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Background: Change in breast density may predict outcome of women receiving adjuvant hormone therapy for breast cancer. We performed a prospective clinical trial to evaluate the impact of inherited variants in genes involved in oestrogen metabolism and signalling on change in mammographic percent density (MPD) with aromatase inhibitor (AI) therapy. Methods: Postmenopausal women with breast cancer who were initiating adjuvant AI therapy were enrolled onto a multicentre, randomised clinical trial of exemestane vs letrozole, designed to identify associations between AI-induced change in MPD and single-nucleotide polymorphisms in candidate genes. Subjects underwent unilateral craniocaudal mammography before and following 24 months of treatment. Results: Of the 503 enrolled subjects, 259 had both paired mammograms at baseline and following 24 months of treatment and evaluable DNA. We observed a statistically significant decrease in mean MPD from 17.1 to 15.1% ( P <0.001), more pronounced in women with baseline MPD ⩾20%. No AI-specific difference in change in MPD was identified. No significant associations between change in MPD and inherited genetic variants were observed. Conclusion: Subjects with higher baseline MPD had a greater average decrease in MPD with AI therapy. There does not appear to be a substantial effect of inherited variants in biologically selected candidate genes.

Previous research suggests that female red-backed salamanders (Plethodon cinereus) in Virginia court biennially whereas males court annually. Therefore, males may face a choice to court either gravid or nongravid females. Because gravid females represent an immediate insemination opportunity (whereas nongravid females do not), male red-backed salamanders may be under selection to be able to distinguish the reproductive status of conspecific females. We conducted an experiment to determine if males could discriminate between gravid and nongravid conspecific females through volatile chemical signals. Focal males were allowed to establish territories in testing arenas for 5 d and then were exposed to three treatments in a randomized order: volatile chemical signals from gravid females, nongravid females, and a control (blank filter paper). Randomization tests revealed that focal males exhibited significantly more aggressive behavior when they were exposed to volatile chemical signals from nongravid females than when they were exposed to those from gravid females and the control. We infer that male red-backed salamanders can determine the reproductive status of conspecific females through volatile chemical signals, which may influence their social associations.

Research in gene therapy involving genome-integrating vectors now often includes analysis of vector integration sites across the genome using methods such as ligation-mediated PCR (LM-PCR) or linear amplification-mediated PCR (LAM-PCR). To help researchers analyze these sites and the functions of nearby genes, we have developed SeqMap ( http://seqmap.compbio.iupui.edu/ ) a secure, web-based comprehensive vector integration site management tool that automatically analyzes and annotates large numbers of vector integration sites derived from LM-PCR experiments in human and model organisms upon a common genome database. We believe the use of this resource will enable better reproducibility and understanding of this important data.

X-linked chronic granulomatous disease (X-CGD) is an inherited immunodeficiency with absent phagocyte NADPH-oxidase activity caused by defects in the gene-encoding gp91 phox . Here, we evaluated strategies for less intensive conditioning for gene therapy of genetic blood disorders without selective advantage for gene correction, such as might be used in a human X-CGD protocol. We compared submyeloablative with ablative irradiation as conditioning in murine X-CGD, examining engraftment, oxidase activity and vector integration in mice transplanted with marrow transduced with a γ-retroviral vector for gp91 phox expression. The frequency of oxidase-positive neutrophils in the donor population was unexpectedly higher in many 300 cGy-conditioned mice compared with lethally irradiated recipients, as was the fraction of vector-marked donor secondary CFU-S12. Vector integration sites in marrow, spleen and secondary CFU-S12 DNA from primary recipients were enriched for cancer-associated genes, including Evi1 , and integrations in or near cancer-associated genes were more frequent in marrow and secondary CFU-S12 from 300 cGy-conditioned mice compared with fully ablated mice. These findings support the concept that vector integration can confer a selection bias, and suggest that the intensity of the conditioning regimen may further influence the effects of vector integration on clonal selection in post-transplant engraftment and hematopoiesis.

Up to 25 % of patients discontinue adjuvant aromatase inhibitor (AI) therapy due to intolerable symptoms. Predictors of which patients will be unable to tolerate these medications have not been defined. We hypothesized that inherited variants in candidate genes are associated with treatment discontinuation because of AI-associated toxicity. We prospectively evaluated reasons for treatment discontinuation in women with hormone receptor-positive breast cancer initiating adjuvant AI through a multicenter, prospective, randomized clinical trial of exemestane versus letrozole. Using multiple genetic models, we evaluated potential associations between discontinuation of AI therapy because of toxicity and 138 variants in 24 candidate genes, selected a priori, primarily with roles in estrogen metabolism and signaling. To account for multiple comparisons, statistical significance was defined as p  < 0.00036. Of the 467 enrolled patients with available germline DNA, 152 (33 %) discontinued AI therapy because of toxicity. Using a recessive statistical model, an intronic variant in ESR1 (rs9322336) was associated with increased risk of musculoskeletal toxicity-related exemestane discontinuation [HR 5.0 (95 % CI 2.1–11.8), p  < 0.0002]. An inherited variant potentially affecting estrogen signaling may be associated with exemestane-associated toxicity, which could partially account for intra-patient differences in AI tolerability. Validation of this finding is required.

Adjuvant therapy for hormone receptor (HR) positive postmenopausal breast cancer patients includes aromatase inhibitors (AI). While both the non-steroidal AI letrozole and the steroidal AI exemestane decrease serum estrogen concentrations, there is evidence that exemestane may be less detrimental to bone. We hypothesized that single nucleotide polymorphisms (SNP) predict effects of AIs on bone turnover. Early stage HR-positive breast cancer patients were enrolled in a randomized trial of exemestane versus letrozole. Effects of AI on bone mineral density (BMD) and bone turnover markers (BTM), and associations between SNPs in 24 candidate genes and changes in BMD or BTM were determined. Of the 503 enrolled patients, paired BMD data were available for 123 and 101 patients treated with letrozole and exemestane, respectively, and paired BTM data were available for 175 and 173 patients, respectively. The mean change in lumbar spine BMD was significantly greater for letrozole-treated (−3.2 %) compared to exemestane-treated patients (−1.0 %) ( p  = 0.0016). Urine N-telopeptide was significantly increased in patients treated with exemestane ( p  = 0.001) but not letrozole. Two SNPs (rs4870061 and rs9322335) in ESR1 and one SNP (rs10140457) in ESR2 were associated with decreased BMD in letrozole-treated patients. In the exemestane-treated patients, SNPs in ESR1 (Rs2813543) and CYP19A1 (Rs6493497) were associated with decreased bone density. Exemestane had a less negative impact on bone density compared to letrozole, and the effects of AI therapy on bone may be impacted by genetic variants in the ER pathway.

BACKGROUNDCow's milk (CM) allergy is the most common food allergy in young children. Treatment with oral immunotherapy (OIT) has shown efficacy, but high rates of adverse reactions. The aim of this study was to determine whether baked milk OIT (BMOIT) could reduce adverse reactions while still inducing desensitization, and to identify immunological correlates of successful BMOIT.METHODSThis phase II, randomized trial evaluated the safety and efficacy of BMOIT in milk-allergic children 3-18 years old. After the initial placebo-controlled first year of treatment, placebo-treated participants crossed over to active BMOIT. Double-blind, placebo-controlled oral food challenges (OFCs) were conducted with BM after year 1 and to both BM and unheated milk (UM) after year 2. IgG and IgE antibodies were measured along with CM-specific (CM+) CD4+ memory T cell populations, profiled using flow cytometry and scRNA-Seq.RESULTSTwenty-one of 30 (70%) reached the primary endpoint of tolerating 4044 mg of BM protein at month 24, and 11 of 30 tolerated 2000 mg or more of UM protein. Dosing symptoms were common, but more than 98% were mild, with no severe reactions. Immunological changes associated with desensitization included increased CM IgG4, CM+ FOXP3+ cells, and Tregs and corresponding decreases in CM IgE, CM+ Th2A cells, and CD154+ cells. T cell and antibody measurements were combined to build a model that predicted UM OFC outcomes.CONCLUSIONBMOIT was well tolerated and induced desensitization to BM and UM. This desensitization corresponded to redistribution within antigen-specific antibody and T cell compartments that provided insight into the mechanistic changes that occur with OIT treatment.TRIAL REGISTRATIONClinicalTrials.gov NCT03462030.FUNDING: Myra Reinhardt Family Foundation (grant number 128388), NIH/NIAID (U19AI135731, T32AI125179, S10OD025052).

The asymptotic behaviour of the M/M/n queue, with servers subject to independent breakdowns and repairs, is examined in the limit where the number of servers tends to infinity and the repair rate tends to 0, such that their product remains finite. It is shown that the limiting two-dimensional Markov process corresponds to a queue where the number of servers has the same stationary distribution as the number of jobs in an M/M/[infinity] queue. Hence, the limiting model is referred to as the M/M/[M/M/[infinity]] queue. Its numerical solution is discussed. [PUBLICATION ABSTRACT] Next, the behaviour of the M/M/[M/M/[infinity]] queue is analysed in heavy traffic when the traffic intensity approaches 1. The convergence of the (suitably normalized) process of the number of jobs to a diffusion is proved.

The stability properties of the bandwidth allocation algorithm first fit are analyzed for the distributions concentrated on three sizes for the requests. We give the explicit expression of the ergodicity condition of this model; it involves a quadratic functional of the input parameters. The stochastic processes describing these systems are string valued Markov processes. The notion of a smooth random state is introduced. Starting from a smooth random state the fluid limits of the process can be investigated. The fluid limits of interest are random dynamical systems in R2 which are products of random 2 × 2 matrices.

A ring of I cells rotates past I queues, carrying customers from their origins to their destinations. The system is modelled as a Markov chain, and the exact ergodicity conditions are given. They are shown to depend on the precise travel lengths distributions, that is, not only on their means. Ergodicity is proven through the stability analysis of the associated fluid limits. The arrivals distributions, which in the ergodicity conditions appear only through their means, are more subtly involved in the fluid limits behaviour, in that they determine the probabilities of random bifurcations that occur infinitely often in a simple system of I=2 queues. [PUBLICATION ABSTRACT]