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Zielen S, Crawford T, Benatti L, Magnani M, Kieslich M, Ryan M, Meyts I, Gulati S, Borgohain R, Yadav R, Pal P, Hegde A, Kumar S, Venkateswar A, Udani V, Vinayan KP, Nissenkorn A, Fazzi E, Leuzzi V, Stray-Pedersen A, Pietrucha B, Pascual SI, Gouider R, Koenig MK, Wu S, Perlman S, Thye D, Janhofer G, Horn B, Whitehouse W, Lederman H. Safety and efficacy of intra-erythrocyte dexamethasone sodium phosphate in children with ataxia telangiectasia (ATTeST): a multicentre, randomised, double-blind, placebo-controlled phase 3 trial. Lancet Neurol 2024; 23:871-882. [PMID: 39152028 DOI: 10.1016/s1474-4422(24)00220-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/20/2024] [Accepted: 05/10/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND Ataxia telangiectasia is a multisystem disorder with progressive neurodegeneration. Corticosteroids can improve neurological functioning in patients with the disorder but adrenal suppression and symptom recurrence on treatment discontinuation has limited their use, prompting the development of novel steroid delivery systems. The aim of the ATTeST study was to evaluate the efficacy and safety of intra-erythrocyte delivery of dexamethasone sodium phosphate compared with placebo in children with ataxia telangiectasia. METHODS This multicentre, randomised, double-blind, placebo-controlled, phase 3 trial was done at 22 centres in 12 countries (Australia, Belgium, Germany, India, Israel, Italy, Norway, Poland, Spain, Tunisia, the UK, and the USA). Eligible participants were children aged 6 years or older weighing more than 15 kg who met clinical criteria for ataxia telangiectasia but who had preserved autonomous gait. Participants were randomly assigned (1:1:1) to low-dose (approximately 5-10 mg), or high-dose (approximately 14-22 mg) intra-erythrocyte dexamethasone sodium phosphate, or placebo, using an independent interactive web response system, with minimisation for sex and age (6-9 years vs ≥10 years). Intravenous intra-erythrocyte dexamethasone sodium phosphate was administered once a month for 6 months. Participants, employees of the sponsor, investigators, all raters of efficacy endpoints, and central reviewers were masked to treatment assignment and dose allocations. The primary efficacy endpoint was change in the modified International Cooperative Ataxia Rating Scale (mICARS) from baseline to month 6, assessed in the modified intention-to-treat (mITT) population, which included all randomly assigned participants who received at least one dose of study drug and had at least one post-baseline efficacy assessment. This trial is registered with Clinicaltrials.gov (NCT02770807) and is complete. FINDINGS Between March 2, 2017, and May 13, 2021, 239 children were assessed for eligibility, of whom 176 were randomly assigned. One patient assigned to high-dose intra-erythrocyte dexamethasone sodium phosphate did not initiate treatment. 175 patients received at least one dose of treatment (59 patients received the low dose and 57 received the high dose of intra-erythrocyte dexamethasone sodium phosphate, and 59 received placebo). The mITT population comprised 164 participants (56 children in the low-dose group, 54 children in the high-dose group, and 54 in the placebo group). Compared with the placebo group, no differences were identified with regard to change in mICARS score from baseline to 6 months in the low-dose group (least squares mean difference -1·37 [95% CI -2·932 to 0·190]) or the high-dose group (-1·40 [-2·957 to 0·152]; p=0·0765). Adverse events were reported in 43 (73%) of 59 participants in the low-dose group, 47 (82%) of 57 participants in the high-dose group, and 43 (73%) of 59 participants in the placebo group. Serious adverse events were observed in six (10%) of 59 participants in the low-dose group, seven (12%) of 57 participants in the high-dose group, and seven (12%) of 59 participants in the placebo group. There were no reports of hyperglycaemia, hypertension, hirsutism, or Cushingoid appearance in any of the treatment groups, nor any treatment-related deaths. INTERPRETATION Although there were no safety concerns, the primary efficacy endpoint was not met, possibly related to delays in treatment reducing the number of participants who received treatment as outlined in the protocol, and potentially different treatment effects according to age. Studies of intra-erythrocyte delivery of dexamethasone sodium phosphate will continue in participants aged 6-9 years, on the basis of findings from subgroup analyses from this trial. FUNDING EryDel and Quince Therapeutics.
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Affiliation(s)
- Stefan Zielen
- Department of Pediatrics, Goethe University, Frankfurt, Germany
| | - Thomas Crawford
- Department of Neurology, The Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | | | - Mauro Magnani
- Department of Biomolecular Sciences, University of Urbino, Urbino, Italy
| | | | - Monique Ryan
- Department of Neurology, Royal Children's Hospital, Parkville, VIC, Australia
| | - Isabelle Meyts
- Department of Pediatrics, University Hospital Leuven, Leuven, Belgium
| | - Sheffali Gulati
- Department of Pediatrics, Centre of Excellence and Advanced Research for Childhood Neuro-developmental Disorders and Child Neurology Division, All India Institute of Medical Sciences, New Delhi, India
| | - Rupam Borgohain
- Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India
| | - Ravi Yadav
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Pramod Pal
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Anaita Hegde
- Department of Neurology, Jaslok Hospital and Medical Research Center, Mumbai, India
| | - Suresh Kumar
- Department of Neurology, Vijaya Hospital, Chennai, India
| | | | - Vrajesh Udani
- Pediatric Neurology, Hinduja National Hospital and Research Center, Mumbai, India
| | | | - Andreea Nissenkorn
- Children's Neurology Clinic, Sheba Medical Centre, Tel-Hashomer, School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Elisa Fazzi
- Child Neurology and Psychiatry Unit, Civil Hospital, and Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Vincenzo Leuzzi
- Department of Neurosciences and Mental Health, La Sapienza University, Rome, Italy
| | - Asbjørg Stray-Pedersen
- Norwegian National Unit for Newborn Screening, Division of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Barbara Pietrucha
- Department of Immunology, The Children's Memorial Health Institute, Warsaw, Poland
| | - Samuel I Pascual
- Department of Pediatric Neurology, Hospital Universitario La Paz Madrid, Madrid, Spain
| | - Riadh Gouider
- Neurology Department, Clinical Investigation Center "Neurosciences and Mental Health", Razi Hospital, Tunis, Tunisia
| | - Mary Kay Koenig
- Department of Pediatrics, Division of Child and Adolescent Neurology, UT Health, McGovern Medical School, Houston, TX, USA
| | - Steve Wu
- Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Susan Perlman
- Department of Neurology, Ataxia Center, and Huntington's Disease Center of Excellence, University of California, Los Angeles, CA, USA
| | - Dirk Thye
- Quince Therapeutics, South San Francisco, CA, USA
| | | | - Biljana Horn
- Quince Therapeutics, South San Francisco, CA, USA.
| | - William Whitehouse
- Paediatric Neurology, Nottingham Children's Hospital, Nottingham University Hospitals NHS Trust and School of Medicine University of Nottingham, Nottingham, UK
| | - Howard Lederman
- Division of Pediatric Allergy and Immunology, The Johns Hopkins Medical Institutions, Baltimore, MD, USA
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Sirocchi C, Biancucci F, Donati M, Bogliolo A, Magnani M, Menotta M, Montagna S. Exploring machine learning for untargeted metabolomics using molecular fingerprints. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 250:108163. [PMID: 38626559 DOI: 10.1016/j.cmpb.2024.108163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/15/2024] [Accepted: 04/03/2024] [Indexed: 04/18/2024]
Abstract
BACKGROUND Metabolomics, the study of substrates and products of cellular metabolism, offers valuable insights into an organism's state under specific conditions and has the potential to revolutionise preventive healthcare and pharmaceutical research. However, analysing large metabolomics datasets remains challenging, with available methods relying on limited and incompletely annotated metabolic pathways. METHODS This study, inspired by well-established methods in drug discovery, employs machine learning on metabolite fingerprints to explore the relationship of their structure with responses in experimental conditions beyond known pathways, shedding light on metabolic processes. It evaluates fingerprinting effectiveness in representing metabolites, addressing challenges like class imbalance, data sparsity, high dimensionality, duplicate structural encoding, and interpretable features. Feature importance analysis is then applied to reveal key chemical configurations affecting classification, identifying related metabolite groups. RESULTS The approach is tested on two datasets: one on Ataxia Telangiectasia and another on endothelial cells under low oxygen. Machine learning on molecular fingerprints predicts metabolite responses effectively, and feature importance analysis aligns with known metabolic pathways, unveiling new affected metabolite groups for further study. CONCLUSION In conclusion, the presented approach leverages the strengths of drug discovery to address critical issues in metabolomics research and aims to bridge the gap between these two disciplines. This work lays the foundation for future research in this direction, possibly exploring alternative structural encodings and machine learning models.
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Affiliation(s)
- Christel Sirocchi
- Department of Pure and Applied Sciences, University of Urbino, Piazza della Repubblica, 13, Urbino, 61029, Italy.
| | - Federica Biancucci
- Department of Biomolecular Sciences, University of Urbino, Via Saffi 2, Urbino, 61029, Italy
| | - Matteo Donati
- Department of Pure and Applied Sciences, University of Urbino, Piazza della Repubblica, 13, Urbino, 61029, Italy
| | - Alessandro Bogliolo
- Department of Pure and Applied Sciences, University of Urbino, Piazza della Repubblica, 13, Urbino, 61029, Italy
| | - Mauro Magnani
- Department of Biomolecular Sciences, University of Urbino, Via Saffi 2, Urbino, 61029, Italy
| | - Michele Menotta
- Department of Biomolecular Sciences, University of Urbino, Via Saffi 2, Urbino, 61029, Italy
| | - Sara Montagna
- Department of Pure and Applied Sciences, University of Urbino, Piazza della Repubblica, 13, Urbino, 61029, Italy
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