A5012872564- Immune Response and Inflammation
- Influenza Virus Research Studies
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- interferon and immune responses
- Sepsis Diagnosis and Treatment
- Metabolomics and Mass Spectrometry Studies
- SARS-CoV-2 detection and testing
- Respiratory viral infections research
- Advanced Chemical Sensor Technologies
- Analytical Chemistry and Chromatography
- Analytical chemistry methods development
- Advanced biosensing and bioanalysis techniques
- HIV/AIDS drug development and treatment
- Biochemical and Molecular Research
- Extracellular vesicles in disease
- Pneumonia and Respiratory Infections
- Electrochemical Analysis and Applications
- Intensive Care Unit Cognitive Disorders
- Immune cells in cancer
- RNA modifications and cancer
- Acoustic Wave Resonator Technologies
- Electrochemical sensors and biosensors
- Vitamin C and Antioxidants Research
- Molecular Junctions and Nanostructures
Nepean Hospital
2016-2025
Westmead Institute for Medical Research
2016-2025
The University of Sydney
2004-2025
Ferdowsi University of Mashhad
2023
K.N.Toosi University of Technology
2021-2022
Tehran University of Medical Sciences
2021-2022
Indian Institute of Technology Bombay
2017-2022
Leiden University
2022
University of Tehran
2014-2017
University of Tabriz
2008-2014
Abstract Severe influenza infection has no effective treatment available. One of the key barriers to developing host-directed therapy is a lack reliable prognostic factors needed guide such therapy. Here, we use network analysis approach identify host associated with severe and fatal outcome. In patients moderate-to-severe diseases, uncover complex landscape immunological pathways, main changes occurring in pathways related circulating neutrophils. Patients disease display excessive...
BackgroundInter-individual variability during sepsis limits appropriate triage of patients. Identifying, at first clinical presentation, gene expression signatures that predict subsequent severity will allow clinicians to identify the most at-risk groups patients and enable antibiotic use.MethodsBlood RNA-Seq data were collected from 348 in four emergency rooms (ER) one intensive-care-unit (ICU), 44 healthy controls. Gene profiles analyzed using machine learning mining clinically relevant...
Purpose Robust biomarkers that predict disease outcomes amongst COVID-19 patients are necessary for both patient triage and resource prioritisation. Numerous candidate have been proposed COVID-19. However, at present, there is no consensus on the best diagnostic approach to in infected patients. Moreover, it not clear whether such tools would apply other potentially pandemic pathogens therefore of use as stockpile future preparedness. Methods We conducted a multi-cohort observational study...
Cirrhosis likely shares common pathophysiological pathways despite arising from a variety of liver diseases. A recent GWAS identified rs641738, polymorphism in the MBOAT7 locus, as being associated with development alcoholic cirrhosis. Here we explore role this variant on inflammation and fibrosis two cohorts patients chronic hepatitis C. In 2,051 patients, rs641738 severe hepatic increased risk fibrosis, well fast progression. At functional level, transcript protein levels blood, serum...
Host response biomarkers can accurately distinguish between influenza and bacterial infection. However, published require the measurement of many genes, thereby making it difficult to implement them in clinical practice. This study aims identify a single-gene biomarker with high diagnostic accuracy equivalent multi-gene biomarkers. In this study, we combined an integrated genomic analysis 1071 individuals vitro experiments using well-established infection models. We identified biomarker,...
Viral respiratory tract infections are frequently complicated by secondary bacterial infections. This study aimed to use machine learning predict the risk of superinfection in SARS-CoV-2-positive individuals.
Background Coronavirus disease 2019 (COVID-19) is an infectious caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Infected individuals display a wide spectrum of severity, as defined the World Health Organization (WHO). One main factors underlying this heterogeneity host immune response, with COVID-19 often associated hyperinflammatory state. Aim Our current study aimed to pinpoint specific genes and pathways differences in outcomes observed, through in-depth analyses...
Abstract Objectives Hospitalized patients who presented within the last 24 h with a bacterial infection were recruited. Participants assigned into sepsis and uncomplicated groups. In addition, healthy volunteers recruited as controls. RNA was prepared from whole blood, depleted beta-globin mRNA sequenced. This dataset represents highly valuable resource to better understand biology of identify biomarkers for severe in humans. Data description The data here consists raw processed...
Abstract Predicting the severity of COVID-19 remains an unmet medical need. Our objective was to develop a blood-based host-gene-expression classifier for viral infections and validate it in independent data, including COVID-19. We developed logistic regression-based validated multiple infection settings used training data (N = 705) from 21 retrospective transcriptomic clinical studies influenza other illnesses looking at preselected panel host immune response messenger RNAs. selected 6 RNAs...
Knowledge of the mechanisms underpinning development protective immunity conferred by mRNA vaccines is fragmentary. Here, we investigated responses to coronavirus disease 2019 (COVID-19) vaccination via high-temporal resolution blood transcriptome profiling. The first vaccine dose elicited modest interferon and adaptive immune responses, which peaked on days 2 5, respectively. second dose, in contrast, sharp day 1 interferon, inflammation, erythroid cell followed a 5 plasmablast response....
Influenza infections produce a spectrum of disease severity, ranging from mild respiratory illness to failure and death. The host-response pathways associated with the progression severe influenza are not well understood.To gain insight into mechanisms infection, we analyzed leukocyte transcriptome in moderate patients healthy control subjects. Pathway analysis on differentially expressed genes was performed using topology-based pathway tool that takes account interaction between multiple...
Introduction Accurate triage is an important first step to effectively manage the clinical treatment of severe cases in a pandemic outbreak. In current COVID-19 global pandemic, there lack reliable tools assist clinicians perform accurate triage. Host response biomarkers have recently shown promise risk stratification disease progression; however, role these predicting progression patients with unknown. Here, we present protocol outlining prospective validation study evaluate biomarkers’...
Accurate determination of glucose is great importance in various biotechnological processes, food industries, and diagnosing several metabolic disorders. To this point, many methods have been developed to meet goal. Most these are based on the enzymatic oxidation glucose. However, enzymes may be deactivated different possible condition during storage use. In paper, a quartz crystal nanobalance (QCN) modified with molecularly imprinted polymer (MIP) was for online monitoring aqueous media...
Orotidine 5′-monophosphate (OMP) decarboxylase from Plasmodium falciparum (PfODCase, EC 4.1.1.23) has been overexpressed, purified, subjected to kinetic and biochemical analysis, crystallized. The native enzyme is a homodimer with subunit molecular mass of 38 kDa. saturation curve for OMP as substrate conformed Michaelis–Menten kinetics Km = 350 ± 60 nM Vmax 2.70 0.10 µmol/min/mg protein. Inhibition patterns nucleoside analogues were linear competitive respect decreasing potency inhibition...
The adsorption behavior of lead(II) from aqueous solutions utilizing TiO2/polyacrylonitrile (PAN) nanofibers was studied. TiO2/PAN were prepared by electrospinning method and characterized X-ray diffraction, Fourier transform infrared spectroscopy, thermogravimetric analysis (TGA), scanning electron microscope. These data utilized to show TiO2 nanoparticles morphology existence in web. results that the size is about 70 nm fibers diameters range 1–2 μm. changes parameters adsorbent dosage,...
Indiscriminate use of antimicrobials and antimicrobial resistance is a public health threat. IMX-BVN-1, 29-host mRNA classifier, provides two separate scores that predict likelihoods bacterial viral infections in patients with suspected acute infections. We validated the performance IMX-BVN-1 adults attending care settings influenza.We amplified response genes RNA extracted from blood by NanoString nCounter. calculated to probabilities Results were compared against infection status (no...
Patients with preexisting metabolic disorders such as diabetes are at a higher risk of developing severe coronavirus disease 2019 (COVID-19). Mitochondrion, the very organelle that controls cellular metabolism, holds key to understanding progression level. Our current study aimed understand how metabolism contributes COVID-19 outcomes. Metacore pathway enrichment analyses on differentially expressed genes (encoded by both mitochondrial and nuclear deoxyribonucleic acid (DNA)) involved in...