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Sonaglioni A, Pusca I, Casieri F, Dell'Anna R, Luigi Nicolosi G, Bianchi S, Lombardo M. Echocardiographic assessment of left atrial mechanics in women with hypertensive disorders of pregnancy: A systematic review and meta-analysis. Eur J Obstet Gynecol Reprod Biol 2024; 299:62-70. [PMID: 38838388 DOI: 10.1016/j.ejogrb.2024.05.044] [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: 01/28/2024] [Revised: 04/27/2024] [Accepted: 05/31/2024] [Indexed: 06/07/2024]
Abstract
OBJECTIVE The influence of hypertensive disorders of pregnancy (HDP) on left atrial (LA) mechanics assessed by speckle tracking echocardiography (STE) has been poorly investigated. Accordingly, we performed a meta-analysis to summarize the main findings of STE studies who measured LA reservoir (LASr), conduit (LAScd) and contractile (LASct) strain in HDP women. STUDY DESIGN All echocardiographic studies assessing LA strain parameters in HDP women vs. healthy controls, selected from PubMed and EMBASE databases, were included. The risk of bias was assessed by using the National Institutes of Health (NIH) Quality Assessment of Case-Control Studies. Continuous data (LASr, LAScd and LASct) were pooled as standardized mean difference (SMD) comparing HDP group with healthy controls. The overall SMDs of LASr, LAScd and LASct were calculated using the random-effect model. RESULTS The full-texts of 8 studies with 566 HDP women and 420 healthy pregnant women were analyzed. Average LASr (34.3 ± 6.4 vs 42.7 ± 5.3 %, P = 0.01) and LAScd (23.4 ± 6.3 vs 32.5 ± 6.0 %, P < 0.001) were significantly lower in HDP women than controls, whereas LASct (-13.0 ± 5.4 vs -13.7 ± 4.5 %, P = 0.18) was similar in the two groups of women. Substantial heterogeneity was detected among the studies evaluating LASr (I2 = 94.3 %), LAScd (I2 = 64.9 %) and LASct (I2 = 86.4 %). SMDs were large and statistically significant for LASr (-1.70, 95 %CI -2.34,-1.06, P < 0.001) and LAScd (-1.35, 95 %CI -1.69,-1.00, P < 0.001), small and not statistically significant for LASct (-0.11, 95 %CI -0.60,0.39, P = 0.678) assessment. Egger's test gave P-values of 0.10, 0.34 and 0.75 for LASr, LAScd and LASct measurement respectively, indicating no publication bias. On meta-regression analysis, none of the moderators was significantly associated with effect modification for LASr and its components (all P < 0.05). CONCLUSIONS HDPs are independently associated with LASr impairment in pregnancy. STE allows to identify, among HDP women, those who might benefit from a more aggressive antihypertensive treatment and/or a closer clinical follow-up, aimed at reducing the risk of adverse maternal outcome and cardiovascular complications later in life.
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Affiliation(s)
| | - Irene Pusca
- Division of Gynecology and Obstetrics, IRCCS MultiMedica, Milan, Italy
| | - Federica Casieri
- Division of Gynecology and Obstetrics, IRCCS MultiMedica, Milan, Italy
| | - Rebecca Dell'Anna
- Division of Gynecology and Obstetrics, IRCCS MultiMedica, Milan, Italy
| | | | - Stefano Bianchi
- Division of Gynecology and Obstetrics, IRCCS MultiMedica, Milan, Italy
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Schuermans A, Truong B, Ardissino M, Bhukar R, Slob EAW, Nakao T, Dron JS, Small AM, Cho SMJ, Yu Z, Hornsby W, Antoine T, Lannery K, Postupaka D, Gray KJ, Yan Q, Butterworth AS, Burgess S, Wood MJ, Scott NS, Harrington CM, Sarma AA, Lau ES, Roh JD, Januzzi JL, Natarajan P, Honigberg MC. Genetic Associations of Circulating Cardiovascular Proteins With Gestational Hypertension and Preeclampsia. JAMA Cardiol 2024; 9:209-220. [PMID: 38170504 PMCID: PMC10765315 DOI: 10.1001/jamacardio.2023.4994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 11/01/2023] [Indexed: 01/05/2024]
Abstract
Importance Hypertensive disorders of pregnancy (HDPs), including gestational hypertension and preeclampsia, are important contributors to maternal morbidity and mortality worldwide. In addition, women with HDPs face an elevated long-term risk of cardiovascular disease. Objective To identify proteins in the circulation associated with HDPs. Design, Setting, and Participants Two-sample mendelian randomization (MR) tested the associations of genetic instruments for cardiovascular disease-related proteins with gestational hypertension and preeclampsia. In downstream analyses, a systematic review of observational data was conducted to evaluate the identified proteins' dynamics across gestation in hypertensive vs normotensive pregnancies, and phenome-wide MR analyses were performed to identify potential non-HDP-related effects associated with the prioritized proteins. Genetic association data for cardiovascular disease-related proteins were obtained from the Systematic and Combined Analysis of Olink Proteins (SCALLOP) consortium. Genetic association data for the HDPs were obtained from recent European-ancestry genome-wide association study meta-analyses for gestational hypertension and preeclampsia. Study data were analyzed October 2022 to October 2023. Exposures Genetic instruments for 90 candidate proteins implicated in cardiovascular diseases, constructed using cis-protein quantitative trait loci (cis-pQTLs). Main Outcomes and Measures Gestational hypertension and preeclampsia. Results Genetic association data for cardiovascular disease-related proteins were obtained from 21 758 participants from the SCALLOP consortium. Genetic association data for the HDPs were obtained from 393 238 female individuals (8636 cases and 384 602 controls) for gestational hypertension and 606 903 female individuals (16 032 cases and 590 871 controls) for preeclampsia. Seventy-five of 90 proteins (83.3%) had at least 1 valid cis-pQTL. Of those, 10 proteins (13.3%) were significantly associated with HDPs. Four were robust to sensitivity analyses for gestational hypertension (cluster of differentiation 40, eosinophil cationic protein [ECP], galectin 3, N-terminal pro-brain natriuretic peptide [NT-proBNP]), and 2 were robust for preeclampsia (cystatin B, heat shock protein 27 [HSP27]). Consistent with the MR findings, observational data revealed that lower NT-proBNP (0.76- to 0.88-fold difference vs no HDPs) and higher HSP27 (2.40-fold difference vs no HDPs) levels during the first trimester of pregnancy were associated with increased risk of HDPs, as were higher levels of ECP (1.60-fold difference vs no HDPs). Phenome-wide MR analyses identified 37 unique non-HDP-related protein-disease associations, suggesting potential on-target effects associated with interventions lowering HDP risk through the identified proteins. Conclusions and Relevance Study findings suggest genetic associations of 4 cardiovascular disease-related proteins with gestational hypertension and 2 associated with preeclampsia. Future studies are required to test the efficacy of targeting the corresponding pathways to reduce HDP risk.
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Affiliation(s)
- Art Schuermans
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Buu Truong
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
| | - Maddalena Ardissino
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - Rohan Bhukar
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
| | - Eric A. W. Slob
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Tetsushi Nakao
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Jacqueline S. Dron
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
| | - Aeron M. Small
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - So Mi Jemma Cho
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Zhi Yu
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
| | - Whitney Hornsby
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
| | - Tajmara Antoine
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
| | - Kim Lannery
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
| | - Darina Postupaka
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
| | - Kathryn J. Gray
- Division of Maternal-Fetal Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Qi Yan
- Department of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- BHF Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, United Kingdom
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
| | - Malissa J. Wood
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Massachusetts General Hospital, Boston
- Lee Health, Fort Myers, Florida
| | - Nandita S. Scott
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Massachusetts General Hospital, Boston
| | - Colleen M. Harrington
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Massachusetts General Hospital, Boston
| | - Amy A. Sarma
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Massachusetts General Hospital, Boston
| | - Emily S. Lau
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Massachusetts General Hospital, Boston
| | - Jason D. Roh
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Massachusetts General Hospital, Boston
| | - James L. Januzzi
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Massachusetts General Hospital, Boston
- Baim Institute for Clinical Research, Boston, Massachusetts
| | - Pradeep Natarajan
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Massachusetts General Hospital, Boston
| | - Michael C. Honigberg
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Cardiovascular Research Center, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Massachusetts General Hospital, Boston
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Giorgione V, Di Fabrizio C, Giallongo E, Khalil A, O'Driscoll J, Whitley G, Kennedy G, Murdoch CE, Thilaganathan B. Angiogenic markers and maternal echocardiographic indices in women with hypertensive disorders of pregnancy. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 63:206-213. [PMID: 37675647 DOI: 10.1002/uog.27474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/11/2023] [Accepted: 08/24/2023] [Indexed: 09/08/2023]
Abstract
OBJECTIVE The maternal cardiovascular system of women with hypertensive disorders of pregnancy (HDP) can be impaired, with higher rates of left ventricular (LV) remodeling and diastolic dysfunction compared to those with normotensive pregnancy. The primary objective of this prospective study was to correlate cardiac indices obtained by transthoracic echocardiography (TTE) and circulating angiogenic markers, such as soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF). METHODS In this study, 95 women with a pregnancy complicated by HDP and a group of 25 with an uncomplicated pregnancy at term underwent TTE and blood tests to measure sFlt-1 and PlGF during the peripartum period (before delivery or within a week of giving birth). Spearman's rank correlation was used to derive correlation coefficients between biomarkers and cardiac indices in the HDP and control populations. RESULTS The HDP group included 61 (64.2%) pre-eclamptic patients and, among them, 42 (68.9%) delivered before 37 weeks' gestation. Twelve women with HDP (12.6%) underwent blood sampling and TTE after delivery, and, as they showed significantly lower levels of angiogenic markers, they were excluded from the analysis. There was a correlation between sFlt-1 and LV mass index (LVMI) (r = 0.246; P = 0.026) and early diastolic mitral inflow velocity (E) and early diastolic mitral annular velocity (e') ratio (r = 0.272; P = 0.014) in the HDP group (n = 83), while in the controls, sFlt-1 showed a correlation with relative wall thickness (r = 0.409; P = 0.043), lateral e' (r = -0.562; P = 0.004) and E/e' ratio (r = 0.417; P = 0.042). PlGF correlated with LVMI (r = -0.238; P = 0.031) in HDP patients and with lateral e' (r = 0.466; P = 0.022) in controls. sFlt-1/PlGF ratio correlated with lateral e' (r = -0.568; P = 0.004) and E/e' ratio (r = 0.428; P = 0.037) in controls and with LVMI (r = 0.252; P = 0.022) and E/e' ratio (r = 0.269; P = 0.014) in HDP. CONCLUSIONS Although the current data are not able to infer causality, they confirm the intimate relationship between the maternal cardiovascular system and angiogenic markers that are used both to diagnose and indicate the severity of HDP. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- V Giorgione
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
| | - C Di Fabrizio
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
- Division of Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - E Giallongo
- Intensive Care National Audit & Research Centre, London, UK
| | - A Khalil
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
| | - J O'Driscoll
- Department of Cardiology, St George's University Hospitals NHS Foundation Trust, London, UK
- School of Psychology and Life Sciences, Canterbury Christ Church University, Kent, UK
| | - G Whitley
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
| | - G Kennedy
- Immunoassay Biomarker Core Laboratory, School of Medicine, University of Dundee, Dundee, UK
| | - C E Murdoch
- Division of Systems Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - B Thilaganathan
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
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