bioRxivCancer BiologyPreprint
BCL2L13 Influences Autophagy and Ceramide Metabolism without Affecting Temozolomide Resistance in Glioblastoma
Courtney Jessica Clark, Amir Barzegar BehrooziD, Simone C. da Silva RosaiD, Kianoosh NaghibzadehiD, Mehdi EshraghiiD, Joadi Jacobs, Xiaohui Weng, Abhay SrivastavaiD, Rui Miguel Pinheiro VitorinoiD, Sudharsana Rao AndeiD, Amir RavandiiD, Sanjiv DhingraiD, Stevan PeciciD, Donald Miller, Shahla ShojaeiiD, Saeid GhavamiiD
Abstract
Temozolomide (TMZ) resistance in glioblastoma (GBM) arises through metabolic rewiring that links mitochondrial function, autophagy balance, and sphingolipid metabolism. TMZ resistant (R) U251 cells exhibited suppressed apoptosis and complete blockade of autophagy flux, evidenced by LC3II and p62 accumulation and insensitivity to Bafilomycin A1. BCL2L13, strongly upregulated in R cells, emerged as a dual regulator of mitophagy and ceramide metabolism. BCL2L13 knockdown (KD) produced opposite effects in TMZ sensitive (NR) and resistant cells: in NR cells, KD elevated LC3II, reduced respiratory reserve, and triggered compensatory lipid synthesis; in R cells, KD decreased LC3II without restoring flux or TMZ sensitivity. Lipidomic profiling revealed that BCL2L13 loss reactivated CerS6 in NR cells, increasing C16:0 and mid-chain ceramides, while relieving CerS2 inhibition in R cells, elevating very long chain (C22 to C24) and glycosylated ceramides. These distinct sphingolipid signatures were confirmed by PLS-DA and KEGG enrichment, which highlighted steroid hormone, arachidonic, and linoleic acid metabolism in NR KD cells versus neuroactive ligand-receptor and signaling pathways in R KD cells. Together, these findings position BCL2L13 as a molecular integrator of mitochondrial respiration, autophagy flux, and CerS-dependent lipid remodeling, unveiling a context-specific metabolic mechanism that supports GBM cell survival under chemotherapeutic stress.
- organism: human
- assay: proteomics
- assay: metabolomics
- research focus: metabolism & bioenergetics
- research focus: cell signaling & trafficking
- research focus: clustering
- approach: statistical model
- Citations
- 5
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