Bile microbiome signatures associated with pancreatic ductal adenocarcinoma compared to benign disease: a UK pilot study

Pancreatic ductal adenocarcinoma (PDAC) has a very poor survival. The intra-tumoural microbiome can influence pancreatic tumourigenesis and chemoresistance and, therefore, patient survival. The role played by bile microbiota in PDAC is unknown. We aimed to define bile microbiome signatures that can effectively distinguish malignant from benign tumours in patients presenting with obstructive jaundice caused by benign and malignant pancreaticobiliary disease. Prospective bile samples were obtained from 31 patients who underwent either Endoscopic Retrograde Cholangiopancreatography (ERCP) or Percutaneous Transhepatic Cholangiogram (PTC). Variable regions (V3-V4) of the 16S rRNA genes of microorganisms present in the samples were amplified by Polymerase Chain Reaction (PCR) and sequenced. The cohort consisted of 12 PDAC, 10 choledocholithiasis, seven gallstone pancreatitis and two primary sclerosing cholangitis patients. Using the 16S rRNA method, we identified a total of 135 genera from 29 individuals (12 PDAC and 17 benign). The bile microbial beta diversity significantly differed between patients with PDAC vs. benign disease (Permanova p = 0.0173). The separation of PDAC from benign samples is clearly seen through unsupervised clustering of Aitchison distance. We found three genera to be of significantly lower abundance among PDAC samples vs. benign, adjusting for false discovery rate (FDR). These were Escherichia (FDR = 0.002) and two unclassified genera, one from Proteobacteria (FDR = 0.002) and one from Enterobacteriaceae (FDR = 0.011). In the same samples, the genus Streptococcus (FDR = 0.033) was found to be of increased abundance in the PDAC group. We show that patients with obstructive jaundice caused by PDAC have an altered microbiome composition in the bile compared to those with benign disease. These bile-based microbes could be developed into potential diagnostic and prognostic biomarkers for PDAC and warrant further investigation

Graphene sensor arrays for rapid and accurate detection of pancreatic cancer exosomes in patients' blood plasma samples

Biosensors based on graphene field effect transistors (GFETs) have the potential to enable the development of point-of-care diagnostic tools for early stage disease detection. However, issues with reproducibility and manufacturing yields of graphene sensors, but also with Debye screening and unwanted detection of nonspecific species, have prevented the wider clinical use of graphene technology. Here, we demonstrate that our wafer-scalable GFETs array platform enables meaningful clinical results. As a case study of high clinical relevance, we demonstrate an accurate and robust portable GFET array biosensor platform for the detection of pancreatic ductal adenocarcinoma (PDAC) in patients’ plasma through specific exosomes (GPC-1 expression) within 45 min. In order to facilitate reproducible detection in blood plasma, we optimized the analytical performance of GFET biosensors via the application of an internal control channel and the development of an optimized test protocol. Based on samples from 18 PDAC patients and 8 healthy controls, the GFET biosensor arrays could accurately discriminate between the two groups while being able to detect early cancer stages including stages 1 and 2. Furthermore, we confirmed the higher expression of GPC-1 and found that the concentration in PDAC plasma was on average more than 1 order of magnitude higher than in healthy samples. We found that these characteristics of GPC-1 cancerous exosomes are responsible for an increase in the number of target exosomes on the surface of graphene, leading to an improved signal response of the GFET biosensors. This GFET biosensor platform holds great promise for the development of an accurate tool for the rapid diagnosis of pancreatic cancer

The effectiveness of a Wearable Activity Tracker (WAT)-based intervention to improve physical activity levels in sedentary older adults : a systematic review and meta-analysis

202311 bckwAccepted ManuscriptSelf-fundedPublishedGreen (AAM

Prevalence and risk factors of undernutrition among older adults living in nonsubsidized residential care homes : a cross-sectional descriptive study

202401 bcchVersion of RecordSelf-fundedPublishedC

Frailty and its association with the Mediterranean diet, life-space, and social participation in community-dwelling older people

202312 bckwAccepted ManuscriptOthersCGNPublishedGreen (AAM

The effects of immersive virtual reality - assisted experiential learning on enhancing empathy in undergraduate health care students toward older adults with cognitive impairment : multiple-methods study

202402 bckwVersion of RecordOthersHong Kong Polytechnic UniversityPublishedC

Swallow detection with acoustics and accelerometric-based wearable technology : a scoping review

202403 bcvcVersion of RecordOthersHealth and Medical Research Fund (HMRF) from the Health Bureau of Hong Kong; Hong Kong Polytechnic UniversityPublishedC

Long-term effects of eHealth secondary prevention on cardiovascular health : A systematic review and meta-analysis

202307 bcwhNot applicableSelf-fundedEarly release12 month