Back

Elucidating the kinetic and thermodynamic insight into regulation of glycolysis by lactate dehydrogenase and its impact on tricarboxylic acid cycle and oxidative phosphorylation in cancer cells

Zeng, S.; Wang, Y.; Ying, M.; Jin, C.; Ying, C.; Wang, D.; Wu, H.; Hu, X.

2026-01-19 biochemistry
10.1101/2024.06.26.600909 bioRxiv
Show abstract

Lactate dehydrogenase (LDH) stands at the intersection of pyruvate metabolism. While it is believed that inhibition of LDH redirects pyruvate to mitochondrial metabolism, suppressing glycolysis and boosting oxidative phosphorylation, the mechanism remains largely unexplored. We found that individual LDH A or B knockouts had minimal impact on glycolysis, tricarboxylic acid cycle (TCA cycle), or oxidative phosphorylation (OXPHOS). However, combining LDH knockout with LDH inhibitor GNE-140 significantly suppressed these processes. Inhibition of LDH led to an increase in free NADH concentration and a decrease in free NAD+ concentration, the reduced free NAD+ concentration inhibited GAPDH, disrupting the balance of glycolytic intermediates, which were linked with thermodynamic shift of the Gibbs free energy of reactions between phosphofructokinase 1 (PFK1) and phosphoglycerate mutase (PGAM) in the glycolytic pathway, favoring their reverse direction. This disrupted glycolysis led to impaired TCA cycle and mitochondrial respiration due to reduced pyruvate and glutamine carbon influx into TCA cycle. Under hypoxia, LDH inhibition had a stronger effect, inducing energy crisis, redox imbalance, and cancer cell death. Our study reveals LDHs intricate control over glycolysis, TCA cycle, and mitochondrial respiration, highlighting the interplay of enzyme kinetics and thermodynamics in metabolic pathways, a crucial aspect for understanding metabolic regulation. Impact statementThis study elucidates a biochemical mechanism by which lactate dehydrogenase influences glycolytic flux in cancer cells, revealing a kinetic- thermodynamic interplay that contributes to metabolic regulation.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
PLOS Computational Biology
1633 papers in training set
Top 2%
14.8%
2
Scientific Reports
3102 papers in training set
Top 5%
10.4%
3
Bulletin of Mathematical Biology
84 papers in training set
Top 0.2%
8.7%
4
iScience
1063 papers in training set
Top 3%
4.3%
5
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 19%
3.7%
6
Frontiers in Physiology
93 papers in training set
Top 1%
3.7%
7
eLife
5422 papers in training set
Top 29%
3.2%
8
Metabolites
50 papers in training set
Top 0.3%
2.8%
50% of probability mass above
9
PLOS ONE
4510 papers in training set
Top 50%
1.9%
10
Journal of Biological Chemistry
641 papers in training set
Top 2%
1.7%
11
Biochimica et Biophysica Acta (BBA) - Bioenergetics
17 papers in training set
Top 0.1%
1.7%
12
International Journal of Molecular Sciences
453 papers in training set
Top 9%
1.4%
13
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 5%
1.4%
14
Cancers
200 papers in training set
Top 3%
1.4%
15
Molecular Biology of the Cell
272 papers in training set
Top 2%
1.3%
16
Communications Biology
886 papers in training set
Top 15%
1.1%
17
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 2%
1.1%
18
Metabolomics
11 papers in training set
Top 0.3%
1.1%
19
BMC Cancer
52 papers in training set
Top 2%
0.9%
20
Mitochondrion
11 papers in training set
Top 0.1%
0.9%
21
Biotechnology and Bioengineering
49 papers in training set
Top 0.7%
0.8%
22
Biochemical Journal
80 papers in training set
Top 0.2%
0.8%
23
Computational and Structural Biotechnology Journal
216 papers in training set
Top 8%
0.8%
24
PeerJ
261 papers in training set
Top 14%
0.8%
25
Nature Communications
4913 papers in training set
Top 63%
0.7%
26
Frontiers in Molecular Biosciences
100 papers in training set
Top 5%
0.7%
27
Physical Biology
43 papers in training set
Top 2%
0.7%
28
Molecular Metabolism
105 papers in training set
Top 2%
0.7%
29
Royal Society Open Science
193 papers in training set
Top 6%
0.5%