PI3K-dependent Reprogramming of Hexokinase Isoforms Regulates B Lymphocyte Metabolism
Bibliographic record
Abstract
Abstract The PI3K signalling pathway is known to regulate B cell metabolic programming upon activation, but the mechanisms involved are not well understood. Here we find that the PI3K pathway controls reprogramming of hexokinases (HKs), the enzymes that convert glucose into glucose-6-phosphate as a key rate-limiting step of glycolysis and other metabolic pathways. In primary mouse B cells, PI3K pathway inhibition substantially impaired the activation-induced increase in extracellular acidification rates (ECAR), a measure of glycolysis. In contrast, B cells isolated from PI3Kdelta gain-of-function mutant mice exhibit elevated ECAR. We find that B cell activation substantially elevates protein levels of HK2 and HK3 isoforms, but not HK1, in a PI3K-dependant manner. PI3K or mTOR inhibition significantly reduced induction of HK2 and HK3 expression, whereas Akt inhibition did not affect HK isoform expression. In human B lymphoma cells, HK isoforms differ significantly in their degree of mitochondrial localization, with HK1 being mitochondrial, HK3 being cytoplasmic and HK2 present in both mitochondria and cytoplasm. To assess whether HK isoforms have unique non-redundant functions, HK2-deficient B lymphoma cells were generated and were found to exhibit decreased ECAR as well as significant changes in metabolomic profile, despite normal expression and localization of HK1 and HK3. Taken together, our study reveals that PI3K-dependant reprogramming of hexokinase isoforms can impact on B cell glycolysis and other metabolic pathways. Studies in progress are examining the functional importance of HK2 in antibody responses using mice with B cell-specific deletion of this enzyme.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".