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dc.contributor.authorVillalba-Orero, María
dc.contributor.authorGarcia-Pavia, Pablo 
dc.contributor.authorLara-Pezzi, Enrique 
dc.date.accessioned2022-11-29T13:48:09Z
dc.date.available2022-11-29T13:48:09Z
dc.date.issued2022-10-14
dc.identifier.citationBMC Med . 2022 Oct 14;20(1):349.es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/15245
dc.description.abstractHeart failure (HF) with preserved ejection fraction (HFpEF) prevalence is increasing, and large clinical trials have failed to reduce mortality. A major reason for this outcome is the failure to translate results from basic research to the clinics. Evaluation of HFpEF in mouse models requires assessing three major key features defining this complex syndrome: the presence of a preserved left ventricular ejection fraction (LVEF), diastolic dysfunction, and the development of HF. In addition, HFpEF is associated with multiple comorbidities such as systemic arterial hypertension, chronic obstructive pulmonary disease, sleep apnea, diabetes, and obesity; thus, non-cardiac disorders assessment is crucial for a complete phenotype characterization. Non-invasive procedures present unquestionable advantages to maintain animal welfare and enable longitudinal analyses. However, unequivocally determining the presence of HFpEF using these methods remains challenging. Transthoracic echocardiography (TTE) represents an invaluable tool in HFpEF diagnosis, allowing evaluation of LVEF, diastolic dysfunction, and lung congestion in mice. Since conventional parameters used to evaluate an abnormal diastole like E/A ratio, isovolumic relaxation time, and E/e' may pose limitations in mice, including advanced TTE techniques to characterize cardiac motion, including an assessment under stress, will improve diagnosis. Patients with HFpEF also show electrical cardiac remodelling and therefore electrocardiography may add valuable information in mouse models to assess chronotropic incompetence and sinoatrial node dysfunction, which are major contributors to exercise intolerance. To complete the non-invasive diagnosis of HF, low aerobic exercise capacity and fatigue using exercise tests, impaired oxygen exchange using metabolic cages, and determination of blood biomarkers can be determined. Finally, since HFpEF patients commonly present non-cardiac pathological conditions, acquisition of systemic and pulmonary arterial pressures, blood glucose levels, and performing glucose tolerance and insulin resistance tests are required for a complete phenotyping. Identification of reliable models of HFpEF in mice by using proper diagnosis tools is necessary to translate basic research results to the clinics. Determining the presence of several HFpEF indicators and a higher number of abnormal parameters will lead to more reliable evidence of HFpEF.es_ES
dc.description.sponsorshipThis study was supported by grants from the Spanish Ministerio de Ciencia e Innovacion/MCIN/AEI/10.13039/501100011033 (RTI2018-096961-B-I00 to E.L-P.). This study was also supported by the Plan Estatal de I+D+I 2013-2016, with funding from the European Regional Development Fund (ERDF) “A way to build Europe” initiative. The CNIC is supported by the Instituto de Salud Carlos III (ISCIII), the Ministerio de Ciencia e Innovación (MCIN) and the Pro CNIC Foundation).es_ES
dc.language.isoenges_ES
dc.publisherBioMed Central (BMC) es_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshHeart Failure es_ES
dc.subject.meshVentricular Function, Left es_ES
dc.subject.meshAnimals es_ES
dc.subject.meshBiomarkers es_ES
dc.subject.meshBlood Glucose es_ES
dc.subject.meshMice es_ES
dc.subject.meshOxygen es_ES
dc.subject.meshStroke Volume es_ES
dc.titleNon-invasive assessment of HFpEF in mouse models: current gaps and future directions.es_ES
dc.typejournal articlees_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID36229816es_ES
dc.format.volume20es_ES
dc.format.number1es_ES
dc.format.page349es_ES
dc.identifier.doi10.1186/s12916-022-02546-3es_ES
dc.contributor.funderMinisterio de Ciencia e Innovación (España) es_ES
dc.contributor.funderPlan Nacional de I+D+i (España) es_ES
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF) es_ES
dc.contributor.funderInstituto de Salud Carlos III es_ES
dc.contributor.funderFundación ProCNIC es_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn1741-7015es_ES
dc.relation.publisherversion10.1186/s12916-022-02546-3es_ES
dc.identifier.journalBMC medicinees_ES
dc.repisalud.orgCNICCNIC::Unidades técnicas::Miocardiopatías Hereditariases_ES
dc.repisalud.institucionCNICes_ES
dc.rights.accessRightsopen accesses_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/RTI2018-096961-B-I00es_ES


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