The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
DDHD2 provides a flux of saturated fatty acids for neuronal energy and function
Published version of a preprint
Abstract
Although fatty acids support mitochondrial ATP production in most tissues, neurons are believed to rely exclusively on glucose for energy. Here we show that genetic ablation of the triglyceride and phospholipid lipase Ddhd2 impairs mitochondrial respiration and ATP synthesis in cultured neurons, despite increased glycolysis. This defect arises from reduced levels of long-chain saturated free fatty acids, particularly myristic, palmitic and stearic acids, normally released in an activity-dependent manner by Ddhd2. Inhibition of mitochondrial fatty acid import in wild-type neurons similarly reduced mitochondrial respiration and ATP production. Saturated fatty acyl-coenzyme A treatment restored mitochondrial energy production in Ddhd2 knockout neurons. When provided in combination, these activated fatty acyl-CoA supplements also rescued defects in membrane trafficking, synaptic function and protein homeostasis. These findings uncover that neurons perform β-oxidation of endogenous long-chain free fatty acids to meet ATP demands and reveal a potential therapeutic strategy for hereditary spastic paraplegia 54 caused by DDHD2 mutations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Lipids as metabolic fuel came into recent focus with studies showing that the inability of neurons to mobilize fatty acids from triglycerides, due to neuron-specific triglyceride lipase deficiency, results in respiratory dysfunction and a decrease in ATP production, albeit at normal glucose metabolism47,48.”
From Interaction of sortilin with apolipoprotein E3 enables neurons to use long-chain fatty acids as alternative metabolic fuel (2025) · cites this paper as [48]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts034 · Cited by 6,231
The Mitochondrial Carnitine Palmitoyltransferase System — From Concept to Molecular Analysis
McGarry, J. D., & Brown, N. F. (1997) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1997.00001.x · Cited by 1,616
Brain metabolism in health, aging, and neurodegeneration
Camandola, S., & Mattson, M. P. (2017) · The EMBO Journal · doi:10.15252/embj.201695810 · Cited by 752
A possible role for malonyl-CoA in the regulation of hepatic fatty acid oxidation and ketogenesis.
McGarry, J. D., Mannaerts, G. P., & Foster, D. W. (1977) · Journal of Clinical Investigation · doi:10.1172/jci108764 · Cited by 736
The Alzheimer’s Disease Mitochondrial Cascade Hypothesis
Swerdlow, R. H., Burns, J. M., & Khan, S. M. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-100339 · Cited by 562
Monzio Compagnoni, G., Di Fonzo, A., Corti, S., Comi, G. P., Bresolin, N., & Masliah, E. (2020) · Molecular Neurobiology · doi:10.1007/s12035-020-01926-1 · Cited by 378
Mitochondrial alterations in Alzheimer's disease
Baloyannis, S. J. (2006) · Journal of Alzheimer s Disease · doi:10.3233/jad-2006-9204 · Cited by 318
Mitochondria metabolism sets the species-specific tempo of neuronal development
Iwata, R., Casimir, P., Erkol, E., Boubakar, L., Planque, M., Gallego López, I. M., Ditkowska, M., Gaspariunaite, V., Beckers, S., Remans, D., et al. (2023) · Science · doi:10.1126/science.abn4705 · Cited by 312
Snowden, S. G., Ebshiana, A. A., Hye, A., An, Y., Pletnikova, O., O’Brien, R., Troncoso, J., Legido-Quigley, C., & Thambisetty, M. (2017) · PLOS Medicine · doi:10.1371/journal.pmed.1002266 · Cited by 309
Production of adeno-associated virus vectors for in vitro and in vivo applications
Kimura, T., Ferran, B., Tsukahara, Y., Shang, Q., Desai, S., Fedoce, A., Pimentel, D. R., Luptak, I., Adachi, T., Ido, Y., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-49624-w · Cited by 155
Flagged first, then by citations
Research works printed but not linked: 85
- Inloes, J. M. et al. The hereditary spastic paraplegia-related enzyme DDHD2 is a principal brain triglyceride lipase. Proc. Natl Acad. Sci. USA 111, 14924–14929 (2014). · DOI
- Inloes, J. M. et al. Functional contribution of the spastic paraplegia-related triglyceride hydrolase DDHD2 to the formation and content of lipid droplets. Biochemistry 57, 827–838 (2018). · DOI
- Akefe, I. O. et al. The DDHD2-STXBP1 interaction mediates long-term memory via generation of saturated free fatty acids. EMBO J. 43, 533–567 (2024). · DOI
- Joensuu, M., Wallis, T. P., Saber, S. H. & Meunier, F. A. Phospholipases in neuronal function: a role in learning and memory? J. Neurochem. 153, 300–333 (2020). · DOI
- Wallis, T. P. et al. Saturated free fatty acids and association with memory formation. Nat. Commun. 12, 3443 (2021). · DOI
- Schuurs-Hoeijmakers, J. H. et al. Mutations in DDHD2, encoding an intracellular phospholipase A1, cause a recessive form of complex hereditary spastic paraplegia. Am. J. Hum. Genet. 91, 1073–1081 (2012). · DOI
- Blackstone, C. Hereditary spastic paraplegia. Handb. Clin. Neurol. 148, 633–652 (2018). · DOI
- Salinas, S., Proukakis, C., Crosby, A. & Warner, T. T. Hereditary spastic paraplegia: clinical features and pathogenetic mechanisms. Lancet Neurol. 7, 1127–1138 (2008). · DOI · Paper page
- Fink, J. K. Hereditary spastic paraplegia. Curr. Neurol. Neurosci. Rep. 6, 65–76 (2006). · DOI
- Murala, S., Nagarajan, E. & Bollu, P. C. Hereditary spastic paraplegia. Neurol. Sci. 42, 883–894 (2021). · DOI
- Gonzalez, M. et al. Mutations in phospholipase DDHD2 cause autosomal recessive hereditary spastic paraplegia (SPG54). Eur. J. Hum. Genet. 21, 1214–1218 (2013). · DOI
- Maruyama, T. et al. Loss of DDHD2, whose mutation causes spastic paraplegia, promotes reactive oxygen species generation and apoptosis. Cell Death Dis. 9, 797 (2018). · DOI
- Citterio, A. et al. Mutations in CYP2U1, DDHD2 and GBA2 genes are rare causes of complicated forms of hereditary spastic paraparesis. J. Neurol. 261, 373–381 (2014). · DOI
- Alrayes, N. et al. Truncating mutation in intracellular phospholipase A(1) gene (DDHD2) in hereditary spastic paraplegia with intellectual disability (SPG54). BMC Res. Notes 8, 271 (2015). · DOI
- Nicita, F. et al. Defining the clinical-genetic and neuroradiological features in SPG54: description of eight additional cases and nine novel DDHD2 variants. J. Neurol. 266, 2657–2664 (2019). · DOI
- Schonfeld, P. & Reiser, G. Why does brain metabolism not favor burning of fatty acids to provide energy? Reflections on disadvantages of the use of free fatty acids as fuel for brain. J. Cereb. Blood Flow. Metab. 33, 1493–1499 (2013). · DOI · Paper page
- Hiltunen, J. K. & Qin, Y.-M. β-oxidation—strategies for the metabolism of a wide variety of acyl-CoA esters. Biochim. Biophys. Acta 1484, 117–128 (2000). · DOI
- Adeva-Andany, M. M., Carneiro-Freire, N., Seco-Filgueira, M., Fernández-Fernández, C. & Mouriño-Bayolo, D. Mitochondrial β-oxidation of saturated fatty acids in humans. Mitochondrion 46, 73–90 (2019). · DOI
- Resh, M. D. Fatty acylation of proteins: the long and the short of it. Prog. Lipid Res. 63, 120–131 (2016). · DOI
- Yuan, Y. et al. Protein lipidation in health and disease: molecular basis, physiological function and pathological implication. Signal Transduct. Target. Ther. 9, 60 (2024). · DOI
- Chandel, N. S. Lipid metabolism. Cold Spring Harb. Perspect. Biol. 13, a040576 (2021). · DOI
- Kruszynska, Y. T. & Sherratt, H. S. Glucose kinetics during acute and chronic treatment of rats with 2[6(4-chloro-phenoxy)hexyl]oxirane-2-carboxylate, etomoxir. Biochem. Pharmacol. 36, 3917–3921 (1987). · DOI
- Vajrala, N., Bottomley, P. J., Stahl, D. A., Arp, D. J. & Sayavedra-Soto, L. A. Cycloheximide prevents the de novo polypeptide synthesis required to recover from acetylene inhibition in Nitrosopumilus maritimus. FEMS Microbiol. Ecol. 88, 495–502 (2014). · DOI
- Violante, S. et al. Carnitine palmitoyltransferase 2: new insights on the substrate specificity and implications for acylcarnitine profiling. Biochim. Biophys. Acta 1802, 728–732 (2010). · DOI
- Aicart-Ramos, C., Valero, R. A. & Rodriguez-Crespo, I. Protein palmitoylation and subcellular trafficking. Biochim. Biophys. Acta 1808, 2981–2994 (2011). · DOI
- Wang, B. et al. Protein N-myristoylation: functions and mechanisms in control of innate immunity. Cell. Mol. Immunol. 18, 878–888 (2021). · DOI
- Yuan, M. et al. N-myristoylation: from cell biology to translational medicine. Acta Pharmacol. Sin. 41, 1005–1015 (2020). · DOI
- Timms, R. T. et al. A glycine-specific N-degron pathway mediates the quality control of protein N-myristoylation. Science 365, eaaw4912 (2019). · DOI
- Blaskovic, S., Blanc, M. & van der Goot, F. G. What does S‐palmitoylation do to membrane proteins? FEBS J. 280, 2766–2774 (2013). · DOI
- Akbar, M. et al. Mitochondrial dysfunction and cell death in neurodegenerative diseases through nitroxidative stress. Brain Res. 1637, 34–55 (2016). · DOI
- Leeson, H. C. et al. Ataxia telangiectasia patient-derived neuronal and brain organoid models reveal mitochondrial dysfunction and oxidative stress. Neurobiol. Dis. 199, 106562 (2024). · DOI
- Marvin, J. S. et al. iATPSnFR2: a high-dynamic-range fluorescent sensor for monitoring intracellular ATP. Proc. Natl Acad. Sci. USA 121, e2314604121 (2024). · DOI
- Al-Yahyaee, S. et al. A novel locus for hereditary spastic paraplegia with thin corpus callosum and epilepsy. Neurology 66, 1230–1234 (2006). · DOI
- Chou, Y. T. et al. Biallelic DDHD2 mutations in patients with adult-onset complex hereditary spastic paraplegia. Ann. Clin. Transl. Neurol. 10, 1603–1612 (2023). · DOI
- D’Amore, A. et al. Next generation molecular diagnosis of hereditary spastic paraplegias: an Italian cross-sectional study. Front. Neurol. 9, 981 (2018). · DOI · Paper page
- Doi, H. et al. Late-onset spastic ataxia phenotype in a patient with a homozygous DDHD2 mutation. Sci. Rep. 4, 7132 (2014). · DOI
- Dong, E. L. et al. Clinical spectrum and genetic landscape for hereditary spastic paraplegias in China. Mol. Neurodegener. 13, 36 (2018). · DOI
- Kumar, K. R. et al. Defining the genetic basis of early onset hereditary spastic paraplegia using whole genome sequencing. Neurogenetics 17, 265–270 (2016). · DOI
- Magariello, A. et al. Further evidence that DDHD2 gene mutations cause autosomal recessive hereditary spastic paraplegia with thin corpus callosum. Eur. J. Neurol. 21, e25–e26 (2014). · DOI
- Novarino, G. et al. Exome sequencing links corticospinal motor neuron disease to common neurodegenerative disorders. Science 343, 506–511 (2014). · DOI
- Salinas, V. et al. The odyssey of complex neurogenetic disorders: from undetermined to positive. Am. J. Med. Genet. C. Semin. Med. Genet. 184, 876–884 (2020). · DOI
- Thabet, F., Tlili-Graiess, K. & Tabarki, B. Distinct neuroimaging features of DDHD2 gene-related spastic paraplegia, a mimicker of cerebral palsy. Arch. Dis. Child 105, 482 (2020). · DOI
- Travaglini, L. et al. The impact of next-generation sequencing on the diagnosis of pediatric-onset hereditary spastic paraplegias: new genotype-phenotype correlations for rare HSP-related genes. Neurogenetics 19, 111–121 (2018). · DOI
- Xu, X. et al. Case report: novel compound heterozygous missense mutations in the DDHD2 gene in a Chinese patient associated with spastic paraplegia type 54. Front. Pediatr. 10, 997274 (2022). · DOI
- Joensuu, M., Martínez-Mármol, R., Mollazade, M., Padmanabhan, P. & Meunier, F. A. in Single Molecule Microscopy in Neurobiology (eds Yamamoto, N. et al.) 81–114 (Springer, 2020). · DOI
- Small, C., Martinez-Marmol, R., Amor, R., Meunier, F. A. & Joensuu, M. Combining single molecule super-resolution imaging techniques to unravel the nanoscale organization of the presynapse. Methods Mol. Biol. 2233, 265–286 (2021). · DOI
- Heuser, J. & Reese, T. Evidence for recycling of synaptic vesicle membrane during transmitter release at the frog neuromuscular junction. J. Cell Biol. 57, 315–344 (1973). · DOI
- Haucke, V., Neher, E. & Sigrist, S. J. Protein scaffolds in the coupling of synaptic exocytosis and endocytosis. Nat. Rev. Neurosci. 12, 127–138 (2011). · DOI
- Wang, L. et al. α-synuclein multimers cluster synaptic vesicles and attenuate recycling. Curr. Biol. 24, 2319–2326 (2014). · DOI
- Yong, X. L. H., Cousin, M. A. & Anggono, V. PICK1 controls activity-dependent synaptic vesicle cargo retrieval. Cell Rep. 33, 108312 (2020). · DOI
- Giannone, G. et al. Dynamic superresolution imaging of endogenous proteins on living cells at ultra-high density. Biophys. J. 99, 1303–1310 (2010). · DOI
- Ogura, R., Sugiyama, M., Sakanashi, T. & Ninomiya, T. ESR spin-labeling method of determining membrane fluidity in biological materials tissue culture cells, cardiac mitochondria, erythrocytes and epidermal cells. Kurume Med. J. 35, 171–182 (1988). · DOI
- Zidovetzki, R. & Levitan, I. Use of cyclodextrins to manipulate plasma membrane cholesterol content: evidence, misconceptions and control strategies. Biochim. Biophys. Acta 1768, 1311–1324 (2007). · DOI
- Bengtsson, G. & Olivecrona, T. Lipoprotein lipase. Mechanism of product inhibition. Eur. J. Biochem. 106, 557–562 (1980). · DOI
- Tracey, T. J., Steyn, F. J., Wolvetang, E. J. & Ngo, S. T. Neuronal lipid metabolism: multiple pathways driving functional outcomes in health and disease. Front. Mol. Neurosci. 11, 10 (2018). · DOI
- Barber, C. N. & Raben, D. M. Lipid metabolism crosstalk in the brain: glia and neurons. Front. Cell Neurosci. 13, 212 (2019). · DOI · Paper page
- Carver, J. D., Benford, V. J., Han, B. & Cantor, A. B. The relationship between age and the fatty acid composition of cerebral cortex and erythrocytes in human subjects. Brain Res. Bull. 56, 79–85 (2001). · DOI
- Fecher, C. et al. Cell-type-specific profiling of brain mitochondria reveals functional and molecular diversity. Nat. Neurosci. 22, 1731–1742 (2019). · DOI
- Morant-Ferrando, B. et al. Fatty acid oxidation organizes mitochondrial supercomplexes to sustain astrocytic ROS and cognition. Nat. Metab. 5, 1290–1302 (2023). · DOI
- Yang, S. Y., He, X. Y. & Schulz, H. Fatty acid oxidation in rat brain is limited by the low activity of 3-ketoacyl-coenzyme A thiolase. J. Biol. Chem. 262, 13027–13032 (1987). · DOI
- Edmond, J., Robbins, R. A., Bergstrom, J. D., Cole, R. A. & de Vellis, J. Capacity for substrate utilization in oxidative metabolism by neurons, astrocytes, and oligodendrocytes from developing brain in primary culture. J. Neurosci. Res. 18, 551–561 (1987). · DOI
- Panov, A., Orynbayeva, Z., Vavilin, V. & Lyakhovich, V. Fatty acids in energy metabolism of the central nervous system. BioMed. Res. Int. 2014, 472459 (2014). · DOI · Paper page
- Patterson, S. I. Posttranslational protein S-palmitoylation and the compartmentalization of signaling molecules in neurons. Biol. Res. 35, 139–150 (2002). · DOI
- Maurer-Stroh, S. et al. MYRbase: analysis of genome-wide glycine myristoylation enlarges the functional spectrum of eukaryotic myristoylated proteins. Genome Biol. 5, R21 (2004). · DOI
- Shen, X. et al. Stearic acid metabolism in human health and disease. Clin. Nutr. 44, 222–238 (2025). · DOI
- Joensuu, M. et al. Visualizing endocytic recycling and trafficking in live neurons by subdiffractional tracking of internalized molecules. Nat. Protoc. 12, 2590–2622 (2017). · DOI
- Changou, C. A., Ajoy, R. & Chou, S. Y. Live images of GLUT4 protein trafficking in mouse primary hypothalamic neurons using deconvolution microscopy. J. Vis. Exp. https://doi.org/10.3791/56409 (2017). · DOI
- Nakajima, K. et al. A novel phospholipase A1 with sequence homology to a mammalian Sec23p-interacting protein, p125. J. Biol. Chem. 277, 11329–11335 (2002). · DOI
- Itakura, E. & Mizushima, N. Characterization of autophagosome formation site by a hierarchical analysis of mammalian Atg proteins. Autophagy 6, 764–776 (2010). · DOI · Paper page
- Dull, T. et al. A third-generation lentivirus vector with a conditional packaging system. J. Virol. 72, 8463–8471 (1998). · DOI · Paper page
- Malik, A. N., Czajka, A. & Cunningham, P. Accurate quantification of mouse mitochondrial DNA without co-amplification of nuclear mitochondrial insertion sequences. Mitochondrion 29, 59–64 (2016). · DOI
- Dai, W. et al. The ATF2/miR-3913-5p/CREB5 axis is involved in the cell proliferation and metastasis of colorectal cancer. Commun. Biol. 6, 1026 (2023). · DOI
- Gureev, A. P., Shaforostova, E. A., Starkov, A. A. & Popov, V. N. Simplified qPCR method for detecting excessive mtDNA damage induced by exogenous factors. Toxicology 382, 67–74 (2017). · DOI
- Marinangeli, C., Kluza, J., Marchetti, P., Buee, L. & Vingtdeux, V. Study of AMPK-regulated metabolic fluxes in neurons using the Seahorse XFe analyzer. Methods Mol. Biol. 1732, 289–305 (2018). · DOI
- Batth, T. S. et al. Protein aggregation capture on microparticles enables multipurpose proteomics sample preparation. Mol. Cell Proteomics 18, 1027–1035 (2019). · DOI
- Engholm-Keller, K. et al. The temporal profile of activity-dependent presynaptic phospho-signalling reveals long-lasting patterns of poststimulus regulation. PLoS Biol. 17, e3000170 (2019). · DOI
- Bolstad, B. M., Irizarry, R. A., Åstrand, M. & Speed, T. P. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 19, 185–193 (2003). · DOI
- Troyanskaya, O. et al. Missing value estimation methods for DNA microarrays. Bioinformatics 17, 520–525 (2001). · DOI · Paper page
- Ritchie, M. E. et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43, e47 (2015). · DOI · Paper page
- Manley, S., Gillette, J. M. & Lippincott-Schwartz, J. Single-particle tracking photoactivated localization microscopy for mapping single-molecule dynamics. Methods Enzymol. 475, 109–120 (2010). · DOI
- Joensuu, M. et al. Subdiffractional tracking of internalized molecules reveals heterogeneous motion states of synaptic vesicles. J. Cell Biol. 215, 277–292 (2016). · DOI
- Kechkar, A., Nair, D., Heilemann, M., Choquet, D. & Sibarita, J. B. Real-time analysis and visualization for single-molecule based super-resolution microscopy. PLoS ONE 8, e62918 (2013). · DOI
- Nair, D. et al. Super-resolution imaging reveals that AMPA receptors inside synapses are dynamically organized in nanodomains regulated by PSD95. J. Neurosci. 33, 13204–13224 (2013). · DOI · Paper page
- Butler, C. et al. Multi-dimensional spectral single molecule localization microscopy. Front. Bioinform. 2, 813494 (2022). · DOI
- Constals, A. et al. Glutamate-induced AMPA receptor desensitization increases their mobility and modulates short-term plasticity through unbinding from Stargazin. Neuron 85, 787–803 (2015). · DOI
Cited by
Sorted by citations
Greda, A. K., Gomes, J. P., Schmidt-Krueger, V., Zurawska-Plaksej, E., Fritsche-Guenther, R., Rudolph, I.-M., Telugu, N. S., Cömert, C., Kirwan, J., Kunz, S., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01389-5 · Cited by 21
Metadata
- Authors
- Saber, S. H., Yak, N., Yong, X. L. H., Bong, Y. T., Leeson, H., Dai, C.-Y., Binder, T., Lu, S., Purushothaman, R., Lenaerts, A.-S., Almeida-Souza, L., Koludarova, L., Er, S., Hlushchuk, I., Gaudin, A., Singh, S., Nyman, T. A., Harmer, J. R., Zuryn, S., Wolvetang, E., Talbo, G. H., Airavaara, M., Battersby, B. J., van Waardenberg, A. J., Anggono, V., Balistreri, G., & Joensuu, M.
- ORCID
- Venue
- Nature Metabolism
- Published
- 2025-09-30
- Volume
- 7
- Issue
- 10
- Pages
- 2117-2141
- ISSN
- 2522-5812
- PMC
- PMC12552131
- Cited by
- 44
- References
- 10
- Language
- en
- Funders
- Norges Forskningsråd (295910)
- Department of Education and Training | Australian Research Council (FT220100485)
- Sigrid Juséliuksen Säätiö
- Academy of Finland (335527)
- Sigrid Juselius Foundation, National Ataxia Foundation, Lindsey Flynt, Hereditary Neuropathy Foundation, Research Council of Finland.
- EC | Horizon 2020 Framework Programme (101057553)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review