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Improving compliance with swallowing exercise to decrease radiotherapy-related dysphagia in patients with head and neck cancer

Dysphagia, one of the most common complications in head and neck cancer (HNC) treated with radiotherapy, can severely affect patients’ quality of life. Currently, because no “gold standard” treatment exists, swallowing exercise remains the main rehabilitation strategy for dysphagia. However, patients’ compliance with long-term swallowing exercise is only 40%, thus, greatly compromising outcomes. This article aims to analyze thefactors influencing swallowing exercise compliance in patients with HNC and explains strategies developed to date for improved rehabilitation outcomes.

“Sometimes Our Mob Don't Really Take It Serious Until It's Serious”: The Experiences of Western Australian Aboriginal Adolescents Living With Type 2 Diabetes, Their Parents, and Their Family Members

In Australia, Aboriginal children experience disproportionate rates of type 2 diabetes (T2D) compared with non-Aboriginal children. The aim of this qualitative study was to explore the experiences of Aboriginal adolescents with T2D and their family members to better understand the influences of T2D on self-management, with findings used to inform an enhanced service model of care.

Powerful promotions: An investigation of the teen-directed marketing power of outdoor food advertisements located near schools in Australia

Adolescents are heavily exposed to unhealthy outdoor food advertisements near schools, however, the marketing power of these advertisements among adolescents has not yet been explored. This study aimed to investigate the teen-directed marketing features present and quantify the overall marketing power of outdoor food advertisements located near schools to explore any differences by content (ie, alcohol, discretionary, core and miscellaneous foods) school type (ie, primary, secondary, K-12) and area-level socio-economic status (SES; ie, low vs high).

No association between in utero exposure to emissions from a coalmine fire and post-natal lung function

Studies linking early life exposure to air pollution and subsequent impaired lung health have focused on chronic, low-level exposures in urban settings. We aimed to determine whether in utero exposure to an acute, high-intensity air pollution episode impaired lung function 7-years later.

Blinatumomab Added to Chemotherapy in Infant Lymphoblastic Leukemia

KMT2A-rearranged acute lymphoblastic leukemia (ALL) in infants is an aggressive disease with 3-year event-free survival below 40%. Most relapses occur during treatment, with two thirds occurring within 1 year and 90% within 2 years after diagnosis. Outcomes have not improved in recent decades despite intensification of chemotherapy.

The effect of CFTR modulators on structural lung disease in cystic fibrosis

Newly developed quantitative chest computed tomography (CT) outcomes designed specifically to assess structural abnormalities related to cystic fibrosis (CF) lung disease are now available. CFTR modulators potentially can reduce some structural lung abnormalities. We aimed to investigate the effect of CFTR modulators on structural lung disease progression using different quantitative CT analysis methods specific for people with CF (PwCF).

Copy number variation in tRNA isodecoder genes impairs mammalian development and balanced translation

The number of tRNA isodecoders has increased dramatically in mammals, but the specific molecular and physiological reasons for this expansion remain elusive. To address this fundamental question we used CRISPR editing to knockout the seven-membered phenylalanine tRNA gene family in mice, both individually and combinatorially.

Multi-omic profiling reveals an RNA processing rheostat that predisposes to prostate cancer

Prostate cancer is the most commonly diagnosed malignancy and the third leading cause of cancer deaths. GWAS have identified variants associated with prostate cancer susceptibility; however, mechanistic and functional validation of these mutations is lacking.

Gene filtering strategies for machine learning guided biomarker discovery using neonatal sepsis RNA-seq data

Machine learning (ML) algorithms are powerful tools that are increasingly being used for sepsis biomarker discovery in RNA-Seq data. RNA-Seq datasets contain multiple sources and types of noise (operator, technical and non-systematic) that may bias ML classification. Normalisation and independent gene filtering approaches described in RNA-Seq workflows account for some of this variability and are typically only targeted at differential expression analysis rather than ML applications.