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Ahmad S, Kumar R. An update of new/potential cardiovascular markers: a narrative review. Mol Biol Rep 2024; 51:179. [PMID: 38252393 DOI: 10.1007/s11033-023-08978-1] [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: 08/17/2023] [Accepted: 11/07/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Cardiovascular and their associated disease (CVD) is a leading cause of death worldwide, in developed and developing countries, and its prevalence has increased over the past few decades, due to changes in the lifestyle of people. Biomarkers are important tools for diagnosing, analyzing, and providing evidence of pathological conditions of CVD and their associated diseases. METHODS This study reviews historical cardiovascular biomarkers used to diagnose various diseases, their uses, and limitations, as well as the importance of new and emerging biomarkers. CONCLUSION sST2, GDF-15, CD-40, IL-6, and Micro-RNA. Initial studies of the future of cardiac biomarkers are promising, but more research is needed to demonstrate that they are more effective biomarkers of risk factors for CVD development. They also lack the analytical foundation needed for adoption in the medical industry. It is also necessary to determine whether these biomarkers can be used for diagnosis.
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Affiliation(s)
- Sharique Ahmad
- Department of Pathology, Era's Lucknow Medical College & Hospital, Era University, Lucknow, India
| | - Raushan Kumar
- Department of Pathology, Era's Lucknow Medical College & Hospital, Era University, Lucknow, India.
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Sabbatinelli J, Di Rosa M, Giuliani A, Domenichelli M, Bonfigli AR, Sarzani R, Cherubini A, Antonicelli R, Burattini M, Corsonello A, Galeazzi R, Babini L, Moretti M, Procopio AD, Lattanzio F, Olivieri F. Serum levels of soluble suppression of tumorigenicity 2 (sST2) and heart-type fatty acid binding protein (H-FABP) independently predict in-hospital mortality in geriatric patients with COVID-19. Mech Ageing Dev 2023; 216:111876. [PMID: 37802485 DOI: 10.1016/j.mad.2023.111876] [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: 07/21/2023] [Revised: 10/02/2023] [Accepted: 10/03/2023] [Indexed: 10/10/2023]
Abstract
Elevation of cardiac damage biomarkers is associated with adverse clinical outcomes and increased mortality in COVID-19 patients. This study assessed the association of admission serum levels of sST2 and H-FABP with in-hospital mortality in 191 geriatric patients (median age 86 yrs., IQR 82-91 yrs.) with COVID-19 and available measures of hs-cTnT and NT-proBNP at admission. Cox proportional hazards models were utilized to predict in-hospital mortality, considering clinical/biochemical confounders as covariates. A composite cardiac score was calculated to improve predictive accuracy. Patients deceased during their hospital stay (26%) exhibited higher levels of all biomarkers, which demonstrated good discrimination for in-hospital mortality. Addition of sST2 and H-FABP significantly improved the discriminatory power of hs-cTnT and NT-proBNP. The composite cardiac score (AUC=0.866) further enhanced the predictive accuracy. Crude and adjusted Cox regressions models revealed that both sST2 and H-FABP were independently associated with in-hospital mortality (HR for sST2 ≥129 ng/mL, 4.32 [1.48-12.59]; HR for H-FABP ≥18 ng/mL, 7.70 [2.12-28.01]). The composite cardiac score also independently correlated with in-hospital mortality (HR for 1-unit increase, 1.47 [1.14-1.90]). In older patients with COVID-19, sST2 and H-FABP demonstrated prognostic value, improving the predictive accuracy of the routinely assessed biomarkers hs-cTnT and NT-proBNP.
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Affiliation(s)
- Jacopo Sabbatinelli
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy; Laboratory Medicine Unit, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy.
| | - Mirko Di Rosa
- Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, IRCCS INRCA, Ancona, Italy
| | - Angelica Giuliani
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy
| | - Marco Domenichelli
- Laboratory Medicine Unit, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy
| | | | | | - Antonio Cherubini
- Geriatria, Accettazione geriatrica e Centro di Ricerca Per l'invecchiamento, IRCCS INRCA, Ancona, Italy
| | | | | | - Andrea Corsonello
- Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, IRCCS INRCA, Ancona, Italy; Geriatric Medicine, IRCCS INRCA, Cosenza, Italy
| | - Roberta Galeazzi
- Clinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy
| | - Lucia Babini
- Laboratory Medicine Unit, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy
| | - Marco Moretti
- Laboratory Medicine Unit, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy
| | - Antonio Domenico Procopio
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy; Clinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy
| | | | - Fabiola Olivieri
- Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy; Clinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy
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Rodríguez-Calvo R, Granado-Casas M, Pérez-Montes de Oca A, Julian MT, Domingo M, Codina P, Santiago-Vacas E, Cediel G, Julve J, Rossell J, Masana L, Mauricio D, Lupón J, Bayes-Genis A, Alonso N. Fatty Acid Binding Proteins 3 and 4 Predict Both All-Cause and Cardiovascular Mortality in Subjects with Chronic Heart Failure and Type 2 Diabetes Mellitus. Antioxidants (Basel) 2023; 12:antiox12030645. [PMID: 36978893 PMCID: PMC10044995 DOI: 10.3390/antiox12030645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
Subjects with type 2 diabetes mellitus (T2D) are at increased risk for heart failure (HF). The cardiac-specific (FABP3) and adipose-tissue-specific (FABP4) types of the fatty acid binding proteins have been associated with both all-cause and cardiovascular (CV) mortality. The aim of this study was to explore the prognosis value of FABP3 and FABP4 in ambulatory subjects with chronic HF (CHF), with and without T2D. A prospective study involving 240 ambulatory CHF subjects was performed. Patients were followed-up for a mean of 5.78 ± 3.30 years and cause of death (if any) was recorded. Primary endpoints were defined as all-cause and CV death, and a composite endpoint that included CV death or hospitalization for HF was included as a secondary endpoint. Baseline serum samples were obtained and the serum FABP3 and FABP4 concentrations were assessed by sandwich enzyme-linked immunosorbent assay. Survival analysis was performed with multivariable Cox regressions, using Fine and Gray competing risks models when needed, to explore the prognostic value of FABP3 and FABP4 concentrations, adjusting for potential confounders. Type 2 diabetes mellitus was highly prevalent, accounting for 47.5% for total subjects with CHF. Subjects with T2D showed higher mortality rates (T2D: 69.30%; non-T2D: 50.79%, p = 0.004) and higher serum FABP3 (1829.3 (1104.9–3440.5) pg/mL vs. 1396.05 (820.3–2362.16) pg/mL, p = 0.007) and FABP4 (45.5 (27.6–79.8) ng/mL vs. 34.1 (24.09–55.3) ng/mL, p = 0.006) concentrations compared with non-T2D CHF subjects. In the whole study cohort, FABP3 was independently associated with all-cause death, and both FABP3 and FABP4 concentrations were associated with CV mortality. The predictive values of these two molecules for all-cause (FABP3: HR 1.25, 95% CI 1.09–1.44; p = 0.002. FABP4: HR 2.21, 95% CI 1.12–4.36; p = 0.023) and CV mortality (FABP3: HR 1.28, 95% CI 1.09–1.50; p = 0.002. FABP4: HR 4.19, 95% CI 2.21–7.95; p < 0.001) were only statistically significant in the subgroup of subjects with T2D. Notably, FABP4 (HR 2.07, 95% CI 1.11–3.87; p = 0.022), but not FABP3, also predicted the occurrence of the composite endpoint (death or hospitalization for HF) only in subjects with T2D. All these associations were not found in CHF subjects without T2D. Our findings support the usefulness of serum FABP3 and FABP4 concentrations as independent predictors for the occurrence of all-cause and CV mortality in ambulatory subjects with CHF with T2D.
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Affiliation(s)
- Ricardo Rodríguez-Calvo
- Vascular Medicine and Metabolism Unit, “Sant Joan” University Hospital, Institut de Investigació Sanitaria Pere Virgili (IISPV), 43204 Reus, Spain
- Research Unit on Lipids and Atherosclerosis, Universitat Rovira i Virgili, Institut de Investigació Sanitaria Pere Virgili (IISPV), 43204 Reus, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Minerva Granado-Casas
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Nursing and Physiotherapy, Health Sciences Faculty, University of Lleida, IRBLleida, 25198 Lleida, Spain
- DAP-Cat Group, Unitat de Suport a la Recerca Barcelona, Institut Universitari d’Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), 08041 Barcelona, Spain
| | | | - María Teresa Julian
- Department of Endocrinology & Nutrition, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain
| | - Mar Domingo
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, 08916 Badalona, Spain
| | - Pau Codina
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, 08916 Badalona, Spain
| | - Evelyn Santiago-Vacas
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, 08916 Badalona, Spain
| | - Germán Cediel
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, 08916 Badalona, Spain
| | - Josep Julve
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain
- Institut d’Investigació Biomèdica de l’Hospital de la Santa Creu i Sant Pau, IIB Sant Pau, 08041 Barcelona, Spain
| | - Joana Rossell
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Lluís Masana
- Vascular Medicine and Metabolism Unit, “Sant Joan” University Hospital, Institut de Investigació Sanitaria Pere Virgili (IISPV), 43204 Reus, Spain
- Research Unit on Lipids and Atherosclerosis, Universitat Rovira i Virgili, Institut de Investigació Sanitaria Pere Virgili (IISPV), 43204 Reus, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Didac Mauricio
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Endocrinology & Nutrition, Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, 08041 Barcelona, Spain
- Faculty of Medicine, University of Vic & Central University of Catalonia, 08500 Vic, Spain
| | - Josep Lupón
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, 08916 Badalona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, 08023 Barcelona, Spain
- CIBERCV, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Antoni Bayes-Genis
- Heart Failure Clinic and Cardiology Service, University Hospital Germans Trias i Pujol, 08916 Badalona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, 08023 Barcelona, Spain
- CIBERCV, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence: (A.B.-G.); (N.A.)
| | - Núria Alonso
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Endocrinology & Nutrition, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain
- Department of Medicine, Universitat Autonoma de Barcelona, 08023 Barcelona, Spain
- Correspondence: (A.B.-G.); (N.A.)
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Predictive Value of Heart-Type Fatty Acid-Binding Protein for Mortality Risk in Critically Ill Patients. DISEASE MARKERS 2022; 2022:1720414. [PMID: 36605375 PMCID: PMC9810396 DOI: 10.1155/2022/1720414] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 11/23/2022] [Accepted: 12/03/2022] [Indexed: 12/29/2022]
Abstract
Objective Our study assessed the predictive value of heart-type fatty acid-binding protein (H-FABP) for critically ill patients. Methods 150 critically ill patients admitted to the emergency department of Beijing Chaoyang Hospital, Capital Medical University, were included in our study from August 2021 to April 2022. Serum H-FABP, procalcitonin (PCT), lactate (LAC), and other markers were determined within 1 h after admission. The Sequential Organ Failure Assessment (SOFA) score and the Acute Physiology and Chronic Health Evaluation II (APACHE II) were calculated. The independent predictors of 28-day mortality in critically ill patients were analyzed by logistic regression, and the receiver operating characteristic curve (ROC) was used to analyze the predictive value for 28-day mortality in critically ill patients. Results Age, APACHE II, SOFA, GCS, LAC, H-FABP, IL-6, Scr, and D-dimer were significantly different in the nonsurvivor vs. survivor groups (P < 0.05), with H-FABP correlating with cTNI, Scr, PCT, and SOFA scores (P < 0.05). Logistic regression analysis showed that H-FABP, APACHE II, LAC, and age were independent predictors for 28-day mortality in critically ill patients (P < 0.05). The AUC of ROC curve in H-FABP was 0.709 (sensitivity 72.9%, specificity 66.1%, and cut-off 4.35), which was slightly lower than AUC of ROC curve in LAC (AUC 0.750, sensitivity 58.3%, specificity 76.1%, and cut-off 1.95) and APACHE II (AUC 0.731, sensitivity 77.1%, specificity 58.7%, and cut-off 12.5). However, statistically, there was no difference in the diagnostic value of H-FABP compared with the other two indicators (Z 1 = 0.669, P = 0.504; Z 2 = 0.383, P = 0.702). But H-FABP (72.9%) has higher sensitivity than LAC (58.3%). The combined evaluation of H-FABP+APACHE II score (AUC 0.801, sensitivity 71.7%, and specificity 78.2%; Z = 2.612, P = 0.009) had better diagnostic value than H-FABP alone and had high sensitivity (71.7%) and specificity (78.2%). Conclusion H-FABP, LAC, APACHE II, and age can be used as independent risk factors affecting the prognosis of critically ill patients. Compared with using the above indicators alone, the H-FABP+APACHE II has a high diagnostic value, and the early and rapid evaluation is particularly important for the adjustment of treatment plans and prognosis.
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Abdelaaty T, Morsy E, Rizk M, Shokry A, Abdelhameid A, Fathalla R. Relation of serum heart type fatty acid binding protein to left ventricular diastolic dysfunction in patients with type 2 diabetes and early diabetic kidney disease. J Diabetes Complications 2022; 36:108122. [PMID: 35123867 DOI: 10.1016/j.jdiacomp.2021.108122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 11/26/2021] [Accepted: 12/28/2021] [Indexed: 11/21/2022]
Abstract
AIMS We aimed to investigate the serum level of heart type fatty acid binding protein (H-FABP) and its relation to left ventricular (LV) diastolic dysfunction in patients with type 2 diabetes (T2DM) and early diabetic kidney disease (DKD). METHODS This study was conducted on 100 T2DM patients divided into 50 patients with early DKD and 50 patients without DKD. Doppler echocardiography was used to assess LV function and serum H-FABP levels were measured using ELISA technique. RESULTS 78% of patients with DKD and 12% of patients without DKD had LV diastolic dysfunction. Among patients with DKD, those with diastolic dysfunction had significantly higher urinary albumin to creatinine ratio (UACR) (p = 0.041). H-FABP levels were significantly higher in patients with DKD (p˂0.001) and it had significant positive correlation with UACR (p = 0.009). No significant difference was found regarding serum H-FABP levels between patients with normal LV function and those with diastolic dysfunction in both study groups. CONCLUSION Diastolic dysfunction is a common finding among patients with T2DM. UACR, but not serum H-FABP, is significantly associated with diastolic dysfunction in patients with early DKD. Serum H-FABP level is significantly higher in early DKD and positively correlated with the level of albuminuria.
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Affiliation(s)
- Talaat Abdelaaty
- Diabetes and Metabolism Unit, Internal Medicine Department, Alexandria University Faculty of Medicine, Alexandria, Egypt
| | - Eman Morsy
- Diabetes and Metabolism Unit, Internal Medicine Department, Alexandria University Faculty of Medicine, Alexandria, Egypt
| | - Mohamed Rizk
- Clinical and Chemical Pathology Department, Alexandria University Faculty of Medicine, Alexandria, Egypt
| | - Ahmed Shokry
- Cardiology Department, Alexandria Armed Forces Hospital, Military Medical Academy, Egypt
| | - Ahmed Abdelhameid
- Internal Medicine Department, Alexandria Armed Forces Hospital, Alexandria, Egypt
| | - Reem Fathalla
- Diabetes and Metabolism Unit, Internal Medicine Department, Alexandria University Faculty of Medicine, Alexandria, Egypt.
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Wong YK, Tse HF. Circulating Biomarkers for Cardiovascular Disease Risk Prediction in Patients With Cardiovascular Disease. Front Cardiovasc Med 2021; 8:713191. [PMID: 34660715 PMCID: PMC8517145 DOI: 10.3389/fcvm.2021.713191] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 09/08/2021] [Indexed: 12/23/2022] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death globally. Risk assessment is crucial for identifying at-risk individuals who require immediate attention as well as to guide the intensity of medical therapy to reduce subsequent risk of CVD. In the past decade, many risk prediction models have been proposed to estimate the risk of developing CVD. However, in patients with a history of CVD, the current models that based on traditional risk factors provide limited power in predicting recurrent cardiovascular events. Several biomarkers from different pathophysiological pathways have been identified to predict cardiovascular events, and the incorporation of biomarkers into risk assessment may contribute to enhance risk stratification in secondary prevention. This review focuses on biomarkers related to cardiovascular and metabolic diseases, including B-type natriuretic peptide, high-sensitivity cardiac troponin I, adiponectin, adipocyte fatty acid-binding protein, heart-type fatty acid-binding protein, lipocalin-2, fibroblast growth factor 19 and 21, retinol-binding protein 4, plasminogen activator inhibitor-1, 25-hydroxyvitamin D, and proprotein convertase subtilisin/kexin type 9, and discusses the potential utility of these biomarkers in cardiovascular risk prediction among patients with CVD. Many of these biomarkers have shown promise in improving risk prediction of CVD. Further research is needed to assess the validity of biomarker and whether the strategy for incorporating biomarker into clinical practice may help to optimize decision-making and therapeutic management.
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Affiliation(s)
- Yuen-Kwun Wong
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Hung-Fat Tse
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China.,Department of Medicine, Shenzhen Hong Kong University Hospital, Shenzhen, China.,Hong Kong-Guangdong Joint Laboratory on Stem Cell and Regenerative Medicine, The University of Hong Kong, Hong Kong, China.,Shenzhen Institutes of Research and Innovation, The University of Hong Kong, Hong Kong, China
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Wu MZ, Lee CH, Chen Y, Yu SY, Yu YJ, Ren QW, Fong HYC, Wong PF, Tse HF, Lam SLK, Yiu KH. Association between adipocyte fatty acid-binding protein with left ventricular remodelling and diastolic function in type 2 diabetes: a prospective echocardiography study. Cardiovasc Diabetol 2020; 19:197. [PMID: 33234149 PMCID: PMC7687743 DOI: 10.1186/s12933-020-01167-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 10/31/2020] [Indexed: 12/25/2022] Open
Abstract
Background The relationship between adipocyte fatty acid-binding protein (AFABP) and cardiac remodelling has been reported in cross-sectional studies, although with conflicting results. Type 2 diabetes mellitus (T2DM) is associated with left ventricular (LV) hypertrophy and diastolic dysfunction, as well as elevated circulating AFABP levels. Here we investigated prospectively the association between AFABP with the longitudinal changes of cardiac remodelling and diastolic dysfunction in T2DM. Methods Circulating AFABP levels were measured in 176 T2DM patients without cardiovascular diseases (CVD) at baseline. All participants received detailed transthoracic echocardiography both at baseline and after 1 year. Multivariable linear and Cox regression analyses were used to evaluate the associations of circulating AFABP levels with changes in echocardiography parameters and incident major adverse cardiovascular events (MACE), respectively. Results The median duration between baseline and follow-up echocardiography assessments was 28 months. Higher sex-specific AFABP quartiles at baseline were associated with increase in LV mass and worsening of average E/e′ (all P < 0.01). Multivariable linear regression demonstrated that AFABP in the highest quartile was independently associated with both increase in LV mass (β = 0.89, P < 0.01) and worsening of average E/e′ (β = 0.57, P < 0.05). Moreover, multivariable Cox regression analysis showed that elevated baseline circulating AFABP level independently predicted incident MACE (HR 2.65, 95% CI 1.16–6.05, P < 0.05) after adjustments for age, sex, body mass index, glycated haemoglobin, hypertension, dyslipidemia and presence of chronic kidney disease. Conclusion Circulating AFABP level at baseline predicted the development of LV hypertrophy, diastolic dysfunction and MACE in T2DM patients without CVD.
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Affiliation(s)
- Mei-Zhen Wu
- Division of Cardiology, Department of Medicine, the University of Hong Kong Shenzhen Hospital, Shen Zhen, China.,Division of Cardiology, Department of Medicine, the University of Hong Kong, Room 1929C, Block K, Queen Mary Hospital, Hong Kong, China
| | - Chi-Ho Lee
- Division of Endocrinology, Department of Medicine, the University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Yan Chen
- Department of Ultrasound, Shenzhen Hospital, Southern Medical University, Shen Zhen, China
| | - Shuk-Yin Yu
- Division of Cardiology, Department of Medicine, the University of Hong Kong, Room 1929C, Block K, Queen Mary Hospital, Hong Kong, China
| | - Yu-Juan Yu
- Division of Cardiology, Department of Medicine, the University of Hong Kong Shenzhen Hospital, Shen Zhen, China.,Division of Cardiology, Department of Medicine, the University of Hong Kong, Room 1929C, Block K, Queen Mary Hospital, Hong Kong, China
| | - Qing-Wen Ren
- Division of Cardiology, Department of Medicine, the University of Hong Kong Shenzhen Hospital, Shen Zhen, China.,Division of Cardiology, Department of Medicine, the University of Hong Kong, Room 1929C, Block K, Queen Mary Hospital, Hong Kong, China
| | - Ho-Yi Carol Fong
- Division of Endocrinology, Department of Medicine, the University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Pui-Fai Wong
- Division of Cardiology, Department of Medicine, the University of Hong Kong, Room 1929C, Block K, Queen Mary Hospital, Hong Kong, China
| | - Hung-Fat Tse
- Division of Cardiology, Department of Medicine, the University of Hong Kong Shenzhen Hospital, Shen Zhen, China.,Division of Cardiology, Department of Medicine, the University of Hong Kong, Room 1929C, Block K, Queen Mary Hospital, Hong Kong, China
| | - Siu-Ling Karen Lam
- Division of Endocrinology, Department of Medicine, the University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Kai-Hang Yiu
- Division of Cardiology, Department of Medicine, the University of Hong Kong Shenzhen Hospital, Shen Zhen, China. .,Division of Cardiology, Department of Medicine, the University of Hong Kong, Room 1929C, Block K, Queen Mary Hospital, Hong Kong, China.
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Ramesh P, Chauhan A, Goyal P, Singh A. H-FABP: A beacon of hope for prediabetic heart disease. J Family Med Prim Care 2020; 9:3421-3428. [PMID: 33102307 PMCID: PMC7567222 DOI: 10.4103/jfmpc.jfmpc_296_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 03/14/2020] [Accepted: 03/30/2020] [Indexed: 02/07/2023] Open
Abstract
Background: Prediabetes is increasingly being studied in the context of its association with cardiovascular disease (CVD). Besides raised HbA1c and sugar levels, the major underlying defect seems to be insulin resistance (IR). Subclinical atherosclerosis, measured by high sensitivity C reactive protein (hsCRP) and carotid artery intima media thickness (CIMT) underlies the pathogenesis of CVD in prediabetes. Heart-type fatty acid binding protein (H-FABP), a novel cardiac biomarker also might have a role in predictin prediabetic heart disease. Aims: The aim of the study is to compare serum levels of H-FABP in prediabetics and controls and correlate them with the atherosclerotic markers, hsCRP and CIMT. Setting and Design: 50 prediabetic patients and 50 age, sex and BMI matched controls were employed in the case control study. Serum F & PPBS, (HbA1c), fasting insulin levels were measured in cases and controls. Serum H-FABP was measured in both cases and controls. All cases and controls were subjected to bilateral CIMT measurements and Serum hsCRP levels. The values were compared between both the groups and subjected to appropriate statistical analysis. Statistical Analysis Used: Categorical variables were presented in number and percentage (%) and continuous variables were presented as mean ± SD and median. Normality of data was tested by Kolmogorov-Smirnov test. If the normality was rejected then non parametric test was used. Quantitative variables were compared using Independent t test/Mann-Whitney Test (when the data sets were not normally distributed) between the two groups. Qualitative variables were correlated using Chi-Square test/Fisher's Exact test. Spearman rank correlation coefficient was used to find out the correlation of various parameters with each other. Univariate linear regression was used to find out the cause and effect relationship between various parameters. A p <0.05 was considered statistically significant. The data analysis was done using Statistical Package for Social Sciences (SPSS) version 21.0. Results: The mean serum levels of H-FABP among cases and controls were 6.38± 2.76ng/ml and 3.24 ± 2.47 ng/ml respectively (p <0.0001). Mean CIMT was found to be higher in prediabetics (0.59 ± 0.11 mm ) compared to controls (0.45 ± 0.07mm) (p<0.0001). Serum hsCRP levels were also statistically higher in prediabetics (5.75± 4.16 mg/l) then that of controls (1.86± 1.67 mg/l) (p <0.0001). The correlations of the two variables, hsCRP and CIMT with H-FABP were both strongly positive (r = 0.687) & (r = 0.779) respectively [both cases (p < 0.0001)]. Conclusion: The novel cardiac biomarker H-FAPB might be a good predictor of cardiovascular risks in prediabetics.
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Affiliation(s)
| | - Ajay Chauhan
- Professor of Medicine, PGIMER, Dr. RMLH, New Delhi, India
| | - Parul Goyal
- Professor of Biochemistry, PGIMER, Dr. RMLH, New Delhi, India
| | - Akanksha Singh
- Department of Medicine, PGIMER, Dr. RMLH, New Delhi, India
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