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Tang H, Sun G, Xu Y, Men S, Jiang W, Wang C. Simultaneous determination of inflammatory factors SAA and LTF based on stable element labeling and inductively coupled plasma mass spectrometry to aid in the diagnosis of infection. J Immunol Methods 2024; 528:113666. [PMID: 38574805 DOI: 10.1016/j.jim.2024.113666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 03/31/2024] [Accepted: 04/01/2024] [Indexed: 04/06/2024]
Abstract
OBJECTIVE The clinical value of Serum amyloid A (SAA) and Lactoferrin (LTF) has received significant attention, but their detection methods are inadequate, which limits their application. This study aims to develop a dual detection method based on stable element labeling strategies and inductively coupled plasma mass spectrometry (ICP-MS) for SAA/LTF and to assess whether it can be widely used in clinical practice. METHODS A duplex immunoassay system based on sandwich method was constructed. After optimization, methodological evaluation was performed with the guidelines of Clinical Laboratory Standards Institute (CLSI). Finally, 131 plasma samples were collected to analyze whether the new method is suitable for clinical detection. RESULTS The LoB, LLoQ, ULoQ, and linear range of the assay were 1.09 ng/mL, 3 ng/mL, 1500 ng/mL, 3-1500 ng/mL for SAA and 0.85 ng/mL, 2 ng/mL, 1200 ng/mL, 2-1200 ng/mL for LTF respectively. The recovery rates were 95.01% to 106.26%, the intra-batch precision of low, intermediate, and high-level samples was <8%, and the inter-batch of them was <11%, the deviation of interference test results was less than±10%. The Area Under the Curve (AUC) was 0.9809 for SAA, 0.8599 for LTF, and 0.9986 for combination. CONCLUSION The quantitative duplex immunoassay for SAA/LTF has high accuracy, good precision, and high specificity, which meets the clinical testing requirements and can be widely used in clinical practice.
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Affiliation(s)
- Hairong Tang
- Department of Laboratory Medicine, the first Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing 100853, China
| | - Gongwei Sun
- Beijing Key Laboratory for Microanalytical Methods and Instrumentation, Department of Chemistry, Tsinghua University, Shuangqing Road 30, Haidian District, Beijing 100084, China
| | - Ying Xu
- Department of Laboratory Medicine, the first Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing 100853, China
| | - Shasha Men
- Department of Laboratory Medicine, the first Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing 100853, China
| | - Wencan Jiang
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital and Capital Medical University, South Fourth Ring West Road 119, Fengtai District, Beijing 100070, China.
| | - Chengbin Wang
- Department of Laboratory Medicine, the first Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing 100853, China.
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Thanh TT, Casals-Pascual C, Ny NTH, Ngoc NM, Geskus R, Nhu LNT, Hong NTT, Duc DT, Thu DDA, Uyen PN, Ngoc VB, Chau LTM, Quynh VX, Hanh NHH, Thuong NTT, Diem LT, Hanh BTB, Hang VTT, Oanh PKN, Fischer R, Phu NH, Nghia HDT, Chau NVV, Hoa NT, Kessler BM, Thwaites G, Tan LV. Value of lipocalin 2 as a potential biomarker for bacterial meningitis. Clin Microbiol Infect 2020; 27:S1198-743X(20)30408-0. [PMID: 32659386 PMCID: PMC8128987 DOI: 10.1016/j.cmi.2020.07.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 06/30/2020] [Accepted: 07/04/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVES Central nervous system (CNS) infections are common causes of morbidity and mortality worldwide. We aimed to discover protein biomarkers that could rapidly and accurately identify the likely cause of the infections, essential for clinical management and improving outcome. METHODS We applied liquid chromatography tandem mass spectrometry on 45 cerebrospinal fluid (CSF) samples from a cohort of adults with and without CNS infections to discover potential diagnostic biomarkers. We then validated the diagnostic performance of a selected biomarker candidate in an independent cohort of 364 consecutively treated adults with CNS infections admitted to a referral hospital in Vietnam. RESULTS In the discovery cohort, we identified lipocalin 2 (LCN2) as a potential biomarker of bacterial meningitis (BM) other than tuberculous meningitis. The analysis of the validation cohort showed that LCN2 could discriminate BM from other CNS infections (including tuberculous meningitis, cryptococcal meningitis and virus/antibody-mediated encephalitis), with sensitivity of 0.88 (95% confident interval (CI), 0.77-0.94), specificity of 0.91 (95% CI, 0.88-0.94) and diagnostic odds ratio of 73.8 (95% CI, 31.8-171.4). LCN2 outperformed other CSF markers (leukocytes, glucose, protein and lactate) commonly used in routine care worldwide. The combination of LCN2, CSF leukocytes, glucose, protein and lactate resulted in the highest diagnostic performance for BM (area under the receiver operating characteristics curve, 0.96; 95% CI, 0.93-0.99). Data are available via ProteomeXchange with identifier PXD020510. CONCLUSIONS LCN2 is a sensitive and specific biomarker for discriminating BM from a broad spectrum of other CNS infections. A prospective study is needed to assess the diagnostic utility of LCN2 in the diagnosis and management of CNS infections.
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Affiliation(s)
- T T Thanh
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - C Casals-Pascual
- Department of Clinical Microbiology, Hospital Clínic de Barcelona, CDB, Barcelona, Spain; ISGlobal Barcelona, Institute for Global Health, Barcelona, Spain
| | - N T H Ny
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - N M Ngoc
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam
| | - R Geskus
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, Oxford, United Kingdom
| | - L N T Nhu
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - N T T Hong
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - D T Duc
- Department of Infectious Diseases, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Viet Nam
| | - D D A Thu
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - P N Uyen
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - V B Ngoc
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - L T M Chau
- Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam
| | - V X Quynh
- Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam
| | - N H H Hanh
- Department of Medicine, Vietnam National University, Ho Chi Minh City, Viet Nam
| | - N T T Thuong
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - L T Diem
- Department of Medicine, Vietnam National University, Ho Chi Minh City, Viet Nam
| | - B T B Hanh
- Department of Infectious Diseases, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Viet Nam
| | - V T T Hang
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - P K N Oanh
- Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam
| | - R Fischer
- Target Discovery Institute, Oxford, United Kingdom; University of Oxford, Oxford, United Kingdom
| | - N H Phu
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Department of Medicine, Vietnam National University, Ho Chi Minh City, Viet Nam
| | - H D T Nghia
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Department of Infectious Diseases, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Viet Nam; Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam
| | - N V V Chau
- Hospital for Tropical Diseases, Ho Chi Minh City, Viet Nam
| | - N T Hoa
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam
| | - B M Kessler
- Target Discovery Institute, Oxford, United Kingdom; University of Oxford, Oxford, United Kingdom
| | - G Thwaites
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, Oxford, United Kingdom
| | - L V Tan
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam.
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Alharbi RA. Proteomics approach and techniques in identification of reliable biomarkers for diseases. Saudi J Biol Sci 2020; 27:968-974. [PMID: 32127776 PMCID: PMC7042613 DOI: 10.1016/j.sjbs.2020.01.020] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Revised: 01/12/2020] [Accepted: 01/16/2020] [Indexed: 11/28/2022] Open
Abstract
Biomarkers, also called biological markers, are indicators to identify a biological case or situation as well as detecting any presence of biological activities and processes. Proteins are considered as a type of biomarkers based on their characteristics. Therefore, proteomics approach is one of the most promising approaches in this field. The purpose of this review is to summarize the use of proteomics approach and techniques to identify proteins as biomarkers for different diseases. This review was obtained by searching in a computerized database. So, different researches and studies that used proteomics approach to identify different biomarkers for different diseases were reviewed. Also, techniques of proteomics that are used to identify proteins as biomarkers were collected. Techniques and methods of proteomics approach are used for the identification of proteins' activities and presence as biomarkers for different types of diseases from different types of samples. There are three essential steps of this approach including: extraction and separation of proteins, identification of proteins, and verification of proteins. Finally, clinical trials for new discovered biomarker or undefined biomarker would be on.
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Affiliation(s)
- Raed Abdullah Alharbi
- Department of Public Health, College of Applied Medical Sciences, Majmaah University, PO Box 7921, Majmaah 15341, Saudi Arabia
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Cadmium tolerance pathway in Anopheles gambiae senso stricto. Acta Trop 2019; 198:105033. [PMID: 31121147 DOI: 10.1016/j.actatropica.2019.05.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Revised: 05/16/2019] [Accepted: 05/18/2019] [Indexed: 02/05/2023]
Abstract
Cadmium is one of the widely used heavy metals (HM) in commercial and industrial products and contributes to environmental contamination in an urban setting. In our previous studies, we established that An. gambiae sensu stricto, a vector of malaria, had adapted to HM pollutants in nature despite their proclivity for unpolluted aquatic habitats. We further demonstrated that heavy metal tolerance adaptation process impacts a biological cost to the fitness of the mosquito and potentially involves the induction of specific HM-responsive transcripts and proteins. Here we interrogated differential proteomic profiles of the cadmium tolerant vs. naïve strains of An. gambiae to shed light on proteomic processes that underpinned biological cost to fitness. We identified a total of 1067 larval proteins and observed significant down-regulation of proteins involved in larval immune responses, energy metabolism, antioxidant enzymes, protein synthesis, and proton transport. Our results suggest that mosquitoes can adjust their biological program through proteome changes to counter HM pollution. Since our study was done in controlled laboratory settings, we acknowledge this may not wholly represent the conditions HM polluted environments. Nevertheless, mosquitoes deploying this strategy have the potential of creating an urban enclave for breeding and thrive and become agents of sporadic malaria epidemics.
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