Study protocol: multi-centre, randomised controlled clinical trial exploring stromal targeting in locally advanced pancreatic cancer; STARPAC2.

Background: Pancreatic cancer (PDAC: pancreatic ductal adenocarcinoma, the commonest form), a lethal disease, is best treated with surgical excision but is feasible in less than a fifth of patients. Around a third of patients presentlocally advanced, inoperable, non-metastatic (laPDAC), whose stadrd of care is palliative chemotherapy; a small minority are down-sized sufficiently to enable surgical excision. We propose a phase II clinical trial to test whether a combination of standard chemotherapy (gemcitabine & nab-Paclitaxel: GEM-NABP) and repurposing All Trans Retinoic Acid (ATRA) to target the stroma may extend progression-free survival and enable successful surgical resection for patients with laPDAC, since data from phase IB clinical trial demonstrate safety of GEM-NABP-ATRA combination to patients with advanced PDAC with potential therapeutic benefit.

Decoding the chicken gastrointestinal microbiome.

Metataxonomic studies have underpinned a vast understanding of microbial communities residing within livestock gastrointestinal tracts, albeit studies have often not been combined to provide a global census. Consequently, in this study we characterised the overall and common 'core' chicken microbiota associated with the gastrointestinal tract (GIT), whilst assessing the effects of GIT site, bird breed, age and geographical location on the GIT resident microbes using metataxonomic data compiled from studies completed across the world. Specifically, bacterial 16S ribosomal DNA sequences from GIT samples associated with various breeds, differing in age, GIT sites (caecum, faeces, ileum and jejunum) and geographical location were obtained from the Sequence Read Archive and analysed using the MGnify pipeline.

Systematic ocular phenotyping of 8,707 knockout mouse lines identifies genes associated with abnormal corneal phenotypes.

Purpose: Corneal dysmorphologies (CDs) are typically classified as either regressive degenerative corneal dystrophies (CDtrs) or defective growth and differentiation-driven corneal dysplasias (CDyps). Both eye disorders have multifactorial etiologies. While previous work has elucidated many aspects of CDs, such as presenting symptoms, epidemiology, and pathophysiology, the genetic mechanisms remain incompletely understood.

Population-Based vs. Health System and Insurer Records: Significant Underdiagnosis of Pcos - A Systematic Review.

Background: Polycystic ovary syndrome (PCOS) is one of the most prevalent cardio-metabolic disorders in women. However, PCOS diagnosis is often missed or delayed, which may have serious physical and mental health consequences. The extent of underdiagnosis remains unknown.

External validation of the accuracy of cardiovascular risk prediction tools in psoriatic disease: a UK Biobank study.

Introduction: Risk prediction is important for preventing and managing cardiovascular disease (CVD). CVD risk prediction tools designed for the general population may be inaccurate in people with inflammatory diseases.

Objectives: To investigate the performance of four cardiovascular risk prediction tools (QRISK3, Framingham Risk Score, Reynolds Risk Score and SCORE) in psoriatic arthritis (PsA) and psoriasis.

Yield of family screening for dilated cardiomyopathy: 10-year experience at a multidisciplinary cardiogenetic outpatient clinic.

Introduction: Current family screening approaches in dilated cardiomyopathy (DCM) depend on the presence or absence of a familial genetic variant, in which variant pathogenicity (i.e. benign or pathogenic) classification drives screening recommendations.

Features of intermediate and late dry age-related macular degeneration on adaptive optics ophthalmoscopy: Pinnacle Study Report 8.

Background/objectives: Adaptive optics ophthalmoscopy (AOO) has the potential to provide insights into AMD pathology and to assess the risk of progression. We aim to utilise AOO to describe detailed features of intermediate AMD and to characterise microscopic changes during atrophy development.

Subjects/methods: Patients with intermediate AMD were recruited into PINNACLE, a prospective observational cohort study.

Fistulae Secondary to Vaginal Pessary Use for Pelvic Organ Prolapse: A Systematic Review.

Introduction And Hypothesis: Urogenital and rectovaginal fistulae are rare complications of pessary use for pelvic organ prolapse (POP). This systematic review investigates the prevalence of these complications in patients using pessary for POP, potential risk factors and approaches to their investigation and management.

Methods: All studies in English reporting urogenital or rectovaginal fistulae secondary to pessaries for POP were eligible for inclusion.

Value of endometrial biopsy in patients with hysteroscopically atrophic endometrium in patients with postmenopausal bleeding.

Purpose: To determine the rate of precancer and cancer in women presenting with PMB who have a visually atrophic endometrium at hysteroscopy and assess the value of endometrial biopsy in this situation and the adequacy of the samples obtained.

Methods: Retrospective reviews of all patients with a visually atrophic endometrium at hysteroscopy who had presented with PMB and had an ET > / = 4 mm or ET < 4 mm with focal changes or irregular features between 2013 and 2024 at University Hospitals of Derby and Burton were included (n = 1096). Patients who had previously had cancer or precancer or had unclear hysteroscopy findings were excluded.

Trade-off between pollinator-wildflower diversity & grassland yields.

This is a critical moment for land use policy globally, with many countries (e.g. the UK and the European Union) currently undertaking significant green reforms of their agricultural policies.

Imperatives and co-benefits of research into climate change and neurological disease.

Evidence suggests that anthropogenic climate change is accelerating and is affecting human health globally. Despite urgent calls to address health effects in the context of the additional challenges of environmental degradation, biodiversity loss and ageing populations, the effects of climate change on specific health conditions are still poorly understood. Neurological diseases contribute substantially to the global burden of disease, and the possible direct and indirect consequences of climate change for people with these conditions are a cause for concern.

Trust in scientists and their role in society across 68 countries.

Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists.

[Update on the pathophysiology, prediction and prevention of inflammatory bowel diseases].

Background: The pathophysiology of inflammatory bowel diseases is not fully understood. In a staged model by the European Crohn's and Colitis Organization (ECCO) regarding disease development, it is assumed that there is a population at risk for manifestation of disease following subtle changes over time.

Objective: This work aims to summarize the current state of knowledge regarding the pathophysiology, prediction and prevention of chronic inflammatory bowel diseases.

Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study.

The Arteriovenous Access Stage (AVAS) classification simplifies information about suitability of vessels for vascular access (VA). It's been previously validated in a clinical study. Here, AVAS performance was tested against multiple ultrasound mapping measurements using machine learning.

Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder.

Diabetic retinopathy (DR) presents a significant concern among diabetic patients, often leading to vision impairment or blindness if left untreated. Traditional diagnosis methods are prone to human error, necessitating accurate alternatives. While various computer-aided systems have been developed to assist in DR detection, there remains a need for accurate and efficient methods to classify its stages.

A comparative analysis of alpha olefin sulfonate and dodecyl sulfate in aphronic fluid containing xanthan gum in a wide range of temperatures.

Geothermal energy, oil industry, and underground gas storage technology require deep drilling. Although oil-based drilling fluids have been widely used, they cause environmental issues. Environmentally friendly Aphronic fluid has emerged as an alternative to oil-based drilling fluid.

Triadic balance and network evolution in predictive models of signed networks.

This paper introduces a novel approach for identifying dynamic triadic transformation processes, applied to five networks: three undirected and two directed. Our method significantly enhances the prediction accuracy of network ties. While balance theory offers insights into evolving patterns of triadic structures, its effects on overall network dynamics remain underexplored.

Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach.

Premature ventricular contraction (PVC) is characterized by early repolarization of the myocardium originating from Purkinje fibers. PVC may occur in individuals who are otherwise healthy. However, it may be associated with some pathological conditions.

Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset.

Science is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries.