Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Deep vein thrombosis (DVT) is a leading cause of morbidity and mortality after trauma. Here, we integrate plasma metabolomics and proteomics to evaluate the metabolic alterations and their function in up to 680 individuals with and without DVT after trauma (pt-DVT). We identify 28 metabolites and 2 clinical parameter clusters associated with pt-DVT. Then, we develop a panel of 9 metabolites (hexadecanedioic acid, pyruvic acid, L-Carnitine, serotonin, PE(P-18:1(11Z)/18:2(9Z,12Z)), 3-Hydroxycapric acid, 5,6-DHET, 3-Methoxybenzenepropanoic acid and pentanenitrile) that can predict pt-DVT with high performance, which can be verified in an independent cohort. Furthermore, the integration analysis of metabolomics and proteomics data indicates that the upregulation of glycolysis/gluconeogenesis-TCA cycle may promote thrombosis by regulating ROS levels in red blood cells, suggesting that interfering with this process might be potential therapeutic strategies for pt-DVT. Together, our study comprehensively delineates the metabolic and hematological dysregulations for pt-DVT, and provides potential biomarkers for early detection.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11380666PMC
http://dx.doi.org/10.1038/s41467-024-52262-0DOI Listing

Publication Analysis

Top Keywords

deep vein
8
vein thrombosis
8
metabolomics proteomics
8
pt-dvt
5
integrated landscape
4
landscape plasma
4
plasma metabolism
4
metabolism proteome
4
proteome patients
4
patients post-traumatic
4

Similar Publications

Background: Obesity is associated with an increased risk of complications after total knee arthroplasty (TKA) and unicompartmental knee arthroplasty (UKA), particularly in Western populations. However, the effect of severe obesity (body mass index [BMI] ≥ 35 kg/m) on postoperative complications in Japanese patients remains unclear.

Methods: We conducted a retrospective cohort study using Japan's Diagnosis Procedure Combination (DPC) database, including patients who underwent TKA or UKA between April 2016 and March 2023.

View Article and Find Full Text PDF

Objective: This study aims to develop a robust, multi-task deep learning framework that integrates vessel segmentation and radiomic analysis for the automated classification of four retinal conditions- diabetic retinopathy (DR), hypertensive retinopathy (HR), papilledema, and normal fundus-using fundus images.

Materials: AND.

Methods: A total of 2,165 patients from eight medical centers were enrolled.

View Article and Find Full Text PDF

Iliofemoral deep vein thrombosis (IFDVT) is associated with potential for poor outcomes despite optimal anticoagulation therapy. To characterize the real-world management of IFDVT in an Australian population. Retrospective evaluation of IFDVT cases managed at Northern Health, Australia from January 2011 to December 2020 was performed and compared to non-iliofemoral lower limb DVTs (non-IFDVT) (n = 1793).

View Article and Find Full Text PDF

Total hip arthroplasty (THA) via the direct anterior approach (DAA) is a preferred surgical technique due to its benefits, including reduced soft tissue disruption and faster recovery. However, obesity, defined as a body mass index (BMI) ≥ 30 kg/m, poses unique challenges in DAA-THA, increasing the risk of complications and technical difficulties. This systematic review aims to assess the clinical and functional outcomes, complication rates, and reoperation rates in obese patients undergoing DAA-THA compared to non-obese patients.

View Article and Find Full Text PDF

Purpose: To evaluate the role of optical coherence tomography angiography (OCTA) in differentiating ischemic and non-ischemic central retinal vein occlusion (CRVO).

Methods: This prospective observational study included 72 eyes with CRVO (36 ischemic, 36 non-ischemic), all presenting with macular edema. Participants underwent clinical evaluation, fundus fluorescein angiography (FFA), and OCTA imaging.

View Article and Find Full Text PDF