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Oyaert M, De Bruyne S, Van Camp C, Van de Caveye I, Delanghe J. Lipid droplets may interfere with urinary red blood cell and crystal counts by urinary flow cytometry. Clin Chem Lab Med 2024; 62:e65-e67. [PMID: 37650386 DOI: 10.1515/cclm-2023-0783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 08/20/2023] [Indexed: 09/01/2023]
Affiliation(s)
- Matthijs Oyaert
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Sander De Bruyne
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | | | | | - Joris Delanghe
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
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2
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Proost L, Lambrecht S, Hofmans M, De Vriendt C, Speeckaert M, Bonroy C, Denys B, De Bruyne S. Flow cytometry interference in patients treated with tafasitamab: Unraveling the diagnostic maze. Hemasphere 2024; 8:e39. [PMID: 38434528 PMCID: PMC10878194 DOI: 10.1002/hem3.39] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 12/08/2023] [Indexed: 03/05/2024] Open
Affiliation(s)
- Lisa Proost
- Department of Laboratory MedicineGhent University HospitalGhentBelgium
| | - Stijn Lambrecht
- Department of Laboratory MedicineGhent University HospitalGhentBelgium
| | - Mattias Hofmans
- Department of Laboratory MedicineGhent University HospitalGhentBelgium
| | - Ciel De Vriendt
- Department of HematologyGhent University HospitalGhentBelgium
| | | | - Carolien Bonroy
- Department of Laboratory MedicineGhent University HospitalGhentBelgium
| | - Barbara Denys
- Department of Laboratory MedicineGhent University HospitalGhentBelgium
| | - Sander De Bruyne
- Department of Laboratory MedicineGhent University HospitalGhentBelgium
- Department of Transfusion MedicineGhent University HospitalGhentBelgium
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3
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De Bruyne S, De Kesel P, Oyaert M. Applications of Artificial Intelligence in Urinalysis: Is the Future Already Here? Clin Chem 2023; 69:1348-1360. [PMID: 37708293 DOI: 10.1093/clinchem/hvad136] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/16/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Artificial intelligence (AI) has emerged as a promising and transformative tool in the field of urinalysis, offering substantial potential for advancements in disease diagnosis and the development of predictive models for monitoring medical treatment responses. CONTENT Through an extensive examination of relevant literature, this narrative review illustrates the significance and applicability of AI models across the diverse application area of urinalysis. It encompasses automated urine test strip and sediment analysis, urinary tract infection screening, and the interpretation of complex biochemical signatures in urine, including the utilization of cutting-edge techniques such as mass spectrometry and molecular-based profiles. SUMMARY Retrospective studies consistently demonstrate good performance of AI models in urinalysis, showcasing their potential to revolutionize clinical practice. However, to comprehensively evaluate the real clinical value and efficacy of AI models, large-scale prospective studies are essential. Such studies hold the potential to enhance diagnostic accuracy, improve patient outcomes, and optimize medical treatment strategies. By bridging the gap between research and clinical implementation, AI can reshape the landscape of urinalysis, paving the way for more personalized and effective patient care.
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Affiliation(s)
- Sander De Bruyne
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Pieter De Kesel
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Matthijs Oyaert
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
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Delrue C, Speeckaert R, Oyaert M, Kerre T, Rottey S, Coopman R, Huvenne W, De Bruyne S, Speeckaert MM. Infrared Spectroscopy: A New Frontier in Hematological Disease Diagnosis. Int J Mol Sci 2023; 24:17007. [PMID: 38069330 PMCID: PMC10707114 DOI: 10.3390/ijms242317007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 11/28/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
Hematological diseases, due to their complex nature and diverse manifestations, pose significant diagnostic challenges in healthcare. The pressing need for early and accurate diagnosis has driven the exploration of novel diagnostic techniques. Infrared (IR) spectroscopy, renowned for its noninvasive, rapid, and cost-effective characteristics, has emerged as a promising adjunct in hematological diagnostics. This review delves into the transformative role of IR spectroscopy and highlights its applications in detecting and diagnosing various blood-related ailments. We discuss groundbreaking research findings and real-world applications while providing a balanced view of the potential and limitations of the technique. By integrating advanced technology with clinical needs, we offer insights into how IR spectroscopy may herald a new era of hematological disease diagnosis.
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Affiliation(s)
- Charlotte Delrue
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium;
| | | | - Matthijs Oyaert
- Department of Clinical Biology, Ghent University Hospital, 9000 Ghent, Belgium; (M.O.); (S.D.B.)
| | - Tessa Kerre
- Department of Hematology, Ghent University Hospital, 9000 Ghent, Belgium;
| | - Sylvie Rottey
- Department of Medical Oncology, Ghent University Hospital, 9000 Ghent, Belgium;
| | - Renaat Coopman
- Department of Oral, Maxillofacial and Plastic Surgery, Ghent University Hospital, 9000 Ghent, Belgium;
| | - Wouter Huvenne
- Department of Head and Neck Surgery, Ghent University Hospital, 9000 Ghent, Belgium;
| | - Sander De Bruyne
- Department of Clinical Biology, Ghent University Hospital, 9000 Ghent, Belgium; (M.O.); (S.D.B.)
| | - Marijn M. Speeckaert
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium;
- Research Foundation-Flanders (FWO), 1000 Brussels, Belgium
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5
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De Bruyne S, Delrue C, Speeckaert M. The underestimated potential of vibrational spectroscopy in clinical laboratory medicine: a translational gap to close. Clin Chem Lab Med 2023; 61:e227-e228. [PMID: 37199086 DOI: 10.1515/cclm-2023-0361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 04/27/2023] [Indexed: 05/19/2023]
Affiliation(s)
- Sander De Bruyne
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Charlotte Delrue
- Department of Nephrology, Ghent University Hospital, Ghent, Belgium
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Thielemans R, Speeckaert R, Delrue C, De Bruyne S, Oyaert M, Speeckaert MM. Unveiling the Hidden Power of Uromodulin: A Promising Potential Biomarker for Kidney Diseases. Diagnostics (Basel) 2023; 13:3077. [PMID: 37835820 PMCID: PMC10572911 DOI: 10.3390/diagnostics13193077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
Uromodulin, also known as Tamm-Horsfall protein, represents the predominant urinary protein in healthy individuals. Over the years, studies have revealed compelling associations between urinary and serum concentrations of uromodulin and various parameters, encompassing kidney function, graft survival, cardiovascular disease, glucose metabolism, and overall mortality. Consequently, there has been a growing interest in uromodulin as a novel and effective biomarker with potential applications in diverse clinical settings. Reduced urinary uromodulin levels have been linked to an elevated risk of acute kidney injury (AKI) following cardiac surgery. In the context of chronic kidney disease (CKD) of different etiologies, urinary uromodulin levels tend to decrease significantly and are strongly correlated with variations in estimated glomerular filtration rate. The presence of uromodulin in the serum, attributable to basolateral epithelial cell leakage in the thick ascending limb, has been observed. This serum uromodulin level is closely associated with kidney function and histological severity, suggesting its potential as a biomarker capable of reflecting disease severity across a spectrum of kidney disorders. The UMOD gene has emerged as a prominent locus linked to kidney function parameters and CKD risk within the general population. Extensive research in multiple disciplines has underscored the biological significance of the top UMOD gene variants, which have also been associated with hypertension and kidney stones, thus highlighting the diverse and significant impact of uromodulin on kidney-related conditions. UMOD gene mutations are implicated in uromodulin-associated kidney disease, while polymorphisms in the UMOD gene show a significant association with CKD. In conclusion, uromodulin holds great promise as an informative biomarker, providing valuable insights into kidney function and disease progression in various clinical scenarios. The identification of UMOD gene variants further strengthens its relevance as a potential target for better understanding kidney-related pathologies and devising novel therapeutic strategies. Future investigations into the roles of uromodulin and regulatory mechanisms are likely to yield even more profound implications for kidney disease diagnosis, risk assessment, and management.
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Affiliation(s)
- Raïsa Thielemans
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (R.T.); (C.D.)
| | | | - Charlotte Delrue
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (R.T.); (C.D.)
| | - Sander De Bruyne
- Department of Laboratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium; (S.D.B.); (M.O.)
| | - Matthijs Oyaert
- Department of Laboratory Medicine, Ghent University Hospital, 9000 Ghent, Belgium; (S.D.B.); (M.O.)
| | - Marijn M. Speeckaert
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (R.T.); (C.D.)
- Research Foundation Flanders, 1000 Brussels, Belgium
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Brochier A, Hofmans M, Lambrecht S, Breughe P, Denys B, De Bruyne S, Buysse M, Vantilborgh A, Bonroy C. The added value of automated HPC count: detecting clinically important interferences on the flow cytometric CD34+ cell count. Clin Chem Lab Med 2023; 0:cclm-2023-0601. [PMID: 37725405 DOI: 10.1515/cclm-2023-0601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 09/06/2023] [Indexed: 09/21/2023]
Affiliation(s)
- Alice Brochier
- Hematology Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Mattias Hofmans
- Hematology Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Stijn Lambrecht
- Hematology Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Pauline Breughe
- Hematology Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Barbara Denys
- Hematology Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Sander De Bruyne
- Hematology Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Malicorne Buysse
- Hematology Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Anna Vantilborgh
- Department of Hematology, Ghent University Hospital, Ghent, Belgium
| | - Carolien Bonroy
- Hematology Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
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Cadamuro J, Cabitza F, Debeljak Z, De Bruyne S, Frans G, Perez SM, Ozdemir H, Tolios A, Carobene A, Padoan A. Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Artificial Intelligence (WG-AI). Clin Chem Lab Med 2023; 61:1158-1166. [PMID: 37083166 DOI: 10.1515/cclm-2023-0355] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 04/12/2023] [Indexed: 04/22/2023]
Abstract
OBJECTIVES ChatGPT, a tool based on natural language processing (NLP), is on everyone's mind, and several potential applications in healthcare have been already proposed. However, since the ability of this tool to interpret laboratory test results has not yet been tested, the EFLM Working group on Artificial Intelligence (WG-AI) has set itself the task of closing this gap with a systematic approach. METHODS WG-AI members generated 10 simulated laboratory reports of common parameters, which were then passed to ChatGPT for interpretation, according to reference intervals (RI) and units, using an optimized prompt. The results were subsequently evaluated independently by all WG-AI members with respect to relevance, correctness, helpfulness and safety. RESULTS ChatGPT recognized all laboratory tests, it could detect if they deviated from the RI and gave a test-by-test as well as an overall interpretation. The interpretations were rather superficial, not always correct, and, only in some cases, judged coherently. The magnitude of the deviation from the RI seldom plays a role in the interpretation of laboratory tests, and artificial intelligence (AI) did not make any meaningful suggestion regarding follow-up diagnostics or further procedures in general. CONCLUSIONS ChatGPT in its current form, being not specifically trained on medical data or laboratory data in particular, may only be considered a tool capable of interpreting a laboratory report on a test-by-test basis at best, but not on the interpretation of an overall diagnostic picture. Future generations of similar AIs with medical ground truth training data might surely revolutionize current processes in healthcare, despite this implementation is not ready yet.
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Affiliation(s)
- Janne Cadamuro
- Department of Laboratory Medicine, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Federico Cabitza
- DISCo, Università degli Studi di Milano-Bicocca, Milano, Italy
- IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Zeljko Debeljak
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
- Clinical Institute of Laboratory Diagnostics, University Hospital Center Osijek, Osijek, Croatia
| | - Sander De Bruyne
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Glynis Frans
- Department of Laboratory Medicine, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Salomon Martin Perez
- Unidad de Bioquímica Clínica, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Habib Ozdemir
- Department of Medical Biochemistry, Faculty of Medicine, Manisa Celal Bayar University, Manisa, Türkiye
| | - Alexander Tolios
- Department of Transfusion Medicine and Cell Therapy, Medical University of Vienna, Vienna, Austria
| | - Anna Carobene
- IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Padoan
- Department of Medicine (DIMED), University of Padova, Padova, Italy
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9
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Delrue C, De Bruyne S, Speeckaert MM. Unlocking the Diagnostic Potential of Saliva: A Comprehensive Review of Infrared Spectroscopy and Its Applications in Salivary Analysis. J Pers Med 2023; 13:907. [PMID: 37373896 DOI: 10.3390/jpm13060907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/20/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
Infrared (IR) spectroscopy is a noninvasive and rapid analytical technique that provides information on the chemical composition, structure, and conformation of biomolecules in saliva. This technique has been widely used to analyze salivary biomolecules, owing to its label-free advantages. Saliva contains a complex mixture of biomolecules including water, electrolytes, lipids, carbohydrates, proteins, and nucleic acids which are potential biomarkers for several diseases. IR spectroscopy has shown great promise for the diagnosis and monitoring of diseases such as dental caries, periodontitis, infectious diseases, cancer, diabetes mellitus, and chronic kidney disease, as well as for drug monitoring. Recent advancements in IR spectroscopy, such as Fourier-transform infrared (FTIR) spectroscopy and attenuated total reflectance (ATR) spectroscopy, have further enhanced its utility in salivary analysis. FTIR spectroscopy enables the collection of a complete IR spectrum of the sample, whereas ATR spectroscopy enables the analysis of samples in their native form, without the need for sample preparation. With the development of standardized protocols for sample collection and analysis and further advancements in IR spectroscopy, the potential for salivary diagnostics using IR spectroscopy is vast.
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Affiliation(s)
- Charlotte Delrue
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Sander De Bruyne
- Department of Clinical Biology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Marijn M Speeckaert
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium
- Research Foundation-Flanders (FWO), 1000 Brussels, Belgium
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10
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Delrue C, De Bruyne S, Speeckaert MM. The Potential Use of Near- and Mid-Infrared Spectroscopy in Kidney Diseases. Int J Mol Sci 2023; 24:ijms24076740. [PMID: 37047712 PMCID: PMC10094824 DOI: 10.3390/ijms24076740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/25/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023] Open
Abstract
Traditional renal biomarkers such as serum creatinine and albuminuria/proteinuria are rather insensitive since they change later in the course of the disease. In order to determine the extent and type of kidney injury, as well as to administer the proper therapy and enhance patient management, new techniques for the detection of deterioration of the kidney function are urgently needed. Infrared spectroscopy is a label-free and non-destructive technique having the potential to be a vital tool for quick and inexpensive routine clinical diagnosis of kidney disorders. The aim of this review is to provide an overview of near- and mid-infrared spectroscopy applications in patients with acute kidney injury and chronic kidney disease (e.g., diabetic nephropathy and glomerulonephritis).
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Affiliation(s)
- Charlotte Delrue
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium
| | - Sander De Bruyne
- Department of Diagnostic Sciences, Ghent University Hospital, 9000 Ghent, Belgium
| | - Marijn M. Speeckaert
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium
- Research Foundation-Flanders (FWO), 1000 Brussels, Belgium
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11
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De Bruyne S, Van Landeghem S, Schauwvlieghe A, Noens L. Life-threatening autoimmune hemolytic anemia following mRNA COVID-19 vaccination: don’t be too prudent with the red gold. Clin Chem Lab Med 2022; 60:e125-e128. [DOI: 10.1515/cclm-2022-0118] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/04/2022] [Indexed: 12/14/2022]
Affiliation(s)
- Sander De Bruyne
- Department of Laboratory Medicine , Ghent University Hospital , Ghent , Belgium
- Department of Transfusion Medicine , Ghent University Hospital , Ghent , Belgium
| | | | | | - Lucien Noens
- Department of Transfusion Medicine , Ghent University Hospital , Ghent , Belgium
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12
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De Bruyne S, Degandt S, Ghys T. Rapid onset of anaemia in a patient with alcoholic cirrhosis: The clue might be in the smear. eJHaem 2021; 2:864-865. [PMID: 35845208 PMCID: PMC9176065 DOI: 10.1002/jha2.320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 10/04/2021] [Accepted: 10/05/2021] [Indexed: 11/29/2022]
Affiliation(s)
| | - Simon Degandt
- Department of Laboratory Medicine AZ Sint‐Lucas Ghent Belgium
| | - Timothy Ghys
- Department of Laboratory Medicine AZ Sint‐Lucas Ghent Belgium
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13
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De Bruyne S, Ommeslag D, Himpe J, Delanghe J, Van Den Abeele AM. On the nature of peculiar expectorated bronchial casts: Can infrared spectroscopy enlighten us? Clin Chim Acta 2021; 523:31-34. [PMID: 34481761 DOI: 10.1016/j.cca.2021.08.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 08/26/2021] [Accepted: 08/31/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Bronchial casts can be defined as gelatinous structures originating from the airways. While several cases of bronchial cast formation have been reported in literature, unravelling its nature is often a difficult task. METHODS In this case report, we applied infrared (IR) spectroscopy on a bronchial cast fragment originating from a patient who suffered from a 2-y history of frequent coughing accompanied by the occasional expectoration of viscous and thick white-yellow bronchial-like structures. RESULTS Based on a markedly high lipid to protein ratio and presence of long-chain fatty acids, the resulting IR spectrum appeared to be very suggestive for chyloptysis. CONCLUSION Taking into account the patient's prior history of radiation therapy for a lymphoma complicated by congestive heart failure, we hypothesized that an impairment of adequate lymphatic flow into the venous system due to a combination of lymphatic obstruction and high venous pressures is the most plausible culprit.
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Affiliation(s)
- Sander De Bruyne
- Department of Laboratory Medicine, AZ Sint-Lucas, Ghent, Belgium.
| | - Dirk Ommeslag
- Department of Pulmonary and Infectious Diseases, AZ Sint-Lucas, Ghent, Belgium
| | - Jonas Himpe
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Joris Delanghe
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
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14
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De Bruyne S, Steel E, Petrick M, Denys B, Vandepoele K, Van Roy N, Degandt S, Ghys T, Louagie H. Development of chronic myeloid leukemia in a patient previously diagnosed with a JAK2-positive myeloproliferative neoplasm. Clin Chem Lab Med 2021; 59:e392-e394. [PMID: 33964201 DOI: 10.1515/cclm-2020-1884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 04/30/2021] [Indexed: 11/15/2022]
Affiliation(s)
- Sander De Bruyne
- Department of Laboratory Medicine, AZ Sint-Lucas, Ghent, Belgium
| | - Eva Steel
- Department of Haematology, AZ Sint-Lucas, Ghent, Belgium
| | - Marjan Petrick
- Department of Haematology, AZ Sint-Lucas, Ghent, Belgium
| | - Barbara Denys
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Karl Vandepoele
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Nadine Van Roy
- Department of Biomolecular Medicine, Ghent University Hospital, Ghent, Belgium
| | - Simon Degandt
- Department of Laboratory Medicine, AZ Sint-Lucas, Ghent, Belgium
| | - Timothy Ghys
- Department of Laboratory Medicine, AZ Sint-Lucas, Ghent, Belgium
| | - Henk Louagie
- Department of Laboratory Medicine, AZ Sint-Lucas, Ghent, Belgium
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15
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De Bruyne S. Comment on "Computer algorithm can match physicians' decisions about blood transfusions". J Transl Med 2021; 19:175. [PMID: 33910587 PMCID: PMC8082825 DOI: 10.1186/s12967-021-02841-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 04/16/2021] [Indexed: 12/25/2022] Open
Affiliation(s)
- Sander De Bruyne
- Department of Diagnostic Sciences, Ghent University, 9000, Ghent, Belgium.
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16
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De Bruyne S, Speeckaert MM, Van Biesen W, Delanghe JR. Recent evolutions of machine learning applications in clinical laboratory medicine. Crit Rev Clin Lab Sci 2020; 58:131-152. [PMID: 33045173 DOI: 10.1080/10408363.2020.1828811] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Machine learning (ML) is gaining increased interest in clinical laboratory medicine, mainly triggered by the decreased cost of generating and storing data using laboratory automation and computational power, and the widespread accessibility of open source tools. Nevertheless, only a handful of ML-based products are currently commercially available for routine clinical laboratory practice. In this review, we start with an introduction to ML by providing an overview of the ML landscape, its general workflow, and the most commonly used algorithms for clinical laboratory applications. Furthermore, we aim to illustrate recent evolutions (2018 to mid-2020) of the techniques used in the clinical laboratory setting and discuss the associated challenges and opportunities. In the field of clinical chemistry, the reviewed applications of ML algorithms include quality review of lab results, automated urine sediment analysis, disease or outcome prediction from routine laboratory parameters, and interpretation of complex biochemical data. In the hematology subdiscipline, we discuss the concepts of automated blood film reporting and malaria diagnosis. At last, we handle a broad range of clinical microbiology applications, such as the reduction of diagnostic workload by laboratory automation, the detection and identification of clinically relevant microorganisms, and the detection of antimicrobial resistance.
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Affiliation(s)
- Sander De Bruyne
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | | | - Wim Van Biesen
- Department of Nephrology, Ghent University Hospital, Ghent, Belgium
| | - Joris R Delanghe
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
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De Bruyne S, Van den Broecke C, Vrielinck H, Khelifi S, De Wever O, Bracke K, Huizing M, Boston N, Himpe J, Speeckaert M, Vral A, Van Dorpe J, Van Aken E, Delanghe JR. Fructosamine-3-Kinase as a Potential Treatment Option for Age-Related Macular Degeneration. J Clin Med 2020; 9:jcm9092869. [PMID: 32899850 PMCID: PMC7565857 DOI: 10.3390/jcm9092869] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 08/22/2020] [Accepted: 09/03/2020] [Indexed: 12/15/2022] Open
Abstract
Age-related macular degeneration is the leading cause of blindness in the developed world. Since advanced glycation end products (AGEs) are implicated in the pathogenesis of AMD through various lines of evidence, we investigated the potential of fructosamine-3-kinase (FN3K) in the disruption of retinal AGEs, drusenoid material and drusenoid lesions in patients with AMD. AGE-type autofluorescence was measured to evaluate the effects of FN3K on glycolaldehyde-induced AGE-modified neural porcine retinas and unmodified human neural retinas. Eye pairs from cigarette-smoke- and air-exposed mice were treated and evaluated histologically. Automated optical image analysis of human tissue sections was performed to compare control- and FN3K-treated drusen and near-infrared (NIR) microspectroscopy was performed to examine biochemical differences. Optical coherence tomography (OCT) was used to evaluate the effect of FN3K on drusenoid deposits after treatment of post-mortem human eyes. FN3K treatment provoked a significant decrease (41%) of AGE-related autofluorescence in the AGE-modified porcine retinas. Furthermore, treatment of human neural retinas resulted in significant decreases of autofluorescence (−24%). FN3K-treated murine eyes showed less drusenoid material. Pairwise comparison of drusen on tissue sections revealed significant changes in color intensity after FN3K treatment. NIR microspectroscopy uncovered clear spectral differences in drusenoid material (Bruch’s membrane) and drusen after FN3K treatment. Ex vivo treatment strongly reduced size of subretinal drusenoid lesions on OCT imaging (up to 83%). In conclusion, our study demonstrated for the first time a potential role of FN3K in the disruption of AGE-related retinal autofluorescence, drusenoid material and drusenoid lesions in patients with AMD.
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Affiliation(s)
- Sander De Bruyne
- Department of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium; (S.D.B.); (J.H.); (J.V.D.)
| | | | - Henk Vrielinck
- Department of Solid State Sciences, Ghent University, 9000 Ghent, Belgium; (H.V.); (S.K.)
| | - Samira Khelifi
- Department of Solid State Sciences, Ghent University, 9000 Ghent, Belgium; (H.V.); (S.K.)
| | - Olivier De Wever
- Department of Human Structure and Repair, Ghent University, 9000 Ghent, Belgium; (O.D.W.); (A.V.)
| | - Ken Bracke
- Department of Internal Medicine and Pediatrics, Ghent University, 9000 Ghent, Belgium; (K.B.); (M.S.)
| | - Manon Huizing
- Biobank, Antwerp University Hospital, 2650 Antwerp, Belgium; (M.H.); (N.B.)
| | - Nezahat Boston
- Biobank, Antwerp University Hospital, 2650 Antwerp, Belgium; (M.H.); (N.B.)
| | - Jonas Himpe
- Department of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium; (S.D.B.); (J.H.); (J.V.D.)
| | - Marijn Speeckaert
- Department of Internal Medicine and Pediatrics, Ghent University, 9000 Ghent, Belgium; (K.B.); (M.S.)
- Research Foundation Flanders, 1000 Brussels, Belgium
| | - Anne Vral
- Department of Human Structure and Repair, Ghent University, 9000 Ghent, Belgium; (O.D.W.); (A.V.)
| | - Jo Van Dorpe
- Department of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium; (S.D.B.); (J.H.); (J.V.D.)
- Department of Pathology, Ghent University Hospital, 9000 Ghent, Belgium;
| | - Elisabeth Van Aken
- Department of Head and Skin, Ghent University, 9000 Ghent, Belgium
- Correspondence: (E.V.A.); (J.R.D.)
| | - Joris R. Delanghe
- Department of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium; (S.D.B.); (J.H.); (J.V.D.)
- Correspondence: (E.V.A.); (J.R.D.)
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18
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Steenbeke M, De Bruyne S, De Buyzere M, Lapauw B, Speeckaert R, Petrovic M, Delanghe JR, Speeckaert MM. The role of soluble receptor for advanced glycation end-products (sRAGE) in the general population and patients with diabetes mellitus with a focus on renal function and overall outcome. Crit Rev Clin Lab Sci 2020; 58:113-130. [PMID: 32669010 DOI: 10.1080/10408363.2020.1791045] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Isoforms of the receptor for advanced glycation end-product (RAGE) protein, which lack the transmembrane and the signaling (soluble RAGE or sRAGE) domains are hypothesized to counteract the detrimental action of the full-length receptor by acting as a decoy, and they provide a potential tool to treat RAGE-associated diseases. Multiple studies have explored the relationship between sRAGE and endogenous secretory RAGE and its polymorphism and obesity, metabolic syndrome, atherosclerosis, kidney function, and increased mortality in the general population. In addition, sRAGE may be a key player in the pathogenesis of diabetes mellitus and its microvascular (e.g. kidney disease) as well as macrovascular (e.g. cardiovascular disease) complications. In this review, we focus on the role of sRAGE as a biomarker in these specific areas. As there is a lack of an underlying unifying hypothesis about how sRAGE changes according to the disease condition or risk factor, there is a call to incorporate all three players of the AGE-RAGE axis into a new universal biomarker/risk marker: (AGE + RAGE)/sRAGE. However, the measurement of RAGE in humans is not practical as it is a cell-bound receptor for which tissue is required for analysis. A high AGE/sRAGE ratio may be a valuable alternative and practical universal biomarker/risk marker for diseases associated with the AGE-RAGE axis, irrespective of low or high serum sRAGE concentrations.
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Affiliation(s)
- Mieke Steenbeke
- Department of Nephrology, Ghent University Hospital, Ghent, Belgium
| | - Sander De Bruyne
- Department of Clinical Chemistry, Ghent University Hospital, Ghent, Belgium
| | - Marc De Buyzere
- Department of Internal Medicine, Ghent University, Ghent, Belgium
| | - Bruno Lapauw
- Department of Endocrinology, Ghent University Hospital, Ghent, Belgium
| | | | - Mirko Petrovic
- Department of Geriatrics, Ghent University Hospital, Ghent, Belgium
| | - Joris R Delanghe
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | - Marijn M Speeckaert
- Department of Nephrology, Ghent University Hospital, Ghent, Belgium.,Research Foundation Flanders, Brussels, Belgium
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De Bruyne S, Speeckaert R, Himpe J, Delanghe JR. Near-infrared spectroscopy as a potential non-invasive tool in the assessment of disease activity in vitiligo patients. Exp Dermatol 2020; 29:570-574. [PMID: 32267028 DOI: 10.1111/exd.14097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Revised: 03/25/2020] [Accepted: 03/25/2020] [Indexed: 01/22/2023]
Abstract
Vitiligo is a common chronic depigmenting skin disease. We explored the utility of near-infrared (NIR) spectroscopy in the identification of spectral changes associated with disease activity in vitiligo patients. In vivo spectral measurements were performed directly on the perilesional skin of 70 vitiligo patients. Relative intensities (second derivative) at 1139, 1344, 1646 and 1839 nm appeared to be significantly lower in the perilesional region of patients with active vitiligo compared with stable disease, while the intensity at 1884 nm seemed to be significantly higher. A classification model based on the spectral ranges around those peaks generated a correct prediction in 82.9% of the cases. In conclusion, we can state that NIR spectroscopy could have potential in the assessment of disease activity. However, large-scale prospective studies are necessary to confirm our preliminary results.
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Affiliation(s)
- Sander De Bruyne
- Department of Clinical Chemistry, Ghent University, Ghent, Belgium
| | | | - Jonas Himpe
- Department of Clinical Chemistry, Ghent University, Ghent, Belgium
| | - Joris R Delanghe
- Department of Clinical Chemistry, Ghent University, Ghent, Belgium
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De Bruyne S, Himpe J, Delanghe SE, Glorieux G, Van Biesen W, De Buyzere ML, Speeckaert MM, Delanghe JR. Carbamoylated Nail Proteins as Assessed by Near-Infrared Analysis are Associated with Load of Uremic Toxins and Mortality in Hemodialysis Patients. Toxins (Basel) 2020; 12:toxins12020083. [PMID: 31991867 PMCID: PMC7076796 DOI: 10.3390/toxins12020083] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 01/23/2020] [Accepted: 01/25/2020] [Indexed: 12/12/2022] Open
Abstract
Carbamoylation is an important risk factor for accelerated atherogenesis and mortality in patients undergoing hemodialysis (HD). We intended to explore whether carbamoylation as assessed by near-infrared (NIR) analysis of nail proteins is associated with (a) plasma concentrations of representative uremic toxins and (b) mortality in HD patients. A total of 53 healthy volunteers and 84 consecutive HD patients were enrolled in this cross-sectional cohort study. Standard laboratory methods were used to measure routine parameters, whereas levels of uremic toxins were determined using reversed-phase high-performance liquid chromatography (RP-HPLC). Spectra of distal fingernail clippings were obtained using an Avantes NIR spectrometer and processed using chemometric data analysis. The second derivative of the peak intensity at 1494 nm attributed to N-H amide bands from NH2 of carbamoyl (-CONH2) groups was higher in HD patients than in control subjects (p < 0.0001). Peak intensity levels were associated with age and plasma levels of representative uremic toxins. Cox-regression analysis revealed a significant association with all-cause mortality, even after adjustment for age. In conclusion, our data revealed that carbamoylation as assessed by NIR analysis of nail proteins is associated with plasma concentrations of uremic toxins and also with mortality in HD patients. Further research to explore whether it is a surrogate marker or a hard indicator of mortality risk is warranted.
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Affiliation(s)
- Sander De Bruyne
- Department of Clinical Chemistry, Ghent University, 9000 Ghent, Belgium; (S.D.B.); (J.H.)
| | - Jonas Himpe
- Department of Clinical Chemistry, Ghent University, 9000 Ghent, Belgium; (S.D.B.); (J.H.)
| | - Sigurd E. Delanghe
- Department of Nephrology, Ghent University, 9000 Ghent, Belgium; (S.E.D.); (G.G.); (W.V.B.); (M.M.S.)
| | - Griet Glorieux
- Department of Nephrology, Ghent University, 9000 Ghent, Belgium; (S.E.D.); (G.G.); (W.V.B.); (M.M.S.)
| | - Wim Van Biesen
- Department of Nephrology, Ghent University, 9000 Ghent, Belgium; (S.E.D.); (G.G.); (W.V.B.); (M.M.S.)
| | - Marc L. De Buyzere
- Department of Cardiology, Heart Center, Ghent University Hospital, 9000 Ghent, Belgium;
| | - Marijn M. Speeckaert
- Department of Nephrology, Ghent University, 9000 Ghent, Belgium; (S.E.D.); (G.G.); (W.V.B.); (M.M.S.)
- Research Foundation Flanders, 1000 Brussels, Belgium
| | - Joris R. Delanghe
- Department of Clinical Chemistry, Ghent University, 9000 Ghent, Belgium; (S.D.B.); (J.H.)
- Correspondence: ; Tel.: +32-9-332-29-56
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21
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Steenbeke M, De Bruyne S, Van Aken E, Glorieux G, Van Biesen W, Himpe J, De Meester G, Speeckaert M, Delanghe J. UV Fluorescence-Based Determination of Urinary Advanced Glycation End Products in Patients with Chronic Kidney Disease. Diagnostics (Basel) 2020; 10:diagnostics10010034. [PMID: 31936498 PMCID: PMC7168138 DOI: 10.3390/diagnostics10010034] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 12/27/2019] [Accepted: 01/06/2020] [Indexed: 02/07/2023] Open
Abstract
Advanced glycation end products (AGEs) are a class of proteins or lipids that are non-enzymatically glycated and oxidized after contact with aldose sugars. The accumulation of AGEs results in carbonyl stress, which is characteristic for diabetes mellitus, uremia, atherosclerosis and vascular dysfunction. In recent decades, several innovative methods have been developed to measure the concentration of AGEs in blood or urine. In the present study, we evaluated the use of UV fluorescence as an alternative tool to detect urinary AGEs in four groups of well characterized chronic kidney disease (CKD) patients over a wide range of kidney insufficiency and in a group of healthy subjects. Using an excitation wavelength of 365 nm, the fluorescence spectra of urinary AGEs were recorded in the 400–620 nm emission range. When considering the emission peaks at 440 nm and 490 nm, a significantly higher AGE-specific fluorescence intensity was detected in CKD patients compared to healthy subjects (p < 0.0001 and p = 0.0001, respectively). The urinary creatinine adjusted fluorescence emission spectra in the group of CKD patients with diabetes mellitus were comparable with those of CKD patients without diabetes mellitus. Creatinine-adjusted fluorescence emission spectra were highest in CKD patients with proteinuria, moderate in CKD patients without proteinuria and lowest in healthy controls (p < 0.0001 at both emission wavelengths). In a multiple regression analysis, age, CRP and insulin treatment were predictors of fluorescence intensity at the emission wavelength of 440 nm. Age and insulin treatment were predictors at 490 nm. The presented method is a simple, cheap, alternative method to monitor the AGE-load in the CKD population.
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Affiliation(s)
- Mieke Steenbeke
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (M.S.); (G.G.); (W.V.B.)
| | - Sander De Bruyne
- Department of Laboratory Medicine, Clinical Chemistry, Ghent University Hospital, 9000 Ghent, Belgium; (S.D.B.); (J.H.); (G.D.M.)
| | - Elisabeth Van Aken
- Department of Ophthalmology, Sint-Elisabeth Ziekenhuis, 9620 Zottegem, Belgium;
| | - Griet Glorieux
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (M.S.); (G.G.); (W.V.B.)
| | - Wim Van Biesen
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (M.S.); (G.G.); (W.V.B.)
| | - Jonas Himpe
- Department of Laboratory Medicine, Clinical Chemistry, Ghent University Hospital, 9000 Ghent, Belgium; (S.D.B.); (J.H.); (G.D.M.)
| | - Gilles De Meester
- Department of Laboratory Medicine, Clinical Chemistry, Ghent University Hospital, 9000 Ghent, Belgium; (S.D.B.); (J.H.); (G.D.M.)
| | - Marijn Speeckaert
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium; (M.S.); (G.G.); (W.V.B.)
- Research Foundation Flanders, 1000 Brussels, Belgium
- Correspondence: ; Tel.: +32-933-245-09; Fax: +32-933-238-47
| | - Joris Delanghe
- Department of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium;
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22
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Delanghe SE, De Bruyne S, De Baene L, Van Biesen W, Speeckaert MM, Delanghe JR. Estimating the Level of Carbamoylated Plasma Non-High-Density Lipoproteins Using Infrared Spectroscopy. J Clin Med 2019; 8:jcm8060774. [PMID: 31159214 PMCID: PMC6616436 DOI: 10.3390/jcm8060774] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Revised: 05/28/2019] [Accepted: 05/29/2019] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The increased cardiovascular morbidity and mortality observed in chronic kidney disease (CKD) patients can be partly explained by the presence of carbamoylated lipoproteins. Lipid profiles can be determined with infrared spectroscopy. In this paper, the effects of carbamoylation on spectral changes of non-high-density lipoproteins (non-HDL) were studied. METHODS In the present study, fasting serum samples were obtained from 84 CKD patients (CKD stage 3-5: n = 37 and CKD stage 5d (hemodialysis): n = 47) and from 45 healthy subjects. In vitro carbamoylation of serum lipoproteins from healthy subjects was performed using increasing concentrations of potassium cyanate. Lipoprotein-containing pellets were isolated by precipitation of non-HDL. The amount of carbamoylated serum non-HDL was estimated using attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy, followed by soft independent modelling by class analogy analysis. RESULTS Carbamoylation resulted in a small increase of the amide I band (1714-1589 cm-1) of the infrared spectroscopy (IR) spectrum. A significant difference in the amide II/amide I area under the curves (AUC) ratio was observed between healthy subjects and CKD patients, as well as between the two CKD groups (non-dialysis versus hemodialysis patients). CONCLUSIONS ATR-FTIR spectroscopy can be considered as a novel method to detect non-HDL carbamoylation.
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Affiliation(s)
- Sigurd E Delanghe
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium.
| | - Sander De Bruyne
- Department of Clinical Chemistry, Ghent University Hospital, 9000 Ghent, Belgium.
| | - Linde De Baene
- Department of Clinical Chemistry, Ghent University Hospital, 9000 Ghent, Belgium.
| | - Wim Van Biesen
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium.
| | - Marijn M Speeckaert
- Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium.
- Research Foundation-Flanders (FWO), 1000 Brussels, Belgium.
| | - Joris R Delanghe
- Department of Clinical Chemistry, Ghent University Hospital, 9000 Ghent, Belgium.
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Vermassen T, De Bruyne S, Himpe J, Lumen N, Callewaert N, Rottey S, Delanghe J. N-Linked Glycosylation and Near-Infrared Spectroscopy in the Diagnosis of Prostate Cancer. Int J Mol Sci 2019; 20:ijms20071592. [PMID: 30934974 PMCID: PMC6479798 DOI: 10.3390/ijms20071592] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 03/21/2019] [Accepted: 03/23/2019] [Indexed: 01/07/2023] Open
Abstract
Background: Performing a prostate biopsy is the most robust and reliable way to diagnose prostate cancer (PCa), and to determine the disease grading. As little to no biochemical markers for prostate tissue exist, we explored the possibilities of tissue N-glycosylation and near-infrared spectroscopy (NIR) in PCa diagnosis. Methods: Tissue specimens from 100 patients (benign prostate hyperplasia (BPH), n = 50; and PCa, n = 50) were obtained. The fresh-frozen tissue was dispersed and a tissue N-glycosylation profile was determined. Consequently, the formalin-fixed paraffin-embedded slides were analyzed using NIR spectroscopy. A comparison was made between the benign and malignant tissue, and between the various Gleason scores. Results: A difference was observed for the tissue of N-glycosylation between the benign and malignant tissue. These differences were located in the fycosylation ratios and the total amount of bi- and tetra-antennary structures (all p < 0.0001). These differences were also present between various Gleason scores. In addition, the NIR spectra revealed changes between the benign and malignant tissue in several regions. Moreover, spectral ranges of 1055–1065 nm and 1450–1460 nm were significantly different between the Gleason scores (p = 0.0042 and p = 0.0195). Conclusions: We have demonstrated biochemical changes in the N-glycan profile of prostate tissue, which allows for the distinction between malignant and benign tissue, as well as between various Gleason scores. These changes can be correlated to the changes observed in the NIR spectra. This could possibly further improve the histological assessment of PCa diagnosis, although further method validation is needed.
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Affiliation(s)
- Tijl Vermassen
- Department of Medical Oncology, Ghent University Hospital, 9000 Ghent, Belgium.
| | - Sander De Bruyne
- Department of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium.
| | - Jonas Himpe
- Department of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium.
| | - Nicolaas Lumen
- Department of Urology, Ghent University Hospital, 9000 Ghent, Belgium.
| | - Nico Callewaert
- Unit for Medical Biotechnology, Inflammation Research Center, VIB⁻Ghent University, 9052 Zwijnaarde, Belgium.
| | - Sylvie Rottey
- Department of Medical Oncology, Ghent University Hospital, 9000 Ghent, Belgium.
| | - Joris Delanghe
- Department of Clinical Chemistry, Microbiology and Immunology, Ghent University, 9000 Ghent, Belgium.
- Department of Clinical Chemistry, Ghent University Hospital, 9000 Ghent, Belgium.
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Delanghe S, Speeckaert M, De Bruyne S, Delanghe J. On the nature of toenail opacities in renal insufficiency. Clin Exp Nephrol 2018; 23:146-147. [PMID: 29730728 DOI: 10.1007/s10157-018-1576-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 04/04/2018] [Indexed: 10/17/2022]
Affiliation(s)
- Sigurd Delanghe
- Department of Nephrology, Ghent University Hospital, Ghent, Belgium
| | | | - Sander De Bruyne
- Department of Clinical Chemistry, Ghent University, De Pintelaan 185, 9000, Ghent, Belgium
| | - Joris Delanghe
- Department of Clinical Chemistry, Ghent University, De Pintelaan 185, 9000, Ghent, Belgium.
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Abstract
Fourier transform mid-infrared (MIR-FTIR) spectroscopy is a nondestructive, label-free, highly sensitive and specific technique that provides complete information on the chemical composition of biological samples. The technique both can offer fundamental structural information and serve as a quantitative analysis tool. Therefore, it has many potential applications in different fields of clinical laboratory science. Although considerable technological progress has been made to promote biomedical applications of this powerful analytical technique, most clinical laboratory analyses are based on spectroscopic measurements in the visible or ultraviolet (UV) spectrum and the potential role of FTIR spectroscopy still remains unexplored. In this review, we present some general principles of FTIR spectroscopy as a useful method to study molecules in specimens by MIR radiation together with a short overview of methods to interpret spectral data. We aim at illustrating the wide range of potential applications of the proposed technique in the clinical laboratory setting with a focus on its advantages and limitations and discussing the future directions. The reviewed applications of MIR spectroscopy include (1) quantification of clinical parameters in body fluids, (2) diagnosis and monitoring of cancer and other diseases by analysis of body fluids, cells, and tissues, (3) classification of clinically relevant microorganisms, and (4) analysis of kidney stones, nails, and faecal fat.
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Affiliation(s)
- Sander De Bruyne
- a Department of Clinical Chemistry , Ghent University Hospital , Ghent , Belgium
| | | | - Joris R Delanghe
- a Department of Clinical Chemistry , Ghent University Hospital , Ghent , Belgium
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De Bruyne S, Monteyne T, Speeckaert MM, Delanghe JR. Infrared analysis of lipoproteins in the detection of alcohol biomarkers. ACTA ACUST UNITED AC 2017; 55:876-881. [DOI: 10.1515/cclm-2016-0668] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Accepted: 10/12/2016] [Indexed: 01/18/2023]
Abstract
Abstract
Background:
Alcoholism is a major public health problem. Alcohol causes modifications in the composition and concentration of lipoproteins and influences the enzymes and transfer proteins that transform lipoproteins in plasma. Alcohol is associated with the presence of alcohol biomarkers (fatty acid ethyl esters [FAEEs] and phosphatidylethanol [PEth]) in lipoproteins. We explore the possibilities of detecting alcohol biomarkers in non-high-density-lipoproteins (non-HDLs) precipitated from serum using attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR).
Methods:
Analyzes were carried out on stored serum samples, with known % carbohydrate-deficient transferrin (CDT) values, included in a driver’s license regranting program under the control of the Belgian Institute of Road Safety. The study consisted of 127 control samples (CDT≤1.3%) and 114 alcoholic samples (CDT>1.3%). Liver enzymes, CRP, triglycerides, total, HDL- and LDL-cholesterol values were determined. Non-HDLs were precipitated with sodium phosphotungstate and MgCl2 and analyzed using ATR-FTIR in the range from 4500 cm−1 to 450 cm−1 using a Perkin Elmer ATR-FTIR Spectrometer Two.
Results:
The area under the curve of the 1130–990 cm−1 region (AUC1130−990 cm−1) was able to discriminate controls from alcoholics (p<0.0001) due to the presence of FAEEs in lipoproteins. Multiple regression analysis significantly predicted the AUC1130−990 cm−1 (adj. r2=0.13, p<0.0001). Significant correlations were found between AUC1130−990 cm−1 and CDT values (r=0.32, p<0.0001), AST/ALT ratio (r=0.21, p=0.001). GGT showed no significant correlation.
Conclusions:
Infrared analysis of lipoproteins is a potential tool in the detection of alcohol biomarkers.
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