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The purpose of this study is to investigate whether cognitive deficits, structural and functional changes can be detected before symptom onset in presymptomatic progranuline mutation carriers. The main objectives of the project are to identify novel cognitive, brain imaging markers and peripheral biomarkers for early diagnosis of FTLD, and to follow disease progression.
The project focuses on the progranulin (PGRN) gene mutation, one of the most frequent genetic forms of frontotemporal dementias (FTD, or frontotemporal lobar degeneration, FTLD). FTD is the second commonest cause of degenerative dementia in presenium after Alzheimer's disease. Behavioral and cognitive impairments progressively lead to dementia. Two major pathological subtypes are now defined in FTD, FTD-TDP and FTD-TAU.
FTD is difficult to detect at an early stage, and no clinical, biological or imaging features can predict the underlying pathology in living patients. Therapeutic perspectives have emerged against tau aggregation, PGRN deficit and C9orf72 expansion. Presymptomatic carriers of genetic FTD would benefit, before onset of symptoms, from these therapeutics that would delay or prevent the disease. At this step, it becomes crucial to develop markers to know how many years before symptoms, the pathological process begins, to treat the patients at the earliest stage of the disease. Markers are also needed to predict the pathology (FTD-TDP/FTD-tau) in patients that will be eligible for trials targeting specific pathological lesion. The main objectives of the project are to identify novel cognitive, brain imaging markers and peripheral biomarkers for early diagnosis of FTLD, and to follow disease progression. Ninety participants including 8 patients and 82 'at-risk' individuals will be recruited and evaluated by clinical partners of the project (Paris, Lille, Rouen, Toulouse, Saint-Etienne, Marseille, Nantes). 'At-risk individuals' are the first- degree relatives of PGRN patients, who have a high a risk (50%) to carry the mutation.
Brain structural changes will be evaluated by voxel-based morphometry (SPM12 software) to assess global brain atrophy in one with the evaluation of atypical shape patterns such as cortical thickness (Freesurfer software) and the study of the cortical sulci (BrainVISA/Morphologist software).
Fluoro Deoxy DGlucose-Positron Emission Tomography (FDG-PET) will allow the identification of brain metabolic markers. Then voxel-based methods using Statistical Parametric Mapping software will be applied to compare different groups or analyze correlations between brain metabolism and cognitive deficits.
The identification of peripheral biomarkers of disease onset and disease progression will take advantage from RNA sequencing, in order to study gene expression and RNA splicing alterations in lymphocytes of patients and 'at risk individuals'.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with a PGRN gene mutation | Other | Symptomatic patients with a PGRN gene mutation |
|
| Presymptomatic individuals | Other | Asymptomatic 'At-risk' individuals with a PGRN gene mutation |
|
| healthy volunteers | Other | 'At-risk' individuals without a PGRN gene mutation |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Behavioral : Characterization | Behavioral | Behavioral scales and neuropsychological tests; MRI, SPECT/PET |
|
| Measure | Description | Time Frame |
|---|---|---|
| Rate of change of Frontal Assessment Battery score (/18) | Executive functions changes over time (rate of change in neuropsychological test) | at baseline 0 Months,at 42 Months,at 72 Months |
| Rate of change of Trail Making Test B-A time (seconds) | Cognitive flexibility changes over time (rate of change in neuropsychological test) | at baseline 0 Months,at 42 Months,at 72 Months |
| Rate of change of Ekman's faces test score (/35) | Emotional assessment changes over time (rate of change in neuropsychological test) | at baseline 0 Months,at 42 Months,at 72 Months |
| Rate of change of Faux-pas test score (/35) | Social cognition changes over time (rate of change in neuropsychological test) | at baseline 0 Months,at 42 Months,at 72 Months |
| Rate of change of Digit span score | Short-term memory changes over time (rate of change in neuropsychological test) | at baseline 0 Months,at 42 Months,at 72 Months |
| Rate of change of Free and Cued Selective Reminding test, total recall score (/48) | Long-term memory changes over time (rate of change in neuropsychological test) | at baseline 0 Months,at 42 Months,at 72 Months |
| Rate of change of Boston Naming test score (/34) | Language changes over time (rate of change in neuropsychological test) |
| Measure | Description | Time Frame |
|---|---|---|
| Correlations between cognitive and behavioral scores, MRI morphological criteria, cerebral metabolism by FDG-PET and transcriptome analysis in presymptomatic subjects and in symptomatic patients at early disease stage | Voxel-based methods using Statistical Parametric Mapping software will be applied to compare different groups or analyze correlations between brain atrophy/metabolism and cognitive deficits. |
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Inclusion Criteria:
Inclusion criteria for symptomatic patients:
Inclusion criteria for 'at-risk' asymptomatic relatives:
Exclusion Criteria:
Exclusion criteria for symptomatic patients:
Exclusion criteria for 'at-risk' asymptomatic relatives :
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| Name | Affiliation | Role |
|---|---|---|
| Isabelle LE BER, MD, PhD | Assistance Publique - Hôpitaux de Paris | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Groupe Hospitalier Pitié-Salpêtrière - Charles Foix | Paris | 75013 | France | |||
| Pitié Salpetriere Hospital |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26401709 | Background | Caroppo P, Habert MO, Durrleman S, Funkiewiez A, Perlbarg V, Hahn V, Bertin H, Gaubert M, Routier A, Hannequin D, Deramecourt V, Pasquier F, Rivaud-Pechoux S, Vercelletto M, Edouart G, Valabregue R, Lejeune P, Didic M, Corvol JC, Benali H, Lehericy S, Dubois B, Colliot O, Brice A, Le Ber I; Predict-PGRN study group. Lateral Temporal Lobe: An Early Imaging Marker of the Presymptomatic GRN Disease? J Alzheimers Dis. 2015;47(3):751-9. doi: 10.3233/JAD-150270. | |
| 36257714 |
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| ID | Term |
|---|---|
| D057174 | Frontotemporal Lobar Degeneration |
| D057180 | Frontotemporal Dementia |
| ID | Term |
|---|---|
| D003704 | Dementia |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| at baseline 0 Months,at 42 Months,at 72 Months |
| Rate of change of Gestural Praxis battery score (/168) | Gestural praxis changes over time (rate of change in neuropsychological test) | at baseline 0 Months,at 42 Months, at 72 Months |
| Rate of change of Neuropsychiatric Inventory score (/144) | Behavioral changes over time (rate of change in neuropsychological questionnaire) | at baseline 0 Months,at 42 Months,at 72 Months |
| Rate of change of Apathy Evaluation Scale score (/42) | Apathy changes over time (rate of change in neuropsychological questionnaire) | at baseline 0 Months,at 42 Months,at 72 Months |
| Change in MRI morphological criteria (brain atrophy by voxel-based morphometry) | at baseline 0 Months,at 42 Months,at 72 Months |
| Change in cerebral metabolism by PET (metabolic markers by Fluoro-DeoxyDGlucose-Positron Emission Tomography (FDG-PET)) | at baseline 0 Months,at 42 Months,at 72 Months |
| at baseline 0 Months,at 42 Months,at 72 Months |
| Differences in transcriptome analysis between symptomatic patients, asymptomatic carriers and controls. | Study gene expression and RNA splicing alterations in lymphocytes (RNA sequencing) | at baseline 0 Months,at 42 Months,at 72 Months |
| Paris |
| 75013 |
| France |
| Result |
| Saracino D, Sellami L, Boniface H, Houot M, Pelegrini-Issac M, Funkiewiez A, Rinaldi D, Locatelli M, Azuar C, Causse-Lemercier V, Jaillard A, Pasquier F, Chastan M, Wallon D, Hitzel A, Pariente J, Pallardy A, Boutoleau-Bretonniere C, Guedj E, Didic M, Migliaccio R, Kas A, Habert MO, Le Ber I; Predict-PGRN. Brain Metabolic Profile in Presymptomatic GRN Carriers Throughout a 5-Year Follow-up. Neurology. 2023 Jan 24;100(4):e396-e407. doi: 10.1212/WNL.0000000000201439. Epub 2022 Oct 18. |
| 34349004 | Derived | Saracino D, Dorgham K, Camuzat A, Rinaldi D, Rametti-Lacroux A, Houot M, Clot F, Martin-Hardy P, Jornea L, Azuar C, Migliaccio R, Pasquier F, Couratier P, Auriacombe S, Sauvee M, Boutoleau-Bretonniere C, Pariente J, Didic M, Hannequin D, Wallon D; French Research Network on FTD/FTD-ALS; PREV-DEMALS and Predict-PGRN study groups; Colliot O, Dubois B, Brice A, Levy R, Forlani S, Le Ber I. Plasma NfL levels and longitudinal change rates in C9orf72 and GRN-associated diseases: from tailored references to clinical applications. J Neurol Neurosurg Psychiatry. 2021 Dec;92(12):1278-1288. doi: 10.1136/jnnp-2021-326914. Epub 2021 Aug 4. |
| D057177 |
| TDP-43 Proteinopathies |
| D019636 | Neurodegenerative Diseases |
| D057165 | Proteostasis Deficiencies |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |