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Association of classical markers and establishment of the dyslipidemic sub-phenotype of sickle cell anemia

Overview of attention for article published in Lipids in Health and Disease, April 2017
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Title
Association of classical markers and establishment of the dyslipidemic sub-phenotype of sickle cell anemia
Published in
Lipids in Health and Disease, April 2017
DOI 10.1186/s12944-017-0454-1
Pubmed ID
Authors

Milena Magalhães Aleluia, Caroline Conceição da Guarda, Rayra Pereira Santiago, Teresa Cristina Cardoso Fonseca, Fábia Idalina Neves, Regiana Quinto de Souza, Larissa Alves Farias, Felipe Araújo Pimenta, Luciana Magalhães Fiuza, Thassila Nogueira Pitanga, Júnia Raquel Dutra Ferreira, Elisângela Vitória Adorno, Bruno Antônio Veloso Cerqueira, Marilda de Souza Gonçalves

Abstract

Sickle cell anemia (SCA) patients exhibit sub-phenotypes associated to hemolysis and vaso-occlusion. The disease has a chronic inflammatory nature that has been also associated to alterations in the lipid profile. This study aims to analyze hematological and biochemical parameters to provide knowledge about the SCA sub-phenotypes previously described and suggest a dyslipidemic sub-phenotype. A cross-sectional study was conducted from 2013 to 2014, and 99 SCA patients in steady state were enrolled. We assessed correlations and associations with hematological and biochemical data and investigated the co-inheritance of -α(3.7Kb)-thalassemia (-α(3.7Kb)-thal). Correlation analyses were performed using Spearman and Pearson coefficient. The median of quantitative variables between two groups was compared using t-test and Mann-Whitney. P-values <0.05 were considered statistically significant. We found significant association of high lactate dehydrogenase levels with decreased red blood cell count and hematocrit as well as high levels of total and indirect bilirubin. SCA patients with low nitric oxide metabolites had high total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol and reduced very low-density cholesterol, triglycerides, direct bilirubin level and reticulocyte counts. In SCA patients with high-density lipoprotein cholesterol greater than 40 mg/dL, we observed increased red blood cell count, hemoglobin, hematocrit, and fetal hemoglobin and decreased nitric oxide metabolites levels. The presence of -α(3.7Kb)-thal was associated with high red blood cell count and low mean corpuscular volume, mean corpuscular hemoglobin, platelet count and total and indirect bilirubin levels. Our results provide additional information about the association between biomarkers and co-inheritance of -α(3.7Kb)-thal in SCA, and suggest the role of dyslipidemia and nitric oxide metabolites in the characterization of this sub-phenotype.

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Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 12%
Student > Master 6 12%
Researcher 4 8%
Student > Ph. D. Student 4 8%
Other 3 6%
Other 5 10%
Unknown 24 46%
Readers by discipline Count As %
Medicine and Dentistry 9 17%
Biochemistry, Genetics and Molecular Biology 6 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Agricultural and Biological Sciences 3 6%
Nursing and Health Professions 2 4%
Other 3 6%
Unknown 26 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 September 2017.
All research outputs
#18,572,844
of 23,003,906 outputs
Outputs from Lipids in Health and Disease
#988
of 1,457 outputs
Outputs of similar age
#235,964
of 310,150 outputs
Outputs of similar age from Lipids in Health and Disease
#17
of 25 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,457 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 310,150 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.