Concordance among methods of nutritional assessment in patients included on the waiting list for liver transplantation

[Abstract] Background: The aim of the present study was to determine the extent of malnutrition in patients waiting for a liver transplant. The agreement among the methods of nutritional assessment and their diagnostic validity were evaluated. Methods: Patients on the waiting list for liver transplantation (n = 110) were studied. The variables were: body mass index, analytical parameters, liver disease etiology, and complications. Liver dysfunction was evaluated using the Child-Pugh Scale. Nutritional state was studied using the Controlling Nutritional Status (CONUT), the Spanish Society of Parenteral and Enteral Nutrition (SENPE) criteria, the Nutritional Risk Index (NRI), the Prognostic Nutritional Index (PNI-O), and the Subjective Global Assessment (SGA). Agreement was determined using the Kappa index. Area under receiver operator characteristic curves (AUCs), the Youden index (J), and likelihood ratios were computed. Results: Malnutrition varied depending on the method of evaluation. The highest value was detected using the CONUT (90.9%) and the lowest using the SGA (50.9%). The pairwise agreement among the methods ranged from K = 0.041 to K = 0.826, with an overall agreement of each criteria with the remaining methods between K = 0.093 and K = 0.364. PNI-O was the method with the highest overall agreement. Taking this level of agreement into account, we chose the PNI-O as a benchmark method of comparison. The highest positive likelihood ratio for the diagnosis of malnutrition was obtained from the Nutritional Risk Index (13.56). Conclusions: Malnutrition prevalence is high and prevalence estimates vary according the method used, with low concordance among methods. PNI-O and NRI are the most consistent methods to identify malnutrition in these patients.Instituto de Salud Carlos III; PI11/012

Shotgun proteomics and schizophrenia: in the search of protein biomarkers in blood

Poster.-- VII Xornada de Investigación BIOINTEGRASAUDE 2019, Santiago de Compostela, 14 de maioSchizophrenia (SZ) is defined as a highly complex multifactorial neuropsychiatric disorder whose pathogenicity is the result of the sum of genetic and environmental risk factors. Currently, its diagnosis is made through clinical interviews and mental evaluations, which have a high reliability but that lack the support of biological tests that corroborate them. Therefore, the search for biomarkers is extremely important when the ultimate goal is to obtain a correct diagnosis, prognosis and/or theragnosis of the disease. In recent years, proteomics has contributed greatly to the identification of new protein biomarkers that identify this pathology. Within the set of techniques that they cover, the proteomic shotgun allows the identification of proteins from a peptide mixture, product of the enzymatic digestion of all the proteins present in a sample. For this, one of the methodologies used is liquid chromatography coupled to mass spectrometry in the system (LC-MS/MS), which allows the separation and subsequent analysis of all the peptides present in the sample. The objective of this study is the search for peripheral protein biomarkers present in the blood through the LC-MS/MS technology, which through a minimally invasive procedure such as a routine blood test, provide information in the clinic about this psychopathology. To do this, we will analyze the proteome of peripheral mononuclear cells - PBMCs (lymphocytes and monocytes) extracted from the blood samples of patients with SZ before and after treatment, as well as the individuals taken as controlPeer reviewe

Shotgun proteomics and schizophrenia in the search of protein biomarkers in blood

Poster.-- III Annual Meeting CINBIO: from bench to bedside: diagnosis, therapy & data analysis, 1st and 2nd of July 2019, VigoSchizophrenia (SZ) is defined as a highly complex multifactorial neuropsychiatric disorder whose pathogenicity is the result of the sum of genetic and environmental risk factors. Currently, its diagnosis is made through clinical interviews and mental evaluations, which have a high reliability but that lack the support of biological tests that corroborate them. Therefore, the search for biomarkers is extremely important when the ultimate goal is to obtain a correct diagnosis, prognosis and/or theragnosis of the disease. In recent years, proteomics has contributed greatly to the identification of new protein biomarkers that identify this pathology. Within the set of techniques that they cover, the proteomic shotgun allows the identification of proteins from a peptide mixture, product of the enzymatic digestion of all the proteins present in a sample. For this, one of the methodologies used is liquid chromatography coupled to mass spectrometry in the system (LCMS/MS), which allows the separation and subsequent analysis of all the peptides present in the sample. The objective of this study is the search for peripheral protein biomarkers present in the blood through the LC-MS/MS technology, which through a minimally invasive procedure such as a routine blood test, provide information in the clinic about this psychopathology. To do this, we will analyze the proteome of peripheral mononuclear cells - PBMCs (lymphocytes and monocytes) extracted from the blood samples of patients with SZ before and after treatment, as well as the individuals taken as controlPeer reviewe

Shotgun proteomics applied to the study of new biomarkers in schizophrenia

Poster.-- 18th National Meeting of the Spanish Society in Neuroscience, September 4th, 2019 to September 6th, 2019, Santiago de CompostelaShotgun proteomics allow the study of the complete proteome without the need to work with isolated proteins. In this techniques, from the enzymatic digestion of the proteins contained in a biological sample can be carried out a massive analysis of the peptides obtained by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). Because this technique allows a proteomic analysis from a wide range of biological samples, shotgun proteomics turns out to be highly interesting in the identification of biomarkers of mental disorders like Schizophrenia (SZ), where the affected tissue cannot be analysed in vivo and in which case the study is made from biological fluids such as bloodThis work was supported by a Ramón & Cajal grant (RYC-2014-15246) and by Galicia Innovation Agency-GAIN grant (IN607D-2016/003; IN607D-2017/01).Peer reviewe