A reevaluation of the roles of hexokinase I and II in the heart
Bibliographic record
Abstract
Hexokinase is responsible for glucose phosphorylation, a process fundamental to regulating glucose uptake. In some tissues, hexokinase translocates to the mitochondria, thereby increasing its efficiency and decreasing its susceptibility to product inhibition. It may also decrease free radical formation in the mitochondria and prevent apoptosis. Whether hexokinase translocation occurs in the heart is controversial; here, using immunogold labeling for the first time, we provide evidence for this process. Rat hearts (6 groups, n = 6/group), perfused with either glucose- or glucose + oleate (0.4 mmol/l)-containing buffer, were exposed to 30-min insulin stimulation, ischemia, or control perfusion. Hexokinase I (HK I) and hexokinase II (HK II) distributions were then determined. In glucose-perfused hearts, HK I-mitochondrial binding increased from 0.41 +/- 0.04 golds/mm in control hearts to 0.71 +/- 0.10 golds/mm after insulin and to 1.54 +/- 0.38 golds/mm after ischemia (P < 0.05). Similarly, HK II-mitochondrial binding increased from 0.16 +/- 0.02 to 0.53 +/- 0.08 golds/mm with insulin and 0.44 +/- 0.07 golds/mm after ischemia (P < 0.05). Under basal conditions, the fraction of HK I that was mitochondrial bound was five times greater than for HK II; insulin and ischemia caused a fourfold increase in HK II binding but only a doubling in HK I binding. Oleate decreased hexokinase-mitochondrial binding and abolished insulin-mediated translocation of HK I. Our data show that mitochondrial-hexokinase binding increases under insulin or ischemic stimulation and that this translocation is modified by oleate. These events are isoform specific, suggesting that HK I and HK II are independently regulated and implying that they perform different roles in cardiac glucose regulation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".