👤 Sergio Garza

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4
Articles
4
Name variants
Also published as: Ana Laura de la Garza, Secilia Garza, Ángel García de la Garza
articles
Karla P Balbino, Ana Claudia P Kravchychyn, Flávia G Cândido +9 more · 2026 · Diabetes, obesity & metabolism · Blackwell Publishing · added 2026-04-24
Precision nutrition, guided by genetic testing, has emerged as a promising approach for managing obesity. However, robust clinical trials testing its effectiveness in real-world dietary interventions Show more
Precision nutrition, guided by genetic testing, has emerged as a promising approach for managing obesity. However, robust clinical trials testing its effectiveness in real-world dietary interventions remain scarce. The GenOn Programme aims to evaluate whether tailoring nutritional care based on genetic risk for obesity enhances weight loss, satiety control, and metabolic outcomes in adults with overweight and obesity. The GenOn Programme is an 18-week, 2 × 2 factorial, randomised controlled trial including 120 adults classified as high or low genetic risk for obesity (variants: FTO rs9939609 and rs1121980; MC4R rs1782313; LEP rs7799039). Participants are randomised to standard or satiety-focused dietary counselling. Both groups receive five calorie-restricted (-500 kcal/day), nutritionally balanced meal plans. The satiety arm additionally includes a high-protein breakfast, daily granola supplementation and behavioural strategies. Assessments at baseline, Week 12, and Week 18 include weight loss, body composition, satiety perception, quality of life, cardiometabolic markers, (epi)genetics, inflammation, neuroendocrine regulation, and metagenomics. The GenOn Programme is a randomised controlled trial to test a precision nutrition approach for overweight and obesity, integrating genetics, dietary strategies, and behavioural support. Findings may inform dietitians and healthcare systems on the clinical value of genetically guided nutritional care to improve outcomes in the treatment of overweight and obesity. Show less
📄 PDF DOI: 10.1111/dom.70414
MC4R
Ángel García de la Garza, Cuiling Wang, Carol A Derby +6 more · 2026 · Journal of Alzheimer's disease : JAD · SAGE Publications · added 2026-04-24
BackgroundInterpreting blood-based biomarkers of Alzheimer's disease and related dementias (ADRD) in a multicultural cohort is complicated by inconsistent evidence on racial differences. Kidney functi Show more
BackgroundInterpreting blood-based biomarkers of Alzheimer's disease and related dementias (ADRD) in a multicultural cohort is complicated by inconsistent evidence on racial differences. Kidney function, which varies by race and influences biomarker levels, is often overlooked, potentially contributing to these inconsistencies.ObjectiveTo characterize racial differences in plasma levels of ADRD biomarkers after adjusting for comorbidities and assessed the impact of estimated glomerular filtration rate (eGFR) adjustment using either race-specific or race-neutral equations.MethodsData from the Einstein Aging Study, a multicultural cohort of older adults, included plasma biomarkers (Aβ Show less
no PDF DOI: 10.1177/13872877261426582
APOE
Dennis A Sheeter, Secilia Garza, Hui Gyu Park +6 more · 2024 · Cancers · MDPI · added 2026-04-24
📄 PDF DOI: 10.3390/cancers16081590
FADS1
Yu Jiang, Travis J Meyers, Adaeze A Emeka +94 more · 2022 · HGG advances · Elsevier · added 2026-04-24
Yu Jiang, Travis J Meyers, Adaeze A Emeka, Lauren Folgosa Cooley, Phillip R Cooper, Nicola Lancki, Irene Helenowski, Linda Kachuri, Daniel W Lin, Janet L Stanford, Lisa F Newcomb, Suzanne Kolb, Antonio Finelli, Neil E Fleshner, Maria Komisarenko, James A Eastham, Behfar Ehdaie, Nicole Benfante, Christopher J Logothetis, Justin R Gregg, Cherie A Perez, Sergio Garza, Jeri Kim, Leonard S Marks, Merdie Delfin, Danielle Barsa, Danny Vesprini, Laurence H Klotz, Andrew Loblaw, Alexandre Mamedov, S Larry Goldenberg, Celestia S Higano, Maria Spillane, Eugenia Wu, H Ballentine Carter, Christian P Pavlovich, Mufaddal Mamawala, Tricia Landis, Peter R Carroll, June M Chan, Matthew R Cooperberg, Janet E Cowan, Todd M Morgan, Javed Siddiqui, Rabia Martin, Eric A Klein, Karen Brittain, Paige Gotwald, Daniel A Barocas, Jeremiah R Dallmer, Jennifer B Gordetsky, Pam Steele, Shilajit D Kundu, Jazmine Stockdale, Monique J Roobol, Lionne D F Venderbos, Martin G Sanda, Rebecca Arnold, Dattatraya Patil, Christopher P Evans, Marc A Dall'Era, Anjali Vij, Anthony J Costello, Ken Chow, Niall M Corcoran, Soroush Rais-Bahrami, Courtney Phares, Douglas S Scherr, Thomas Flynn, R Jeffrey Karnes, Michael Koch, Courtney Rose Dhondt, Joel B Nelson, Dawn McBride, Michael S Cookson, Kelly L Stratton, Stephen Farriester, Erin Hemken, Walter M Stadler, Tuula Pera, Deimante Banionyte, Fernando J Bianco, Isabel H Lopez, Stacy Loeb, Samir S Taneja, Nataliya Byrne, Christopher L Amling, Ann Martinez, Luc Boileau, Franklin D Gaylis, Jacqueline Petkewicz, Nicholas Kirwen, Brian T Helfand, Jianfeng Xu, Denise M Scholtens, William J Catalona, John S Witte Show less
Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prosta Show more
Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prostate cancer, many men on AS eventually convert to active treatment. PC is one of the most heritable cancers, and genetic factors that predispose to aggressive tumors may help distinguish men who are more likely to discontinue AS. To investigate this, we undertook a multi-institutional genome-wide association study (GWAS) of 5,222 PC patients and 1,139 other patients from replication cohorts, all of whom initially elected AS and were followed over time for the potential outcome of conversion from AS to active treatment. In the GWAS we detected 18 variants associated with conversion, 15 of which were not previously associated with PC risk. With a transcriptome-wide association study (TWAS), we found two genes associated with conversion ( Show less
📄 PDF DOI: 10.1016/j.xhgg.2021.100070
MAST3