BackgroundTelomerase is an enzyme that catalyzes the addition of nucleotides on the ends of chromosomes. Rare loss of function mutations in the gene that encodes the protein component of telomerase (TERT) have been described in patients with idiopathic pulmonary fibrosis (IPF). Here we examine the telomere lengths and pulmonary fibrosis phenotype seen in multiple kindreds with heterozygous TERT mutations.Methods and FindingsWe have identified 134 individuals with heterozygous TERT mutations from 21 unrelated families. Available medical records, surgical lung biopsies and radiographs were evaluated retrospectively. Genomic DNA isolated from circulating leukocytes has been used to measure telomere lengths with a quantitative PCR assay. We find that telomere lengths of TERT mutation carriers decrease in an age-dependent manner and show progressive shortening with successive generations of mutation inheritance. Family members without TERT mutations have a shorter mean telomere length than normal, demonstrating epigenetic inheritance of shortened telomere lengths in the absence of an inherited TERT mutation. Pulmonary fibrosis is an age-dependent phenotype not seen in mutation carriers less than 40 years of age but found in 60% of men 60 years or older; its development is associated with environmental exposures including cigarette smoking. A radiographic CT pattern of usual interstitial pneumonia (UIP), which is consistent with a diagnosis of IPF, is seen in 74% of cases and a pathologic pattern of UIP is seen in 86% of surgical lung biopsies. Pulmonary fibrosis associated with TERT mutations is progressive and lethal with a mean survival of 3 years after diagnosis. Overall, TERT mutation carriers demonstrate reduced life expectancy, with a mean age of death of 58 and 67 years for males and females, respectively.ConclusionsA subset of pulmonary fibrosis, like dyskeratosis congenita, bone marrow failure, and liver disease, represents a “telomeropathy” caused by germline mutations in telomerase and characterized by short telomere lengths. Family members within kindreds who do not inherit the TERT mutation have shorter telomere lengths than controls, demonstrating epigenetic inheritance of a shortened parental telomere length set-point.
Idiopathic pulmonary fibrosis (IPF) is an age-related disease featuring progressive lung scarring. To elucidate the molecular basis of IPF, we performed exome sequencing of familial pulmonary fibrosis kindreds. Gene burden analysis comparing 78 European cases and 2,816 controls implicated PARN, an exoribonuclease with no prior connection to telomere biology or disease, with five novel heterozygous damaging mutations in unrelated cases and none in controls (P-value = 1.3 × 10−8); mutations were shared by all affected relatives (odds in favor of linkage = 4,096:1). RTEL1, an established locus for dyskeratosis congenita, harbored significantly more novel damaging and missense variants at conserved residues in cases than controls (P = 1.6 × 10−6). PARN and RTEL1 mutation carriers had shortened leukocyte telomere lengths and epigenetic inheritance of short telomeres was seen in family members. Together these genes explain ~7% of familial pulmonary fibrosis and strengthen the link between lung fibrosis and telomere dysfunction.
Background Short telomere lengths are found in a subset of idiopathic pulmonary fibrosis (IPF) patients, but their clinical significance is unknown. The aim of this study was to investigate whether patients with various blood leukocyte telomere lengths had different overall survival. Methods Telomere lengths were measured in 370 genomic DNA samples isolated from peripheral blood collected from patients with interstitial lung disease (149 with IPF) at the time of their initial evaluation. Associations of telomere length with transplant-free survival were determined. Findings were validated in two independent IPF cohorts. Findings Patients with IPF had shorter telomere lengths than controls, but similar telomere lengths when compared to patients with other interstitial lung disease diagnoses after adjusting for age, male sex and ethnicity. Telomere length was independently associated with transplant-free survival time for patients with IPF (HR 0·22 [0·08–0·63], P-value = 0·0048), but not for patients with interstitial lung disease diagnoses other than IPF (HR 0·73 [0·16–3·41], P-value = 0·69). The association between telomere length and IPF survival was independent of age, male sex, forced vital capacity or diffusing capacity of carbon monoxide (and was replicated in two independent IPF cohorts (HR 0·11 [0·03–0·39], P-value 0·00066; HR 0·25 [0·07–0·87], P-value = 0·029). Addition of telomere length to clinical prediction models improved the integrative discrimination index, especially for IPF cohorts with milder disease. Interpretation These findings suggest that shorter leukocyte telomere lengths are associated with worse survival in IPF. Additional studies will be needed to determine clinically relevant thresholds for telomere length and how this biomarker may influence future risk stratification of IPF patients. Furthermore, this study offers mechanistic insight as disease progression in certain IPF patients may be related to aberrant signaling from short telomeres. Funding US National Heart, Lung, and Blood Institute; the National Center for Advancing Translational Science, the Harroun Family Foundation and the Nina Ireland Lung Disease Program.
Increased pulmonary production of prostaglandin I 2 (prostacyclin) by lung-specific overexpression of prostacyclin synthase decreases lung tumor incidence and multiplicity in chemically induced murine lung cancer models. We hypothesized that pulmonary prostacyclin synthase overexpression would prevent lung carcinogenesis in tobacco-smoke exposed mice. Murine exposure to tobacco smoke is an established model of inducing pulmonary adenocarcinomas and allows for the testing of potential chemopreventive strategies. Transgenic FVB/N mice with lungspecific prostacyclin synthase overexpression were exposed to mainstream cigarette smoke for 22 weeks and then held unexposed for an additional 20 weeks. All of the exposed animals developed bronchiolitis analogous to the respiratory bronchiolitis seen in human smokers. The transgenic mice, when compared with smoke-exposed transgene negative littermates, had significant decreases in tumor incidence and multiplicity. Significantly fewer transgenics (6 of 15; 40%) developed tumors compared with the tumor incidence in wild-type littermates (16 of 19; 84%; Fisher's exact test, P ؍ 0.012). Tumor multiplicity was also significantly decreased in the transgenic animals (tg ؉ ؍ 0.4 ؎ 0.5 versus wild-type ؍ 1.2 ؎ 0.86 tumors/mouse; P < 0.001). Targeted prostaglandin levels at the time of sacrifice revealed significantly elevated prostaglandin I 2 levels in the transgenic animals, coupled with significantly decreased prostaglandin E 2 levels. Gene expression analysis of isolated type II pneumocytes suggests potential explanations for the observed chemoprevention, with Western blot analysis confirming decreased expression of cytochrome p450 2e1. These studies extend our previous studies and demonstrate that manipulation of prostaglandin production distal to cyclooxygenase significantly reduces lung carcinogenesis in a tobacco smoke exposure model, and gene expression studies show critical alterations in antioxidation, immune response, and cytokine pathways.
BackgroundAccurate, timely and automated identification of patients at high risk for severe clinical deterioration using readily available clinical information in the electronic medical record (EMR) could inform health systems to target scarce resources and save lives.MethodsWe identified 7,466 patients admitted to a large, public, urban academic hospital between May 2009 and March 2010. An automated clinical prediction model for out of intensive care unit (ICU) cardiopulmonary arrest and unexpected death was created in the derivation sample (50% randomly selected from total cohort) using multivariable logistic regression. The automated model was then validated in the remaining 50% from the total cohort (validation sample). The primary outcome was a composite of resuscitation events, and death (RED). RED included cardiopulmonary arrest, acute respiratory compromise and unexpected death. Predictors were measured using data from the previous 24 hours. Candidate variables included vital signs, laboratory data, physician orders, medications, floor assignment, and the Modified Early Warning Score (MEWS), among other treatment variables.ResultsRED rates were 1.2% of patient-days for the total cohort. Fourteen variables were independent predictors of RED and included age, oxygenation, diastolic blood pressure, arterial blood gas and laboratory values, emergent orders, and assignment to a high risk floor. The automated model had excellent discrimination (c-statistic=0.85) and calibration and was more sensitive (51.6% and 42.2%) and specific (94.3% and 91.3%) than the MEWS alone. The automated model predicted RED 15.9 hours before they occurred and earlier than Rapid Response Team (RRT) activation (5.7 hours prior to an event, p=0.003)ConclusionAn automated model harnessing EMR data offers great potential for identifying RED and was superior to both a prior risk model and the human judgment-driven RRT.
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