This database is in its initial stage and aims to serve as a vital resource for researchers in the field of kidney and cardiorenal physiology. It will allow users to easily explore genes and metabolic changes from various studies at both whole-kidney and cell-cluster levels in one place. In the near future, it will incorporate analyzed data from major studies in kidney research. We also welcome contributions from researchers interested in helping to build and expand this database. For any inquiries, please reach out to us at rtiwari@usf.edu or kidneymet.flux@gmail.com.