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Martínez-Jiménez D, Hernández Del Rincón JP, Sabater-Molina M, Pérez-Martínez C, Torres C, Pérez-Cárceles MD, Luna A. Postmortem study of adrenomedullin and cortisol in femoral serum and pericardial fluid related to acute pulmonary edema. Int J Legal Med 2024:10.1007/s00414-024-03337-6. [PMID: 39325159 DOI: 10.1007/s00414-024-03337-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 09/16/2024] [Indexed: 09/27/2024]
Abstract
Currently, various tools aid in determining the cause of death and the circumstances surrounding it. Thanatochemistry is one such method that provides insights into the physiopathological mechanisms of death and the behavior of specific biomarkers in different body fluids postmortem. Certain biomarkers, characterized by their stability and specificity to vital tissues like the lungs, are associated with mechanisms contributing to death, such as acute pulmonary edema (APE). This study aims to analyze the behavior of midregional pro-adrenomedullin (MR-proADM) and cortisol levels, measured in pericardial fluid and femoral serum, in relation to the severity of APE, categorized according to specific criteria. Samples were collected from a total of 92 corpses (77 males, 15 females) with a mean age of 56.7 ± 15.2 years. The severity of APE associated with the deaths was classified into three groups: slight or absent (n = 7; 8.6%), medium or moderate (n = 16; 19.8%), and intense (n = 58;71.6%).The determination of MR-proADM and cortisol levels was conducted using ELISA kits and an Immunoassay Analyzer, respectively. Our results reveal a significant increase in MR-proADM concentration with the severity of APE. Furthermore, a correlation was established between cortisol and MR-proADM concentrations in both pericardial fluid and femoral serum samples. This indicates that the severity of APE influences the production of ADM, regardless of the specific underlying pathophysiological mechanisms. Cortisol values were also found to be higher in the intense APE group compared to the moderate group.This study contributes to our understanding of the relationship between MR-proADM and cortisol, and the severity of APE, shedding light on potential applications in postmortem investigations.
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Affiliation(s)
- Daniel Martínez-Jiménez
- Department of Legal and Forensic Medicine, University of Murcia, Campus Ciencias de la Salud Cmno Buenavista s/n 30120 El Palmar, Murcia, Spain
| | - Juan Pedro Hernández Del Rincón
- Department of Legal and Forensic Medicine, University of Murcia, Campus Ciencias de la Salud Cmno Buenavista s/n 30120 El Palmar, Murcia, Spain
- Institute of Legal Medicine and Forensic Sciences of Murcia, Murcia, Spain
- Biomedical Research Institute of Murcia (IMIB), Murcia, Spain
| | - Maria Sabater-Molina
- Department of Legal and Forensic Medicine, University of Murcia, Campus Ciencias de la Salud Cmno Buenavista s/n 30120 El Palmar, Murcia, Spain.
- Biomedical Research Institute of Murcia (IMIB), Murcia, Spain.
| | - Cristina Pérez-Martínez
- Department of Legal and Forensic Medicine, University of Murcia, Campus Ciencias de la Salud Cmno Buenavista s/n 30120 El Palmar, Murcia, Spain
| | - Carmen Torres
- Department of Legal and Forensic Medicine, University of Murcia, Campus Ciencias de la Salud Cmno Buenavista s/n 30120 El Palmar, Murcia, Spain
- Institute of Legal Medicine and Forensic Sciences of Murcia, Murcia, Spain
| | - María D Pérez-Cárceles
- Department of Legal and Forensic Medicine, University of Murcia, Campus Ciencias de la Salud Cmno Buenavista s/n 30120 El Palmar, Murcia, Spain
- Biomedical Research Institute of Murcia (IMIB), Murcia, Spain
| | - Aurelio Luna
- Department of Legal and Forensic Medicine, University of Murcia, Campus Ciencias de la Salud Cmno Buenavista s/n 30120 El Palmar, Murcia, Spain
- Biomedical Research Institute of Murcia (IMIB), Murcia, Spain
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Giurgea GA, Zlabinger K, Gugerell A, Lukovic D, Syeda B, Mandic L, Pavo N, Mester-Tonczar J, Traxler-Weidenauer D, Spannbauer A, Kastner N, Müller C, Anvari A, Bergler-Klein J, Gyöngyösi M. Multimarker Approach to Identify Patients with Coronary Artery Disease at High Risk for Subsequent Cardiac Adverse Events: The Multi-Biomarker Study. Biomolecules 2020; 10:biom10060909. [PMID: 32549327 PMCID: PMC7356937 DOI: 10.3390/biom10060909] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 06/03/2020] [Accepted: 06/10/2020] [Indexed: 12/13/2022] Open
Abstract
In our prospective non-randomized, single-center cohort study (n = 161), we have evaluated a multimarker approach including S100 calcium binding protein A12 (S100A1), interleukin 1 like-receptor-4 (IL1R4), adrenomedullin, copeptin, neutrophil gelatinase-associated lipocalin (NGAL), soluble urokinase plasminogen activator receptor (suPAR), and ischemia modified albumin (IMA) in prediction of subsequent cardiac adverse events (AE) during 1-year follow-up in patients with coronary artery disease. The primary endpoint was to assess the combined discriminatory predictive value of the selected 7 biomarkers in prediction of AE (myocardial infarction, coronary revascularization, death, stroke, and hospitalization) by canonical discriminant function analysis. The main secondary endpoints were the levels of the 7 biomarkers in the groups with/without AE; comparison of the calculated discriminant score of the biomarkers with traditional logistic regression and C-statistics. The canonical correlation coefficient was 0.642, with a Wilk’s lambda value of 0.78 and p < 0.001. By using the calculated discriminant equation with the weighted mean discriminant score (centroid), the sensitivity and specificity of our model were 79.4% and 74.3% in prediction of AE. These values were higher than that of the calculated C-statistics if traditional risk factors with/without biomarkers were used for AE prediction. In conclusion, canonical discriminant analysis of the multimarker approach is able to define the risk threshold at the individual patient level for personalized medicine.
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Affiliation(s)
- Georgiana-Aura Giurgea
- Department of Angiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria;
| | - Katrin Zlabinger
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Alfred Gugerell
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Dominika Lukovic
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Bonni Syeda
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Ljubica Mandic
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Noemi Pavo
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Julia Mester-Tonczar
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Denise Traxler-Weidenauer
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Andreas Spannbauer
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Nina Kastner
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Claudia Müller
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Anahit Anvari
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Jutta Bergler-Klein
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
| | - Mariann Gyöngyösi
- Department of Cardiology, Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria; (K.Z.); (A.G.); (D.L.); (B.S.); (L.M.); (N.P.); (J.M.-T.); (D.T.-W.); (A.S.); (N.K.); (C.M.); (A.A.); (J.B.-K.)
- Correspondence: ; Tel.: +43-1-40400-46140
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Abstract
The last years have witnessed tremendous technical advances in the field of transcriptomics that enable the simultaneous assessment of nearly all transcripts expressed in a tissue at a given time. These advances harbor the potential to gain a better understanding of the complex biological systems and for the identification and development of novel biomarkers. This article will review the current knowledge of transcriptomics biomarkers in the cardiovascular field and will provide an overview about the promises and challenges of the transcriptomics approach for biomarker identification.
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Affiliation(s)
- Marten Antoon Siemelink
- />Laboratory of Experimental Cardiology, University Medical Center Utrecht, Heidelberglaanes 100 Room G02.523, PO Box 85500, 3508 GA Utrecht, The Netherlands
| | - Tanja Zeller
- />Clinic for General and Interventional Cardiology, University Heart Center Hamburg, Martinistr. 52, 20246 Hamburg, Germany
- />German Center for Cardiovascular Research (DZHK), Hamburg/Lübeck/Kiel Partner Site, Hamburg, Germany
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