Citations

6575 Background: Delays in diagnosis (dx) and treatment (tx) affect breast cancer (BC) outcomes. We sought to identify factors associated with delays among young women, who do not undergo routine screening and often have pregnancy or breastfeeding-related breast changes that may mask a BC. Methods: The Young Women’s Breast Cancer Study is a multicenter, prospective cohort that enrolled 1302 women with newly dx BC age ≤40 between 2006-2016. Women reported the method and timing of cancer detection on the baseline survey. 231 were ineligible or excluded due to missing information. Among those reporting self-detected cancers, using multivariable regression we evaluated factors associated with delays ≥90 days (d) from symptom to presentation (self delay) and presentation to dx (care delay); in stage 0-III BC we evaluated delays ≥60d from dx to tx (tx delay). Results: 1071 eligible women had median age at dx of 37 yrs (17-40) and 74% reported self-detected cancers. Self delay or care delay ≥90d was reported in 17% and 13%, respectively. Factors inversely associated with self delay included pregnancy at dx (vs nulliparous, OR 0.10, CI 0.01-0.78) and perceived financial comfort (vs not, OR 0.62, CI 0.41-0.93). Women dx ≤1 year post-partum who breastfed (vs nulliparous, OR 2.60, CI 1.14-5.93) and those with a family history of breast/ovarian cancer (vs none, OR 1.79, CI 1.00-3.19) were more likely to have a care delay. Age was inversely associated with care delays (OR 0.94, CI 0.89-0.99). Tx delay was reported by 10% (105/1015), and associated with being single (vs partnered, OR 1.61, CI 1.02-2.56 ), non-white (vs white, OR 1.85, CI 1.09-3.13) and having Stage 0 BC (vs stage 1, OR: 3.08, CI 1.65-5.77); women with stage 3 BC (vs stage 1, OR 0.13, CI 0.03-0.56) were less likely to have a tx delay. Conclusions: In this cohort, most young women with BC underwent timely dx and tx initiation. Women dx ≤1 year post-partum who breastfed were more likely to experience a care delay, likely because lactational changes may mask BC signs and symptoms. The associations of perceived financial status with self delay and non-white race with tx delay underscore the need for additional support to ensure timely care for underserved populations with the goal of eliminating disparities in outcomes.

Mobile technology has become a ubiquitous part of everyday life and is changing the way we offer clinical care and perform clinical research. We have unprecedented access to data for one’s self-care as well as for sharing with health care providers. Meeting the challenge posed by the influx of wearable device data requires a multidisciplinary team of researchers, clinicians, software developers, information technologists, and statisticians. Although the possibility of what can be achieved with the ever-evolving wearable technologies seems to be unlimited, regulatory agencies have provided a framework to establish standards for clinical applications, which will also affect research applications. Clinical programs and electronic medical records vendors should prepare to establish a framework to implement these technologies into clinicians’ workflow and to allow feedback to measure the impact on clinical outcome. In this article, we discuss how a new brand of multidisciplinary care is evolving around mobile health devices and present a vision of up-and-coming technology in this space.

Abstract Depression is a seriously disabling psychiatric disorder with a significant burden of disease. Metabolic abnormalities have been widely reported in depressed patients and animal models. However, there are few systematic efforts that integrate meaningful biological insights from these studies. Herein, available metabolic knowledge in the context of depression was integrated to provide a systematic and panoramic view of metabolic characterization. After screening more than 10 000 citations from five electronic literature databases and five metabolomics databases, we manually curated 5675 metabolite entries from 464 studies, including human, rat, mouse and non-human primate, to develop a new metabolite-disease association database, called MENDA (http://menda.cqmu.edu.cn:8080/index.php). The standardized data extraction process was used for data collection, a multi-faceted annotation scheme was developed, and a user-friendly search engine and web interface were integrated for database access. To facilitate data analysis and interpretation based on MENDA, we also proposed a systematic analytical framework, including data integration and biological function analysis. Case studies were provided that identified the consistently altered metabolites using the vote-counting method, and that captured the underlying molecular mechanism using pathway and network analyses. Collectively, we provided a comprehensive curation of metabolic characterization in depression. Our model of a specific psychiatry disorder may be replicated to study other complex diseases.

How dipeptide repeats cause pathology A repeat expansion in the chromosome 9 open reading frame 72 ( C9orf72 ) gene is the most common known cause of two neurodegenerative diseases: frontotemporal dementia and amyotrophic lateral sclerosis. This expansion leads to the abnormal production of proteins of repeating dipeptides, but their contribution to disease pathogenesis remains unclear. Zhang et al. engineered a mouse model to study the consequences of one of these dipeptides—prolinearginine dipeptide repeat protein, poly(PR)—in the brain. They found that poly(PR) caused neuron loss as well as motor and memory impairments. These detrimental effects resulted from poly(PR)-induced perturbation of heterochromatin function, a tightly packed form of DNA that represses gene expression. Science , this issue p. eaav2606

This work evaluates the use of a new flow meter to assess exhalation rate. A mobile indirect calorimeter (MIC) was designed and used to measure resting metabolic rate (RMR), which relies on the measure of O2 consumption rate (VO2) and CO2 production rate (VCO2). The device was produced from a commercially available and well-established indirect calorimeter and implemented with a new flow meter for the purpose of this study. VO2 and VCO2 were assessed by measuring exhalation rates using the new flow meter and O2 and CO2 concentrations in breath using the original colorimetric sensors of the indirect calorimeter. The new flow meter was based on a thermal flow meter (TFM) affixed to an orifice with a diameter of 6.8 mm used as a passage for exhaled breath from 16 subjects. The results were compared with a metabolic cart (Medical Graphics), which was connected in series to the modified device. We found that 69% of the results had more than a 10% difference between the modified MIC device and the reference instrument, suggesting that the sensitivity of the thermal flow meter changed over time, which precluded its use as a flow meter for breath flow rate measurement.