Hemodynamics and Metabolic Parameters in Normothermic Kidney Preservation Are Linked With Donor Factors, Perfusate Cells, and Cytokines

Kidney transplantation is the best renal-replacement option for most patients with end-stage renal disease. Normothermic machine preservation (NMP) of the kidney has been studied extensively during the last two decades and implemented in clinical trials. Biomarker research led to success in identifying molecules with diagnostic, predictive and therapeutic properties in chronic kidney disease. However, perfusate biomarkers and potential predictive mechanisms in NMP have not been identified yet. Twelve discarded human kidneys (n = 7 DBD, n = 5 DCD) underwent NMP for up to 24 h. Eight were perfused applying urine recirculation (URC), four with replacement of urine (UR) using Ringer's lactate. The aim of our study was to investigate biomarkers (NGAL, KIM-1, and L-FABP), cells and cytokines in the perfusate in context with donor characteristics, perfusate hemodynamics and metabolic parameters. Cold ischemia time did not correlate with any of the markers. Perfusates of DBD kidneys had a significantly lower number of leukocytes after 6 h of NMP compared to DCD. Arterial flow, pH, NGAL and L-FABP correlated with donor creatinine and eGFR. Arterial flow was higher in kidneys with lower perfusate lactate. Perfusate TNF-α was higher in kidneys with lower arterial flow. The cytokines IL-1β and GM-CSF decreased during 6 h of NMP. Kidneys with more urine output had lower perfusate KIM-1 levels. Median and 6-h values of lactate, arterial flow, pH, NGAL, KIM-1, and L-FABP correlated with each other indicating a 6-h period being applicable for kidney viability assessment. The study results demonstrate a comparable cytokine and cell profile in perfusates with URC and UR. In conclusion, clinically available perfusate and hemodynamic parameters correlate well with donor characteristics and measured biomarkers in a discarded human NMP model.

Prolonged neutrophilia is associated with worse outcomes after Esophagectomy

Neutrophilia is a potential biomarker for postoperative complications and oncologic outcomes. There is a paucity of data regarding neutrophilia in patients with esophageal adenocarcinoma. Our Institutional Database was queried for esophageal adenocarcinoma patients who underwent esophagectomy from 2006 to 2019. Complete blood counts (CBC), demographic characteristics, perioperative and oncologic outcomes were evaluated. Two groups were created based on the presence of prolonged neutrophilia (PN, >7,000 absolute neutrophils 90 days after surgery). Univariate, multivariable, and survival analysis were performed (P-value < 0.05). We identified 686 patients with complete CBC data: 565 in the no prolonged neutrophilia (NPN) and 121 in the PN groups (17.6%). The mean age was 54 versus 48 years in the NPN and PN groups (P = 0.01). There was no difference in height, weight, gender, race, tumor size, histology, pTNM, PS, ASA, salvage procedure, neoadjuvant treatment and comorbidities. On multivariable analysis, the PN group had increased transfusions (19.8% vs. 11.9%; P = 0.02), aspiration (13.2% vs. 2.5%; P = 0.002), pulmonary embolus (3.3% vs. 0.4%; P = 0.02), cardiac arrest (5% vs. 0.4%; P = 0.02) and hematologic complications (23.1% vs. 12.6%; P = 0.01). After controlling for any postoperative complication, PN had increased distant recurrence (24% vs. 12.7%; hazard ration [HR]: 2.3, 95% confidence interval [CI] 1.42–3.9; P = 0.001) and decreased OS (33.8% vs. 49.7%, HR: 1.83, 95% CI: 1.19–2.81; P = 0.006); median follow up 77 months (46–109). PN was predictive of distant recurrence and decreased overall survival. Further work investigating these neutrophil populations represents a potential area for biomarker research, immunomodulation, and may guide postoperative surveillance strategies.

Molecular Biomarkers for Adrenoleukodystrophy: An Unmet Need

X-linked adrenoleukodystrophy (ALD) is an inherited progressive neurometabolic disease caused by mutations in the ABCD1 gene and the accumulation of very long-chain fatty acids in plasma and tissues. Patients present with heterogeneous clinical manifestations which can include adrenal insufficiency, myelopathy, and/or cerebral demyelination. In the absence of a genotype-phenotype correlation, the clinical outcome of an individual cannot be predicted and currently there are no molecular markers available to quantify disease severity. Therefore, there is an unmet clinical need for sensitive biomarkers to monitor and/or predict disease progression and evaluate therapy efficacy. The increasing amount of biological sample repositories (‘biobanking’) as well as the introduction of newborn screening creates a unique opportunity for identification and evaluation of new or existing biomarkers. Here we summarize and review the many studies that have been performed to identify and improve knowledge surrounding candidate molecular biomarkers for ALD. We also highlight several shortcomings of ALD biomarker studies, which often include a limited sample size, no collection of longitudinal data, and no validation of findings in an external cohort. Nonetheless, these studies have generated a list of interesting biomarker candidates and this review aspires to direct future biomarker research.

Redrawing the Map to Novel DILI Biomarkers in Circulation: Where Are We, Where Should We Go, and How Can We Get There?

Circulating biomarkers of drug-induced liver injury (DILI) have been a focus of research in hepatology over the last decade, and several novel DILI biomarkers that hold promise for certain applications have been identified. For example, glutamate dehydrogenase holds promise as a specific biomarker of liver injury in patients with concomitant muscle damage. It may also be a specific indicator of mitochondrial damage. In addition, microRNA-122 is sensitive for early detection of liver injury in acetaminophen overdose patients. However, recent events in the field of DILI biomarker research have provided us with an opportunity to step back, consider how biomarker discovery has been done thus far, and determine how to move forward in a way that will optimize the discovery process. This is important because major challenges remain in the DILI field and related areas that could be overcome in part by new biomarkers. In this short review, we briefly describe recent progress in DILI biomarker discovery and development, identify current needs, and suggest a general approach to move forward.

Feasibility of In-home Saliva Collection of Cortisol and DHEA-S as a Biomarker of Stress in Dementia Care Dyads

Dementia afflicts affected individuals and their family caregivers worldwide. Although a non-pharmacological intervention has been recommended as a first-line approach to minimize adverse outcomes (e.g., stress) in dementia care dyads (persons with dementia [PWD] and their family caregivers), most evaluations of such interventions have relied on subjective (e.g., self- or proxy-report) rather than objective (e.g., biomarkers) measures. We aimed to explore the feasibility of saliva collection of cortisol and dehydroepiandrosterone sulfate (DHEA-S) as a non-intrusive method in dementia care dyads. Dementia care dyads living at home were recruited from the memory center in Sweden. Prior to the saliva collection, participants received a one-hour education session with a hands-on demonstration led by a trained study coordinator. Participants were instructed to collect saliva three times (two for morning, one for evening)/day, five days/week for eight consecutive weeks. Out of 32 care dyads (32 PWD and 32 family caregivers), 24 (75.0%) completed the saliva collection. On average, 105.5 (87.92%) and 105.9 (88.25%) samples were collected from PWD and family caregivers during eight weeks. There were no statistically significant differences (p>0.05) in the average number of saliva samples (i.e., total samples, morning or evening samples) between PWD and family caregivers. The findings of this pilot study showed that saliva collection of cortisol and DHEA-S as a stress measurement was feasible in dementia care dyads living at home. Robust and person-centered procedures, tailored educational materials, and effective communication with dementia care dyads should be considered in future biomarker research on stress in dementia care dyads.

The Perspectives of Early Diagnosis of Schizophrenia Through the Detection of Epigenomics-Based Biomarkers in iPSC-Derived Neurons

The lack of early diagnostic biomarkers for schizophrenia greatly limits treatment options that deliver therapeutic agents to affected cells at a timely manner. While previous schizophrenia biomarker research has identified various biological signals that are correlated with certain diseases, their reliability and practicality as an early diagnostic tool remains unclear. In this article, we discuss the use of atypical epigenetic and/or consequent transcriptional alterations (ETAs) as biomarkers of early-stage schizophrenia. Furthermore, we review the viability of discovering and applying these biomarkers through the use of cutting-edge technologies such as human induced pluripotent stem cell (iPSC)-derived neurons, brain models, and single-cell level analyses.

Urinary mRNA Signatures as Predictors of Renal Function Decline in Patients With Biopsy-Proven Diabetic Kidney Disease

The clinical manifestations of diabetic kidney disease (DKD) are more heterogeneous than those previously reported, and these observations mandate the need for the recruitment of patients with biopsy-proven DKD in biomarker research. In this study, using the public gene expression omnibus (GEO) repository, we aimed to identify urinary mRNA biomarkers that can predict histological severity and disease progression in patients with DKD in whom the diagnosis and histologic grade has been confirmed by kidney biopsy. We identified 30 DKD-specific mRNA candidates based on the analysis of the GEO datasets. Among these, there were significant alterations in the urinary levels of 17 mRNAs in patients with DKD, compared with healthy controls. Four urinary mRNAs—LYZ, C3, FKBP5, and G6PC—reflected tubulointerstitial inflammation and fibrosis in kidney biopsy and could predict rapid progression to end-stage kidney disease independently of the baseline eGFR (tertile 1 vs. tertile 3; adjusted hazard ratio of 9.68 and 95% confidence interval of 2.85–32.87, p < 0.001). In conclusion, we demonstrated that urinary mRNA signatures have a potential to indicate the pathologic status and predict adverse renal outcomes in patients with DKD.