Abstract
Aerobic glycolysis in cancer cells, also known as the ‘Warburg effect’, is driven by hyperactivity of lactate dehydrogenase A (LDHA). LDHA is thought to be a substrate-regulated enzyme, but it is unclear whether a dedicated intracellular protein also regulates its activity. Here, we identify the human tumor suppressor folliculin (FLCN) as a binding partner and uncompetitive inhibitor of LDHA. A flexible loop within the amino terminus of FLCN controls movement of the LDHA active-site loop, tightly regulating its enzyme activity and, consequently, metabolic homeostasis in normal cells. Cancer cells that experience the Warburg effect show FLCN dissociation from LDHA. Treatment of these cells with a decapeptide derived from the FLCN loop region causes cell death. Our data suggest that the glycolytic shift of cancer cells is the result of FLCN inactivation or dissociation from LDHA. Together, FLCN-mediated inhibition of LDHA provides a new paradigm for the regulation of glycolysis.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Data availability
The MS proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE51 partner repository with the dataset identifier PXD018410 (www.ebi.ac.uk/pride/). Source data are provided with this paper.
References
Hanahan, D. & Weinberg, R. A. Hallmarks of cancer: the next generation. Cell 144, 646–674 (2011).
Epstein, T., Gatenby, R. A. & Brown, J. S. The Warburg effect as an adaptation of cancer cells to rapid fluctuations in energy demand. PLoS ONE 12, e0185085 (2017).
Warburg, O., Wind, F. & Negelein, E. The metabolism of tumors in the body. J. Gen. Physiol. 8, 519–530 (1927).
Le, A. et al. Inhibition of lactate dehydrogenase A induces oxidative stress and inhibits tumor progression. Proc. Natl Acad. Sci. USA 107, 2037–2042 (2010).
Fantin, V. R., St-Pierre, J. & Leder, P. Attenuation of LDH-A expression uncovers a link between glycolysis, mitochondrial physiology and tumor maintenance. Cancer Cell 9, 425–434 (2006).
Birt, A. R., Hogg, G. R. & Dubé, W. J. Hereditary multiple fibrofolliculomas with trichodiscomas and acrochordons. Arch. Dermatol. 113, 1674–1677 (1977).
Schmidt, L. S. & Linehan, W. M. FLCN: the causative gene for Birt–Hogg–Dubé syndrome. Gene 640, 28–42 (2018).
Lawrence, R. E. et al. Structural mechanism of a Rag GTPase activation checkpoint by the lysosomal folliculin complex. Science 366, 971–977 (2019).
Napolitano, G. et al. A substrate-specific mTORC1 pathway underlies Birt–Hogg–Dubé syndrome. Nature 585, 597–602 (2020).
Preston, R. S. et al. Absence of the Birt–Hogg–Dubé gene product is associated with increased hypoxia-inducible factor transcriptional activity and a loss of metabolic flexibility. Oncogene 30, 1159–1173 (2011).
Yan, M. et al. The tumor suppressor folliculin regulates AMPK-dependent metabolic transformation. J. Clin. Invest. 124, 2640–2650 (2014).
Tsun, Z. Y. et al. The Folliculin tumor suppressor is a GAP for the RagC/D GTPases that signal amino acid levels to mTORC1. Mol. Cell 52, 495–505 (2013).
Petit, C. S., Roczniak-Ferguson, A. & Ferguson, S. M. Recruitment of folliculin to lysosomes supports the amino acid-dependent activation of Rag GTPases. J. Cell Biol. 202, 1107–1122 (2013).
Fan, J. et al. Tyrosine phosphorylation of lactate dehydrogenase A is important for NADH/NAD+ redox homeostasis in cancer cells. Mol. Cell Biol. 31, 4938–4950 (2011).
Jin, L. et al. Phosphorylation-mediated activation of LDHA promotes cancer cell invasion and tumour metastasis. Oncogene 36, 3797–3806 (2017).
Read, J. A., Winter, V. J., Eszes, C. M., Sessions, R. B. & Brady, R. L. Structural basis for altered activity of M- and H-isoenzyme forms of human lactate dehydrogenase. Proteins 43, 175–185 (2001).
Yamamoto, S. & Storey, K. B. Dissociation–association of lactate dehydrogenase isozymes: influences on the formation of tetramers versus dimers of M4-LDH and H4-LDH. Int. J. Biochem. 20, 1261–1265 (1988).
Zheng, Y., Guo, S., Guo, Z. & Wang, X. Effects of N-terminal deletion mutation on rabbit muscle lactate dehydrogenase. Biochemistry (Mosc.) 69, 401–406 (2004).
Unkles, S. E. et al. Physiological and biochemical characterization of AnNitA, the Aspergillus nidulans high-affinity nitrite transporter. Eukaryot. Cell 10, 1724–1732 (2011).
Yamamoto, S. & Storey, K. B. Dissociation–association of lactate dehydrogenase isozymes: influences on the formation of tetramers versus dimers of M4-LDH and H4-LDH. Int. J. Biochem. 20, 1261–1265 (1988).
Valvona, C. J., Fillmore, H. L., Nunn, P. B. & Pilkington, G. J. The regulation and function of lactate dehydrogenase A: therapeutic potential in brain tumor. Brain Pathol. 26, 3–17 (2016).
Tarmy, E. M. & Kaplan, N. O. Kinetics of Escherichia coli B d-lactate dehydrogenase and evidence for pyruvate-controlled change in conformation. J. Biol. Chem. 243, 2587–2596 (1968).
Jiang, G. R., Nikolova, S. & Clark, D. P. Regulation of the ldhA gene, encoding the fermentative lactate dehydrogenase of Escherichia coli. Microbiology 147, 2437–2446 (2001).
Yamamoto, S. & Storey, K. B. Influence of glycerol on the activity and tetramer–dimer state of lactate dehydrogenase isozymes. Int. J. Biochem. 20, 1267–1271 (1988).
Boháčová, V., Dočolomanský, P., Breier, A., Gemeiner, P. & Ziegelhöffer, A. Interaction of lactate dehydrogenase with anthraquinone dyes: characterization of ligands for dye–ligand chromatography. J. Chromatogr. B Biomed. Sci. Appl. 715, 273–281 (1998).
Cahn, R. D., Zwilling, E., Kaplan, N. O. & Levine, L. Nature and development of lactic dehydrogenases: the two major types of this enzyme form molecular hybrids which change in makeup during development. Science 136, 962–969 (1962).
Shen, K. et al. Cryo-EM structure of the human FLCN-FNIP2–Rag–Ragulator complex. Cell 179, 1319–1329 (2019).
Schopper, S. et al. Measuring protein structural changes on a proteome-wide scale using limited proteolysis-coupled mass spectrometry. Nat. Protoc. 12, 2391–2410 (2017).
Woodford, M. R., Chen, V. Z., Backe, S. J., Bratslavsky, G. & Mollapour, M. Structural and functional regulation of lactate dehydrogenase-A in cancer. Future Med. Chem. 12, 439–455 (2020).
el Hawrani, A. S., Moreton, K. M., Sessions, R. B., Clarke, A. R. & Holbrook, J. J. Engineering surface loops of proteins—a preferred strategy for obtaining new enzyme function. Trends Biotechnol. 12, 207–211 (1994).
Clarke, A. R. et al. Site-directed mutagenesis reveals role of mobile arginine residue in lactate dehydrogenase catalysis. Nature 324, 699–702 (1986).
Nookala, R. K. et al. Crystal structure of folliculin reveals a hidDENN function in genetically inherited renal cancer. Open Biol. 2, 120071 (2012).
Nickerson, M. L. et al. Mutations in a novel gene lead to kidney tumors, lung wall defects, and benign tumors of the hair follicle in patients with the Birt–Hogg–Dubé syndrome. Cancer Cell 2, 157–164 (2002).
Yang, Y. et al. The UOK 257 cell line: a novel model for studies of the human Birt–Hogg–Dubé gene pathway. Cancer Genet. Cytogenet. 180, 100–109 (2008).
Linehan, W. M. et al. The metabolic basis of kidney cancer. Cancer Discov. 9, 1006–1021 (2019).
Rai, G. et al. Pyrazole-based lactate dehydrogenase inhibitors with optimized cell activity and pharmacokinetic properties. J. Med. Chem. 63, 10984–11011 (2020).
Paladino, A. et al. Chemical perturbation of oncogenic protein folding: from the prediction of locally unstable structures to the design of disruptors of Hsp90-client interactions. Chemistry 26, 9459–9465 (2020).
Fosgerau, K. & Hoffmann, T. Peptide therapeutics: current status and future directions. Drug Discov. Today 20, 122–128 (2015).
da Silva, N. F. et al. Analysis of the Birt–Hogg–Dubé (BHD) tumour suppressor gene in sporadic renal cell carcinoma and colorectal cancer. J. Med. Genet. 40, 820–824 (2003).
Khoo, S. K. et al. Inactivation of BHD in sporadic renal tumors. Cancer Res. 63, 4583–4587 (2003).
Kahnoski, K. et al. Alterations of the Birt–Hogg–Dubé gene (BHD) in sporadic colorectal tumours. J. Med. Genet. 40, 511–515 (2003).
Nagy, A., Zoubakov, D., Stupar, Z. & Kovacs, G. Lack of mutation of the folliculin gene in sporadic chromophobe renal cell carcinoma and renal oncocytoma. Int. J. Cancer 109, 472–475 (2004).
Gad, S. et al. Mutations in BHD and TP53 genes, but not in HNF1β gene, in a large series of sporadic chromophobe renal cell carcinoma. Br. J. Cancer 96, 336–340 (2007).
Rai, G. et al. Discovery and optimization of potent, cell-active pyrazole-based inhibitors of lactate dehydrogenase (LDH). J. Med. Chem. 60, 9184–9204 (2017).
Wang, Y. et al. Fascin inhibitor increases intratumoral dendritic cell activation and anti-cancer immunity. Cell Rep. 35, 108948 (2021).
Cox, J. & Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat. Biotechnol. 26, 1367–1372 (2008).
Woodford, M. R. et al. The FNIP co-chaperones decelerate the Hsp90 chaperone cycle and enhance drug binding. Nat. Commun. 7, 12037 (2016).
Gay, R. J., McComb, R. B. & Bowers, G. N. Jr Optimum reaction conditions for human lactate dehydrogenase isoenzymes as they affect total lactate dehydrogenase activity. Clin. Chem. 14, 740–753 (1968).
Powers, J. L., Kiesman, N. E., Tran, C. M., Brown, J. H. & Bevilacqua, V. L. H. Lactate dehydrogenase kinetics and inhibition using a microplate reader. Biochem. Mol. Biol. Educ. 35, 287–292 (2007).
Cer, R. Z., Mudunuri, U., Stephens, R. & Lebeda, F. J. IC50-to-Ki: a web-based tool for converting IC50 to Ki values for inhibitors of enzyme activity and ligand binding. Nucleic Acids Res. 37, W441–W445 (2009).
Vizcaino, J. A. et al. 2016 update of the PRIDE database and its related tools. Nucleic Acids Res. 44, D447–D456 (2016).
Acknowledgements
We thank B. A. Knutson, R. A. Oot, S. Wilkens and L. Neckers for assistance and scientific discussions as well as D. E. Post of the Upstate Cancer Center Biorepository. This work was partly supported with federal funds from the Frederick National Laboratory for Cancer Research, National Institutes of Health, under contract no. HHSN26120080001E (L.S.S.) and with funds from SUNY Upstate Medical University, Upstate Cancer Center and the Upstate Foundation (M.M.).
Author information
Authors and Affiliations
Contributions
M.R.W., A.J.B.-W., R.A.S., S.J.B., A.R.B., F.H., P.K., A.G., D.R.L., M.C., S.A.S., S.M.J., A.B. and M.M. performed experiments. M.R.W., A.J.B.-W., G.C., T.A.H., W.G.S.-S., S.N.L., L.S.S., W.M.L., A.B., D.B., G.B. and M.M. designed experiments. M.R.W., R.A.S., A.B., D.B., G.B. and M.M. wrote the manuscript. M.R.W. and M.M. conceived the project.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Peer review information Nature Structural & Molecular Biology thanks Filippo Minutolo and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
Extended Data Fig. 1 The tumor suppressor FLCN mediated binding and inhibition of LDHA.
a) Gene Ontology term analysis of FLCN proteomic data using Panther v15.0 (pantherdb.org). b) LDHA-FLAG IP from HEK293 cells immunoblotted with anti-FLCN antibody. c) Titration of FLCN-FLAG expression in HEK293 cells immunoblotted with anti-pTyr10-LDHA antibody. d) Titration of siRNA targeting FLCN in HEK293 cells immunoblotted with anti-pTyr10-LDHA antibody. Bar chart contains densitometry of pTyr10-LDHA:FLCN ratio. Unpaired Student’s t-test, (p < 2.9x10−10, n=3). Data shown as mean ± s.d.
Extended Data Fig. 2 Inherent specificity of FLCN for binding to dimeric LDHA.
a) IP of endogenous FLCN from whole cell lysates of LDHA or LDHB knockout HAP1 cells. Immunoblotted with anti-FLCN antibody. b) Western blot of siRNA knockdown of FLCN in Fig. 1d. c) Tagged LDHA and LDHB subunits were consecutively immunoprecipitated and immunoblotted with anti-FLCN. d) Lysates from Extended Data Fig. 1c subjected to Native PAGE. Bar chart contains ratio of densitometry of largest LDHA oligomer:GAPDH (see Extended Data Fig. 1c; Unpaired Student’s t-test, n=3). Data shown as mean ± s.d. e) IP of FLCN from HEK293 cells subjected to Native PAGE. SE = short exposure of immunoblot, LE = long exposure of immunoblot.
Extended Data Fig. 3 The tumor suppressor FLCN specifically binds to the amino and carboxy domain of LDHA.
a) Sequence alignment of human LDHA and human LDHB using https://clustalw.ddbj.nig.ac.jp/. The red N- and blue C-terminal residues that were swapped to generate the N, C and NC chimeric constructs used in Extended Data Fig. 2c are highlighted. The active site loop (99–110) is colored cyan. b) LDHA tetramer (PDB ID: 1i10) in ribbon (top) and surface (bottom) models represented in the standard view (left) and 90° rotated view (right). The N-terminus (residues 1–22) is highlighted in red and the C-terminus (residues 294–332) is highlighted in blue. Note the proximity of the C-terminal helix (blue) to the active site loop (residues 99–110; cyan) within each subunit. In the tetrameric arrangement, the N- and C-terminal residues of adjacent subunits form a continuous surface. Structure rendered using PyMOL 2.3. c) LDHA/LDHB chimeric constructs were transfected into HEK293 cells and immunoprecipitated. Co-IP of FLCN was detected by immunoblot.
Extended Data Fig. 4 FLCN interference with cofactor binding to LDHA.
a) Immunoblot of anti-FLCN IPs and whole cell extracts following exogenous addition of pyruvate to HEK293s (6 h treatment duration; n=3). SE = short exposure of immunoblot, LE = long exposure of immunoblot. b) Immunoblot of anti-FLCN IPs and whole cell extracts following exogenous addition of lactate to HEK293s (6 h treatment durations; n=3). c) Pulldown of LDHA from cell lysate expressing EV or FLCN-FLAG using Cibacron blue agarose was evaluated by immunoblot. Bar chart represents the ratio of Pulldown:Input normalized to EV. Unpaired Student’s t-test, (p < 3.3x10-8; n=3). Data shown as mean ± s.d.
Extended Data Fig. 5 FLCN-10 peptide is able to effectively inhibit dimeric but not tetrameric LDHA.
a–d) Immunoprecipitation of transiently expressed short segments of FLCN-FLAG protein implies the critical interacting region with LDHA. e) Ka of LDHA with FLCN-1 peptide (See Fig. 2c), measured by fluorescence polarization anisotropy (n=3). f) Ka plotted against LDHA activity in the presence of peptides. FLCN-1 peptide (blue) and FLCN-10 peptide (red) are highlighted. g) LDHA activity at 10 ng/µl (predominantly dimeric) and 500 ng/µl (predominantly tetrameric) in the presence of increasing amounts of recombinant FLCN protein or FLCN-10 peptide (n=3). Data shown as mean ± s.d. h) Data from Extended Data Fig. 5g presented as percent activity. Unpaired Student’s t-test, n=3. Data shown as mean ± s.d.
Extended Data Fig. 6 FLCN-10 peptide uncompetitively inhibits LDHA.
a) Michaelis-Menten kinetics of LDHA in the presence of FLCN protein, FLCN-10 peptide, or FX11 (n=3). Data shown as mean ± s.d. b) FLCN-10 is an uncompetitive inhibitor of LDHA based on Lineweaver-Burke plot (n=3). c–e) IC50 measurements for LDHA in the presence of FLCN protein, FLCN-10 peptide, or FX-11 (n=3). Data shown as mean ± s.d. f) Summary of LDHA enzyme kinetics. g) LDHA-R106-FLAG mutants were transiently transfected and immunoprecipitated from HEK293 cells. FLCN interaction assessed by immunoblotting. Binding to FLCN-10-Biotin peptide was assessed by Streptavidin pulldown.
Extended Data Fig. 7 inhibitory function of FLCN toward LDHA and its physiological outcome.
a) Western blot confirming transfection of FLCN-WT-FLAG and FLCN-M222A-FLAG or b) FLCN-WT-FLAG and FLCN-F226A-FLAG in UOK257 cells in Fig. 3d. c) Western blot confirming transfection of FLCN-WT-FLAG, FLCN-M222A-FLAG, or FLCN-F226A-FLAG in Fig. 3f. d) Representative images of UOK257 colonies in soft agar from Fig. 3f. Scale bar = 100 µM. e) LDHA activity in UOK257 cells transfected with EV, WT FLCN, FLCN-F118D-FLAG and FLCN-R164A-FLAG. Unpaired Student’s t-test, n=3. Data shown as mean ± s.d. *P < 0.05, **P < 0.005, ***P < 0.001.
Extended Data Fig. 8 FLCN-10 peptide is cell-permeable and inhibits LDHA.
a) Fluorescence microscopy of HEK293 cells treated with 1 µM Rhodamine B-labeled peptides from Fig. 2b. Peptides that are resident after two hours treatment have been denoted with a red number and box. NT = No treatment. Scale bar = 10 µM. b) HEK293 cells treated with peptides from Extended Data Fig. 8a. Bar chart represents fold change of pTyr10-LDHA normalized to NT. Data shown as mean ± s.d. (n=3).
Extended Data Fig. 9 FLCN-10 peptide inhibits LDHA activity and induces cell death in ccRCC cell lines.
a) Caki-1 cells treated for 2 h with FLCN-10 or FLCN-13 were blotted using anti-cleaved caspase-3 and anti-pTyr10-LDHA. b) LDHA activity in HEK293 cells following 2 h treatment with FLCN-10 peptide. c) d) Flow cytometric assessment of cell death in renal cell lines following 1 µM FLCN-10 for 1 or 2 h (Extended Data Fig. 9c) or 0.1 µM or 1 µM FLCN-10 treatment for 2 h (Extended Data Fig. 9d) as determined by Annexin V/Propidium iodide staining. Representative of three independent experiments. e) Immunoblot of whole cell lysates following overexpression of FLAG-tagged FLCN-WT, FLCN-M222A, or FLCN-F226A in normal HEK293 cells or the ccRCC cell lines 786-O, Caki-1 and Caki-2. f) HEK293 cells were treated with and without 1 µM Rhodamine B-labeled FLCN-10A. Scale bar = 20 µM. g) LDHA activity in Caki-1 cells following 2 h treatment with FLCN-10A peptide.
Extended Data Fig. 10 Heterocyclic FLCN-10 peptide induces cell death in ccRCC cells.
a) Structural representation of head-to-tail cyclic-FLCN-10 peptide, created using MAESTRO (Schrodinger.com). b) Flow cytometric assessment of cell death in renal cell lines following 1 µM or 10 µM cyclic-FLCN-10 treatment as determined by propidium iodide staining. Representative of three independent experiments. c) Representative flow cytometry gating strategy. Cells were first stratified by size, followed by staining intensity with Annexin V-FITC and Propidium Iodide (Extended Data Fig. 9c, d). The PI intensity signal was converted into a histogram for presentation in Fig. 5a and Extended Data Fig. 10b.
Supplementary information
Supplementary Information
Supplementary Tables 2 and 3.
Supplementary 1
Supplementary Table 1.
Source data
Source Data Fig. 1
Original and uncropped western blots.
Source Data Fig. 1
Statistical source data and calculation of statistical values.
Source Data Fig. 2
Statistical source data and calculation of statistical values.
Source Data Fig. 3
Original and uncropped western blots.
Source Data Fig. 3
Statistical source data and calculation of statistical values.
Source Data Fig. 4
Original and uncropped western blots.
Source Data Fig. 4
Statistical source data and calculation of statistical values.
Source Data Fig. 5
Original and uncropped western blots.
Source Data Fig. 5
Statistical source data and calculation of statistical values.
Source Data Fig. 6
Original and uncropped western blots.
Source Data Fig. 6
Statistical source data and calculation of statistical values.
Source Data Extended Data Fig. 1
Original and uncropped western blots.
Source Data Extended Data Fig. 1
Statistical source data and calculation of statistical values.
Source Data Extended Data Fig. 2
Original and uncropped western blots.
Source Data Extended Data Fig. 2
Statistical source data and calculation of statistical values.
Source Data Extended Data Fig. 3
Original and uncropped western blots.
Source Data Extended Data Fig. 4
Original and uncropped western blots.
Source Data Extended Data Fig. 5
Original and uncropped western blots.
Source Data Extended Data Fig. 5
Statistical source data and calculation of statistical values.
Source Data Extended Data Fig. 6
Original and uncropped western blots.
Source Data Extended Data Fig. 6
Statistical source data and calculation of statistical values.
Source Data Extended Data Fig. 7
Original and uncropped western blots.
Source Data Extended Data Fig. 7
Statistical source data and calculation of statistical values.
Source Data Extended Data Fig. 8
Original and uncropped western blots.
Source Data Extended Data Fig. 8
Statistical source data and calculation of statistical values.
Source Data Extended Data Fig. 9
Original and uncropped western blots.
Rights and permissions
About this article
Cite this article
Woodford, M.R., Baker-Williams, A.J., Sager, R.A. et al. The tumor suppressor folliculin inhibits lactate dehydrogenase A and regulates the Warburg effect. Nat Struct Mol Biol 28, 662–670 (2021). https://doi.org/10.1038/s41594-021-00633-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41594-021-00633-2
This article is cited by
-
First transcriptomic insight into the working muscles of racing pigeons during a competition flight
Molecular Biology Reports (2024)
-
Pore-engineered nanoarchitectonics for cancer therapy
NPG Asia Materials (2023)
-
Glycolysis-related lncRNA TMEM105 upregulates LDHA to facilitate breast cancer liver metastasis via sponging miR-1208
Cell Death & Disease (2023)