Herpesvirus Antibodies, Vitamin D and Short-Chain Fatty Acids: Their Correlation with Cell Subsets in Multiple Sclerosis Patients and Healthy Controls.

Although the etiology of multiple sclerosis (MS) is still unknown, it is commonly accepted that environmental factors could contribute to the disease. The objective of this study was to analyze the humoral response to Epstein-Barr virus, human herpesvirus 6A/B and cytomegalovirus, and the levels of 25-hydroxyvitamin D (25(OH)D) and the three main short-chain fatty acids (SCFA), propionate (PA), butyrate (BA) and acetate (AA), in MS patients and healthy controls (HC) to understand how they could contribute to the pathogenesis of the disease. With this purpose, we analyzed the correlations among them and with different clinical variables and a wide panel of cell subsets. We found statistically significant differences for most of the environmental factors analyzed when we compared MS patients and HC, supporting their possible involvement in the disease. The strongest correlations with the clinical variables and the cell subsets analyzed were found for 25(OH)D and SCFAs levels. A correlation was also found between 25(OH)D and PA/AA ratio, and the interaction between these factors negatively correlated with interleukin 17 (IL-17)-producing CD4+ and CD8+ T cells in untreated MS patients. Therapies that simultaneously increase vitamin D levels and modify the proportion of SCFA could be evaluated in the future.

Hb Moncloa: A new variant of haemoglobin that interferes in the quantification of Hb A1c.

BACKGROUND: In most routine laboratories in Spain, the commonly used method for evaluating HbA1c is ion-exchange high performance liquid chromatography (HPLC). The presence of a variant of Hb may interfere with the quantification of HbA1c. AIMS: Here, we report a novel haemoglobin variant, named Hb Moncloa, which was found during a routine health check at the Hospital Clínico San Carlos in Moncloa (Madrid), Spain. METHODS AND RESULTS: Molecular characterization of ß gene identified a novel transversion mutation [ß80(EF4)Asn>Ser; HBB:c.242A>G]. CONCLUSIONS: When there is no correlation between clinical, glycemic status and glycated haemoglobin of the patient, the chromatogram of HbA1c should be carefully checked to detect the possible presence of variants that cause interference in their measurement.

Haemoglobinopathies that occur with decreased HbA2 levels: a gene mutation set involving the δ gene at a Spanish centre.

AIMS: Haemoglobin A2 (HbA2) consists of two globin chains, α and ß. Alterations in any of these genes influences the level of HbA2. Here, we present cases of structural Hb variants and thalassaemias which present either alone or together and reduce the level of HbA2 at varying degrees. Furthermore, we present a novel structural mutation in the δ globin gene, called Hb A2-Madrid. METHODS: The levels of HbA2 and HbF and the different haemoglobin variants were measured and analysed by ion exchange high performance liquid chromatography (HPLC, VARIANT II), the types of haemoglobins were determined by capillary zone electrophoresis (CZE) (Sebia) and the globin chains were determined by reversed-phase HPLC. Genetic analysis was performed by automatic sequencing of the α and δ genes as well as by multiple PCRs for the α globin genes. RESULTS: In α thalassaemia (n=94), the HbA2 levels ranged from 1.39% to 2.43%. Among individuals with δ thalassaemia (n=5), the HbA2 level of those with δ+ thalassaemia was 1.77%, and that of those with δ0 thalassaemia was 1.70%. Among the individuals with 뫧 thalassaemia (n=13), those who were homozygous lacked HbA2. All structural haemoglobinopathies (n=97) were heterozygous; the α chain variants (n=84) presented with an HbA2 level of 1.76%, while the δ chain variants (n=13) presented with a level of 1.75%. CONCLUSION: HbA2 is an essential parameter in the diagnostics of haemoglobinopathies. HPLC-EC and CZE allow the quantification of HbA2. Here, we show that quantification of HbA2 is critical for the identification of α, δ and ßδ thalassaemias. Structural variants are discovered by HPLC. Molecular genetics is required for the proper identification of the mutations. Only with this knowledge is genetic counselling possible.