👤 Hugo Madeira

Dyslipidemia in gestational diabetes has been associated with worse perinatal outcomes. The ANGPTL3-4-8 axis regulates lipid metabolism, especially in the transition from fasting to feeding. In this study, we evaluated the response of ANGPTL3, 4, and 8 after the intake of a mixed meal in women with normal glucose tolerance and gestational diabetes, and we assessed their gene expressions in different placental locations. Regarding the circulating levels of ANGPTL3, 4, and 8, we observed an absence of ANGPTL4 response after the intake of the meal in the GDM group compared to its presence in the control group. At the placental level, we observed a glucose tolerance-dependent expression pattern of Show less

Mass spectrometry (MS)-based techniques can be a powerful tool to identify neuropsychiatric disorder biomarkers, improving prediction and diagnosis ability. Here, we evaluate the efficacy of MS proteomics applied to human peripheral fluids of schizophrenia (SCZ) patients to identify disease biomarkers and relevant networks of biological pathways. Following PRISMA guidelines, a search was performed for studies that used MS proteomics approaches to identify proteomic differences between SCZ patients and healthy control groups (PROSPERO database: CRD42021274183). Nineteen articles fulfilled the inclusion criteria, allowing the identification of 217 differentially expressed proteins. Gene ontology analysis identified lipid metabolism, complement and coagulation cascades, and immune response as the main enriched biological pathways. Meta-analysis results suggest the upregulation of FCN3 and downregulation of APO1, APOA2, APOC1, and APOC3 in SCZ patients. Despite the proven ability of MS proteomics to characterize SCZ, several confounding factors contribute to the heterogeneity of the findings. In the future, we encourage the scientific community to perform studies with more extensive sampling and validation cohorts, integrating omics with bioinformatics tools to provide additional comprehension of differentially expressed proteins. The produced information could harbor potential proteomic biomarkers of SCZ, contributing to individualized prognosis and stratification strategies, besides aiding in the differential diagnosis. Show less

The influence of genotype (lean v. fatty) and dietary protein level (normal v. reduced) on plasma metabolites, hepatic fatty acid composition and mRNA levels of lipid-sensitive factors is reported for the first time, using the pig as an experimental model. The experiment was conducted on forty entire male pigs (twenty lean pigs of Large White×Landrace×Pietrain cross-breed and twenty fatty pigs of Alentejana purebreed) from 60 to 93 kg of live weight. Each pig genotype was divided into two subgroups, which were fed the following diets: a normal protein diet (NPD) equilibrated for lysine (17·5 % crude protein and 0·7 % lysine) and a reduced protein diet (RPD) not equilibrated for lysine (13·1 % crude protein and 0·4 % lysine). The majority of plasma metabolites were affected by genotype, with lean pigs having higher contents of lipids, whereas fatty pigs presented higher insulin, leptin and urea levels. RPD increased plasma TAG, free fatty acids and VLDL-cholesterol compared with NPD. Hepatic total lipids were higher in fatty pigs than in the lean genotype. RPD affected hepatic fatty acid composition but had a slight influence on gene expression levels in the liver. Sterol regulatory element-binding factor 1 was down-regulated by RPD, and fatty acid desaturase 1 (FADS1) and fatty acid binding protein 4 (FABP4) were affected by the interaction between genotype and diet. In pigs fed RPD, FADS1 was up-regulated in the lean genotype, whereas FABP4 increased in the fatty genotype. Although there is a genotype-specific effect of dietary protein restriction on hepatic lipid metabolism, lipogenesis is not promoted in the liver of lean or fatty pigs. Show less

Sarcomeric hypertrophic cardiomyopathy has heterogeneous phenotypic expressions, of which sudden cardiac death is the most feared. A genetic diagnosis is essential to identify subjects at risk in each family. The spectrum of disease-causing mutations in the Portuguese population is unknown. Seventy-seven unrelated probands with hypertrophic cardiomyopathy were systematically screened for mutations by PCR and sequencing of five sarcomeric genes: MYBPC3, MYH7, TNNT2, TNNI3 and MYL2. Familial cosegregation analysis was performed in most patients. Thirty-four different mutations were identified in 41 (53%) index patients, 71% with familial hypertrophic cardiomyopathy. The most frequently involved gene was MYBPC3 (66%) with 22 different mutations (8 novel) in 27 patients, followed by MYH7 (22%), TNNT2 (12%) and TNNI3 (2.6%). In three patients (7%), two mutations were found in MYBPC3 and/or MYH7. Additionally, 276 relatives were screened, leading to the identification of a mean of three other affected relatives for each pedigree with the familial form of the disease. Disease-associated mutations were identified mostly in familial hypertrophic cardiomyopathy, corroborating the idea that rarely studied genes may be implicated in sporadic forms. Private mutations are the rule, MYBPC3 being the most commonly involved gene. Mutations in MYBPC3 and MYH7 accounted for most cases of sarcomere-related disease. Multiple mutations in these genes may occur, which highlights the importance of screening both. The detection of novel mutations strongly suggests that all coding regions should be systematically screened. Genotyping in hypertrophic cardiomyopathy enables a more precise diagnosis of the disease, with implications for risk stratification and genetic counseling. Show less

Hypertrophic Cardiomyopathy (HCM) is a complex myocardial disorder with a recognized genetic heterogeneity. The elevated number of genes and mutations involved in HCM limits a gene-based diagnosis that should be considered of most importance for basic research and clinical medicine. In this report, we evaluated High Resolution Melting (HRM) robustness, regarding HCM genetic testing, by means of analyzing 28 HCM-associated genes, including the most frequent 4 HCM-associated sarcomere genes, as well as 24 genes with lower reported HCM-phenotype association. We analyzed 80 Portuguese individuals with clinical phenotype of HCM allowing simultaneously a better characterization of this disease in the Portuguese population. HRM technology allowed us to identify 60 mutated alleles in 72 HCM patients: 49 missense mutations, 3 nonsense mutations, one 1-bp deletion, one 5-bp deletion, one in frame 3-bp deletion, one insertion/deletion, 3 splice mutations, one 5'UTR mutation in MYH7, MYBPC3, TNNT2, TNNI3, CSRP3, MYH6 and MYL2 genes. Significantly 22 are novel gene mutations. HRM was proven to be a technique with high sensitivity and a low false positive ratio allowing a rapid, innovative and low cost genotyping of HCM. In a short return, HRM as a gene scanning technique could be a cost-effective gene-based diagnosis for an accurate HCM genetic diagnosis and hopefully providing new insights into genotype/phenotype correlations. Show less

Hypertrophic cardiomyopathy (HCM), a complex myocardial disorder with an autosomal dominant genetic pattern and prevalence of 1:500, is the most frequent cause of sudden death in apparently healthy young people. The benefits of gene-based diagnosis of HCME for both basic research and clinical medicine are limited by the considerable costs of current genetic testing due to the large number of genes and mutations involved in this pathology. However, coupling two high-throughput techniques--mass spectrometry genotyping (MSG) and high resolution melting (HRM)--is an encouraging new strategy for HCM diagnosis. Our aim was to evaluate the diagnostic efficacy of both techniques in this pathology by studying 13 individuals with a clinical phenotype of HCM. Peripheral blood samples were collected from: (i) seven subjects with a clinical diagnosis of HCM, all bearing known mutations previously identified by dideoxy sequencing and thus being used as blinded samples (sample type 1); (ii) one individual with a clinical diagnosis of HCM negative for mutations after dideoxy sequencing of the five most common HCM genes, MYH7, MYBPC3, TNNI3, TNNT2 and MYL2 (sample type 2); and (iii) five individuals individual with a clinical diagnosis of HCM who had not previously been genetically studied (sample type 3). The 13 samples were analyzed by MSG for 534 known mutations in 32 genes associated with HCM phenotypes and for all coding regions and exon-intron boundaries of the same HCM genes by HRM. The 32 studied genes include the most frequent HCM-associated sarcomere genes, as well as 27 genes with lower reported HCM phenotype association. This coupled genotyping strategy enabled us to identify a c.128delC (p.A43Vfs165) frame-shift mutation in the CSRP3 gene, a gene not usually studied in current HCM genetics. The heterozygous CSRP3 mutation was found in two patients (sample types 2 and 3) aged 50 and 52 years, respectively, both with diffuse left ventricular hypertrophy. Furthermore, this coupled strategy enabled us to find a novel mutation, c.817C >T (p.Arg273Cys), in MYBPC3 in an individual from sample type 3, subsequently confirmed by dideoxy sequencing. This novel mutation in MYBPC3, not present in 200 chromosomes from 200 healthy individuals, affects a codon known to harbor an HCM-causing mutation--p.Arg253His. In conclusion, in the cohort used in this work coupling two technologies, MSG and HRM, with high sensitivity and low false positive results, enabled rapid, innovative and low-cost genotyping of HCM patients, which may in the short-term be suitable for accurate genetic diagnosis of HCM. Show less

Hypertrophic cardiomyopathy (HCM) is a genetic disease associated with mutations in genes encoding cardiac sarcomere proteins. A mutation is identified in two-thirds of cases, and more frequently in familial forms. Doubts remain concerning the true identity of the sporadic form. To compare, in a genotyped population, the phenotypic expression of the disease over time in patients with familial and sporadic HCM. 79 patients with HCM, aged 39 +/- 17.8 years at diagnosis, were followed for 12 +/- 9.5 (1-30) years and divided into two groups: G1 (familial)--68 patients (24 unrelated index patients, 44 relatives), follow-up time (FUP) 12 +/- 9.8 (1-30) years; G2 (sporadic)1 index patients (no phenotypic disease in first-degree relatives), FUP 10.8 +/- 8 (2-24) years. Fabry disease was excluded in G2. The two groups were compared regarding clinical, ECG and echocardiographic (echo) features at diagnosis and after FUP. Five sarcomere genes (MYH7, MYBPC3, TNNT2, MYL2 and TNNI3) were screened for mutations by direct sequencing, after PCR amplification with intronic sets of oligonucleotide primers designed according to the published genomic sequence of the genes. A) Thirteen different mutations (in 3 genes) were identified in 14 index patients in G1; only in one patient in G2 was a mutation found. B) The two groups differed clinically in age at diagnosis (G1: 37.18 (4-79) years; G2: 51 +/- 14 (19-67) years; p = 0.02), and family history of sudden cardiac death (G1: 12/24 families; G2: 1/11 families; p = 0.04). Age, gender, FUP, symptoms, need for medical treatment, cardiovascular (CV) hospitalization and mortality (CV or any cause) were similar. C) ECG patterns did not differ, although significant (but similar) changes occurred in 45% (G1) and 36% (G2) of patients (p = 0.75). These changes were in the same direction, with a trend in both groups toward the development of atrial fibrillation and/or advanced conduction disease. D) Echo features (only considered in adults) were similar despite significant changes during FUP (in 68% of G1, and 82% of G2; p = 0.48). These changes also followed the same tendency: progression to a more diffuse pattern of ventricular hypertrophy (G1: 52%; G2: 73%; p = 0.33) and development of left atrial dilatation (G1: 37%; G2: 45%; p = 0.52). The similar phenotypic expression and behavior over time in familial and sporadic forms of HCM strongly indicate that the disease is one and the same. Differences in genetic findings, age at diagnosis and family history of sudden death suggest that sporadic forms may be caused by low penetrance de novo mutations in sarcomeric genes other than those associated with familial disease. Show less