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Modeling of gender differences in cardiovascular function during exercise using Quantitative Human Physiology
Author(s) -
Hodnett Benjamin Lucas,
Carter Cory Blake,
Hester Robert
Publication year - 2009
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.23.1_supplement.lb117
Subject(s) - medicine , cardiovascular physiology , circulatory system , perfusion , exercise physiology , physiology , skeletal muscle , human physiology , cardiology
Quantitative Human Physiology (QHP) is an open‐source XML model of human physiology based on Quantitative Circulatory Physiology (QCP), a previous model from our department that incorporates over 4000 simultaneous equations. With QHP, the model has been expanded to include a female (F) subject, which will allow investigation of gender differences on human physiology. For this model, cardiovascular function was examined in a 78‐kg male (M) subject and a 60‐kg F subject. The protocol involved having the subjects perform 30‐min treadmill exercise protocol (2% incline at 2 miles/hour) and comparing cardiovascular parameters to pre‐exercise conditions. Circulatory parameters were analyzed as percent increases, due to the different baseline parameters between the M and F subjects. M and F skeletal muscle (SKM) masses were 27 and 20 kg, respectively. Following 30 min of exercise, M cardiac output (CO) increased 104% whereas F CO increased 92% (Figure). Interestingly, while net SKM perfusion was greater in the M than the F (6.7 L/min vs. 3.5 L/min), the percent increase values were greater in the F than the M (1022% vs. 823%). This model will investigate the physiological mechanisms underlying these differences in cardiovascular function between M and F, including the role of differences in sympathetic function, catecholamine release, and non‐SKM perfusion. Supported by NSF EPSCoR and NIH HL‐51971.