Parkinson's DiseaseNCT05173701
Effects of Probiotics on Peripheral Immunity in Parkinson's Disease
A study testing Probiotics in people with Parkinson's Disease, run by Franca Marino at 1 site in Italy.
Trial summary
Parkinson's Disease (PD) is a common neurodegenerative disease, with no disease-modifying treatment available, therapy is therefore only symptomatic. The pathophysiology of the disease is still unclear, but inflammatory mechanisms are reported to play a prominent role. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Parkinson's Disease
- What is being tested?
- Probiotics
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 88 participants
- Where
- 1 siteItaly
- Study dates
- 22 Nov 2021to Jan 2023
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Who may be able to join
- a diagnosis of Parkinson's Disease;
- a disease duration between 2 and 5 years at baseline
Who cannot join
- past or concomitant autoimmune disease
- 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
Trial locations and contacts
1 site in 1 country.
Italy1 site
Azienda Ospedaliero-Universitaria "Maggiore della Carità"
Novara, 28100
About this study
Parkinson's Disease (PD) is a common neurodegenerative disease, with no disease-modifying treatment available, therapy is therefore only symptomatic. The pathophysiology of the disease is still unclear, but inflammatory mechanisms are reported to play a prominent role. An involvement of peripheral adaptive immunity, with an imbalance in T cell subpopulations and in the expression of transcriptional factors (TF) in Cluster of Differentiation (CD) 4 positive T cells has been reported. An initial aggregation of α-synuclein (α-syn) in the gut with subsequent propagation along the vagus nerve to the brain has also been hypothesised. Interestingly, in an α-syn overexpressing murine model, the absence of gut microbiota prevented both microglia activation and motor impairment, pointing to a fundamental role of the microbiota in the development of PD. It has been shown that in Peripheral Blood Mononuclear Cells (PBMC) of PD patients, probiotics modulate the in vitro production of cytokines toward an anti-inflammatory profile. The investigators developed a clinical trial protocol for the evaluation of probiotics' effects on the peripheral immune system profile in Parkinson's Disease patients. ROS, Lymphocyte subpopulations, TF levels in PBMC will be assessed at baseline and after treatment with a mixture of probiotics in PD patients to assess immunomodulatory effects of said treatment. Motor and non-motor symptoms of PD will also be monitored through the trial period.
Read the detailed description
Introduction Parkinson's Disease (PD) is a common neurodegenerative disease, affecting up to 1-2 people in 1000 at any given time. Prevalence increases with age and is estimated at 1% in people over 65.
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
- Parkinson's Disease
- Being tested
- Probiotics, Placebo
- Keywords
- Parkinson's Disease, Probiotics, Immunomodulation, Microbiota
- Medical subject headings
- Parkinson Disease
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ProbioticsDietary supplement
Selected probiotics mixture, in powder form, will be administered once daily for three months in the morning.
PlaceboDietary supplement
A placebo (2,7g maltodextrin) will be administered once daily for three months in the morning.
| Study group | Role | What they receive |
|---|---|---|
| Probiotics | Experimental | Administration of a mixture of probiotics once daily for three months Receives: Dietary Supplement: Probiotics |
| Placebo | Placebo comparator | Administration of a placebo (maltodextrin) once daily for three months Receives: Dietary Supplement: Placebo |
What is being measured
The primary outcome is the main question the study is designed to answer.
Changes in plasma IFN-γ level
IFN-γ level will be assessed in plasma samples via ELISA assay.
Measured: Baseline, 12 weeks
Changes in plasma TNF-α level
TNF-α level will be assessed in plasma samples via ELISA assay.
Measured: Baseline, 12 weeks
Changes in plasma IL-4 level
IL-4 level will be assessed in plasma samples via ELISA assay.
Measured: Baseline, 12 weeks
Changes in plasma IL-17A level
IL-17A level will be assessed in plasma samples via ELISA assay.
Measured: Baseline, 12 weeks
Changes in plasma IL-10 level
IL-10 level will be assessed in plasma samples via ELISA assay.
Measured: Baseline, 12 weeks
Changes in plasma Transforming Growth Factor (TGF)-β level
TGF-β level will be assessed in plasma samples via ELISA assay.
Measured: Baseline, 12 weeks
Changes in ROS production capacity
ROS production will be evaluated by the superoxide dismutase-sensitive cytochrome C reduction assay and results of these assays will be expressed as nmol of reduced cytochrome C / 10^6 cells / 30 min.
Measured: Baseline, 12 weeks
Secondary outcomes (14)
Changes in Naive-Memory lymphocytes subpopulations
Lymphocytes subpopulations will be assessed through flow cytometry with panel Naive-Mem + CD45V500 (CD45/CD3/CD4/CD8/CD45RA/CCR7).
The following subpopulations will be assessed as percentage of parent population: CD3+ lymphocytes (% of ly CD45+), CD4+ T lymphocytes (% of CD3+) CD4+ T Naive (% of CD4+), CD4+ T Central Memory (CM) (% of CD4+), CD4+ T Effector Memory (EM), (% of CD4+), CD4+ T Effector Memory cells Re-expressing CD45RA (EMRA) (% of CD4+).
Measured: Baseline, 12 weeks
Changes in T helper (Th) lymphocytes subpopulations
Lymphocytes subpopulations will be assessed through flow cytometry with panel Th+CD3+CD45V500 (CD45/CD3/CD4/CXCR3/CCR4/CCR6).
The following subpopulations will be assessed as percentage of parent population: CD3+ lymphocytes (% of lyCD45+), CD4+ T lymphocytes (% of CD3+), Th1 (% of CD4+), Th1-Th17 (% of CD4+), Th2 (% of CD4+), Th17 (% of CD4+).
Measured: Baseline, 12 weeks
Changes in Regulatory T cells (Treg) lymphocytes subpopulations
Lymphocytes subpopulations will be assessed through flow cytometry with panel TREG+CD3+CD45V500 (CD45/CD3/CD4/CD25/CD127/CD45RA).
The following subpopulations will be assessed as percentage of parent population: CD3+ lymphocytes (% Ly CD45+), CD4+ T lymphocytes (% of CD3+), CD4+ Treg (% of CD4+), Naïve Treg (% of Treg), Active Treg (% of Treg).
Measured: Baseline, 12 weeks
Changes in Monocyte subpopulations
Monocytes subpopulations will be assessed through flow cytometry with Monocyte Panel (CD45/HLA-DR/CD14/CD16).
The following subpopulations will be assessed as percentage of parent population: Classical Monocytes (% of all HLA-DR+ Monocytes), Intermediate Monocytes (% of all HLA-DR+ Monocytes), Non-Classical Monocytes (% of all HLA-DR+ Monocytes).
The three assessed subsets will also be characterised by their Median Fluorescence Intensity (MFI).
Measured: Baseline, 12 weeks
Changes in NK subpopulations
NK cells subpopulations will be assessed through flow cytometry with NK-NKT Cell Panel (CD45/CD3/CD56/CD16/CD57/CD14/CD19).
The following subpopulations will be assessed as percentage of parent population: NK cells (% of Ly CD45+), CD56dim/CD16bright (% of NK), CD56bright/CD16dim (% of NK), CD57- (% of CD56dim/CD16bright), CD57+ (% of CD56dim/CD16bright), CD57- (% of CD56bright/CD16dim), CD57+ (% of CD56bright/CD16dim).
Measured: Baseline, 12 weeks
Changes in CD4+ T cells TBX21 mRNA levels
mRNA levels of the transcription factor gene TBX21 will be assessed through RT-PCR
Measured: Baseline, 12 weeks
Changes in CD4+ T cells STAT1 mRNA levels
mRNA levels of the transcription factor gene STAT1 will be assessed through RT-PCR
Measured: Baseline, 12 weeks
Changes in CD4+ T cells STAT3 mRNA levels
mRNA levels of the transcription factor gene STAT3 will be assessed through RT-PCR
Measured: Baseline, 12 weeks
Changes in CD4+ T cells STAT4 mRNA levels
mRNA levels of the transcription factor gene STAT4 will be assessed through RT-PCR
Measured: Baseline, 12 weeks
Changes in CD4+ T cells STAT6 mRNA levels
mRNA levels of the transcription factor gene STAT6 will be assessed through RT-PCR
Measured: Baseline, 12 weeks
Changes in CD4+ T cells RORC mRNA levels
mRNA levels of the transcription factor gene RORC will be assessed through RT-PCR
Measured: Baseline, 12 weeks
Changes in CD4+ T cells GATA3 mRNA levels
mRNA levels of the transcription factor gene GATA3 will be assessed through RT-PCR
Measured: Baseline, 12 weeks
Changes in CD4+ T cells FOXP3 mRNA levels
mRNA levels of the transcription factor gene FOXP3 will be assessed through RT-PCR
Measured: Baseline, 12 weeks
Changes in CD4+ T cells NR4A2 mRNA levels
mRNA levels of the transcription factor gene NR4A2 will be assessed through RT-PCR
Measured: Baseline, 12 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted30 Dec 2021
- Study start22 Nov 2021
- Primary completionSep 2022 (estimated)
- Study completionJan 2023 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (34)Papers the sponsor has linked to this study.
- Other trials for Parkinson's DiseaseStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Basic science
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Quadruple blind
- Who is masked
- Participant, Care provider, Investigator, Outcomes assessor
- Enrolment
- 88 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Franca Marino
- Sponsor type
- University, hospital or other
- Collaborators
- Università degli Studi del Piemonte Orientale Amedeo Avogadro, Università degli Studi dell'Insubria
- Responsible party
- Sponsor-investigator, Franca Marino, Università degli Studi dell'Insubria
- Investigators
- Franca Marino, Prof., Principal investigator, Centre for Research in Medical Pharmacology
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05173701
- Sponsor's protocol ID
- PROB-PD
- Status last verified
- Jun 2022
- First submitted
- 8 Nov 2021
- Last updated
- 10 Jun 2022
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: All data collected during the trial, in anonymised form, will be made available to other researchers upon request.
Publications
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.
PubMed 28150045Armstrong 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.
PubMed 32044947Stefanis L. alpha-Synuclein in Parkinson's disease. Cold Spring Harb Perspect Med. 2012 Feb;2(2):a009399. doi: 10.1101/cshperspect.a009399.
PubMed 22355802Comi 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.
PubMed 28250745Cappellano 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.
PubMed 23844334Liu 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.
PubMed 18922792Kustrimovic 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.
PubMed 27652978Kustrimovic 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.
PubMed 30001736De 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.
PubMed 32649001Tekriwal 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.
PubMed 27965397Cersosimo 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.
PubMed 23263478Comi 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.
PubMed 25457816McCann 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.
PubMed 26340605Sampson 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.
PubMed 27912057Magistrelli 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.
PubMed 31134068
Study at a glance
From the registry record, last updated by the sponsor on 10 Jun 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Effects of Probiotics on Peripheral Immunity in Parkinson's Disease
- ClinicalTrials.gov ID
- NCT05173701
- Acronym / sponsor ID
- PROB-PD
- Conditions
- Parkinson's Disease
- Keywords
- Parkinson's Disease, Probiotics, Immunomodulation, Microbiota
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 88 participants (estimated)
- Lead sponsor
- Franca MarinoUniversity, hospital or other
- Collaborators
- Università degli Studi del Piemonte Orientale Amedeo Avogadro, Università degli Studi dell'Insubria
- Study start
- 22 Nov 2021 (actual)
- Primary completion
- Sep 2022 (estimated)
- Study completion
- Jan 2023 (estimated)
- First posted
- 30 Dec 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Parkinson's Disease (PD) is a common neurodegenerative disease, with no disease-modifying treatment available, therapy is therefore only symptomatic. The pathophysiology of the disease is still unclear, but inflammatory mechanisms are reported to play a prominent role. An involvement of peripheral adaptive immunity, with an imbalance in T cell subpopulations and in the expression of transcriptional factors (TF) in Cluster of Differentiation (CD) 4 positive T cells has been reported. An initial aggregation of α-synuclein (α-syn) in the gut with subsequent propagation along the vagus nerve to the brain has also been hypothesised. Interestingly, in an α-syn overexpressing murine model, the absence of gut microbiota prevented both microglia activation and motor impairment, pointing to a fundamental role of the microbiota in the development of PD. It has been shown that in Peripheral Blood Mononuclear Cells (PBMC) of PD patients, probiotics modulate the in vitro production of cytokines toward an anti-inflammatory profile. The investigators developed a clinical trial protocol for the evaluation of probiotics' effects on the peripheral immune system profile in Parkinson's Disease patients. ROS, Lymphocyte subpopulations, TF levels in PBMC will be assessed at baseline and after treatment with a mixture of probiotics in PD patients to assess immunomodulatory effects of said treatment. Motor and non-motor symptoms of PD will also be monitored through the trial period.
Detailed description
Introduction Parkinson's Disease (PD) is a common neurodegenerative disease, affecting up to 1-2 people in 1000 at any given time. Prevalence increases with age and is estimated at 1% in people over 65.
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.
Study design
- Primary purpose
- Basic science
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Quadruple blind (participant, care provider, investigator, outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Probiotics | Experimental | Dietary Supplement: ProbioticsAdministration of a mixture of probiotics once daily for three months |
| Placebo | Placebo comparator | Dietary Supplement: PlaceboAdministration of a placebo (maltodextrin) once daily for three months |
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (2 listed)
- a diagnosis of Parkinson's Disease;
- a disease duration between 2 and 5 years at baseline
Key exclusion criteria (8 listed)
- past or concomitant autoimmune disease
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| ProbioticsSelected probiotics mixture, in powder form, will be administered once daily for three months in the morning. | Dietary supplement | Probiotics |
| PlaceboA placebo (2,7g maltodextrin) will be administered once daily for three months in the morning. | Dietary supplement | Placebo |
Primary outcome
Changes in plasma IFN-γ level
Time frame: Baseline, 12 weeks
IFN-γ level will be assessed in plasma samples via ELISA assay.
Changes in plasma TNF-α level
Time frame: Baseline, 12 weeks
TNF-α level will be assessed in plasma samples via ELISA assay.
Changes in plasma IL-4 level
Time frame: Baseline, 12 weeks
IL-4 level will be assessed in plasma samples via ELISA assay.
Changes in plasma IL-17A level
Time frame: Baseline, 12 weeks
IL-17A level will be assessed in plasma samples via ELISA assay.
Changes in plasma IL-10 level
Time frame: Baseline, 12 weeks
IL-10 level will be assessed in plasma samples via ELISA assay.
Changes in plasma Transforming Growth Factor (TGF)-β level
Time frame: Baseline, 12 weeks
TGF-β level will be assessed in plasma samples via ELISA assay.
Changes in ROS production capacity
Time frame: Baseline, 12 weeks
ROS production will be evaluated by the superoxide dismutase-sensitive cytochrome C reduction assay and results of these assays will be expressed as nmol of reduced cytochrome C / 10^6 cells / 30 min.
14 secondary outcomes
Changes in Naive-Memory lymphocytes subpopulations
Time frame: Baseline, 12 weeks
Changes in T helper (Th) lymphocytes subpopulations
Time frame: Baseline, 12 weeks
Changes in Regulatory T cells (Treg) lymphocytes subpopulations
Time frame: Baseline, 12 weeks
Changes in Monocyte subpopulations
Time frame: Baseline, 12 weeks
Changes in NK subpopulations
Time frame: Baseline, 12 weeks
Changes in CD4+ T cells TBX21 mRNA levels
Time frame: Baseline, 12 weeks
Changes in CD4+ T cells STAT1 mRNA levels
Time frame: Baseline, 12 weeks
Changes in CD4+ T cells STAT3 mRNA levels
Time frame: Baseline, 12 weeks
Changes in CD4+ T cells STAT4 mRNA levels
Time frame: Baseline, 12 weeks
Changes in CD4+ T cells STAT6 mRNA levels
Time frame: Baseline, 12 weeks
Changes in CD4+ T cells RORC mRNA levels
Time frame: Baseline, 12 weeks
Changes in CD4+ T cells GATA3 mRNA levels
Time frame: Baseline, 12 weeks
Changes in CD4+ T cells FOXP3 mRNA levels
Time frame: Baseline, 12 weeks
Changes in CD4+ T cells NR4A2 mRNA levels
Time frame: Baseline, 12 weeks
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 10 Jun 2022.
- Background: PubMed 28150045Tysnes 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.
- Background: PubMed 32044947Armstrong 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.
- Background: PubMed 22355802Stefanis L. alpha-Synuclein in Parkinson's disease. Cold Spring Harb Perspect Med. 2012 Feb;2(2):a009399. doi: 10.1101/cshperspect.a009399.
- Background: PubMed 28250745Comi 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.
- Background: PubMed 23844334Cappellano 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.
- Background: PubMed 18922792Liu 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.
- Background: PubMed 27652978Kustrimovic 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.
- Background: PubMed 30001736Kustrimovic 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.
- Background: PubMed 32649001De 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.
- Background: PubMed 27965397Tekriwal 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.
- Background: PubMed 23263478Cersosimo 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.
- Background: PubMed 25457816Comi 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.
- Individual participant dataSharing planned: Yes. All data collected during the trial, in anonymised form, will be made available to other researchers upon request.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Franca Marino, Prof. principal investigator
Centre for Research in Medical Pharmacology
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Probiotics in people with Parkinson's Disease, run by Franca Marino at 1 site in Italy.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 10 Jun 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Italy. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Changes in plasma IFN-γ level (time frame: Baseline, 12 weeks). The study lists 7 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05173701, which also lists 34 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 10 Jun 2022.