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Menzaghi, C.* ; Marucci, A.* ; Mastroianno, M.* ; Di Ciaccia, G.* ; Armillotta, M.P.* ; Prehn, C. ; Salvemini, L.* ; Mangiacotti, D.* ; Adamski, J. ; Fontana, A.* ; De Cosmo, S.* ; Lamacchia, O.* ; Copetti, M.* ; Trischitta, V.*

Inflammation and prediction of death in type 2 diabetes. Evidence of an intertwined link with tryptophan metabolism.

J. Clin. Endocrinol. Metab. 110, e1323-e1333 (2024)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
OBJECTIVE: To study whether inflammation is associated with and helps predict mortality risk in patients with type 2 diabetes. To explore the intertwined link between inflammation and tryptophan metabolism on death risk. DESIGN: Two prospective cohorts: the aggregate Gargano Mortality Study (1,731 individuals; 872 all-cause deaths) as discovery sample, the Foggia Mortality Study (490 individuals; 256 deaths) as validation sample. Twenty-seven inflammatory markers were measured. Causal mediation analysis and in vitro studies were carried out to explore the link between inflammatory markers and the kynurenine-to-tryptophan ratio (KTR) in shaping mortality risk. RESULTS: Using multivariable stepwise Cox regression analysis, IL-4, IL-6, IL-8, IL-13, RANTES and IP-10, were independently associated with death. An inflammation score (I-score) comprising these six molecules is strongly associated with death in both the discovery and the validation cohorts HR (95%CI) = 2.13 (1.91-2.37) and 2.20 (1.79-2.72), respectively. The I-score improved discrimination and reclassification measures (all P<0.01) of two mortality prediction models based on clinical variables. The causal mediation analysis showed that 28% of the KTR effect on mortality was mediated by IP-10. Studies in cultured endothelial cells showed that 5-Methoxy-tryptophan, an anti-inflammatory metabolite derived from tryptophan, reduces the expression of IP-10, thus providing a functional basis for the observed causal mediation. CONCLUSIONS: Adding the I-score to clinical prediction models may help identify individuals who are at greater risk of death. Deeply addressing the intertwined relationship between low-grade inflammation and imbalanced tryptophan metabolism in shaping mortality risk may help discover new therapies targeting patients characterized by these abnormalities.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Ip-10 ; Death Risk ; Inflammation Risk Score ; Prediction Models ; Tryptophan Pathway; Individual Participant Data; Risk Equations; Mortality; Complications; Validation; Disease; Curve
Sprache englisch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 0021-972X
e-ISSN 1945-7197
Quellenangaben Band: 110, Heft: 5, Seiten: e1323-e1333 Artikelnummer: , Supplement: ,
Verlag Endocrine Society
Verlagsort Bethesda, Md.
Begutachtungsstatus Peer reviewed
POF Topic(s) 30505 - New Technologies for Biomedical Discoveries
30201 - Metabolic Health
Forschungsfeld(er) Enabling and Novel Technologies
Genetics and Epidemiology
PSP-Element(e) A-630710-001
G-500600-001
Förderungen EFPIA
European Union
Innovative Medicines Initiative 2 Joint Undertaking (JU)
European Health Data & Evidence Network (EHDEN) project
Ministero della Salute
Ministero dell' Universita PNRR M4C2I1.3 Heal Italia project
Ministero dell' Istruzione dell'Universita (PRIN)
Scopus ID 105003470673
PubMed ID 39193712
Erfassungsdatum 2024-09-03