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Zhang Y, Huang W, Pan S, Shan Z, Zhou Y, Gan Q, Xiao Z. New management strategies for primary headache disorders: Insights from P4 medicine. Heliyon 2023; 9:e22285. [PMID: 38053857 PMCID: PMC10694333 DOI: 10.1016/j.heliyon.2023.e22285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/21/2023] [Accepted: 11/08/2023] [Indexed: 12/07/2023] Open
Abstract
Primary headache disorder is the main cause of headache attacks, leading to significant disability and impaired quality of life. This disorder is increasingly recognized as a heterogeneous condition with a complex network of genetic, environmental, and lifestyle factors. However, the timely diagnosis and effective treatment of these headaches remain challenging. Precision medicine is a potential strategy based on P4 (predictive, preventive, personalized, and participatory) medicine that may bring new insights for headache care. Recent machine learning advances and widely available molecular biology and imaging data have increased the usefulness of this medical strategy. Precision medicine emphasizes classifying headaches according to their risk factors, clinical presentation, and therapy responsiveness to provide individualized headache management. Furthermore, early preventive strategies, mainly utilizing predictive tools, are critical in reducing headache attacks and improving the quality of life of individuals with headaches. The current review comprehensively discusses the potential application value of P4 medicine in headache management.
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Affiliation(s)
| | | | - Songqing Pan
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Zhengming Shan
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Yanjie Zhou
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Quan Gan
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Zheman Xiao
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
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Boinpally R, Jakate A, Butler M, Periclou A. Atogepant and sumatriptan: no clinically relevant drug-drug interactions in a randomized, open-label, crossover trial. Pain Manag 2021; 12:499-508. [PMID: 34898273 DOI: 10.2217/pmt-2021-0073] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Aim: To evaluate pharmacokinetic interactions of atogepant with sumatriptan, an open-label, randomized, crossover study was conducted. Patients & methods: Thirty healthy adults received atogepant 60 mg, sumatriptan 100 mg, or coadministered drugs. Primary end point was geometric mean ratios (GMRs) and 90% CIs of interventions for area under the plasma concentration-time curve from time 0 to t (AUC0-t) or infinity (AUC0-∞) and peak plasma concentration (Cmax). Results: Atogepant GMRs for AUC0-t and AUC0-∞ versus with sumatriptan were within 90% CI 0.80-1.25, indicating no interaction; atogepant Cmax was reduced by 22% (GMR: 0.78; 90% CI: 0.69-0.89) with sumatriptan. Sumatriptan GMRs for AUC0-t, AUC0-∞ and Cmax versus with atogepant were within 90% CI 0.80-1.25. Conclusion: Atogepant with sumatriptan had no clinically relevant pharmacokinetic interactions.
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Ray JC, Allen P, Bacsi A, Bosco JJ, Chen L, Eller M, Kua H, Lim LL, Matharu MS, Monif M, Ruttledge M, Stark RJ, Hutton EJ. Inflammatory complications of CGRP monoclonal antibodies: a case series. J Headache Pain 2021; 22:121. [PMID: 34625019 PMCID: PMC8501661 DOI: 10.1186/s10194-021-01330-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 09/16/2021] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Calcitonin gene-related peptide (CGRP) is expressed throughout the body and is a known mediator of migraine, exerting this biological effect through activation of trigeminovascular, meningeal and associated neuronal pathways located in close proximity to the central nervous system. Monoclonal antibodies (mAb) targeting the CGRP pathway are an effective new preventive treatment for migraine, with a generally favourable adverse event profile. Pre-clinical evidence supports an anti-inflammatory/immunoregulatory role for CGRP in other organ systems, and therefore inhibition of the normal action of this peptide may promote a pro-inflammatory response. CASES We present a case series of eight patients with new or significantly worsened inflammatory pathology in close temporal association with the commencement of CGRP mAb therapy. CONCLUSION This case series provides novel insights on the potential molecular mechanisms and side-effects of CGRP antagonism in migraine and supports clinical vigilance in patient care going forward.
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Affiliation(s)
- Jason C Ray
- Department of Neurology, Alfred Hospital, Commercial Melbourne 3004, Melbourne, Australia. .,Department of Neurology, Austin Health, 145 Studley Road, 3084, Heidelberg, Germany. .,Department of Neuroscience, Monash University, Vic, Melbourne, 3004, Australia.
| | - Penelope Allen
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.,Department of Surgery (Ophthalmology), University of Melbourne, Parkville, Australia
| | - Ann Bacsi
- Integrated Specialist Medical Care, Sydney, Australia
| | - Julian J Bosco
- Department of Allergy, asthma and clinical immunology, Alfred Hospital, Commercial Road 3004, Melbourne, Australia.,Central Clinical School, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Luke Chen
- Department of Neuroscience, Monash University, Vic, Melbourne, 3004, Australia.,Otoneurology Diagnostic Unit, Alfred Hospital, Commercial Rd 3004, Melbourne, VIC, Australia
| | - Michael Eller
- Department of Neurology, Monash Medical Centre, Vic, Melbourne, Australia.,School of Clinical Sciences, Monash University, Vic, Melbourne, Australia
| | - Hock Kua
- Department of Pathology, Monash Medical Centre, Vic, Melbourne, Australia
| | - Lyndell L Lim
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.,Department of Surgery (Ophthalmology), University of Melbourne, Parkville, Australia
| | - Manjit S Matharu
- University College London (UCL) Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, Queen Square, University College London, Gower Street WC1E 6BT, London, UK
| | - Mastura Monif
- Department of Neuroscience, Monash University, Vic, Melbourne, 3004, Australia.,Department of Neurology, Royal Melbourne Hospital, Vic, Parkville, 3050, Australia.,MS and Neuroimmunology Department, Alfred Hospital, Vic, Melbourne, 3004, Australia
| | - Martin Ruttledge
- Consultant Neurologist & Headache Clinical Lead, Beaumont Hospital, Beaumont Road, Dublin, Ireland
| | - Richard J Stark
- Department of Neurology, Alfred Hospital, Commercial Melbourne 3004, Melbourne, Australia.,Department of Neuroscience, Monash University, Vic, Melbourne, 3004, Australia
| | - Elspeth J Hutton
- Department of Neurology, Alfred Hospital, Commercial Melbourne 3004, Melbourne, Australia.,Department of Neuroscience, Monash University, Vic, Melbourne, 3004, Australia
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Yue Y, He S. DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding. BMC Bioinformatics 2021; 22:418. [PMID: 34479477 PMCID: PMC8414716 DOI: 10.1186/s12859-021-04327-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 08/02/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Prediction of the drug-target interaction (DTI) is a critical step in the drug repurposing process, which can effectively reduce the following workload for experimental verification of potential drugs' properties. In recent studies, many machine-learning-based methods have been proposed to discover unknown interactions between drugs and protein targets. A recent trend is to use graph-based machine learning, e.g., graph embedding to extract features from drug-target networks and then predict new drug-target interactions. However, most of the graph embedding methods are not specifically designed for DTI predictions; thus, it is difficult for these methods to fully utilize the heterogeneous information of drugs and targets (e.g., the respective vertex features of drugs and targets and path-based interactive features between drugs and targets). RESULTS We propose a DTI prediction method DTI-HeNE (DTI based on Heterogeneous Network Embedding), which is specifically designed to cope with the bipartite DTI relations for generating high-quality embeddings of drug-target pairs. This method splits a heterogeneous DTI network into a bipartite DTI network, multiple drug homogeneous networks and target homogeneous networks, and extracts features from these sub-networks separately to better utilize the characteristics of bipartite DTI relations as well as the auxiliary similarity information related to drugs and targets. The features extracted from each sub-network are integrated using pathway information between these sub-networks to acquire new features, i.e., embedding vectors of drug-target pairs. Finally, these features are fed into a random forest (RF) model to predict novel DTIs. CONCLUSIONS Our experimental results show that, the proposed DTI network embedding method can learn higher-quality features of heterogeneous drug-target interaction networks for novel DTIs discovery.
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Affiliation(s)
- Yang Yue
- College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China
| | - Shan He
- Centre for Computational Biology, School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
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Ornello R, Ahmed F, Negro A, Miscio AM, Santoro A, Alpuente A, Russo A, Silvestro M, Cevoli S, Brunelli N, Vernieri F, Grazzi L, Baraldi C, Guerzoni S, Andreou AP, Lambru G, Frattale I, Kamm K, Ruscheweyh R, Russo M, Torelli P, Filatova E, Latysheva N, Gryglas-Dworak A, Straburzynski M, Butera C, Colombo B, Filippi M, Pozo-Rosich P, Martelletti P, Sacco S. Early Management of OnabotulinumtoxinA Treatment in Chronic Migraine: Insights from a Real-Life European Multicenter Study. Pain Ther 2021; 10:637-650. [PMID: 33778933 PMCID: PMC8119503 DOI: 10.1007/s40122-021-00253-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/06/2021] [Indexed: 12/13/2022] Open
Abstract
Introduction OnabotulinumtoxinA (BT-A) quarterly was the first treatment approved specifically for chronic migraine (CM). It is unclear whether three cycles are better than two to assess early BT-A response. Methods We performed a retrospective analysis on real-life prospectively collected data in 16 European headache centers. All the centers provided data on patients treated with BT-A for CM over the first three cycles of treatment. For each treatment cycle we defined patients as “good responders” if reporting a ≥ 50% reduction in monthly headache days compared with the three months before starting BT-A, “partial responders” if reporting a 30–49% reduction in monthly headache days, and “non-responders” if reporting a < 30% reduction in monthly headache days or stopping the treatment before the third cycle. Results We included 2879 patients. Seven hundred and eighty-four (64.6%) of the 1213 patients reporting a good response during the first and/or the second cycle had a good response during the third cycle; 309 (49.3%) of the 627 patients reporting a partial response (but no good response) during the first and/or the second cycle had a good response during the third cycle; only 65 (6.3%) of the 1039 patients who did not respond during both the first two cycles achieved a good response during the third cycle. Multivariate analyses showed that partial or good response during the first or the second cycle were independently associated with good response during the third cycle. Conclusions Our data suggest that patients with CM responding to BT-A during the first two cycles will likely benefit from the third cycle of treatment, while the probability that non-responders to the first two cycles start responding during the third cycle is low. These results can help guide the individual decision to stop or continue treatment after the second cycle in patients who have not responded to the first two cycles. Supplementary Information The online version contains supplementary material available at 10.1007/s40122-021-00253-0.
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Affiliation(s)
- Raffaele Ornello
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, Via Vetoio 1 Coppito, 67100, L'Aquila, Italy
| | - Fayyaz Ahmed
- Department of Neurosciences, Hull University Teaching Hospitals, Hull, UK
| | - Andrea Negro
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Psychology, Sant'Andrea Hospital, Sapienza University, 00189, Rome, RM, Italy
| | - Anna Maria Miscio
- Headache Center, Unit of Neurology, , Fondazione IRCCS "Casa Sollievo Della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Antonio Santoro
- Headache Center, Unit of Neurology, , Fondazione IRCCS "Casa Sollievo Della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Alicia Alpuente
- Headache Unit, Department of Neurology, Vall D'Hebron University, Barcelona, Spain.,Headache and Neurological Pain Research Group, Vall D'Hebron Institute of Research (VHIR), Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Antonio Russo
- Headache Center, Department of Medical, Surgical, Neurological, Metabolic, and Aging Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Marcello Silvestro
- Headache Center, Department of Medical, Surgical, Neurological, Metabolic, and Aging Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Sabina Cevoli
- IRCCS Istituto Delle Scienze Neurologiche Di Bologna, Bologna, Italy
| | - Nicoletta Brunelli
- Headache and Neurosonology Unit, Campus Bio-Medico University Hospital, Rome, Italy
| | - Fabrizio Vernieri
- Headache and Neurosonology Unit, Campus Bio-Medico University Hospital, Rome, Italy
| | - Licia Grazzi
- Headache Center, Neuroalgology Department, IRCCS Foundation "Carlo Besta" Neurological Institute, via Celoria, 11, 20133, Milan, Italy
| | - Carlo Baraldi
- Department of Biomedical, Metabolic and Neural Sciences, Medical Toxicology, Headache and Drug Abuse Research Center, University of Modena and Reggio Emilia, Modena, Italy
| | - Simona Guerzoni
- Department of Biomedical, Metabolic and Neural Sciences, Medical Toxicology, Headache and Drug Abuse Research Center, University of Modena and Reggio Emilia, Modena, Italy
| | - Anna P Andreou
- Headache Service, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Giorgio Lambru
- Headache Service, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Ilaria Frattale
- Child Neurology and Psychiatry Unit, Systems Medicine Department, Tor Vergata University, Rome, Italy
| | - Katharina Kamm
- Department of Neurology, Ludwig Maximilians University München, Munich, Germany
| | - Ruth Ruscheweyh
- Department of Neurology, Ludwig Maximilians University München, Munich, Germany
| | - Marco Russo
- Headache Center, Neurology Unit, Neuromotor and Rehabilitation Department, Azienda USL-IRCCS Di Reggio Emilia, Reggio Emilia, Italy
| | | | - Elena Filatova
- Department of Neurology, Institute for Postgraduate Education, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Nina Latysheva
- Department of Neurology, Institute for Postgraduate Education, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | | | - Marcin Straburzynski
- Headache Clinic, Terapia Neurologiczna Samodzielni, Maurycego Mochnackiego 10, 02-042, Warsaw, Poland
| | - Calogera Butera
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Bruno Colombo
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Patricia Pozo-Rosich
- Headache Unit, Department of Neurology, Vall D'Hebron University, Barcelona, Spain.,Headache and Neurological Pain Research Group, Vall D'Hebron Institute of Research (VHIR), Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain
| | - Paolo Martelletti
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Psychology, Sant'Andrea Hospital, Sapienza University, 00189, Rome, RM, Italy
| | - Simona Sacco
- Neuroscience Section, Department of Applied Clinical Sciences and Biotechnology, University of L'Aquila, Via Vetoio 1 Coppito, 67100, L'Aquila, Italy.
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