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ArticlePharmaceutical research2026

Forecasting the Biological Effect of PEGylated-rHuEPO Candidates in Chronic Kidney Disease Patients using a Middle-out Translation Approach.

Gledys Reynaldo-Fernandez, Leyanis Rodriguez-Vera, Daniel Amaro, Joaquin Solozábal, Jorge Duconge, Victor Mangas-Sanjuan, Iñaki F Troconiz, Francine Johansson Azeredo, Valvanera Vozmediano

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Article in Pharmaceutical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Gledys Reynaldo-FernandezModel Informed Development, CTI-Clinical Trial & Consulting, Covington, KY, 41011, USA.
Leyanis Rodriguez-VeraModel Informed Development, CTI-Clinical Trial & Consulting, Covington, KY, 41011, USA.
Daniel AmaroCenter of Molecular Immunology, La Habana, Cuba.
Joaquin SolozábalCenter of Molecular Immunology, La Habana, Cuba.
Jorge DucongeDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Puerto Rico - Medical Sciences Campus, San Juan, Puerto Rico, USA.
Victor Mangas-SanjuanDepartment of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Valencia, Spain.
Iñaki F TroconizPharmacometrics & Systems Pharmacology, Department of Pharmacy and Pharmaceutical Technology, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.
Francine Johansson AzeredoDepartment of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida, Orlando, FL, USA.
Valvanera VozmedianoModel Informed Development, CTI-Clinical Trial & Consulting, Covington, KY, 41011, USA. vvozmediano@ctifacts.com.ORCID http://orcid.org/0000-0002-2636-1889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnemia is a common and debilitating complication in patients with chronic kidney disease (CKD), often managed with erythropoiesis-stimulating agents. While PEGylation extends drug half-life, it may alter pharmacodynamics, requiring careful dose optimization. This study applies a middle-out translational pharmacokinetic/pharmacodynamic modeling approach, aligned with Model-Informed Drug Development principles, to evaluate two pegylated recombinant human erythropoietin candidates (PEG-EPO 32 kDa and PEG-EPO 40 kDa) and guide dose selection for CKD patients.

methodsA semi-mechanistic pharmacokinetic/pharmacodynamic model developed in rabbits was extrapolated to humans using allometric scaling for pharmacokinetics and physiological adaptation for pharmacodynamics. The model was verified using intravenous data from Mircera®. Simulations were conducted in virtual CKD stage 4 and 5 populations to predict hemoglobin (Hb) trajectories over 90 days of dosing. Clinical thresholds were applied to assess efficacy and safety.

resultsSimulations with 0.6 µg/kg Q2W reproduced Mircera® profiles but showed higher proportions of patients exceeding Hb safety thresholds (> 11 g/dL in stage 4, > 9 g/dL in stage 5) for both PEG-EPOs. Dose reduction to 0.4 µg/kg Q2W aligned Hb responses with Mircera®, reducing the risk of excessive Hb elevation.

conclusionsMiddle-out modeling successfully predicted clinical performance of PEG-EPO candidates and identified 0.4 µg/kg Q2W as optimal starting dose for clinical trials. PEG-EPO 32 kDa and 40 kDa emerges as a promising candidate for further development. This study exemplifies the value of MIDD in optimizing dose selection, enhancing translational relevance, and de-risking early clinical evaluation of long-acting erythropoiesis-stimulating agents in CKD.

Indexed as

AnemiaErythropoietinHematinicsPolyethylene GlycolsRenal Insufficiency, ChronicAnimalsComputer SimulationDose-Response Relationship, DrugFemaleHemoglobinsHumansMaleModels, BiologicalRabbitsRecombinant ProteinsErythropoietinHematinicsHemoglobinsPolyethylene GlycolsRecombinant Proteinsanemiachronic kidney diseasedose optimizationmodel-informed drug developmentPEgylated erythropoietin

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.