‘My role is not just representing dentists – it is ensuring the wider oral health message is embedded in healthcare management and leads to improvements in patient care’
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Sounds as taxonomic indicators in Holocentrid fishes
The species-specific character of sounds in the animal kingdom has been extensively documented, yet research on fishes has predominantly focused on a limited number of species, overlooking the potential of acoustic signals to reflect broader taxonomic ranks. In this study, we analyzed acoustic data of hand-held sounds from 388 specimens spanning 5 genera and 33 species within the family Holocentridae, with the objective of evaluating the use of sound characteristics for taxonomic discrimination across various levels (subfamily, genus, species). Sounds could be indicative of grouping. Taxa discriminability depends on taxonomic level; the higher the taxonomic level, the better the discrimination of taxa based on sounds. Analogous to the role of morphological traits in taxonomic delineation, this research corroborates the utility of acoustic features in identifying fish taxa across multiple hierarchical levels. Remarkably, certain holocentrid species have evolved complex sound patterns characterized by unique temporal arrangements where pulses are not continuous but emitted in blocks, facilitating the exploitation of the acoustic space.
Integration of multiple machine learning approaches develops a gene mutation-based classifier for accurate immunotherapy outcomes
In addition to traditional biomarkers like PD-(L)1 expression and tumor mutation burden (TMB), more reliable methods for predicting immune checkpoint blockade (ICB) response in cancer patients are urgently needed. This study utilized multiple machine learning approaches on nonsynonymous mutations to identify key mutations that are most significantly correlated to ICB response. We proposed a classifier, Gene mutation-based Predictive Signature (GPS), to categorize patients based on their predicted response and clinical outcomes post-ICB therapy. GPS outperformed conventional predictors when validated in independent cohorts. Multi-omics analysis and multiplex immunohistochemistry (mIHC) revealed insights into tumor immunogenicity, immune responses, and the tumor microenvironment (TME) in lung adenocarcinoma (LUAD) across different GPS groups. Finally, we validated distinct responses of different GPS samples to ICB in an ex-vivo tumor organoid-PBMC co-culture model. Overall, our findings highlight a simple, robust classifier for accurate ICB response prediction, which could reduce costs, shorten testing times, and facilitate clinical implementation.
Failed mobility transition in an ideal setting and implications for building a green city
The mobility sector significantly contributes to the climate crisis, impacting several Sustainable Development Goals (SDGs) such as good health (SDG 3), sustainable cities (SDG 11), climate action (SDG 13), and life on land (SDG 15). Despite broad consensus on the need for mobility transformation, practical implementation is contentious due to diverse stakeholder interests. Tübingen, a green showcase city in Germany, exemplifies this challenge. Although ideal for green mobility, a tramway project was rejected in a referendum. This case-study highlights that mobility transition is not just a technical issue but a discourse-communicative challenge, emphasising the role of socially embedded narratives. The study aims to explain the referendum’s rejection by analysing discourses, identifying argumentation patterns, and providing insights for future projects. Using Hajer’s Discourse Coalitions approach and Discourse Network Analysis, the study found that the discourse was dynamic and polarised. The pro-tramway coalition’s communication deficiencies and the opposing coalition’s strong narrative connectivity influenced the outcome. Recommendations for effective communication strategies in future projects are provided.
Clinical practice recommendations for the diagnosis and management of X-linked hypophosphataemia
X-linked hypophosphataemia (XLH) is a rare metabolic bone disorder caused by pathogenic variants in the PHEX gene, which is predominantly expressed in osteoblasts, osteocytes and odontoblasts. XLH is characterized by increased synthesis of the bone-derived phosphaturic hormone fibroblast growth factor 23 (FGF23), which results in renal phosphate wasting with consecutive hypophosphataemia, rickets, osteomalacia, disproportionate short stature, oral manifestations, pseudofractures, craniosynostosis, enthesopathies and osteoarthritis. Patients with XLH should be provided with multidisciplinary care organized by a metabolic bone expert. Historically, these patients were treated with frequent doses of oral phosphate supplements and active vitamin D, which was of limited efficiency and associated with adverse effects. However, the management of XLH has evolved in the past few years owing to the availability of burosumab, a fully humanized monoclonal antibody that neutralizes circulating FGF23. Here, we provide updated clinical practice recommendations for the diagnosis and management of XLH to improve outcomes and quality of life in these patients.
Frequency and factors associated with the utilization (curative and preventive) of oral health care services among pregnant women in Kinshasa, Democratic Republic of Congo
The Democratic Republic of Congo (DRC) has one of the highest maternal and neonatal mortality rates in Africa. There is a growing body of evidence about the relationship between poor oral health and adverse pregnancy outcomes. However, there is a lack of information about oral health status during pregnancy in the DRC. This study aimed to identify the factors related to the utilization of oral health care services among pregnant women.
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