APA (7th ed.) Citation

YX, G., L, W., LX, K., YY, S., JA, Z., XL, W., . . . NN, L. (2026). Longitudinal multi-omics analysis identify multi-kingdom microbiome-host interaction dynamics and diagnostic biomarkers of postoperative infection after kidney transplantation. NPJ biofilms and microbiomes. https://doi.org/10.1038/s41522-026-01099-0

Chicago Style (17th ed.) Citation

YX, Guan, et al. "Longitudinal Multi-omics Analysis Identify Multi-kingdom Microbiome-host Interaction Dynamics and Diagnostic Biomarkers of Postoperative Infection After Kidney Transplantation." NPJ Biofilms and Microbiomes 2026. https://doi.org/10.1038/s41522-026-01099-0.

MLA (9th ed.) Citation

YX, Guan, et al. "Longitudinal Multi-omics Analysis Identify Multi-kingdom Microbiome-host Interaction Dynamics and Diagnostic Biomarkers of Postoperative Infection After Kidney Transplantation." NPJ Biofilms and Microbiomes, 2026, https://doi.org/10.1038/s41522-026-01099-0.