AI Article Synopsis

  • The study investigates the relationship between HIV infection and metabolic disorders by focusing on serum aromatic amino acid (AAA) metabolites as potential biomarkers.
  • Researchers used advanced techniques like high-performance liquid chromatography-tandem mass spectrometry to analyze these metabolites in patients and found that certain levels were effectively quantifiable.
  • The method established in this research allows for sensitive measurements of AAA metabolism, which could aid in understanding HIV progression and the metabolic syndrome associated with it, particularly highlighting phenylacetylglutamine (PAGln) as a significant biomarker.

Article Abstract

Background: Acquired immune deficiency syndrome (AIDS), human immunodeficiency virus (HIV) infection, and antiretroviral therapy are usually associated with metabolic disorders. Screening for biomarkers to evaluate the progression of metabolic disorders is important for the diagnosis and treatment of HIV infection. This study aimed to establish and validate a method to quantify serum aromatic amino acid (AAA) metabolites as biomarkers of metabolic disorders in patients with HIV.

Methods: The AAAs and metabolites were analyzed using high-performance liquid chromatography-tandem mass spectrometry. Pearson's correlation, heatmap, and receiver operating characteristic curve analyses were used for statistical analysis.

Results: Under optimal detection conditions, the lower limits of phenylalanine (Phe), tryptophan (Trp), kynurenine (Kyn), tyrosine, phenylacetylglutamine (PAGln), and 5-hydroxytryptamine quantification reached 0.02, 0.02, 0.01, 0.02, 0.01, and 0.002 μg/ml, respectively, and the precision of intra- and inter-day was stay below 10.30%. Serum samples were stable for at least 6 months when stored at -80°C. The inter-group differences and associations between the biomarkers exhibited a particular volatility trend in PAGln, Trp, and Kyn metabolism in HIV-infected patients with metabolic syndrome.

Conclusions: The developed method can be used for rapid and sensitive quantification of the AAA metabolism profile in vivo to further appraise the process of HIV infection, evaluate intervening measures, conduct mechanistic investigations, and further study the utility of PAGln, a characteristic metabolite of AAA, as a biomarker of HIV infection coupled with metabolic syndrome.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9833958PMC
http://dx.doi.org/10.1002/jcla.24795DOI Listing

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