-based sources (~70-75% of your daily caloric intake) and lean proteins (~15-20% of your daily caloric intake). The ketogenic ratio (the ratio of fat to carbohydrates) will be gradually increased during the first week from 1:1 to 3:1. The Mediterranean component of the diet will encourage the participants to consume more green leafy vegetables, nuts, and olive oil, while limiting the consumption of processed or fried food, red meat, full-fat dairy, and sweets.
Intervention Type
Dietary Supplement
Intervention Name(s)
Mediterranean diet supplemented with medium-chain triglyceride oil
Other Intervention Name(s)
MeDi-MCT
Intervention Description
The participants will adhere to the Mediterranean diet. In addition, they will be asked to take two daily doses of medium-chain triglyceride oil (MCT oil).
The MCT oil supplement (Nutiva MCT oil, Nutiva Inc.) is approved by Health Canada (NPN: 80086912) and will be used according to its approved condition of use (i.e., source of medium-chain fatty acids which supports energy production in the body at a cellular level [ATP]). Each serving of this product provides 130 Calories from MCTs (14 g) with a C8-C10 ratio of 60:40. Nutiva MCT oil can be mixed into any beverage of choice, but cannot be used for cooking.
participants will start the intervention by taking 5 mL of MCT oil twice daily for the first day to acclimate their bodies to the supplement and gradually increase the dose to 14 g BID by the end of week 1. The participants may be asked to increase the dose to 20 mL of MCT twice daily if tolerability remains positive.
Primary Outcome Measure Information:
Title
Change from baseline and difference across interventions in measures of fecal and serum calprotectin, a biomarker for gut inflammation.
Description
We will assess changes from baseline in levels of fecal and serum calprotectin, a biomarker for gut inflammation that is found at elevated levels in PD patients, before and after each 8-week intervention. We will also compare the two interventions to determine their relative safety.
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
Title
Changes from baseline and differences across interventions in other measures of gut health, namely short-chain fatty acid production, gut-barrier integrity, and microbial composition.
Description
We will assess changes from baseline in the following biomarkers of gut health before and after each 8-week intervention:
Short-chain fatty acid (SCFA)/ butyrate production measured in freshly frozen fecal samples Gut microbiome compositions measure in fecal samples. Levels of zonulin, a biomarker for gut-barrier function, measured in fecal and blood serum samples.
We will track any potential adverse events.
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
Secondary Outcome Measure Information:
Title
The number of participants who completed the study after successful enrollment relative to the total enrolled participants.
Description
We will assess the retention rate of participants with respect to each intervention to determine the feasibility of the proposed dietary interventions.
Time Frame
Post-intervention 1 (Week 8)/Post-intervention 2 (Week 24)
Title
Percent time spent in clinically relevant levels of ketosis ( equivalent to >0.5 mmol/L) by each participant throughout each intervention.
Description
Adherence to the ketogenic dietary interventions will be measured using breath ketone analyzers (Ketonix). The participants will take daily measurements of their breath ketone levels and record them in their study journal.
Percent time is determined by the number of days they successfully reach clinically relevant levels of ketosis relative to the total intervention days for each intervention (i.e. 56 days).
Time Frame
Post-intervention 1 (Week 8)/Post-intervention 2 (Week 24)
Other Pre-specified Outcome Measures:
Title
Changes from baseline in motor and non-motor Parkinson's Disease symptoms after each intervention
Description
Tracking changes from baseline in motor and non-motor Parkinson's disease symptoms using the Movement Disorder Society - Unified Parkinson's Disease Rating Scale (MDS-UPDRS)
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
Title
Tracking changes from baseline in severity of Fatigue Symptoms after each intervention
Description
Tracking changes from baseline in severity of fatigue symptoms in the study participants using the Fatigue Severity Scale (FSS).
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
Title
Changes from baseline in apathy symptoms after each intervention
Description
Using Starkstein Apathy Scale (AS) to track changes from baseline in Apathy symptoms in the study participants after each intervention
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
Title
Changes from baseline in depressive symptoms after each intervention
Description
Using the Beck Depression Inventory II (BDI-II) to track changes in depressive symptoms from baseline in the study participants after each intervention
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
Title
Changes from baseline in Anxiety symptoms after each intervention
Description
Using the Parkinson's Anxiety Scale (PAS) to track changes in anxiety symptoms from baseline in the study participants after each intervention.
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
Title
Tracking changes in the quality of life of the study participants after each intervention
Description
Using the Parkinson's disease questionnaire (PDQ-39) to assess changes from baseline in the quality of life of the study participants after each intervention
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
Title
Assessing changes in capacity for performing physical activities in the study participants after each intervention
Description
Physical Activity Scale for Individuals with Physical Disabilities (PASIPD)
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
Title
Assessing changes in the the stool consistency of the study participants after each intervention
Description
Using Bristol Stool Chart to track the stool consistency of the study participants as they continue adhering to the study interventions.
Time Frame
24 weeks (weeks 1-24)
Title
Assessing the constipation and irritable bowl symptoms in the study participants
Description
Using the Rome III module to track changes from baseline in constipation and irritable bowel symptoms of the study participants after each intervention.
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
Title
Determining the dietary habits of the study participants prior to beginning of the study
Description
Using the Canadian version of the Diet History questionnaire (C-DHQ II) to determine the dietary habits of study participants prior to beginning of the study
Time Frame
Preintervention 1 (Baseline 1)
Title
Tracking changes in the cognitive function of the study participants
Description
Using the National Health Institute Toolbox-Cognitive battery (NIHTB-CB) to assess changes from baseline in the cognitive function of the study participants after each intervention.
Time Frame
Preintervention 1 (Baseline 1)/ Post-intervention 1 (Week 8)/ Pre-intervention 2 (baseline 2; Week 16)/ Post-intervention 2 (Week 24)
10. Eligibility
Sex
All
Minimum Age & Unit of Time
45 Years
Maximum Age & Unit of Time
85 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
Age between 40-85 years
PD diagnosis based on Movement Disorder Society (MDS) criteria [52]
Hoehn & Yahr score of 1 to 3
On stable dopaminergic medication for at least one month
Exclusion Criteria:
Atypical parkinsonism
Medical or psychiatric conditions that would prevent full participation in the nutrition intervention
Significant dysphagia
Diabetes on insulin
Anti-coagulation on warfarin
Inflammatory bowel disease
Dementia defined by Montreal Cognitive Assessment (MoCA) Scores of less than 21
Inability to fill in electronic questionnaires or understand study instructions
Use of immunomodulatory agents
Probiotic use in the last 4 weeks (except for dietary sources such as yoghurt, kefir etc.), or antibiotic use in the last 3 months prior to the trial
Use of MCT oil or on ketogenic diet in last 8 weeks prior to the trial
Allergic to MCT oil, coconut oil, or coconut
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Shayan Keymanesh, BSc. Neuroscience
Phone
7783881375
Email
shayan.keymanesh@ubc.ca
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Silke Appel-Cresswell, MD
Organizational Affiliation
University of British Columbia
Official's Role
Principal Investigator
12. IPD Sharing Statement
Plan to Share IPD
Undecided
Citations:
PubMed Identifier
30287051
Citation
GBD 2016 Parkinson's Disease Collaborators. Global, regional, and national burden of Parkinson's disease, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2018 Nov;17(11):939-953. doi: 10.1016/S1474-4422(18)30295-3. Epub 2018 Oct 1. Erratum In: Lancet Neurol. 2021 Dec;20(12):e7.
Results Reference
background
PubMed Identifier
30584159
Citation
Dorsey ER, Sherer T, Okun MS, Bloem BR. The Emerging Evidence of the Parkinson Pandemic. J Parkinsons Dis. 2018;8(s1):S3-S8. doi: 10.3233/JPD-181474.
Results Reference
background
PubMed Identifier
31521532
Citation
van der Kolk NM, de Vries NM, Kessels RPC, Joosten H, Zwinderman AH, Post B, Bloem BR. Effectiveness of home-based and remotely supervised aerobic exercise in Parkinson's disease: a double-blind, randomised controlled trial. Lancet Neurol. 2019 Nov;18(11):998-1008. doi: 10.1016/S1474-4422(19)30285-6. Epub 2019 Sep 11.
Results Reference
background
PubMed Identifier
31498132
Citation
Borghammer P, Van Den Berge N. Brain-First versus Gut-First Parkinson's Disease: A Hypothesis. J Parkinsons Dis. 2019;9(s2):S281-S295. doi: 10.3233/JPD-191721.
Results Reference
background
PubMed Identifier
27912057
Citation
Sampson TR, Debelius JW, Thron T, Janssen S, Shastri GG, Ilhan ZE, Challis C, Schretter CE, Rocha S, Gradinaru V, Chesselet MF, Keshavarzian A, Shannon KM, Krajmalnik-Brown R, Wittung-Stafshede P, Knight R, Mazmanian SK. Gut Microbiota Regulate Motor Deficits and Neuroinflammation in a Model of Parkinson's Disease. Cell. 2016 Dec 1;167(6):1469-1480.e12. doi: 10.1016/j.cell.2016.11.018.
Results Reference
background
PubMed Identifier
33557896
Citation
Aho VTE, Houser MC, Pereira PAB, Chang J, Rudi K, Paulin L, Hertzberg V, Auvinen P, Tansey MG, Scheperjans F. Relationships of gut microbiota, short-chain fatty acids, inflammation, and the gut barrier in Parkinson's disease. Mol Neurodegener. 2021 Feb 8;16(1):6. doi: 10.1186/s13024-021-00427-6.
Results Reference
background
PubMed Identifier
34500451
Citation
Hirayama M, Ohno K. Parkinson's Disease and Gut Microbiota. Ann Nutr Metab. 2021;77 Suppl 2:28-35. doi: 10.1159/000518147. Epub 2021 Sep 9.
Results Reference
background
PubMed Identifier
31498131
Citation
Boertien JM, Pereira PAB, Aho VTE, Scheperjans F. Increasing Comparability and Utility of Gut Microbiome Studies in Parkinson's Disease: A Systematic Review. J Parkinsons Dis. 2019;9(s2):S297-S312. doi: 10.3233/JPD-191711.
Results Reference
background
PubMed Identifier
32357258
Citation
Cirstea MS, Yu AC, Golz E, Sundvick K, Kliger D, Radisavljevic N, Foulger LH, Mackenzie M, Huan T, Finlay BB, Appel-Cresswell S. Microbiota Composition and Metabolism Are Associated With Gut Function in Parkinson's Disease. Mov Disord. 2020 Jul;35(7):1208-1217. doi: 10.1002/mds.28052. Epub 2020 May 1.
Results Reference
background
PubMed Identifier
32566740
Citation
Wallen ZD, Appah M, Dean MN, Sesler CL, Factor SA, Molho E, Zabetian CP, Standaert DG, Payami H. Characterizing dysbiosis of gut microbiome in PD: evidence for overabundance of opportunistic pathogens. NPJ Parkinsons Dis. 2020 Jun 12;6:11. doi: 10.1038/s41531-020-0112-6. eCollection 2020.
Results Reference
background
PubMed Identifier
30576008
Citation
Barichella M, Severgnini M, Cilia R, Cassani E, Bolliri C, Caronni S, Ferri V, Cancello R, Ceccarani C, Faierman S, Pinelli G, De Bellis G, Zecca L, Cereda E, Consolandi C, Pezzoli G. Unraveling gut microbiota in Parkinson's disease and atypical parkinsonism. Mov Disord. 2019 Mar;34(3):396-405. doi: 10.1002/mds.27581. Epub 2018 Dec 21.
Results Reference
background
PubMed Identifier
32557853
Citation
Nishiwaki H, Ito M, Ishida T, Hamaguchi T, Maeda T, Kashihara K, Tsuboi Y, Ueyama J, Shimamura T, Mori H, Kurokawa K, Katsuno M, Hirayama M, Ohno K. Meta-Analysis of Gut Dysbiosis in Parkinson's Disease. Mov Disord. 2020 Sep;35(9):1626-1635. doi: 10.1002/mds.28119. Epub 2020 Jun 18.
Results Reference
background
PubMed Identifier
25476529
Citation
Scheperjans F, Aho V, Pereira PA, Koskinen K, Paulin L, Pekkonen E, Haapaniemi E, Kaakkola S, Eerola-Rautio J, Pohja M, Kinnunen E, Murros K, Auvinen P. Gut microbiota are related to Parkinson's disease and clinical phenotype. Mov Disord. 2015 Mar;30(3):350-8. doi: 10.1002/mds.26069. Epub 2014 Dec 5.
Results Reference
background
PubMed Identifier
26179554
Citation
Keshavarzian A, Green SJ, Engen PA, Voigt RM, Naqib A, Forsyth CB, Mutlu E, Shannon KM. Colonic bacterial composition in Parkinson's disease. Mov Disord. 2015 Sep;30(10):1351-60. doi: 10.1002/mds.26307. Epub 2015 Jul 16.
Results Reference
background
PubMed Identifier
27591074
Citation
Unger MM, Spiegel J, Dillmann KU, Grundmann D, Philippeit H, Burmann J, Fassbender K, Schwiertz A, Schafer KH. Short chain fatty acids and gut microbiota differ between patients with Parkinson's disease and age-matched controls. Parkinsonism Relat Disord. 2016 Nov;32:66-72. doi: 10.1016/j.parkreldis.2016.08.019. Epub 2016 Aug 26.
Results Reference
background
PubMed Identifier
28195358
Citation
Hill-Burns EM, Debelius JW, Morton JT, Wissemann WT, Lewis MR, Wallen ZD, Peddada SD, Factor SA, Molho E, Zabetian CP, Knight R, Payami H. Parkinson's disease and Parkinson's disease medications have distinct signatures of the gut microbiome. Mov Disord. 2017 May;32(5):739-749. doi: 10.1002/mds.26942. Epub 2017 Feb 14.
Results Reference
background
PubMed Identifier
28843021
Citation
Heintz-Buschart A, Pandey U, Wicke T, Sixel-Doring F, Janzen A, Sittig-Wiegand E, Trenkwalder C, Oertel WH, Mollenhauer B, Wilmes P. The nasal and gut microbiome in Parkinson's disease and idiopathic rapid eye movement sleep behavior disorder. Mov Disord. 2018 Jan;33(1):88-98. doi: 10.1002/mds.27105. Epub 2017 Aug 26.
Results Reference
background
PubMed Identifier
30650523
Citation
Wlodarek D. Role of Ketogenic Diets in Neurodegenerative Diseases (Alzheimer's Disease and Parkinson's Disease). Nutrients. 2019 Jan 15;11(1):169. doi: 10.3390/nu11010169.
Results Reference
background
PubMed Identifier
25101284
Citation
Paoli A, Bianco A, Damiani E, Bosco G. Ketogenic diet in neuromuscular and neurodegenerative diseases. Biomed Res Int. 2014;2014:474296. doi: 10.1155/2014/474296. Epub 2014 Jul 3.
Results Reference
background
PubMed Identifier
15728303
Citation
Vanitallie TB, Nonas C, Di Rocco A, Boyar K, Hyams K, Heymsfield SB. Treatment of Parkinson disease with diet-induced hyperketonemia: a feasibility study. Neurology. 2005 Feb 22;64(4):728-30. doi: 10.1212/01.WNL.0000152046.11390.45.
Results Reference
background
PubMed Identifier
34316598
Citation
Krikorian R, Shidler MD, Summer SS, Sullivan PG, Duker AP, Isaacson RS, Espay AJ. Nutritional ketosis for mild cognitive impairment in Parkinson's disease: A controlled pilot trial. Clin Park Relat Disord. 2019 Aug 6;1:41-47. doi: 10.1016/j.prdoa.2019.07.006. eCollection 2019.
Results Reference
background
PubMed Identifier
30098269
Citation
Phillips MCL, Murtagh DKJ, Gilbertson LJ, Asztely FJS, Lynch CDP. Low-fat versus ketogenic diet in Parkinson's disease: A pilot randomized controlled trial. Mov Disord. 2018 Aug;33(8):1306-1314. doi: 10.1002/mds.27390. Epub 2018 Aug 11. Erratum In: Mov Disord. 2019 Jan;34(1):157.
Results Reference
background
PubMed Identifier
34235637
Citation
Choi A, Hallett M, Ehrlich D. Nutritional Ketosis in Parkinson's Disease - a Review of Remaining Questions and Insights. Neurotherapeutics. 2021 Jul;18(3):1637-1649. doi: 10.1007/s13311-021-01067-w. Epub 2021 Jul 7. Erratum In: Neurotherapeutics. 2021 Jul 26;:
Results Reference
background
PubMed Identifier
26556369
Citation
Davis C, Bryan J, Hodgson J, Murphy K. Definition of the Mediterranean Diet; a Literature Review. Nutrients. 2015 Nov 5;7(11):9139-53. doi: 10.3390/nu7115459.
Results Reference
background
PubMed Identifier
32704349
Citation
Nagpal R, Shively CA, Register TC, Craft S, Yadav H. Gut microbiome-Mediterranean diet interactions in improving host health. F1000Res. 2019 May 21;8:699. doi: 10.12688/f1000research.18992.1. eCollection 2019.
Results Reference
background
PubMed Identifier
22314772
Citation
Alcalay RN, Gu Y, Mejia-Santana H, Cote L, Marder KS, Scarmeas N. The association between Mediterranean diet adherence and Parkinson's disease. Mov Disord. 2012 May;27(6):771-4. doi: 10.1002/mds.24918. Epub 2012 Feb 7.
Results Reference
background
PubMed Identifier
30306634
Citation
Maraki MI, Yannakoulia M, Stamelou M, Stefanis L, Xiromerisiou G, Kosmidis MH, Dardiotis E, Hadjigeorgiou GM, Sakka P, Anastasiou CA, Simopoulou E, Scarmeas N. Mediterranean diet adherence is related to reduced probability of prodromal Parkinson's disease. Mov Disord. 2019 Jan;34(1):48-57. doi: 10.1002/mds.27489. Epub 2018 Oct 10.
Results Reference
background
PubMed Identifier
30498828
Citation
Agarwal P, Wang Y, Buchman AS, Holland TM, Bennett DA, Morris MC. MIND Diet Associated with Reduced Incidence and Delayed Progression of ParkinsonismA in Old Age. J Nutr Health Aging. 2018;22(10):1211-1215. doi: 10.1007/s12603-018-1094-5.
Results Reference
background
PubMed Identifier
32817391
Citation
Molsberry S, Bjornevik K, Hughes KC, Healy B, Schwarzschild M, Ascherio A. Diet pattern and prodromal features of Parkinson disease. Neurology. 2020 Oct 13;95(15):e2095-e2108. doi: 10.1212/WNL.0000000000010523. Epub 2020 Aug 19.
Results Reference
background
PubMed Identifier
33404118
Citation
Metcalfe-Roach A, Yu AC, Golz E, Cirstea M, Sundvick K, Kliger D, Foulger LH, Mackenzie M, Finlay BB, Appel-Cresswell S. MIND and Mediterranean Diets Associated with Later Onset of Parkinson's Disease. Mov Disord. 2021 Apr;36(4):977-984. doi: 10.1002/mds.28464. Epub 2021 Jan 6.
Results Reference
background
PubMed Identifier
17332207
Citation
Freeman JM, Kossoff EH, Hartman AL. The ketogenic diet: one decade later. Pediatrics. 2007 Mar;119(3):535-43. doi: 10.1542/peds.2006-2447.
Results Reference
background
PubMed Identifier
19332336
Citation
Nylen K, Likhodii S, Burnham WM. The ketogenic diet: proposed mechanisms of action. Neurotherapeutics. 2009 Apr;6(2):402-5. doi: 10.1016/j.nurt.2009.01.021.
Results Reference
background
PubMed Identifier
31139630
Citation
Norwitz NG, Hu MT, Clarke K. The Mechanisms by Which the Ketone Body D-beta-Hydroxybutyrate May Improve the Multiple Cellular Pathologies of Parkinson's Disease. Front Nutr. 2019 May 14;6:63. doi: 10.3389/fnut.2019.00063. eCollection 2019.
Results Reference
background
PubMed Identifier
16848698
Citation
Cahill GF Jr. Fuel metabolism in starvation. Annu Rev Nutr. 2006;26:1-22. doi: 10.1146/annurev.nutr.26.061505.111258.
Results Reference
background
PubMed Identifier
6061736
Citation
Owen OE, Morgan AP, Kemp HG, Sullivan JM, Herrera MG, Cahill GF Jr. Brain metabolism during fasting. J Clin Invest. 1967 Oct;46(10):1589-95. doi: 10.1172/JCI105650.
Results Reference
background
PubMed Identifier
23223453
Citation
Shimazu T, Hirschey MD, Newman J, He W, Shirakawa K, Le Moan N, Grueter CA, Lim H, Saunders LR, Stevens RD, Newgard CB, Farese RV Jr, de Cabo R, Ulrich S, Akassoglou K, Verdin E. Suppression of oxidative stress by beta-hydroxybutyrate, an endogenous histone deacetylase inhibitor. Science. 2013 Jan 11;339(6116):211-4. doi: 10.1126/science.1227166. Epub 2012 Dec 6.
Results Reference
background
PubMed Identifier
16940764
Citation
Gasior M, Rogawski MA, Hartman AL. Neuroprotective and disease-modifying effects of the ketogenic diet. Behav Pharmacol. 2006 Sep;17(5-6):431-9. doi: 10.1097/00008877-200609000-00009.
Results Reference
background
PubMed Identifier
34512261
Citation
Garcia-Rodriguez D, Gimenez-Cassina A. Ketone Bodies in the Brain Beyond Fuel Metabolism: From Excitability to Gene Expression and Cell Signaling. Front Mol Neurosci. 2021 Aug 27;14:732120. doi: 10.3389/fnmol.2021.732120. eCollection 2021.
Results Reference
background
PubMed Identifier
30760973
Citation
D'Andrea Meira I, Romao TT, Pires do Prado HJ, Kruger LT, Pires MEP, da Conceicao PO. Ketogenic Diet and Epilepsy: What We Know So Far. Front Neurosci. 2019 Jan 29;13:5. doi: 10.3389/fnins.2019.00005. eCollection 2019.
Results Reference
background
PubMed Identifier
33257645
Citation
Yuan X, Wang J, Yang S, Gao M, Cao L, Li X, Hong D, Tian S, Sun C. Effect of the ketogenic diet on glycemic control, insulin resistance, and lipid metabolism in patients with T2DM: a systematic review and meta-analysis. Nutr Diabetes. 2020 Nov 30;10(1):38. doi: 10.1038/s41387-020-00142-z.
Results Reference
background
PubMed Identifier
31705259
Citation
Castellana M, Conte E, Cignarelli A, Perrini S, Giustina A, Giovanella L, Giorgino F, Trimboli P. Efficacy and safety of very low calorie ketogenic diet (VLCKD) in patients with overweight and obesity: A systematic review and meta-analysis. Rev Endocr Metab Disord. 2020 Mar;21(1):5-16. doi: 10.1007/s11154-019-09514-y.
Results Reference
background
PubMed Identifier
34581265
Citation
Myette-Cote E, Soto-Mota A, Cunnane SC. Ketones: potential to achieve brain energy rescue and sustain cognitive health during ageing. Br J Nutr. 2022 Aug 14;128(3):407-423. doi: 10.1017/S0007114521003883. Epub 2021 Sep 28.
Results Reference
background
Citation
Marten B, Pfeuffer M, Schrezenmeir J. Medium-chain triglycerides. International Dairy Journal. 2006;16(11):1374-1382. doi:10.1016/j.idairyj.2006.06.015
Results Reference
background
PubMed Identifier
19054400
Citation
Neal EG, Chaffe H, Schwartz RH, Lawson MS, Edwards N, Fitzsimmons G, Whitney A, Cross JH. A randomized trial of classical and medium-chain triglyceride ketogenic diets in the treatment of childhood epilepsy. Epilepsia. 2009 May;50(5):1109-17. doi: 10.1111/j.1528-1167.2008.01870.x. Epub 2008 Nov 19.
Results Reference
background
PubMed Identifier
33103819
Citation
Fortier M, Castellano CA, St-Pierre V, Myette-Cote E, Langlois F, Roy M, Morin MC, Bocti C, Fulop T, Godin JP, Delannoy C, Cuenoud B, Cunnane SC. A ketogenic drink improves cognition in mild cognitive impairment: Results of a 6-month RCT. Alzheimers Dement. 2021 Mar;17(3):543-552. doi: 10.1002/alz.12206. Epub 2020 Oct 26.
Results Reference
background
PubMed Identifier
31027873
Citation
Fortier M, Castellano CA, Croteau E, Langlois F, Bocti C, St-Pierre V, Vandenberghe C, Bernier M, Roy M, Descoteaux M, Whittingstall K, Lepage M, Turcotte EE, Fulop T, Cunnane SC. A ketogenic drink improves brain energy and some measures of cognition in mild cognitive impairment. Alzheimers Dement. 2019 May;15(5):625-634. doi: 10.1016/j.jalz.2018.12.017. Epub 2019 Apr 23.
Results Reference
background
PubMed Identifier
31311141
Citation
Paoli A, Mancin L, Bianco A, Thomas E, Mota JF, Piccini F. Ketogenic Diet and Microbiota: Friends or Enemies? Genes (Basel). 2019 Jul 15;10(7):534. doi: 10.3390/genes10070534.
Results Reference
background
PubMed Identifier
31477562
Citation
Nagpal R, Neth BJ, Wang S, Craft S, Yadav H. Modified Mediterranean-ketogenic diet modulates gut microbiome and short-chain fatty acids in association with Alzheimer's disease markers in subjects with mild cognitive impairment. EBioMedicine. 2019 Sep;47:529-542. doi: 10.1016/j.ebiom.2019.08.032. Epub 2019 Aug 30.
Results Reference
background
PubMed Identifier
29804833
Citation
Olson CA, Vuong HE, Yano JM, Liang QY, Nusbaum DJ, Hsiao EY. The Gut Microbiota Mediates the Anti-Seizure Effects of the Ketogenic Diet. Cell. 2018 Jun 14;173(7):1728-1741.e13. doi: 10.1016/j.cell.2018.04.027. Epub 2018 May 24. Erratum In: Cell. 2018 Jul 12;174(2):497.
Results Reference
background
PubMed Identifier
33855040
Citation
Ferraris C, Meroni E, Casiraghi MC, Tagliabue A, De Giorgis V, Erba D. One Month of Classic Therapeutic Ketogenic Diet Decreases Short Chain Fatty Acids Production in Epileptic Patients. Front Nutr. 2021 Mar 29;8:613100. doi: 10.3389/fnut.2021.613100. eCollection 2021.
Results Reference
background
PubMed Identifier
32437658
Citation
Ang QY, Alexander M, Newman JC, Tian Y, Cai J, Upadhyay V, Turnbaugh JA, Verdin E, Hall KD, Leibel RL, Ravussin E, Rosenbaum M, Patterson AD, Turnbaugh PJ. Ketogenic Diets Alter the Gut Microbiome Resulting in Decreased Intestinal Th17 Cells. Cell. 2020 Jun 11;181(6):1263-1275.e16. doi: 10.1016/j.cell.2020.04.027. Epub 2020 May 20.
Results Reference
background
PubMed Identifier
26474316
Citation
Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W, Obeso J, Marek K, Litvan I, Lang AE, Halliday G, Goetz CG, Gasser T, Dubois B, Chan P, Bloem BR, Adler CH, Deuschl G. MDS clinical diagnostic criteria for Parkinson's disease. Mov Disord. 2015 Oct;30(12):1591-601. doi: 10.1002/mds.26424.
Results Reference
background
PubMed Identifier
19962324
Citation
van Delft R, Lambrechts D, Verschuure P, Hulsman J, Majoie M. Blood beta-hydroxybutyrate correlates better with seizure reduction due to ketogenic diet than do ketones in the urine. Seizure. 2010 Jan;19(1):36-9. doi: 10.1016/j.seizure.2009.10.009. Epub 2009 Dec 3.
Results Reference
background
PubMed Identifier
34631141
Citation
Anderson JC, Mattar SG, Greenway FL, Lindquist RJ. Measuring ketone bodies for the monitoring of pathologic and therapeutic ketosis. Obes Sci Pract. 2021 May 4;7(5):646-656. doi: 10.1002/osp4.516. eCollection 2021 Oct.
Results Reference
background
PubMed Identifier
24336217
Citation
David LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, Ling AV, Devlin AS, Varma Y, Fischbach MA, Biddinger SB, Dutton RJ, Turnbaugh PJ. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2014 Jan 23;505(7484):559-63. doi: 10.1038/nature12820. Epub 2013 Dec 11.
Results Reference
background
PubMed Identifier
31779668
Citation
Wood DE, Lu J, Langmead B. Improved metagenomic analysis with Kraken 2. Genome Biol. 2019 Nov 28;20(1):257. doi: 10.1186/s13059-019-1891-0.
Results Reference
background
PubMed Identifier
26454280
Citation
Silva GG, Green KT, Dutilh BE, Edwards RA. SUPER-FOCUS: a tool for agile functional analysis of shotgun metagenomic data. Bioinformatics. 2016 Feb 1;32(3):354-61. doi: 10.1093/bioinformatics/btv584. Epub 2015 Oct 9.
Results Reference
background
PubMed Identifier
23997757
Citation
Zheng X, Qiu Y, Zhong W, Baxter S, Su M, Li Q, Xie G, Ore BM, Qiao S, Spencer MD, Zeisel SH, Zhou Z, Zhao A, Jia W. A targeted metabolomic protocol for short-chain fatty acids and branched-chain amino acids. Metabolomics. 2013 Aug 1;9(4):818-827. doi: 10.1007/s11306-013-0500-6.
Results Reference
background
PubMed Identifier
29454662
Citation
Schwiertz A, Spiegel J, Dillmann U, Grundmann D, Burmann J, Fassbender K, Schafer KH, Unger MM. Fecal markers of intestinal inflammation and intestinal permeability are elevated in Parkinson's disease. Parkinsonism Relat Disord. 2018 May;50:104-107. doi: 10.1016/j.parkreldis.2018.02.022. Epub 2018 Feb 12.
Results Reference
background
PubMed Identifier
34220443
Citation
Dumitrescu L, Marta D, Danau A, Lefter A, Tulba D, Cozma L, Manole E, Gherghiceanu M, Ceafalan LC, Popescu BO. Serum and Fecal Markers of Intestinal Inflammation and Intestinal Barrier Permeability Are Elevated in Parkinson's Disease. Front Neurosci. 2021 Jun 18;15:689723. doi: 10.3389/fnins.2021.689723. eCollection 2021.
Results Reference
background
PubMed Identifier
28413639
Citation
Ohlsson B, Roth B, Larsson E, Hoglund P. Calprotectin in serum and zonulin in serum and feces are elevated after introduction of a diet with lower carbohydrate content and higher fiber, fat and protein contents. Biomed Rep. 2017 Apr;6(4):411-422. doi: 10.3892/br.2017.865. Epub 2017 Feb 22.
Results Reference
background
PubMed Identifier
33555429
Citation
Harms AS, Ferreira SA, Romero-Ramos M. Periphery and brain, innate and adaptive immunity in Parkinson's disease. Acta Neuropathol. 2021 Apr;141(4):527-545. doi: 10.1007/s00401-021-02268-5. Epub 2021 Feb 8.
Results Reference
background
PubMed Identifier
31593782
Citation
Tran HQ, Bretin A, Adeshirlarijaney A, Yeoh BS, Vijay-Kumar M, Zou J, Denning TL, Chassaing B, Gewirtz AT. "Western Diet"-Induced Adipose Inflammation Requires a Complex Gut Microbiota. Cell Mol Gastroenterol Hepatol. 2020;9(2):313-333. doi: 10.1016/j.jcmgh.2019.09.009. Epub 2019 Oct 5.
Results Reference
background
PubMed Identifier
15234425
Citation
Chrysohoou C, Panagiotakos DB, Pitsavos C, Das UN, Stefanadis C. Adherence to the Mediterranean diet attenuates inflammation and coagulation process in healthy adults: The ATTICA Study. J Am Coll Cardiol. 2004 Jul 7;44(1):152-8. doi: 10.1016/j.jacc.2004.03.039.
Results Reference
background
PubMed Identifier
26218286
Citation
Sawada H, Oeda T, Umemura A, Tomita S, Kohsaka M, Park K, Yamamoto K, Sugiyama H. Baseline C-Reactive Protein Levels and Life Prognosis in Parkinson Disease. PLoS One. 2015 Jul 28;10(7):e0134118. doi: 10.1371/journal.pone.0134118. eCollection 2015.
Results Reference
background
PubMed Identifier
26308525
Citation
Umemura A, Oeda T, Yamamoto K, Tomita S, Kohsaka M, Park K, Sugiyama H, Sawada H. Baseline Plasma C-Reactive Protein Concentrations and Motor Prognosis in Parkinson Disease. PLoS One. 2015 Aug 26;10(8):e0136722. doi: 10.1371/journal.pone.0136722. eCollection 2015.
Results Reference
background
PubMed Identifier
19025984
Citation
Goetz CG, Tilley BC, Shaftman SR, Stebbins GT, Fahn S, Martinez-Martin P, Poewe W, Sampaio C, Stern MB, Dodel R, Dubois B, Holloway R, Jankovic J, Kulisevsky J, Lang AE, Lees A, Leurgans S, LeWitt PA, Nyenhuis D, Olanow CW, Rascol O, Schrag A, Teresi JA, van Hilten JJ, LaPelle N; Movement Disorder Society UPDRS Revision Task Force. Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov Disord. 2008 Nov 15;23(15):2129-70. doi: 10.1002/mds.22340.
Results Reference
background
PubMed Identifier
15619463
Citation
Brown RG, Dittner A, Findley L, Wessely SC. The Parkinson fatigue scale. Parkinsonism Relat Disord. 2005 Jan;11(1):49-55. doi: 10.1016/j.parkreldis.2004.07.007.
Results Reference
background
PubMed Identifier
1627973
Citation
Starkstein SE, Mayberg HS, Preziosi TJ, Andrezejewski P, Leiguarda R, Robinson RG. Reliability, validity, and clinical correlates of apathy in Parkinson's disease. J Neuropsychiatry Clin Neurosci. 1992 Spring;4(2):134-9. doi: 10.1176/jnp.4.2.134.
Results Reference
background
Citation
Beck AT, Steer RA, Brown G. Beck Depression Inventory-II. Psychol Assess [Internet]. [doi: 10.1037/t00742-000]
Results Reference
background
PubMed Identifier
24862344
Citation
Leentjens AF, Dujardin K, Pontone GM, Starkstein SE, Weintraub D, Martinez-Martin P. The Parkinson Anxiety Scale (PAS): development and validation of a new anxiety scale. Mov Disord. 2014 Jul;29(8):1035-43. doi: 10.1002/mds.25919. Epub 2014 May 23.
Results Reference
background
PubMed Identifier
9351479
Citation
Jenkinson C, Fitzpatrick R, Peto V, Greenhall R, Hyman N. The Parkinson's Disease Questionnaire (PDQ-39): development and validation of a Parkinson's disease summary index score. Age Ageing. 1997 Sep;26(5):353-7. doi: 10.1093/ageing/26.5.353.
Results Reference
background
PubMed Identifier
11833022
Citation
Washburn RA, Zhu W, McAuley E, Frogley M, Figoni SF. The physical activity scale for individuals with physical disabilities: development and evaluation. Arch Phys Med Rehabil. 2002 Feb;83(2):193-200. doi: 10.1053/apmr.2002.27467.
Results Reference
background
PubMed Identifier
9299672
Citation
Lewis SJ, Heaton KW. Stool form scale as a useful guide to intestinal transit time. Scand J Gastroenterol. 1997 Sep;32(9):920-4. doi: 10.3109/00365529709011203.
Results Reference
background
PubMed Identifier
17013448
Citation
Drossman DA, Dumitrascu DL. Rome III: New standard for functional gastrointestinal disorders. J Gastrointestin Liver Dis. 2006 Sep;15(3):237-41.
Results Reference
background
PubMed Identifier
11846115
Citation
Thompson FE, Subar AF, Brown CC, Smith AF, Sharbaugh CO, Jobe JB, Mittl B, Gibson JT, Ziegler RG. Cognitive research enhances accuracy of food frequency questionnaire reports: results of an experimental validation study. J Am Diet Assoc. 2002 Feb;102(2):212-25. doi: 10.1016/s0002-8223(02)90050-7.
Results Reference
background
PubMed Identifier
24960398
Citation
Heaton RK, Akshoomoff N, Tulsky D, Mungas D, Weintraub S, Dikmen S, Beaumont J, Casaletto KB, Conway K, Slotkin J, Gershon R. Reliability and validity of composite scores from the NIH Toolbox Cognition Battery in adults. J Int Neuropsychol Soc. 2014 Jul;20(6):588-98. doi: 10.1017/S1355617714000241. Epub 2014 Jun 24.
Results Reference
background
Citation
Nygaard HB, Kent BA, Stager S, et al. A phase 1B multiple ascending dose study of the safety, tolerability, pharmacokinetics, and pharmacodynamics of a medium chain triglyceride supplement in Alzheimer's disease: Brain energy rescue interventions to treat or delay Alzheimer's disease. Alzheimer's & Dementia. 2020;16(S10). doi:10.1002/alz.037960
Results Reference
background
PubMed Identifier
29703936
Citation
Ma D, Wang AC, Parikh I, Green SJ, Hoffman JD, Chlipala G, Murphy MP, Sokola BS, Bauer B, Hartz AMS, Lin AL. Ketogenic diet enhances neurovascular function with altered gut microbiome in young healthy mice. Sci Rep. 2018 Apr 27;8(1):6670. doi: 10.1038/s41598-018-25190-5.
Results Reference
background
PubMed Identifier
34409375
Citation
Mufti A, Mirali S, Abduelmula A, McDonald KA, Alabdulrazzaq S, Sachdeva M, Yeung J. Clinical manifestations and treatment outcomes in prurigo pigmentosa (Nagashima disease): A systematic review of the literature. JAAD Int. 2021 Apr 10;3:79-87. doi: 10.1016/j.jdin.2021.03.003. eCollection 2021 Jun.
Results Reference
background
PubMed Identifier
33848468
Citation
Bloem BR, Okun MS, Klein C. Parkinson's disease. Lancet. 2021 Jun 12;397(10291):2284-2303. doi: 10.1016/S0140-6736(21)00218-X. Epub 2021 Apr 10.
Results Reference
background
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Ketogenic Diet Interventions in Parkinson's Disease: Safeguarding the Gut Microbiome
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