Effects of Probiotics on Peripheral Immunity in Parkinson's Disease
NCT ID: NCT05173701
Last Updated: 2022-06-10
Study Results
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Basic Information
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UNKNOWN
NA
88 participants
INTERVENTIONAL
2021-11-22
2023-01-31
Brief Summary
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Detailed Description
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There is no available treatment to prevent PD onset or to delay its progression and therapy is focused on symptoms management. The administration of carbidopa/levodopa allows for control of motor symptoms, but it becomes less effective as the disease progresses and increasing daily doses causes more frequent and severe side effects.
The histopathologic hallmark of PD is the loss of dopaminergic neurons and accumulation of α-synuclein (α-syn) in surviving neurons, but the underlying pathophysiology is still unclear. Inflammatory mechanisms have been suggested to play a prominent role in the disease, with an imbalance between detrimental and protective immune functions, as well as neurotoxicity caused by reactive oxygen species (ROS).
Further evidence highlights the involvement of peripheral adaptive immunity in PD, reporting an imbalance in T cell subpopulations and in the expression of transcriptional factors in CD4+ T cells in PD patients.
In these patients, non-motor symptoms may precede the onset of a clinically established disease.
Etiopathogenesis of PD is still unknown, but seminal work by Braak et al. hypothesised an initial aggregation of α-syn in the gut with subsequent propagation along the vagus nerve to the brain, finally reaching the substantia nigra in the mesencephalon.
Interestingly, in an α-syn overexpressing murine model of PD, the absence of gut microbiota prevented both microglia activation and motor impairment, thus pointing to a fundamental role of the gut and microbiota in the pathogenesis and development of PD.
In a recent paper, Magistrelli et al. confirmed that probiotics may influence the peripheral immune system. Particularly, in peripheral blood mononuclear cells (PMBCs) of a cohort of PD patients, probiotics were able to modulate the production of cytokines toward an anti-inflammatory profile and to reduce the production of reactive oxygen species (ROS). The clinical effects of probiotics have been also explored in other pathological conditions. Tankou et al. administered VSL#3 in a cohort of 9 multiple sclerosis patients, whose peripheral immune system shifted toward an anti-inflammatory profile, with an inverse tendency after VSL#3 discontinuation. These results were also confirmed by the same group after administration of a mix of probiotics (four strains of Lactobacillus and three strains of Bifidobacterium).
In the light of this evidence, the investigators designed a randomised controlled clinical trial whose primary objective is to test whether probiotics can influence the peripheral immune system in a cohort of PD patients. The aim of the protocol is to highlight changes in transcriptional factors messenger Ribonucleic Acid (mRNA) levels, lymphocytes subpopulations (Th1, Th2, Th17 and Treg), cytokine levels and ROS production.
Methods and analyses This explorative study is a randomized placebo-controlled double-blind study to evaluate the efficacy of probiotics in modulating the peripheral immune system in Parkinson's Disease subjects. Participants will be randomised in two comparable groups and treated with a mixture of probiotics or matching placebo once daily for three months. The primary objective of this study is to verify the effects of probiotics on the peripheral immune system. As exploratory outcomes, motor and non-motor symptoms of PD will be monitored, as well as cognitive function and quality of life over the three months treatment period via a selection of clinical rating scales.
Participant identification Subjects will be recruited among patients with scheduled routine follow-up visits at Azienda Ospedaliero-Universitaria Maggiore della Carità di Novara. Detailed information on comorbidities, current medical therapy and demographic data of these subjects will be readily available. The trial design will be briefly outlined and patients will be asked about their interest in participating. Willing subjects will attend a screening visit, written informed consent will be obtained before confirming eligibility.
Trial procedures
Clinical During enrolment visit, medical and neurological examination will assess the need for immediate variations in medical therapy for each participant. Within two weeks, any therapy modification will be completed and baseline visit will be scheduled.
During baseline visit (T0), physical and neurological examinations will be repeated to confirm the subject's conditions and persistence of inclusion criteria, a baseline blood withdrawal will be performed and all clinical evaluation scales will be completed to set baseline scores. Each participant, after the subscription of an appropriate informed consent, will be randomized and given a treatment box, containing single-dose sachets with 2,7g of powder of the allocated formulation. Patients will be instructed to take daily doses at home every morning before breakfast, mixing the content of one sachet in about 125 ml of fresh water or other cold, non-carbonated drink. Participants will be instructed to keep unused or empty packaging for recollection and compliance evaluation.
Follow-up visits will be scheduled at 4 weeks after T0 (T1) and at 12 weeks after T0 (T2). At T1, physical and neurological examination will be repeated and all clinical scales administered again. At T2, all assessments performed at T0 will be carried out again, including blood withdrawal.
At T0 and T2, withdrawal of 40 ml venous blood will be performed after a fasting night, between 8:00 and 10:00 am, in ethylenediaminetetraacetic acid-coated tubes (BD Vacutainer). Tubes will be coded and stored at room temperature until processing, within 24 hours. Complete blood count with differential analysis will be conducted on separate blood samples.
Laboratory methods
Cytokine measurement The possible influence of probiotic treatment on inflammatory profile will be evaluated by measuring at T0 and T2 the plasma levels of pro (e.g. Tumor Necrosis Factor (TNF)-α, Interferon (IFN)-γ) and anti-inflammatory cytokines (Interleukin (IL)-10, IL-4). Plasma aliquots from every sample will be separated and stored for cytokines assays. 2 mL of fresh blood will be centrifuged at 1400g for 10 minutes at room temperature and two plasma aliquots of 350 µL each will be stored in 1,5mL vials to assay cytokines levels.
Flow cytometric evaluation of immune phenotype In order to investigate possible changes in immune phenotype, the profile of both innate and adaptive immunity will be deepened by means of a cytofluorimetric evaluation according to the strategy described by Kustrimovic et al. in 2018 and with additional panels aimed specifically dedicated to innate immunity. The following cell subsets of the adaptive immune system will be assessed: CD4+ and CD8+ T naïve/memory cells, CD4+ T helper subsets and CD4+ regulatory T cells. Moreover, for innate immunity, monocytes and Natural Killer (NK) cells will be also assessed. Acquisition will be performed on a BD Fluorescence-activated cell sorting (FACS) Celesta flow cytometer (Becton Dickinson Italy, Milan, Italy) with BD FACS Diva software (version 8.0.1.1) and data will be analysed with FlowJo software (version 10.7.1)
Transcriptional factors mRNA evaluation According to previous studies by Kustrimovic and De Francesco, the ability of probiotic treatment to modify mRNA levels of the main transcriptional factors in CD4+ T lymphocytes will also be investigated. CD4+ positive cells will be obtained by PBMC, which will be isolated from whole blood using Ficoll-Paque Plus density gradient centrifugation. After resuspension, residual contaminating erythrocytes will be lysed by addition of 10 mL of lysis buffer ((g/L) NH4Cl 8.248, KHCO3 1.0, EDTA 0.0368). Cells will be washed twice in Purified Bovine Serum (PBS) by addition of 10 mL of PBS, then centrifuged at 300 g for 10 min at room temperature and resuspended in 10 mL of Roswell Park Memorial Institute medium (RPMI)/10% Fetal Bovine Serum (FBS). Manual cell count will then be performed to set CD4 separation reagents quantities.
Typical PBMC preparations will contain at least 80% lymphocytes. CD4+ T cells will then be isolated from PBMC by means of Dynabeads CD4 Positive Isolation kit. At least 50,000 separated CD4+ T cells will then be resuspended in PerfectPure RNA lysis buffer (5 Prime GmbH, Hamburg, Germany), and total RNA will be extracted by PerfectPure RNA Cell Kit™.
Reverse-transcription will be performed on resulting mRNA using a random primer and a high-capacity complementary DNA (cDNA) Real Time (RT) kit.
RT-Polymerase Chain Reactions (PCR) will be performed with 1 μM cDNA. Amplification of cDNA will allow for the analysis of mRNA levels of the transcription factor genes TBX21, STAT1, STAT3, STAT4, STAT6, RORC, GATA3, FOXP3 and NR4A2.
Treatment composition and rationale
Treatment:
Bifidobacterium animalis subsp. lactis BS01 ≥ 1 x 10\^9 Colony Forming Units (CFU) Bifidobacterium longum 03 ≥ 1 x 10\^9 CFU Bifidobacterium adolescentis BA02 ≥ 1 x 10\^9 CFU Fructo-oligosaccharides FOS 2500 mg Maltodextrin q.s.
Placebo:
Maltodextrin q.s.
Each probiotics formulation contains Bifidobacterium animalis subsp. lactis (BS01), Bifidobacterium longum (BL03) and Bifidobacterium adolescentis (BA02). Fructo-oligosaccharides (FOS) is added as a prebiotical component and maltodextrin is used as a bulking agent.
The choice of probiotics for this study is based on solid literature data: in particular PBMC of PD patients treated with Bifidobacterium animalis subsp. Lactis (BS01) showed an increased production of anti-inflammatory cytokine IL-10. Said treatment also supported restoration of membrane integrity in a model of CacO2-cells.
All probiotics used are included in the "Qualified Presumption of Safety (QPS)-recommended biological agents intentionally added to food or feed as notified to European Food Safety Authority (EFSA) 12".
The placebo formulation is solely composed by maltodextrin.
Sample size calculation, data analysis The design of this study is explorative and equally randomised to treatment with probiotics or placebo. Due to the exploratory nature of the proposed study, a formal sample size calculation is not strictly required. Sample size for this study has thus been based mainly on previous results from another in vitro study, which yielded statistically significant results in a small cohort of 40 PD patients for all tested probiotic strains, with a global reduction in proinflammatory cytokines production and an increase in anti-inflammatory cytokines. In the present study, the expected sample will be doubled, with a total of 80 specimens to be collected both at T0 and T2.
Data from previous in vitro study has been used to estimate orientational sample sizes for the in vitro effect of all tested probiotic strains and a sample size of 80 subjects allows for the determination of most tested cytokines variations with an expected power greater than 80%, setting the threshold for statistical significance at 0.05.
Statistical analysis on collected data will be performed after assessing normality of data distribution and using two-tailed Student's t test or Mann-Whitney test as appropriate for independent variables comparisons. Data correlations will be analysed through Pearson's or Spearman's correlation tests. ANOVA or the Kruskal-Wallis tests will be used for comparisons between more than two groups and paired t-test or Wilcoxon signed ranks test will be used when comparing paired groups (e.g. baseline vs end of treatment, treatment vs placebo). Thresholds for statistical significance will be set according to the specific test characteristics.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
BASIC_SCIENCE
QUADRUPLE
Study Groups
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Probiotics
Administration of a mixture of probiotics once daily for three months
Probiotics
Selected probiotics mixture, in powder form, will be administered once daily for three months in the morning.
Placebo
Administration of a placebo (maltodextrin) once daily for three months
Placebo
A placebo (2,7g maltodextrin) will be administered once daily for three months in the morning.
Interventions
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Probiotics
Selected probiotics mixture, in powder form, will be administered once daily for three months in the morning.
Placebo
A placebo (2,7g maltodextrin) will be administered once daily for three months in the morning.
Eligibility Criteria
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Inclusion Criteria
* a disease duration between 2 and 5 years at baseline
Exclusion Criteria
* previous or ongoing immune-modulating or immunosuppressive therapy
* inflammatory bowel diseases, colorectal diseases or past major abdominal or pelvic surgery
* antibiotics therapy up to three months before enrolment
* usage of tube feeding
* known or suspected allergy to any component of the treatment or placebo mixtures
* known and established cognitive decline or any comorbidity preventing reliable completion of trial assessments
* motor fluctuations
ALL
No
Sponsors
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Università degli Studi del Piemonte Orientale Amedeo Avogadro
OTHER
Università degli Studi dell'Insubria
OTHER
Franca Marino
OTHER
Responsible Party
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Franca Marino
Professor
Principal Investigators
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Franca Marino, Prof.
Role: PRINCIPAL_INVESTIGATOR
Centre for Research in Medical Pharmacology
Locations
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Azienda Ospedaliero-Universitaria "Maggiore della Carità"
Novara, , Italy
Countries
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References
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Tysnes OB, Storstein A. Epidemiology of Parkinson's disease. J Neural Transm (Vienna). 2017 Aug;124(8):901-905. doi: 10.1007/s00702-017-1686-y. Epub 2017 Feb 1.
Armstrong MJ, Okun MS. Diagnosis and Treatment of Parkinson Disease: A Review. JAMA. 2020 Feb 11;323(6):548-560. doi: 10.1001/jama.2019.22360.
Stefanis L. alpha-Synuclein in Parkinson's disease. Cold Spring Harb Perspect Med. 2012 Feb;2(2):a009399. doi: 10.1101/cshperspect.a009399.
Comi C, Tondo G. Insights into the protective role of immunity in neurodegenerative disease. Neural Regen Res. 2017 Jan;12(1):64-65. doi: 10.4103/1673-5374.198980. No abstract available.
Cappellano G, Carecchio M, Fleetwood T, Magistrelli L, Cantello R, Dianzani U, Comi C. Immunity and inflammation in neurodegenerative diseases. Am J Neurodegener Dis. 2013 Jun 21;2(2):89-107. Print 2013.
Liu X, Yamada N, Maruyama W, Osawa T. Formation of dopamine adducts derived from brain polyunsaturated fatty acids: mechanism for Parkinson disease. J Biol Chem. 2008 Dec 12;283(50):34887-95. doi: 10.1074/jbc.M805682200. Epub 2008 Oct 15.
Kustrimovic N, Rasini E, Legnaro M, Bombelli R, Aleksic I, Blandini F, Comi C, Mauri M, Minafra B, Riboldazzi G, Sanchez-Guajardo V, Marino F, Cosentino M. Dopaminergic Receptors on CD4+ T Naive and Memory Lymphocytes Correlate with Motor Impairment in Patients with Parkinson's Disease. Sci Rep. 2016 Sep 22;6:33738. doi: 10.1038/srep33738.
Kustrimovic N, Comi C, Magistrelli L, Rasini E, Legnaro M, Bombelli R, Aleksic I, Blandini F, Minafra B, Riboldazzi G, Sturchio A, Mauri M, Bono G, Marino F, Cosentino M. Parkinson's disease patients have a complex phenotypic and functional Th1 bias: cross-sectional studies of CD4+ Th1/Th2/T17 and Treg in drug-naive and drug-treated patients. J Neuroinflammation. 2018 Jul 12;15(1):205. doi: 10.1186/s12974-018-1248-8.
De Francesco E, Terzaghi M, Storelli E, Magistrelli L, Comi C, Legnaro M, Mauri M, Marino F, Versino M, Cosentino M. CD4+ T-cell Transcription Factors in Idiopathic REM Sleep Behavior Disorder and Parkinson's Disease. Mov Disord. 2021 Jan;36(1):225-229. doi: 10.1002/mds.28137. Epub 2020 Jul 10.
Tekriwal A, Kern DS, Tsai J, Ince NF, Wu J, Thompson JA, Abosch A. REM sleep behaviour disorder: prodromal and mechanistic insights for Parkinson's disease. J Neurol Neurosurg Psychiatry. 2017 May;88(5):445-451. doi: 10.1136/jnnp-2016-314471. Epub 2016 Dec 13.
Cersosimo MG, Raina GB, Pecci C, Pellene A, Calandra CR, Gutierrez C, Micheli FE, Benarroch EE. Gastrointestinal manifestations in Parkinson's disease: prevalence and occurrence before motor symptoms. J Neurol. 2013 May;260(5):1332-8. doi: 10.1007/s00415-012-6801-2. Epub 2012 Dec 21.
Comi C, Magistrelli L, Oggioni GD, Carecchio M, Fleetwood T, Cantello R, Mancini F, Antonini A. Peripheral nervous system involvement in Parkinson's disease: evidence and controversies. Parkinsonism Relat Disord. 2014 Dec;20(12):1329-34. doi: 10.1016/j.parkreldis.2014.10.010. Epub 2014 Oct 18.
McCann H, Cartwright H, Halliday GM. Neuropathology of alpha-synuclein propagation and braak hypothesis. Mov Disord. 2016 Feb;31(2):152-60. doi: 10.1002/mds.26421. Epub 2015 Sep 4.
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.
Magistrelli L, Amoruso A, Mogna L, Graziano T, Cantello R, Pane M, Comi C. Probiotics May Have Beneficial Effects in Parkinson's Disease: In vitro Evidence. Front Immunol. 2019 May 7;10:969. doi: 10.3389/fimmu.2019.00969. eCollection 2019.
Tankou SK, Regev K, Healy BC, Cox LM, Tjon E, Kivisakk P, Vanande IP, Cook S, Gandhi R, Glanz B, Stankiewicz J, Weiner HL. Investigation of probiotics in multiple sclerosis. Mult Scler. 2018 Jan;24(1):58-63. doi: 10.1177/1352458517737390.
Tankou SK, Regev K, Healy BC, Tjon E, Laghi L, Cox LM, Kivisakk P, Pierre IV, Hrishikesh L, Gandhi R, Cook S, Glanz B, Stankiewicz J, Weiner HL. A probiotic modulates the microbiome and immunity in multiple sclerosis. Ann Neurol. 2018 Jun;83(6):1147-1161. doi: 10.1002/ana.25244. Epub 2018 Jun 8.
Movement Disorder Society Task Force on Rating Scales for Parkinson's Disease. The Unified Parkinson's Disease Rating Scale (UPDRS): status and recommendations. Mov Disord. 2003 Jul;18(7):738-50. doi: 10.1002/mds.10473.
Goetz CG, Poewe W, Rascol O, Sampaio C, Stebbins GT, Counsell C, Giladi N, Holloway RG, Moore CG, Wenning GK, Yahr MD, Seidl L; Movement Disorder Society Task Force on Rating Scales for Parkinson's Disease. Movement Disorder Society Task Force report on the Hoehn and Yahr staging scale: status and recommendations. Mov Disord. 2004 Sep;19(9):1020-8. doi: 10.1002/mds.20213.
van Wamelen DJ, Martinez-Martin P, Weintraub D, Schrag A, Antonini A, Falup-Pecurariu C, Odin P, Ray Chaudhuri K; International Parkinson and Movement Disorder Society Parkinson's Disease Non-Motor Study Group. The Non-Motor Symptoms Scale in Parkinson's disease: Validation and use. Acta Neurol Scand. 2021 Jan;143(1):3-12. doi: 10.1111/ane.13336. Epub 2020 Sep 29.
Visser M, Leentjens AF, Marinus J, Stiggelbout AM, van Hilten JJ. Reliability and validity of the Beck depression inventory in patients with Parkinson's disease. Mov Disord. 2006 May;21(5):668-72. doi: 10.1002/mds.20792.
Dunstan DA, Scott N. Norms for Zung's Self-rating Anxiety Scale. BMC Psychiatry. 2020 Feb 28;20(1):90. doi: 10.1186/s12888-019-2427-6.
Zung WW. A rating instrument for anxiety disorders. Psychosomatics. 1971 Nov-Dec;12(6):371-9. doi: 10.1016/S0033-3182(71)71479-0. No abstract available.
Sletten DM, Suarez GA, Low PA, Mandrekar J, Singer W. COMPASS 31: a refined and abbreviated Composite Autonomic Symptom Score. Mayo Clin Proc. 2012 Dec;87(12):1196-201. doi: 10.1016/j.mayocp.2012.10.013.
Kim Y, Seok JM, Park J, Kim KH, Min JH, Cho JW, Park S, Kim HJ, Kim BJ, Youn J. The composite autonomic symptom scale 31 is a useful screening tool for patients with Parkinsonism. PLoS One. 2017 Jul 6;12(7):e0180744. doi: 10.1371/journal.pone.0180744. eCollection 2017.
Vasquez KA, Valverde EM, Aguilar DV, Gabarain HH. Montreal Cognitive Assessment scale in patients with Parkinson Disease with normal scores in the Mini-Mental State Examination. Dement Neuropsychol. 2019 Jan-Mar;13(1):78-81. doi: 10.1590/1980-57642018dn13-010008.
Marquis P, De La Loge C, Dubois D, McDermott A, Chassany O. Development and validation of the Patient Assessment of Constipation Quality of Life questionnaire. Scand J Gastroenterol. 2005 May;40(5):540-51. doi: 10.1080/00365520510012208.
Dal Molin A, McMillan SC, Zenerino F, Rattone V, Grubich S, Guazzini A, Rasero L. Validity and reliability of the Italian Constipation Assessment Scale. Int J Palliat Nurs. 2012 Jul;18(7):321-5. doi: 10.12968/ijpn.2012.18.7.321.
Vaizey CJ, Carapeti E, Cahill JA, Kamm MA. Prospective comparison of faecal incontinence grading systems. Gut. 1999 Jan;44(1):77-80. doi: 10.1136/gut.44.1.77.
Del Piano M, Carmagnola S, Anderloni A, Andorno S, Ballare M, Balzarini M, Montino F, Orsello M, Pagliarulo M, Sartori M, Tari R, Sforza F, Capurso L. The use of probiotics in healthy volunteers with evacuation disorders and hard stools: a double-blind, randomized, placebo-controlled study. J Clin Gastroenterol. 2010 Sep;44 Suppl 1:S30-4. doi: 10.1097/MCG.0b013e3181ee31c3.
Chng KR, Ghosh TS, Tan YH, Nandi T, Lee IR, Ng AHQ, Li C, Ravikrishnan A, Lim KM, Lye D, Barkham T, Raman K, Chen SL, Chai L, Young B, Gan YH, Nagarajan N. Metagenome-wide association analysis identifies microbial determinants of post-antibiotic ecological recovery in the gut. Nat Ecol Evol. 2020 Sep;4(9):1256-1267. doi: 10.1038/s41559-020-1236-0. Epub 2020 Jul 6.
Duranti S, Ruiz L, Lugli GA, Tames H, Milani C, Mancabelli L, Mancino W, Longhi G, Carnevali L, Sgoifo A, Margolles A, Ventura M, Ruas-Madiedo P, Turroni F. Bifidobacterium adolescentis as a key member of the human gut microbiota in the production of GABA. Sci Rep. 2020 Aug 24;10(1):14112. doi: 10.1038/s41598-020-70986-z.
Kimmelman J, Mogil JS, Dirnagl U. Distinguishing between exploratory and confirmatory preclinical research will improve translation. PLoS Biol. 2014 May 20;12(5):e1001863. doi: 10.1371/journal.pbio.1001863. eCollection 2014 May.
Martini S, Marino F, Magistrelli L, Contaldi E, Cosentino M, Comi C. The PROB-PD trial: a pilot, randomised, placebo-controlled study protocol to evaluate the feasibility and potential efficacy of probiotics in modulating peripheral immunity in subjects with Parkinson's disease. Pilot Feasibility Stud. 2023 May 8;9(1):77. doi: 10.1186/s40814-023-01306-1.
Other Identifiers
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PROB-PD
Identifier Type: -
Identifier Source: org_study_id
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