Publications by authors named "G Lliso"

Although great progress has been made in the past decade toward understanding the pathogenesis of rheumatoid arthritis (RA), clinicians remain some distance from a goal of personalized health care. The capacity to diagnose RA early, predict prognosis, and moreover predict response to biologic therapies has been a research focus for many years. How currently available clinical prediction models can facilitate such goals is reviewed in this article.

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Background: Antiphospholipid syndrome is defined by the combination of thrombotic events and/or obstetric morbidity in patients who have tested positive persistently for antiphospholipid antibodies. With good treatment, approximately 70% of pregnant women with antiphospholipid syndrome will deliver a viable live infant. However, current management does not prevent all maternal, fetal, and neonatal complications of antiphospholipid syndrome.

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Article Synopsis
  • The study aimed to identify factors linked to the development of microalbuminuria by analyzing genomic and metabolomic data from a sample of 1,502 Caucasian subjects over 18 years old.
  • A total of 1,217 subjects were examined, revealing a unique metabolomic profile in those with microalbuminuria that included specific metabolic products and branched amino acids.
  • The analysis highlighted two significant SNPs: the rs10492025_TT of the RPH3A gene, which may increase the risk, and the rs4359_CC of the ACE gene, which may decrease the risk of developing microalbuminuria, with age being a distinguishing factor among individuals sharing the same genotype and metabolomic profile.
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