Glycosylation changes are pivotal in colorectal cancer (CRC) development. The role of bisecting GlcNAc, a specific N-glycosylation type catalyzed by glycosyltransferase MGAT3, in CRC progression remains elusive. Previous studies indicated that dietary interventions can be beneficial for patients with certain congenital disorders of glycosylation. However, the impact of dietary fatty acids, such as palmitic acid (PA), on glycosylation regulation remains largely unclear. Here, we observed markedly decreased levels of bisecting GlcNAc and MGAT3 in colonic tissues of CRC patients. Downregulation of bisecting GlcNAc in CRC cells increased cell proliferation, migration, and invasion, while decreasing apoptosis. Moreover, a PA-rich diet inhibited CRC carcinogenesis in azoxymethane/dextran sodium sulfate–induced CRC mice by elevating bisecting GlcNAc levels. However, in Mgat3fl/fl Villin-Cre mice the inhibitory effects of the PA-rich diet were abolished. Intact glycopeptide analysis revealed that PA enhanced the bisecting GlcNAc modification on desmoglein 2 (DSG2). Additionally, DSG2 was identified to inhibit CRC carcinogenesis through the EGFR/AKT signaling pathway. In conclusion, dietary PA suppresses CRC carcinogenesis by regulating bisecting GlcNAc modification on DSG2, providing a direct mechanistic link between dietary fatty acids and CRC.
Lei Lei, Juan Tang, Yuejiao Lv, Bingyi Jia, Wenqing Cai, Shuangshuang Sheng, Keying Li, Zhiwen Shi, Ning Fan, Zengqi Tan, Xiang Li, Feng Guan
Usage data is cumulative from March 2026 through May 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 1,256 | 0 |
| 337 | 0 | |
| Figure | 632 | 0 |
| Supplemental data | 435 | 0 |
| Citation downloads | 128 | 0 |
| Totals | 2,788 | 0 |
| Total Views | 2,788 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.