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Correia, Marcelo

https://orcid.org/0000-0002-3470-6234

Mayo Clinic

University of Iowa

Citations 4

Adipose tissue depots and blood pressure regulation: mechanisms, biomarkers, and targets beyond obesity
Rodriguez, Stephanie , Kamalumpundi, Vijayvardhan , Peterson, Joshua, Tucker, Cally , Cheng, Linhai , Shams, Elham , Meyers, Erin, Jawadi, Sefi, Pereira, Renata O, Correia, Marcelo L G, Correia, Marcelo , Rodriguez, Stephanie , Pereira, Renata O , Correia, Marcelo L G , Peterson, Joshua

American Journal of Hypertension | June 19, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/ajh/hpag065 Get It

Abstract Background Adipose tissue influences blood pressure regulation through depot-specific endocrine, inflammatory, and exosome-dependent mechanisms. While obesity is a well-established risk factor for hypertension, emerging evidence suggests that distinct fat depots may contribute to vascular dysfunction independent of total adiposity. Methods: This review synthesizes post-2020 literature on 6 anatomically defined depots: visceral, perivascular, epicardial, bone marrow, brown, and beige adipose tissue, with an emphasis on their mechanistic roles, imaging biomarkers, and translational relevance. Results Alterations in adipose depot function can impair nitric oxide signaling, promote oxidative stress, and modulate sympathetic tone, even in the absence of obesity. Exosomal microRNAs from dysfunctional adipose tissue further disrupt vascular homeostasis. Although clinical tools for assessing depot dysfunction are limited, advances in imaging and molecular profiling may enable targeted therapeutic strategies. Conclusions Reframing adipose tissue as a modular regulator of blood pressure, rather than a passive consequence of obesity, may unlock new venues for precision management of hypertension.
Patient, facility, and environmental factors associated with obesity treatment in US Veterans
Kamalumpundi, Vijayvardhan , Robinson, Kathleen M. , Eddin, Assim Saad , Alatoum, Aiah , Kasasbeh, Ghena, Correia, Marcelo , Vaughan‐Sarrazin, Mary , Robinson, Kathleen M , Correia, Marcelo L G , Vaughan Sarrazin, Mary , Smith, Jessica

Obesity Science & Practice | October 24, 2024 | Volume: 10 | Issue: 5 | Pages: No page available

10.1002/osp4.70014 Get It

AbstractBackgroundIdentifying patient‐, facility‐, and environment‐level factors that influence the initiation and retention of comprehensive lifestyle management interventions (CLMI) for urban and rural Veterans could improve obesity treatment and reach at Veterans Affairs (VA) facilities.AimsThis study identified factors at these various levels that predicted treatment engagement, retention, and weight management among urban and rural Veterans.MethodsA retrospective cohort study of 631,325 Veterans was designed using VA databases to identify Veterans with class II and III obesity during 2015–2017. Primary outcomes were initiation of CLMI, bariatric surgery, or obesity pharmacotherapy within 1 year of index date. Secondary outcomes included treatment retention and successful weight loss. Generalized linear mixed models were used to evaluate the relationships between factors and obesity‐related outcomes, with rurality differences assessed through interaction terms.ResultsPatient characteristics associated with increased odds of initiating CLMI included female sex (p < 0.001), black race (p < 0.001), sleep apnea (p < 0.001), mood disorder (p < 0.001), and use of medications associated with weight loss (p < 0.001) or weight gain (p < 0.001). Facility use of telehealth was associated with greater odds of CLMI initiation in urban Veterans (p < 0.001) but lower retention in both populations (p = 0.003). Routine consideration of pharmacotherapy was associated with higher CLMI initiation. Environmental characteristics associated with increased odds of CLMI initiation included percent of population foreign born (OR = 1.03 per 10% increase; p < 0.001), percent black (p < 0.001), and high walkability index (p < 0.001). The relationship between total population and CLMI initiation differed by rurality, as greater population was associated with lower odds of CLMI initiation in urban areas (OR: 0.99 per 1000 population; p < 0.001), but higher odds in rural areas (OR:1.01, p = 0.01). Veterans in the south were less likely to initiate CLMI and had lower retention (p < 0.001).ConclusionTreatment and retention of CLMI among Veterans remain low, highlighting areas for improvement to expand its reach both urban and rural Veterans.
Association between renin‐angiotensin antagonism and COVID‐19–related mortality in patients with essential hypertension: A single center, retrospective cohort study
Kamalumpundi, Vijayvardhan , Kawasaki, Shuntaro, Cheng, Linhai , Meyers, Erin , Shams, Elham , Ofori, Ologibe, Eddin, Assim Saad , Correia, Marcelo , Meyers, Erin E , Eddin, Assim , Correia, Marcelo L G

The Journal of Clinical Hypertension | July 14, 2024 | Volume: 26 | Issue: 9 | Pages: 1039-1044

10.1111/jch.14869 Get It

AbstractThere is conflicting evidence in select mouse models and humans that suggest angiotensin‐converting enzyme 2 expression is increased due to treatment with angiotensin converting enzyme inhibitors and angiotensin receptor blockers (ACEI/ARBs). Given the wide range of conditions that these medications treat, further evaluation is necessary to determine safety in the context of COVID‐19. We sought to determine the association between use of ACEI/ARBs and COVID‐19 severity in patients with essential hypertension. We included 714 patients with essential hypertension diagnosed with COVID‐19 and admitted to University of Iowa Healthcare from March 1, 2020 to June 29, 2021. Severity of COVID‐19 infection was assessed based on mortality, length of stay in hospital, intensive care unit admission, and use of supplemental oxygen, invasive ventilation, and vasopressors. Multivariable logistic and linear regression analyses were used for binary and continuous outcomes, respectively. Prior exposure to ACEI/ARBs before admission was significantly associated with lower mortality (OR: 0.454, p = .015), shorter length of stay in hospital (p < .001), and decreased adjusted odds of intensive care admission (OR: 0.719; p < .042). The present results suggest that patients with essential hypertension hospitalized with COVID‐19 who had a prescription for ACEI/ARBs prior to admission exhibited less severe COVID‐19 and lower in‐hospital mortality.
Systematic Transmission Electron Microscopy‐Based Identification and 3D Reconstruction of Cellular Degradation Machinery
Neikirk, Kit , Vue, Zer , Katti, Prasanna , Rodriguez, Ben I., Omer, Salem, Shao, Jianqiang, Christensen, Trace , Garza-López, Edgar , Marshall, Andrea G. , Palavicino‐Maggio, Caroline B. , Ponce, Jessica, Alghanem, Ahmad F. , Vang, Larry , Barongan, Taylor , Rodman, Taylor, Stephens, Dominique, Mungai, Margaret , Murray, Sandra , Crabtree, Amber , Pereira, Renata O. , Hinton, Antentor , Glancy, Brian , Abel, E Dale , Hinton, Antentor , Pereira, Renata O , Katti, Prasanna , Murray, Sandra A , Marshall, Andrea G , Beasley, Heather K. , Stephens, Dominique C., Correia, Marcelo , Exil, Vernat , Damo, Steven M. , Glancy, Brian , Abel, E. Dale

Advanced Biology | March 3, 2023 | Volume: 7 | Issue: 6 | Pages: No page available

10.1002/adbi.202200221 Get It

Abstract Various intracellular degradation organelles, including autophagosomes, lysosomes, and endosomes, work in tandem to perform autophagy, which is crucial for cellular homeostasis. Altered autophagy contributes to the pathophysiology of various diseases, including cancers and metabolic diseases. This paper aims to describe an approach to reproducibly identify and distinguish subcellular structures involved in macroautophagy. Methods are provided that help avoid common pitfalls. How to distinguish between lysosomes, lipid droplets, autolysosomes, autophagosomes, and inclusion bodies are also discussed. These methods use transmission electron microscopy (TEM), which is able to generate nanometer‐scale micrographs of cellular degradation components in a fixed sample. Serial block face‐scanning electron microscopy is also used to visualize the 3D morphology of degradation machinery using the Amira software. In addition to TEM and 3D reconstruction, other imaging techniques are discussed, such as immunofluorescence and immunogold labeling, which can be used to classify cellular organelles, reliably and accurately. Results show how these methods may be used to accurately quantify cellular degradation machinery under various conditions, such as treatment with the endoplasmic reticulum stressor thapsigargin or ablation of the dynamin‐related protein 1.