Background: Sickle cell disease (SCD) is a heredity group of anemia characterized by hemolysis, chronic inflammation, and vaso-occlusive/painful crisis. The heme is a product of erythrocytes' lyses and is increased in hemolytic diseases. Objectives: To investigate associations between hematological/biochemistry biomarkers and total plasma heme levels between SCD patients groups (in crisis and in steady-state) and healthy controls. To identify molecules related to hemolysis, inflammation, hepatic dysfunction, renal and lipid metabolism. Methods: We evaluated a total of 125 SCD steady-state patients, 22 SCD in crisis patients, and 32 healthy individuals age- and sex-matched with patients groups. Hematological analyses were performed by automatic cell counter, and hemoglobin profile by HPLC. Biochemistry analyses of inflammatory and infection markers, as well as lipid, hepatic, and kidney metabolism markers were investigated by immunochemistry assays. Plasma concentration of total free heme was measured by QuantiChrom Heme Assay Kit. Results: SCD patients groups (steady state and crisis) had higher heme concentration when compared to healthy individuals (p < 0.0001). However, significant difference of heme level was not finding in the comparison between SCD in steady state and SCD crisis patients groups. Biomarkers analyses of steady-state SCD patients showed negative correlation between heme levels and: red blood cell (r = -0.36, p<0.0001); hematocrit (r = -0.38, p <0.0001); hemoglobin (r = -0.34, p <0.0001); and HDL-C (r = -0.42, p <0.0001). Heme level showed positive correlation with: platelets (r = 0.35, p <0.0001); lactic dehidrogenase (r = 0.40, p <0.0001); reticulocytes count (r = 0.19, p =0.04); monocytes count (r = 0.36, p <0.0001); HbS concentration (r = 0.54, p <0.0001); total proteins (r = 0.22, p =0.01); AST (r = 0.41, p <0.0001); ALT (r = 0.18, p= 0.04); serum iron (r =0.21, p =0.03); total cholesterol (r = 0.23, p =0.01); LDL-C (r = 0.22, p= 0.02); VLDL-C (r = 0.65, p <0.0001); and triglycerides (r = 0.63, p <0.0001). In steady state SCD patients there was no difference of clinical manifestations history and heme levels. Conclusions: The finding of similar heme concentration between steady state and crisis SCD patients may be explained by the hyperhemolysis phenomenon, showing that even in steady-state, these patients continue to have hemolysis and generate heme and reactive oxygen species. It was also shown that high concentration of free heme increases hemolytic and inflammatory biomarkers, such as LDH, bilirubin's, reticulocytes count, and lipids, contributing to a severe clinical modulation of SCD. Disclosures No relevant conflicts of interest to declare.
RESUMODiante do aumento no interesse do kefir pela indústria de alimentos, associado principalmente as suas propriedades funcionais, bem como suas novas possibilidades de aplicação, o objetivo desta prospecção foi realizar um monitoramento tecnológico para avaliar o panorama mundial da proteção de processos e produtos relacionados a esta matéria-prima, investigando os documentos de patentes depositados por país de origem, a evolução anual de depósito, e as áreas de proteção no mundo. As primeiras patentes encontradas foram de titularidade da Grã-Bretanha, sendo a primeira em 1899. Pode-se assim considerar esta como uma tecnologia extremamente antiga, entretanto, que é de interesse até os dias atuais. Os países asiáticos, em especial o Japão, são os principais detentores desta tecnologia. O Brasil ainda é um país que pouco se destaca nesta área tecnológica, necessitando, portanto, de mais incentivos governamentais para apoiar as pesquisas nessa área.Palavras Chave: kefir, alimentos funcionais, patentes, prospecção.
Background: Sickle cell disease (SCD) is a group of inherited anemia characterized by heterogeneous clinical outcome, including hemolysis, chronic inflammation, and vaso-occlusive/painful crisis. Aims: We evaluated inflammatory and anti-inflammatory mediators, such as TNFα, IL-10, IL-12, IL-1β, IL-6, and IL-8, TGF-beta, tissue inhibitor of metalloproteinase (TIMP1), matrix metalloproteinase 9 (MMP9), heme, and leukotriene B4 (LTB4), and prostaglandin E2 (PGE2), the last two are products of the eicosanoid synthesis pathways, in SCD patients (in steady-state and in crisis-state) and healthy controls. For the same groups, in order to establish biomarkers of crisis and steady-state, we also investigated association among inflammatory/anti-inflammatory mediators and markers of hemolysis, inflammation, hepatic dysfunction, renal and lipid metabolism. Methods. We assessed 129 SCD steady-state patients (SP), 23 SCD in crisis patients (CP), and 67 healthy individuals (HC) age- and sex-matched with patients groups. Hematological analyzes were performed by automatic cell counter and hemoglobin profile by HPLC. Biochemistry analyses of inflammation and infection markers, as well as lipid, hepatic, and kidney metabolism markers were investigated by immunochemistry assays. Plasma levels of TNFα, IL-10, IL-12, IL-1β, IL-6 and IL-8 were measured using Cytometric Bead Array (CBA) according to the manufacturer's protocol. Plasma concentration of total heme was measured by QuantiChrom Heme Assay Kit. PGE2, LTB4, TGF-beta, TIMP1 and MMP9 levels were estimated in plasma samples and supernatants by ELISA, according to the manufacturer's instructions. Results . Steady-state SCD patients had the highest values of LTB4, PGE2, TIMP1, MMP9, IL-8, and IL-12 concentration compared with CP and HC groups (p < 0.0001). However, crisis-state SCD patients had the highest values of IL-1β, IL-6, IL-10, TNFα compared to HC and SP groups, and had a the lowest levels of LTB4, PGE2,TGF-β, MMP9, IL-8 and IL-12 levels (p < 0.0001 for both analysis). Significant difference of heme levels was not finding among the three groups. The ROC curve showed that LTB4, PGE2 and TGF- β are important markers related to steady state and IL-1β, IL-6, and TNFα are markers of crisis in SCD. Conclusions: The finding of difference in inflammatory markers level in steady state and crisis SCD patients suggest that these markers can be used to monitoring patients and to predict crisis events. The finding of similar heme concentration between steady-state and crisis-state SCD patients may be explained by the hyperhemolysis phenomenon, showing that even in steady-state, these patients continuous to have hemolysis and, consequently, continuous to generate heme and reactive oxygen species. Disclosures No relevant conflicts of interest to declare.
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