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We investigated how BMI and BV influence BBM concentrations and PET prediction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>\n                      Data from 241 cognitively unimpaired participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) were examined to evaluate the influence of BMI\/BV on BBMs (A\u03b2\n                      <jats:sub>42\/40<\/jats:sub>\n                      , p\u2010Tau\n                      <jats:sub>181<\/jats:sub>\n                      , p\u2010Tau\n                      <jats:sub>217<\/jats:sub>\n                      , glial fibrillary acidic protein [GFAP], neurofilament light chain [NfL]) and BBM\u2010based PET predictions.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      Elevated BMI\/BV associated with lower BBM concentrations, especially for p\u2010Tau\n                      <jats:sub>217<\/jats:sub>\n                      and NfL, independent of brain amyloid burden. BMI\u2010stratified thresholds improved amyloid PET prediction, with higher BBM thresholds and area under the curve (AUC) values seen in normal weight compared to overweight or obese participants. Drastic BMI\/BV declines due to weight loss increased BBM variability and systematic PET misclassification.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>Adjusting for BMI\/BV in BBM\u2010based diagnostics appears to improve accuracy and reliable detection of AD pathology, especially in preclinical stages.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Highlights<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>Body mass index (BMI) and blood volume (BV) significantly influenced plasma BBM concentrations in cognitively unimpaired (CU) individuals.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Blood\u2010based biomarkers (BBMs) associated more strongly with BV than with BMI.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Dilution effects were independent of brain amyloid burden.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>BMI\u2010stratified BBM thresholds improved amyloid positron emission tomography (PET) classification accuracy.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Declines in BMI\/BV resulted in PET prediction bias and systematic errors.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  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