Genetic Susceptibility to Listeriosis
ListeriosisListeriosis is a rare, severe foodborne infection, responsible for severe invasive infections. It occurs in the great majority of cases in elderly patients and / or patients with comorbidities, with a deficit of innate or cellular immunity. Pregnancy is also a risk factor. The Multicentric Observational NAtional Analysis of Listeriosis and Listeria (MONALISA) is an ongoing national case-control prospective study on listeriosis implemented since 2009 to study risk and prognosis factors for listeriosis. In this cohort, which enrolled 902 patients on 1 August 2014, 7% of patients with neurolisteriosis are under 40 years of age and have no identified risk factor. Genetic susceptibility is suspected in these patients. Genetic susceptibility could also explain the inconstant development of a neurolisteriosis or fetal infection, as well as the particular severity of some infections (death, foetal loss, neurological sequelae). The aim of the study is to identify genetic susceptibility to Listeriosis.
National Study on Listeriosis and Listeria
ListeriosisPregnancy Complications4 moreListeriosis is a foodborne infection responsible for severe disease. Three main forms are described: septicaemia, central nervous system infections and maternal-fetal infections. Available data on the disease, are mostly retrospective and do not provide an accurate picture of the clinical / biological / genetic risk factors for the disease, nor identify any element to determine which patients are at higher risk of death, severe neurological impairment or fetal loss. The primary purpose of the study is to identify clinical, biological and genetic risk factors for systemic listeriosis and the determinants of listeriosis-associated mortality in the setting of a large prospective nation-wide study.
Neurological Consequences of Perinatal Listeriosis Infection
Perinatal ListeriosisThe purpose of the study is to determine whether perinatal listeriosis is associated with long-term neurological consequences, and to evaluate the respective contribution of perinatal sepsis, of prematurity and of the known neurological tropism of the involved pathogen, Listeria monocytogenes.
Genetic Susceptibility and Biomarkers in Listeriosis
ListeriosisListeriosis is a rare, severe foodborne infection caused by the bacterium Listeria monocytogenes (Lm). It manifests as septicemia, central nervous system (CNS) infection and maternal-fetal (MF) infection. Its associated overall mortality is very high, above of 30%. A better knowledge on the factors involved in its occurrence and in clinical manifestations is therefore needed to improve outcome. A number of frequent acquired risk factors for listeriosis have been identified, such as pregnancy, diabetes, cancer, HIV infection, and immunosuppressive therapies. However, no genetic study on host susceptibility to listeriosis in humans has been performed so far, in the absence of prospective collection of patients' samples. Also, listeriosis diagnosis is based on Lm culture from clinical samples. This method lacks sensitivity, and the contribution of biomarkers to listeriosis diagnosis and prognosis has not been evaluated. The Multicentric Observational NAtional Analysis of Listeriosis and Listeria (MONALISA), is the first national case-control prospective study on listeriosis. It is implemented since 2009 and enrolls all culture-proven cases declared to the NRCL: and collects for each patient clinical and biological data and biological samples. Controls with comparable background and presentation are also included. 818 cases have been included (427 S, 252 CNS and 107 MN) over 3.5 years, along with 456 controls. The aim of the study is to identify human genetic susceptibility factors to listeriosis, biomarkers to improve its diagnosis and prognosis (survival or death), and thereby help improve management of patients with listeriosis. Samples from the completed cohort will be analyzed : SNPs genotyping and exam sequencing; biomarkers a identification in serum and plasma of patients and controls by simultaneous multi-analyte and metabolomic profiling.