1
|
Jiang H, Zeng Y, He P, Zhu X, Zhu J, Gao Y. Aberrant resting-state voxel-mirrored homotopic connectivity in major depressive disorder with and without anxiety. J Affect Disord 2024:S0165-0327(24)01321-1. [PMID: 39173924 DOI: 10.1016/j.jad.2024.08.099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 08/17/2024] [Accepted: 08/19/2024] [Indexed: 08/24/2024]
Abstract
OBJECTIVE Prior researchers have identified distinct differences in functional connectivity neuroimaging characteristics among MDD patients. However, the auxiliary diagnosis and subtype differentiation roles of VMHC values in MDD patients have yet to be fully understood. We aim to explore the separating ability of VMHC values in patients with anxious MDD or with non-anxious MDD and HCs. METHODS We recruited 90 patients with anxious MDD, 69 patients with non-anxious MDD and 84 HCs. We collected a set of clinical variables included HAMD-17 scores, HAMA scores and rs-fMRI data. The data were analyzed combining difference analysis, SVM, correlation analysis and ROC analysis. RESULTS Relative to HCs, non-anxious MDD patients displayed significant lower VMHC values in the insula and PCG, and anxious MDD patients displayed a significant decrease in VMHC values in the cerebellum_crus2, STG, postCG, MFG and IFG. Compared with non-anxious MDD patients, the anxious MDD showed significant enhanced VMHC values in the PCG. The VMHC values in the insula and cerebellum_crus2 regions showed a better ability to discriminate HCs from patients with non-anxious MDD or with anxious MDD. The VMHC values in PCG showed a better ability to discriminate patients with anxious MDD and non-anxious MDD patients. CONCLUSION The VMHC values in the insula and cerebellum_crus2 regions could be served as imaging markers to differentiate HCs from patients with non-anxious MDD or with anxious MDD respectively. And the VMHC values in the PCG could be used to discriminate patients with anxious MDD from the non-anxious MDD patients.
Collapse
Affiliation(s)
- Hongxiang Jiang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, China
| | - YanPing Zeng
- Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Peidong He
- Department of Neurosurgery, Renmin Hospital of Wuhan University, China
| | - Xiwei Zhu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, China
| | - Jiangrui Zhu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, China
| | - Yujun Gao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China; Department of Psychiatry, Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan 430063, China; Yichang City Clinical Research Center for Mental Disorders, China.
| |
Collapse
|
2
|
Savva KV, MacKenzie A, Coombes RC, Zhifang NM, Hanna BG, Peters CJ. An original study assessing biomarker success rate in breast cancer recurrence biomarker research. BMC Med 2024; 22:307. [PMID: 39075505 PMCID: PMC11288100 DOI: 10.1186/s12916-024-03460-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 05/30/2024] [Indexed: 07/31/2024] Open
Abstract
BACKGROUND Breast cancer is the second most common cause of cancer mortality worldwide. Biomarker discovery has led to advances in understanding molecular phenotyping and thus has a great potential for precision management of this diverse disease. Despite increased interest in the biomarker field, only a small number of breast cancer biomarkers are known to be clinically useful. Therefore, it is very important to characterise the success rate of biomarkers in this field and study potential reasons for the deficit. We therefore aim to achieve quantitative characterisation of the biomarker translation gap by tracking the progress of prognostic biomarkers associated with breast cancer recurrence. METHODS An electronic systematic search was conducted in Medline and Embase databases using keywords and mesh headings associated with breast cancer recurrence biomarkers (1940-2023). Abstracts were screened, and primary clinical studies involving breast cancer recurrence biomarkers were selected. Upon identification of relevant literature, we extracted the biomarker name, date of publication and journal name. All analyses were performed using IBM SPSS Statistics and GraphPad prism (La Jolla, California, USA). RESULTS A total of 19,195 articles were identified, from which 4597 articles reported breast cancer biomarkers associated with recurrence. Upon data extraction, 2437 individual biomarkers were identified. Out of these, 23 are currently recommended for clinical use, which corresponds to only 0.94% of all discovered biomarkers. CONCLUSIONS This study characterised for the first time the translational gap in the field of recurrence-related breast cancer biomarkers, indicating that only 0.94% of identified biomarkers were recommended for clinical use. This denotes an evident barrier in the biomarker research field and emphasises the need for a clearer route from biomarker discovery through to implementation.
Collapse
Affiliation(s)
- K-V Savva
- Department of Surgery and Cancer, Imperial College London, 10th Floor QEQM Wing, St Mary's Hospital, London, W2 1NY, UK.
| | - A MacKenzie
- Division of Surgery, Department of Surgery and Cancer, Imperial College London, London, UK
| | - R C Coombes
- Department of Surgery and Cancer, Imperial College London, 10th Floor QEQM Wing, St Mary's Hospital, London, W2 1NY, UK
| | - N M Zhifang
- Division of Surgery, Department of Surgery and Cancer, Imperial College London, London, UK
| | - B G Hanna
- Department of Surgery and Cancer, Imperial College London, 10th Floor QEQM Wing, St Mary's Hospital, London, W2 1NY, UK
| | - C J Peters
- Department of Surgery and Cancer, Imperial College London, 10th Floor QEQM Wing, St Mary's Hospital, London, W2 1NY, UK
| |
Collapse
|
3
|
Cortese I, Norato G, Harrington PR, Usher T, Mainardi I, Martin-Blondel G, Cinque P, Major EO, Sheikh V. Biomarkers for progressive multifocal leukoencephalopathy: emerging data for use of JC virus DNA copy number in clinical trials. Lancet Neurol 2024; 23:534-544. [PMID: 38631769 DOI: 10.1016/s1474-4422(24)00099-1] [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: 09/28/2023] [Revised: 03/01/2024] [Accepted: 03/05/2024] [Indexed: 04/19/2024]
Abstract
Progressive multifocal leukoencephalopathy is a rare but devastating demyelinating disease caused by the JC virus (JCV), for which no therapeutics are approved. To make progress towards addressing this unmet medical need, innovations in clinical trial design are needed. Quantitative JCV DNA in CSF has the potential to serve as a valuable biomarker of progressive multifocal leukoencephalopathy disease and treatment response in clinical trials to expedite therapeutic development, as do neuroimaging and other fluid biomarkers such as neurofilament light chain. Specifically, JCV DNA in CSF could be used in clinical trials as an entry criterion, stratification factor, or predictor of clinical outcomes. Insights from the investigation of candidate biomarkers for progressive multifocal leukoencephalopathy might inform approaches to biomarker development for other rare diseases.
Collapse
Affiliation(s)
- Irene Cortese
- Experimental Immunotherapeutics Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
| | - Gina Norato
- Clinical Trials Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Patrick R Harrington
- Division of Antivirals, Office of Infectious Diseases, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Therri Usher
- Division of Biometrics IV, Office of Biostatistics, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Ilaria Mainardi
- Unit of Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Guillaume Martin-Blondel
- Service des Maladies Infectieuses et Tropicales, Centre Hospitalier Universitaire de Toulouse, Toulouse, France; Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity), INSERM UMR1291-CNRS UMR5051, Université Toulouse III, Toulouse, France
| | - Paola Cinque
- Unit of Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Eugene O Major
- Laboratory of Molecular Medicine and Neuroscience, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Virginia Sheikh
- Division of Antivirals, Office of Infectious Diseases, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| |
Collapse
|
4
|
Han Y, Yan H, Shan X, Li H, Liu F, Xie G, Li P, Guo W. Enhanced interhemispheric resting-state functional connectivity of the visual network is an early treatment response of paroxetine in patients with panic disorder. Eur Arch Psychiatry Clin Neurosci 2024; 274:497-506. [PMID: 37253876 PMCID: PMC10228425 DOI: 10.1007/s00406-023-01627-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 05/22/2023] [Indexed: 06/01/2023]
Abstract
This study aimed to detect alterations in interhemispheric interactions in patients with panic disorder (PD), determine whether such alterations could serve as biomarkers for the diagnosis and prediction of therapeutic outcomes, and map dynamic changes in interhemispheric interactions in patients with PD after treatment. Fifty-four patients with PD and 54 healthy controls (HCs) were enrolled in this study. All participants underwent clinical assessment and a resting-state functional magnetic resonance imaging scan at (i) baseline and (ii) after paroxetine treatment for 4 weeks. A voxel-mirrored homotopic connectivity (VMHC) indicator, support vector machine (SVM), and support vector regression (SVR) were used in this study. Patients with PD showed reduced VMHC in the fusiform, middle temporal/occipital, and postcentral/precentral gyri, relative to those of HCs. After treatment, the patients exhibited enhanced VMHC in the lingual gyrus, relative to the baseline data. The VMHC of the fusiform and postcentral/precentral gyri contributed most to the classification (accuracy = 87.04%). The predicted changes were accessed from the SVR using the aberrant VMHC as features. Positive correlations (p < 0.001) were indicated between the actual and predicted changes in the severity of anxiety. These findings suggest that impaired interhemispheric coordination in the cognitive-sensory network characterized PD and that VMHC can serve as biomarkers and predictors of the efficiency of PD treatment. Enhanced VMHC in the lingual gyrus of patients with PD after treatment implied that pharmacotherapy recruited the visual network in the early stages.
Collapse
Affiliation(s)
- Yiding Han
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Guojun Xie
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, 161006, Heilongjiang, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
| |
Collapse
|
5
|
Rahimpoor R, Jalilian H, Mohammadi H, Rahmani A. Biological exposure indices of occupational exposure to benzene: A systematic review. Heliyon 2023; 9:e21576. [PMID: 38027568 PMCID: PMC10660043 DOI: 10.1016/j.heliyon.2023.e21576] [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: 01/16/2023] [Revised: 10/19/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
The current study aimed to systematically review the studies concerning the biological monitoring of benzene exposure in occupational settings. A systematic literature review was conducted in Scopus, EMBASE, Web of Science, and Medline from 1985 through July 2021. We included peer-reviewed original articles that investigated the association between occupational exposure to benzene and biological monitoring. We identified 4786 unique citations, of which 64 cross-sectional, one case-control, and one cohort study met our inclusion criteria. The most studied biomarkers were urinary trans-trans muconic acid, S- phenyl mercapturic acid, and urinary benzene, respectively. We found the airborne concentration of benzene as a key indicator for choosing a suitable biomarker. We suggest considering urinary benzene at low (0.5-5.0 TLV), urinary SPMA and TTMA at medium (5.0-25 and 25-50 TLV, respectively), and urinary phenol and hydroquinone and catechol at very high concentrations (500 and 1000 TLV ≤, respectively). Genetic polymorphism of glutathione S-transferase and oral intake of sorbic acid have confounding effects on the level of U-SPMA and U-TTMA, respectively. The airborne concentration, smoking habit, oral consumption of sorbic acid, and genetic polymorphism of workers should be considered in order to choose the appropriate indicator for biological monitoring of benzene exposure.
Collapse
Affiliation(s)
- Razzagh Rahimpoor
- Department of Occupational Health and Safety, Research Center for Health Sciences, School of Health, Larestan University of Medical Sciences, Larestan, Iran
| | - Hamed Jalilian
- School of Architecture, Planning and Environmental Policy, University College Dublin, Dublin, Ireland
| | - Heidar Mohammadi
- Department of Occupational Health and Safety, Research Center for Health Sciences, School of Health, Larestan University of Medical Sciences, Larestan, Iran
| | - Abdulrasoul Rahmani
- Department of Occupational Health and Safety, Research Center for Health Sciences, School of Health, Larestan University of Medical Sciences, Larestan, Iran
| |
Collapse
|
6
|
Caicedo HH, Darrow JJ, Caicedo JC, Pentland A. Prioritizing Early Disease Intervention. Ther Innov Regul Sci 2023; 57:1148-1152. [PMID: 37668879 DOI: 10.1007/s43441-023-00569-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 07/24/2023] [Indexed: 09/06/2023]
Abstract
Scholars and practitioners have described how investing in health care earlier rather than later can be beneficial, from how "biomarkers" offer promise for early disease detection to healthcare system "incentives" that can promote early preventive medicine. Work by health economists has also made clear that the "health capital" of an individual depreciates over time in the absence of investments in health. Yet, our current policy makers and healthcare system continue prioritizing care of late-stage complex symptomatic illness, often when cure is impossible and disease reversal is improbable, thus exacerbating public health burdens. Critically missing are predicates to address this challenge include the following: first, identifying and validating the specific set of presymptomatic biomarkers that will inform the most appropriate intervention timing for those medical conditions amenable to early intervention; second, shifting fundamental health economic incentives to influence the appropriate disease prevention market; and third, formulating and executing a viable economic framework of reimbursement. We examine these predicates and propose actionable policy recommendations that may help align stakeholder interests to improve public health.
Collapse
Affiliation(s)
- H Hugo Caicedo
- Connection Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Corporate Sustainability and Innovation, Harvard University, Cambridge, MA, USA.
| | - Jonathan J Darrow
- Program On Regulation, Therapeutics, and Law, Harvard Medical School, Boston, MA, USA
| | | | - Alex Pentland
- Connection Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| |
Collapse
|
7
|
Li Y, Srinath A, Alcazar-Felix RJ, Hage S, Bindal A, Lightle R, Shenkar R, Shi C, Girard R, Awad IA. Inflammatory Mechanisms in a Neurovascular Disease: Cerebral Cavernous Malformation. Brain Sci 2023; 13:1336. [PMID: 37759937 PMCID: PMC10526329 DOI: 10.3390/brainsci13091336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/06/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023] Open
Abstract
Cerebral cavernous malformation (CCM) is a common cerebrovascular malformation causing intracranial hemorrhage, seizures, and focal neurologic deficits. A unique CCM lesional inflammatory microenvironment has been shown to influence the clinical course of the disease. This review addresses the inflammatory cell infiltrate in the CCM lesion and the role of a defined antigen-driven immune response in pathogenicity. We summarize immune mechanisms associated with the loss of the CCM gene and disease progression, including the potential role of immunothrombosis. We also review evidence of circulating inflammatory biomarkers associated with CCM disease and its clinical activity. We articulate future directions for this research, including the role of individual cell type contributions to the immune response in CCM, single cell transcriptomics of inflammatory cells, biomarker development, and therapeutic implications. The concepts are applicable for developing diagnostic and treatment strategies for CCM and for studying other neurovascular diseases.
Collapse
Affiliation(s)
- Ying Li
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin 150001, China; (Y.L.); (C.S.)
- Neurovascular Surgery Program, Department of Neurological Surgery, The University of Chicago, Chicago, IL 60637, USA; (A.S.); (R.J.A.-F.); (S.H.); (A.B.); (R.L.); (R.S.); (R.G.)
| | - Abhinav Srinath
- Neurovascular Surgery Program, Department of Neurological Surgery, The University of Chicago, Chicago, IL 60637, USA; (A.S.); (R.J.A.-F.); (S.H.); (A.B.); (R.L.); (R.S.); (R.G.)
| | - Roberto J. Alcazar-Felix
- Neurovascular Surgery Program, Department of Neurological Surgery, The University of Chicago, Chicago, IL 60637, USA; (A.S.); (R.J.A.-F.); (S.H.); (A.B.); (R.L.); (R.S.); (R.G.)
| | - Stephanie Hage
- Neurovascular Surgery Program, Department of Neurological Surgery, The University of Chicago, Chicago, IL 60637, USA; (A.S.); (R.J.A.-F.); (S.H.); (A.B.); (R.L.); (R.S.); (R.G.)
| | - Akash Bindal
- Neurovascular Surgery Program, Department of Neurological Surgery, The University of Chicago, Chicago, IL 60637, USA; (A.S.); (R.J.A.-F.); (S.H.); (A.B.); (R.L.); (R.S.); (R.G.)
| | - Rhonda Lightle
- Neurovascular Surgery Program, Department of Neurological Surgery, The University of Chicago, Chicago, IL 60637, USA; (A.S.); (R.J.A.-F.); (S.H.); (A.B.); (R.L.); (R.S.); (R.G.)
| | - Robert Shenkar
- Neurovascular Surgery Program, Department of Neurological Surgery, The University of Chicago, Chicago, IL 60637, USA; (A.S.); (R.J.A.-F.); (S.H.); (A.B.); (R.L.); (R.S.); (R.G.)
| | - Changbin Shi
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin 150001, China; (Y.L.); (C.S.)
| | - Romuald Girard
- Neurovascular Surgery Program, Department of Neurological Surgery, The University of Chicago, Chicago, IL 60637, USA; (A.S.); (R.J.A.-F.); (S.H.); (A.B.); (R.L.); (R.S.); (R.G.)
| | - Issam A. Awad
- Neurovascular Surgery Program, Department of Neurological Surgery, The University of Chicago, Chicago, IL 60637, USA; (A.S.); (R.J.A.-F.); (S.H.); (A.B.); (R.L.); (R.S.); (R.G.)
- Department of Neurological Surgery, University of Chicago Medicine, 5841 S Maryland, MC3026/Neurosurgery J341, Chicago, IL 60637, USA
| |
Collapse
|
8
|
Romanos SG, Srinath A, Li Y, Xie B, Chen C, Li Y, Moore T, Bi D, Sone JY, Lightle R, Hobson N, Zhang D, Koskimäki J, Shen L, McCurdy S, Lai CC, Stadnik A, Piedad K, Carrión-Penagos J, Shkoukani A, Snellings D, Shenkar R, Sulakhe D, Ji Y, Lopez-Ramirez MA, Kahn ML, Marchuk DA, Ginsberg MH, Girard R, Awad IA. Circulating Plasma miRNA Homologs in Mice and Humans Reflect Familial Cerebral Cavernous Malformation Disease. Transl Stroke Res 2023; 14:513-529. [PMID: 35715588 PMCID: PMC9758276 DOI: 10.1007/s12975-022-01050-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 06/02/2022] [Accepted: 06/06/2022] [Indexed: 01/16/2023]
Abstract
Patients with familial cerebral cavernous malformation (CCM) inherit germline loss of function mutations and are susceptible to progressive development of brain lesions and neurological sequelae during their lifetime. To date, no homologous circulating molecules have been identified that can reflect the presence of germ line pathogenetic CCM mutations, either in animal models or patients. We hypothesize that homologous differentially expressed (DE) plasma miRNAs can reflect the CCM germline mutation in preclinical murine models and patients. Herein, homologous DE plasma miRNAs with mechanistic putative gene targets within the transcriptome of preclinical and human CCM lesions were identified. Several of these gene targets were additionally found to be associated with CCM-enriched pathways identified using the Kyoto Encyclopedia of Genes and Genomes. DE miRNAs were also identified in familial-CCM patients who developed new brain lesions within the year following blood sample collection. The miRNome results were then validated in an independent cohort of human subjects with real-time-qPCR quantification, a technique facilitating plasma assays. Finally, a Bayesian-informed machine learning approach showed that a combination of plasma levels of miRNAs and circulating proteins improves the association with familial-CCM disease in human subjects to 95% accuracy. These findings act as an important proof of concept for the future development of translatable circulating biomarkers to be tested in preclinical studies and human trials aimed at monitoring and restoring gene function in CCM and other diseases.
Collapse
Affiliation(s)
- Sharbel G Romanos
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Abhinav Srinath
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Ying Li
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, China
| | - Bingqing Xie
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Chang Chen
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
- Bioinformatics Core, Biological Sciences Division, University of Chicago, Chicago, IL, USA
| | - Yan Li
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
- Bioinformatics Core, Biological Sciences Division, University of Chicago, Chicago, IL, USA
| | - Thomas Moore
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Dehua Bi
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Je Yeong Sone
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Rhonda Lightle
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Nick Hobson
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Dongdong Zhang
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Janne Koskimäki
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Le Shen
- Department of Surgery, The University of Chicago, Chicago, IL, USA
| | - Sara McCurdy
- Department of Medicine, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Catherine Chinhchu Lai
- Department of Medicine, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Agnieszka Stadnik
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Kristina Piedad
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Julián Carrión-Penagos
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Abdallah Shkoukani
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Daniel Snellings
- Molecular Genetics and Microbiology Department, Duke University Medical Center, Durham, NC, USA
| | - Robert Shenkar
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Dinanath Sulakhe
- Bioinformatics Core, Biological Sciences Division, University of Chicago, Chicago, IL, USA
| | - Yuan Ji
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Miguel A Lopez-Ramirez
- Department of Medicine, University of California San Diego, La Jolla, San Diego, CA, USA
- Department of Pharmacology, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Mark L Kahn
- Department of Medicine and Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Douglas A Marchuk
- Molecular Genetics and Microbiology Department, Duke University Medical Center, Durham, NC, USA
| | - Mark H Ginsberg
- Department of Medicine, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Romuald Girard
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA
| | - Issam A Awad
- Department of Neurological Surgery, Neurovascular Surgery Program, University of Chicago Medicine and Biological Sciences, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL, 60637, USA.
| |
Collapse
|
9
|
Haller N, Behringer M, Reichel T, Wahl P, Simon P, Krüger K, Zimmer P, Stöggl T. Blood-Based Biomarkers for Managing Workload in Athletes: Considerations and Recommendations for Evidence-Based Use of Established Biomarkers. Sports Med 2023; 53:1315-1333. [PMID: 37204619 PMCID: PMC10197055 DOI: 10.1007/s40279-023-01836-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2023] [Indexed: 05/20/2023]
Abstract
Blood-based biomarkers can provide an objective individualized measure of training load, recovery, and health status in order to reduce injury risk and maximize performance. Despite enormous potentials, especially owing to currently evolving technology, such as point-of-care testing, and advantages, in terms of objectivity and non-interference with the training process, there are several pitfalls in the use and interpretation of biomarkers. Confounding variables such as preanalytical conditions, inter-individual differences, or an individual chronic workload can lead to variance in resting levels. In addition, statistical considerations such as the detection of meaningful minimal changes are often neglected. The lack of generally applicable and individual reference levels further complicates the interpretation of level changes and thus load management via biomarkers. Here, the potentials and pitfalls of blood-based biomarkers are described, followed by an overview of established biomarkers currently used to support workload management. Creatine kinase is discussed in terms of its evidence for workload management to illustrate the limited applicability of established markers for workload management to date. We conclude with recommendations for best practices in the use and interpretation of biomarkers in a sport-specific context.
Collapse
Affiliation(s)
- Nils Haller
- Department of Sports Medicine, Rehabilitation and Disease Prevention, Johannes Gutenberg University of Mainz, Mainz, Germany
- Department of Sport and Exercise Science, University of Salzburg, Schlossallee 49, Salzburg, 5400 Hallein-Rif, Austria
| | - Michael Behringer
- Department of Sports Sciences, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Thomas Reichel
- Department of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus-Liebig-University Gießen, Gießen, Germany
| | - Patrick Wahl
- Department of Exercise Physiology, German Sport University Cologne, Cologne, Germany
| | - Perikles Simon
- Department of Sports Medicine, Rehabilitation and Disease Prevention, Johannes Gutenberg University of Mainz, Mainz, Germany
| | - Karsten Krüger
- Department of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus-Liebig-University Gießen, Gießen, Germany
| | - Philipp Zimmer
- Division of Performance and Health (Sports Medicine), Institute for Sport and Sport Science, TU Dortmund University, Dortmund, Germany
| | - Thomas Stöggl
- Department of Sport and Exercise Science, University of Salzburg, Schlossallee 49, Salzburg, 5400 Hallein-Rif, Austria.
- Red Bull Athlete Performance Center, Salzburg, Austria.
| |
Collapse
|
10
|
Mohamed ASR, Abusaif A, He R, Wahid KA, Salama V, Youssef S, McDonald BA, Naser M, Ding Y, Salzillo TC, AboBakr MA, Wang J, Lai SY, Fuller CD. Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study. Radiother Oncol 2023; 183:109641. [PMID: 36990394 PMCID: PMC10848569 DOI: 10.1016/j.radonc.2023.109641] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 03/17/2023] [Accepted: 03/21/2023] [Indexed: 03/29/2023]
Abstract
PURPOSE To determine DWI parameters associated with tumor response and oncologic outcomes in head and neck (HNC) patients treated with radiotherapy (RT). METHODS HNC patients in a prospective study were included. Patients had MRIs pre-, mid-, and post-RT completion. We used T2-weighted sequences for tumor segmentation which were co-registered to respective DWIs for extraction of apparent diffusion coefficient (ADC) measurements. Treatment response was assessed at mid- and post-RT and was defined as: complete response (CR) vs. non-complete response (non-CR). The Mann-Whitney U test was used to compare ADC between CR and non-CR. Recursive partitioning analysis (RPA) was performed to identify ADC threshold associated with relapse. Cox proportional hazards models were done for clinical vs. clinical and imaging parameters and internal validation was done using bootstrapping technique. RESULTS Eighty-one patients were included. Median follow-up was 31 months. For patients with post-RT CR, there was a significant increase in mean ADC at mid-RT compared to baseline ((1.8 ± 0.29) × 10-3 mm2/s vs. (1.37 ± 0.22) × 10-3 mm2/s, p < 0.0001), while patients with non-CR had no significant increase (p > 0.05). RPA identified GTV-P delta (Δ)ADCmean < 7% at mid-RT as the most significant parameter associated with worse LC and RFS (p = 0.01). Uni- and multi-variable analysis showed that GTV-P ΔADCmean at mid-RT ≥ 7% was significantly associated with better LC and RFS. The addition of ΔADCmean significantly improved the c-indices of LC and RFS models compared with standard clinical variables (0.85 vs. 0.77 and 0.74 vs. 0.68 for LC and RFS, respectively, p < 0.0001 for both). CONCLUSION ΔADCmean at mid-RT is a strong predictor of oncologic outcomes in HNC. Patients with no significant increase of primary tumor ADC at mid-RT are at high risk of disease relapse.
Collapse
Affiliation(s)
- Abdallah S R Mohamed
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Abdelrahman Abusaif
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Renjie He
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Kareem A Wahid
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Vivian Salama
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Sara Youssef
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Brigid A McDonald
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Mohamed Naser
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Yao Ding
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Travis C Salzillo
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Moamen A AboBakr
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Jihong Wang
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen Y Lai
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA; Department of Head and Neck Surgery, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Clifton D Fuller
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.
| |
Collapse
|
11
|
Chebib FT, Perrone RD. Drug Development in Autosomal Dominant Polycystic Kidney Disease: Opportunities and Challenges. ADVANCES IN KIDNEY DISEASE AND HEALTH 2023; 30:261-284. [PMID: 37088528 DOI: 10.1053/j.akdh.2023.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/20/2022] [Accepted: 01/06/2023] [Indexed: 04/25/2023]
Abstract
Autosomal dominant polycystic kidney disease (ADPKD) is a hereditary disorder characterized by relentless growth of innumerable renal cysts bilaterally, associated with decline in glomerular filtration rate over the course of decades. The burden of ADPKD and its treatment is associated with a significant economic and societal cost. Despite several clinical studies conducted over the past decade, only one treatment has been approved by regulatory agencies to slow disease progression in ADPKD. Elucidating feasible endpoints and clear regulatory pathway may stimulate interest in developing and translating novel therapeutics. This review summarizes the recent progress, challenges, and opportunities in drug development for ADPKD. We discuss the traditional and accelerated regulatory approval pathways, the various clinical trials endpoints, and biomarkers in ADPKD. Furthermore, we propose strategies that could optimize the clinical trial design in ADPKD. Finally, we owe it to our ADPKD patient community to strive for international collaborative studies geared toward discovery and validation of surrogate endpoints and to rally for funded infrastructure that would allow phase 3 master protocols in ADPKD. These advances will serve to derisk and potentially accelerate the development of therapies and eventually bring hope to patients and families who endure through this devastating disease.
Collapse
Affiliation(s)
- Fouad T Chebib
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Jacksonville, FL.
| | - Ronald D Perrone
- Division of Nephrology, Department of Medicine, Tufts Medical Center and Tufts University School of Medicine, Boston, MA.
| |
Collapse
|
12
|
Rasmussen DGK, Anstee QM, Torstenson R, Golding B, Patterson SD, Brass C, Thakker P, Harrison S, Billin AN, Schuppan D, Dufour JF, Andersson A, Wigley I, Shumbayawonda E, Dennis A, Schoelch C, Ratziu V, Yunis C, Bossuyt P, Karsdal MA. NAFLD and NASH biomarker qualification in the LITMUS consortium - Lessons learned. J Hepatol 2023; 78:852-865. [PMID: 36526000 DOI: 10.1016/j.jhep.2022.11.028] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/24/2022] [Accepted: 11/25/2022] [Indexed: 12/15/2022]
Abstract
Biomarkers have the potential to accelerate drug development, as early indicators of improved clinical response, to improve patient safety, and for personalised medicine. However, few have been approved through the biomarker qualification pathways of the regulatory agencies. This paper outlines how biomarkers can accelerate drug development, and reviews the lessons learned by the EU IMI2-funded LITMUS consortium, which has had several interactions with regulatory agencies in both the US and EU regarding biomarker qualification in patients with non-alcoholic fatty liver disease and non-alcoholic steatohepatitis. Sharing knowledge of such interactions with the scientific community is of paramount importance to increase the chances of qualification of relevant biomarkers that may accelerate drug development, and thereby help patients, across disease indications. A qualified biomarker enables a decision to be made that all understand and support in a common framework.
Collapse
Affiliation(s)
| | - Quentin M Anstee
- Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, United Kingdom; Newcastle NIHR Biomedical Research Centre, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom
| | - Richard Torstenson
- Astrazeneca, Regulatory Affairs, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, Gothenburg, Sweden
| | - Bruno Golding
- Roche Diagnostics International, Rotkreuz, Switzerland
| | | | | | - Paresh Thakker
- Takeda Development Center Americas, Inc., 95 Hayden Avenue, Lexington, MA 02421, USA
| | - Stephen Harrison
- Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | | | - Detlef Schuppan
- Institute of Translational Immunology and Research Center for Immune Therapy, Mainz University Medical Center, 55131, Mainz, Germany; Division of Gastroenterology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA
| | | | | | | | | | | | | | - Vlad Ratziu
- Sorbonne University, Paris, France; Pitié-Salpêtrière Hospital, Paris, France
| | - Carla Yunis
- Global Product Development, Internal Medicine and Hospital, Pfizer Inc, Florida, USA
| | - Patrick Bossuyt
- Department of Epidemiology and Data Science, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | | |
Collapse
|
13
|
Bernhardt AM, Tiedt S, Teupser D, Dichgans M, Meyer B, Gempt J, Kuhn PH, Simons M, Palleis C, Weidinger E, Nübling G, Holdt L, Hönikl L, Gasperi C, Giesbertz P, Müller SA, Breimann S, Lichtenthaler SF, Kuster B, Mann M, Imhof A, Barth T, Hauck SM, Zetterberg H, Otto M, Weichert W, Hemmer B, Levin J. A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases. EBioMedicine 2023; 89:104456. [PMID: 36745974 PMCID: PMC9931915 DOI: 10.1016/j.ebiom.2023.104456] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 12/22/2022] [Accepted: 01/17/2023] [Indexed: 02/07/2023] Open
Abstract
A major evolution from purely clinical diagnoses to biomarker supported clinical diagnosing has been occurring over the past years in neurology. High-throughput methods, such as next-generation sequencing and mass spectrometry-based proteomics along with improved neuroimaging methods, are accelerating this development. This calls for a consensus framework that is broadly applicable and provides a spot-on overview of the clinical validity of novel biomarkers. We propose a harmonized terminology and a uniform concept that stratifies biomarkers according to clinical context of use and evidence levels, adapted from existing frameworks in oncology with a strong focus on (epi)genetic markers and treatment context. We demonstrate that this framework allows for a consistent assessment of clinical validity across disease entities and that sufficient evidence for many clinical applications of protein biomarkers is lacking. Our framework may help to identify promising biomarker candidates and classify their applications by clinical context, aiming for routine clinical use of (protein) biomarkers in neurology.
Collapse
Affiliation(s)
- Alexander M Bernhardt
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany; German Center for Neurodegenerative Diseases, Site Munich, Germany
| | - Steffen Tiedt
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Daniel Teupser
- Institute of Laboratory Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Martin Dichgans
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Bernhard Meyer
- Department of Neurosurgery, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Jens Gempt
- Department of Neurosurgery, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Peer-Hendrik Kuhn
- Institute of Pathology, Technische Universität München, Munich, Germany
| | - Mikael Simons
- German Center for Neurodegenerative Diseases, Site Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany; Institute of Neuronal Cell Biology, Technical University Munich, 80802, Munich, Germany
| | - Carla Palleis
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany; German Center for Neurodegenerative Diseases, Site Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Endy Weidinger
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany; German Center for Neurodegenerative Diseases, Site Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Georg Nübling
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany; German Center for Neurodegenerative Diseases, Site Munich, Germany
| | - Lesca Holdt
- Institute of Laboratory Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Lisa Hönikl
- Department of Neurosurgery, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christiane Gasperi
- Department of Neurology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Pieter Giesbertz
- German Center for Neurodegenerative Diseases, Site Munich, Germany; Neuroproteomics, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Stephan A Müller
- German Center for Neurodegenerative Diseases, Site Munich, Germany; Neuroproteomics, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Stephan Breimann
- German Center for Neurodegenerative Diseases, Site Munich, Germany; Neuroproteomics, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany; Department of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technical University of Munich, Freising, Germany
| | - Stefan F Lichtenthaler
- German Center for Neurodegenerative Diseases, Site Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Neuroproteomics, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Bernhard Kuster
- Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany; German Cancer Consortium (DKTK), Munich Partner Site, Munich, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias Mann
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Axel Imhof
- Protein Analysis Unit, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-University (LMU) Munich, Großhaderner Straße 9, 82152, Martinsried, Germany
| | - Teresa Barth
- Protein Analysis Unit, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-University (LMU) Munich, Großhaderner Straße 9, 82152, Martinsried, Germany
| | - Stefanie M Hauck
- Research Unit Protein Science and Metabolomics and Proteomics Core, Helmholtz Centre Munich, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London, UK; Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Markus Otto
- Department of Neurology, Halle University Hospital, Martin Luther University Halle/Wittenberg, Saale, Germany
| | - Wilko Weichert
- Institute of Pathology, Technische Universität München, Munich, Germany
| | - Bernhard Hemmer
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Department of Neurology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany; German Center for Neurodegenerative Diseases, Site Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
| |
Collapse
|
14
|
Gaps and challenges in nonclinical assessments of pharmaceuticals: An FDA/CDER perspective on considerations for development of new approach methodologies. Regul Toxicol Pharmacol 2023; 139:105345. [PMID: 36746323 DOI: 10.1016/j.yrtph.2023.105345] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/13/2023] [Accepted: 01/28/2023] [Indexed: 02/06/2023]
Abstract
Previously, we provided an FDA/CDER perspective on nonclinical testing strategies and briefly discussed the opportunities and challenges of using new approach methodologies (NAMs) in drug development, especially for regulatory purposes. To facilitate the integration of NAMs into nonclinical regulatory testing, we surveyed the CDER Pharmacology/Toxicology community to identify the nonclinical challenges faced by CDER review staff, including gaps and areas of concern underserved by current nonclinical testing approaches, and to understand how development of NAMs with specific contexts of use (COUs) could potentially alleviate them. Survey outcomes were coalesced into CDER-identified needs for which NAMs with specific COUs could potentially be developed to address gaps and challenges in nonclinical safety assessments. We also discussed the current FDA procedure for validation and qualification of NAMs intended to inform regulatory decisions. This manuscript is intended to facilitate productive discussions and collaborations with regulatory, government, and academic stakeholders within the drug development community regarding the development and regulatory use of NAMs and their role in safety and efficacy assessment of pharmaceuticals.
Collapse
|
15
|
Adamova P, Lotto RR, Powell AK, Dykes IM. Are there foetal extracellular vesicles in maternal blood? Prospects for diagnostic biomarker discovery. J Mol Med (Berl) 2023; 101:65-81. [PMID: 36538060 PMCID: PMC9977902 DOI: 10.1007/s00109-022-02278-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 11/14/2022] [Accepted: 12/05/2022] [Indexed: 03/02/2023]
Abstract
Prenatal diagnosis of congenital disease improves clinical outcomes; however, as many as 50% of congenital heart disease cases are missed by current ultrasound screening methods. This indicates a need for improved screening technology. Extracellular vesicles (EVs) have attracted enormous interest in recent years for their potential in diagnostics. EVs mediate endocrine signalling in health and disease and are known to regulate aspects of embryonic development. Here, we critically evaluate recent evidence suggesting that EVs released from the foetus are able to cross the placenta and enter the maternal circulation. Furthermore, EVs from the mother appear to be transported in the reverse direction, whilst the placenta itself acts as a source of EVs. Experimental work utilising rodent models employing either transgenically encoded reporters or application of fluorescent tracking dyes provide convincing evidence of foetal-maternal crosstalk. This is supported by clinical data demonstrating expression of placental-origin EVs in maternal blood, as well as limited evidence for the presence of foetal-origin EVs. Together, this work raises the possibility that foetal EVs present in maternal blood could be used for the diagnosis of congenital disease. We discuss the challenges faced by researchers in translating these basic science findings into a clinical non-invasive prenatal test.
Collapse
Affiliation(s)
- Petra Adamova
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom St, Liverpool, L3 3AF, UK.,Liverpool Centre for Cardiovascular Science, Liverpool John Moores University, Liverpool, UK
| | - Robyn R Lotto
- Liverpool Centre for Cardiovascular Science, Liverpool John Moores University, Liverpool, UK.,School of Nursing and Allied Health, Liverpool John Moores University, Tithebarn St, Liverpool, L2 2ER, UK
| | - Andrew K Powell
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom St, Liverpool, L3 3AF, UK.,Liverpool Centre for Cardiovascular Science, Liverpool John Moores University, Liverpool, UK
| | - Iain M Dykes
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom St, Liverpool, L3 3AF, UK. .,Liverpool Centre for Cardiovascular Science, Liverpool John Moores University, Liverpool, UK.
| |
Collapse
|
16
|
Martin M, Kleinhenz M, Schwartzkopf-Genswein K, Melendez D, Marti S, Pajor E, Janzen E, Coetzee J. Characterizing the diagnostic sensitivity and specificity of pain biomarkers in cattle using receiver operating characteristic curves. J Dairy Sci 2022; 105:9853-9868. [DOI: 10.3168/jds.2021-21393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 07/18/2022] [Indexed: 11/05/2022]
|
17
|
Iyer V, Yang Z, Ko J, Weissleder R, Issadore D. Advancing microfluidic diagnostic chips into clinical use: a review of current challenges and opportunities. LAB ON A CHIP 2022; 22:3110-3121. [PMID: 35674283 PMCID: PMC9798730 DOI: 10.1039/d2lc00024e] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Microfluidic diagnostic (μDX) technologies miniaturize sensors and actuators to the length-scales that are relevant to biology: the micrometer scale to interact with cells and the nanometer scale to interrogate biology's molecular machinery. This miniaturization allows measurements of biomarkers of disease (cells, nanoscale vesicles, molecules) in clinical samples that are not detectable using conventional technologies. There has been steady progress in the field over the last three decades, and a recent burst of activity catalyzed by the COVID-19 pandemic. In this time, an impressive and ever-growing set of technologies have been successfully validated in their ability to measure biomarkers in clinical samples, such as blood and urine, with sensitivity and specificity not possible using conventional tests. Despite our field's many accomplishments to date, very few of these technologies have been successfully commercialized and brought to clinical use where they can fulfill their promise to improve medical care. In this paper, we identify three major technological trends in our field that we believe will allow the next generation of μDx to have a major impact on the practice of medicine, and which present major opportunities for those entering the field from outside disciplines: 1. the combination of next generation, highly multiplexed μDx technologies with machine learning to allow complex patterns of multiple biomarkers to be decoded to inform clinical decision points, for which conventional biomarkers do not necessarily exist. 2. The use of micro/nano devices to overcome the limits of binding affinity in complex backgrounds in both the detection of sparse soluble proteins and nucleic acids in blood and rare circulating extracellular vesicles. 3. A suite of recent technologies that obviate the manual pre-processing and post-processing of samples before they are measured on a μDX chip. Additionally, we discuss economic and regulatory challenges that have stymied μDx translation to the clinic, and highlight strategies for successfully navigating this challenging space.
Collapse
Affiliation(s)
- Vasant Iyer
- Electrical and Systems Engineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
| | - Zijian Yang
- Mechanical Engineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jina Ko
- Bioengineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital/Harvard Medical School, 185 Cambridge Street, Boston, Massachusetts, USA
| | - David Issadore
- Electrical and Systems Engineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
- Bioengineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| |
Collapse
|
18
|
van Dijk E, van Werkhoven E, Asher R, Mooi JK, Espinoza D, van Essen HF, van Tinteren H, van Grieken NCT, Punt CJA, Tebbutt NC, Ylstra B. Predictive value of chromosome 18q11.2-q12.1 loss for benefit from bevacizumab in metastatic colorectal cancer; a post-hoc analysis of the randomized phase III-trial AGITG-MAX. Int J Cancer 2022; 151:1166-1174. [PMID: 35489024 PMCID: PMC9545440 DOI: 10.1002/ijc.34061] [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: 10/26/2021] [Revised: 03/07/2022] [Accepted: 04/12/2022] [Indexed: 11/24/2022]
Abstract
The VEGF‐A monoclonal antibody bevacizumab is currently recommended for first‐line treatment of all metastatic colorectal cancer (mCRC) patients. Cost‐benefit ratio and side‐effects however necessitate patient selection. A large retrospective yet nonrandomized study showed that patients with loss of chromosome 18q11.2‐q12.1 in the tumor and treated with bevacizumab have 3 months improved median progression‐free (PFS) and overall survival (OS) benefit compared to patients without this loss and/or treatment modality. Implementation for loss of chromosome 18q11.2‐q12.1 as a marker in clinical practice mandates evidence in a randomized controlled trial for bevacizumab. Of the trials with randomization of chemotherapy vs chemotherapy with bevacizumab, the AGITG‐MAX trial was the only one with tumor materials available. Chromosome 18q11.2‐q12.1 copy number status was measured for 256 AGITG‐MAX trial patients and correlated with PFS according to a predefined analysis plan with marker‐treatment interaction as the primary end‐point. Chromosome 18q11.2‐q12.1 losses were detected in 71% of patients (181/256) characteristic for mCRC. Consistent with the nonrandomized study, significant PFS benefit of bevacizumab was observed in patients with chromosome 18q11.2‐q12.1 loss (P = .009), and not in patients without 18q loss (P = .67). Although significance for marker‐treatment interaction was not reached (Pinteraction = .28), hazard ratio and 95% confidence interval of this randomized cohort (HRinteraction = 0.72; 95% CI = 0.39‐1.32) shows striking overlap with the nonrandomized study cohorts (HRinteraction = 0.41; 95% CI = 0.32‐0.8) supported by a nonsignificant Cochrane χ2 test (P = .11) for heterogeneity. We conclude that post hoc analysis of the AGITG‐MAX RCT provides supportive evidence for chromosome 18q11.2‐q12.1 as a predictive marker for bevacizumab in mCRC patients.
Collapse
Affiliation(s)
- Erik van Dijk
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands
| | - Erik van Werkhoven
- Biometrics Department, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Rebecca Asher
- Department of Biostatistics, NHMRC Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Jennifer K Mooi
- Olivia Newton-John Cancer Research Institute, Heidelberg; Department of Medicine, University of Melbourne, Melbourne, Australia.,Peter MacCallum Cancer Institute, Melbourne, Australia
| | - David Espinoza
- Department of Biostatistics, NHMRC Clinical Trials Centre, University of Sydney, Camperdown, Australia
| | - Hendrik F van Essen
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands
| | - Harm van Tinteren
- Trial and Datacenter, Princess Máxima Center for pedeatric oncology, Utrecht, The Netherlands
| | - Nicole C T van Grieken
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands
| | - Cornelis J A Punt
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.,Department of Epidemiology, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands
| | - Niall C Tebbutt
- Department of Medical Oncology, Austin Health, Heidelberg, Australia.,Department of Surgery, University of Melbourne
| | - Bauke Ylstra
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands
| |
Collapse
|
19
|
Almario EN, Kettermann A, Popat V. Informatics in Medical Product Regulation: The Right Drug at the Right Dose for the Right Patient. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2486:277-314. [PMID: 35437728 DOI: 10.1007/978-1-0716-2265-0_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
This chapter describes the role of regulatory medical product review in furthering precision medicine. Efficient data processing and appropriate analyses are needed to synthesize information and provide directions for use in a medical product label. We describe opportunities and challenges in outcome assessment through informatics, as bioengineered therapeutics are increasingly developed for the unmet needs of molecularly defined diseases. Data submission requirements and analytic principles are outlined, and regulatory resources and foundational law and statute are cited for the reader.
Collapse
Affiliation(s)
| | - Anna Kettermann
- Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Vaishali Popat
- Biomedical Informatics and Regulatory Review Science, Office of New Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| |
Collapse
|
20
|
Caron B, Patin E, Rotival M, Charbit B, Albert ML, Quintana-Murci L, Duffy D, Rausell A. Integrative genetic and immune cell analysis of plasma proteins in healthy donors identifies novel associations involving primary immune deficiency genes. Genome Med 2022; 14:28. [PMID: 35264221 PMCID: PMC8905727 DOI: 10.1186/s13073-022-01032-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 02/15/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Blood plasma proteins play an important role in immune defense against pathogens, including cytokine signaling, the complement system, and the acute-phase response. Recent large-scale studies have reported genetic (i.e., protein quantitative trait loci, pQTLs) and non-genetic factors, such as age and sex, as major determinants to inter-individual variability in immune response variation. However, the contribution of blood-cell composition to plasma protein heterogeneity has not been fully characterized and may act as a mediating factor in association studies. METHODS Here, we evaluated plasma protein levels from 400 unrelated healthy individuals of western European ancestry, who were stratified by sex and two decades of life (20-29 and 60-69 years), from the Milieu Intérieur cohort. We quantified 229 proteins by Luminex in a clinically certified laboratory and their levels of variation were analyzed together with 5.2 million single-nucleotide polymorphisms. With respect to non-genetic variables, we included 254 lifestyle and biochemical factors, as well as counts of seven circulating immune cell populations measured by hemogram and standardized flow cytometry. RESULTS Collectively, we found 152 significant associations involving 49 proteins and 20 non-genetic variables. Consistent with previous studies, age and sex showed a global, pervasive impact on plasma protein heterogeneity, while body mass index and other health status variables were among the non-genetic factors with the highest number of associations. After controlling for these covariates, we identified 100 and 12 pQTLs acting in cis and trans, respectively, collectively associated with 87 plasma proteins and including 19 novel genetic associations. Genetic factors explained the largest fraction of the variability of plasma protein levels, as compared to non-genetic factors. In addition, blood-cell fractions, including leukocytes, lymphocytes, monocytes, neutrophils, eosinophils, basophils, and platelets, had a larger contribution to inter-individual variability than age and sex and appeared as confounders of specific genetic associations. Finally, we identified new genetic associations with plasma protein levels of five monogenic Mendelian disease genes including two primary immunodeficiency genes (Ficolin-3 and FAS). CONCLUSIONS Our study identified novel genetic and non-genetic factors associated to plasma protein levels which may inform health status and disease management.
Collapse
Affiliation(s)
- Barthelemy Caron
- Université de Paris, INSERM UMR1163, Imagine Institute, Clinical Bioinformatics Laboratory, F-75006, Paris, France
| | - Etienne Patin
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Université de Paris, F-75015, Paris, France
| | - Maxime Rotival
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Université de Paris, F-75015, Paris, France
| | - Bruno Charbit
- Cytometry and Biomarkers UTechS, CRT, Institut Pasteur, Université de Paris, F-75015, Paris, France
| | | | - Lluis Quintana-Murci
- Human Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Université de Paris, F-75015, Paris, France
- Human Genomics and Evolution, Collège de France, F-75005, Paris, France
| | - Darragh Duffy
- Cytometry and Biomarkers UTechS, CRT, Institut Pasteur, Université de Paris, F-75015, Paris, France.
- Translational Immunology Unit, Institut Pasteur, Université de Paris, F-75015, Paris, France.
| | - Antonio Rausell
- Université de Paris, INSERM UMR1163, Imagine Institute, Clinical Bioinformatics Laboratory, F-75006, Paris, France.
- Service de Médecine Génomique des Maladies Rares, AP-HP, Necker Hospital for Sick Children, F-75015, Paris, France.
| |
Collapse
|
21
|
Trovato M. Update on International Medical Taxonomies of Biomarkers and Their Applications in Management of Thyroid Cancers. Diagnostics (Basel) 2022; 12:diagnostics12030662. [PMID: 35328215 PMCID: PMC8946984 DOI: 10.3390/diagnostics12030662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/03/2022] [Accepted: 03/07/2022] [Indexed: 11/16/2022] Open
Abstract
Biomarkers (BMs) are medical signs which can be precisely measured and reproduced. Mainly, BMs provide information on the likely disease which can occur in an individual. On the other hand, BMs also signal disease recurrence in patients receiving therapy. The U.S. Food and Drug Administration coupled with the National Institutes of Health and the European Medicines Agency have proposed two distinct procedures to validate BMs. These agencies have elaborated two glossaries to describe the role of BMs. The aim of this study was to investigate medical taxonomies adopted by different governmental agencies for BM validation. Additional goals were to analyze efficiencies of the validated and candidate BMs for thyroid cancers (TCs). Currently, thyroglobulin is validated for monitoring TCs. Sorafenib-tosylate, Doxorubicin-hydrochloride, Vandetanib, Cabozantinib-s-malate, Dabrafenib-mesylate, Trametinib-dimethyl-sulfoxide, Lenvatinib-mesylate, Pralsetinib and Selpercatinib are validated for TC treatment. Among candidate BMs for TC diagnosis, there are molecular combinations including BRAF, RAS, RET/PTC and PAX8-PPARγ mutations. Noteworthy are BRAF and RET/PTC alterations already validated as targets of Dabrafenib-mesylate, Pralsetinib and Selpercatinib. Finally, cellular expressions of c-met in nodal TC metastases have diagnostic imaging applications. On the basis of this analysis, BM taxonomies should have common standards internationally recognized. BMs show different efficiencies depending on their diagnostic or therapeutic use.
Collapse
Affiliation(s)
- Maria Trovato
- Department of Clinical and Experimental Medicine, Policlinico Universitario, Consolare Valeria 1, 98125 Messina, Italy
| |
Collapse
|
22
|
Loewenthal L, Menzies-Gow A. FeNO in Asthma. Semin Respir Crit Care Med 2022; 43:635-645. [DOI: 10.1055/s-0042-1743290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
AbstractAsthma is a common disease affecting 350 million people worldwide, which is characterized by airways inflammation and hyperreactivity. Historically diagnosis and treatment have been mainly based on symptoms, which have the potential to result in misdiagnosis and inappropriate treatment. Nitric oxide (NO) is exhaled in human breath and is a marker of airways inflammation. Levels of NO are increased in the exhaled breath of patients with type 2 asthma and fractional exhaled nitric oxide (FeNO) provides an objective biomarker of airway inflammation. FeNO testing is an accessible, noninvasive, and easy-to-use test. Cut-off values have been established by the American Thoracic Society (ATS), the Global Initiative for Asthma (GINA), and the National Institute for Health and Care Excellence (NICE) but vary between guidance. FeNO levels have been shown to be predictive of blood and sputum eosinophil levels but should not be used in isolation and current guidance emphasizes the importance of incorporating clinical symptoms and testing when utilizing FeNO results. The inclusion of FeNO testing can increase diagnostic accuracy of asthma, while high levels in asthmatic patients can help predict response to inhaled corticosteroids (ICS) and suppression of levels with ICS to monitor adherence. FeNO levels are also a predictor of asthma risk with increased exacerbation rates and accelerated decline in lung function associated with high levels as well as having an emerging role in predicting response to some biologic therapies in severe asthma. FeNO testing is cost-effective and has been shown, when combined with clinical assessment, to improve asthma management.
Collapse
Affiliation(s)
- Lola Loewenthal
- Department of Respiratory Medicine, Royal Brompton and Harefield Hospitals, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, United Kingdom
| | - Andrew Menzies-Gow
- Department of Respiratory Medicine, Royal Brompton and Harefield Hospitals, London, United Kingdom
| |
Collapse
|
23
|
Vellan CJ, Jayapalan JJ, Yoong BK, Abdul-Aziz A, Mat-Junit S, Subramanian P. Application of Proteomics in Pancreatic Ductal Adenocarcinoma Biomarker Investigations: A Review. Int J Mol Sci 2022; 23:2093. [PMID: 35216204 PMCID: PMC8879036 DOI: 10.3390/ijms23042093] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/07/2022] [Accepted: 01/09/2022] [Indexed: 12/12/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC), a highly aggressive malignancy with a poor prognosis is usually detected at the advanced stage of the disease. The only US Food and Drug Administration-approved biomarker that is available for PDAC, CA 19-9, is most useful in monitoring treatment response among PDAC patients rather than for early detection. Moreover, when CA 19-9 is solely used for diagnostic purposes, it has only a recorded sensitivity of 79% and specificity of 82% in symptomatic individuals. Therefore, there is an urgent need to identify reliable biomarkers for diagnosis (specifically for the early diagnosis), ascertain prognosis as well as to monitor treatment response and tumour recurrence of PDAC. In recent years, proteomic technologies are growing exponentially at an accelerated rate for a wide range of applications in cancer research. In this review, we discussed the current status of biomarker research for PDAC using various proteomic technologies. This review will explore the potential perspective for understanding and identifying the unique alterations in protein expressions that could prove beneficial in discovering new robust biomarkers to detect PDAC at an early stage, ascertain prognosis of patients with the disease in addition to monitoring treatment response and tumour recurrence of patients.
Collapse
Affiliation(s)
- Christina Jane Vellan
- Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia; (C.J.V.); (A.A.-A.); (S.M.-J.)
| | - Jaime Jacqueline Jayapalan
- Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia; (C.J.V.); (A.A.-A.); (S.M.-J.)
- University of Malaya Centre for Proteomics Research (UMCPR), Universiti Malaya, Kuala Lumpur 50603, Malaysia
| | - Boon-Koon Yoong
- Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia;
| | - Azlina Abdul-Aziz
- Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia; (C.J.V.); (A.A.-A.); (S.M.-J.)
| | - Sarni Mat-Junit
- Department of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia; (C.J.V.); (A.A.-A.); (S.M.-J.)
| | - Perumal Subramanian
- Department of Biochemistry and Biotechnology, Annamalai University, Chidambaram 608002, Tamil Nadu, India;
| |
Collapse
|
24
|
Bakker E, Hendrikse NM, Ehmann F, van der Meer DS, Llinares Garcia J, Vetter T, Starokozhko V, Mol PGM. Biomarker qualification at the European Medicines Agency: a review of biomarker qualification procedures from 2008 to 2020. Clin Pharmacol Ther 2022; 112:69-80. [PMID: 35137949 PMCID: PMC9313861 DOI: 10.1002/cpt.2554] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 02/02/2022] [Indexed: 11/17/2022]
Abstract
Regulatory qualification of biomarkers facilitates their harmonized use across drug developers, enabling more personalized medicine. This study reviews various aspects of the European Medicines Agency’s (EMA’s) biomarker qualification procedure, including frequency and outcome, common challenges, and biomarker characteristics. Our findings provide insights into the EMA’s biomarker qualification process and will thereby support future applications. All biomarker‐related “Qualification of Novel Methodologies for Medicine Development” procedures that started from 2008 to 2020 were included. Procedural data were extracted from relevant documents and analyzed descriptively. In total, 86 biomarker qualification procedures were identified, of which 13 resulted in qualified biomarkers. Whereas initially many biomarker qualification procedures were linked to a single company and specific drug development program, a shift was observed to qualification efforts by consortia. Most biomarkers were proposed (n = 45) and qualified (n = 9) for use in patient selection, stratification, and/or enrichment, followed by efficacy biomarkers (37 proposed, 4 qualified). Overall, many issues were raised during qualification procedures, mostly related to biomarker properties and assay validation (in 79% and 77% of all procedures, respectively). Issues related to the proposed context of use and rationale were least common yet were still raised in 54% of all procedures. While few qualified biomarkers are currently available, procedures focus increasingly on biomarkers for general use instead of those linked to specific drug compounds. The issues raised during qualification procedures illustrate the thorough discussions taking place between applicants and regulators—highlighting aspects that need careful consideration and underlining the importance of an appropriate validation strategy.
Collapse
Affiliation(s)
- Elisabeth Bakker
- Department of Clinical Pharmacy and Pharmacology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | | | - Falk Ehmann
- European Medicines Agency, Amsterdam, The Netherlands
| | - Daniëlla S van der Meer
- Department of Clinical Pharmacy and Pharmacology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.,Dutch Medicines Evaluation Board, CBG-MEB, Utrecht, The Netherlands
| | | | | | - Viktoriia Starokozhko
- Department of Clinical Pharmacy and Pharmacology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.,Dutch Medicines Evaluation Board, CBG-MEB, Utrecht, The Netherlands
| | - Peter G M Mol
- Department of Clinical Pharmacy and Pharmacology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.,Dutch Medicines Evaluation Board, CBG-MEB, Utrecht, The Netherlands.,Scientific Advice Working Party of the European Medicines Agency, Amsterdam, The Netherlands
| |
Collapse
|
25
|
Abstract
SUMMARY The field of clinical EEG has had an uneasy relationship with the use of this technology for clinical cognitive applications and often for good reason. However, apart from its clinical use, EEG has had a tradition as a major tool in cognitive psychology and cognitive neuroscience dating back at least to the 1960s. Based on accumulated knowledge from its research application, EEG-based biomarkers are beginning to see applications in clinical trials and may eventually enter clinical care. We address concerns surrounding quality control, the treatment of artifact, and normal variants and how developments in engineering, biomarker validation, and implementation science rigorously applied to these tools can lead to well-justified approaches.
Collapse
Affiliation(s)
- Joshua B. Ewen
- Kennedy Krieger Institute, Baltimore, MD
- Johns Hopkins University, Baltimore, MD
| | - April R. Levin
- Harvard Medical School, Boston, MA
- Boston Children’s Hospital, Boston, MA
| |
Collapse
|
26
|
Neumann E, Schreeck F, Herberg J, Jacqz Aigrain E, Maitland-van der Zee AH, Pérez-Martínez A, Hawcutt DB, Schaeffeler E, Rane A, de Wildt SN, Schwab M. How paediatric drug development and use could benefit from OMICs: a c4c expert group white paper. Br J Clin Pharmacol 2022; 88:5017-5033. [PMID: 34997627 DOI: 10.1111/bcp.15216] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 12/11/2021] [Accepted: 12/14/2021] [Indexed: 12/01/2022] Open
Abstract
The safety and efficacy of pharmacotherapy in children, particularly preterms, neonates, and infants, is limited by a paucity of good quality data from prospective clinical drug trials. A specific challenge is the establishment of valid biomarkers. OMICs technologies may support these efforts, by complementary information about targeted and non-targeted molecules through systematic characterization and quantitation of biological samples. OMICs technologies comprise at least genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics in addition to the patient's phenotype. OMICs technologies are in part hypothesis-generating allowing an in depth understanding of disease pathophysiology and pharmacological mechanisms. Application of OMICs technologies in paediatrics faces major challenges before routine adoption. First, developmental processes need to be considered, including a sub-division into specific age groups as developmental changes clearly impact OMICs data. Second, compared to the adult population, the number of patients is limited as well as type and amount of necessary biomaterial, especially in neonates and preterms. Thus, advanced trial designs and biostatistical methods, non-invasive biomarkers, innovative biobanking concepts including data and samples from healthy children, as well as analytical approaches (e.g. liquid biopsies) should be addressed to overcome these obstacles. The ultimate goal is to link OMICs technologies with innovative analysis tools, like artificial intelligence at an early stage. The use of OMICs data based on a feasible approach will contribute to identify complex phenotypes and subpopulations of patients to improve development of medicines for children with potential economic advantages.
Collapse
Affiliation(s)
- Eva Neumann
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tuebingen, Tuebingen, Germany
| | - Filippa Schreeck
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tuebingen, Tuebingen, Germany
| | - Jethro Herberg
- Department of Paediatric Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Evelyne Jacqz Aigrain
- Pediatric Pharmacology and Pharmacogenetics, Hopital Universitaire Saint-Louis, Paris, France.,Clinical Investigation Center CIC1426, Hôpital Robert Debre, Paris, France.,Pharmacology, University of Paris, Paris, France
| | | | - Antonio Pérez-Martínez
- Institute for Health Research (IdiPAZ), La Paz University Hospital, Madrid, Spain.,Pediatric Onco-Hematology Department, La Paz University Hospital, Madrid, Spain.,Faculty of Medicine, Autonomous University of Madrid, Madrid, Spain
| | - Daniel B Hawcutt
- Department of Women's and Children's Health, University of Liverpool, UK.,NIHR Alder Hey Clinical Research Facility, Alder Hey Children's Hospital, Liverpool, UK
| | - Elke Schaeffeler
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tuebingen, Tuebingen, Germany
| | - Anders Rane
- Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Saskia N de Wildt
- Department of Pharmacology and Toxicology, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.,Intensive Care and Department of Paediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Matthias Schwab
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, and University of Tuebingen, Tuebingen, Germany.,Departments of Clinical Pharmacology, and of Biochemistry and Pharmacy, University of Tuebingen, Tuebingen, Germany
| |
Collapse
|
27
|
Eastell R, Vittinghoff E, Lui LY, McCulloch CE, Pavo I, Chines A, Khosla S, Cauley JA, Mitlak B, Bauer DC, Bouxsein M, Black DM. Validation of the Surrogate Threshold Effect for Change in Bone Mineral Density as a Surrogate Endpoint for Fracture Outcomes: The FNIH-ASBMR SABRE Project. J Bone Miner Res 2022; 37:29-35. [PMID: 34490915 PMCID: PMC9291617 DOI: 10.1002/jbmr.4433] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 08/12/2021] [Accepted: 08/29/2021] [Indexed: 12/01/2022]
Abstract
The surrogate threshold effect (STE) is defined as the minimum treatment effect on a surrogate that is reliably predictive of a treatment effect on the clinical outcome. It provides a framework for implementing a clinical trial with a surrogate endpoint. The aim of this study was to update our previous analysis by validating the STE for change in total hip (TH) BMD as a surrogate for fracture risk reduction; the novelty of this study was this validation. To do so, we used individual patient data from 61,415 participants in 16 RCTs that evaluated bisphosphonates (nine trials), selective estrogen receptor modulators (four trials), denosumab (one trial), odanacatib (one trial), and teriparatide (one trial) to estimate trial-specific treatment effects on TH BMD and all, vertebral, hip, and nonvertebral fractures. We then conducted a random effects meta-regression of the log relative fracture risk reduction against 24-month change in TH BMD, and computed the STE as the intersection of the upper 95% prediction limit of this regression with the line of no fracture reduction. We validated the STE by checking whether the number of fractures in each trial provided 80% power and determining what proportion of trials with BMD changes ≥ STE reported significant reductions in fracture risk. We applied this analysis to (i) the trials on which we estimated the STE; and (ii) trials on which we did not estimate the STE. We found that the STEs for all, vertebral, hip, and nonvertebral fractures were 1.83%, 1.42%, 3.18%, and 2.13%, respectively. Among trials used to estimate STE, 27 of 28 were adequately powered, showed BMD effects exceeding the STE, and showed significant reductions in fracture risk. Among the validation set of 11 trials, 10 met these criteria. Thus STE differs by fracture type and has been validated in trials not used to develop the approach. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
Collapse
Affiliation(s)
- Richard Eastell
- Academic Unit of Bone Metabolism, University of Sheffield, Sheffield, UK
| | - Eric Vittinghoff
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Li-Yung Lui
- California Pacific Medical Center, San Francisco, CA, USA
| | - Charles E McCulloch
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Imre Pavo
- Eli Lilly and Company, Lilly Research Centre, Windlesham, UK
| | | | | | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Douglas C Bauer
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Mary Bouxsein
- Center for Advanced Orthopedic Studies, Department of Orthopedic Surgery, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Dennis M Black
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| |
Collapse
|
28
|
Sarkis GA, Zhu T, Yang Z, Li X, Shi Y, Rubenstein R, Yost RA, Manley GT, Wang KK. Characterization and standardization of multiassay platforms for four commonly studied traumatic brain injury protein biomarkers: a TBI Endpoints Development Study. Biomark Med 2021; 15:1721-1732. [PMID: 34674546 PMCID: PMC8739397 DOI: 10.2217/bmm-2021-0284] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 07/28/2021] [Indexed: 12/21/2022] Open
Abstract
Aim: There is a critical need to validate biofluid-based biomarkers as diagnostic and drug development tools for traumatic brain injury (TBI). As part of the TBI Endpoints Development Initiative, we identified four potentially predictive and pharmacodynamic biomarkers for TBI: astroglial markers GFAP and S100B and the neuronal markers UCH-L1 and Tau. Materials & methods: Several commonly used platforms for these four biomarkers were identified and compared on analytic performance and ability to detect gold standard recombinant protein antigens and to pool control versus TBI cerebrospinal fluid (CSF). Results: For each marker, only some assay formats could differentiate TBI CSF from the control CSF. Also, different assays for the same biomarker reported divergent biomarker values for the same biosamples. Conclusion: Due to the variability of TBI marker assay in performance and reported values, standardization strategies are recommended when comparing reported biomarker levels across assay platforms.
Collapse
Affiliation(s)
- George Anis Sarkis
- Department of Chemistry, University of Florida, Gainesville, FL 32611, USA
| | - Tian Zhu
- Department of Emergency Medicine, University of Florida, 1149 Newell Drive, L4-100, Gainesville, FL 32611, USA
- Department of Pediatrics, Daping Hospital, Chongqing, Third Military Medical University, Chongqing, China
- Department of Neonatology, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Zhihui Yang
- Department of Emergency Medicine, University of Florida, 1149 Newell Drive, L4-100, Gainesville, FL 32611, USA
| | - Xue Li
- Department of Emergency Medicine, University of Florida, 1149 Newell Drive, L4-100, Gainesville, FL 32611, USA
- Department of Neonatology, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Yuan Shi
- Department of Pediatrics, Daping Hospital, Chongqing, Third Military Medical University, Chongqing, China
- Department of Neonatology, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Richard Rubenstein
- Department of Neurology, SUNY Downstate Medical Center, 450 Clarkson Avenue, Brooklyn, NY 11203-2098, USA
| | - Richard A Yost
- Department of Chemistry, University of Florida, Gainesville, FL 32611, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Kevin K Wang
- Department of Emergency Medicine, University of Florida, 1149 Newell Drive, L4-100, Gainesville, FL 32611, USA
- Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, North Florida/South Georgia Veterans Health System, 1601 SW Archer Road, Gainesville, FL 32608, USA
| |
Collapse
|
29
|
Choi YY, Jang E, Kim H, Kim KM, Noh SH, Sohn TS, Huh YM, An JY, Cheong JH. Single patient classifier as a prognostic biomarker in pT1N1 gastric cancer: Results from two large Korean cohorts. Chin J Cancer Res 2021; 33:583-591. [PMID: 34815632 PMCID: PMC8580794 DOI: 10.21147/j.issn.1000-9604.2021.05.05] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 09/17/2021] [Indexed: 12/23/2022] Open
Abstract
Objective Benefits of adjuvant treatment in pT1N1 gastric cancer (GC) remain controversial. Additionally, an effective biomarker for early GC is the need of the hour. The prognostic and predictive roles of single patient classifier (SPC) were validated in stage II/III GC. In this study, we aimed to elucidate the role of SPC as a biomarker for pT1N1 GC. Methods The present retrospective biomarker study (NCT03485105) enrolled patients treated for pT1N1 GC between 1996 and 2012 from two large hospitals (the Y cohort and S cohort). For SPC, mRNA expression of four classifier genes (GZMB, WARS, SFRP4 and CDX1) were evaluated by real-time reverse transcription-polymerase chain reaction assay. The SPC was revised targeting pT1 stages and the prognosis was stratified as high- and low-risk group by the expression of SFRP4, a representative epithelial-mesenchymal transition marker.
Results SPC was evaluated in 875 patients (n=391 and 484 in the Y and S cohorts, respectively). Among 864 patients whose SPC result was available, 41 (4.7%) patients experience GC recurrence. According to revised SPC, 254 (29.4%) patients were classified as high risk [123 (31.5%) and 131 (27.1%) in the Y and S cohorts, respectively]. The high risk was related to frequent recurrence in both Y and S cohort (log-rank P=0.023, P<0.001, respectively), while there was no difference byGZMB and WARS expression. Multivariable analyses of the overall-cohort confirmed the high risk of revised SPC as a significant prognostic factor [hazard ratio (HR): 4.402 (2.293−8.449), P<0.001] of GC. A significant difference was not detected by SPC in the prognosis of patients in the presence and absence of adjuvant treatment (log-rank P=0.670).
Conclusions The present study revealed the revised SPC as a prognostic biomarker of pT1N1 GC and suggested the use of the revised SPC for early-stage GC as like stage II/III.
Collapse
Affiliation(s)
- Yoon Young Choi
- Department of Surgery, CHA Ilsan Medical Center, CHA University School of Medicine, Goyang-si 1205, Korea.,Department of Surgery, Yonsei University Health System, Seoul 03722, Korea
| | - Eunji Jang
- Department of Radiology, Yonsei University Health System, Seoul 03722, Korea
| | - Hyunki Kim
- Department of Pathology, Yonsei University Health System, Seoul 03722, Korea
| | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Sung Hoon Noh
- Department of Surgery, Yonsei University Health System, Seoul 03722, Korea
| | - Tae Sung Sohn
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Yong-Min Huh
- Department of Radiology, Yonsei University Health System, Seoul 03722, Korea
| | - Ji Yeong An
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Jae-Ho Cheong
- Department of Surgery, Yonsei University Health System, Seoul 03722, Korea.,YUHS-KRIBB Medical Convergence Research Institute, Seoul 03722, Korea.,Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul 03722, Korea
| |
Collapse
|
30
|
Todd KR, Van Der Scheer JW, Walsh JJ, Jackson GS, Dix GU, Little JP, Kramer JLK, Martin Ginis KA. The Impact of Sub-maximal Exercise on Neuropathic Pain, Inflammation, and Affect Among Adults With Spinal Cord Injury: A Pilot Study. FRONTIERS IN REHABILITATION SCIENCES 2021; 2:700780. [PMID: 36188763 PMCID: PMC9397724 DOI: 10.3389/fresc.2021.700780] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 09/29/2021] [Indexed: 06/16/2023]
Abstract
Introduction: Persons with spinal cord injury (SCI) often report high levels of neuropathic pain (NP) and poor well-being, which may result from increased inflammation. This study examined the impact of sub-maximal aerobic exercise on NP, inflammation and psychological affect among adults with SCI. Methods: Eight active adults with tetraplegia (n-4, AIS A-C) and paraplegia (n = 4, AIS A-C) performed 30-min of arm-crank aerobic exercise and reported their ratings of perceived exertion (RPE) each minute. Measures of NP, affect, and inflammatory cytokines (IL-6, IL-10, IL-1ra, TNF-α) were taken pre-(T0), immediately post-(T1), and 90-min post-exercise (T2). Results: NP decreased between T0 and T1 for tetraplegics (-60%, d = 0.47; CI = -0.32, 2.02) and paraplegics (-16%, d = 0.15; CI = -0.30, 0.90). Correlations between change in cytokines and change in NP were medium-to large for tetraplegics (rs ranged from -0.820 to 0.965) and paraplegics (rs ranged from -0.598 to 0.833). However, the pattern of correlations between change in cytokines and affect was inconsistent between groups. Lower baseline levels of IL-1ra predicted greater decreases in NP immediately post-exercise (r = 0.83, p = 0.01). Conclusion: Sub-maximal exercise can positively impact NP for some persons with SCI. Further experimental research should identify the optimal exercise intensity to reduce NP for persons with SCI, in addition to understanding biomarkers which may predict changes in NP. Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT03955523.
Collapse
Affiliation(s)
- Kendra R. Todd
- Department of Kinesiology, University of British Columbia, Kelowna, BC, Canada
- International Collaboration on Repair Discoveries, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Jan W. Van Der Scheer
- The Healthcare Improvement Studies Institute, University of Cambridge, Cambridge, United Kingdom
| | - Jeremy J. Walsh
- Department of Kinesiology, University of British Columbia, Kelowna, BC, Canada
- Department of Kinesiology, McMaster University, Hamilton, ON, Canada
| | - Garett S. Jackson
- Department of Kinesiology, University of British Columbia, Kelowna, BC, Canada
| | - Gabriel U. Dix
- Department of Kinesiology, University of British Columbia, Kelowna, BC, Canada
- International Collaboration on Repair Discoveries, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | | | - John L. K. Kramer
- International Collaboration on Repair Discoveries, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, BC, Canada
| | - Kathleen A. Martin Ginis
- Department of Kinesiology, University of British Columbia, Kelowna, BC, Canada
- International Collaboration on Repair Discoveries, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
- Department of Medicine, Division of Physical Medicine and Rehabilitation, University of British Columbia, Vancouver, BC, Canada
- Centre for Chronic Disease Prevention and Management, University of British Columbia, Kelowna, BC, Canada
| |
Collapse
|
31
|
Amaral MS, Santos DW, Pereira ASA, Tahira AC, Malvezzi JVM, Miyasato PA, Freitas RDP, Kalil J, Tjon Kon Fat EM, de Dood CJ, Corstjens PLAM, van Dam GJ, Nakano E, Castro SDO, Mattaraia VGDM, Augusto RDC, Grunau C, Wilson RA, Verjovski-Almeida S. Rhesus macaques self-curing from a schistosome infection can display complete immunity to challenge. Nat Commun 2021; 12:6181. [PMID: 34702841 PMCID: PMC8548296 DOI: 10.1038/s41467-021-26497-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 10/05/2021] [Indexed: 12/13/2022] Open
Abstract
The rhesus macaque provides a unique model of acquired immunity against schistosomes, which afflict >200 million people worldwide. By monitoring bloodstream levels of parasite-gut-derived antigen, we show that from week 10 onwards an established infection with Schistosoma mansoni is cleared in an exponential manner, eliciting resistance to reinfection. Secondary challenge at week 42 demonstrates that protection is strong in all animals and complete in some. Antibody profiles suggest that antigens mediating protection are the released products of developing schistosomula. In culture they are killed by addition of rhesus plasma, collected from week 8 post-infection onwards, and even more efficiently with post-challenge plasma. Furthermore, cultured schistosomula lose chromatin activating marks at the transcription start site of genes related to worm development and show decreased expression of genes related to lysosomes and lytic vacuoles involved with autophagy. Overall, our results indicate that enhanced antibody responses against the challenge migrating larvae mediate the naturally acquired protective immunity and will inform the route to an effective vaccine. To date there is only one single drug with modest efficacy and no vaccine available to protect from schistosomiasis. Here, Amaral et al. characterize the self-cure process of rhesus macaques following primary infection and secondary challenge with Schistosoma mansoni to inform future vaccine development studies.
Collapse
Affiliation(s)
| | - Daisy Woellner Santos
- Laboratório de Parasitologia, Instituto Butantan, Sao Paulo, Brazil.,Departamento de Bioquímica, Instituto de Química, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Adriana S A Pereira
- Laboratório de Parasitologia, Instituto Butantan, Sao Paulo, Brazil.,Departamento de Bioquímica, Instituto de Química, Universidade de Sao Paulo, Sao Paulo, Brazil
| | | | | | | | | | - Jorge Kalil
- Heart Institute, Faculty of Medicine, University of Sao Paulo (USP), Sao Paulo, Brazil
| | - Elisa M Tjon Kon Fat
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Claudia J de Dood
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Paul L A M Corstjens
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Govert J van Dam
- Department of Parasitology, Leiden University Medical Center, Leiden, The Netherlands
| | - Eliana Nakano
- Laboratório de Parasitologia, Instituto Butantan, Sao Paulo, Brazil
| | | | | | - Ronaldo de Carvalho Augusto
- LBMC, Laboratoire de Biologie et Modélisation de la Cellule Univ Lyon, ENS de Lyon, Université Claude Bernard Lyon 1, CNRS, UMR 5239, INSERM, U1210, Lyon, France.,IHPE, Univ. Perpignan Via Domitia, CNRS, IFREMER, Univ Montpellier, Perpignan, France
| | - Christoph Grunau
- IHPE, Univ. Perpignan Via Domitia, CNRS, IFREMER, Univ Montpellier, Perpignan, France
| | - R Alan Wilson
- York Biomedical Research Institute, Department of Biology, University of York, Heslington, York, United Kingdom
| | - Sergio Verjovski-Almeida
- Laboratório de Parasitologia, Instituto Butantan, Sao Paulo, Brazil. .,Departamento de Bioquímica, Instituto de Química, Universidade de Sao Paulo, Sao Paulo, Brazil.
| |
Collapse
|
32
|
Kaltenboeck A, Mehlman A, Pearson SD. Potential policy reforms to strengthen the accelerated approval pathway. J Comp Eff Res 2021; 10:1177-1186. [PMID: 34427103 DOI: 10.2217/cer-2021-0184] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The accelerated approval pathway for new drugs in the United States is often praised but faces growing criticism of whether it is finding the appropriate balance between uncertainty, access and cost. To support efforts to strengthen the pathway, this paper provides an analysis of key concerns and the advantages and disadvantages of ten potential policy reforms - those achievable through the US FDA action alone, and those that would require a combination of government, payer and life science industry actions. Accelerated approval sits at the heart of many of the controversies regarding drug approvals and pricing, and this analysis provides perspectives on how best to strengthen the pathway within the broader landscape of an innovative US healthcare system.
Collapse
Affiliation(s)
- Anna Kaltenboeck
- Center for Health Policy & Outcomes, Memorial Sloan Kettering Cancer Center, New York City, NY 10065, USA
| | - Amanda Mehlman
- Institute for Clinical & Economic Review, Boston, MA 02108, USA
| | | |
Collapse
|
33
|
Lill JR, Mathews WR, Rose CM, Schirle M. Proteomics in the pharmaceutical and biotechnology industry: a look to the next decade. Expert Rev Proteomics 2021; 18:503-526. [PMID: 34320887 DOI: 10.1080/14789450.2021.1962300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Pioneering technologies such as proteomics have helped fuel the biotechnology and pharmaceutical industry with the discovery of novel targets and an intricate understanding of the activity of therapeutics and their various activities in vitro and in vivo. The field of proteomics is undergoing an inflection point, where new sensitive technologies are allowing intricate biological pathways to be better understood, and novel biochemical tools are pivoting us into a new era of chemical proteomics and biomarker discovery. In this review, we describe these areas of innovation, and discuss where the fields are headed in terms of fueling biotechnological and pharmacological research and discuss current gaps in the proteomic technology landscape. AREAS COVERED Single cell sequencing and single molecule sequencing. Chemoproteomics. Biological matrices and clinical samples including biomarkers. Computational tools including instrument control software, data analysis. EXPERT OPINION Proteomics will likely remain a key technology in the coming decade, but will have to evolve with respect to type and granularity of data, cost and throughput of data generation as well as integration with other technologies to fulfill its promise in drug discovery.
Collapse
Affiliation(s)
- Jennie R Lill
- Department of Microchemistry, Lipidomics and Next Generation Sequencing, Genentech Inc. DNA Way, South San Francisco, CA, USA
| | - William R Mathews
- OMNI Department, Genentech Inc. 1 DNA Way, South San Francisco, CA, USA
| | - Christopher M Rose
- Department of Microchemistry, Lipidomics and Next Generation Sequencing, Genentech Inc. DNA Way, South San Francisco, CA, USA
| | - Markus Schirle
- Chemical Biology and Therapeutics Department, Novartis Institutes for Biomedical Research, Cambridge, MA, USA
| |
Collapse
|
34
|
Rudnicki SA. Editorial to the supplement entitled "assessments of pulmonary function in patients with amyotrophic lateral sclerosis: options and applicability in both the clinical care and clinical trial settings". Amyotroph Lateral Scler Frontotemporal Degener 2021; 22:2-4. [PMID: 34348532 DOI: 10.1080/21678421.2021.1930153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
35
|
Tran WT, Lu FI, Salgado R. Tumor infiltrating lymphocytes: current pathways to a standard biomarker in breast cancer. Expert Rev Anticancer Ther 2021; 21:1299-1301. [PMID: 34236013 DOI: 10.1080/14737140.2021.1953987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- William T Tran
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Fang-I Lu
- Pathobiology and Laboratory Medicine, University of Toronto, Toronto, Canada
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA Hospitals, Antwerp, Belgium.,Division of Research, Peter Mac Callum Cancer Centre, Melbourne, Australia
| |
Collapse
|
36
|
A white paper on a neurodevelopmental framework for drug discovery in autism and other neurodevelopmental disorders. Eur Neuropsychopharmacol 2021; 48:49-88. [PMID: 33781629 DOI: 10.1016/j.euroneuro.2021.02.020] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 02/08/2021] [Accepted: 02/15/2021] [Indexed: 12/20/2022]
Abstract
In the last decade there has been a revolution in terms of genetic findings in neurodevelopmental disorders (NDDs), with many discoveries critical for understanding their aetiology and pathophysiology. Clinical trials in single-gene disorders such as fragile X syndrome highlight the challenges of investigating new drug targets in NDDs. Incorporating a developmental perspective into the process of drug development for NDDs could help to overcome some of the current difficulties in identifying and testing new treatments. This paper provides a summary of the proceedings of the 'New Frontiers Meeting' on neurodevelopmental disorders organised by the European College of Neuropsychopharmacology in conjunction with the Innovative Medicines Initiative-sponsored AIMS-2-TRIALS consortium. It brought together experts in developmental genetics, autism, NDDs, and clinical trials from academia and industry, regulators, patient and family associations, and other stakeholders. The meeting sought to provide a platform for focused communication on scientific insights, challenges, and methodologies that might be applicable to the development of CNS treatments from a neurodevelopmental perspective. Multidisciplinary translational consortia to develop basic and clinical research in parallel could be pivotal to advance knowledge in the field. Although implementation of clinical trials for NDDs in paediatric populations is widely acknowledged as essential, safety concerns should guide each aspect of their design. Industry and academia should join forces to improve knowledge of the biology of brain development, identify the optimal timing of interventions, and translate these findings into new drugs, allowing for the needs of users and families, with support from regulatory agencies.
Collapse
|
37
|
Paczesny S, Pasquini MC, Pavletic SZ, Agarwal A, Spellman S, Kean L, Bernatchez C, Gust J, Staedtke V, Perales MA. Blueprint for the discovery of biomarkers of toxicity and efficacy for CAR T cells and T-cell engagers. Blood Adv 2021; 5:2519-2522. [PMID: 34100901 PMCID: PMC8238483 DOI: 10.1182/bloodadvances.2021004604] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 04/10/2021] [Indexed: 01/16/2023] Open
Affiliation(s)
- Sophie Paczesny
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC
| | - Marcelo C Pasquini
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI
| | - Steven Z Pavletic
- National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | - Stephen Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program, Minneapolis, MN
| | - Leslie Kean
- Boston Children's Hospital, Dana-Farber Cancer Institute, Boston, MA
| | | | | | - Verena Staedtke
- Johns Hopkins Comprehensive Neurofibromatosis Center, Johns Hopkins University, Baltimore, MD; and
| | | |
Collapse
|
38
|
Puentes-Osorio Y, Amariles P, Calleja MÁ, Merino V, Díaz-Coronado JC, Taborda D. Potential clinical biomarkers in rheumatoid arthritis with an omic approach. AUTOIMMUNITY HIGHLIGHTS 2021; 12:9. [PMID: 34059137 PMCID: PMC8165788 DOI: 10.1186/s13317-021-00152-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/18/2021] [Indexed: 12/29/2022]
Abstract
Objective To aid in the selection of the most suitable therapeutic option in patients with diagnosis of rheumatoid arthritis according to the phase of disease, through the review of articles that identify omics biological markers. Methods A systematic review in PubMed/Medline databases was performed. We searched articles from August 2014 to September 2019, in English and Spanish, filtered by title and full text; and using the terms "Biomarkers" AND “Rheumatoid arthritis". Results This article supplies an exhaustive review from research of objective measurement, omics biomarkers and how disease activity appraise decrease unpredictability in treatment determinations, and finally, economic, and clinical outcomes of treatment options by biomarkers’ potential influence. A total of 122 articles were included. Only 92 met the established criteria for review purposes and 17 relevant references about the topic were included as well. Therefore, it was possible to identify 196 potential clinical biomarkers: 22 non-omics, 20 epigenomics, 33 genomics, 21 transcriptomics, 78 proteomics, 4 glycomics, 1 lipidomics and 17 metabolomics. Conclusion A biomarker is a measurable indicator of some, biochemical, physiological, or morphological condition; evaluable at a molecular, biochemical, or cellular level. Biomarkers work as indicators of physiological or pathological processes, or as a result of a therapeutic management. In the last five years, new biomarkers have been identified, especially the omics, which are those that proceed from the investigation of genes (genomics), metabolites (metabolomics), and proteins (proteomics). These biomarkers contribute to the physician choosing the best therapeutic option in patients with rheumatoid arthritis.
Collapse
|
39
|
Girard R, Li Y, Stadnik A, Shenkar R, Hobson N, Romanos S, Srinath A, Moore T, Lightle R, Shkoukani A, Akers A, Carroll T, Christoforidis GA, Koenig JI, Lee C, Piedad K, Greenberg SM, Kim H, Flemming KD, Ji Y, Awad IA. A Roadmap for Developing Plasma Diagnostic and Prognostic Biomarkers of Cerebral Cavernous Angioma With Symptomatic Hemorrhage (CASH). Neurosurgery 2021; 88:686-697. [PMID: 33469662 DOI: 10.1093/neuros/nyaa478] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 08/16/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Cerebral cavernous angioma (CA) is a capillary microangiopathy predisposing more than a million Americans to premature risk of brain hemorrhage. CA with recent symptomatic hemorrhage (SH), most likely to re-bleed with serious clinical sequelae, is the primary focus of therapeutic development. Signaling aberrations in CA include proliferative dysangiogenesis, blood-brain barrier hyperpermeability, inflammatory/immune processes, and anticoagulant vascular domain. Plasma levels of molecules reflecting these mechanisms and measures of vascular permeability and iron deposition on magnetic resonance imaging are biomarkers that have been correlated with CA hemorrhage. OBJECTIVE To optimize these biomarkers to accurately diagnose cavernous angioma with symptomatic hemorrhage (CASH), prognosticate the risk of future SH, and monitor cases after a bleed and in response to therapy. METHODS Additional candidate biomarkers, emerging from ongoing mechanistic and differential transcriptome studies, would further enhance the sensitivity and specificity of diagnosis and prediction of CASH. Integrative combinations of levels of plasma proteins and characteristic micro-ribonucleic acids may further strengthen biomarker associations. We will deploy advanced statistical and machine learning approaches for the integration of novel candidate biomarkers, rejecting noncorrelated candidates, and determining the best clustering and weighing of combined biomarker contributions. EXPECTED OUTCOMES With the expertise of leading CA researchers, this project anticipates the development of future blood tests for the diagnosis and prediction of CASH to clinically advance towards precision medicine. DISCUSSION The project tests a novel integrational approach of biomarker development in a mechanistically defined cerebrovascular disease with a relevant context of use, with an approach applicable to other neurological diseases with similar pathobiologic features.
Collapse
Affiliation(s)
- Romuald Girard
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Yan Li
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois.,Bioinformatics core, Center for Research Informatics, University of Chicago, Chicago, Illinois
| | - Agnieszka Stadnik
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Robert Shenkar
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Nicholas Hobson
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Sharbel Romanos
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Abhinav Srinath
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Thomas Moore
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Rhonda Lightle
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Abdallah Shkoukani
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | | | - Timothy Carroll
- Department of Diagnostic Radiology, The University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Gregory A Christoforidis
- Department of Diagnostic Radiology, The University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - James I Koenig
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | | | - Kristina Piedad
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Helen Kim
- Department of Anesthesia & Perioperative Care, University of California at San Francisco, San Francisco, California
| | | | - Yuan Ji
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Issam A Awad
- Neurovascular Surgery Program, Department of Surgery, Section of Neurosurgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| |
Collapse
|
40
|
Skeen MB, Pani L. Biomarkers and Surrogate End points in Multiple Sclerosis Trials: Regulatory Issues. J Clin Neurophysiol 2021; 38:181-185. [PMID: 33958568 DOI: 10.1097/wnp.0000000000000732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
SUMMARY Evoked potentials have assisted in the diagnosis of multiple sclerosis for years, but the potential to demonstrate pathophysiologic change has prompted a reconsideration of their potential role as outcome measures in clinical trials of multiple sclerosis. The use of any surrogate end point or biomarker in clinical trials requires a thorough understanding of that end point's performance characteristics and utility in a particular setting. This article explores regulatory issues regarding the use of biomarkers and surrogate end points in clinical trials of multiple sclerosis with particular emphasis on challenges faced by evoked potential studies.
Collapse
Affiliation(s)
- Mark B Skeen
- Department of Neurology, Division of Multiple Sclerosis and Neuroimmunology, Duke University Medical Center, Durham, North Carolina, U.S.A.; and
| | - Luca Pani
- Department of Psychiatry and Behavioral Sciences, University of Miami, Miami, Florida, U.S.A
| |
Collapse
|
41
|
Chen Y, Wu T, Zhu Z, Huang H, Zhang L, Goel A, Yang M, Wang X. An integrated workflow for biomarker development using microRNAs in extracellular vesicles for cancer precision medicine. Semin Cancer Biol 2021; 74:134-155. [PMID: 33766650 DOI: 10.1016/j.semcancer.2021.03.011] [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] [Received: 12/07/2020] [Revised: 03/13/2021] [Accepted: 03/16/2021] [Indexed: 02/06/2023]
Abstract
EV-miRNAs are microRNA (miRNA) molecules encapsulated in extracellular vesicles (EVs), which play crucial roles in tumor pathogenesis, progression, and metastasis. Recent studies about EV-miRNAs have gained novel insights into cancer biology and have demonstrated a great potential to develop novel liquid biopsy assays for various applications. Notably, compared to conventional liquid biomarkers, EV-miRNAs are more advantageous in representing host-cell molecular architecture and exhibiting higher stability and specificity. Despite various available techniques for EV-miRNA separation, concentration, profiling, and data analysis, a standardized approach for EV-miRNA biomarker development is yet lacking. In this review, we performed a substantial literature review and distilled an integrated workflow encompassing important steps for EV-miRNA biomarker development, including sample collection and EV isolation, EV-miRNA extraction and quantification, high-throughput data preprocessing, biomarker prioritization and model construction, functional analysis, as well as validation. With the rapid growth of "big data", we highlight the importance of efficient mining of high-throughput data for the discovery of EV-miRNA biomarkers and integrating multiple independent datasets for in silico and experimental validations to increase the robustness and reproducibility. Furthermore, as an efficient strategy in systems biology, network inference provides insights into the regulatory mechanisms and can be used to select functionally important EV-miRNAs to refine the biomarker candidates. Despite the encouraging development in the field, a number of challenges still hinder the clinical translation. We finally summarize several common challenges in various biomarker studies and discuss potential opportunities emerging in the related fields.
Collapse
Affiliation(s)
- Yu Chen
- Department of Biomedical Sciences, City University of Hong Kong, 31 To Yuen Street, Kowloon Tong, Hong Kong
| | - Tan Wu
- Department of Biomedical Sciences, City University of Hong Kong, 31 To Yuen Street, Kowloon Tong, Hong Kong
| | - Zhongxu Zhu
- Department of Biomedical Sciences, City University of Hong Kong, 31 To Yuen Street, Kowloon Tong, Hong Kong
| | - Hao Huang
- Department of Biomedical Sciences, City University of Hong Kong, 31 To Yuen Street, Kowloon Tong, Hong Kong
| | - Liang Zhang
- Department of Biomedical Sciences, City University of Hong Kong, 31 To Yuen Street, Kowloon Tong, Hong Kong; Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong; Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute, City University of Hong Kong, Shenzhen, Guangdong Province, China
| | - Ajay Goel
- Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Mengsu Yang
- Department of Biomedical Sciences, City University of Hong Kong, 31 To Yuen Street, Kowloon Tong, Hong Kong; Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong; Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute, City University of Hong Kong, Shenzhen, Guangdong Province, China
| | - Xin Wang
- Department of Biomedical Sciences, City University of Hong Kong, 31 To Yuen Street, Kowloon Tong, Hong Kong; Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong; Key Laboratory of Biochip Technology, Biotech and Health Centre, Shenzhen Research Institute, City University of Hong Kong, Shenzhen, Guangdong Province, China.
| |
Collapse
|
42
|
Charvériat M, Lafon V, Mouthon F, Zimmer L. Innovative approaches in CNS drug discovery. Therapie 2021; 76:101-109. [DOI: 10.1016/j.therap.2020.12.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 09/04/2020] [Indexed: 12/15/2022]
|
43
|
Vissers MFJM, Heuberger JAAC, Groeneveld GJ. Targeting for Success: Demonstrating Proof-of-Concept with Mechanistic Early Phase Clinical Pharmacology Studies for Disease-Modification in Neurodegenerative Disorders. Int J Mol Sci 2021; 22:1615. [PMID: 33562713 PMCID: PMC7915613 DOI: 10.3390/ijms22041615] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 02/02/2021] [Accepted: 02/03/2021] [Indexed: 12/23/2022] Open
Abstract
The clinical failure rate for disease-modifying treatments (DMTs) that slow or stop disease progression has been nearly 100% for the major neurodegenerative disorders (NDDs), with many compounds failing in expensive and time-consuming phase 2 and 3 trials for lack of efficacy. Here, we critically review the use of pharmacological and mechanistic biomarkers in early phase clinical trials of DMTs in NDDs, and propose a roadmap for providing early proof-of-concept to increase R&D productivity in this field of high unmet medical need. A literature search was performed on published early phase clinical trials aimed at the evaluation of NDD DMT compounds using MESH terms in PubMed. Publications were selected that reported an early phase clinical trial with NDD DMT compounds between 2010 and November 2020. Attention was given to the reported use of pharmacodynamic (mechanistic and physiological response) biomarkers. A total of 121 early phase clinical trials were identified, of which 89 trials (74%) incorporated one or multiple pharmacodynamic biomarkers. However, only 65 trials (54%) used mechanistic (target occupancy or activation) biomarkers to demonstrate target engagement in humans. The most important categories of early phase mechanistic and response biomarkers are discussed and a roadmap for incorporation of a robust biomarker strategy for early phase NDD DMT clinical trials is proposed. As our understanding of NDDs is improving, there is a rise in potentially disease-modifying treatments being brought to the clinic. Further increasing the rational use of mechanistic biomarkers in early phase trials for these (targeted) therapies can increase R&D productivity with a quick win/fast fail approach in an area that has seen a nearly 100% failure rate to date.
Collapse
Affiliation(s)
- Maurits F. J. M. Vissers
- Centre for Human Drug Research, Zernikedreef 8, 2333 CL Leiden, The Netherlands; (J.A.A.C.H.); (G.J.G.)
- Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Jules A. A. C. Heuberger
- Centre for Human Drug Research, Zernikedreef 8, 2333 CL Leiden, The Netherlands; (J.A.A.C.H.); (G.J.G.)
| | - Geert Jan Groeneveld
- Centre for Human Drug Research, Zernikedreef 8, 2333 CL Leiden, The Netherlands; (J.A.A.C.H.); (G.J.G.)
- Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| |
Collapse
|
44
|
Eastell R, Black DM, Lui LY, Chines A, Marin F, Khosla S, de Papp AE, Cauley JA, Mitlak B, McCulloch CE, Vittinghoff E, Bauer DC. Treatment-Related Changes in Bone Turnover and Fracture Risk Reduction in Clinical Trials of Antiresorptive Drugs: Proportion of Treatment Effect Explained. J Bone Miner Res 2021; 36:236-243. [PMID: 32916023 DOI: 10.1002/jbmr.4178] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 08/14/2020] [Accepted: 09/03/2020] [Indexed: 11/10/2022]
Abstract
Few analyses of antiresorptive (AR) treatment trials relate short-term changes in bone turnover markers (BTMs) to subsequent fracture reduction seeking to estimate the proportion of treatment effect explained (PTE) by BTMs. Pooling such information would be useful to assess new ARs or novel dosing regimens. In the Foundation for the National Institutes of Health (FNIH) Bone Quality project, we analyzed individual-level data from up to 62,000 participants enrolled in 12 bisphosphonate (BP) and four selective estrogen receptor modulator (SERM) placebo-controlled fracture endpoint trials. Using BTM results for two bone formation markers (bone-specific alkaline phosphatase [bone ALP] and pro-collagen I N-propeptide [PINP]) and one bone resorption marker (C-terminal telopeptide of type I collagen [CTX]) and incident fracture outcome data, we estimated the PTE using two different models. Separate analyses were performed for incident morphometric vertebral, nonvertebral, and hip fractures over 1 to 5 years of follow-up. For vertebral fracture, the results showed that changes in all three BTMs at 6 months explained a large proportion of the treatment effect of ARs (57 to >100%), but not for and non-vertebral or hip fracture. We conclude that short-term AR treatment-related changes in bone ALP, PINP, and CTX account for a large proportion of the treatment effect for vertebral fracture. Change in BTMs is a useful surrogate marker to study the anti-fracture efficacy of new AR compounds or novel dosing regiments with approved AR drugs. © 2020 The Authors. Journal of Bone and Mineral Research published by American Society for Bone and Mineral Research.
Collapse
Affiliation(s)
- Richard Eastell
- Academic Unit of Bone Metabolism, University of Sheffield, Sheffield, UK
| | - Dennis M Black
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Li-Yung Lui
- California Pacific Medical Center, San Francisco, CA, USA
| | | | - Fernando Marin
- Eli Lilly and Company, Lilly Research Centre, Windlesham, UK
| | | | | | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Charles E McCulloch
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Douglas C Bauer
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.,Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | |
Collapse
|
45
|
|
46
|
Bime C, Camp SM, Casanova N, Oita RC, Ndukum J, Lynn H, Garcia JGN. The acute respiratory distress syndrome biomarker pipeline: crippling gaps between discovery and clinical utility. Transl Res 2020; 226:105-115. [PMID: 32599095 PMCID: PMC7319618 DOI: 10.1016/j.trsl.2020.06.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 06/17/2020] [Accepted: 06/23/2020] [Indexed: 12/14/2022]
Abstract
Recent innovations in translational research have ushered an exponential increase in the discovery of novel biomarkers, thereby elevating the hope for deeper insights into "personalized" medicine approaches to disease phenotyping and care. However, a critical gap exists between the fast pace of biomarker discovery and the successful translation to clinical use. This gap underscores the fundamental biomarker conundrum across various acute and chronic disorders: how does a biomarker address a specific unmet need? Additionally, the gap highlights the need to shift the paradigm from a focus on biomarker discovery to greater translational impact and the need for a more streamlined drug approval process. The unmet need for biomarkers in acute respiratory distress syndrome (ARDS) is for reliable and validated biomarkers that minimize heterogeneity and allow for stratification of subject selection for enrollment in clinical trials of tailored therapies. This unmet need is particularly highlighted by the ongoing SARS-CoV-2/COVID-19 pandemic. The unprecedented numbers of COVID-19-induced ARDS cases has strained health care systems across the world and exposed the need for biomarkers that would accelerate drug development and the successful phenotyping of COVID-19-infected patients at risk for development of ARDS and ARDS mortality. Accordingly, this review discusses the current state of ARDS biomarkers in the context of the drug development pipeline and highlight gaps between biomarker discovery and clinical implementation while proposing potential paths forward. We discuss potential ARDS biomarkers by category and by context of use, highlighting progress in the development continuum. We conclude by discussing challenges to successful translation of biomarker candidates to clinical impact and proposing possible novel strategies.
Collapse
Affiliation(s)
- Christian Bime
- College of Medicine, University of Arizona Health Sciences, Tucson, Arizona.
| | - Sara M Camp
- College of Medicine, University of Arizona Health Sciences, Tucson, Arizona
| | - Nancy Casanova
- College of Medicine, University of Arizona Health Sciences, Tucson, Arizona
| | - Radu C Oita
- College of Medicine, University of Arizona Health Sciences, Tucson, Arizona
| | - Juliet Ndukum
- College of Medicine, University of Arizona Health Sciences, Tucson, Arizona
| | - Heather Lynn
- College of Medicine, University of Arizona Health Sciences, Tucson, Arizona
| | - Joe G N Garcia
- College of Medicine, University of Arizona Health Sciences, Tucson, Arizona
| |
Collapse
|
47
|
Pang L, Liu Z, Wei F, Cai C, Yang X. Improving cardiotoxicity prediction in cancer treatment: integration of conventional circulating biomarkers and novel exploratory tools. Arch Toxicol 2020; 95:791-805. [PMID: 33219404 DOI: 10.1007/s00204-020-02952-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 11/05/2020] [Indexed: 12/31/2022]
Abstract
Early detection strategies and improvements in cancer treatment have dramatically reduced the cancer mortality rate in the United States (US). However, cardiovascular (CV) side effects of cancer therapy are frequent among the 17 million cancer survivors in the US today, and cardiovascular disease (CVD) has become the second leading cause of morbidity and mortality among cancer survivors. Circulating biomarkers are ideal for detecting and monitoring CV side effects of cancer therapy. Here, we summarize the current state of clinical studies on conventional serum and plasma CVD biomarkers to detect and prevent cardiac injury during cancer treatment. We also review how novel exploratory tools such as genetic testing, human stem cell-derived cardiomyocytes, Omics technologies, and artificial intelligence can elucidate underlying molecular and genetic mechanisms of CV injury and to improve predicting cancer therapy-related cardiotoxicity (CTRC). Current regulatory requirements for biomarker qualifications are also addressed. We present generally applicable lessons learned from published studies, particularly on how to improve reproducibility. The combination of conventional circulating biomarkers and novel exploratory tools will pave the way for precision medicine and improve the clinical practice of prediction, detection, and management of CTRC.
Collapse
Affiliation(s)
- Li Pang
- Division of Systems Biology, National Center for Toxicological Research, US. Food and Drug Administration, 3900 NCTR Road, Jefferson, AR, 72079, USA.
| | - Zhichao Liu
- Division of Bioinformation and Biostatistics, National Center for Toxicological Research, US. Food and Drug Administration, Jefferson, AR, USA
| | - Feng Wei
- Department of Structural Heart Disease, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Chengzhong Cai
- Division of Systems Biology, National Center for Toxicological Research, US. Food and Drug Administration, 3900 NCTR Road, Jefferson, AR, 72079, USA
| | - Xi Yang
- Division of Pharmacology & Toxicology, Office of Cardiology, Hematology, Endocrinology, & Nephrology, Office of New Drug, Center for Drug Evaluation and Research, US. Food and Drug Administration, Silver Spring, MD, USA
| |
Collapse
|
48
|
miRNAs as Potential Biomarkers for Traumatic Brain Injury: Pathway From Diagnosis to Neurorehabilitation. J Head Trauma Rehabil 2020; 36:E155-E169. [PMID: 33201038 DOI: 10.1097/htr.0000000000000632] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Biomarkers that can advance precision neurorehabilitation of the traumatic brain injury (TBI) are needed. MicroRNAs (miRNAs) have biological properties that could make them well suited for playing key roles in differential diagnoses and prognoses and informing likelihood of responsiveness to specific treatments. OBJECTIVE To review the evidence of miRNA alterations after TBI and evaluate the state of science relative to potential neurorehabilitation applications of TBI-specific miRNAs. METHODS This scoping review includes 57 animal and human studies evaluating miRNAs after TBI. PubMed, Scopus, and Google Scholar search engines were used. RESULTS Gold standard analytic steps for miRNA biomarker assessment are presented. Published studies evaluating the evidence for miRNAs as potential biomarkers for TBI diagnosis, severity, natural recovery, and treatment-induced outcomes were reviewed including statistical evaluation. Growing evidence for specific miRNAs, including miR21, as TBI biomarkers is presented. CONCLUSIONS There is evidence of differential miRNA expression in TBI in both human and animal models; however, gaps need to be filled in terms of replication using rigorous, standardized methods to isolate a consistent set of miRNA changes. Longitudinal studies in TBI are needed to understand how miRNAs could be implemented as biomarkers in clinical practice.
Collapse
|
49
|
van Donge T, Welzel T, Atkinson A, van den Anker J, Pfister M. Age-Dependent Changes of Kidney Injury Biomarkers in Pediatrics. J Clin Pharmacol 2020; 59 Suppl 1:S21-S32. [PMID: 31502686 DOI: 10.1002/jcph.1487] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 06/21/2019] [Indexed: 12/12/2022]
Abstract
Currently used creatinine-based parameters for monitoring kidney function are not reliable for early detection of kidney injury (KI), particularly tubular damage. Several KI biomarkers allow for early detection of glomerular and tubular damage and may help to prevent drug-related chronic kidney diseases in pediatrics. This literature review describes the state of current research and investigates reference values for these KI biomarkers in neonates, infants, and children to better understand age-related changes. A total of 12 of 237 screened studies fulfilled predefined criteria, including 219 preterm neonates, 70 neonates, 596 infants, and 1726 children. KI biomarkers were analyzed in urine (6 studies), in serum/plasma (5 studies) and in serum and urine (1 study). Four studies (n = 555) measured urinary kidney injury molecule-1, whereas urinary neutrophil gelatinase-associated lipocalin was assessed in 5 studies (n = 888), and 2 studies (n = 203) investigated serum cystatin C. This review of KI biomarkers in different pediatric age groups indicates that (1) the majority of KI biomarkers are measured in urine; (2) the 3 most commonly analyzed KI biomarkers are urinary neutrophil gelatinase-associated lipocalin, urinary kidney injury molecule-1, and serum cystatin C; (3) values of KI biomarkers appear to decrease from prematurity to infancy; and (4) there is an unmet need to further enhance knowledge on age-dependent changes of KI biomarkers in pediatrics. Studies are needed to better characterize reference values for these key KI biomarkers in healthy pediatric populations and to evaluate the value of these markers in the early detection of drug-related KI in neonates, infants, and children.
Collapse
Affiliation(s)
- Tamara van Donge
- Pediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel (UKBB), University of Basel, Basel, Switzerland
| | - Tatjana Welzel
- Pediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel (UKBB), University of Basel, Basel, Switzerland
| | - Andrew Atkinson
- Pediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel (UKBB), University of Basel, Basel, Switzerland
| | - John van den Anker
- Pediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel (UKBB), University of Basel, Basel, Switzerland.,Division of Clinical Pharmacology, Children's National Health System, Washington, DC, USA.,Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Marc Pfister
- Pediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel (UKBB), University of Basel, Basel, Switzerland
| |
Collapse
|
50
|
Accelerated Approval or Risk Reduction? How Response Biomarkers Advance Therapeutics through Clinical Trials in Cystic Fibrosis. Trends Mol Med 2020; 26:1068-1077. [PMID: 32868171 DOI: 10.1016/j.molmed.2020.08.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 07/23/2020] [Accepted: 08/03/2020] [Indexed: 02/06/2023]
Abstract
Progress in the development of new therapies for cystic fibrosis (CF) has benefited from therapeutically responsive biomarkers to streamline drug development. Paradoxically, these response biomarkers have been proven to be essential even in the presence of data demonstrating a lack of correlation with clinical outcomes across individuals with CF. This finding is unsurprising, particularly in the setting of a rare disease given complex disease processes and an often-limited pool of clinically effective therapies by which to link biomarkers and clinical responsiveness. While many response biomarkers will be unable to progress from their status as markers of biological efficacy to either established correlates of clinical efficacy or surrogate endpoints, they remain critical to the overall success of therapeutic development.
Collapse
|