|
1
|
Richard V, Mitsa G, Eshghi A, Chaplygina D, Mohammed Y, Goodlett DR, Zahedi RP, Thevis M, Borchers CH. Establishing Personalized Blood Protein Reference Ranges Using Noninvasive Microsampling and Targeted Proteomics: Implications for Antidoping Strategies. J Proteome Res 2024; 23:1779-1787. [PMID: 38655860 PMCID: PMC11077581 DOI: 10.1021/acs.jproteome.4c00020] [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: 01/11/2024] [Revised: 03/28/2024] [Accepted: 04/05/2024] [Indexed: 04/26/2024]
Abstract
To prevent doping practices in sports, the World Anti-Doping Agency implemented the Athlete Biological Passport (ABP) program, monitoring biological variables over time to indirectly reveal the effects of doping rather than detect the doping substance or the method itself. In the context of this program, a highly multiplexed mass spectrometry-based proteomics assay for 319 peptides corresponding to 250 proteins was developed, including proteins associated with blood-doping practices. "Baseline" expression profiles of these potential biomarkers in capillary blood (dried blood spots (DBS)) were established using multiple reaction monitoring (MRM). Combining DBS microsampling with highly multiplexed MRM assays is the best-suited technology to enhance the effectiveness of the ABP program, as it represents a cost-effective and robust alternative analytical method with high specificity and selectivity of targets in the attomole range. DBS data were collected from 10 healthy athlete volunteers over a period of 140 days (28 time points per participant). These comprehensive findings provide a personalized targeted blood proteome "fingerprint" showcasing that the targeted proteome is unique to an individual and likely comparable to a DNA fingerprint. The results can serve as a baseline for future studies investigating doping-related perturbations.
Collapse
Affiliation(s)
- Vincent
R. Richard
- Segal
Cancer Proteomics Centre, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Quebec H3T 1E2, Canada
| | - Georgia Mitsa
- Segal
Cancer Proteomics Centre, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Quebec H3T 1E2, Canada
- Division
of Experimental Medicine, McGill University, Montréal, Quebec H4A 3J1, Canada
| | - Azad Eshghi
- University
of Victoria-Genome BC Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
| | - Daria Chaplygina
- Segal
Cancer Proteomics Centre, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Quebec H3T 1E2, Canada
| | - Yassene Mohammed
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, Leiden 2333 ZC, The Netherlands
| | - David R. Goodlett
- University
of Victoria-Genome BC Proteomics Centre, Victoria, British Columbia V8Z 7X8, Canada
| | - Rene P. Zahedi
- Manitoba
Centre for Proteomics and Systems Biology, Winnipeg, Manitoba R3E 3P4, Canada
- Department
of Internal Medicine, University of Manitoba, Winnipeg, Manitoba R3E 3P4, Canada
- Department
of Biochemistry and Medical Genetics, University
of Manitoba, Winnipeg, Manitoba R3E 0J9, Canada
- CancerCare
Manitoba Research Institute, Winnipeg, Manitoba R3E 0V9, Canada
| | - Mario Thevis
- Institute
of Biochemistry, Center for Preventive Doping Research, German Sport University Cologne, Cologne 50933, Germany
- European
Monitoring Center for Emerging Doping Agents (EuMoCEDA), Cologne/Bonn 50933, Germany
| | - Christoph H. Borchers
- Segal
Cancer Proteomics Centre, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Quebec H3T 1E2, Canada
- Division
of Experimental Medicine, McGill University, Montréal, Quebec H4A 3J1, Canada
- Gerald
Bronfman Department of Oncology, McGill
University, Montréal, Quebec H4A 3T2, Canada
- Department
of Pathology, McGill University, Montréal, Quebec H4A 3J1, Canada
| |
Collapse
|
|
2
|
Nuguri SM, Hackshaw KV, de Lamo Castellvi S, Bao H, Yao S, Aziz R, Selinger S, Mikulik Z, Yu L, Osuna-Diaz MM, Sebastian KR, Giusti MM, Rodriguez-Saona L. Portable Mid-Infrared Spectroscopy Combined with Chemometrics to Diagnose Fibromyalgia and Other Rheumatologic Syndromes Using Rapid Volumetric Absorptive Microsampling. Molecules 2024; 29:413. [PMID: 38257325 PMCID: PMC10821365 DOI: 10.3390/molecules29020413] [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: 12/13/2023] [Revised: 01/04/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
The diagnostic criteria for fibromyalgia (FM) have relied heavily on subjective reports of experienced symptoms coupled with examination-based evidence of diffuse tenderness due to the lack of reliable biomarkers. Rheumatic disorders that are common causes of chronic pain such as rheumatoid arthritis, systemic lupus erythematosus, osteoarthritis, and chronic low back pain are frequently found to be comorbid with FM. As a result, this can make the diagnosis of FM more challenging. We aim to develop a reliable classification algorithm using unique spectral profiles of portable FT-MIR that can be used as a real-time point-of-care device for the screening of FM. A novel volumetric absorptive microsampling (VAMS) technique ensured sample volume accuracies and minimized the variation introduced due to hematocrit-based bias. Blood samples from 337 subjects with different disorders (179 FM, 158 non-FM) collected with VAMS were analyzed. A semi-permeable membrane filtration approach was used to extract the blood samples, and spectral data were collected using a portable FT-MIR spectrometer. The OPLS-DA algorithm enabled the classification of the spectra into their corresponding classes with 84% accuracy, 83% sensitivity, and 85% specificity. The OPLS-DA regression plot indicated that spectral regions associated with amide bands and amino acids were responsible for discrimination patterns and can be potentially used as spectral biomarkers to differentiate FM and other rheumatic diseases.
Collapse
Affiliation(s)
- Shreya Madhav Nuguri
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (H.B.); (M.M.G.); (L.R.-S.)
| | - Kevin V. Hackshaw
- Department of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA
| | - Silvia de Lamo Castellvi
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (H.B.); (M.M.G.); (L.R.-S.)
- Campus Sescelades, Departament d’Enginyeria Química, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain
| | - Haona Bao
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (H.B.); (M.M.G.); (L.R.-S.)
| | - Siyu Yao
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210019, China;
| | - Rija Aziz
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (S.S.); (M.M.O.-D.); (K.R.S.)
| | - Scott Selinger
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (S.S.); (M.M.O.-D.); (K.R.S.)
| | - Zhanna Mikulik
- Department of Internal Medicine, Division of Immunology and Rheumatology, The Ohio State University, 480 Medical Center Dr, Columbus, OH 43210, USA;
| | - Lianbo Yu
- Center of Biostatistics and Bioinformatics, The Ohio State University, Columbus, OH 43210, USA;
| | - Michelle M. Osuna-Diaz
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (S.S.); (M.M.O.-D.); (K.R.S.)
| | - Katherine R. Sebastian
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (S.S.); (M.M.O.-D.); (K.R.S.)
| | - M. Monica Giusti
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (H.B.); (M.M.G.); (L.R.-S.)
| | - Luis Rodriguez-Saona
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (H.B.); (M.M.G.); (L.R.-S.)
| |
Collapse
|