Evidence map›Paper›PMID 42231286›Full record

Trial reportJournal of translational medicine2026

A multicenter, prospective sibling oocyte study revealed that HyperSperm

Natalia Oscoz-Susino, Matias D Gómez-Elías, Claudio Bisioli, Marcos Horton, Mercedes Papayannis, Evelyn De Martino, Laura Kopcow, Martin Attie, Mariano Lavolpe, Carlos Carizza and 6 more

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05680363 (Prospective Sibling Oocyte Study of a New Method to Improve Embryo Development in IVF/ICSI Patients), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05680363 nacompletednot on this map

Prospective Sibling Oocyte Study of a New Method to Improve Embryo Development in IVF/ICSI Patients

TypeinterventionalSponsorFecundis S.A.Ran2023 to 2025Enrolled41ConditionsInfertilityArmsHyperSperm, Standard Sperm Preparation
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Natalia Oscoz-SusinoFecundis, Research & Development, Parc Cientific de Barcelona, Carrer Baldiri Reixac 4-12, Barcelona, 08028, Spain.
Matias D Gómez-ElíasFecundis, Research & Development, Parc Cientific de Barcelona, Carrer Baldiri Reixac 4-12, Barcelona, 08028, Spain.
Claudio BisioliPregna Medicina Reproductiva, Buenos Aires, Argentina.
Marcos HortonPregna Medicina Reproductiva, Buenos Aires, Argentina.ORCID 0000-0002-7163-6482
Mercedes PapayannisPregna Medicina Reproductiva, Buenos Aires, Argentina.
Evelyn De MartinoPregna Medicina Reproductiva, Buenos Aires, Argentina.
Laura KopcowPregna Medicina Reproductiva, Buenos Aires, Argentina.
Martin AttieClínica In vitro Buenos Aires, Buenos Aires, Argentina.
Mariano LavolpeClínica In vitro Buenos Aires, Buenos Aires, Argentina.
Carlos CarizzaClínica Fertya, Rosario, Argentina.
Guillermina M LuqueInstituto de Biología y Medicina Experimental (IBYME-CONICET), Vuelta de Obligado 2490, Buenos Aires, 1428, Argentina.
Carolina Baro GrafInstituto de Biología Molecular y Celular de Rosario, CONICET-UNR, and Laboratorio de Medicina Reproductiva, Facultad de Ciencias Bioquímicas y Farmacéuticas, UNR, Rosario, SF2000, Argentina.
Valentina Torres MonserratClínica Fertya, Rosario, Argentina.
Estefania NavallClínica Fertya, Rosario, Argentina.
Mariano G BuffoneFecundis, Research & Development, Parc Cientific de Barcelona, Carrer Baldiri Reixac 4-12, Barcelona, 08028, Spain. buffone@fecundis.com.
Dario KrapfFecundis, Research & Development, Parc Cientific de Barcelona, Carrer Baldiri Reixac 4-12, Barcelona, 08028, Spain. krapf@fecundis.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssisted reproductive technologies (ART), including in vitro fertilization (IVF), have transformed the treatment of infertility; however, success rates remain suboptimal. HyperSperm is a novel capacitation technology designed to enhance sperm function by promoting hyperactivation without compromising acrosomal integrity or sperm viability. Previous studies have shown that HyperSperm improves human sperm motility parameters and increases embryo development in mice and humans, as well as implantation rates in mice. The present study aimed to evaluate the clinical utility of HyperSperm in IVF.

methodsA prospective sibling oocyte study was conducted in 41 IVF patients (ClinicalTrials.gov identifier: NCT05680363). Semen samples from each patient were divided and processed using either standard preparation protocols or the HyperSperm protocol. Fertilization outcomes, embryo development, blastocyst formation, embryo quality, and euploidy rates assessed by preimplantation genetic testing for aneuploidy (PGT-A) were compared between conditions.

resultsHyperSperm treatment was associated with significantly higher blastocyst development rates compared with standard preparation (55.6% vs. 47.9%, p = 0.0038), resulting in a greater number of blastocysts per cycle. Moreover, embryos generated following HyperSperm treatment exhibited improved morphological quality and a higher euploidy rate as determined by PGT-A.

conclusionsHyperSperm improves key developmental outcomes in IVF, increasing blastocyst yield, embryo quality, and chromosomal normality. These findings support the translational potential of HyperSperm as a clinically relevant strategy to enhance early embryo competence and improve IVF efficiency.

Indexed as

Embryo, MammalianFertilization in VitroOocytesSiblingsAdultBlastocystEmbryonic DevelopmentFemaleHumansMalePregnancyProspective StudiesSpermatozoaAssisted reproduction technologyCapacitationSpermTime-lapse

Identifiers

PMID42231286
PMCPMC13231617

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Registered trials

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 OpenQuestion graph.