# Finerenone effects on biomarkers: an analysis from the FIGARO-DKD trial

Mario Berger, Aidan Macnamara, João Pedro Ferreira, Peter Kolkhof, Sebastian Voss, Adam Skubala, Andrea Scalise, Laura Goea, Richard Nkulikiyinka, Bertram Pitt, et al.

► To cite this version:

Mario Berger, Aidan Macnamara, João Pedro Ferreira, Peter Kolkhof, Sebastian Voss, et al. Finerenone effects on biomarkers: an analysis from the FIGARO-DKD trial. European Heart Journal, 2025, 10.1093/eurheartj/ehaf316. hal-05093896

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# Finerenone effects on biomarkers: an analysis from the FIGARO-DKD trial

Mario Berger ID <fnref n="1" />*, Aidan MacNamara ID <fnref n="1" />, João Pedro Ferreira ID ²,³, Peter Kolkhof ID <fnref n="1" />, Sebastian Voss ID ⁴, Adam Skubala ID <fnref n="1" />, Andrea Scalise ID ⁵, Laura Goea ID <fnref n="1" />, Richard Nkulikiyinka ID <fnref n="1" />, Bertram Pitt ID ⁶, Joachim Hanno Ix⁷, Peter Rossing ID ⁸, Richard John Mark Coward ID ⁹, Faiez Zannad ID ³, and Hiddo J. L. Heerspink ID ¹⁰

Received 2 December 2024; revised 23 January 2025; accepted 23 April 2025

## Keywords

Extracellular matrix remodelling • Fibrosis • Finerenone • MRA • Neuropeptide Y • Proteomics

## Introduction

Finerenone is a non-steroidal mineralocorticoid receptor antagonist (MRA) selective for the MR.<fnref n="1" /> In three large outcome trials, finerenone improved cardiovascular (CV) and kidney outcomes in patients with chronic kidney disease (CKD) and Type 2 diabetes (T2D), and reduced the risk for the composite endpoint of total heart failure events and CV death in heart failure patients with ejection fraction ≥40.²⁻⁴ In animal models of cardiorenal disease, finerenone treatment ameliorated cardiac and renal hypertrophy, reduced sodium retention and proteinuria. Along with histological findings of structural improvement in heart and kidneys, several inflammation and fibrosis-associated biomarkers were reduced by finerenone.<fnref n="1" /> Less is known about the proteomic profile of finerenone in humans. Hence, this study describes the longitudinal effects of finerenone on the plasma proteome in patients with CKD and T2D.

## Methods

This is a post hoc analysis of the biomarker sub-study to the Phase III trial, FIGARO-DKD.³ It included 929 subjects from 115 clinical sites in 21 countries; site selection was based on above-average recruitment. 2941 biomarkers were measured in a total of 4193 samples on Olink Explore3072. All participants had been on treatment with either placebo or finerenone for ≥24 months and samples from the first post-randomization visit (month 4[M4]), up to month 48 after treatment initiation were analysed. Baseline samples were not available.

Finerenone effects were assessed using linear mixed models for repeated measurements including treatment, visit, their interaction, and sex as fixed effects. Biomarkers were considered responsive to finerenone (vs placebo) if between-group differences in least squares means were statistically significant on at least one sampling timepoint (4–48 months) after adjusting for multiple testing [false discovery rate (FDR) $q \le 0.01$].

Finerenone-responsive biomarkers were used for pathway enrichment with the R package bc3net.⁵ Briefly, known biological pathways were queried to test for enriched pathways in the input set of biomarkers while adjusting for background to account for the bias in protein selection within Olink's platform.

## Results

The median age of study participants was 64 years (interquartile range 59–70) and 75% were men. At baseline, the median estimated glomerular filtration rate (eGFR) was 65.3 mL/min/1.73 m² (interquartile range, 49.4–81.3), >97% of subjects were albuminuric (urinary albumin-to-creatinine ratio $\ge 30$ mg/g), and overall comparable to the parent trial.³ 17.3% of patients were hospitalized for cardiovascular diseases (CVD) and 34.6% had a history of CVD prior to randomization. All participants had CKD and T2D, and were on renin-angiotensin-aldosterone-system (RAAS) inhibitors.³ Of 929 patients, 474 (51%) received finerenone and 455 (49%) placebo.

Renin-angiotensin-aldosterone-system effectors like renin, its substrate angiotensinogen, and the precursor of the key aldosterone stimulator adrenocorticotropin, POMC, were consistently modulated

<footnote n="1">¹Bayer AG, Pharmaceuticals, R&D, Wuppertal/Berlin, Germany; ²Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Cardiovascular Research and Development Center (UnIC@RISE), Porto, Portugal; ³Inserm, Université de Lorraine, Centre d'Investigations Cliniques, Plurithématique 14-33, and Inserm U1116, CHRU Nancy, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France; ⁴Chrestos GmbH, Biomarker Statistics and Data Science Department, Essen, Germany; ⁵Bayer Hispania, S.L., Clinical Development, Barcelona, Spain; ⁶Department of Medicine, University of Michigan School of Medicine, Ann Arbor, MI, USA; ⁷Department of Medicine, University of California San Diego and Veterans Affairs San Diego Healthcare System, San Diego, CA, USA; ⁸Steno Diabetes Center Copenhagen, Herlev, and University of Copenhagen, Copenhagen, Denmark; ⁹Bristol Renal, University of Bristol, Bristol, UK; and ¹⁰Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, The Netherlands</footnote>

<footnote>* Corresponding author. Email: mario.berger@bayer.com</footnote>

<footnote>© The Author(s) 2025. Published by Oxford University Press on behalf of the European Society of Cardiology.</footnote>

<footnote>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.</footnote>
<figure><img src="image_2.png" /><figcaption>**Figure 1** Finerenone elicits a stable longitudinal biomarker response and appears to modulate remodelling and RAAS-associated pathways. (A) Volcano plots illustrating the treatment effect of finerenone on biomarkers and routine laboratory parameters across time. X-axis: Difference in treatment effect estimates between finerenone and placebo group from linear mixed models (on log2 scale). Y-axis: nominal *P*-value (−log10). TOP28 markers (i.e. biomarkers which demonstrated a statistically significant treatment response at the level of 1% after adjusting for multiple testing (finerenone vs placebo, false discovery rate [FDR] *q* ≤ 0.01) at all timepoints from Month 4 to Year 4) are shown in blue, remaining TOP273 markers (FDRq ≤ 0.01 at ≥1 timepoint) in black, Lab parameters in red and all remaining markers of the Olink panel in grey. Filled symbols (•) indicate biomarkers with a significant between-group difference (FDRq ≤ 0.01) at ≥2 consecutive timepoints. Biomarker labelling threshold: *P* ≤ 10e-6. Markers in bold print are mentioned in the manuscript text. (B) Venn diagram showing the number of significantly modulated biomarkers at ≥1 (TOP273), ≥2 or 5 timepoints. Continued</figcaption></figure>
by finerenone, along with subtle changes in electrolytes ($K^+/Na^+$), indicative of MR blockade and feedback regulation (Figure 1A). Altogether, 273 biomarkers differed between treatment arms (FDRq ≤ 0.01) at ≥1 timepoint, 156 markers at ≥2 consecutive timepoints, and 28 markers at all timepoints up to year 4 (Figure 1A and B). Figure 1C shows the treatment effect magnitude for the most consistently different 28 markers. Among these, neuropeptide Y (NPY), B-type natriuretic peptides, and U(biquitous)-type mitochondrial creatine kinase (CKMT1A/B) appeared most-downregulated by finerenone, whereas apolipoprotein-L1 (APOL1), the small GTPase Rab-6A (RAB6A) and CD69 were most elevated in finerenone-randomized patients. Overall, biomarkers with most significant between-group difference (FDRq < 10⁻²⁰ at any timepoint) were: NPY, neurotrophin-3 (NTF3), RAB6A, APOL1, the protease inhibitor SPINT2, and angiopoietin-related protein 2 (ANGPTL2). Exemplary trajectories are shown in Figure 1D.

We then performed pathway enrichment. Extracellular matrix remodelling pathways (blue clusters, Figure 1E) were most significantly enriched at ≥2 years after treatment initiation (FDRq < 0.01). Drivers of this enrichment included fibronectin and osteopontin; both are well-known fibrosis biomarkers and were consistently lower in the finerenone arm. Other enriched pathways included mineralocorticoid secretion and its haemodynamic actions (purple clusters), re-affirming target engagement, and also coagulation/hemostasis (green).

## Discussion

Finerenone appeared to modulate a multitude of circulating proteins. Pathway enrichment suggested that many of them are involved in haemodynamic control and fibrosis-associated processes, supporting previous literature on antifibrotic and RAAS-modulating properties of MRAs.<sup>1,7</sup> Interestingly, NPY, a neurohormone with pleiotropic functions and vasoconstrictor properties, was strongly suppressed by finerenone in this population. Elevated plasma NPY has been associated with adverse cardiac remodelling<sup>8,9</sup> and kidney disease progression.<sup>10</sup> Mechanistic work demonstrated that knockout or blockade of NPY protects from albuminuric kidney disease.<sup>10</sup> It has also been suggested that NPY can directly modulate adrenal aldosterone release,<sup>11</sup> but not thus far that altered aldosterone or MR blockade affect circulating NPY. Downregulation of NTF3 by finerenone may be linked as vascular-derived NTF3 reportedly modulates NPY in sympathetic neurones

innervating blood vessels,<sup>12</sup> thereby likely affecting vascular tone. Other treatment-responsive markers detected included CD69 (T cell activation marker), ANGPTL2 (proinflammatory adipokine), CKMT1A/B (ubiquitous mitochondrial creatine kinase), RAB6 (intracellular transporter) and APOL1 (component of HDL cholesterol). CD69 and ANGPTL2 have previously been studied in the context of immunomodulation in CKD/CVD.<sup>13⁻¹⁵</sup> CKMT1A/B is central for cellular energy homeostasis by forming phosphocreatine which serves as fuel for tissues with high energy demand.<sup>16</sup> RAB6 is involved in vesicular traffic in secretory pathways and mediates NPY exocytosis *in vitro*.<sup>17</sup> Rab GTPases also participate in aldosterone-dependent relocalization of ion channels<sup>18</sup> suggesting a possible crosstalk between aldosterone/MR and upstream neurohormonal secretion. Apolipoprotein-L1 dysfunction has been heavily implicated in proteinuric CKD progression in African-Americans.<sup>19</sup> Exploring possible mechanistic roles of these markers and their interplay in cardiorenal disease progression will be of interest.

Although we compared plasma biomarker levels between treatment arms without adjusting for interindividual differences at baseline, randomization into the parent trial is expected to result in balanced phenotypes and biomarker levels at treatment start. Consequently, any differences between treatment groups at later timepoints are likely true differences. Sensitivity analyses adjusting for baseline CV risk factors or investigating effects post-month 4 provided highly comparable results supporting this assumption (data not shown). We acknowledge that the results presented here should be further validated in mechanistic models and prospective randomized trials to address their clinical relevance and how they may impact future clinical practice.

In conclusion, finerenone's action is not restricted to RAAS and downstream targets of the MR/aldosterone transcription factor complex but extends to upstream neurohormonal, hemostasis, energy metabolism, immune-related and remodelling-associated pathways. Their modulation may contribute to finerenone's clinical benefits in patients with cardiorenal disease.

## Acknowledgements

The authors and study sponsor thank the patients for their participation in this study, and study personnel. We also thank Lydia Christopher and the study team (Bayer) for excellent study management, Dr Meike Brinker, and Dr Patrick Schloemer (both Bayer) for

**Figure 1** Continued

(TOP28; finerenone vs placebo, FDRq ≤ 0.01). (C) Forest plot showing the TOP28 biomarkers ranked by effect size vs the treatment effect difference from the linear mixed models as in (A) for each timepoint. Lowest FDRq (Month 4 to Year 4) is given for each marker; significance ranks 1–6 are highlighted in purple. (D) Time trajectories of biomarker concentrations given as Least Squares Means (adjusted, log2-scaled NPX units, zero-centered to placebo at Month 4) by treatment arm: finerenone (magenta), placebo (blue). Relative difference (%) between finerenone and placebo is shown at the top along with *P* and FDRq value (based on the between-group difference from linear mixed models). *N* (next to marker): number of measurements (subjects) per timepoint. (E) Bubble plot of enriched pathway clusters: Sets of treatment-responsive markers at each given timepoint were used for temporal pathway enrichment and the resulting pathways (*P* < .01) were grouped by similarity (i.e. how similar each pathway is in terms of member biomarkers), ranked by FDRq value. The top ten pathway families are shown along with the most significant pathway (at any point in time) in each cluster (with pathway ID).<sup>6</sup> Clusters were manually grouped (blue, purple, and green) and annotated based on review of member pathways. Exemplary biomarker names are given for the three groups: ECM/fibrosis, MR/RAAS, Coagulation, AGT, angiotensinogen, ALB, albumin (serum or plasma); ALK, alkaline phosphatase; ANGPTL2, angiopoietin-related protein 2; APOL1, Apolipoprotein-L1; BUN, blood urea nitrogen; CK, creatine kinase; CRP, C-reactive protein; ECM, extracellular matrix; FDRq, false discovery rate *q* value; FGA: Fibrinogen, alpha chain; FN1, fibronectin; $K^+$, potassium (serum); LDH, lactate dehydrogenase; LS, Least Squares (Means); MC, mineralocorticoid; $Na^+$, sodium (serum); NPPB, B-type natriuretic peptides (BNP); NPX, Normalized Protein eXpression (Olink unit); NPY, neuropeptide Y; NTF3, neurotrophin-3; PLAT, tissue-type plasminogen activator; POMC, pro-adrenocorticotropin; sig., significant; SPP1, osteopontin; TP, total protein (serum); UACR, urinary albumin-to-creatinine ratio. Otherwise gene names are used. Vertical lines (A–C) ±10% treatment effect threshold (on linear scale)
critically reading the manuscript. Partial administrative and graphical support was provided by Hussain Merchant, MSc, of Scion (a division of Prime, London, UK), supported by Bayer AG according to Good Publication Practice. Some parts of this manuscript were first presented at the American Society of Nephrology (ASN) annual meeting in Philadelphia in November 2023.

# Supplementary data

Supplementary data are not available at *European Heart Journal* online.

# Declarations

## Disclosure of Interest

M.B., A.M., P.K., L.G., and A.Sk. are employees of Bayer AG, Pharmaceuticals, Germany. S.V. is an employee of Chrestos Concept, a contract partner of Bayer. A.Sc. is an employee of Bayer, Pharmaceuticals, Spain. P.K. holds US and European patents relating to finerenone (US8436180B2 and EP2132206B1); J.P.F. has received research support from Boehringer Ingelheim, Novartis, and AstraZeneca through his institution, the University of Porto and reports consulting fees from Amgen. R.N. was an employee of Bayer AG during the course of the study and reports consulting fees from MultiOmicHealth, GenKardia, and Antag Therapeutics. R.J.M.C. was supported by the UKRI Medical Research Council MR/K010492/1, Kidney Research UK (RP26/2014), and the EU Horizon 2020 programme. B.P. reports consultant fees for AstraZeneca, Bayer, Boehringer Ingelheim, Brainstorm Medical, Cereno Scientific, G3 Pharmaceuticals, KBP Biosciences, PhaseBio, Proton Intel, Sanofi/Lexicon, Sarfez, scPharmaceuticals, SQ Innovation, Tricida, Vifor/Relypsa, Anacardio and Sea star medical; he has stock options for Brainstorm Medical, Cereno Scientific, G3 Pharmaceuticals, KBP Biosciences, Proton Intel, Sarfez, scPharmaceuticals, SQ Innovation, Sea Star medical, Vifor/Relypsa, Protonintel, brain storm Medical; he also holds a patent for site-specific delivery of eplerenone to the myocardium (US patent #9931412) and a provisional patent for histone-acetylation-modulating agents for the treatment and prevention of organ injury (provisional patent US 63/045784). J.H.I. holds an investigator-initiated research grant from Baxter International Inc., serves as a member of a data safety monitoring board for Sanifit Therapeutics, reports travel grants from KDIGO and ASN, is a member of the scientific advisory board for Alpha Young, and has served on advisory boards for AstraZeneca, Ardelyx, Akebia, and Cincor. P.R. received consultancy and/or speaking fees (to Steno Diabetes Center Copenhagen) from Abbott, AstraZeneca, Bayer, Boehringer Ingelheim, Eli Lilly, Gilead, Novo Nordisk, Sanofi Aventis, and Daichii Sankyo, and research grants to SDCC from AstraZeneca Bayer and Novo Nordisk. F.Z. has received personal fees from Boehringer Ingelheim during the conduct of the study; has received personal fees from Janssen, Novartis, Boston Scientific, Amgen, CVRx, AstraZeneca, Vifor Fresenius, Cardior, Cereno Pharmaceutical, Applied Therapeutics, Merck, Bayer, Cellprothera, Lupin, Viatris, Salubris, Ribocure, Owkin, Otsuka, NorthSea, Corteria, Bioetics, and Betagenon; and is cofounder of CVCT and Cardiorenal, outside the submitted work. H.J.L.H. received grants from AstraZeneca, Bayer, Boehringer Ingelheim, Janssen and Novo Nordisk A/S; consulting fees from Alexion, Alnyam, AstraZeneca, Bayer, Boehringer Ingelheim, Chinook, CSL Behring, Dimerix, Eli Lilly, Fresenius, Gilead, Idorsia, Janssen, Novo Nordisk A/S, Novartis and Travere

Therapeutics; honoraria from AstraZeneca and Novo Nordisk A/S; travel and/or other support for attending meetings from AstraZeneca and Eli Lilly.

## Funding

This study (FIGARO-BM, NCT05013008) and the parent trial (FIGARO-DKD, NCT02545049) were fully funded by Bayer AG, Pharmaceuticals, Berlin, Germany. The sponsor was involved in the study design, collection, analysis and interpretation of data, as well as data checking of this study.

## Data Availability

Availability of the data underlying this publication will be determined according to Bayer's commitment to the EFPIA/PhRMA 'Principles for responsible clinical trial data sharing'. This pertains to scope, timepoint and process of data access. As such, Bayer commits to sharing upon request from qualified scientific and medical researchers patient-level clinical trial data, study-level clinical trial data, and protocols from clinical trials in patients for medicines and indications approved in the United States (US) and European Union (EU) as necessary for conducting legitimate research. This applies to data on new medicines and indications that have been approved by the EU and US regulatory agencies on or after 01 January 2014. Interested researchers can use www.vivli.org to request access to anonymized patient-level data and supporting documents from clinical studies to conduct further research that can help advance medical science or improve patient care. Information on the Bayer criteria for listing studies and other relevant information is provided in the member section of the portal. Data access will be granted to anonymized patient-level data, protocols and clinical study reports after approval by an independent scientific review panel. Bayer is not involved in the decisions made by the independent review panel. Bayer will take all necessary measures to ensure that patient privacy is safeguarded.

## Ethical Approval

Ethical approval was obtained in all participating countries; biosamples were analysed only if an informed consent had been signed, in accordance with local ethical and regulatory requirements. This study was conducted in accordance with the following: (i) consensus ethical principles derived from international guidelines including the Declaration of Helsinki and Council for International Organizations of Medical Sciences International Ethical Guidelines; (ii) applicable ICH Good Clinical Practice (GCP) Guidelines; and (iii) applicable laws and regulations.

## Pre-registered Clinical Trial Number

The pre-registered clinical trial number is NCT05013008. https://clinicaltrials.gov/study/NCT05013008.

## References

1. Kolkhof P, Delbeck M, Kretschmer A, Steinke W, Hartmann E, Bärfacker L, et al. Finerenone, a novel selective nonsteroidal mineralocorticoid receptor antagonist protects from rat cardiorenal injury. *J Cardiovasc Pharmacol* 2014;64:69–78. https://doi.org/10.1097/fjc.0000000000000091

2. Bakris GL, Agarwal R, Anker SD, Pitt B, Ruilope LM, Rossing P, et al. Effect of finerenone on chronic kidney disease outcomes in type 2 diabetes. *N Engl J Med* 2020;383:2219–29. https://doi.org/10.1056/NEJMoa2025845

3. Pitt B, Filippatos G, Agarwal R, Anker SD, Bakris GL, Rossing P, et al. Cardiovascular events with finerenone in kidney disease and type 2 diabetes. *N Engl J Med* 2021;385:2252–63. https://doi.org/10.1056/NEJMoa2110956
4. Solomon SD. Finerenone in heart failure with mildly reduced or preserved ejection fraction. *N Engl J Med* 2024; **391**:1475-85. https://doi.org/10.1056/NEJMoa2407107

5. de Matos Simoes R, Emmert-Streib F. Bagging statistical network inference from large-scale gene expression data. *PLoS One* 2012; **7**:e33624. https://doi.org/10.1371/journal.pone.0033624

6. Merico D, Isserlin R, Stueker O, Emili A, Bader GD. Enrichment map: a network-based method for gene-set enrichment visualization and interpretation. *PLoS One* 2010; **5**:e13984. https://doi.org/10.1371/journal.pone.0013984

7. Ferreira JP, Verdonschot J, Wang P, Pizard A, Collier T, Ahmed FZ, et al. Proteomic and mechanistic analysis of spironolactone in patients at risk for HF. *JACC Heart Fail* 2021; **9**:268-77. https://doi.org/10.1016/j.jchu.2020.11.010

8. Medzikovic L, van Roomen C, Baartscheer A, van Loenen PB, de Vos J, Bakker E, et al. Nur77 protects against adverse cardiac remodelling by limiting neuropeptide Y signaling in the sympathoadrenal-cardiac axis. *Cardiovasc Res* 2018; **114**:1617-28. https://doi.org/10.1093/cvr/cvy125

9. Ajijola OA, Chatterjee NA, Gonzales MJ, Gornbein J, Liu K, Li D, et al. Coronary sinus neuropeptide Y levels and adverse outcomes in patients with stable chronic heart failure. *JAMA Cardiol* 2020; **5**:318-25. https://doi.org/10.1001/jamacardio.2019.4717

10. Lay AC, Barrington AF, Hurcombe JA, Ramnath RD, Graham M, Lewis PA, et al. A role for NPY-NPY2R signaling in albuminuric kidney disease. *Proc Natl Acad Sci U S A* 2020; **117**:15862-73. https://doi.org/10.1073/pnas.2004651117

11. Renshaw D, Thomson LM, Carroll M, Kapas S, Hinson JP. Actions of neuropeptide Y on the rat adrenal cortex. *Endocrinology* 2000; **141**:169-73. https://doi.org/10.1210/endo.141.1.7251

12. Damon DH. TH and NPY in sympathetic neurovascular cultures: role of LIF and NT-3. *Am J Physiol Cell Physiol* 2008; **294**:C306-12. https://doi.org/10.1152/ajpcell.00214.2007

13. Martín P, Sánchez-Madrid F. CD69: an unexpected regulator of TH17 cell-driven inflammatory responses. *Sci Signal* 2011; **4**:pe14. https://doi.org/10.1126/scisignal.2001825

14. Blanco-Domínguez R, de la Fuente H, Rodríguez C, Martín-Aguado L, Sánchez-Díaz R, Jiménez-Alejandro R, et al. CD69 expression on regulatory T cells protects from immune damage after myocardial infarction. *J Clin Invest* 2022; **132**:e152418. https://doi.org/10.1172/jci152418

15. Thorin-Trescases N, Thorin E. High circulating levels of ANGPTL2: beyond a clinical marker of systemic inflammation. *Oxid Med Cell Longev* 2017; **2017**:1096385. https://doi.org/10.1155/2017/1096385

16. Schlattner U, Tokarska-Schlattner M, Wallimann T. Mitochondrial creatine kinase in human health and disease. *Biochim Biophys Acta* 2006; **1762**:164-80. https://doi.org/10.1016/j.bbadis.2005.09.004

17. Grigoriev I, Splinter D, Keijzer N, Wulf PS, Demmers J, Ohtsuka T, et al. Rab6 regulates transport and targeting of exocytotic carriers. *Dev Cell* 2007; **13**:305-14. https://doi.org/10.1016/j.devcel.2007.06.010

18. Lisewski U, Koehncke C, Wilck N, Buschmeyer B, Pieske B, Roepke TK. Increased aldosterone-dependent Kv1.5 recycling predisposes to pacing-induced atrial fibrillation in Kcne3-/- mice. *FASEB J* 2016; **30**:2476-89. https://doi.org/10.1096/fj.201600317R

19. Genovese G, Friedman DJ, Ross MD, Lecordier L, Uzureau P, Freedman BI, et al. Association of trypanolytic ApoL1 variants with kidney disease in African Americans. *Science* 2010; **329**:841-5. https://doi.org/10.1126/science.1193032