Month: May 2024

Endotrophin as an early marker of kidney outcomes in persons with type 2 diabetes: Findings from the PROVALID study

Introduction

Diabetic kidney disease (DKD) is driven by pathophysiological processes, including fibrosis. NordicEndotrophin™ (ETP), a pro-fibrotic fragment generated during collagen type VI formation, has previously been shown to be a biomarker of DKD progression1,2,3,4,5. The aim of this study was to investigate, for the first time, circulating ETP as a risk marker for kidney outcomes in persons with type 2 diabetes (T2D) being taken care of at the primary level of healthcare.

Poster

Conclusion

Plasma ETP (nordicEndotrophin™) has been identified as an independent risk marker for kidney outcomes in individuals with type 2 diabetes (T2D) with early-stage kidney disease. Higher levels of ETP were associated with a significantly increased risk of developing the kidney endpoint in persons with eGFR >90 ml/min/1.73 m2. These findings demonstrate that markers of fibrosis, such as ETP, may serve as early markers for kidney disease progression or kidney failure in persons with T2D and apparently normal kidney function.

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The novel fibrosis biomarker LG1M is prognostic for long-term readmission after AKI

Introduction

Acute Kidney Injury (AKI), survivors are at increased risk of long-term adverse outcomes, including readmission to hospital. Pathophysiological consequences of AKI, include extracellular matrix (ECM) remodeling. Tools to monitor the long-term health risk of patients after AKI are needed to improve
patient outcome.

Poster

Conclusion

Circulating levels of LG1M were elevated in AKI patients 1 year after the AKI episode and correlated with markers of kidney function in the AKI group and to a lower extent in the CKD control group. In the AKI group, LG1M was associated with the risk of readmission, even though the significance of the association was lost in adjusted analyses. This biomarker, quantifying circulating levels of a laminin fragment, may reflect injury to the basement membrane (of which laminin is a major component) after AKI, which was associated with an increased risk of worse outcome in patients that experienced an episode of AKI.

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Machine-learning classification integrating non-invasive biomarkers, clinical characteristics and pulmonary function

Introduction

Computed tomography (CT) is used for evaluating phenotypic abnormalities in chronic obstructive
pulmonary disease (COPD), yet its cost and time-intensive nature limit routine use. Developing an
easily implementable technique for classifying emphysema extent is thus essential.

This study aimed to develop a diagnostic model to classify emphysema extent in COPD
patients relying solely on easily obtained measures such as clinical characteristics and
non-invasive biomarkers.

Poster

Conclusion

Diagnostic models incorporating easily obtainable measures effectively distinguished COPD patients with high emphysema extent from those with low extent. Such models for classifying emphysema patterns have the potential for clinical implementation, aiding in diagnosis or serving as a decision-making tool to determine the necessity of further CT scans.

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Data-driven identification and investigation of comorbidity profiles in patients with chronic obstructive pulmonary disease: a multicohort study

Introduction

Comorbidities are common in chronic obstructive pulmonary disease (COPD), adversely affecting
patients’ quality of life and their disease trajectories. While previous studies have predominantly
examined individual comorbidities, there has been limited exploration of their coexistence.

This study aimed to identify comorbidity clusters among real-world cohorts of COPD patients using machine learning techniques, and to investigate clinical characteristics and mortality within these clusters.

Poster

Conclusion

This study confirms distinct comorbidity clusters in two well-characterized cohorts of patients with COPD which can be linked to different patient subgroups. In a broad COPD patient population, comorbidity profiles could hold prognostic relevance. The findings of this study enhance the understanding of the comorbidity landscape in COPD and highlights the importance of comorbidity assessment in clinical management.

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PRO-C11 and PRO-C16 are markers of intestinal fibrosis and are associated with MRE-confirmed intestinal strictures – Results from the ImageKids study

Introduction

Intestinal fibrosis and strictures is one of the most challenging complications in patients with
Crohn’s disease (CD). There is an urgent medical need for non-invasive serological biomarkers for intestinal fibrosis, as magnetic resonance enterography (MRE) is not a feasible tool for repeated
monitoring.

In this study we investigated Protein FingerprintAssays (PFA) biomarkers of collagen formation,
PRO-C11 (formation of type XI collagen), and PRO-C16 (formation of type XVI collagen) in serum from pediatric CD (pCD).

Poster

Conclusion

Based on these biomarker data from the ImageKids study, PRO-C11 and PRO-C16 demonstrate potential as important non-invasive biomarkers reflecting intestinal fibrosis and stenosis.

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CPa9-HNE: A neutrophil-derived fragment of calprotectin measured in serum can monitor endoscopic and clinical disease activity in ulcerative colitis

Introduction

Ulcerative colitis (UC) is a chronic inflammatory bowel disease (IBD) presenting in remitting ulcerations of the colonic mucosa and submucosa. Mucosal healing is therefore an important treatment target for optimal disease management. Fecal calprotectin is commonly used to monitor mucosal healing –
however, patient compliance is low due to a preference for serological markers.

In this study we aimed to investigate the association of serum calprotectin [CPa9-HNE], a non-invasive neo-epitope biomarker of true neutrophil activity, with both clinical and endoscopic disease activity in UC.

Poster

Conclusion

CPa9-HNE accurately reflected both clinical and endoscopic disease activity in ulcerative colitis, based on the UCEIS and full Mayo score. These findings highlight the potential use of CPa9-HNE as a non-invasive tool to monitor both endoscopic and clinical disease activity in UC, with the potential of guiding treatment decisions and better aligning with patient preferences.

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