Lack of Association Between Elevated Urinary Levels of Interleukin-10 and Interferon Gamma With the Presence of Inflammation in Kidney Transplant Recipients

García-Covarrubias, Luis; Ventura, Emily E.; Soto, Virgilia; González, Enrique; García, Ángel Sánchez; Aguilar, José Luis Fernández; Torres, José Manuel; Hinojosa, H.; Fragoso, P.; Santos, Jennifer De Los; Ortuño, D.; Cristóbal, P. San; Diliz, H

doi:10.1016/j.transproceed.2016.02.016

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…In detail, 12/38 (32%) studies either addressed CXCL9 and CXCL10 alone, in combination, or in the context of particular scores or formulas [ 16 , 17 , 24 , 26 , 34 , 35 , 36 , 44 , 47 , 50 , 51 , 52 ]. Other directly targeted cytokines and interleukins were chemokine ligand 2 (CCL2), also known as monocyte chemoattractant protein 1 [ 22 , 31 , 43 ], CXCL13 [ 29 ], interleukin 10 (IL10) with interferon gamma (IFNγ) [ 46 ] and tumor necrosis factor alpha (TNFα) [ 32 ].…”

Section: Resultsmentioning

confidence: 99%

“…Donor-derived cfDNA was not significantly different between groups (p = 0.95) Seeman [40] TCMR (2) + ABMR (2) DYS-B (11) NGAL was not significantly different between groups (p = 0.48) Garcìa-C. [46] AR (9) ALL-B (fibrosis, 31; other, 10) IL10 and IFNγ were not significantly different between groups (p = 0.95, p = 0.1) Ho [47] TCMR (17; subclinical, 17) ALL-B (normal, 22) MMP7 and CXCL10 were significantly elevated in subclinical (p = 0.01, p < 0.0001) and clinical (p < 0.001) TCMR Sigdel [53] AR 10…”

Section: Ref Outcome (N) Control Group (N) Biomarkers Thresholds Anmentioning

confidence: 97%

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Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review

Guzzi

Cirillo

Buti

et al. 2020

IJMS

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Noninvasive tools for diagnosis or prediction of acute kidney allograft rejection have been extensively investigated in recent years. Biochemical and molecular analyses of blood and urine provide a liquid biopsy that could offer new possibilities for rejection prevention, monitoring, and therefore, treatment. Nevertheless, these tools are not yet available for routine use in clinical practice. In this systematic review, MEDLINE was searched for articles assessing urinary biomarkers for diagnosis or prediction of kidney allograft acute rejection published in the last five years (from 1 January 2015 to 31 May 2020). This review follows the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Articles providing targeted or unbiased urine sample analysis for the diagnosis or prediction of both acute cellular and antibody-mediated kidney allograft rejection were included, analyzed, and graded for methodological quality with a particular focus on study design and diagnostic test accuracy measures. Urinary C-X-C motif chemokine ligands were the most promising and frequently studied biomarkers. The combination of precise diagnostic reference in training sets with accurate validation in real-life cohorts provided the most relevant results and exciting groundwork for future studies.

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Section: Resultsmentioning

confidence: 99%

Section: Ref Outcome (N) Control Group (N) Biomarkers Thresholds Anmentioning

confidence: 97%

Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review

Guzzi

Cirillo

Buti

et al. 2020

IJMS

View full text Add to dashboard Cite

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Relationship of Transforming Growth Factor-βl and Arginase-1 Levels with Long-term Survival after Kidney Transplantation

Guo

Yang

et al. 2018

CURR MED SCI

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In this study, we compared the serum levels of transforming growth factor-pi (TGF-β1), interleukin-10 (IL-10), and arginase-1 in long-term survival kidney transplant recipients (LTSKTRs) with those in short-term survival kidney transplant recipients (STSKTRs). We then evaluated the relationship between these levels and graft function. Blood samples were collected from 50 adult LTSKTRs and 20 STSKTRs (graft survival approximately 1-3 years post-transplantation). All patients had stable kidney function. The samples were collected at our institution during the patients' follow-up examinations between March 2017 and September 2017. The plasma levels of TGF-β1, IL-10, and arginase-1 were analyzed using enzyme-linked immunosorbent assays (ELIS A). The levels of TGF-β1 and arginase-1 were significantly higher in the LTSKTRs than in the STSKTRs. The time elapsed since transplantation was positively correlated with the levels of TGF-β1 and arginase-1 in the LTSKTRs. The estimated glomerular filtration rate was positively correlated with the TGF-β1 level, and the serum creatinine level was negatively correlated with the TGF-β1 level. Higher serum levels of TGF-pi and arginase-1 were found in LTSKTRs than in STSKTRs, and we found that TGF-β1 was positively correlated with long-term graft survival and function. Additionally, TGF-β1 and arginase-1 levels were positively correlated with the time elapsed since transplantation. On the basis of these findings, TGF-β1 and arginase-1 may play important roles in determining long-term graft survival. Thus, we propose that TGF-pi and arginase-1 may potentially be used as predictive markers for evaluating long-term graft survival.

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Lack of Association Between Elevated Urinary Levels of Interleukin-10 and Interferon Gamma With the Presence of Inflammation in Kidney Transplant Recipients

Cited by 2 publications

References 21 publications

Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review

Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review

Relationship of Transforming Growth Factor-βl and Arginase-1 Levels with Long-term Survival after Kidney Transplantation

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