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Background There is a compelling unmet medical need for biomarker-based models to risk-stratify patients with acute respiratory distress syndrome. Effective stratification would optimize participant selection for clinical trial enrollment by focusing on those most likely to benefit from new interventions. Our objective was to develop a prognostic, biomarker-based model for predicting mortality in adult patients with acute respiratory distress syndrome. Methods This is a secondary analysis using a cohort of 252 mechanically ventilated subjects with the diagnosis of acute respiratory distress syndrome. Survival to day 7 with both day 0 (first day of presentation) and day 7 sample availability was required. Blood was collected for biomarker measurements at first presentation to the intensive care unit and on the seventh day. Biomarkers included cytokine-chemokines, dual-functioning cytozymes, and vascular injury markers. Logistic regression, latent class analysis, and classification and regression tree analysis were used to identify the plasma biomarkers most predictive of 28-day ARDS mortality. Results From eight biologically relevant biomarker candidates, six demonstrated an enhanced capacity to predict mortality at day 0. Latent-class analysis identified two biomarker-based phenotypes. Phenotype A exhibited significantly higher plasma levels of angiopoietin-2, macrophage migration inhibitory factor, interleukin-8, interleukin-1 receptor antagonist, interleukin-6, and extracellular nicotinamide phosphoribosyltransferase (eNAMPT) compared to phenotype B. Mortality at 28 days was significantly higher for phenotype A compared to phenotype B (32% vs 19%, p  = 0.04). Conclusions An adult biomarker-based risk model reliably identifies ARDS subjects at risk of death within 28 days of hospitalization.

Macrophage migration inhibitory factor (MIF) is a pivotal regulator of the immune response. Neutralization or genetic deletion of MIF does not completely abrogate activation responses, however, and deletion of the MIF receptor, CD74, produces a more pronounced phenotype than MIF deficiency. We hypothesized that these observations may be explained by a second MIF-like ligand, and we considered a probable candidate to be the protein encoded by the homologous, D-dopachrome tautomerase (D-DT) gene. We show that recombinant D-DT protein binds CD74 with high affinity, leading to activation of ERK1/2 MAP kinase and downstream proinflammatory pathways. Circulating D-DT levels correlate with disease severity in sepsis or malignancy, and the specific immunoneutralization of D-DT protects mice from lethal endotoxemia by reducing the expression of downstream effector cytokines. These data indicate that D-DT is a MIF-like cytokine with an overlapping spectrum of activities that are important for our understanding of MIF-dependent physiology and pathology.

Chronic kidney disease (CKD) is a major public health problem. The classification of CKD by KDOQI and KDIGO and the routine eGFR reporting have resulted in increased identification of CKD. It is important to be able to identify those at high risk of CKD progression and its associated cardiovascular disease (CVD). Proteinuria is the most sensitive marker of CKD progression in clinical practice, especially when combined with eGFR, but these have limitations. Hence, early, more sensitive, biomarkers are required. Recently, promising biomarkers have been identified for CKD progression and its associated CVD morbidity and mortality. These may be more sensitive biomarkers of kidney function, the underlying pathophysiological processes, and/or cardiovascular risk. Although there are some common pathways to CKD progression, there are many primary causes, each with its own specific pathophysiological mechanism. Hence, a panel measuring multiple biomarkers including disease-specific biomarkers may be required. Large, longitudinal observational studies are needed to validate candidate biomarkers in a broad range of populations prior to implementation into routine CKD management. Recent renal biomarkers discovered include neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, and liver-type fatty acid-binding protein. Although none are ready for use in clinical practice, it is timely to review the role of such biomarkers in predicting CKD progression and/or CVD risk in CKD.

Background:Increased levels of inflammation have been associated with a poorer response to antidepressants in several clinical samples, but these findings have had been limited by low reproducibility of biomarker assays across laboratories, difficulty in predicting response probability on an individual basis, and unclear molecular mechanisms.Methods: Here we measured absolute mRNA values (a reliable quantitation of number of molecules) of Macrophage Migration Inhibitory Factor and interleukin-1β in a previously published sample from a randomized controlled trial comparing escitalopram vs nortriptyline (GENDEP) as well as in an independent, naturalistic replication sample. We then used linear discriminant analysis to calculate mRNA values cutoffs that best discriminated between responders and nonresponders after 12 weeks of antidepressants. As Macrophage Migration Inhibitory Factor and interleukin-1β might be involved in different pathways, we constructed a protein-protein interaction network by the Search Tool for the Retrieval of Interacting Genes/Proteins. Results:We identified cutoff values for the absolute mRNA measures that accurately predicted response probability on an individual basis, with positive predictive values and specificity for nonresponders of 100% in both samples (negative predictive value=82% to 85%, sensitivity=52% to 61%). Using network analysis, we identified different clusters of targets for these 2 cytokines, with Macrophage Migration Inhibitory Factor interacting predominantly with pathways involved in neurogenesis, neuroplasticity, and cell proliferation, and interleukin-1β interacting predominantly with pathways involved in the inflammasome complex, oxidative stress, and neurodegeneration.Conclusion:We believe that these data provide a clinically suitable approach to the personalization of antidepressant therapy: patients who have absolute mRNA values above the suggested cutoffs could be directed toward earlier access to more assertive antidepressant strategies, including the addition of other antidepressants or antiinflammatory drugs.

Macrophage migration inhibitory factor (MIF) is pleiotropic cytokine that has multiple effects in many inflammatory and immune diseases. This study reveals a potential role of MIF in acute kidney injury (AKI) in patients and in kidney ischemic reperfusion injury (IRI) mouse model in MIF wild‐type (WT) and MIF knockout (KO) mice. Clinically, plasma and urinary MIF levels were largely elevated at the onset of AKI, declined to normal levels when AKI was resolved and correlated tightly with serum creatinine independent of disease causes. Experimentally, MIF levels in plasma and urine were rapidly elevated after IRI‐AKI and associated with the elevation of serum creatinine and the severity of tubular necrosis, which were suppressed in MIF KO mice. It was possible that MIF may mediate AKI via CD74/TLR4‐NF‐κB signalling as mice lacking MIF were protected from AKI by largely suppressing CD74/TLR‐4‐NF‐κB associated renal inflammation, including the expression of MCP‐1, TNF‐α, IL‐1β, IL‐6, iNOS, CXCL15(IL‐8 in human) and infiltration of macrophages, neutrophil, and T cells. In conclusion, our study suggests that MIF may be pathogenic in AKI and levels of plasma and urinary MIF may correlate with the progression and regression of AKI.

Purpose Macrophage migration inhibitory factor (MIF) is an integral cytokine for the modulation of both innate and adaptive immunity and is involved in the pathogenesis of various cancers. However, conflicting findings on the relationship between MIF polymorphisms and breast cancer (BC) have been reported in earlier research. We investigated the clinical value of serum MIF levels and the association between MIF rs1049829 and rs755622 variants with their serum levels and propensity to develop BC. Methods A total of 133 treatment-naïve Egyptian BC females and 126 apparently healthy controls were matriculated in this case–control study. The serum MIF protein levels were quantified by ELISA, whereas the genotyping was executed utilizing the TaqMan® allelic discrimination assay. Results A significant increase in the serum MIF level in BC cases was observed in comparison to control subjects ( P  < 0.0001), with a diagnostic potential to discriminate BC with 92.5% sensitivity and 73.7% specificity at a cut-off value > 9.47 ng/mL. Besides, a significant difference in serum MIF level was observed in BC cases with progesterone receptor (PR) negativity compared to those with PR positivity ( P  = 0.046). Moreover, a significant association was depicted between the rs1049829 variant of MIF gene and the protective effect against BC meanwhile the rs755622 variant demonstrated no significant link with BC risk. Conclusions This study revealed that serum MIF levels may be regarded as a promising serum tumor marker for BC. Also, the rs1049829 variant of the MIF gene is considered a protective candidate against BC. Graphical Abstract

The hunt for useful sepsis biomarkers is ongoing. Macrophage migration inhibitory factor (MIF) was implicated as a biomarker in sepsis, but its diagnostic and prognostic value has remained unclear in human studies. Here, we aimed at clarifying the value of MIF as a sepsis biomarker with the meta-analysis of clinical trials. PubMed, EMBASE, and Cochrane Central Register of Controlled Trials databases were searched until December 2019. From the included studies, blood MIF levels and indicators of disease severity were extracted in septic and control patient groups. Twenty-one eligible studies were identified, including data from 1876 subjects (of which 1206 had sepsis). In the septic patients, blood MIF levels were significantly higher than in healthy controls with a standardized mean difference (SMD) of 1.47 (95% confidence interval, CI: 0.96–1.97; p  < 0.001) and also higher than in patient groups with nonseptic systemic inflammation (SMD = 0.94; CI: 0.51–1.38; p  < 0.001). Markedly greater elevation in blood MIF level was found in the more severe forms of sepsis and in nonsurvivors than in less severe forms and in survivors with SMDs of 0.84 (CI: 0.45–1.24) and 0.75 (CI: 0.40–1.11), respectively ( p  < 0.001 for both). In conclusion, blood MIF level is more elevated in systemic inflammation caused by infection (i.e., sepsis) compared to noninfectious causes. In more severe forms of sepsis, including fatal outcome, MIF levels are higher than in less severe forms. These results suggest that MIF can be a valuable diagnostic and prognostic biomarker in sepsis given that well-designed clinical trials validate our findings.

Endometriosis is the extrauterine engraftment of endometrium-like tissue, causing chronic pain. Complex sensory–vascular–immune interactions, including growth factors, cytokines, and neuropeptides, are implicated in its pathophysiology, but the mechanisms remain unknown. Here, epidermal growth factor (EGF), vascular endothelial growth factor, interleukins (IL-1β, IL-6, IL-8), macrophage migration inhibitory factor (MIF), calcitonin gene-related peptide, and somatostatin were measured in the serum of endometriosis patients with different disease severities, menstruation cycle- and pharmacotherapy-related hormonal status compared with controls. Mediator levels in deep-infiltrating rectosigmoid nodules were also compared with those in non-endometriotic colon tissues. Pain was assessed by the visual analogue scale. Serum EGF was significantly lower in mild endometriosis and in the secretory phase. MIF and IL-6 were higher in stage I–IV endometriosis, with MIF also higher in the secretory phase and in patients not receiving oral contraceptives. Somatostatin was lower in mild endometriosis than that in healthy individuals and the severe endometriosis group. No tissue-level differences were found. A strong positive correlation between serum EGF and somatostatin levels and dysmenorrhea and dysuria was detected in mild cases. It is concluded that certain serum alterations may be related to severity- and hormone status-dependent endometriosis mechanisms, but their diagnostic/prognostic value seems to be limited due to variability and lack of specificity.

Approximately 50% of allogeneic hematopoietic stem cell transplantation (HSCT) Q6 recipients develop graft versus host disease (GVHD). Glucocorticoids (GC) are the first line of treatment for both acute and chronic GVHD. Failure to respond to GC [steroid-refractory (SR)] encompasses a very poor outcome with high mortality. Macrophage migration inhibitory factor (MIF) is released during transplantation and triggers enhanced and prolonged immune reactions. Persistently elevated levels of MIF have been shown to override both endogenous and exogenous antiinflammatory effects of GC. Two functional polymorphisms in the MIF gene, a -794 CATT5-8 microsatellite repeat and a -173 G/C single-nucleotide polymorphism, were analyzed in 86 patients who underwent allogeneic HSCT. We also measured MIF serum levels at different time points before and after HSCT. Frequencies of MIF high-expression -794 CATT7 containing genotypes were increased in patients with grade III-IV acute GVHD (aGVHD) (36.8%) compared with patients that did not develop aGVHD (5.8%) and patients with grade II aGVHD (0%), (p=0.0019, 0.0080 respectively). We also demonstrated that the frequencies of the MIF-794 CATT7 and -173 C containing genotypes, were significantly associated with steroid-refractory aGVHD (46.6%, 60% respectively) compared to steroid-responsive aGVHD (0%, 5.3% respectively), (p=0.0011, P=0.0007 respectively). We further showed that MIF circulating levels preceded onset of severe aGVHD. Our findings suggest that genetically controlled high expression MIF genotypes are associated with aGVHD worsening and could serve as a biomarker enhancing identification and treatment of steroid-refractory disease.

Objective: To compare the concentrations of cytokines belonging to Th17 axis (interleukin (IL)-17 and IL-23) and Th1 axis (IL-12 and interferon (IFN)-γ) in obese and lean women, and to investigate their relationships with the proinflammatory adipokine leptin, proinflammatory cytokine macrophage migration inhibitory factor (MIF) and anthropometric and metabolic parameters of obesity. Design: Cross-sectional study. Subjects: Twenty-six obese women (age 20-52 years, body mass index (BMI): 30-48 kg/m2) and 20 healthy lean women (age 23-46 years, BMI: 18-25 kg/m2). Measurements: Plasma levels of cytokines and leptin, BMI, waist circumference (WC) and insulin resistance index HOMA (homeostatic model assessment). Results: Blood concentrations of IL-17, IL-23, MIF and leptin, but not IL-12 or IFN-γ, were higher in obese compared with lean women (P=0.002, 0.046, 0.006 and 0.002, respectively). There was a positive correlation between IL-17 and IL-23 (r(s)=0.530), which was at the border of statistical significance (P=0.065). Neither IL-17 nor IL-23 correlated with leptin or MIF, and there was no association between IL-17 and IL-23 levels with BMI, WC or HOMA index. Conclusion: Interleukin-23/IL-17 axis is stimulated in obese women independently of the increase in abdominal fat, insulin resistance, leptin and MIF levels.