Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : ANA CLARA RIBEIRO DE ALMEIDA
DATE: 29/08/2025
TIME: 09:00
LOCAL: Sala de aula II da Gep/mejc
TITLE:
Interaction between infection disease and gestational diabetes: a mendelian randomization and validation cohort
KEY WORDS:
Infectious Diseases; gestational diabetes; ferroptosis; Feeding Behavior; APOE.
PAGES: 52
BIG AREA: Ciências da Saúde
AREA: Nutrição
SUMMARY:
Millions of pregnancies are affected worldwide by gestational diabetes mellitus (GDM) annually. It is already known pregnant women and their neonates are impaired by this metabolic disease, as it is costly to health care systems. GDM drives to high-risk gestation. Furthermore, infections could benefit from gestational immune status to increase its colonization process with fetal and pregnancy’s impact. The vertical transmission could happen and prejudice the neonate. Leishmaniasis, toxoplasmosis, syphilis, cytomegalovirus and human immunodeficiency virus (HIV) are examples of those infections. They are mostly neglected infections, which lead to their maintenance and increase, nevertheless they should be reduced. Both GDM and these pathogens have an interface with immune alterations during pregnancy, although their possible correlation needs to be more investigated. Besides, Leishmania infection and GDM are related to factors others than immunity, such as lipid metabolism alterations and redox balance – which could drive to ferroptosis. Ferroptosis is a type of cell death triggered by excessive cellular free iron and lipid peroxidation. This could be related to both diseases, and to apolipoprotein E (APOE) allele’s profile and diet antioxidant’s capacity. Thus, we aimed to analyze infectious diseases and GDM’s correlation. Ferroptosis’ and asymptomatic L. infantum’s infection’s biomarkers in health and GDM pregnant women and biomarkers’ relation to APOE allele’s profile and feeding behavior. Firstly, we conducted a bidirectional Mendelian Randomization to infer a causal relationship between GDM and those infections. After this, we make a regression score analysis (LDSC) to evaluate the genetic correlation between the traits. Will also be collected data from medical records and peripheral blood from pregnant women. We will access diet quality through a food frequency questionnaire based on NOVA classification. We will evaluate sociodemographic profile, feeding behavior, lipid and lipid peroxidation’s biomarkers and APOE allele’s profile. We will analyze anti-Leishmania antibodies from cord blood. The proportion of cases and controls in the present analysis was not enough to appropriately run the LDSC. But we still found an inverse heritability/genetic correlation between HIV and GDM, without statistic significancy. We also have not found causal inferences between GDM and those infectious with the data used. These preliminar results strengthen the need of the next analysis for better understand the interface between these traits and surther strategies.
COMMITTEE MEMBERS:
Externa à Instituição - CLARICE NEUENSCHWANDER LINS DE MORAIS - IGM
Presidente - 1046091 - JOAO FIRMINO RODRIGUES NETO
Externa ao Programa - 3330361 - VASILIKI LAGOU - null