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Blakely WF, Port M, Ostheim P, Abend M. Radiation Research Society Journal-based Historical Review of the Use of Biomarkers for Radiation Dose and Injury Assessment: Acute Health Effects Predictions. Radiat Res 2024; 202:185-204. [PMID: 38936821 DOI: 10.1667/rade-24-00121.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 06/11/2024] [Indexed: 06/29/2024]
Abstract
A multiple-parameter based approach using radiation-induced clinical signs and symptoms, hematology changes, cytogenetic chromosomal aberrations, and molecular biomarkers changes after radiation exposure is used for biodosimetry-based dose assessment. In the current article, relevant milestones from Radiation Research are documented that forms the basis of the current consensus approach for diagnostics after radiation exposure. For example, in 1962 the use of cytogenetic chromosomal aberration using the lymphocyte metaphase spread dicentric assay for biodosimetry applications was first published in Radiation Research. This assay is now complimented using other cytogenetic chromosomal aberration assays (i.e., chromosomal translocations, cytokinesis-blocked micronuclei, premature chromosome condensation, γ-H2AX foci, etc.). Changes in blood cell counts represent an early-phase biomarker for radiation exposures. Molecular biomarker changes have evolved to include panels of organ-specific plasma proteomic and blood-based gene expression biomarkers for radiation dose assessment. Maturation of these assays are shown by efforts for automated processing and scoring, development of point-of-care diagnostics devices, service laboratories inter-comparison exercises, and applications for dose and injury assessments in radiation accidents. An alternative and complementary approach has been advocated with the focus to de-emphasize "dose" and instead focus on predicting acute or delayed health effects. The same biomarkers used for dose estimation (e.g., lymphocyte counts) can be used to directly predict the later developing severity degree of acute health effects without performing dose estimation as an additional or intermediate step. This review illustrates contributing steps toward these developments published in Radiation Research.
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Affiliation(s)
- William F Blakely
- Scientific Research Department, Armed Forces Radiobiology Research Institute, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Matthias Port
- Bundeswehr Institute of Radiobiology, Munich, Germany
| | | | - Michael Abend
- Bundeswehr Institute of Radiobiology, Munich, Germany
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Baxter RM, Wang CS, Garcia-Perez JE, Kong DS, Coleman BM, Larchenko V, Schuyler RP, Jackson C, Ghosh T, Rudra P, Paul D, Claassen M, Rochford R, Cambier JC, Ghosh D, Cooper JC, Smith MJ, Hsieh EWY. Expansion of extrafollicular B and T cell subsets in childhood-onset systemic lupus erythematosus. Front Immunol 2023; 14:1208282. [PMID: 37965329 PMCID: PMC10641733 DOI: 10.3389/fimmu.2023.1208282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 10/06/2023] [Indexed: 11/16/2023] Open
Abstract
Introduction Most childhood-onset SLE patients (cSLE) develop lupus nephritis (cLN), but only a small proportion achieve complete response to current therapies. The prognosis of children with LN and end-stage renal disease is particularly dire. Mortality rates within the first five years of renal replacement therapy may reach 22%. Thus, there is urgent need to decipher and target immune mechanisms that drive cLN. Despite the clear role of autoantibody production in SLE, targeted B cell therapies such as rituximab (anti-CD20) and belimumab (anti-BAFF) have shown only modest efficacy in cLN. While many studies have linked dysregulation of germinal center formation to SLE pathogenesis, other work supports a role for extrafollicular B cell activation in generation of pathogenic antibody secreting cells. However, whether extrafollicular B cell subsets and their T cell collaborators play a role in specific organ involvement in cLN and/or track with disease activity remains unknown. Methods We analyzed high-dimensional mass cytometry and gene expression data from 24 treatment naïve cSLE patients at the time of diagnosis and longitudinally, applying novel computational tools to identify abnormalities associated with clinical manifestations (cLN) and disease activity (SLEDAI). Results cSLE patients have an extrafollicular B cell expansion signature, with increased frequency of i) DN2, ii) Bnd2, iii) plasmablasts, and iv) peripheral T helper cells. Most importantly, we discovered that this extrafollicular signature correlates with disease activity in cLN, supporting extrafollicular T/B interactions as a mechanism underlying pediatric renal pathogenesis. Discussion This study integrates established and emerging themes of extrafollicular B cell involvement in SLE by providing evidence for extrafollicular B and peripheral T helper cell expansion, along with elevated type 1 IFN activation, in a homogeneous cohort of treatment-naïve cSLE patients, a point at which they should display the most extreme state of their immune dysregulation.
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Affiliation(s)
- Ryan M. Baxter
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, CO, United States
| | - Christine S. Wang
- Department of Pediatrics, Section of Rheumatology, School of Medicine, University of Colorado, Children’s Hospital Colorado, Aurora, CO, United States
| | - Josselyn E. Garcia-Perez
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, CO, United States
| | - Daniel S. Kong
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, CO, United States
| | - Brianne M. Coleman
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, CO, United States
| | - Valentyna Larchenko
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, CO, United States
| | - Ronald P. Schuyler
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, CO, United States
| | - Conner Jackson
- Center for Innovative Design and Analysis, School of Public Health, University of Colorado, Aurora, CO, United States
| | - Tusharkanti Ghosh
- Department of Biostatistics and Informatics, School of Public Health, University of Colorado, Aurora, CO, United States
| | - Pratyaydipta Rudra
- Department of Statistics, Oklahoma State University, Stillwater, OK, United States
| | - Debdas Paul
- Clinical Bioinformatics & Machine Learning in Translational Single-Cell Biology, University of Tuebingen, Tuebingen, Germany
| | - Manfred Claassen
- Clinical Bioinformatics & Machine Learning in Translational Single-Cell Biology, University of Tuebingen, Tuebingen, Germany
| | - Rosemary Rochford
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, CO, United States
| | - John C. Cambier
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, CO, United States
| | - Debashis Ghosh
- Department of Biostatistics and Informatics, School of Public Health, University of Colorado, Aurora, CO, United States
| | - Jennifer C. Cooper
- Department of Pediatrics, Section of Rheumatology, School of Medicine, University of Colorado, Children’s Hospital Colorado, Aurora, CO, United States
| | - Mia J. Smith
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, CO, United States
- Department of Pediatrics, Barbara Davis Center for Diabetes, School of Medicine, University of Colorado, Aurora, CO, United States
| | - Elena W. Y. Hsieh
- Department of Immunology and Microbiology, School of Medicine, University of Colorado, Aurora, CO, United States
- Department of Pediatrics, Section of Allergy and Immunology, School of Medicine, University of Colorado, Children’s Hospital Colorado, Aurora, CO, United States
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Lacombe J, Summers AJ, Khanishayan A, Khorsandian Y, Hacey I, Blackson W, Zenhausern F. Paper-Based Vertical Flow Immunoassay for the Point-of-Care Multiplex Detection of Radiation Dosimetry Genes. Cytogenet Genome Res 2023; 163:178-186. [PMID: 37369178 PMCID: PMC10751381 DOI: 10.1159/000531702] [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: 12/24/2022] [Accepted: 06/18/2023] [Indexed: 06/29/2023] Open
Abstract
In a nuclear or radiological incident, first responders must quickly and accurately measure radiation exposure among civilians as medical countermeasures are radiation dose-dependent and time-sensitive. Although several approaches have been explored to measure absorbed radiation dose, there is an important need to develop point-of-care (POC) bioassay devices that can be used immediately to triage thousands of individuals potentially exposed to radiation. Here we present a proof-of-concept study showing the use of a paper-based vertical flow immunoassay (VFI) to detect radiation dosimetry genes. Using labeled primers during amplification and a multiplex membrane, our results showed that the nucleic acid VFI can simultaneously detect two biodosimetry genes, CDKN1A and DDB2, as well as one housekeeping gene MRPS5. The assay demonstrated good linearity and precision with an inter- and intra-assay coefficient of variance <20% and <10%, respectively. Moreover, the assay showed its ability to discriminate non-irradiated controls (0 Gy) from irradiated samples (1 + 2 Gy) with an overall sensitivity of 62.5% and specificity of 100% (AUC = 0.8672, 95% CI: 0.723-1.000; p = 0.004). Interestingly, the gene combination also showed a dose-dependent response for 0, 1, and 2 Gy, similar to data obtained by real-time PCR benchmark. These preliminary results suggest that a VFI platform can be used to detect simultaneously multiple genes that can be then quantified, thus offering a new approach for a POC biodosimetry assay that could be rapidly deployed on-site to test a large population and help triage and medical management after radiological event.
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Affiliation(s)
- Jerome Lacombe
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
- Department of Basic Medical Sciences, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Alexander J. Summers
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Ashkan Khanishayan
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Yasaman Khorsandian
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Isabella Hacey
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Wyatt Blackson
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Frederic Zenhausern
- Center for Applied NanoBioscience and Medicine, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
- Department of Basic Medical Sciences, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
- Department of Biomedical Engineering, College of Engineering, University of Arizona, Tucson, AZ, USA
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Morand E, Pike M, Merrill JT, van Vollenhoven R, Werth VP, Hobar C, Delev N, Shah V, Sharkey B, Wegman T, Catlett I, Banerjee S, Singhal S. Deucravacitinib, a Tyrosine Kinase 2 Inhibitor, in Systemic Lupus Erythematosus: A Phase II, Randomized, Double-Blind, Placebo-Controlled Trial. Arthritis Rheumatol 2023; 75:242-252. [PMID: 36369798 PMCID: PMC10100399 DOI: 10.1002/art.42391] [Citation(s) in RCA: 68] [Impact Index Per Article: 68.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/04/2022] [Accepted: 10/14/2022] [Indexed: 11/13/2022]
Abstract
OBJECTIVE To assess the efficacy and safety of deucravacitinib, an oral, selective, allosteric inhibitor of TYK2, in a phase II trial in adult patients with active systemic lupus erythematosus (SLE). METHODS Adults with active SLE were enrolled from 162 sites in 17 countries. Patients (n = 363) were randomized 1:1:1:1 to receive deucravacitinib 3 mg twice daily, 6 mg twice daily, 12 mg once daily, or placebo. The primary end point was SLE Responder Index 4 (SRI-4) response at week 32. Secondary outcomes assessed at week 48 included SRI-4, British Isles Lupus Assessment Group-based Composite Lupus Assessment (BICLA) response, Cutaneous Lupus Erythematosus Disease Area and Severity Index 50 (CLASI-50), Lupus Low Disease Activity State (LLDAS), and improvements in active (swollen plus tender), swollen, and tender joint counts. RESULTS At week 32, the percentage of patients achieving SRI-4 response was 34% with placebo compared to 58% with deucravacitinib 3 mg twice daily (odds ratio [OR] 2.8 [95% confidence interval (95% CI) 1.5, 5.1]; P < 0.001 versus placebo), 50% with 6 mg twice daily (OR 1.9 [95% CI 1.0, 3.4]; P = 0.02 versus placebo), and 45% with 12 mg once daily (OR 1.6 [95% CI 0.8, 2.9]; nominal P = 0.08 versus placebo). Response rates were higher with deucravacitinib treatment for BICLA, CLASI-50, LLDAS, and joint counts compared to placebo. Rates of adverse events were similar across groups, except higher rates of infections and cutaneous events, including rash and acne, with deucravacitinib treatment. Rates of serious adverse events were comparable, with no deaths, opportunistic infections, tuberculosis infections, major adverse cardiovascular events, or thrombotic events reported. CONCLUSION Deucravacitinib treatment elicited higher response rates for SRI-4 and other end points compared with placebo, with an acceptable safety profile, in adult patients with active SLE.
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Affiliation(s)
- Eric Morand
- Monash University and Department of RheumatologyMonash HealthVictoriaAustralia
| | | | | | | | - Victoria P. Werth
- University of Pennsylvania and the Michael J. Crescenz VA Medical CenterPhiladelphia
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Wang Z, Waldman MF, Basavanhally TJ, Jacobs AR, Lopez G, Perichon RY, Ma JJ, Mackenzie EM, Healy JB, Wang Y, Hersey SA. Autoimmune gene expression profiling of fingerstick whole blood in Chronic Fatigue Syndrome. J Transl Med 2022; 20:486. [PMID: 36284352 PMCID: PMC9592873 DOI: 10.1186/s12967-022-03682-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 10/01/2022] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating condition that can lead to severe impairment of physical, psychological, cognitive, social, and occupational functions. The cause of ME/CFS remains incompletely understood. There is no clinical diagnostic test for ME/CFS. Although many therapies have been used off-label to manage symptoms of ME/CFS, there are limited, if any, specific therapies or cure for ME/CFS. In this study, we investigated the expression of genes specific to key immune functions, and viral infection status in ME/CFS patients with an aim of identifying biomarkers for characterization and/or treatment of the disease. METHODS In 2021, one-hundred and sixty-six (166) patients diagnosed with ME/CFS and 83 healthy controls in the US participated in this study via a social media-based application (app). The patients and heathy volunteers consented to the study and provided self-collected finger-stick blood and first morning void urine samples from home. RNA from the fingerstick blood was tested using DxTerity's 51-gene autoimmune RNA expression panel (AIP). In addition, DNA from the same fingerstick blood sample was extracted to detect viral load of 4 known ME/CFS associated viruses (HHV6, HHV7, CMV and EBV) using a real-time PCR method. RESULTS Among the 166 ME/CFS participants in the study, approximately half (49%) of the ME/CFS patients reported being house-bound or bedridden due to severe symptoms of the disease. From the AIP testing, ME/CFS patients with severe, bedridden conditions displayed significant increases in gene expression of IKZF2, IKZF3, HSPA8, BACH2, ABCE1 and CD3D, as compared to patients with mild to moderate disease conditions. These six aforementioned genes were further upregulated in the 22 bedridden participants who suffer not only from ME/CFS but also from other autoimmune diseases. These genes are involved in T cell, B cell and autoimmunity functions. Furthermore, IKZF3 (Aiolos) and IKZF2 (Helios), and BACH2 have been implicated in other autoimmune diseases such as systemic lupus erythematosus (SLE) and Rheumatoid Arthritis (RA). Among the 240 participants tested with the viral assays, 9 samples showed positive results (including 1 EBV positive and 8 HHV6 positives). CONCLUSIONS Our study indicates that gene expression biomarkers may be used in identifying or differentiating subsets of ME/CFS patients having different levels of disease severity. These gene targets may also represent opportunities for new therapeutic modalities for the treatment of ME/CFS. The use of social media engaged patient recruitment and at-home sample collection represents a novel approach for conducting clinical research which saves cost, time and eliminates travel for office visits.
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Affiliation(s)
- Zheng Wang
- Bristol Myers Squibb, Princeton, NJ 08540 USA
| | | | | | | | | | | | | | | | | | - Yixin Wang
- Bristol Myers Squibb, Princeton, NJ 08540 USA
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Northcott M, Jones S, Koelmeyer R, Bonin J, Vincent F, Kandane-Rathnayake R, Hoi A, Morand E. Type 1 interferon status in systemic lupus erythematosus: a longitudinal analysis. Lupus Sci Med 2022; 9:e000625. [PMID: 35197305 PMCID: PMC8867321 DOI: 10.1136/lupus-2021-000625] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/04/2022] [Indexed: 01/14/2023]
Abstract
OBJECTIVES Type 1 interferon (IFN) is key to the pathogenesis of SLE, evidenced by the expression of IFN-stimulated genes (ISGs) in most patients, but the clinical utility of serial ISG assessment remains unknown. With the emergence of IFN-blocking drugs, we aimed to examine IFN status in relation to clinical findings longitudinally to provide insights into the value of testing ISG levels over time. METHODS Clinical data and whole blood were collected prospectively on adult patients with SLE from a single tertiary lupus centre. IFN status was measured using a panel of ISGs. FINDINGS 729 samples were analysed from 205 patients. At baseline, 62.9% of patients were IFN high, 30.2% IFN low and 6.8% borderline. 142 patients had multiple samples collected, and 87.3% of these demonstrated stable ISG status over time. In longitudinal follow-up, IFN high patients had higher activity in multiple organ domains and spent less time in Lupus Low Disease Activity State, but IFN score did not correlate with SLE Disease Activity Index in individual patients. In the small subset of patients who had large fluctuations in ISG across the observation period, most had high-dose glucocorticoids that correlated with ISG suppression. However, low-moderate-dose glucocorticoids did not suppress ISG expression. CONCLUSION Although IFN high status is associated with indicators of more severe SLE, in the majority of patients, ISGs are stable across time and do not correlate with disease activity. Changes in ISG expression may be seen with high-dose, but not routine dose, glucocorticoid exposure. These findings suggest baseline but not serial ISG measurement may be of value in the management of SLE.
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Affiliation(s)
- Melissa Northcott
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Sarah Jones
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Rachel Koelmeyer
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Julie Bonin
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Fabien Vincent
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Rangi Kandane-Rathnayake
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Alberta Hoi
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Eric Morand
- Centre for Inflammatory Diseases, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
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Low-cost transcriptional diagnostic to accurately categorize lymphomas in low- and middle-income countries. Blood Adv 2021; 5:2447-2455. [PMID: 33988700 DOI: 10.1182/bloodadvances.2021004347] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/02/2021] [Indexed: 11/20/2022] Open
Abstract
Inadequate diagnostics compromise cancer care across lower- and middle-income countries (LMICs). We hypothesized that an inexpensive gene expression assay using paraffin-embedded biopsy specimens from LMICs could distinguish lymphoma subtypes without pathologist input. We reviewed all biopsy specimens obtained at the Instituto de Cancerología y Hospital Dr. Bernardo Del Valle in Guatemala City between 2006 and 2018 for suspicion of lymphoma. Diagnoses were established based on the World Health Organization classification and then binned into 9 categories: nonmalignant, aggressive B-cell, diffuse large B-cell, follicular, Hodgkin, mantle cell, marginal zone, natural killer/T-cell, or mature T-cell lymphoma. We established a chemical ligation probe-based assay (CLPA) that quantifies expression of 37 genes by capillary electrophoresis with reagent/consumable cost of approximately $10/sample. To assign bins based on gene expression, 13 models were evaluated as candidate base learners, and class probabilities from each model were then used as predictors in an extreme gradient boosting super learner. Cases with call probabilities < 60% were classified as indeterminate. Four (2%) of 194 biopsy specimens in storage <3 years experienced assay failure. Diagnostic samples were divided into 70% (n = 397) training and 30% (n = 163) validation cohorts. Overall accuracy for the validation cohort was 86% (95% confidence interval [CI]: 80%-91%). After excluding 28 (17%) indeterminate calls, accuracy increased to 94% (95% CI: 89%-97%). Concordance was 97% for a set of high-probability calls (n = 37) assayed by CLPA in both the United States and Guatemala. Accuracy for a cohort of relapsed/refractory biopsy specimens (n = 39) was 79% and 88%, respectively, after excluding indeterminate cases. Machine-learning analysis of gene expression accurately classifies paraffin-embedded lymphoma biopsy specimens and could transform diagnosis in LMICs.
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Martin F, Talikka M, Ivanov NV, Haziza C, Hoeng J, Peitsch MC. A Meta-Analysis of the Performance of a Blood-Based Exposure Response Gene Signature Across Clinical Studies on the Tobacco Heating System 2.2 (THS 2.2). Front Pharmacol 2019; 10:198. [PMID: 30971916 PMCID: PMC6444181 DOI: 10.3389/fphar.2019.00198] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 02/18/2019] [Indexed: 11/28/2022] Open
Abstract
As part of emerging tobacco harm reduction strategies, modified risk tobacco products (MRTP) are being developed to offer alternatives that have the potential to reduce the individual risk and population harm compared with smoking cigarettes for adult smokers who want to continue using tobacco and nicotine products. MRTPs are defined as any tobacco products that are distributed for use to reduce harm or the risk of tobacco-related disease associated with commercially marketed tobacco products. One such candidate MRTP is the Tobacco Heating System (THS) 2.2, which does not burn tobacco but instead heats it, thus producing significantly reduced levels of harmful and potentially harmful constituents compared with cigarettes. The clinical assessment of candidate MRTPs requires the development of exposure-response markers to distinguish current smokers from either nonsmokers or former smokers with high specificity and sensitivity. Toward this end, a whole blood-derived gene signature was previously developed and reported. Four randomized, controlled, open-label, three-arm parallel group reduced exposure clinical studies have been conducted with subjects randomized to three arms: switching from cigarettes to THS 2.2, continuous use of cigarettes, or smoking abstinence. These clinical studies had an investigational period of 5 days in confinement, which was followed by an 85-day ambulatory period in two studies. Here we tested the previously developed blood-derived signature on the samples derived from those clinical studies. We showed that in all four studies, the signature scores were reduced consistently in subjects who either stopped smoking or switched to THS 2.2 compared with subjects who continued smoking cigarettes.
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Affiliation(s)
- Florian Martin
- Philip Morris International Research and Development, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Marja Talikka
- Philip Morris International Research and Development, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Nikolai V Ivanov
- Philip Morris International Research and Development, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Christelle Haziza
- Philip Morris International Research and Development, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Julia Hoeng
- Philip Morris International Research and Development, Philip Morris Products S.A., Neuchâtel, Switzerland
| | - Manuel C Peitsch
- Philip Morris International Research and Development, Philip Morris Products S.A., Neuchâtel, Switzerland
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Jacobs AR, Guyon T, Headley V, Nair M, Ricketts W, Gray G, Wong JYC, Chao N, Terbrueggen R. Role of a high throughput biodosimetry test in treatment prioritization after a nuclear incident. Int J Radiat Biol 2018; 96:57-66. [PMID: 30507310 DOI: 10.1080/09553002.2018.1532615] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
PURPOSE We introduce and evaluate a high throughput biodosimetry test system (REDI-Dx) suitable for testing of thousands of potential radiation victims following a mass scale nuclear event caused by detonation of a nuclear device or a nuclear accident, as part of an overall strategy for effective medical management of the crisis. MATERIALS AND METHODS The performance of a high throughput biodosimetry test was evaluated by collecting samples of both non-irradiated presumed healthy donors as well as irradiated subjects collected as part of either cancer treatment regimens or banked from previous studies. The test measures the gene expression of a set of radiation responsive genes based on the DxDirect® genomic platform. The potential diagnostic accuracy of REDI-Dx was evaluated as a predictor of actual dose of radiation. While the REDI-Dx test has been calibrated to provide a quantitative measure of actual absorbed dose, we compared the performance of the REDI-Dx test (sensitivity and specificity) as a qualitative result at the most commonly applied thresholds 2.0 Gy and 6.0 Gy. RESULTS The test demonstrated high specificity and lack of effect of medical conditions. Using receiver operating characteristic (ROC) curve analysis, REDI-Dx was shown to be a good predictor of actual dose for determining treatment category based on either 2.0 or 6.0 Gy, with a 98.5% sensitivity and 90% specificity for 2.0 Gy, and 92% sensitivity and 84% specificity for 6.0 Gy. Results were reproducible between clinical laboratories with an SD of 0.2 Gy for samples ≤2.0 Gy and a CV of 10.3% for samples from 2.0 to 10.0 Gy. CONCLUSIONS Use of a biodosimetry test, like REDI-Dx test system would provide valuable information that would improve the ability to assign patients to the correct treatment category when combined with currently available biodosimetry tools, as compared to the use of existing tools alone. The REDI-Dx biodosimetry test system is for investigational use only in the U.S.A. The performance characteristics of this product have not been established.
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Affiliation(s)
| | | | | | | | | | - Gerry Gray
- ClinReg Consulting Services, Inc, Laguna Beach, CA, USA
| | - Jeffery Y C Wong
- Department of Radiation Oncology, City of Hope National Medical Center and Beckman Research Institute, Duarte, CA, USA
| | - Nelson Chao
- Department of Hematologic Malignancies & Cell Therapy, Duke University, Durham, NC, USA
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