Renal transplantation ensures distinct advantages for patients with end-stage kidney disease. However, in some cases early complications can lead to allograft dysfunction and consequently graft loss. One of the most common early complications after kidney transplantation is delayed graft function (DGF). Unfortunately there is no effective treatment for DGF, however early diagnosis of DGF and therapeutic intervention (eg modification of immunosuppression) may improve outcome. Therefore, markers of acute kidney injury are required. Creatinine is a poor biomarker for kidney injury due principally to its inability to help diagnose early acute renal failure and complete inability to help differentiate among its various causes. Different urinary and serum proteins have been intensively investigated as possible biomarkers in this setting. There are promising candidate biomarkers with the ability to detect DGF. We focused on emerging biomarkers of DGF with NGAL is being the most studied followed by KIM-1, L-FABP, IL-18, and others. However, large randomized studies are needed to establish the value of new, promising biomarkers, in DGF diagnosis, prognosis and its cost-effectiveness.

Anemia is more prevalent in renal transplant recipients than in GFR-matched chronic kidney disease patients. Hepcidin is a small defensin-like peptide whose production by hepatocytes is modulated in response to anemia, hypoxia or inflammation. Growth differentiation factor 15 (GDF15) was recently identified as a hepcidin-suppression factor that is expressed at high levels in patients with ineffective erythropoiesis. The aim of the study was to assess GDF15 levels with relation to iron parameters in 62 stable kidney allograft recipients maintained on triple immunosuppressive therapy. Methods: Complete blood count, urea, creatinine, and iron status were assessed by standard methods. We measured GDF15, hepcidin, hemojuvelin, IL-6 and NGAL with commercially available assays. Results: Mean levels of GDF15, NGAL, hepcidin and hemojuvelin were significantly higher in kidney allograft recipients when compared to the control group (p < 0.001 for all). GDF15 was significantly higher in patients with anemia according to the WHO definition when compared to their nonanemic counterparts (p < 0.05). GDF15 levels were not dependent on the type of immunosuppressive therapy. In univariate analysis GDF15 was related to kidney function (creatinine r = 0.39, p < 0.01, eGFR by MDRD r = -0.37, p < 0.01), urea (r = 0.39, p < 0.01), uric acid (r = 0.42, p < 0.01), hepcidin (r = -0.32, p < 0.01), IL-6 (r = 0.28, p < 0.05), hemoglobin (r = -0.32, p < 0.05), and NGAL (r = -0.35, p < 0.01). GDF15 was not related to serum iron, or ferritin. In multivariate analysis, hepcidin was found to be a predictor of GDF15. In conclusion, our preliminary data may suggest possible mutual relations between GDF15 and hepcidin in patients with kidney disease and that GDF15 might be involved in the pathogenesis of anemia in kidney allograft recipients. However, the role of inflammation should be also elucidated.

The microbiota, as a complex of microorganisms in a particular ecosystem, is part of the wider term—microbiome, which is defined as the set of all genetic content in the microbial community. Imbalanced gut microbiota has a great impact on the homeostasis of the organism. Dysbiosis, as a disturbance in bacterial balance, might trigger or exacerbate the course of different pathologies. Small intestinal bacterial overgrowth (SIBO) is a disorder characterized by differences in quantity, quality, and location of the small intestine microbiota. SIBO underlies symptoms associated with functional gastrointestinal disorders (FGD) as well as may alter the presentation of chronic diseases such as heart failure, diabetes, etc. In recent years there has been growing interest in the influence of SIBO and its impact on the whole human body as well as individual systems. Therefore, we aimed to investigate the co-existence of SIBO with different medical conditions. The PubMed database was searched up to July 2022 and we found 580 original studies; inclusion and exclusion criteria let us identify 112 eligible articles, which are quoted in this paper. The present SIBO diagnostic methods could be divided into two groups—invasive, the gold standard—small intestine aspirate culture, and non-invasive, breath tests (BT). Over the years scientists have explored SIBO and its associations with other diseases. Its role has been confirmed not only in gastroenterology but also in cardiology, endocrinology, neurology, rheumatology, and nephrology. Antibiotic therapy could reduce SIBO occurrence resulting not only in the relief of FGD symptoms but also manifestations of comorbid diseases. Although more research is needed, the link between SIBO and other diseases is an important pathway for scientists to follow.

IntroductionAll living organisms have evolved sophisticated mechanisms to maintain appropriate iron levels in their cells and within their body. Recently our understanding of iron metabolism has dramatically increased. Overt labile plasma iron (LPI) represents a component of non-transferrin bound iron (NTBI) that is both redox active and chelatable, capable of permeating into organs and inducing tissue iron overload. The LPI measures the iron-specific capacity of a given sample to produce reactive oxygen species. We studied for the first time NTBI correlations with markers of iron status and inflammation in prevalent hemodialyzed patients.Material and methodsComplete blood count, urea, serum lipids, fasting glucose, creatinine, ferritin, serum iron, total iron binding capacity (TIBC) were studied by standard laboratory method. The NTBI was assessed commercially available kits from Aferrix Ltd in Tel Aviv, Israel. A test result of 0.6 units of LPI or more indicates a potential for iron-mediated production of reactive oxygen species in the sample.ResultsPatients with LPI units ≥ 0.6 had higher serum iron, erythropoiesis stimulating agents (ESA) dose, ferritin, high-sensitivity C-reactive protein (hsCRP), hepcidin and lower hemojuvelin. In hemodialyzed patients NTBI correlated with hsCRP (r = 0.37, p < 0.01), ferritin (r = 0.41, p < 0.001), IL-6 (r = 0.43, p < 0.001). In multivariate analysis predictors of NTBI were hemoglobin and alkaline phosphatase, explaining 58% of the variabilityConclusionsElevated NTBI in HD may be due to disturbed iron metabolism. Anemia and liver function might also contribute to the presence of NTBI in this population.

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