Journals / Journal of Medicine and Palliative Care / 2026 / Volume: 7 Issue: 4

Inflammatory–metabolic burden and its correlates in patients with gout: a case–control study

Altuğ Güner(Bursa şehir hastanesi)0000-0001-7220-0288
Taner Dandinoğlu(BURSA ŞEHİR HASTANESİ)0000-0002-6010-7315
Pages
—
Publication Date
2026-08-15
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Prospective longitudinal studies are warranted to validate these findings and determine their clinical significance.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aims: To evaluate cumulative advanced glycation end product accumulation measured by skin autofluorescence (AGE-SAF) in patients with gout and to investigate its associations with inflammatory burden, renal function, metabolic parameters, and the C-reactive protein–albumin–lymphocyte (CALLY) index.
📊
Key Findings & Data:Methods: This cross-sectional case–control study included 45 patients with gout and 45 age- and gender-comparable healthy controls.
💡
Conclusion & Impact:Prospective longitudinal studies are warranted to validate these findings and determine their clinical significance.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Gout · advanced glycation end products · skin autofluorescence

Abstract

Aims: To evaluate cumulative advanced glycation end product accumulation measured by skin autofluorescence (AGE-SAF) in patients with gout and to investigate its associations with inflammatory burden, renal function, metabolic parameters, and the C-reactive protein–albumin–lymphocyte (CALLY) index. Methods: This cross-sectional case–control study included 45 patients with gout and 45 age- and gender-comparable healthy controls. AGE accumulation was assessed noninvasively using skin autofluorescence (AGE-SAF). Demographic, clinical, inflammatory, metabolic, and renal variables were recorded. Correlation analyses, subgroup comparisons, receiver operating characteristic (ROC) analysis, false discovery rate (FDR)-corrected analyses, and multivariable linear regression models were performed. Results: Patients with gout had significantly higher AGE-SAF levels than healthy controls (2.46±0.69 vs. 1.83±0.24 AU, p<0.001). AGE-SAF correlated positively with age, annual attack frequency, serum creatinine, and C-reactive protein levels, and inversely with estimated glomerular filtration rate (eGFR), albumin, and the CALLY index. After FDR correction, these associations remained significant. In multivariable analyses, higher CRP levels and lower eGFR independently predicted higher AGE-SAF values. Patients with impaired renal function and hypertension exhibited significantly higher AGE-SAF levels. In an exploratory ROC analysis, AGE-SAF showed discrimination between patients with gout and healthy controls (AUC 0.846, 95% CI 0.765-0.927). Conclusion: Patients with gout exhibited increased cumulative AGE accumulation measured by skin autofluorescence. The associations of AGE-SAF with inflammatory burden, renal dysfunction, and lower CALLY index values suggest that AGE-SAF may serve as a complementary biomarker reflecting cumulative inflammatory–metabolic burden in gout. Prospective longitudinal studies are warranted to validate these findings and determine their clinical significance.

🔖

Cite This Article

Güner, A., Dandinoğlu, T. (2026). Inflammatory–metabolic burden and its correlates in patients with gout: a case–control study. Journal of Medicine and Palliative Care, Volume: 7 Issue: 4. https://doi.org/10.47582/jompac.1980648

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (16)

  1. Dalbeth N, Gosling AL, Gaffo A, Abhishek A. Gout. Lancet. 2021; 397(10287):1843-1855. doi:10.1016/S0140-6736(21)00569-9
  2. Bardin T, Richette P. Definition of hyperuricemia and gouty conditions. Curr Opin Rheumatol. 2014;26(2):186-191. doi:10.1097/BOR.0000000000000028
  3. So A, Thorens B. Uric acid transport and disease. J Clin Invest. 2010; 120(6):1791-1799. doi:10.1172/JCI42344
  4. Singh VP, Bali A, Singh N, Jaggi AS. Advanced glycation end products and diabetic complications. Korean J Physiol Pharmacol. 2014;18(1):1-14. doi:10.4196/kjpp.2014.18.1.1
  5. Semba RD, Nicklett EJ, Ferrucci L. Does accumulation of advanced glycation end products contribute to the aging phenotype? J Gerontol A Biol Sci Med Sci. 2010;65A(9):963-975. doi:10.1093/gerona/glq074
  6. Ramasamy R, Yan SF, Schmidt AM. Receptor for AGE (RAGE): signaling mechanisms in the pathogenesis of diabetes and its complications. Ann N Y Acad Sci. 2011;1243:88-102. doi:10.1111/j.1749-6632.2011.06320.x
  7. Meerwaldt R, Graaff R, Oomen PHN, et al. Simple non-invasive assessment of advanced glycation endproduct accumulation. Diabetologia. 2004;47(7):1324-1330. doi:10.1007/s00125-004-1451-2
  8. Koetsier M, Lutgers HL, de Jonge C, Links TP, Smit AJ, Graaff R. Reference values of skin autofluorescence. Diabetes Technol Ther. 2010; 12(5):399-403. doi:10.1089/dia.2009.0113
  9. Gerrits EG, Lutgers HL, Kleefstra N, et al. Skin autofluorescence: a tool to identify type 2 diabetic patients at risk for developing microvascular complications. Diabetes Care. 2008;31(3):517-521. doi:10.2337/dc07-1755
  10. Hartog JW, de Vries AP, Bakker SJ, et al. Risk factors for chronic transplant dysfunction and cardiovascular disease are related to accumulation of advanced glycation end-products in renal transplant recipients. Nephrol Dial Transplant. 2006;21(8):2263-2269. doi:10.1093/ndt/gfl132
  11. de Groot L, Hinkema H, Westra J, et al. Advanced glycation end products are increased in rheumatoid arthritis patients with controlled disease. Arthritis Res Ther. 2011;13(6):R205. doi:10.1186/ar3538
  12. Güner A, Dandinoğlu T. Tissue advanced glycation end product accumulation and its association with clinical and laboratory features, inflammatory indices, and comorbidities in rheumatoid arthritis and ankylosing spondylitis: a case-control study. Int J Mol Sci. 2026;27(9): 4027. doi:10.3390/ijms27094027
  13. Iida H, Tani M, Komeda K, et al. Superiority of CRP-albumin-lymphocyte index (CALLY index) as a non-invasive prognostic biomarker after hepatectomy for hepatocellular carcinoma. HPB (Oxford). 2022;24(1):101-115. doi:10.1016/j.hpb.2021.06.414
  14. Bircan AÖ, Acemoğlu ŞŞZ, Türk İ, Özer HTE. Immunonutritional biomarkers in primary Sjögren syndrome disease activity: CALLY index and HALP score. Arch Rheumatol. 2025;40(3):376-384. doi:10.5152/ArchRheumatol.2025.25012
  15. Güner A, Dandinoğlu T, Güner ST, Aykurt Karlıbel İ. The CALLY index may reflect systemic inflammatory burden rather than patient-reported disease activity in ankylosing spondylitis: a medical record-based cross-sectional study. J Clin Med. 2026;15(9):3531. doi:10.3390/jcm15093531
  16. Güner A. Attack-related anticipatory anxiety symptoms in familial Mediterranean fever: an exploratory cross-sectional study. Healthcare (Basel). 2026;14:1635. doi:10.3390/healthcare14121635