Project description:This is a prospective, multi-centered study to assess whether urine metabolomics can play a role in the screening of colorectal cancer (CRC). Urine samples will be collected from 1000 patients going through an established CRC screening program, and from a further 500 patients who already have a diagnosis of CRC. Using nuclear magnetic resonance (NMR) spectroscopy, the 1H NMR spectrum of urine samples will be analyzed for specific metabolites, and establish the metabolomic signature of colorectal cancer. The results from metabolomic urinalysis of this screening cohort will be compared with results from colonoscopy, histological descriptions, fecal occult blood testing (FOBT), and fecal immune testing (FIT) to assess the accuracy of urine metabolomics in identifying patients with polyps and malignancies. The urine metabolomic results from the colorectal cancer group will be correlated with operative, histological and clinical staging to define the role of urine metabolomics in assessing colorectal cancer type, location and stage. Additionally approximately 300 urine samples from breast cancer patients and 300 from prostate cancer patients will be collected to validate that the colorectal cancer signature is unique.
Project description:SARS-CoV-2, a highly contagious and infectious virus is responsible for causing this COVID-19 pandemic, which has a substantial impact on global health and economy. The spectrum of clinical manifestations of COVID-19 ranges from mild or non-severe state to severe life-threatening condition in some group of people. Many patients are likely to undergo non-severe to severe transition during their infection period. For this study, we have collected blood samples of different time points from patients showing both non-severe to severe and severe to recovered transition. The clinical information of the patient’s condition is obtained from their medical records. We have investigated the proteome of different time points of the patient’s sample to analyse their trend in prognosis of the disease.
Project description:we obtained the proteome profiling of serum and urine specimen collected from 50 COVID-19 patients and 40 healthy subjects. We then used TMT-labeled proteomics and quantified 1,494 and 3,854 proteins in serum and urine, respectively. We then explored the pathogenic characteristics in body fluids after SARS-CoV-2 infection.
Project description:Mid-stream urine was collected from bladder cancer patients prior to surgery. Both tumor tissue and normal bladder mucosa that are located at >3cm away from the tumor edge were obtained by cystoscopy. For the normal controls with haematuria, urine samples were collected from patients who had normal cystoscopic finding and absence of malignancy with >6 months follow-up. All urine samples were centrifuged at 2500 r.c.f. for 20 minutes and the urine supernatant was collected. Total RNA of urine supernatant and frozen tissue was extracted using MirVanaTM PARISTM Kit (Ambion) in accordance with the manufacturerâs recommended protocols. AgilentTM Human miRNA Microarray Chip (Release 13.0, Agilent Technologies, Santa Clara, CA, USA) was used to determine the microRNA expression profiles of the samples.
Project description:Urine proteomics profiling from the mild and severe COVID-19 patients<ul><li>Dataset imported into MassIVE from <a href="https://www.iprox.org/page/project.html?id=IPX0002166000">https://www.iprox.org/page/project.html?id=IPX0002166000</a> on 05/30/20</li></ul>
Project description:SARS-CoV-2 infection has become a major public health burden and is known to affect many organs with the respiratory system being involved in a majority of cases. Here we undertook a mass spectrometry-based proteomic approach to test whether viral proteins could be detected in urine of patients with COVID-19. Urine samples from 39 patients positive for SARS-CoV-2 by RT-PCR were analyzed by mass spectrometry. We detected peptides from the nucleocapsid protein of the SARS-CoV-2 virus in 12 out of 35 urine samples. A set of five samples each from positive and negative groups were further used to study the host response. In conclusion, we demonstrated the identification of viral antigens in urine using mass spectrometry which further suggests that urine could be a potential source of infection with implications in disease transmission and also the changes in protein composition in urine may provide insights in understanding the disease pathogenesis.
Project description:Urine passes through the entire kidney and urinary tract system starting from the glomerulus and ending to the urethra. Cells in the kidney and urinary tract could be exfoliated from the epithelium into the urine, while leukocyte could infiltrate from the local tissue into the urine, which makes the urine a useful subject for clinical evaluation of relevant diseases. We performed scRNA-seq on voided urine samples. 50–100 mL middle stream urine samples were collected from 12 Chinese healthy adults and combined for droplet-based single-cell RNA sequencing after flow cytometric sorting of live cells. We presented the first single-cell atlas of adult human urine and identified multiple previously unrecognized cell types. Based on our scRNA-seq analysis data, a SOX9+ cell population was identified in adult human urine which we speculated to have progenitor potential.