Integrative analysis of RNA-Seq data and machine learning approaches to identify Biomarkers for Rhizoctonia solani resistance in sugar beet

Biochemistry and Biophysics Reports, Journal Year: 2025, Volume and Issue: 41, P. 101920 - 101920

Published: Jan. 19, 2025

Language: Английский

Rapid diagnosis and severity scale of post-COVID condition using advanced spectroscopy

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2024, Volume and Issue: 328, P. 125474 - 125474

Published: Nov. 24, 2024

The COVID-19 pandemic has resulted in a persistent health challenge known as Post-COVID Condition (PCC), characterized by symptoms lasting at least three months after the initial SARS-CoV-2 infection and potentially persisting for several years. While studies on PCC using lipidomics proteomics have been conducted, these methods are costly time-consuming. comprehensive analysis of UV-VIS-NIR-MIR spectroscopy is explored here an alternative rapid cheap diagnosis quantification severity PCC. Blood samples from 65 patients, previously analyzed lipidomic proteomic studies, along with new were examined to develop model that quantifies based solely spectrophotometric data. Significant spectral variability was observed UV-VIS region, particularly between 297 600 nm, correlating strongly patient symptoms. Unsupervised clustering algorithms this region effectively differentiated asymptomatic symptomatic achieving Jaccard similarity score 0.667 when compared clinical symptom classifications. Comparative indicated captures clinically relevant biochemical information. results developed work quantify demonstrated robustness data, underscoring method's potential rapid, non-invasive, cost-effective diagnostic tool. This study highlights strengths spectroscopic techniques, suggesting their suitability widespread application diagnosing monitoring PCC, emphasizes need further refinement integration into healthcare practice, implementation portable devices.

Language: Английский

In Search of Candidate Protein Biomarkers Related to COVID‐19 in Solid Tissues and Non‐Blood Fluids: An Update

PROTEOMICS - CLINICAL APPLICATIONS, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 30, 2024

During COVID-19, significant changes in protein abundance can be linked with disease-related processes. The mass spectrometry-based proteomics of COVID-19-related biomarkers help the prognosis and diagnosis this severe disease.

Language: Английский