A non-targeted metabolomics comparative study on plasma of pfizer and sinopharm COVID-19 vaccinated individuals, assessed by (TIMS-QTOF) mass spectrometry.

Unlabelled: COVID-19 is a highly contagious infectious disease that has posed a global threat, leading to a widespread pandemic characterized by multi-organ complications and failures.

Aims: The present study was conducted to evaluate the impact of Pfizer and Sinopharm vaccines on metabolomic changes and their correlations with immune pathways.

Main Methods: The study used a cross-sectional design and implemented an untargeted metabolomics-based approach.

Complexity-to-Diversity and Pseudo-Natural Product Strategies as Powerful Platforms for Deciphering Next-Generation Therapeutics.

Stereochemical and skeletal complexity are particularly important vis-à-vis the cross-talks between a small molecule and a complementary active site of a biological target. This intricate harmony is known to increase selectivity, reduce toxicity, and increase the success rate in clinical trials. Therefore, the development of novel strategies for establishing underrepresented chemical space that is rich in stereochemical and skeletal diversity is an important milestone in a drug discovery campaign.

Skin Cancer Metabolic Profile Assessed by Different Analytical Platforms.

Skin cancer, including malignant melanoma (MM) and keratinocyte carcinoma (KC), historically named non-melanoma skin cancers (NMSC), represents the most common type of cancer among the white skin population. Despite decades of clinical research, the incidence rate of melanoma is increasing globally. Therefore, a better understanding of disease pathogenesis and resistance mechanisms is considered vital to accomplish early diagnosis and satisfactory control.

Evaluation of Two Simultaneous Metabolomic and Proteomic Extraction Protocols Assessed by Ultra-High-Performance Liquid Chromatography Tandem Mass Spectrometry.

Untargeted multi-omics analysis of plasma is an emerging tool for the identification of novel biomarkers for evaluating disease prognosis, and for developing a better understanding of molecular mechanisms underlying human disease. The successful application of metabolomic and proteomic approaches relies on reproducibly quantifying a wide range of metabolites and proteins. Herein, we report the results of untargeted metabolomic and proteomic analyses from blood plasma samples following analyte extraction by two frequently-used solvent systems: chloroform/methanol and methanol-only.