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Sadik O, Schaffer D, Land W, Xue H, Yazgan I, Kafesçilere AK, Sungur M. A Bayesian Network Concept for Pain Assessment (Preprint). JMIR BIOMEDICAL ENGINEERING 2021. [DOI: 10.2196/35711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Sadik OA, Yazgan I, Eroglu O, Liu P, Olsen ST, Moser AM, Sander PG, Tsiagbe C, Harada K, Bajwa S, Tvetenstrand CD, Yin L, Gerhardstein P. Objective clinical pain analysis using serum cyclooxygenase-2 and inducible nitric oxide synthase in American patients. Clin Chim Acta 2018; 484:278-283. [PMID: 29885320 DOI: 10.1016/j.cca.2018.06.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 04/20/2018] [Accepted: 06/02/2018] [Indexed: 02/01/2023]
Abstract
BACKGROUND Pain is a multidimensional condition of multiple origins. Determining both intensity and underlying cause are critical for effective management. Utilization of painkillers does not follow any guidelines relying on biomarkers, which effectively eliminates objective treatment. The aim of this study was to evaluate the use of serum cyclooxygenase-2 (COX-2) and inducible nitric oxide synthase (iNOS) as pain biomarkers. This work could significantly advance the diagnosis and treatment of pain. METHODS We assessed the potential utility of serum COX-2 and iNOS as objective measures of pain in a sample of American patients. Pain was scaled between level 0-5 in accordance with the level reported by the patients. Blood samples were collected from 102 patients in the emergency room. Sandwich ELISA was used to determine the COX-2 and iNOS levels in the blood serum while statistical analysis was performed using Pearson product-moment correlation coefficients, Regression and Receiver Operating Characteristics (ROC) analyses. The biomarker results were also compared with self-reports of pain by the patients using conventional pain ratings and patients were asked to report the cause of the pain. Pain levels were clustered into four groups as 0 [self-reported 0], 1 [self-reported as 1], 2 [self-reported as 2 and 3] and 3 [self-reported as 4 and 5]. Co-expression of COX-2 and iNOS could significantly alter pain development and its sensitization. Therefore, iNOS dependent COX-2 levels were employed as categorized level. RESULTS Self-reported pain levels did not show a correlation with the serum level of COX-2 and iNOS. The lack of correlation is attributed to multiple reasons including patients' intake of painkillers prior to participation, painkiller intake habit, chronic diseases, and subjectivity of self-reported pain. Increased serum COX-2 levels were reported in relation to the subtypes of these health issues. Further, 83% of the patients who reported pain also showed the presence of COX-2 in serum, while only 53% of the patients showed the presence of iNOS in serum. Moderate relation was found between the clustered pain level and categorized COX-2 and iNOS- levels. CONCLUSIONS The findings support the requirement of further studies to use COX-2 and iNOS as prognostic biomarkers for objective quantification of pain at the clinical level.
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Affiliation(s)
- Omowunmi A Sadik
- Department of Chemistry, Center for Research in Advanced Sensing Technologies & Environmental Sustainability (CREATES), SUNY-Binghamton, Binghamton, NY, United States.
| | - Idris Yazgan
- Department of Chemistry, Center for Research in Advanced Sensing Technologies & Environmental Sustainability (CREATES), SUNY-Binghamton, Binghamton, NY, United States
| | - Orhan Eroglu
- Electrical and Computer Engineering Department, Mississippi State University, Starkville, MS, United States
| | - Peng Liu
- Department of Computer Science, Binghamton University-SUNY, Binghamton, NY, United States
| | - Sarah T Olsen
- Department of Psychology, Binghamton University-SUNY, Binghamton, NY, United States
| | - Alecia M Moser
- Department of Psychology, Binghamton University-SUNY, Binghamton, NY, United States
| | - Phillip G Sander
- Department of Chemistry, Center for Research in Advanced Sensing Technologies & Environmental Sustainability (CREATES), SUNY-Binghamton, Binghamton, NY, United States
| | - Courage Tsiagbe
- Department of Chemistry, Center for Research in Advanced Sensing Technologies & Environmental Sustainability (CREATES), SUNY-Binghamton, Binghamton, NY, United States
| | - Kei Harada
- Department of Chemistry, Center for Research in Advanced Sensing Technologies & Environmental Sustainability (CREATES), SUNY-Binghamton, Binghamton, NY, United States
| | - Saeed Bajwa
- SUNY Upstate Medical University at Syracuse and Clinical Campus at Binghamton, United States; United Health Services Hospital, Johnson City, NY, United States
| | | | - Lijun Yin
- Department of Computer Science, Binghamton University-SUNY, Binghamton, NY, United States
| | - Peter Gerhardstein
- Department of Psychology, Binghamton University-SUNY, Binghamton, NY, United States
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Zhang H, Fan J, Wang K, Li J, Wang C, Nie Y, Jiang T, Mu H, Peng X, Jiang K. Highly Sensitive Naphthalene-Based Two-Photon Fluorescent Probe for in Situ Real-Time Bioimaging of Ultratrace Cyclooxygenase-2 in Living Biosystems. Anal Chem 2014; 86:9131-8. [DOI: 10.1021/ac501944y] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Hua Zhang
- School
of Chemistry and Chemical Engineering, Henan Normal University, 46
Jianshe Road, Muye Zone, Xinxiang 453007, P.R. China
| | - Jiangli Fan
- State
Key Laboratory of Fine Chemicals, Dalian University of Technology, 2 Linggong Road, Hi-Tech Zone, Dalian 116024, P.R. China
| | - Kui Wang
- School
of Chemistry and Chemical Engineering, Henan Normal University, 46
Jianshe Road, Muye Zone, Xinxiang 453007, P.R. China
| | - Jing Li
- School
of Chemistry and Chemical Engineering, Henan Normal University, 46
Jianshe Road, Muye Zone, Xinxiang 453007, P.R. China
| | - Caixia Wang
- School
of Chemistry and Chemical Engineering, Henan Normal University, 46
Jianshe Road, Muye Zone, Xinxiang 453007, P.R. China
| | - Yamin Nie
- School
of Chemistry and Chemical Engineering, Henan Normal University, 46
Jianshe Road, Muye Zone, Xinxiang 453007, P.R. China
| | - Tao Jiang
- School
of Chemistry and Chemical Engineering, Henan Normal University, 46
Jianshe Road, Muye Zone, Xinxiang 453007, P.R. China
| | - Huiying Mu
- State
Key Laboratory of Fine Chemicals, Dalian University of Technology, 2 Linggong Road, Hi-Tech Zone, Dalian 116024, P.R. China
| | - Xiaojun Peng
- State
Key Laboratory of Fine Chemicals, Dalian University of Technology, 2 Linggong Road, Hi-Tech Zone, Dalian 116024, P.R. China
| | - Kai Jiang
- School
of Chemistry and Chemical Engineering, Henan Normal University, 46
Jianshe Road, Muye Zone, Xinxiang 453007, P.R. China
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