23 research outputs found

    Continuous Multi-Parameter Heart Rate Variability Analysis Heralds Onset of Sepsis in Adults

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    BACKGROUND: Early diagnosis of sepsis enables timely resuscitation and antibiotics and prevents subsequent morbidity and mortality. Clinical approaches relying on point-in-time analysis of vital signs or lab values are often insensitive, non-specific and late diagnostic markers of sepsis. Exploring otherwise hidden information within intervals-in-time, heart rate variability (HRV) has been documented to be both altered in the presence of sepsis, and correlated with its severity. We hypothesized that by continuously tracking individual patient HRV over time in patients as they develop sepsis, we would demonstrate reduced HRV in association with the onset of sepsis. METHODOLOGY/PRINCIPAL FINDINGS: We monitored heart rate continuously in adult bone marrow transplant (BMT) patients (n = 21) beginning a day before their BMT and continuing until recovery or withdrawal (12+/-4 days). We characterized HRV continuously over time with a panel of time, frequency, complexity, and scale-invariant domain techniques. We defined baseline HRV as mean variability for the first 24 h of monitoring and studied individual and population average percentage change (from baseline) over time in diverse HRV metrics, in comparison with the time of clinical diagnosis and treatment of sepsis (defined as systemic inflammatory response syndrome along with clinically suspected infection requiring treatment). Of the 21 patients enrolled, 4 patients withdrew, leaving 17 patients who completed the study. Fourteen patients developed sepsis requiring antibiotic therapy, whereas 3 did not. On average, for 12 out of 14 infected patients, a significant (25%) reduction prior to the clinical diagnosis and treatment of sepsis was observed in standard deviation, root mean square successive difference, sample and multiscale entropy, fast Fourier transform, detrended fluctuation analysis, and wavelet variability metrics. For infected patients (n = 14), wavelet HRV demonstrated a 25% drop from baseline 35 h prior to sepsis on average. For 3 out of 3 non-infected patients, all measures, except root mean square successive difference and entropy, showed no significant reduction. Significant correlation was present amongst these HRV metrics for the entire population. CONCLUSIONS/SIGNIFICANCE: Continuous HRV monitoring is feasible in ambulatory patients, demonstrates significant HRV alteration in individual patients in association with, and prior to clinical diagnosis and treatment of sepsis, and merits further investigation as a means of providing early warning of sepsis

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    World Congress Integrative Medicine & Health 2017: Part one

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    Cytidine Deaminase APOBEC3A Regulates PD-L1 Expression in Cancer Cells in a JNK/c-JUN-Dependent Manner

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    Programmed death-ligand 1 (PD-L1) promotes tumor immune evasion by engaging the PD-1 receptor and inhibiting T-cell activity. While the regulation of PD-L1 expression is not fully understood, its expression is associated with tumor mutational burden and response to immune checkpoint therapy. Here, we report that Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3A (APOBEC3A) is an important regulator of PD-L1 expression. Using an APOBEC3A inducible expression system as well as siRNA against endogenous APOBEC3A, we found that APOBEC3A regulates PD-L1 mRNA and protein levels as well as PD-L1 cell surface expression in cancer. Mechanistically, APOBEC3A-induced PD-L1 expression was dependent on APOBEC3A catalytic activity as catalytically dead APOBEC3A mutant (E72A) failed to induce PD-L1 expression. Furthermore, APOBEC3A-induced PD-L1 expression was dependent on replication-associated DNA damage and JNK/c-JUN signaling but not interferon signaling. In addition, we confirmed the relevance of these finding in patient tumors as APOBEC3A expression and mutational signature correlated with PD-L1 expression in multiple patient cancer types. These data provide a novel link between APOBEC3A, its DNA mutagenic activity and PD-L1-mediated antitumoral immunity. This work nominates APOBEC3A as a mechanism of immune evasion and a potential biomarker for the therapeutic efficacy of immune checkpoint blockade. IMPLICATIONS: APOBEC3A catalytic activity induces replication-associated DNA damage to promote PD-L1 expression implying that APOBEC3A-driven mutagenesis represents both a mechanism of tumor immune evasion and a therapeutically targetable vulnerability in cancer cells
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