Publications by authors named "K Guerti"
Patients with non-infectious systemic inflammation may suffer from one of many diseases, including hyperinflammation (HI), autoinflammatory disorders (AID), and systemic autoimmune disease (AI). Despite their clinical overlap, the pathophysiology and patient management differ between these disorders. We aimed to investigate blood biomarkers able to discriminate between patient groups.
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- Cardiac fibrosis is a key indicator of poor long-term outcomes in heart transplant patients, and this study examined its clinical determinants and biomarkers using cardiac magnetic resonance imaging (CMR).
- Researchers studied 48 heart transplant recipients, focusing on factors like donor-recipient weight mismatch and how it correlates with types of cardiac fibrosis.
- The findings revealed that weight mismatch is linked to both focal and interstitial fibrosis, with B-type natriuretic peptide (BNP) being the only biomarker associated with interstitial fibrosis.
Identification of DAGLA as an autoantibody target in cerebellar ataxia.
J Neurol Neurosurg Psychiatry
October 2024
Background: We aimed to investigate the clinical, imaging and fluid biomarker characteristics in patients with antidiacylglycerol lipase alpha (DAGLA)-autoantibody-associated cerebellitis.
Methods: Serum and cerebrospinal fliud (CSF) samples from four index patients were subjected to comprehensive autoantibody screening by indirect immunofluorescence assay (IIFA). Immunoprecipitation, mass spectrometry and recombinant protein assays were used to identify the autoantigen.
Article Synopsis
- The study focuses on improving the early diagnosis of pediatric rheumatic diseases by analyzing gene expression in blood samples and applying machine learning to develop predictive models.
- RNA sequencing was performed on blood from children with rheumatic diseases, viral infections, and controls, leading to the development of classification models that successfully distinguished between various disease groups.
- Results indicated that certain classifiers achieved high accuracy in differentiating rheumatic conditions, highlighting the role of innate immune responses, and suggesting blood transcriptomics combined with machine learning could aid in clinical diagnostics.
Introduction: Acute kidney injury (AKI) is a frequent complication among patients in the intensive care unit (ICU). The limitations of serum Cr (sCr) in timely detecting AKI are well known. Beta-trace protein (BTP) is emerging as a novel endogenous glomerular filtration rate marker.
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