ASN's Mission

To create a world without kidney diseases, the ASN Alliance for Kidney Health elevates care by educating and informing, driving breakthroughs and innovation, and advocating for policies that create transformative changes in kidney medicine throughout the world.

learn more

Contact ASN

1401 H St, NW, Ste 900, Washington, DC 20005

email@asn-online.org

202-640-4660

The Latest on X

Kidney Week

Please note that you are viewing an archived section from 2019 and some content may be unavailable. To unlock all content for 2019, please visit the archives.

Abstract: SA-PO749

Allopurinol Alters the Metabolome of CKD Patients Beyond Uric Acid-Lowering

Session Information

  • CKD: Mechanisms - III
    November 09, 2019 | Location: Exhibit Hall, Walter E. Washington Convention Center
    Abstract Time: 10:00 AM - 12:00 PM

Category: CKD (Non-Dialysis)

  • 2103 CKD (Non-Dialysis): Mechanisms

Authors

  • Sun, Mingyao, The University of Iowa, Iowa City, Iowa, United States
  • Lacina, Nicole Grace, The University of Iowa, Iowa City, Iowa, United States
  • Kruse, Nicholas, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States
  • Buchanan, Jane, The University of Iowa, Iowa City, Iowa, United States
  • Zepeda-Orozco, Diana, The University of Iowa, Iowa City, Iowa, United States
  • Taylor, Eric, The University of Iowa, Iowa City, Iowa, United States
  • Jalal, Diana I., The University of Iowa, Iowa City, Iowa, United States
Background

Allopurinol, a xanthine oxidase (XO) inhibitor, is the most commonly prescribed uric acid-lowering agent in patients with chronic kidney disease (CKD). Although experimental evidence suggests allopurinol has broader effects on the metabolome, these potential effects have not been characterized in CKD. Here, we sought to evaluate the effects of allopurinol on the metabolome of CKD patients.

Methods

Gas chromatography mass spectrometry (GC-MS) was performed on the serum of 31 subjects who participated in a 12-week randomized clinical trial of allopurinol vs placebo. Metabolites of central carbon metabolism included the TCA cycle, glycolysis, the pentose phosphate pathway, amino acid metabolism, neurotransmission, reactive oxygen species defense, and energetics. Metabolites were compared at baseline to the end of study for allopurinol and placebo (paired t test). MetaboAnalyst software was utilized to identify metabolic pathways.

Results

Of the 90 metabolites evaluated by GC-MS, 6 were significantly altered after allopurinol treatment but not placebo (Table). MetaboAnalyst indicated the pentose phosphate (PP) pathway and purine and pyrimidine metabolism were the top pathways affected by allopurinol. Allopurinol inhibited purine metabolism, resulting in decreased serum uric acid (-3.7 ± 1.0mg/dL) vs placebo (0.1 ± 1.5 mg/dL) (p<0.0001) and increased the precursor xanthine. Allopurinol inhibited PP pathway activity as downstream product ribose-5-phosphate decreased and upstream precursor glucose-6-phosphate increased.

Conclusion

We describe, for the first time, important effects of allopurinol on the metabolome of CKD patients. Specifically, PP pathway inhibition is known to contribute to oxidative stress and pyrimidine pathway inhibition is known to increase ammonia. These findings should be confirmed in larger studies and the clinical implications of these broad effects should be explored.

Changes in metabolites by study group
MetabolitePathwayAllopurinol (n=16)Placebo (n=15)
BaselineEnd of study
DihydroxyphenylalanineTyrosine metabolism1033(267)787(310)*1069(256)1117(312)
Glucose-6-phosphatePP pathway1214(896)1906(1274)#1328(897)892(510)
Ribose-5-phosphatePP pathway, purine metabolism1132(265)632(187)*1147(150)1200(200)
N-acetyltyrosineTyrosine metabolism1258(312)497(183)*1279(355)1343(400)
OrotatePyrimidine metabolism251(82)4126(4655)*258(128)255(184)
XanthinePurine and caffeine metabolism466(168)3171(2049)*511(232)506(283)
Linoleic acidLenoleic acid metabollism1269(651)934(355)*1106(427)1361(607)

Values are expressed as mean(SD) relative signal intensity *: P value<0.05, #: P value=0.09

Funding

  • NIDDK Support