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Taylor, Jennifer

https://orcid.org/0000-0001-6942-1696

Mayo Clinic

Foundation for the National Institutes of Health

Citations 2

Heterogeneous Treatment Effects in HFpEF: Distinguishing Drug-Specific Response from Prognostic Phenotypes Across Randomized Trials
Santana, Clodomir, Katayama, Asuka, Ballal, Aditya , Liem, David A., Chen, C , Nuno, Miriam, Ebong, Imo, Zhang, Xiao-Dong, Izu, Leighton, Alagna, Laura , Borlaug, Barry A., Butler, Javed, Chirinos, Julio A. , Chutkow, William A., Desai, Akshay S., Desvigne-Nickens, Patrice, Givertz, Michael M., Khan, Sadiya S., Kitzman, Dalane W., Lewis, Gregory D., Redfield, Margaret M., Shah, Sanjiv J., Sharma, Kavita, Taylor, Jennifer , Tinsley, Emily, Wong, Renee, Shah, Sanjiv J., Sirish, Padmini , Liem, David A. , Bidwell, Julie T. , Nuño, Miriam , Ebong, Imo , Izu, Leighton T. , Alagna, Laura, Pesce, Lorenzo L. , Sisk, Ryan K. , Borlaug, Barry A. , Butler, Javed , Desai, Akshay S , Desvigne‐Nickens, Patrice , Givertz, Michael M. , Khan, Sadiya S. , Kitzman, Dalane W. , Lewis, Gregory D. , Rasmussen‐Torvik, Laura J. , Redfield, Margaret M. , Sharma, Kavita , Taylor, Jennifer L., Shah, Sanjiv J , López, Javier E. , Chiamvimonvat, Nipavan , Cadeiras, Martín

No container title available | July 9, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.06.26357251 Get It

Abstract Background Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome comprising multiple pathophysiological phenotypes. HFpEF trials have largely enrolled diverse populations and reported average treatment effects, consistently yielding neutral results that may obscure drug-specific benefits within distinct subgroups. To address this issue, we employ an interaction-based that incorporates treatment-by-variable interactions to uncover drug-specific responses. Methods We leveraged four HFpEF clinical trials (TOPCAT, RELAX, NEAT-HFpEF, INDIE-HFpEF) and developed a framework comprising two complementary approaches. The first employed a prognostic responder model to evaluate whether conventional responder definitions reflect treatment-specific benefit or instead capture favorable clinical trajectories common to both treatment and placebo groups. The second used an interaction-based individual treatment effect (ITE) modeling to identify baseline variables that modify therapy effect, distinguishing drug-specific response from prognostic phenotypes. Results Although the prognostic responder model demonstrated good discrimination, further analisys suggested it primarily captured a prognostic signal associated with favorable clinical trajectories common to both treatment and placebo arms. In contrast, the ITE model identified distinct, drug-specific effect modifiers across trials (cardiorenal-inflammatory for spironolactone (TOPCAT), NO-mediated anti-inflammatory for isosorbide mononitrate (NEAT-HFpEF), afterload-reducing for inorganic nitrite (INDIE-HFpEF), and anti–volume-overload for sildenafil (RELAX). Each ITE model demonstrated significance only within its own trial suggesting drug-specific signal. Conclusions The proposed method identifies mechanism-specific effect modifiers, and uncovers clinically meaningful heterogeneity in treatment response, which is not captured by conventional MCID-based approaches. Although exploratory, these findings support phenotype-guided therapy in HFpEF and argue for phenotype-informed trial design to enhance treatment-effect detection and therapy targeting. Graphical Abstract
Peripheral chemoreceptor contribution to ventilatory control during steady‐state exercise (873.2)
Johnson, Blair, Taylor, Jennifer , Peinado, Ana B. , Taylor, Jennifer, Joyner, Michael J.

The FASEB Journal | June 16, 2021 | Volume: 28 | Issue: S1 | Pages: No page available

10.1096/fasebj.28.1_supplement.873.2 Get It

We tested the hypothesis that the carotid body chemoreceptors (CB) contribute to ventilatory control during steady‐state exercise. Six men completed two randomized bouts of cycling exercise at 65% VO 2 max for up to 2 hours during an IV infusion of dopamine (D; 2 µg/kg/min) to acutely inactivate the CB, or a saline infusion (S). Expired gases were analyzed at baseline, resting‐infusion, and during exercise (25%, 50%, 75% and 100% of total exercise time). A hypoxic ventilatory response (HVR) test was performed after exercise during the infusion condition. Subjects were classified as responders (RS; n=3) if their HVR was lower during D vs. S (1.03 ± 0.6 vs. 2.14 ± 0.4 L/min/%SaO 2 ). In RS, partial pressure of end‐tidal CO 2 had a greater delta from baseline at 75% (2.9 ± 2.1 vs. 1.1 ± 1.9 mmHg) and 100% (0.9 ± 3.4 vs. ‐0.3 ±3.3 mmHg) during D than S, and the increase in oxygen uptake at 100% was greater during D vs. S (34.7 ± 2.6 vs. 33.0 ± 2.6 mL/min/kg). In RS, there were no differences in the changes from baseline for ventilation (VE), VE/VCO 2 , respiratory rate, tidal volume, and respiratory exchange ratio between conditions. In the non‐responders group, there were no differences between D and S in any variables. When the data was pooled, HVR accounted for 37% of the variance in VE at 100%. Despite evidence that CB chemosensitivity was blunted, the CB appear to play a minor role in controlling ventilation during steady state exercise. Grant Funding Source : NIH R01DK090541