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Background: The role of cellular senescence in human heart failure (HF) remains unclear. The senescence-associated secretory phenotype (SASP) is composed of proteins released by senescent cells. We assessed the prognostic significance and biologic pathways associated with the SASP in human HF using a plasma proteomics approach., Methods and Results: We measured 25 known SASP proteins among 2248 PHFS (Penn HF Study) participants using the SOMAScan V4 assay. We extracted the common variance in these proteins to generate SASP factor scores and assessed the relationship between these SASP factor scores and (1) all-cause death and (2) the composite of death or HF hospital admission. We also assessed the relationship of each SASP factor to 4746 other proteins, correcting for multiple comparisons, followed by pathway analyses. Two SASP factors were identified. Both factors were associated with older age, lower estimated glomerular filtration rate, and more advanced New York Heart Association class, among other clinical variables. Both SASP factors exhibited a significant positive association with the risk of death independent of the Meta-Analysis of Global-Group in Chronic HF score and NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels. The 2 identified SASP factors were associated with 1201 and 1554 proteins, respectively, belonging to various pathways including the coagulation system, complement system, acute phase response signaling, and retinoid X receptor-related pathways that regulate cell metabolism., Conclusions: Increased SASP components are independently associated with adverse outcomes in HF. Biologic pathways associated with SASP are predominantly related to coagulation, inflammation, and cell metabolism.

Background: Kidney disease is common in heart failure with preserved ejection fraction (HFpEF). However, the biologic correlates and prognostic significance of kidney injury (KI), in HFpEF, beyond the estimated glomerular filtration rate (eGFR), are unclear., Methods and Results: Using baseline plasma samples from the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist) trial, we measured the following KI biomarkers: cystatin-C, fatty acid-binding protein-3, Beta-2 microglobulin, neutrophil gelatinase-associated lipocalin, and kidney-injury molecule-1. Factor analysis was used to extract the common variability underlying these biomarkers. We assessed the relationship between the KI-factor score and the risk of death or HF-related hospital admission in models adjusted for the Meta-Analysis Global Group in Chronic Heart Failure risk score and eGFR. We also assessed the relationship between the KI factor score and ~5000 plasma proteins, followed by pathway analysis. We validated our findings among HFpEF participants in the Penn Heart Failure Study. KI was associated with the risk of death or HF-related hospital admission independent of the Meta-Analysis Global Group in Chronic Heart Failure risk score and eGFR. Both the risk score and eGFR were no longer associated with death or HF-related hospital admission after adjusting for the KI factor score. KI was predominantly associated with proteins and biologic pathways related to complement activation, inflammation, fibrosis, and cholesterol homeostasis. KI was associated with 140 proteins, which reproduced across cohorts. Findings regarding biologic associations and the prognostic significance of KI were also reproduced in the validation cohort., Conclusions: KI is associated with adverse outcomes in HFpEF independent of baseline eGFR. Patients with HFpEF and KI exhibit a plasma proteomic signature indicative of complement activation, inflammation, fibrosis, and impaired cholesterol homeostasis.

Circulating α1-acid glycoprotein (AGP) and C-reactive protein (CRP) are commonly measured to assess inflammation, but these biomarkers fail to reveal the complex molecular biology of inflammation. We mined the maternal plasma proteome to detect proteins that covary with AGP and CRP. In 435 gravida predominantly in <12-week gestation, we correlated the relative quantification of plasma proteins assessed via a multiplexed aptamer assay (SOMAScan ® ) with AGP and CRP, quantified by immunoassay. We defined a plasma inflammasome as protein correlates meeting a false discovery rate <0.05. We examined potential pathways using principal component analysis. A total of 147 and 879 of 6431 detected plasma proteins correlated with AGP and CRP, respectively, of which 61 overlapped with both biomarkers. Positive correlates included serum amyloid, complement, interferon-induced, and immunoregulatory proteins. Negative correlates were micronutrient and lipid transporters and pregnancy-related anabolic proteins. The principal components (PCs) of AGP were dominated by negatively correlated anabolic proteins associated with gestational homeostasis, angiogenesis, and neurogenesis. The PCs of CRP were more diverse in function, reflecting cell surface and adhesion, embryogenic, and intracellular and extra-hepatic tissue leakage proteins. The plasma proteome of AGP or CRP reveals wide proteomic variation associated with early gestational inflammation, suggesting mechanisms and pathways that merit future research.

Introduction : Many acutely ill children in low- and middle-income settings have a high risk of mortality both during and after hospitalisation despite guideline-based care. Understanding the biological mechanisms underpinning mortality may suggest optimal pathways to target for interventions to further reduce mortality. The Childhood Acute Illness and Nutrition (CHAIN) Network ( www.chainnnetwork.org) Nested Case-Cohort Study (CNCC) aims to investigate biological mechanisms leading to inpatient and post-discharge mortality through an integrated multi-omic approach. Methods and analysis ; The CNCC comprises a subset of participants from the CHAIN cohort (1278/3101 hospitalised participants, including 350 children who died and 658 survivors, and 270/1140 well community children of similar age and household location) from nine sites in six countries across sub-Saharan Africa and South Asia. Systemic proteome, metabolome, lipidome, lipopolysaccharides, haemoglobin variants, toxins, pathogens, intestinal microbiome and biomarkers of enteropathy will be determined. Computational systems biology analysis will include machine learning and multivariate predictive modelling with stacked generalization approaches accounting for the different characteristics of each biological modality. This systems approach is anticipated to yield mechanistic insights, show interactions and behaviours of the components of biological entities, and help develop interventions to reduce mortality among acutely ill children. Ethics and dissemination . The CHAIN Network cohort and CNCC was approved by institutional review boards of all partner sites. Results will be published in open access, peer reviewed scientific journals and presented to academic and policy stakeholders. Data will be made publicly available, including uploading to recognised omics databases. Trial registration NCT03208725., Competing Interests: No competing interests were disclosed., (Copyright: © 2022 Njunge JM et al.)

Background: The TOPCAT trial (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist Trial) suggested clinical benefits of spironolactone treatment among patients with heart failure with preserved ejection fraction enrolled in the Americas. However, a comprehensive assessment of biologic pathways impacted by spironolactone therapy in heart failure with preserved ejection fraction has not been performed., Methods: We conducted aptamer-based proteomic analysis utilizing 5284 modified aptamers to 4928 unique proteins on plasma samples from TOPCAT participants from the Americas (n=164 subjects with paired samples at baseline and 1 year) to identify proteins and pathways impacted by spironolactone therapy in heart failure with preserved ejection fraction. Mean percentage change from baseline was calculated for each protein. Additionally, we conducted pathway analysis of proteins altered by spironolactone., Results: Spironolactone therapy was associated with proteome-wide significant changes in 7 proteins. Among these, CARD18 (caspase recruitment domain-containing protein 18), PKD2 (polycystin 2), and PSG2 (pregnancy-specific glycoprotein 2) were upregulated, whereas HGF (hepatic growth factor), PLTP (phospholipid transfer protein), IGF2R (insulin growth factor 2 receptor), and SWP70 (switch-associated protein 70) were downregulated. CARD18, a caspase-1 inhibitor, was the most upregulated protein by spironolactone (-0.5% with placebo versus +66.5% with spironolactone, P <0.0001). The top canonical pathways that were significantly associated with spironolactone were apelin signaling, stellate cell activation, glycoprotein 6 signaling, atherosclerosis signaling, liver X receptor activation, and farnesoid X receptor activation. Among the top pathways, collagens were a consistent theme that increased in patients receiving placebo but decreased in patients randomized to spironolactone., Conclusions: Proteomic analysis in the TOPCAT trial revealed proteins and pathways altered by spironolactone, including the caspase inhibitor CARD18 and multiple pathways that involved collagens. In addition to effects on fibrosis, our studies suggest potential antiapoptotic effects of spironolactone in heart failure with preserved ejection fraction, a hypothesis that merits further exploration.

Among the physiological consequences of extended spaceflight are loss of skeletal muscle and bone mass. One signaling pathway that plays an important role in maintaining muscle and bone homeostasis is that regulated by the secreted signaling proteins, myostatin (MSTN) and activin A. Here, we used both genetic and pharmacological approaches to investigate the effect of targeting MSTN/activin A signaling in mice that were sent to the International Space Station. Wild type mice lost significant muscle and bone mass during the 33 d spent in microgravity. Muscle weights of Mstn -/- mice, which are about twice those of wild type mice, were largely maintained during spaceflight. Systemic inhibition of MSTN/activin A signaling using a soluble form of the activin type IIB receptor (ACVR2B), which can bind each of these ligands, led to dramatic increases in both muscle and bone mass, with effects being comparable in ground and flight mice. Exposure to microgravity and treatment with the soluble receptor each led to alterations in numerous signaling pathways, which were reflected in changes in levels of key signaling components in the blood as well as their RNA expression levels in muscle and bone. These findings have implications for therapeutic strategies to combat the concomitant muscle and bone loss occurring in people afflicted with disuse atrophy on Earth as well as in astronauts in space, especially during prolonged missions., Competing Interests: The authors declare no competing interest., (Copyright © 2020 the Author(s). Published by PNAS.)

Objectives: Evaluate the diagnostic accuracy of the APPY1TM biomarker panel, previously described for use in pediatric patients, for identifying adult ED patients with abdominal pain who are at low risk of acute appendicitis., Methods: This study prospectively enrolled subjects >18years of age presenting to seven U.S. emergency departments with <72hours of abdominal pain suggesting possible acute appendicitis. The APPY1 panel was performed on blood samples drawn from each patient at the time of initial evaluation and results were correlated with the final diagnosis either positive or negative for acute appendicitis., Results: 431 patients were enrolled with 422 completing all aspects of the study. The APPY1 biomarker panel exhibited a sensitivity of 97.5% (95% CI, 91.3-99.3%), a negative predictive value of 98.4% (95% CI, 94.4-99.6%), a negative likelihood ratio of 0.07 (95% CI, 0.02-0.27), with a specificity of 36.5% (95% CI, 31.6-41.8%) for acute appendicitis. The panel correctly identified 125 of 342 (36.6%) patients who did not have appendicitis with 2 (2.5%) false negatives. The CT utilization rate in this population was 72.7% (307/422). Of 307 CT scans, 232 were done for patients who did not have appendicitis and 79 (34%) of these patients were correctly identified as negative with "low risk" biomarker panel results, representing 26% (79/307) of all CT scans performed., Conclusion: This biomarker panel exhibited high sensitivity and negative predictive value for acute appendicitis in this prospective adult cohort, thereby potentially reducing the dependence on CT for the evaluation of possible acute appendicitis., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: The diagnosis of pediatric acute appendicitis can be difficult. Although scoring systems such as the Pediatric Appendicitis Score (PAS) are helpful, they lack adequate sensitivity and specificity as standalone diagnostics. When used for risk stratification, they often result in large percentages of moderate-risk patients requiring further diagnostic evaluation., Methods: We applied a biomarker panel (the APPY1 Test) that has high sensitivity and negative predictive value (NPV) to patients with PAS in the moderate-risk range (3-7) and reclassified those patients with a negative result to the low-risk group. We compared the specificity, sensitivity, and NPV of the original and reclassified low-risk groups at several different PAS low-risk cutoffs., Results: The application of a negative biomarker panel to a group of patients with a moderate risk for appendicitis (PAS, 3-7) resulted in 4 times more patients (586 vs 145) being safely classified as low risk. Reclassification increased the overall specificity or the proportion of patients without appendicitis who were correctly identified as low risk, from 10.3% to 42.0%. The high NPV (97.2%) in the original group was preserved (97.6%) in the reclassified low-risk group, as was the sensitivity (original 99.1% vs reclassified 96.9%)., Conclusion: The addition of negative biomarker test results to patients with a moderate risk of appendicitis based on the PAS can safely reclassify many to a low-risk group. This may allow clinicians to provide more conservative management in children with suspected appendicitis and decrease unnecessary resource utilization., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Objectives: The objective of the study is to prospectively validate the diagnostic accuracy of a biomarker panel consisting of white blood cell, C-reactive protein, and myeloid-related protein 8/14 levels in identifying pediatric patients with abdominal pain who are at low risk for appendicitis., Methods: This prospective observational study enrolled subjects aged 2 to 20 years presenting to 29 US emergency departments with abdominal pain suggesting possible acute appendicitis. Blood samples were analyzed for white blood cell, C-reactive protein, and myeloid-related protein 8/14 levels from which the composite biomarker panel results were calculated, then correlated with the final diagnosis either positive or negative for acute appendicitis., Results: A total of 2201 patients were enrolled, with 1887 completing all aspects of the study. Prevalence of appendicitis in this cohort was 25.3%. The biomarker panel exhibited a sensitivity of 97.1% (95% confidence interval [CI], 95.1%-98.2%), negative predictive value of 97.4% (95% CI, 95.8%-98.5%), negative likelihood ratio of 0.08 (95% CI, 0.05-0.13), with a specificity of 37.9% (95% CI, 35.4%-40.4%) for appendicitis. The panel correctly identified 534 (37.8%) of 1410 patients who did not have appendicitis with 14 false negatives (2.9%). Overall, 23.7% (132/557) of computed tomographic (CT) scans were done for patients with negative biomarker panel results, including 31.2% (131/420) of patients who had CT but did not have appendicitis., Conclusion: This biomarker panel exhibited high sensitivity and negative predictive value for acute appendicitis in this large prospective cohort. This panel may be useful in identifying pediatric patients who are at low risk for appendicitis and might be followed clinically, potentially reducing the dependence on CT in the evaluation for acute appendicitis., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Objectives: To identify a biomarker panel with sufficient sensitivity and negative predictive value to identify children with abdominal pain at low risk for acute appendicitis in order to avoid unnecessary imaging., Methods: We prospectively enrolled 503 subjects aged two to 20 years with <72 hours of abdominal pain consistent with appendicitis. Blood samples from each patient were analyzed for CBC, differential, and 5 candidate proteins. Biomarker values were evaluated using principal component, recursive partitioning and logistic regression to select the combination that best discriminated between those subjects with and without disease., Results: The prevalence of acute appendicitis was 28.6%. A mathematical combination of three inflammation-related markers in a panel comprised of white blood cell count (WBC), C-reactive protein (CRP), and myeloid-related protein 8/14 complex (MRP 8/14) provided the best discrimination. This panel exhibited a sensitivity of 96.5% (95% CI, 92-99%), a negative predictive value of 96.9% (95% CI, 93-99%), a negative likelihood ratio of 0.08 (95% CI, 0.03- 0.19), and a specificity of 43.2% (95% CI, 38-48%) for acute appendicitis. Sixty of 185 CT scans (32.4%) were done for patients with negative biomarker panel results which, if deferred, would have reduced CT utilization at initial presentation by one third at the cost of missing five of 144 (3.5%) patients with appendicitis., Conclusion: This panel may be useful in identifying pediatric patients with signs and symptoms suggestive of acute appendicitis who are at low risk and can be followed clinically, potentially sparing them exposure to the ionizing radiation of CT., (© 2013.)