The Human Serum Metabolome is a comprehensive database of metabolites found in human serum, compiled through a combination of experimental and literature-based research. The study aimed to characterize the human serum metabolome using various analytical techniques, including NMR, GC-MS, LC-MS, and DFI-MS/MS, to identify and quantify a wide range of metabolites. The database includes 4229 confirmed and probable human serum compounds, their concentrations, and links to disease associations. The research highlights the importance of serum as a carrier of small molecules and its role in transporting nutrients, hormones, and metabolic wastes. The study also addresses the challenges in metabolomics, such as the lack of standardized databases for compound identification, and emphasizes the need for a centralized repository of metabolite information. The results show that serum contains a variety of metabolites, including lipids, amino acids, and other small molecules, with concentrations varying widely. The study provides a detailed overview of the metabolites present in serum, their concentrations, and their potential disease associations. The database is a valuable resource for researchers in metabolomics and blood research, offering insights into the composition and variability of the human serum metabolome. The study also discusses the differences between serum and plasma, noting that serum lacks clotting proteins and has a different composition due to the clotting process. The research underscores the importance of understanding the serum metabolome for clinical applications and the development of new diagnostic tools. The study also highlights the challenges in quantifying metabolites and the need for further research to improve the accuracy and comprehensiveness of metabolomic studies. The database is freely available and provides a comprehensive resource for researchers to explore the human serum metabolome.The Human Serum Metabolome is a comprehensive database of metabolites found in human serum, compiled through a combination of experimental and literature-based research. The study aimed to characterize the human serum metabolome using various analytical techniques, including NMR, GC-MS, LC-MS, and DFI-MS/MS, to identify and quantify a wide range of metabolites. The database includes 4229 confirmed and probable human serum compounds, their concentrations, and links to disease associations. The research highlights the importance of serum as a carrier of small molecules and its role in transporting nutrients, hormones, and metabolic wastes. The study also addresses the challenges in metabolomics, such as the lack of standardized databases for compound identification, and emphasizes the need for a centralized repository of metabolite information. The results show that serum contains a variety of metabolites, including lipids, amino acids, and other small molecules, with concentrations varying widely. The study provides a detailed overview of the metabolites present in serum, their concentrations, and their potential disease associations. The database is a valuable resource for researchers in metabolomics and blood research, offering insights into the composition and variability of the human serum metabolome. The study also discusses the differences between serum and plasma, noting that serum lacks clotting proteins and has a different composition due to the clotting process. The research underscores the importance of understanding the serum metabolome for clinical applications and the development of new diagnostic tools. The study also highlights the challenges in quantifying metabolites and the need for further research to improve the accuracy and comprehensiveness of metabolomic studies. The database is freely available and provides a comprehensive resource for researchers to explore the human serum metabolome.