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Shotgun-based proteomics of extracellular vesicles in Alzheimer’s disease reveals biomarkers involved in immunological and coagulation pathways
(
Nature Research
, 2021 , Article)
Alzheimer’s disease (AD) is the most common form of dementia and without readily available clinical biomarkers. Blood-derived proteins are routinely used for diagnostics; however, comprehensive plasma profiling is challenging ...
Characterising Alzheimer's disease through integrative NMR- and LC-MS-based metabolomics
(
Elsevier
, 2021 , Article)
BackgroundAlzheimer's Disease (AD) is a complex and multifactorial disease and novel approaches are needed to illuminate the underlying pathology. Metabolites comprise the end-product of genes, transcripts, and protein ...
Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics
(
BMC
, 2022 , Article)
Background: Early detection of small cell lung cancer (SCLC) crucially demands highly reliable markers. Growing evidence suggests that extracellular vesicles carry tumor cell-specific cargo suitable as protein markers in ...
Thrombin generation measured on ST Genesia, a new platform in the coagulation routine lab: Assessment of analytical and between-subject variation
(
Wiley Open Access
, 2022 , Article)
Background: The thrombin generation (TG) assay, which measures global coagulation, has mainly been used as a research tool to investigate thrombotic and bleeding disorders. Recently, Diagnostica Stago launched the ST ...
Mechanisms underlying the effects of caloric restriction on hypertension
(
Elsevier
, 2022 , Article)
Hypertension is a major risk factor for cardiovascular disease (CVD) as well as a major contributor to all-cause mortality and disability worldwide. The pathophysiology of hypertension is highly attributed to a dysfunctional ...
Implications of Gut Microbiota in Epithelial–Mesenchymal Transition and Cancer Progression: A Concise Review
(
MDPI
, 2022 , Article Review)
Advancement in the development of molecular sequencing platforms has identified infectious bacteria or viruses that trigger the dysregulation of a set of genes inducing the epithelial– mesenchymal transition (EMT) event. ...
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
(
Springer Nature
, 2023 , Article)
Neurodegenerative diseases damage neuromuscular tissues and deteriorate motor neurons which affects the motor capacity of the patient. Particularly the walking gait is greatly influenced by the deterioration process. Early ...
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
(
Elsevier
, 2023 , Article)
Fetal heart monitoring and early disease detection using non-invasive fetal electrocardiograms (fECG) can help substantially to reduce infant death through improved diagnosis of Coronary Heart Disease (CHD) in the fetus. ...
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
(
Elsevier
, 2024 , Article)
The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ...
Exploring the Role of microRNAs in Glioma Progression, Prognosis, and Therapeutic Strategies
(
MDPI
, 2023 , Article)
Gliomas, which arise from glial cells in the brain, remain a significant challenge due to their location and resistance to traditional treatments. Despite research efforts and advancements in healthcare, the incidence of ...