Literature DB >> 35060248

Sex differences in proteomic correlates of coronary microvascular dysfunction among patients with heart failure and preserved ejection fraction.

Chanchal Chandramouli1,2, Tay W Ting1, Jasper Tromp1,3, Anubha Agarwal4, Sara Svedlund5, Antti Saraste6, Camilla Hage7, Ru-San Tan1, Lauren Beussink-Nelson4, Maria Lagerström Fermer8, Li-Ming Gan8, Lars Lund7, Sanjiv J Shah4, Carolyn S P Lam1,2,3,9.   

Abstract

AIMS: Little information is available on sex differences in coronary microvascular dysfunction (CMD) in heart failure with preserved ejection fraction (HFpEF). We investigated sex-specific proteomic profiles associated with CMD in patients with HFpEF. METHODS AND
RESULTS: Using the prospective multinational PROMIS-HFpEF study (Prevalence of Microvascular Dysfunction in HFpEF; n = 182; 54.6% women), we compared clinical and biomarker correlates of CMD (defined as coronary flow reserve [CFR] <2.5) between men and women with HFpEF. We used lasso penalized regression to analyse 242 biomarkers from high-throughput proximity extension assays, adjusting for age, body mass index, creatinine, smoking and study site. The prevalence of CMD was similarly high in men and women with HFpEF (77% vs. 70%; p = 0.27). Proteomic correlates of CFR differed by sex, with 10 versus 16 non-overlapping biomarkers independently associated with CFR in men versus women, respectively. In men, proteomic correlates of CFR included chemokine ligand 20, brain natriuretic peptide, proteinase 3, transglutaminase 2, pregnancy-associated plasma protein A and tumour necrosis factor receptor superfamily member 14. Among women, the strongest proteomic correlates with CFR were insulin-like growth factor-binding protein 1, phage shock protein D, CUB domain-containing protein 1, prostasin, decorin, FMS-like tyrosine kinase 3, ligand growth differentiation factor 15, spondin-1, delta/notch-like epidermal growth factor-related receptor and tumour necrosis factor receptor superfamily member 13B. Pathway analyses suggested that CMD was related to the inflammation-mediated chemokine and cytokine signalling pathway among men with HFpEF, and the P13-kinase and transforming growth factor-beta signalling pathway among women with HFpEF.
CONCLUSION: While the prevalence of CMD among men and women with HFpEF is similar, the drivers of microvascular dysfunction may differ by sex. The current inflammatory paradigm of CMD in HFpEF potentially predominates in men, while derangement in ventricular remodelling and fibrosis may play a more important role in women.
© 2022 The Authors. European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.

Entities:  

Keywords:  Coronary microvascular dysfunction; Heart failure with preserved ejection fraction; Sex differences; Women

Mesh:

Substances:

Year:  2022        PMID: 35060248      PMCID: PMC9303712          DOI: 10.1002/ejhf.2435

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   17.349


Introduction

Coronary microvascular dysfunction (CMD) is common in heart failure with preserved ejection fraction (HFpEF) and associated with greater severity of heart failure and systemic endothelial dysfunction. Sex differences in heart failure are well‐known, with women outnumbering men with HFpEF, and prominent sex‐by‐treatment interaction found in the largest HFpEF outcome trial to date. Yet, sex differences in CMD in HFpEF have not been well‐studied. We hypothesized that circulating proteomic correlates of CMD may differ by sex, and illustrate potential sex‐specific pathophysiologic mechanisms underlying CMD in HFpEF. We compared the clinical and circulating proteomic correlates of CMD between men and women with HFpEF.

Methods

Among men and women with a validated diagnosis of HFpEF (left ventricular ejection fraction ≥50% in the absence of unrevascularized epicardial coronary artery disease) in the prospective multinational PROMIS‐HFpEF study (Prevalence of Microvascular Dysfunction in HFpEF), coronary flow reserve (CFR, adenosine‐induced hyperaemic flow velocity divided by resting coronary flow velocity) was measured with adenosine stress transthoracic echocardiography, as described previously. Doppler echocardiography for assessment of CFR has been validated, is reproducible and is endorsed by the European Society of Cardiology. , CMD was defined as CFR < 2.5. Among 182 patients with available blood samples, 265 proteins were measured using high‐throughput proximity extension assays (Olink Proseek Multiplex cardiovascular II and III, and inflammation 96 × 96 kits) at a central Olink Proteomics laboratory in Sweden. We excluded 23 proteins with values below the assay detection limit (<15%). Deidentified biomarker data were subsequently merged with patients' clinical data for analysis. To assess the association between CFR and proteins, we used lasso penalized regression analyses including 242 biomarkers adjusting for age, body mass index, creatinine, smoking and study site (to reflect regional variation in HFpEF phenotype). Analyses were performed with R version 3.4.0. A 2‐sided p‐value of < 0.05 was considered statistically significant. We corrected for multiple testing using the Benjamini–Hochberg method. We identified the functional classifications of differentially expressed proteins using their gene names as input for the PANTHER annotation tool in men and women separately. Written informed consent from all study participants and ethics approval from institutional review boards at participating sites were obtained. The PROMIS‐HFpEF study complies with the Declaration of Helsinki.

Results

Among 182 patients with HFpEF (mean age 74.2 ± 8.8 years, 57% women), men and women had similar prevalence of CMD (77 vs. 70%, p = 0.27; online supplementary Table ). Hyperaemic flow rates were similar between the two sexes, but mean baseline flow velocity was lower in women than men with HFpEF (8.8 ± 3.1 vs. 9.8 ± 3.3 m/s, p = 0.041). Presence of CMD was associated with higher troponin T levels (adjusted odds ratio [OR] 1.04 per ng/ml increase; 95% confidence interval [CI] 1.00–1.08) and atrial fibrillation (adjusted OR 2.26; 95% CI 1.04–4.92) in both men and women (p interaction >0.1 for both). Smoking was associated with CMD in men (adjusted OR 11.9; 95% CI 2.76–51.9) but not in women (adjusted OR 1.77; 95% CI 0.65–4.82) (p interaction = 0.015), after adjusting for age, body mass index, atrial fibrillation, diabetes, revascularized coronary artery disease, troponin T levels and left ventricular mass. Proteomic correlates of CFR differed by sex, with 10 versus 16 non‐overlapping biomarkers independently associated with CFR in men versus women, respectively, in lasso penalized regression models (Figure  , penalized β > 0). In men, chemokine ligand 20, proteinase 3, pregnancy‐associated plasma protein A (PAPP‐A), brain natriuretic peptide, transglutaminase 2, interleukin‐6, elafin, tumour necrosis factor receptor superfamily member 14, cluster of differentiation 93 and epithelial cell adhesion molecule were significantly associated with CFR. In contrast, the strongest proteomic correlates of CFR among women were insulin‐like growth factor‐binding protein 1, phage shock protein D, CUB domain‐containing protein 1, prostasin, decorin, FMS‐like tyrosine kinase 3 ligand, growth differentiation factor 15, spondin‐1, delta/notch‐like epidermal growth factor‐related receptor and tumour necrosis factor receptor superfamily member 13B. Functional classification analyses suggested that proteins related to CMD in men were associated with the inflammation‐mediated chemokine and cytokine signalling pathways (Figure  ). In contrast, proteins associated with CMD in women were related to the P13‐kinase and transforming growth factor‐beta signalling pathway (Figure  ).
Figure 1

Volcano plots in men (A) and women (B) with heart failure and preserved ejection fraction (HFpEF) showing biomarkers (labelled) selected to be associated with coronary microvascular dysfunction (CMD) (coronary flow reserve [CFR] < 2.5) by lasso penalized regression analyses. The y‐axis shows the −log10 of the false discovery rate‐corrected p‐values for the associations of individual biomarkers with CMD (CFR <2.5) versus no CMD. The x‐axis shows the log2 of the fold changes of the respective biomarker differences between individuals with and without CMD. Bar graphs show functional classification analyses of differentially expressed proteins in men (C) and women (D) with HFpEF. BNP, brain natriuretic peptide; CCL20, chemokine ligand 20; CD93, cluster of differentiation 93; CDCP1, CUB domain‐containing protein 1; CTSL1, cathepsin L1; DCN, decorin; DNER, delta/notch‐like epidermal growth factor‐related receptor; EpCAM, epithelial cell adhesion molecule; Flt3L, FMS‐like tyrosine kinase 3 ligand; GDF15, growth differentiation factor 15; GIF, gastric intrinsic factor; IGFBP1, insulin‐like growth factor‐binding protein 1; IGFBP7, insulin‐like growth factor binding protein 7; IL6, interleukin‐6; JAM‐A, junctional adhesion molecule A; KIM1, kidney injury molecule 1; MMP9, metalloproteinase‐9; PAPP‐A, pregnancy‐associated plasma protein A; PI3, elafin; PRSS8, prostasin; PRTN3, proteinase 3; PSPD, phage shock protein D; SPON1, spondin‐1; TFPI, tissue factor pathway inhibitor; TGM2, transglutaminase 2; TNFSF13B, tumour necrosis factor receptor superfamily member 13B; TNFSF14, tumour necrosis factor receptor superfamily member 14.

Volcano plots in men (A) and women (B) with heart failure and preserved ejection fraction (HFpEF) showing biomarkers (labelled) selected to be associated with coronary microvascular dysfunction (CMD) (coronary flow reserve [CFR] < 2.5) by lasso penalized regression analyses. The y‐axis shows the −log10 of the false discovery rate‐corrected p‐values for the associations of individual biomarkers with CMD (CFR <2.5) versus no CMD. The x‐axis shows the log2 of the fold changes of the respective biomarker differences between individuals with and without CMD. Bar graphs show functional classification analyses of differentially expressed proteins in men (C) and women (D) with HFpEF. BNP, brain natriuretic peptide; CCL20, chemokine ligand 20; CD93, cluster of differentiation 93; CDCP1, CUB domain‐containing protein 1; CTSL1, cathepsin L1; DCN, decorin; DNER, delta/notch‐like epidermal growth factor‐related receptor; EpCAM, epithelial cell adhesion molecule; Flt3L, FMS‐like tyrosine kinase 3 ligand; GDF15, growth differentiation factor 15; GIF, gastric intrinsic factor; IGFBP1, insulin‐like growth factor‐binding protein 1; IGFBP7, insulin‐like growth factor binding protein 7; IL6, interleukin‐6; JAM‐A, junctional adhesion molecule A; KIM1, kidney injury molecule 1; MMP9, metalloproteinase‐9; PAPP‐A, pregnancy‐associated plasma protein A; PI3, elafin; PRSS8, prostasin; PRTN3, proteinase 3; PSPD, phage shock protein D; SPON1, spondin‐1; TFPI, tissue factor pathway inhibitor; TGM2, transglutaminase 2; TNFSF13B, tumour necrosis factor receptor superfamily member 13B; TNFSF14, tumour necrosis factor receptor superfamily member 14.

Discussion

The prevalence of CMD was similarly high in men and women with HFpEF in the absence of unrevascularized macrovascular coronary artery disease. Clinical correlates of CMD were broadly similar between the sexes except for smoking. Yet, biomarkers associated with CMD were notably different, with a predominance of inflammatory biomarkers in men and fibrotic biomarkers in women. Of note, while the hyperaemic coronary flow rates were similar between the sexes, mean baseline coronary flow rate was lower in women than men with HFpEF, resulting in higher CFR (i.e. ratio of hyperaemic to baseline flow rates) in women than men. Our findings extend prior reports of sex differences in invasive measures of CMD among patients with angina in the absence of obstructive coronary artery disease, as well as sex differences in myocardial blood flow assessed by positron emission tomography myocardial perfusion imaging among patients referred for suspected coronary artery disease. Our previous report on circulating biomarkers associated with CMD in HFpEF identified PAPP‐A as a critical biomarker of reduced CFR. This study elucidates the significant association of PAPP‐A with CMD in men but not women with HFpEF. PAPP‐A is a zinc binding metalloproteinase, identified as a marker for coronary artery disease and acute coronary syndrome. PAPP‐A is elevated in unstable atherosclerosis and found to be associated with higher risk of ischaemic events. In the current study, men with HFpEF had higher prevalence of prior revascularized coronary artery disease (31.9% vs. 9.0%) and more inflammatory biomarker profile than women with HFpEF. To our knowledge, this is the first study to investigate sex differences in biomarkers associated with CMD among patients with HFpEF. Study limitations include inferences that are limited to circulating protein biomarkers, which were pre‐selected cardiovascular and inflammation markers in the assay panels. Specific inflammatory biomarkers such as erythrocyte sedimentation rate and procalcitonin were not available. Absolute biomarker levels were not quantified in this study. While the prevalence of CMD in men and women with HFpEF is similar, the drivers of microvascular dysfunction appear to differ by sex. The current inflammatory paradigm of CMD in HFpEF potentially predominates in men, who may therefore be less responsive to neurohormonal modulation. On the other hand, derangement in ventricular remodelling and fibrosis may play a more important role in the pathogenesis of CMD among women with HFpEF, who may accordingly be more responsive to reverse remodelling by neurohormonal modulation. The hypothesis‐generating findings from this explorative analysis warrant further investigation in future studies to elucidate the sex‐specific modulations of each identified target. Conflict of interest: C.S.P.L. reports grants from National Medical Research Council Singapore; non‐financial support from Boston Scientific, Thermofisher, Vifor Pharma; non‐financial support and other from Bayer; and other from Takeda, Merck, AstraZeneca, Janssen Research & Development, LLC, Menarini, Boehringer Ingelheim, Abbott Diagnostics, DC Devices, PCT/SG2016/050217 Patent pending, outside the submitted work. All other authors have nothing to disclose. Table S1. Supplementary Table. Click here for additional data file.
  9 in total

1.  2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology.

Authors:  Gilles Montalescot; Udo Sechtem; Stephan Achenbach; Felicita Andreotti; Chris Arden; Andrzej Budaj; Raffaele Bugiardini; Filippo Crea; Thomas Cuisset; Carlo Di Mario; J Rafael Ferreira; Bernard J Gersh; Anselm K Gitt; Jean-Sebastien Hulot; Nikolaus Marx; Lionel H Opie; Matthias Pfisterer; Eva Prescott; Frank Ruschitzka; Manel Sabaté; Roxy Senior; David Paul Taggart; Ernst E van der Wall; Christiaan J M Vrints; Jose Luis Zamorano; Stephan Achenbach; Helmut Baumgartner; Jeroen J Bax; Héctor Bueno; Veronica Dean; Christi Deaton; Cetin Erol; Robert Fagard; Roberto Ferrari; David Hasdai; Arno W Hoes; Paulus Kirchhof; Juhani Knuuti; Philippe Kolh; Patrizio Lancellotti; Ales Linhart; Petros Nihoyannopoulos; Massimo F Piepoli; Piotr Ponikowski; Per Anton Sirnes; Juan Luis Tamargo; Michal Tendera; Adam Torbicki; William Wijns; Stephan Windecker; Juhani Knuuti; Marco Valgimigli; Héctor Bueno; Marc J Claeys; Norbert Donner-Banzhoff; Cetin Erol; Herbert Frank; Christian Funck-Brentano; Oliver Gaemperli; José R Gonzalez-Juanatey; Michalis Hamilos; David Hasdai; Steen Husted; Stefan K James; Kari Kervinen; Philippe Kolh; Steen Dalby Kristensen; Patrizio Lancellotti; Aldo Pietro Maggioni; Massimo F Piepoli; Axel R Pries; Francesco Romeo; Lars Rydén; Maarten L Simoons; Per Anton Sirnes; Ph Gabriel Steg; Adam Timmis; William Wijns; Stephan Windecker; Aylin Yildirir; Jose Luis Zamorano
Journal:  Eur Heart J       Date:  2013-08-30       Impact factor: 29.983

2.  Biomarker Correlates of Coronary Microvascular Dysfunction in Heart Failure With Preserved Ejection Fraction.

Authors:  Jasper Tromp; Camilla Hage; Wouter Ouwerkerk; Sandra Sanders-van Wijk; Sara Svedlund; Antti Saraste; Ulrika Ljung Faxén; Maria Lagerstrom Fermer; Li-Ming Gan; Lars H Lund; Sanjiv J Shah; Carolyn S P Lam
Journal:  Circulation       Date:  2019-10-14       Impact factor: 29.690

3.  Effects of sex on coronary microvascular dysfunction and cardiac outcomes.

Authors:  Venkatesh L Murthy; Masanao Naya; Viviany R Taqueti; Courtney R Foster; Mariya Gaber; Jon Hainer; Sharmila Dorbala; Ron Blankstein; Ornella Rimoldi; Paolo G Camici; Marcelo F Di Carli
Journal:  Circulation       Date:  2014-04-30       Impact factor: 29.690

4.  Sex differences in heart failure.

Authors:  Carolyn S P Lam; Clare Arnott; Anna L Beale; Chanchal Chandramouli; Denise Hilfiker-Kleiner; David M Kaye; Bonnie Ky; Bernadet T Santema; Karen Sliwa; Adriaan A Voors
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5.  Pregnancy-associated plasma protein A as a marker of acute coronary syndromes.

Authors:  A Bayes-Genis; C A Conover; M T Overgaard; K R Bailey; M Christiansen; D R Holmes; R Virmani; C Oxvig; R S Schwartz
Journal:  N Engl J Med       Date:  2001-10-04       Impact factor: 91.245

6.  Angiotensin-Neprilysin Inhibition in Heart Failure with Preserved Ejection Fraction.

Authors:  Scott D Solomon; John J V McMurray; Inder S Anand; Junbo Ge; Carolyn S P Lam; Aldo P Maggioni; Felipe Martinez; Milton Packer; Marc A Pfeffer; Burkert Pieske; Margaret M Redfield; Jean L Rouleau; Dirk J van Veldhuisen; Faiez Zannad; Michael R Zile; Akshay S Desai; Brian Claggett; Pardeep S Jhund; Sergey A Boytsov; Josep Comin-Colet; John Cleland; Hans-Dirk Düngen; Eva Goncalvesova; Tzvetana Katova; Jose F Kerr Saraiva; Małgorzata Lelonek; Bela Merkely; Michele Senni; Sanjiv J Shah; Jingmin Zhou; Adel R Rizkala; Jianjian Gong; Victor C Shi; Martin P Lefkowitz
Journal:  N Engl J Med       Date:  2019-09-01       Impact factor: 91.245

7.  Effect of Sex Differences on Invasive Measures of Coronary Microvascular Dysfunction in Patients With Angina in the Absence of Obstructive Coronary Artery Disease.

Authors:  Yuhei Kobayashi; William F Fearon; Yasuhiro Honda; Shigemitsu Tanaka; Vedant Pargaonkar; Peter J Fitzgerald; David P Lee; Marcia Stefanick; Alan C Yeung; Jennifer A Tremmel
Journal:  JACC Cardiovasc Interv       Date:  2015-09       Impact factor: 11.195

8.  Prevalence and correlates of coronary microvascular dysfunction in heart failure with preserved ejection fraction: PROMIS-HFpEF.

Authors:  Sanjiv J Shah; Carolyn S P Lam; Sara Svedlund; Antti Saraste; Camilla Hage; Ru-San Tan; Lauren Beussink-Nelson; Ulrika Ljung Faxén; Maria Lagerström Fermer; Malin A Broberg; Li-Ming Gan; Lars H Lund
Journal:  Eur Heart J       Date:  2018-10-01       Impact factor: 29.983

9.  Coronary flow velocity reserve by echocardiography: feasibility, reproducibility and agreement with PET in overweight and obese patients with stable and revascularized coronary artery disease.

Authors:  Rasmus Huan Olsen; Lene Rørholm Pedersen; Martin Snoer; Thomas Emil Christensen; Adam Ali Ghotbi; Philip Hasbak; Andreas Kjaer; Steen B Haugaard; Eva Prescott
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  9 in total
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Review 1.  Genomic, Proteomic, and Metabolic Comparisons of Small Animal Models of Heart Failure With Preserved Ejection Fraction: A Tale of Mice, Rats, and Cats.

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