2,186 results match your criteria: "Li Ka-Shing Centre[Affiliation]"

Mutations in outer membrane porins act in synergy with carbapenemase enzymes to increase carbapenem resistance in the important nosocomial pathogen, Klebsiella pneumoniae (KP). A key example is a di-amino acid insertion, Glycine-Aspartate (GD), in the extracellular loop 3 (L3) region of OmpK36 which constricts the pore and restricts entry of carbapenems into the bacterial cell. Here we combined genomic and experimental approaches to characterise the diversity, spread and impact of different L3 insertion types in OmpK36.

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Improved Interpretability of Brain-Behavior CCA With Domain-Driven Dimension Reduction.

Front Neurosci

June 2022

Wellcome Centre for Integrative Neuroimaging, Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.

Canonical Correlation Analysis (CCA) has been widely applied to study correlations between neuroimaging data and behavioral data. Practical use of CCA typically requires dimensionality reduction with, for example, Principal Components Analysis (PCA), however, this can result in CCA components that are difficult to interpret. In this paper, we introduce a Domain-driven Dimension Reduction (DDR) method, reducing the dimensionality of the original datasets and combining human knowledge of the structure of the variables studied.

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Senescence: An Identity Crisis Originating from Deep Within the Nucleus.

Annu Rev Cell Dev Biol

October 2022

Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge, United Kingdom; email:

Cellular senescence is implicated in a wide range of physiological and pathological conditions throughout an organism's entire lifetime. In particular, it has become evident that senescence plays a causative role in aging and age-associated disorders. This is not due simply to the loss of function of senescent cells.

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Germline allelic expression of genes at 17q22 locus associates with risk of breast cancer.

Eur J Cancer

September 2022

Faculty of Medicine and Biomedical Sciences, Gambelas Campus, 805-139 Faro, Portugal; Center for Research in Health Technologies and Information Systems (CINTESIS), Universidade do Algarve, Faro, Portugal. Electronic address:

Introduction: Translation of genome-wide association study (GWAS) findings into preventive approaches is challenged by the identification of the causal risk variants and the understanding of the biological mechanisms by which they act. We present using allelic expression (AE) ratios to perform quantitative case-control analysis as a novel approach to identify risk associations, causal regulatory variants, and target genes.

Methods: Using the breast cancer (BC) risk locus 17q22 to validate this approach, we measured AE ratios in normal breast tissue samples from controls and cases, as well as from unmatched blood samples.

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Micronesia began to be peopled earlier than other parts of Remote Oceania, but the origins of its inhabitants remain unclear. We generated genome-wide data from 164 ancient and 112 modern individuals. Analysis reveals five migratory streams into Micronesia.

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Systemic and Oligo-Acquired Resistance to PD-(L)1 Blockade in Lung Cancer.

Clin Cancer Res

September 2022

Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, New York.

Purpose: Clinical patterns and the associated optimal management of acquired resistance to PD-(L)1 blockade are poorly understood.

Experimental Design: All cases of metastatic lung cancer treated with PD-(L)1 blockade at Memorial Sloan Kettering were reviewed. In acquired resistance (complete/partial response per RECIST, followed by progression), clinical patterns were distinguished as oligo (OligoAR ≤ 3 lesions of disease progression) or systemic (sAR).

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Objectives: Glucagon-like peptide-1 receptor agonists (GLP-1 RA) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) have shown cardiorenal benefits independent of their glucose-lowering effects among persons living with type 2 diabetes mellitus (T2DM). In this study, we describe the proportion of persons with T2DM eligible to receive and currently receiving these agents based on their risk criteria for cardiorenal events.

Methods: This study was a cross-sectional analysis of primary care electronic medical records, in southern Alberta, of persons with T2DM who had at least 1 encounter with their primary care provider between December 31, 2018, to December 31, 2020.

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Article Synopsis
  • The study investigates the genetic factors contributing to the decline in estimated glomerular filtration rate (eGFR), a key indicator of kidney function, by analyzing data from 62 longitudinal studies involving over 343,000 participants.
  • Twelve significant genetic variants related to eGFR decline were identified, with most showing interaction effects based on age, which highlights how genetic influences on kidney function change as individuals get older.
  • The findings emphasize that individuals with certain genetic profiles face higher risks for kidney failure and acute kidney injury, providing valuable insights that could aid in drug development and strategies for managing kidney health.
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Causal inference on neuroimaging data with Mendelian randomisation.

Neuroimage

September 2022

Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, City Oxford, UK.

While population-scale neuroimaging studies offer the promise of discovery and characterisation of subtle risk factors, massive sample sizes increase the power for both meaningful associations and those attributable to confounds. This motivates the need for causal modelling of observational data that goes beyond statements of association and towards deeper understanding of complex relationships between individual traits and phenotypes, clinical biomarkers, genetic variation, and brain-related measures of health. Mendelian randomisation (MR) presents a way to obtain causal inference on the basis of genetic data and explicit assumptions about the relationship between genetic variables, exposure and outcome.

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Niche-specific genome degradation and convergent evolution shaping adaptation during severe infections.

Elife

June 2022

Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia.

During severe infections, moves from its colonising sites to blood and tissues and is exposed to new selective pressures, thus, potentially driving adaptive evolution. Previous studies have shown the key role of the locus in pathoadaptation; however, a more comprehensive characterisation of genetic signatures of bacterial adaptation may enable prediction of clinical outcomes and reveal new targets for treatment and prevention of these infections. Here, we measured adaptation using within-host evolution analysis of 2590 .

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Article Synopsis
  • Reduced glomerular filtration rate (GFR) is a precursor to kidney failure, influenced by factors like genetics and diabetes (DM), but the interaction between these factors is not well understood.
  • A large-scale genome-wide association study (GWAS) analyzed eGFR across almost 1.5 million individuals, revealing distinct genetic loci that differ between those with and without diabetes.
  • The findings identified potential new targets for drug development aimed at protecting kidney function, highlighting that many drug interventions could be effective for both diabetic and non-diabetic populations.
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Bacterial conjugation mediates contact-dependent transfer of DNA from donor to recipient bacteria, thus facilitating the spread of virulence and resistance plasmids. Here we describe how variants of the plasmid-encoded donor outer membrane (OM) protein TraN cooperate with distinct OM receptors in recipients to mediate mating pair stabilization and efficient DNA transfer. We show that TraN from the plasmid pKpQIL (Klebsiella pneumoniae) interacts with OmpK36, plasmids from R100-1 (Shigella flexneri) and pSLT (Salmonella Typhimurium) interact with OmpW, and the prototypical F plasmid (Escherichia coli) interacts with OmpA.

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Comparative performance of the EuroQol EQ-5D-5L and the CDC healthy days measures in assessing population health.

J Patient Rep Outcomes

June 2022

Alberta PROMs and EQ-5D Research and Support Unit (APERSU), School of Public Health, University of Alberta, 2-040 Li Ka Shing Centre for Health Research Innovation, Edmonton, AB, T6G 2E1, Canada.

Objectives: To examine the comparative performance of EuroQol EQ-5D-5L and Center for Disease Control Healthy Days measures in assessing population health.

Methods: Using data from 2014 Alberta Community Health Survey, a cross-sectional population-based survey (N = 7559), conducted in Alberta, Canada, we examined construct validity of the measures as indicators of population health. Differences in EQ-5D-5L index score, visual analogue scale (EQ-VAS), and CDC unhealthy days index across socio-demographic subgroups were tested by Mann-Whitney and Kruskal-Wallis tests using known-groups approach.

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Article Synopsis
  • * Geostatistical methods analyze spatial data from prevalence surveys, helping to create maps that improve disease risk assessment and planning of targeted interventions.
  • * A new Bayesian approach combines geostatistical maps with transmission models to better evaluate the impact of control programs at a local level, applied successfully to lymphatic filariasis in East Africa.
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Background: Standard-of-care first-line chemotherapy for epithelial ovarian cancer is carboplatin and paclitaxel administered once every 3 weeks. The JGOG 3016 trial reported significant improvement in progression-free and overall survival with dose-dense weekly paclitaxel and 3-weekly (ie, once every 3 weeks) carboplatin. However, this benefit was not observed in the previously reported progression-free survival results of ICON8.

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Effects estimated by genome-wide association studies (GWASs) include effects of alleles in an individual on that individual (direct genetic effects), indirect genetic effects (for example, effects of alleles in parents on offspring through the environment) and bias from confounding. Within-family genetic variation is random, enabling unbiased estimation of direct genetic effects when parents are genotyped. However, parental genotypes are often missing.

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Centrosome function is critical during terminal erythroid differentiation.

EMBO J

July 2022

Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.

Red blood cells are produced by terminal erythroid differentiation, which involves the dramatic morphological transformation of erythroblasts into enucleated reticulocytes. Microtubules are important for enucleation, but it is not known if the centrosome, a key microtubule-organizing center, is required as well. Mice lacking the conserved centrosome component, CDK5RAP2, are likely to have defective erythroid differentiation because they develop macrocytic anemia.

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Allelic expression imbalance of PIK3CA mutations is frequent in breast cancer and prognostically significant.

NPJ Breast Cancer

June 2022

Faculty of Medicine and Biomedical Sciences (FMCB), Universidade do Algarve, Faro, Portugal.

PIK3CA mutations are the most common in breast cancer, particularly in the estrogen receptor-positive cohort, but the benefit of PI3K inhibitors has had limited success compared with approaches targeting other less common mutations. We found a frequent allelic expression imbalance between the missense mutant and wild-type PIK3CA alleles in breast tumors from the METABRIC (70.2%) and the TCGA (60.

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Can Researchers Assess the Suitability of Datasets to Answer Their Research Questions, with Access to Metadata Only?

Stud Health Technol Inform

June 2022

Centre for Health Informatics, Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK.

Health research increasingly requires effective ways to identify existing datasets and assess their suitability for research. We sought to test whether researchers could use an existing metadata catalogue to assess the suitability of datasets for addressing specified research questions. Five datasets were described in the National Institute for Health Research Health Informatics Collaborative metadata catalogue, and for each dataset five associated research questions were formulated, some of which were answerable with the dataset while others were not.

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Genetically predicted vitamin K levels and risk of osteoarthritis: Mendelian randomization study.

Semin Arthritis Rheum

August 2022

Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Orthopedics, Sport Medicine & Rehabitation, General Hospital of Chinese PLA, Beijing, China; Department of Orthopedics, General Hospital of Chinese PLA, Beijing, China.

Objective: Osteoarthritis (OA) is a progressive disease for which there is no disease modifying therapy. Vitamin K levels and vitamin K antagonism have been associated with risk and progression of OA which may have direct implications for clinical management, but these observational findings are susceptible to confounding. We aimed to estimate the causal association between vitamin K and OA risk using Mendelian randomisation (MR).

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Background: Germline variants explain more than a third of prostate cancer (PrCa) risk, but very few associations have been identified between heritable factors and clinical progression.

Objective: To find rare germline variants that predict time to biochemical recurrence (BCR) after radical treatment in men with PrCa and understand the genetic factors associated with such progression.

Design, Setting, And Participants: Whole-genome sequencing data from blood DNA were analysed for 850 PrCa patients with radical treatment from the Pan Prostate Cancer Group (PPCG) consortium from the UK, Canada, Germany, Australia, and France.

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BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography.

Neuroimage

September 2022

Oxford Machine Learning in Neuroimaging laboratory, OMNI, Department of Computer Science, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom.

Article Synopsis
  • Brain extraction and alignment are essential for neuroimaging, especially in studying fetal brain development with 3D ultrasound (US), but there have been limited automated tools for this purpose.
  • A new convolutional neural network (CNN) called the Brain Extraction and Alignment Network (BEAN) has been developed, which effectively extracts and aligns fetal brains from unprocessed 3D US scans using two distinct processes.
  • BEAN was tested on 356 scans from 14 to 30 weeks gestation and demonstrated superior performance for both brain extraction and alignment tasks, showcasing high accuracy and consistency in identifying key brain structures.
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The transmission dynamics and burden of SARS-CoV-2 in many regions of the world is still largely unknown due to the scarcity of epidemiological analyses and lack of testing to assess the prevalence of disease. In this work, we develop a quantitative framework based on excess mortality data to reconstruct SARS-CoV-2 transmission dynamics and assess the level of underreporting in infections and deaths. Using weekly all-cause mortality data from Iran, we are able to show a strong agreement between our attack rate estimates and seroprevalence measurements in each province and find significant heterogeneity in the level of exposure across the country with 11 provinces reaching near 100% attack rates.

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