{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T15:27:18Z","timestamp":1788276438237,"version":"build-2803163510"},"reference-count":35,"publisher":"Wiley","issue":"17","license":[{"start":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T00:00:00Z","timestamp":1784764800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T00:00:00Z","timestamp":1784764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100022627","name":"Fulbright U.S. Scholar Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100022627","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR\u201011\u2010INBS\u20100006"],"award-info":[{"award-number":["ANR\u201011\u2010INBS\u20100006"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["physoc.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Journal of Physiology"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:sec>\n                    <jats:title>Abstract<\/jats:title>\n                    <jats:p>\n                      Haemodynamic forces (HDF) quantify intraventricular pressure gradients as integrated vectors derived from myocardial motion and blood flow, providing a sensitive marker of left ventricular (LV) remodelling beyond conventional metrics such as ejection fraction or strain. Although HDF analysis has been clinically validated in heart failure, it remains underexplored in preclinical models. To determine whether HDF metrics derived from high\u2010resolution murine echocardiography can sensitively track cardiac dysfunction and predict functional recovery, male mice (\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a08) underwent serial echocardiography at baseline, after transverse aortic constriction (TAC) and 4\u00a0weeks after aortic debanding (deTAC). LV function and interval\u2010specific HDF components were quantified, including longitudinal and transverse forces over predefined systolic and diastolic windows. Longitudinal interval\u2010based parameters emerged as sensitive, integrative markers of LV dysfunction after TAC and deTAC. Notably, a novel exploratory waveform, early\u2010to\u2010late systolic impulse longitudinal HDF ratio, showed the strongest associations with pressure overload and subsequent functional recovery (baseline\n                      <jats:italic>vs<\/jats:italic>\n                      . TAC:\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&lt;\u00a00.001; TAC\n                      <jats:italic>vs<\/jats:italic>\n                      . deTAC:\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.003; baseline\n                      <jats:italic>vs<\/jats:italic>\n                      . deTAC:\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a00.049). By contrast, diastolic HDF indices, including the previously proposed longitudinal e\u2011wave ratio, did not significantly differentiate between time points. Transverse HDF over the systolic impulse interval further demonstrated potential for predicting post\u2011surgical recovery following unloading. These findings support systolic HDF metrics, particularly longitudinal and transverse interval\u2011based parameters, as sensitive integrative markers of LV dysfunction and reverse remodelling in preclinical pressure\u2011overload models, and highlight their translational relevance for echocardiography\u2011based HDF analysis.\n                      <jats:boxed-text content-type=\"graphic\" position=\"anchor\">\n                        <jats:graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mimetype=\"image\/png\" position=\"anchor\" specific-use=\"enlarged-web-image\" xlink:href=\"graphic\/tjp70720-gra-0001-m.png\">\n                          <jats:alt-text>image<\/jats:alt-text>\n                        <\/jats:graphic>\n                      <\/jats:boxed-text>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key points<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>Haemodynamic force (HDF) analyses evaluate intraventricular pressure gradients as integrated vectors of myocardial motion and blood flow, providing complementary markers of pump (in)efficiency beyond ejection fraction or strain.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>High\u2010resolution murine echocardiography enables robust derivation of interval\u2010specific HDF metrics.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Systolic HDF metrics, particularly transverse components during impulse intervals, showed potential for predictive power correlating with cardiac recovery.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Systolic HDF reflect key changes in force generation and intraventricular flow during pressure overload, allowing early detection of maladaptive remodelling and treatment response, with translational potential for non\u2010invasive risk stratification in aortic stenosis patients.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1113\/jp290877","type":"journal-article","created":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T11:09:56Z","timestamp":1784804996000},"page":"7092-7111","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Ultrasound\u2010based haemodynamic force trajectories in a murine model of reversible pressure overload"],"prefix":"10.1113","volume":"604","author":[{"given":"Peyton M.","family":"Day","sequence":"first","affiliation":[{"name":"Weldon School of Biomedical Engineering Purdue University  West Lafayette Indiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Moore\u2010Morris","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Montpellier, INSERM, CNRS, IGF  Montpellier France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8883-7953","authenticated-orcid":false,"given":"Craig J.","family":"Goergen","sequence":"additional","affiliation":[{"name":"Weldon School of Biomedical Engineering Purdue University  West Lafayette Indiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5837-3916","authenticated-orcid":false,"given":"Pierre","family":"Sicard","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Montpellier, INSERM, CNRS, PhyMedExp  Montpellier 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