Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Hospital del Mar Research Institute (IMIM) | OTHER |
| Corporacion Parc Tauli | OTHER |
| Ministry of Science and Innovation, Spain | OTHER_GOV |
Not provided
Not provided
Not provided
Not provided
The purpose of this non-interventional test /re-test study is to assess neural biomarkers in adult subjects with Fragile X syndrome compared to those measured in a population of typically developing adults
This study consists of a screening period and two cross sectional evaluations assessed in one month interval (test/re-test), first on the Visit 1 (Basal) and the other on the Visit 2 (end-of-study visit, EOS).
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Group 1 | Fragile X syndrome |
| |
| Group 2 | Typically Developing Subjects |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Any | Other | Any |
|
| Measure | Description | Time Frame |
|---|---|---|
| Cognitive profile of FXS patients compared to neurotypical subjects using the NIH-TCB-ID Toolbox | The NIH-Toolbox Cognitive Battery for Intellectual Disabilities (NIH-TCB-ID) provides a reliable, validated and standardized measure (composite scores) that can be used as efficacy endpoints in clinical studies in patients with neurodevelopmental disorders from 3 to 85 years old. The Fluid Cognition composite score of the NIH Toolbox cognitive battery combines the scores of five tests assessing the following cognitive domains: i) Cognitive flexibility, ii) Inhibitory control and visual attention, iii) Episodic memory, iv) Processing speed and v) Working memory. | Day 1 and Day 28 (± 3 days) |
| Neural oscillations using Electroencephalography (EEG) | Multichannel EEG will be recorded using a mobile wireless helmet for high precision EEG monitoring. In total, 20 EEG channels will be used to capture brainwave activity. The EEG test contains three well differentiated sections: auditory oddball, resting-state (eyes open and eyes closed) and auditory steady-state response (ASSR). Before starting the auditory oddball, the subject will conduct a training section (40 seconds) to present the type of sounds and to check that they have understood the task by practicing it. | Day 1 |
| Point of gaze using eye tracking | Eye tracking technology will be used to record X and Y coordinates of eye position and pupil diameter. Stimuli will consist on 60 coloured photographs of adult human faces (equal numbers of males and females; different races and ethnicities), each face exhibiting a calm, happy, or fearful expression, and 60 scrambled versions of the face images. Testing will be conducted in a quiet room with the lights turned off. Each trial will start with presentation of a scrambled face image for 1 s followed immediately by its matched face image for 3 s. An inter-trial interval (ITI) containing a uniform grey screen will be shown for 0.5, 1, or 2 s, randomly determined. The order of face presentation will be pseudorandomized and each eye tracking session will last approximately 6 min. | Day 1 and Day 28 (± 3 days) |
Not provided
Not provided
Demographics common to all subjects:
Subjects with Fragile X syndrome Inclusion Criteria:
Subjects with Fragile X syndrome Exclusion Criteria:
Typically Developing Subjects Inclusion Criteria:
Typically Developing Subjects Exclusion Criteria:
Not provided
Not provided
Fragile X syndrome adult patients compared to neurotypical adults
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Rafael De la Torre Fornell, Pharm, PhD | Hospital del Mar Research Institute | Principal Investigator |
| Ana Roche MartÃnez, MD, PhD | Consorci Corporació Sanità ria Parc TaulÃ. Institut d'Investigació i Innovació Parc Taulà (I3PT) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hospital del Mar Research Institute (HMRI) | Barcelona | Barcelona | 08003 | Spain | ||
| Consorci Corporació Sanitaria Parc TaulÃ. Institut Investigació i Innovació Parc Taulà (I3PT) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35322102 | Background | Sotoudeh Anvari M, Vasei H, Najmabadi H, Badv RS, Golipour A, Mohammadi-Yeganeh S, Salehi S, Mohamadi M, Goodarzynejad H, Mowla SJ. Identification of microRNAs associated with human fragile X syndrome using next-generation sequencing. Sci Rep. 2022 Mar 23;12(1):5011. doi: 10.1038/s41598-022-08916-4. | |
| 36313066 | Background |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D005600 | Fragile X Syndrome |
| D065886 | Neurodevelopmental Disorders |
| D002493 | Central Nervous System Diseases |
| D008607 | Intellectual Disability |
| D019954 | Neurobehavioral Manifestations |
| D040181 | Genetic Diseases, X-Linked |
| D000013 | Congenital Abnormalities |
| D035583 | Rare Diseases |
| ID | Term |
|---|---|
| D038901 | X-Linked Intellectual Disability |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D025064 | Sex Chromosome Disorders |
Not provided
Not provided
Not provided
Not provided
Not provided
Plasma, urine and hair samples
| Behavior troubles of the FXS patients compared to neurotypical subjects using the Aberrant Behavior Checklist (ABC) |
Standardized rating scale used for assessing problematic behavior of individuals with developmental disabilities. The questionnaire explores problem behaviors across 5 domains: Irritability (15 items), Lethargy/Socially Withdrawal (16 items), Stereotypy Behavior (7 items), Hyperactivity/Noncompliance (16 items), Inappropriate Speech (4 items). Each item is scored as 0 (never a problem), 1 (slight problem), 2 (moderately serious problem), or 3 (severe problem). For the present study the total score for each of the 5 domains or subscales will be calculated and used for the analyses, as a good measure of the psychiatric symptom and behavioral disturbance profile. In all cases, higher scores in the mentioned subscales and total score indicated a greater presence and severity of behavioral problems: Agitation [0-45]; Lethargy/Social Withdrawal [0-48]; Stereotypic Behavior [0-21]; Hyperactivity/Noncompliance [0-48] and Inappropriate Speech [0-12]. |
| ≤ 1 month prior to Day 1 |
| Adaptative functioning using the Vineland Adaptive Behaviour Scale (VABS-3) | The Vineland Adaptative Behaviour Scale 3 (VABS-3) is a psychometric instrument used in child and adolescent clinical psychology for the assessment of individuals with different types of developmental delays, regarding an adaptive level of functioning by standardized interview of the person or their caregiver through their activities of daily living such as walking, talking, getting dressed, going to school, preparing a meal, etc. Three domains explore communication, socialization and daily living, which correspond to the 3 domains of adaptive functioning recognized by the American Association on Intellectual and Developmental Disabilities. | ≤ 1 month prior to Day 1 |
| Clinician-rated global functioning using the Clinical Global Impression (CGI) | The Clinical Global Impression Scale (CGI) comprises two companion one-item measures evaluating the following:
| ≤ 1 month prior to Day 1 and Day 28 (± 3 days) |
| Stress biomarkers of the FXS patients compared to neurotypical subjects measured by cortisol concentrations in hair (occipital area) | Hair cortisol analysis characterizes chronic stress as a risk factor for chronic illness progression and is known as a biomarker of the effectiveness of stress reduction interventions. Approximately 3 cm of occipital hair will be collected at the Screening visit for the determination of cortisol concentrations [range 2.5 - 97.5 pg/mg]. | ≤ 1 month prior to Day 1 |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects determining vitamin D (25-Hydroxy) concentrations in serum | Vitamin D concentrations are also useful due to lack of sunlight exposure is the primary reason for the worldwide epidemic of vitamin D deficiency. The lack of sunlight exposure is involved in serotonin and melatonin production. Venous blood samples will be collected by individual venepuncture or via an indwelling catheter to measure vitamin D (25-Hydroxy) concentrations in serum [25 - 150 ng/mL]. | Day 1 and Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects determining 24h urine cortisol concentrations | The activation of the Hypothalamic Pituitary Adrenal (HPA) axis leads to the synthesis and release of cortisol, a glucocorticoid hormone that peaks in the early morning hours. 24-hour urine samples will be collected before Visit 1 and Visit 2 for the determination of cortisol concentrations [range 11.5 - 102.0 µg/24h]. | Day 1 and Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using sleep diaries | Sleep schedule will be assessed by using sleep diaries to record the quality and quantity of sleep. A sleep diary allows recording when the subject goes to bed, when the subject wakes up during the night and when the subject wakes up in the morning. This will help to understand the sleep pattern and how much sleep the subject gets. It will also show how often the subject has interrupted sleep. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: number of days | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the number of days [days]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: percentage of wear | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the percentage of wear [%]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: total steps | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the total steps [steps]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: steps per day | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the steps per day [steps/day]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: average of energy expenditure | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the average of energy expenditure [kcal/day]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: percentage of sedentary physical activity | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the percentage of sedentary physical activity [%]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: percentage of light physical activity | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the percentage of light physical activity [%]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: percentage of moderate physical activity | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the percentage of moderate physical activity [%]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: percentage of vigorous physical activity | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the percentage of vigorous physical activity [%]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: percentage of very vigorous physical activity | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the percentage of very vigorous physical activity [%]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: bedtime | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the bedtime [hh:mm]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: wake-up time | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the wake-up time [hh:mm]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: mean time in bed | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the mean time in bed [minutes]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: total mean sleep time | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the total mean sleep time [minutes]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: sleep efficiency | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the sleep efficiency [%]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: wake after sleep onset | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the wake after sleep onset [minutes]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: average of awakening | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the average of awakening [awakes]. | From Day 1 to Day 28 (± 3 days) |
| Biorhythm characteristics of FXS patients compared to neurotypical subjects using actigraphy: hours spent awake at night | Sleep-wake rhythms will be assessed using a wearable actigraph which will register the hours spent awake at night [minutes]. | From Day 1 to Day 28 (± 3 days) |
| Quality of life of the FXS patients compared to neurotypical subjects using the Paediatric Quality of Life Inventory (PedsQL) | Health-related quality of life (HRQoL) is a multidimensional concept involving physical, psychological, social, and cognitive aspects of life. Individuals with Fragile X syndrome (FXS) experience a life-long disorder that impacts the HRQoL of the affected individual and their family. HRQoL has been correlated with established measures of functioning in FXS using the: i) Cognitive Functioning Scale [0-100], ii) Quality of Life Scale, which is composite of the following items: Physical health and activities [0-32], Emotional state [0-20], Social activities [range 0-20], School activities [0-20]; and iii) Family impact scale, which is composite of the following items: Physical health and activities [0-24], Emotional state [0-20], Social activities [0-16], Cognitive function [0-20], Communication [0-12], Preoccupation [0-20], Daily activities [0-12] and Family relationships [0-20]. | ≤ 1 month prior to Day 1 |
| Quality of sleep of the FXS patients compared to neurotypical subjects using Pittsburgh sleep quality index (PSQI) | The Pittsburgh sleep quality index (PSQI) consists in a self-report questionnaire that assesses sleep quality and quantity. The 19-item self-report questionnaire yields 7 component scores: i) subjective sleep quality [0-3], ii) sleep latency [0-3], ii) duration of the sleep [0-3], iii) habitual sleep efficiency [0-3], iv) sleep disturbances [0-3], v) use of sleeping medication [0-3], and vi) daytime dysfunction [0-3]. There are five additional questions that are completed by a bed partner if there is one. | Day 1 and Day 28 (± 3 days) |
| FMRP protein in peripheral blood of FXS patients in peripheral blood compared to neurotypical subjects | Venous blood samples will be obtained by extraction of peripheral blood from participants in a EDTA tube. The levels of FMRP in the FMR1 gene will be reported as a relative value of the mean levels calculated for control [range 0-1]. | ≤ 1 month prior to Day 1 |
| miRNA profile of FXS patients in plasma compared to neurotypical subjects | Venous blood samples will be obtained by extraction of peripheral blood from participants. For the determination of the miRNomic profile, 200 μL of human plasma will be processed using Plasma/Serum miRNeasy Serum/Plasma kit to extract RNA enriched in small RNAs. | Day 1 and Day 28 (± 3 days) |
| Sabadell |
| Barcelona |
| 08208 |
| Spain |
| Couto RR, Kubaski F, Siebert M, Felix TM, Brusius-Facchin AC, Leistner-Segal S. Increased Serum Levels of miR-125b and miR-132 in Fragile X Syndrome: A Preliminary Study. Neurol Genet. 2022 Oct 26;8(6):e200024. doi: 10.1212/NXG.0000000000200024. eCollection 2022 Dec. |
| 26663181 | Background | Lin SL. microRNAs and Fragile X Syndrome. Adv Exp Med Biol. 2015;888:107-21. doi: 10.1007/978-3-319-22671-2_7. |
| 23366795 | Background | Daly I, Pichiorri F, Faller J, Kaiser V, Kreilinger A, Scherer R, Muller-Putz G. What does clean EEG look like? Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3963-6. doi: 10.1109/EMBC.2012.6346834. |
| 12705812 | Background | Castren M, Paakkonen A, Tarkka IM, Ryynanen M, Partanen J. Augmentation of auditory N1 in children with fragile X syndrome. Brain Topogr. 2003 Spring;15(3):165-71. doi: 10.1023/a:1022606200636. |
| 35075104 | Background | Kenny A, Wright D, Stanfield AC. EEG as a translational biomarker and outcome measure in fragile X syndrome. Transl Psychiatry. 2022 Jan 24;12(1):34. doi: 10.1038/s41398-022-01796-2. |
| 19383661 | Background | Varni JW, Limbers CA. The PedsQL 4.0 Generic Core Scales Young Adult Version: feasibility, reliability and validity in a university student population. J Health Psychol. 2009 May;14(4):611-22. doi: 10.1177/1359105309103580. |
| 32746626 | Background | Aman MG, Norris M, Kaat AJ, Andrews H, Choo TH, Chen C, Wheeler A, Bann C, Erickson C. Factor Structure of the Aberrant Behavior Checklist in Individuals with Fragile X Syndrome: Clarifications and Future Guidance. J Child Adolesc Psychopharmacol. 2020 Oct;30(8):512-521. doi: 10.1089/cap.2019.0177. Epub 2020 Aug 3. |
| 9786440 | Background | Prosser H, Moss S, Costello H, Simpson N, Patel P, Rowe S. Reliability and validity of the Mini PAS-ADD for assessing psychiatric disorders in adults with intellectual disability. J Intellect Disabil Res. 1998 Aug;42 ( Pt 4):264-72. doi: 10.1046/j.1365-2788.1998.00146.x. |
| 32094241 | Background | Shields RH, Kaat AJ, McKenzie FJ, Drayton A, Sansone SM, Coleman J, Michalak C, Riley K, Berry-Kravis E, Gershon RC, Widaman KF, Hessl D. Validation of the NIH Toolbox Cognitive Battery in intellectual disability. Neurology. 2020 Mar 24;94(12):e1229-e1240. doi: 10.1212/WNL.0000000000009131. Epub 2020 Feb 24. |
| 2748771 | Background | Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4. |
| 19564050 | Background | Tottenham N, Tanaka JW, Leon AC, McCarry T, Nurse M, Hare TA, Marcus DJ, Westerlund A, Casey BJ, Nelson C. The NimStim set of facial expressions: judgments from untrained research participants. Psychiatry Res. 2009 Aug 15;168(3):242-9. doi: 10.1016/j.psychres.2008.05.006. Epub 2009 Jun 28. |
| 26855682 | Background | Bailey DB Jr, Berry-Kravis E, Wheeler A, Raspa M, Merrien F, Ricart J, Koumaras B, Rosenkranz G, Tomlinson M, von Raison F, Apostol G. Mavoglurant in adolescents with fragile X syndrome: analysis of Clinical Global Impression-Improvement source data from a double-blind therapeutic study followed by an open-label, long-term extension study. J Neurodev Disord. 2016;8:1. doi: 10.1186/s11689-015-9134-5. Epub 2015 Dec 15. |
| 10631132 | Background | Tassone F, Hagerman RJ, Taylor AK, Gane LW, Godfrey TE, Hagerman PJ. Elevated levels of FMR1 mRNA in carrier males: a new mechanism of involvement in the fragile-X syndrome. Am J Hum Genet. 2000 Jan;66(1):6-15. doi: 10.1086/302720. |
| 37686279 | Background | Zafarullah M, Li J, Salemi MR, Phinney BS, Durbin-Johnson BP, Hagerman R, Hessl D, Rivera SM, Tassone F. Blood Proteome Profiling Reveals Biomarkers and Pathway Alterations in Fragile X PM at Risk for Developing FXTAS. Int J Mol Sci. 2023 Aug 30;24(17):13477. doi: 10.3390/ijms241713477. |
| 30979884 | Background | Bowling H, Bhattacharya A, Zhang G, Alam D, Lebowitz JZ, Bohm-Levine N, Lin D, Singha P, Mamcarz M, Puckett R, Zhou L, Aryal S, Sharp K, Kirshenbaum K, Berry-Kravis E, Neubert TA, Klann E. Altered steady state and activity-dependent de novo protein expression in fragile X syndrome. Nat Commun. 2019 Apr 12;10(1):1710. doi: 10.1038/s41467-019-09553-8. |
| 28242040 | Background | AlOlaby RR, Sweha SR, Silva M, Durbin-Johnson B, Yrigollen CM, Pretto D, Hagerman RJ, Tassone F. Molecular biomarkers predictive of sertraline treatment response in young children with fragile X syndrome. Brain Dev. 2017 Jun;39(6):483-492. doi: 10.1016/j.braindev.2017.01.012. Epub 2017 Feb 24. |
| 37797798 | Background | Bekheet MHY, Mansour LA, Elkaffas RH, Kamel MA, Elmonem MA. Serum matrix metalloproteinase-9 (MMP9) and amyloid-beta protein precursor (APP) as potential biomarkers in children with Fragile-X syndrome: A cross sectional study. Clin Biochem. 2023 Nov;121-122:110659. doi: 10.1016/j.clinbiochem.2023.110659. Epub 2023 Oct 4. |
| 34312401 | Background | Dionne O, Corbin F. A new strategy to uncover fragile X proteomic biomarkers using the nascent proteome of peripheral blood mononuclear cells (PBMCs). Sci Rep. 2021 Jul 26;11(1):15148. doi: 10.1038/s41598-021-94027-5. |
| 31035599 | Background | Zafarullah M, Tassone F. Molecular Biomarkers in Fragile X Syndrome. Brain Sci. 2019 Apr 27;9(5):96. doi: 10.3390/brainsci9050096. |
| 12183220 | Background | Hessl D, Glaser B, Dyer-Friedman J, Blasey C, Hastie T, Gunnar M, Reiss AL. Cortisol and behavior in fragile X syndrome. Psychoneuroendocrinology. 2002 Oct;27(7):855-72. doi: 10.1016/s0306-4530(01)00087-7. |
| 21974976 | Background | Russell E, Koren G, Rieder M, Van Uum S. Hair cortisol as a biological marker of chronic stress: current status, future directions and unanswered questions. Psychoneuroendocrinology. 2012 May;37(5):589-601. doi: 10.1016/j.psyneuen.2011.09.009. Epub 2011 Oct 4. |
| 26055775 | Background | Wright KD, Hickman R, Laudenslager ML. Hair Cortisol Analysis: A Promising Biomarker of HPA Activation in Older Adults. Gerontologist. 2015 Jun;55 Suppl 1(Suppl 1):S140-5. doi: 10.1093/geront/gnu174. |
| 35163353 | Background | Prono F, Bernardi K, Ferri R, Bruni O. The Role of Vitamin D in Sleep Disorders of Children and Adolescents: A Systematic Review. Int J Mol Sci. 2022 Jan 27;23(3):1430. doi: 10.3390/ijms23031430. |
| 27720735 | Background | Hardiman RL, Bratt A. Hypothalamic-pituitary-adrenal axis function in Fragile X Syndrome and its relationship to behaviour: A systematic review. Physiol Behav. 2016 Dec 1;167:341-353. doi: 10.1016/j.physbeh.2016.09.030. Epub 2016 Oct 5. |
| 32477175 | Background | Dueck A, Reis O, Bastian M, van Treeck L, Weirich S, Haessler F, Fiedler A, Koelch M, Berger C. Feasibility of a Complex Setting for Assessing Sleep and Circadian Rhythmicity in a Fragile X Cohort. Front Psychiatry. 2020 May 14;11:361. doi: 10.3389/fpsyt.2020.00361. eCollection 2020. |
| 21267642 | Background | Farzin F, Scaggs F, Hervey C, Berry-Kravis E, Hessl D. Reliability of eye tracking and pupillometry measures in individuals with fragile X syndrome. J Autism Dev Disord. 2011 Nov;41(11):1515-22. doi: 10.1007/s10803-011-1176-2. |
| 31418535 | Background | Klusek J, Moser C, Schmidt J, Abbeduto L, Roberts JE. A novel eye-tracking paradigm for indexing social avoidance-related behavior in fragile X syndrome. Am J Med Genet B Neuropsychiatr Genet. 2020 Jan;183(1):5-16. doi: 10.1002/ajmg.b.32757. Epub 2019 Aug 16. |
| 38313274 | Background | Ethridge LE, Pedapati EV, Schmitt LM, Norris JE, Auger E, De Stefano LA, Sweeney JA, Erickson CA. Validating brain activity measures as reliable indicators of individual diagnostic group and genetically mediated sub-group membership Fragile X Syndrome. Res Sq [Preprint]. 2024 Jan 18:rs.3.rs-3849272. doi: 10.21203/rs.3.rs-3849272/v1. |
| 19804849 | Background | Coffee B, Keith K, Albizua I, Malone T, Mowrey J, Sherman SL, Warren ST. Incidence of fragile X syndrome by newborn screening for methylated FMR1 DNA. Am J Hum Genet. 2009 Oct;85(4):503-14. doi: 10.1016/j.ajhg.2009.09.007. |
| 24700618 | Background | Hunter J, Rivero-Arias O, Angelov A, Kim E, Fotheringham I, Leal J. Epidemiology of fragile X syndrome: a systematic review and meta-analysis. Am J Med Genet A. 2014 Jul;164A(7):1648-58. doi: 10.1002/ajmg.a.36511. Epub 2014 Apr 3. |
| 23259642 | Background | Tassone F, Iong KP, Tong TH, Lo J, Gane LW, Berry-Kravis E, Nguyen D, Mu LY, Laffin J, Bailey DB, Hagerman RJ. FMR1 CGG allele size and prevalence ascertained through newborn screening in the United States. Genome Med. 2012 Dec 21;4(12):100. doi: 10.1186/gm401. eCollection 2012. |
| 11545690 | Background | Crawford DC, Acuna JM, Sherman SL. FMR1 and the fragile X syndrome: human genome epidemiology review. Genet Med. 2001 Sep-Oct;3(5):359-71. doi: 10.1097/00125817-200109000-00006. |
| 25287458 | Background | Kidd SA, Lachiewicz A, Barbouth D, Blitz RK, Delahunty C, McBrien D, Visootsak J, Berry-Kravis E. Fragile X syndrome: a review of associated medical problems. Pediatrics. 2014 Nov;134(5):995-1005. doi: 10.1542/peds.2013-4301. Epub 2014 Oct 6. |
| 27754417 | Background | Rajan-Babu IS, Chong SS. Molecular Correlates and Recent Advancements in the Diagnosis and Screening of FMR1-Related Disorders. Genes (Basel). 2016 Oct 14;7(10):87. doi: 10.3390/genes7100087. |
| 26489042 | Background | Tassone F. Advanced technologies for the molecular diagnosis of fragile X syndrome. Expert Rev Mol Diagn. 2015;15(11):1465-73. doi: 10.1586/14737159.2015.1101348. Epub 2015 Oct 21. |
| 19574929 | Background | Leehey MA. Fragile X-associated tremor/ataxia syndrome: clinical phenotype, diagnosis, and treatment. J Investig Med. 2009 Dec;57(8):830-6. doi: 10.2310/JIM.0b013e3181af59c4. |
| 20585378 | Background | Utari A, Adams E, Berry-Kravis E, Chavez A, Scaggs F, Ngotran L, Boyd A, Hessl D, Gane LW, Tassone F, Tartaglia N, Leehey MA, Hagerman RJ. Aging in fragile X syndrome. J Neurodev Disord. 2010 Jun;2(2):70-76. doi: 10.1007/s11689-010-9047-2. Epub 2010 May 12. |
| 21475730 | Background | Cordeiro L, Ballinger E, Hagerman R, Hessl D. Clinical assessment of DSM-IV anxiety disorders in fragile X syndrome: prevalence and characterization. J Neurodev Disord. 2011 Mar;3(1):57-67. doi: 10.1007/s11689-010-9067-y. Epub 2010 Dec 3. |
| 30642066 | Background | Bartholomay KL, Lee CH, Bruno JL, Lightbody AA, Reiss AL. Closing the Gender Gap in Fragile X Syndrome: Review on Females with FXS and Preliminary Research Findings. Brain Sci. 2019 Jan 12;9(1):11. doi: 10.3390/brainsci9010011. |
| 29971948 | Background | Sauna-Aho O, Bjelogrlic-Laakso N, Siren A, Arvio M. Signs indicating dementia in Down, Williams and Fragile X syndromes. Mol Genet Genomic Med. 2018 Sep;6(5):855-860. doi: 10.1002/mgg3.430. Epub 2018 Jul 3. |
| 22043169 | Background | McLennan Y, Polussa J, Tassone F, Hagerman R. Fragile x syndrome. Curr Genomics. 2011 May;12(3):216-24. doi: 10.2174/138920211795677886. |
| 18570292 | Background | Bailey DB Jr, Raspa M, Olmsted M, Holiday DB. Co-occurring conditions associated with FMR1 gene variations: findings from a national parent survey. Am J Med Genet A. 2008 Aug 15;146A(16):2060-9. doi: 10.1002/ajmg.a.32439. |
| 27916527 | Background | Pilaz LJ, Lennox AL, Rouanet JP, Silver DL. Dynamic mRNA Transport and Local Translation in Radial Glial Progenitors of the Developing Brain. Curr Biol. 2016 Dec 19;26(24):3383-3392. doi: 10.1016/j.cub.2016.10.040. Epub 2016 Dec 1. |
| 30503263 | Background | Danesi C, Achuta VS, Corcoran P, Peteri UK, Turconi G, Matsui N, Albayrak I, Rezov V, Isaksson A, Castren ML. Increased Calcium Influx through L-type Calcium Channels in Human and Mouse Neural Progenitors Lacking Fragile X Mental Retardation Protein. Stem Cell Reports. 2018 Dec 11;11(6):1449-1461. doi: 10.1016/j.stemcr.2018.11.003. Epub 2018 Nov 29. |
| 26182420 | Background | Pasciuto E, Ahmed T, Wahle T, Gardoni F, D'Andrea L, Pacini L, Jacquemont S, Tassone F, Balschun D, Dotti CG, Callaerts-Vegh Z, D'Hooge R, Muller UC, Di Luca M, De Strooper B, Bagni C. Dysregulated ADAM10-Mediated Processing of APP during a Critical Time Window Leads to Synaptic Deficits in Fragile X Syndrome. Neuron. 2015 Jul 15;87(2):382-98. doi: 10.1016/j.neuron.2015.06.032. |
| 25057190 | Background | Sidhu H, Dansie LE, Hickmott PW, Ethell DW, Ethell IM. Genetic removal of matrix metalloproteinase 9 rescues the symptoms of fragile X syndrome in a mouse model. J Neurosci. 2014 Jul 23;34(30):9867-79. doi: 10.1523/JNEUROSCI.1162-14.2014. |
| 27273096 | Background | Kashima R, Roy S, Ascano M, Martinez-Cerdeno V, Ariza-Torres J, Kim S, Louie J, Lu Y, Leyton P, Bloch KD, Kornberg TB, Hagerman PJ, Hagerman R, Lagna G, Hata A. Augmented noncanonical BMP type II receptor signaling mediates the synaptic abnormality of fragile X syndrome. Sci Signal. 2016 Jun 7;9(431):ra58. doi: 10.1126/scisignal.aaf6060. |
| 26282581 | Background | Wahlstrom-Helgren S, Klyachko VA. GABAB receptor-mediated feed-forward circuit dysfunction in the mouse model of fragile X syndrome. J Physiol. 2015 Nov 15;593(22):5009-24. doi: 10.1113/JP271190. Epub 2015 Oct 2. |
| 25466251 | Background | Gkogkas CG, Khoutorsky A, Cao R, Jafarnejad SM, Prager-Khoutorsky M, Giannakas N, Kaminari A, Fragkouli A, Nader K, Price TJ, Konicek BW, Graff JR, Tzinia AK, Lacaille JC, Sonenberg N. Pharmacogenetic inhibition of eIF4E-dependent Mmp9 mRNA translation reverses fragile X syndrome-like phenotypes. Cell Rep. 2014 Dec 11;9(5):1742-1755. doi: 10.1016/j.celrep.2014.10.064. Epub 2014 Nov 26. |
| 18760699 | Background | Wang H, Wu LJ, Kim SS, Lee FJ, Gong B, Toyoda H, Ren M, Shang YZ, Xu H, Liu F, Zhao MG, Zhuo M. FMRP acts as a key messenger for dopamine modulation in the forebrain. Neuron. 2008 Aug 28;59(4):634-47. doi: 10.1016/j.neuron.2008.06.027. |
| 15749243 | Background | Chandana SR, Behen ME, Juhasz C, Muzik O, Rothermel RD, Mangner TJ, Chakraborty PK, Chugani HT, Chugani DC. Significance of abnormalities in developmental trajectory and asymmetry of cortical serotonin synthesis in autism. Int J Dev Neurosci. 2005 Apr-May;23(2-3):171-82. doi: 10.1016/j.ijdevneu.2004.08.002. |
| 23731516 | Background | Boccuto L, Chen CF, Pittman AR, Skinner CD, McCartney HJ, Jones K, Bochner BR, Stevenson RE, Schwartz CE. Decreased tryptophan metabolism in patients with autism spectrum disorders. Mol Autism. 2013 Jun 3;4(1):16. doi: 10.1186/2040-2392-4-16. |
| 25606361 | Background | Hanson AC, Hagerman RJ. Serotonin dysregulation in Fragile X Syndrome: implications for treatment. Intractable Rare Dis Res. 2014 Nov;3(4):110-7. doi: 10.5582/irdr.2014.01027. |
| 9030614 | Background | Feng Y, Gutekunst CA, Eberhart DE, Yi H, Warren ST, Hersch SM. Fragile X mental retardation protein: nucleocytoplasmic shuttling and association with somatodendritic ribosomes. J Neurosci. 1997 Mar 1;17(5):1539-47. doi: 10.1523/JNEUROSCI.17-05-01539.1997. |
| 25446451 | Background | Gholizadeh S, Halder SK, Hampson DR. Expression of fragile X mental retardation protein in neurons and glia of the developing and adult mouse brain. Brain Res. 2015 Jan 30;1596:22-30. doi: 10.1016/j.brainres.2014.11.023. Epub 2014 Nov 20. |
| 26350240 | Background | Richter JD, Bassell GJ, Klann E. Dysregulation and restoration of translational homeostasis in fragile X syndrome. Nat Rev Neurosci. 2015 Oct;16(10):595-605. doi: 10.1038/nrn4001. Epub 2015 Sep 9. |
| 23584741 | Background | Darnell JC, Klann E. The translation of translational control by FMRP: therapeutic targets for FXS. Nat Neurosci. 2013 Nov;16(11):1530-6. doi: 10.1038/nn.3379. Epub 2013 Apr 14. |
| 14526171 | Background | Bakker CE, Oostra BA. Understanding fragile X syndrome: insights from animal models. Cytogenet Genome Res. 2003;100(1-4):111-23. doi: 10.1159/000072845. |
| 29653083 | Background | Banerjee A, Ifrim MF, Valdez AN, Raj N, Bassell GJ. Aberrant RNA translation in fragile X syndrome: From FMRP mechanisms to emerging therapeutic strategies. Brain Res. 2018 Aug 15;1693(Pt A):24-36. doi: 10.1016/j.brainres.2018.04.008. Epub 2018 Apr 10. |
| 27356167 | Background | Grigsby J. The fragile X mental retardation 1 gene (FMR1): historical perspective, phenotypes, mechanism, pathology, and epidemiology. Clin Neuropsychol. 2016 Aug;30(6):815-33. doi: 10.1080/13854046.2016.1184652. Epub 2016 Jun 29. |
| 20643379 | Background | Wang LW, Berry-Kravis E, Hagerman RJ. Fragile X: leading the way for targeted treatments in autism. Neurotherapeutics. 2010 Jul;7(3):264-74. doi: 10.1016/j.nurt.2010.05.005. |
| 28960184 | Background | Hagerman RJ, Berry-Kravis E, Hazlett HC, Bailey DB Jr, Moine H, Kooy RF, Tassone F, Gantois I, Sonenberg N, Mandel JL, Hagerman PJ. Fragile X syndrome. Nat Rev Dis Primers. 2017 Sep 29;3:17065. doi: 10.1038/nrdp.2017.65. |
| 28176767 | Background | Quartier A, Poquet H, Gilbert-Dussardier B, Rossi M, Casteleyn AS, Portes VD, Feger C, Nourisson E, Kuentz P, Redin C, Thevenon J, Mosca-Boidron AL, Callier P, Muller J, Lesca G, Huet F, Geoffroy V, El Chehadeh S, Jung M, Trojak B, Le Gras S, Lehalle D, Jost B, Maury S, Masurel A, Edery P, Thauvin-Robinet C, Gerard B, Mandel JL, Faivre L, Piton A. Intragenic FMR1 disease-causing variants: a significant mutational mechanism leading to Fragile-X syndrome. Eur J Hum Genet. 2017 Apr;25(4):423-431. doi: 10.1038/ejhg.2016.204. Epub 2017 Feb 8. |
| 24448548 | Background | Myrick LK, Nakamoto-Kinoshita M, Lindor NM, Kirmani S, Cheng X, Warren ST. Fragile X syndrome due to a missense mutation. Eur J Hum Genet. 2014 Oct;22(10):1185-9. doi: 10.1038/ejhg.2013.311. Epub 2014 Jan 22. |
| D025063 | Chromosome Disorders |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D030342 | Genetic Diseases, Inborn |
| D020271 | Heredodegenerative Disorders, Nervous System |
| D001523 | Mental Disorders |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |