Translational Health Research Into Vascular and Neurocognitive Effects of Weight Loss

We conducted a priori power calculations (80% power, α=0.05) based on published effect sizes (Cohen's d) for the following measures comparing obese to lean participants: hypothalamic neuroinflammation (d=1.52, required n=8/group; Thaler et al. 2012); cerebral metabolic rate of O₂ (d=1.59, required n=8/group; Anwar et al. 2022); oxygen extraction fraction (OEF) (d=0.67, required n=37/group; Anwar et al. 2022); white matter fractional anisotropy (d=0.61, required n=43/group; Daoust et al. 2021); and for the following measures following bariatric surgery: OEF (d=0.47, required n=37; Anwar et al. 2022); cerebral blood flow (d=0.74, required n=17; Anwar et al. 2022); fALFF (d=1.60, required n=6; Zeighami et al. 2021); cortical thickness (d=0.78, required n=8; Bohon et al. 2018). Based on the above, we will assume a conservative minimum sample size of 43 per group to detect changes in brain health. In line with previous clinical trials for weight loss, where 88% of patients completed the trial but 83% adhered to the treatment regimen, we will assume a 15% attrition rate. Therefore, the minimum sample size providing adequate statistical power for sex-stratified analyses will be 50 men and 50 women. We will enroll 60 participants per group to account for an additional 20% dropout, for a total target sample of 120. At full enrollment, this will allow us to detect small to medium effects in brain health with over 90% power (Cohen's d=0.30), and sex-stratified analyses will be powered to detect medium effect sizes (Cohen's d=0.40) with 80% power. If enrollment falls below 100 total participants (50 per group) for feasibility reasons, the sample might be considered insufficient to support confirmatory sex-stratified analyses. In this event, analyses will be conducted in the total sample only. Sex differences may then be examined in an exploratory capacity. This decision rule is pre-specified and will be applied without reference to outcome data. Anwar, Nareen, Wesley J. Tucker, Nancy Puzziferri, T. Jake Samuel, Vlad G. Zaha, Ildiko Lingvay, Jaime Almandoz, et al. 2022. "Cognition and Brain Oxygen Metabolism Improves after Bariatric Surgery-Induced Weight Loss: A Pilot Study." Frontiers in Endocrinology 13 (December): 954127. Bohon, Cara, Luis C. Garcia, and John M. Morton. 2018. "Changes in Cerebral Cortical Thickness Related to Weight Loss Following Bariatric Surgery." Obesity Surgery 28 (8): 2578-82. Daoust, Justine, Joelle Schaffer, Yashar Zeighami, Alain Dagher, Isabel García-García, and Andréanne Michaud. 2021. "White Matter Integrity Differences in Obesity: A Meta-Analysis of Diffusion Tensor Imaging Studies." Neuroscience and Biobehavioral Reviews 129 (October): 133-41. Thaler, Joshua P., Chun Xia Yi, Ellen A. Schur, Stephan J. Guyenet, Bang H. Hwang, Marcelo O. Dietrich, Xiaolin Zhao, et al. 2012. "Obesity Is Associated with Hypothalamic Injury in Rodents and Humans." The Journal of Clinical Investigation 122 (1): 153. Zeighami, Yashar, Sylvain Iceta, Mahsa Dadar, Mélissa Pelletier, Mélanie Nadeau, Laurent Biertho, Annie Lafortune, et al. 2021. "Spontaneous Neural Activity Changes after Bariatric Surgery: A Resting-State FMRI Study." NeuroImage 241 (November): 118419.