Studies of Twin Responses to Understand Exercise THerapy (STRUETH): cerebrovascular function

Publication Alert! IALH Research Fellow Kurt Smith has co-authored a new research article entitled Studies of Twin Responses to Understand Exercise THerapy (STRUETH): cerebrovascular function. Other authors include Hannah J. Thomas, Channa E. Marsh, Katrina J. Scurrah, Louise H. Naylor, and Daniel J. Green. The article was published in the Journal of Psychology.

Abstract:

We studied monozygotic (MZ) and dizygotic (DZ) twin pairs following resistance (RES) and endurance (END) training to assess genetic and environmental contributions to cerebrovascular function. Cerebrovascular function (rest, autoregulation, hypercapnia, exercise) was assessed in 86 healthy same-sex MZ (30 pairs) and DZ (13 pairs) twins, who underwent 3 months of END and RES. Carbon dioxide ( PETCO2 ), mean arterial pressure (MAP) and middle cerebral artery velocity (MCAv) were measured and MCAv resistance (MCACVRi) was calculated. Resting MCAv reduced by −2.8 cm/s following RES (P = 0.024), with no change following END (−0.3 cm/s, P = 0.758). Change in MCACVRi following RES was +0.11 mmHg/cm/s (P < 0.001), which was significantly greater than END (+0.02 mmHg/cm/s, P = 0.030). MAP also increased following RES (+4 mmHg, P = 0.010), but not END (+1 mmHg, P = 0.518). No changes were apparent in PETCO2 . At rest, positive response rates following RES ranged from 27 to 71% and from 40 to 64% following END. Intraclass correlations between twins were moderate for most variables at baseline. In response to training, only MZ pairs were significantly correlated for a change in MCAv (P = 0.005) and low frequency phase (P = 0.047) following RES. This study is the first to compare cerebrovascular function following RES and END in MZ and DZ twins. Most individuals who did not respond to one modality were able to respond by switching modality, and baseline heritability estimates were higher than training response. Exercise professionals should therefore consider modality and environmental factors when optimising interventions.

To read the full article, see https://doi.org/10.1113/JP282998