LUZ MARINA GOMEZ GOMEZ
Projetos de Pesquisa
Unidades Organizacionais
LIM/51 - Laboratório de Emergências Clínicas, Hospital das Clínicas, Faculdade de Medicina
3 resultados
Resultados de Busca
Agora exibindo 1 - 3 de 3
- Biomarker-associated Monocyte Inflammatory Signaling in Myocardial Infarction(2023) GUIMARÃES, Raphael Boesche; MARCHINI, Julio; GOMEZ, Luz Marina; LEITE, Rogério Sarmento; DUTRA, Oscar; CASTRO, Iran; MANICA, André LuizAbstract Background: Monocytes are essential components in inflammatory signaling, and their recruitment is crucial in the signaling pathway, which directs and determines cell adhesion to the activated endothelium. A better understanding of the correlation between monocyte subsets and inflammatory signaling in patients with atherosclerotic disease in acute coronary syndrome (ACS) is essential for the development of more effective therapies for the prevention and treatment of cardiovascular diseases. Objective: To analyze differences between biomarkers and monocyte activation in the setting of ischemic heart disease. Methods: This was a case-control study comparing biomarkers and monocyte subsets between patients with ACS with and without ST-segment elevation and individuals without coronary stenosis. The nonparametric Kruskal-Wallis test was used to assess differences between groups, and Dunn's post hoc test was used to identify which groups were different. Cuzick's test for ordered group trends was used to assess falling or rising trends. Participants were classified into 3 groups: control (0); non-ST-elevation myocardial infarction (NSTEMI) (1); ST-elevation myocardial infarction (STEMI) D1 (2). Results: Forty-seven patients with ACS and 19 controls with no obstructive lesions on coronary angiography were recruited. Monocyte profile assessment was statistically different regarding time of symptom onset and the presence or absence of atherosclerotic disease (Kruskal-Wallis, p = 0.0009). Dunn's post hoc test showed a significant difference between the control group and the STEMI D1 (p = 0.0014), STEMI D3 (p = 0.0036), and STEMI D7 (p = 0.0195) groups, corresponding to a 2-fold increase in classical (p = 0.0022) and nonclassical (p = 0.0031) monocytes compared with controls. For classical monocytes, there was a difference between the control group and all STEMI groups and between the NSTEMI group and the STEMI D1, D3, and D7 groups. For nonclassical monocytes, there was a difference between the control group and the STEMI D7 group (p = 0.0056) and between the NSTEMI group and the STEMI D7 group (p = 0.0166). Conclusion: This study found that there was an increase in total and classical monocyte mobilization at the time of acute myocardial infarction in patients with ACS.
- Brain injury biomarkers do not predict delirium in acutely ill older patients: a prospective cohort study(2023) ALENCAR, Julio Cesar Garcia de; GARCEZ, Flavia Barreto; PINTO, Agnes Araujo Sardinha; SILVA, Lucas Oliveira Junqueira e; SOLER, Lucas de Moraes; FERNANDEZ, Shirley Steffany Munoz; VAISBERG, Victor Van; GOMEZ, Luz Marina Gomez; RIBEIRO, Sandra Maria Lima; AVELINO-SILVA, Thiago Junqueira; SOUZA, Heraldo PossoloDelirium is a common, serious, and often preventable neuropsychiatric emergency mostly characterized by a disturbance in attention and awareness. Systemic insult and inflammation causing blood-brain-barrier (BBB) damage and glial and neuronal activation leading to more inflammation and cell death is the most accepted theory behind delirium's pathophysiology. This study aims to evaluate the relationship between brain injury biomarkers on admission and delirium in acutely ill older patients. We performed a prospective cohort study which analyzed plasma S100B levels at admission in elderly patients. Our primary outcome was delirium diagnosis. Secondary outcomes were association between S100B, NSE and Tau protein and delirium diagnosis and patients' outcomes (admissions to intensive care, length of hospital stay, and in-hospital mortality). We analyzed 194 patients, and 46 (24%) developed delirium, 25 on admission and 21 during hospital stay. Median of S100B at admission in patients who developed delirium was 0.16 and median was 0.16 in patients who didn't develop delirium (p: 0.69). Levels S100B on admission did not predict delirium in acutely ill elderly patients.Trial registration: The study was approved by the local institutional review board (CAPPESq, no. 77169716.2.0000.0068, October 11, 2017) and registered in Brazilian Clinical Trials Registry (ReBEC, no. RBR-233bct).
- The impact of effective participation in stopping misinformation: an approach based on branching processes(2024) GOMEZ, Luz Marina; VALDIVINO, V.; RODRIGUEZ, Pablo M.The emergence of research that focuses on understanding the spreading and impact of disinformation is increasing year after year. Most of the time, the purpose of those who start the spreading of intentionally false information that is designed to cause harm is to catalyze its fast transformation into misinformation, which is the false content shared by people who do not realize it is false or misleading. Our interest is in discussing the role of people who decide to adopt an active role in stopping the propagation of information when they realize that it is false. For this, we formulate two simple probabilistic models to compare misinformation spreading in possible scenarios for which there is a passive or an active environment of aware individuals. With aware individuals, we mean those individuals who realize that a piece of given information is false or misleading. In the passive environment, we assume that if one of an aware individual is exposed to the misinformation then he/she will not spread it. In the active environment, we assume that if one of an aware individual is exposed to the misinformation then he/she will not spread it, but also he/she will stop the propagation to other individuals from the individual who contacted him/her. We appeal to the theory of branching processes to analyze propagation in both scenarios, and we discuss the role and the impact of effective participation in stopping misinformation. We show that the propagation reduces drastically, provided we assume an active environment. We also obtain theoretical and computational results to measure such a reduction, which in turn depends on the proportion of aware individuals and the number of potential contacts of each individual, which is assumed to be random.