Metabolic Stress Index Including Mitochondrial Biomarker for Noninvasive Diagnosis of Hepatic Steatosis

Background Mitochondrial dysfunction with oxidative stress contributes to nonalcoholic fatty liver disease (NAFLD) progression. We investigated the steatosis predictive efficacy of a novel non-invasive diagnostic panel using metabolic stress biomarkers. Methods Altogether, 343 subjects who underwent magnetic resonance imaging-based liver examinations from a population-based general cohort, and 41 patients enrolled in a biopsy-evaluated NAFLD cohort, participated in the development and validation groups, respectively. Serologic stress biomarkers were quantitated by enzyme-linked immunosorbent assay. Results Multivariate regression showed that waist-to-hip ratio, fibroblast growth factor (FGF) 21, FGF19, adiponectin-to-leptin ratio, insulin, albumin, triglyceride, total-cholesterol, and alanine-aminotransferase were independent predictors of steatosis (rank-ordered by Wald). The area under receiver-operator characteristics curve [AUROC (95%CI)] of the metabolic stress index for steatosis (MSI-S) was 0.886 (0.85‒0.92) and 0.825 (0.69‒0.96) in development and validation groups, respectively. MSI-S had higher diagnostic accuracy (78.1%‒81.1%) than other steatosis indices. MSI-S notably differentiated steatosis severities, while other indices showed less discrimination. Conclusion MSI-S, as a novel non-invasive index, based on mitochondrial stress biomarker FGF21 effectively predicted steatosis. Furthermore, MSI-S may increase the population that could be excluded from further evaluation, reducing unnecessary invasive investigations more effectively than other indices.

Increased plasma and milk short-chain acylcarnitines concentrations reflect systemic LPS response in mid-lactation dairy cows

Lipopolysaccharides (LPS) challenge the metabolic integrity of high yielding dairy cows, activating the immune system and altering energy metabolism. Fatty acid oxidation, a major energy gaining pathway, can be improved by supplementary carnitine, facilitating the transport of fatty acids into mitochondria. The metabolic response to LPS challenge could alter both the plasma and the milk metabolome. Plasma and milk samples collected from cows treated with (n=27) or without (n=27) dietary carnitine, before and after intravenous administration of LPS, were subjected to a targeted metabolomics analysis. Multivariate statistical analyses revealed that both plasma and milk metabolome changed in response to the LPS challenge in both the carnitine supplemented as well as the control cows. Short-chain acylcarnitines (carbon chain length C2, C3, C4, and C5) and long-chain acylcarnitines (C14, C16, and C18) had the highest performance to indicate LPS response when testing the predictive power of single metabolites using receiver-operator characteristics (ROC) analysis. The maximum area under a ROC curve (AUC) was 0.93. Biogenic amines, including sarcosine, and amino acids such as glutamine and isoleucine had AUC > 0.80 indicating metabolic changes due to LPS challenge. In summary, the metabolites involved in the LPS response were acylcarnitines C2 and C5, sarcosine, glutamine, and isoleucine in plasma, and acylcarnitines C4 and C5 in milk. The interrelationship of plasma and milk metabolome included correlation of acylcarnitines C2, C4, and C5 between plasma and milk.

Presepsin level as risk factor for mortality in premature infants with neonatal sepsis

Background Prematurity is a risk factor of neonatal sepsis and its associated morbidities and mortality. Most deaths in neonatal sepsis occur within the first seven days. Presepsin has been reported as one of the earliest biomarkers for predicting mortality. Objective To determine the association between presepsin levels and mortality risk, as well as the optimal presepsin cut-off point for predicting mortality, in premature infants with neonatal sepsis .Method This was an observational prospective cohort study on 62 preterm infants born at 28 to <37 weeks’ gestation. We recorded clinical and laboratory characteristics, performed blood culture, and measured presepsin levels at initial diagnosis of sepsis. Subjects were followed for seven days and their outcome (death or survival) recorded. We evaluated the association between clinical and laboratory characteristics, including presepsin levels, with sepsis outcome. We also constructed a receiver-operator characteristics curve to determine the optimal cut-off point of presepsin as a predictor of sepsis mortality. Results Only blood culture results (P=0.006) and presepsin level (P<0.001) were significantly associated with sepsis outcome on the seventh day. The optimal presepsin cut-off value for predicting mortality was 1057 ng/mL, with an area under curve of 80.4%, sensitivity of 60.71%, and specificity of 88.24%. A presepsin level of >1057 ng/mL was associated with increased mortality [RR 3.02; 95%CI 68.3 to 89.4; P<0.001]. Conclusion In preterm infants with neonatal sepsis, an elevated presepsin level at diagnosis is a significant risk factor for mortality within seven days. Presepsin can be used as an early biomarker of sepsis outcome.

Plasma gradient of soluble urokinase-type plasminogen activator receptor is linked to pathogenic plasma proteome and immune transcriptome and stratifies outcomes in severe COVID-19

Disease caused by SARS-CoV-2 coronavirus (COVID-19) has resulted in significant morbidity and mortality world-wide. A systemic hyper-inflammation characterizes the severe COVID-19 disease often associated with acute respiratory distress syndrome (ARDS). Blood biomarkers capable of risk stratification are of great importance in effective triage and critical care of severe COVID-19 patients. In the present study we report higher plasma abundance of soluble urokinase-type plasminogen activator receptor (sUPAR), expressed by an abnormally expanded circulating myeloid cell population, in severe COVID-19 patients with ARDS. Plasma sUPAR level was found to be linked to a characteristic proteomic signature of plasma, linked to coagulation disorders and complement activation. Receiver operator characteristics curve analysis identified a cut-off value of sUPAR at 1996.809 pg/ml that could predict survival in our cohort (Odds ratio: 2.9286, 95% confidence interval 1.0427-8.2257). Lower sUPAR level than this threshold concentration was associated with a differential expression of the immune transcriptome as well as favourable clinical outcomes, both in terms of survival benefit (Hazard ratio: 0.3615, 95% confidence interval 0.1433-0.912) and faster disease remission in our patient cohort. Thus we identified sUPAR as a key pathogenic circulating molecule linking systemic hyperinflammation to the hypercoagulable state and stratifying clinical outcomes in severe COVID-19 patients with ARDS.

Value of galectin-3 in the diagnosis of acute coronary syndrome and the assessment of coronary artery lesions

Aim: To investigate the value of galectin-3 in the diagnosis of acute coronary syndrome (ACS) and the assessment of coronary artery lesions. Methodology: This study recruited 157 patients with coronary artery disease where 102 and 55 of them were subsequently grouped as ACS and non-ACS, respectively. The severity of coronary artery lesions was evaluated by Gensini score and the number of vessels involved. Results: Receiver operator characteristics analyses of galectin-3 yielded an area under the curve of 0.679 in diagnosing ACS. The galectin-3 levels were correlated with Gensini score and the number of vessels involved. Conclusion: Our study demonstrated that galectin-3 is an effective auxiliary biomarker for the diagnosis of ACS and assessment of coronary artery lesions.

Urinary microRNAs as non-invasive biomarkers for toxic acute kidney injury in humans

MicroRNAs in biofluids are potential biomarkers for detecting kidney and other organ injuries. We profiled microRNAs in urine samples from patients with Russell’s viper envenoming or acute self-poisoning following paraquat, glyphosate, or oxalic acid [with and without acute kidney injury (AKI)] and on healthy controls. Discovery analysis profiled for 754 microRNAs using TaqMan OpenArray qPCR with three patients per group (12 samples in each toxic agent). From these, 53 microRNAs were selected and validated in a larger cohort of patients (Russell’s viper envenoming = 53, paraquat = 51, glyphosate = 51, oxalic acid = 40) and 27 healthy controls. Urinary microRNAs had significantly higher expression in patients poisoned/envenomed by different nephrotoxic agents in both discovery and validation cohorts. Seven microRNAs discriminated severe AKI patients from no AKI for all four nephrotoxic agents. Four microRNAs (miR-30a-3p, miR-30a-5p, miR-92a, and miR-204) had > 17 fold change (p < 0.0001) and receiver operator characteristics area-under-curve (ROC-AUC) > 0.72. Pathway analysis of target mRNAs of these differentially expressed microRNAs showed association with the regulation of different nephrotoxic signaling pathways. In conclusion, human urinary microRNAs could identify toxic AKI early after acute injury. These urinary microRNAs have potential clinical application as early non-invasive diagnostic AKI biomarkers.

Early prediction of blood stream infection in a prospectively collected cohort

Background Blood stream infection (BSI) and sepsis are serious clinical conditions and identification of the disease-causing pathogen is important for patient management. The RISE (Rapid Identification of SEpsis) study was carried out to collect a cohort allowing high-quality studies on different aspects of BSI and sepsis. The aim of this study was to identify patients at high risk for BSI who might benefit most from new, faster, etiological testing using neutrophil to lymphocyte count ratio (NLCR) and Shapiro score. Methods Adult patients (≥ 18 years) presenting at the emergency department (ED) with suspected BSI were prospectively included between 2014 and 2016 at Örebro University Hospital. Besides extra blood sampling, all study patients were treated according to ED routines. Electronic patient charts were retrospectively reviewed. A modified Shapiro score (MSS) and NLCR were extracted and compiled. Continuous score variables were analysed with area under receiver operator characteristics curves (AUC) to evaluate the ability of BSI prediction. Results The final cohort consisted of 484 patients where 84 (17%) had positive blood culture judged clinically significant. At optimal cut-offs, MSS (≥3 points) and NLCR (> 12) showed equal ability to predict BSI in the whole cohort (AUC 0.71/0.74; sensitivity 69%/67%; specificity 64%/68% respectively) and in a subgroup of 155 patients fulfilling Sepsis-3 criteria (AUC 0.71/0.66; sensitivity 81%/65%; specificity 46%/57% respectively). In BSI cases only predicted by NLCR> 12 the abundance of Gram-negative to Gram-positive pathogens (n = 13 to n = 4) differed significantly from those only predicted by MSS ≥3 p (n = 7 to n = 12 respectively) (p < 0.05). Conclusions MSS and NLCR predicted BSI in the RISE cohort with similar cut-offs as shown in previous studies. Combining the MSS and NLCR did not increase the predictive performance. Differences in BSI prediction between MSS and NLCR regarding etiology need further evaluation.

High-throughput detection of SARS-CoV-2

Population scale sweeps of viral pathogens, such as SARS-CoV-2, require high intensity testing for effective management. This protocol describes the “Systematic Parallel Analysis of RNA coupled to Sequencing for Covid-19 screening” (C19-SPAR-Seq), a multiplexed, scalable, readily automated platform for SARS-CoV-2 detection that is capable of analyzing tens of thousands of patient samples in a single run. To address strict requirements for control of assay parameters and output demanded by clinical diagnostics, we employed a control-based Precision-Recall and Receiver Operator Characteristics (coPR) analysis to assign run-specific quality control metrics. C19-SPAR-Seq coupled to coPR on a trial cohort of several hundred patients performed with a specificity of 100% and sensitivity of 91% on samples with low viral loads, and a sensitivity of > 95% on high viral loads associated with disease onset and peak transmissibility. This study establishes the feasibility of employing C19-SPAR-Seq for the large-scale monitoring of SARS-CoV-2 and other pathogens.

Shining the Light on the MotionWatch8 Light Sensor for Sleep and Aging Research: What Can We Measure and What Are We Missing?

Background: Poor sleep is common among older adults at risk for dementia and may be due to circadian dysregulation. Light is the most important external stimulus to the circadian clock and bright light therapy (BLT) has been used for >20 years to help realign circadian rhythms. However, the ability of field methods (e.g., actigraphy) to accurately determine the type and intensity of light is unknown. Objective: We examined the ability of the MotionWatch8 (MW8) light sensor to determine: 1) light versus dark, 2) electrical light versus daylight, and 3) device-based BLT versus light which was not BLT. Methods: We tested the MW8 under 17 daily light scenarios. Light exposure data was collected for 5 minutes during each scenario. Concurrently, we measured light exposure using the LT40 Light Meter, a sensitive measure of light intensity. We then developed individual cut-points using receiver operator characteristics analyses to determine optimal MW8 cut-points for 1) light versus dark; 2) electrical light versus daylight; and 3) light from a BLT box versus light which was not BLT. Bland-Altman plots tested the precision of the MW8 compared to the LT40. Results: The MW8 accurately discriminated light versus dark (>32 lux), and electrical light versus daylight (<323 lux). However, the MW8 had poor accuracy for 1) discriminating BLT from light which was not BLT; and 2) low precision compared to the LT40. Conclusion: The MW8 appears to be able to discern light versus dark and electrical light versus daylight; however, there remains a need for accurate field methods capable of measuring light exposure.

Cell-Free DNA to Detect Heart Allograft Acute Rejection

Background: After heart transplantation, Endomyocardial biopsy (EMBx) is used to monitor for acute rejection (AR). Unfortunately, EMBx is invasive and its conventional histologic interpretation has limitations. This is a validation study to assesses the performance of a sensitive blood biomarker— percent donor-derived cell-free DNA (%ddcfDNA) — for detection of AR in cardiac transplant recipients. Methods: This multicenter, prospective cohort study recruited heart transplant subjects and collected plasma samples contemporaneously with EMBx for %ddcfDNA measurement by shotgun sequencing. Histopathology data was collected to define AR, its two phenotypes (acute cellular rejection, ACR, and antibody-mediated rejection, AMR) and controls without rejection. The primary analysis was to compare %ddcfDNA levels (median and interquartile range - IQR) for AR, AMR and ACR to controls and to determine %ddcfDNA test characteristics using receiver-operator characteristics analysis. Results: The study included 171 subjects with median post-transplant follow-up of 17.7 months (IQR: 12.1-23.6), with 1,392 EMBx, and 1,834 ddcfDNA measures available for analysis. Median %ddcfDNA levels decayed after surgery to 0.13% (0.03-0.21) by 28 days. %ddcfDNA increased again with AR compared to controls values (0.38, IQR=0.31-0.83, vs. 0.03, IQR=0.01-0.14 p<0.001). The rise was detected 0.5 and 3.2 months before histopathological diagnosis of ACR and AMR. The area-under-the- receiver-operator characteristics curve (AUROC) for AR was 0.92. A 0.25 %ddcfDNA threshold had a negative predictive value (NPV) for AR of 99% and would have safely eliminated 81% of EMBx. %ddcfDNA showed distinctive characteristics comparing AMR to ACR, included 5-fold higher levels (pAMR ≥2 1.68, IQR=0.49-2.79 vs. ACR grade ≥2R 0.34, IQR=0.28-0.72), higher AUROC (0.95 vs. 0.85), higher guanosine-cytosine content, and higher percentage of short ddcfDNA fragments. Conclusions: %ddcfDNA detected AR with a high AUROC and NPV. Monitoring with ddcfDNA, demonstrated excellent performance characteristics for both ACR and AMR and led to earlier detection than the EMBx-based monitoring. This study supports the use of %ddcfDNA to monitor for AR in heart transplant patients and paves the way for a clinical utility study. Clinical Trial Registration: URL: http://clinicaltrials.gov Unique Identifier: NCT02423070