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. 2025 Mar 11;122(10):e2404899122.
doi: 10.1073/pnas.2404899122. Epub 2025 Mar 3.

Dynamic investigation of hypoxia-induced L-lactylation

Affiliations

Dynamic investigation of hypoxia-induced L-lactylation

Jinjun Gao et al. Proc Natl Acad Sci U S A. .

Abstract

The recently identified histone modification lysine lactylation can be stimulated by L-lactate and glycolysis. Although the chemical group added upon lysine lactylation was originally proposed to be the L-enantiomer of lactate (KL-la), two isomeric modifications, lysine D-lactylation (KD-la) and N-ε-(carboxyethyl) lysine (Kce), also exist in cells, with their precursors being metabolites of glycolysis. The dynamic regulation and differences among these three modifications in response to hypoxia remain poorly understood. In this study, we demonstrate that intracellular KL-la, but not KD-la or Kce, is up-regulated in response to hypoxia. Depletion of glyoxalase enzymes, GLO1 and GLO2, had minimal impact on KD-la, Kce, or hypoxia-induced KL-la. Conversely, blocking glycolytic flux to L-lactate under hypoxic conditions by knocking out lactate dehydrogenase A/B completely abolished the induction of KL-la but increased KD-la and Kce. We further observed a correlation between the level of KL-la and hypoxia-inducible factor 1 alpha (HIF-1α) expression under hypoxic conditions and when small molecules were used to stabilize HIF-1α in the normoxia condition. Our result demonstrated that there is a strong correlation between HIF-1α and KL-la in lung cancer tissues and that patient samples with higher grade tend to have higher KL-la levels. Using a proteomics approach, we quantified 66 KL-la sites that were up-regulated by hypoxia and demonstrated that p300/CBP contributes to hypoxia-induced KL-la. Collectively, our study demonstrates that KL-la, rather than KD-la or Kce, is the prevailing lysine lactylation in response to hypoxia. Our results therefore demonstrate a link between KL-la and the hypoxia-induced adaptation of tumor cells.

Keywords: LC–MS/MS; hypoxia; lactylation; posttranslational modification (PTM).

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Conflict of interest statement

Competing interests statement:Y.Z. is a founder, board member, advisor to, and inventor on patents licensed to PTM Bio Inc. (Hangzhou, China and Chicago, IL) and Maponos Therapeutics Inc. (Chicago, IL). L.B. is a co-founder, board member, advisor to, and inventor on patents licensed to Onchilles Pharma Inc.; a co-founder, board member, and inventor on patents licensed to MacroLogic Inc.; and a co-founder and inventor on patents licensed to Maponos Therapeutics Inc. K.C. is an inventor on a patent licensed to MacroLogic Inc. The other authors declare no competing interests.

Figures

Fig. 1.
Fig. 1.
Schematic representation of lysine L-lactylation (KL-la) and its two isomers, lysine D-lactylation (KD-la) and N-ε-(carboxyethyl) lysine (Kce). Kce and KD-la are derived from two glycolysis by-products, MGO and D-LGSH, respectively. Fructose 1,6-P2: Fructose 1,6-bisphosphate; G3P: Glyceraldehyde 3-phosphate; DHAP: Dihydroxyacetone phosphate; 2PG: 2-Phosphoglycerate; PEP: Phosphoenolpyruvate.
Fig. 2.
Fig. 2.
Hypoxia induces KL-la, but not KD-la or Kce, in WT cultured cells. (A) Schematic representation of hypoxia workflow using WT MCF-7 cells. WT MCF-7 cells were challenged with hypoxia for indicated times (0 h, 12 h, 24 h, and 48 h), followed by measurement of intracellular concentrations of L-lactate, D-lactate, and MGO. Immunoblots were performed to detect intracellular KL-la, KD-la, and Kce levels. (BD) Relative intracellular levels of L-lactate, D-lactate, and MGO upon hypoxia treatment. Statistical analysis was performed by student’s t test. *** p < 0.001. (E) Immunoblots of metabolic enzymes upon hypoxia treatment. (FH) Immunoblots of KL-la, KD-la, and Kce upon hypoxia treatment. The immunoblots were run in parallel to (E) and the same amounts of samples were loaded, so the same control was used.
Fig. 3.
Fig. 3.
Hypoxia induces KL-la, but not KD-la or Kce, in glyoxalase-deficient cells. (A) HEK293T cells deficient in the glyoxalase enzymes (GLO1−/−, GLO2−/−, or GLO1/2−/−) showed similar adaptability to hypoxia to WT cells. (B) Immunoblots of HIF-1α, LDHA, GLO1, and GLO2 were performed to evaluate their expression upon hypoxia treatment in WT or glyoxalase-deficient HEK293T cells. (CF) Immunoblots of KL-la, KD-la, and Kce in WT (C), GLO1−/− (D), GLO2−/− (E), and GLO1/2 dKO (F) HEK293T cell lines. Whole-cell lysates were collected at the indicated time points of hypoxia treatment and were used for western blot analysis. The immunoblots were run in parallel to (B) and the same amounts of samples were loaded, so the same control was used.
Fig. 4.
Fig. 4.
Hypoxia-induced KL-la upregulation is abolished in LDH-deficient cells. (A) Single deletion of LDHA or LDHB did not compromise hypoxia adaptation compared to WT cells. Double knockout of LDHA and LDHB significantly reduced the cell proliferation rate under hypoxic conditions. Statistical analysis was performed by Student’s t test. (B) Immunoblots of HIF-1α, LDHA, LDHB, GLO1, and GLO2 were performed to evaluate their expression upon hypoxia treatment in either WT or LDH-deficient HepG2 cell lines. (CE) Immunoblots of KL-la (C), KD-la (D), and Kce (E) in either WT or LDH-deficient HepG2 cells with either 24 h hypoxia or 25 mM L-lactate treatment.
Fig. 5.
Fig. 5.
KL-la correlates with hypoxia and cancer malignancy. (A) Schematic showing the HIF-1α degradation pathway under normoxia and HIF-1α-induced transcription in response to hypoxia. Molecules in red (antagonists) and green (agonists) are used to modulate the HIF-1α-mediated pathways. (B) Immunoblots of whole-cell lysates of MCF-7 cells in response to VHL inhibitor, which stabilizes HIF-1α in normoxic conditions. (C) Immunoblots of whole-cell lysates of MCF-7 cells in response to hypoxia coupled with PX478, which inhibits HIF-1α-mediated transcription in response to hypoxia. (D) Representative images from human lung adenocarcinoma tissue microarrays stained for KL-la, HIF-1α, LDHA, and a negative control by omitting the primary antibody. (E) Pearson’s correlation for all tumor samples between KL-la and HIF-1α staining. (F) Pearson’s correlation for all tumor samples between KL-la and LDHA staining. (G) Distribution of staining scores for tumor and normal adjacent tissues (n = 90). (H) Distribution of staining scores for grade 1-2 tumor (n = 64) and grade 3 (n = 26) tumor tissues. Statistical analysis was performed by Student’s t test. NAT: normal adjacent tissue.
Fig. 6.
Fig. 6.
The landscape of hypoxia-regulated histone KL-la sites. (A) Schematic workflow for identifying and quantifying histone KL-la in response to hypoxia. (B) Distribution of hypoxia/normoxia ratios for the quantified histone KL-la sites. A dashed line is drawn to indicate the ratio of 1 (unchanged). (C) Map of the quantified KL-la sites and their fold changes after hypoxia treatment. A total of 67 KL-la sites are marked on the corresponding histone proteins, with colors denoting the ratio ranges (red: H/L < 1; orange: 1 ≤ H/L < 1.25; yellow: 1.25 ≤ H/L < 1.5; green: 1.5 ≤ H/L < 1.75; dark blue: 1.75 ≤ H/L < 2; purple: H/L > 2). Homologous KL-la sites with different flanking sequences are shown separately. Boxed sequences indicate globular domains.

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