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Dysregulated lactate metabolism synergizes with ALS genetic risk factors to accelerate motor decline

  • Shweta Tendulkar,

    Roles Conceptualization, Investigation, Writing – original draft, Writing – review & editing

    Affiliation Department of Developmental Biology, Washington University School of Medicine, St. Louis, Missouri, United States of America

  • Tong Wu,

    Roles Investigation

    Affiliation Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America

  • Amy Strickland,

    Roles Investigation

    Affiliation Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America

  • Amber R. Hackett,

    Roles Investigation

    Affiliation Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America

  • Yurie Sato-Yamada,

    Roles Investigation

    Affiliation Center for Advanced Oral Science, Niigata University, Niigata, Japan

  • Xianrong Mao,

    Roles Investigation

    Affiliation Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America

  • Yo Sasaki,

    Roles Investigation, Methodology, Supervision, Writing – review & editing

    Affiliation Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America

  • Jeffrey Milbrandt,

    Roles Conceptualization, Supervision, Writing – review & editing

    Affiliations Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America, Needleman Center for Neurometabolism and Axonal Therapeutics, St. Louis, Missouri, United States of America

  • A. Joseph Bloom ,

    Roles Conceptualization, Investigation, Supervision, Writing – original draft, Writing – review & editing

    ajbloom@wustl.edu (AJB); diantonio@wustl.edu (AD)

    Affiliations Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America, Needleman Center for Neurometabolism and Axonal Therapeutics, St. Louis, Missouri, United States of America

  • Aaron DiAntonio

    Roles Conceptualization, Supervision, Writing – review & editing

    ajbloom@wustl.edu (AJB); diantonio@wustl.edu (AD)

    Affiliations Department of Developmental Biology, Washington University School of Medicine, St. Louis, Missouri, United States of America, Needleman Center for Neurometabolism and Axonal Therapeutics, St. Louis, Missouri, United States of America

Abstract

Neurons rely on glial ‘lactate shuttling’ for metabolic support, which declines with aging and in neurodegenerative disease. Full disruption of lactate shuttling in peripheral nerves causes progressive axon degeneration, but we were interested to understand how partial disruption, a scenario more relevant to aging and disease, contributes to neurodegeneration risk. Pyruvate and lactate are interconverted by lactate dehydrogenases (LDHA and LDHB) in both lactate producing and consuming cells. We therefore began by investigating Ldhb knockout mice (loss of LDHA, the dominant LDH in liver and muscle, caused embryonic lethality), and discovered that they develop progressive neuromuscular junction atrophy and functional decline without axon degeneration. Because even Ldhb+/- heterozygosity significantly affects motor behavior, we also wondered about a potential link to congenital disease and pursued this by identifying rare loss-of-function LDHB variants among ALS patients. Next, to better understand how LDHB loss leads to motor decline, we selectively deleted it in defined cell types. Schwann cell (SC)-specific deletion caused robust motor defects, whereas motor neuron–specific deletion has little effect. Reasoning that neuronal LDHB deficiency could model age-associated decline in lactate metabolism, we asked whether it would interact with ALS genetic risk. Indeed, motor-neuron LDHB deficiency synergizes with relatively mild ALS risk variants— TDP43Q331K and Sod1D83G knock-in alleles—to produce early motor neuropathy, indicating that LDHB loss enhances disease risk. These findings establish lactate metabolism as a modifier of motor system vulnerability and highlight it as a therapeutic target in peripheral as well as central neurodegeneration.

Introduction

Neurons depend on tightly regulated metabolic support from surrounding glial cells, and disruption of this partnership is associated with profound health consequences. A main pillar of this support system is the ‘lactate shuttle’ by which glycolytic glia supply lactate to neurons, which then convert lactate back into pyruvate to drive the TCA cycle to support their high metabolic needs. The disruption or decline of lactate shuttling fromastrocytes to neurons in the central nervous system (CNS) [13] is implicated in both normal brain aging and in disease, including Alzheimer’s disease and ALS [46]. For example, astrocyte-motor neuron lactate shuttling is impaired and spinal cord lactate levels are reduced in both ALS mouse models and in ALS patients [7]. In both lactate producing cells and in consuming cells, lactate/pyruvate metabolism depends on Lactate Dehydrogenase (LDH), a multimeric enzyme consisting of two largely interchangeable subunits, LDHA and LDHB. These differ significantly in their expression patterns and are reported to differ in their substrate affinities, but both subunits robustly catalyze pyruvate/lactate interconversion in both directions. Blocking the lactate shuttle in peripheral nerves by deleting both LDH subunits causes progressive motor axon degeneration [8] and there is little difference between knocking out LDH in motor neurons (MNs) themselves or in the Schwann cells (SCs) that surround and support motor axons.

Our earlier findings demonstrated that lactate shuttling is necessary for peripheral motor axon maintenance. However, complete ablation of the shuttling mechanism poorly represents the chronic decline that coincides with normal aging. We hypothesized that modest disruptions of lactate metabolism would also produce measurable phenotypes and exacerbate degeneration when neurons are otherwise stressed. In pursuit of a better model of lactate metabolism deficiency, we first examined whole-body LDHB knockout mice and found that, in contrast to the motor axon degeneration that results from completely abolishing SC-axon lactate shuttling, peripheral nerve axons are preserved when only LDHB is deleted. That is, endogenous expression of LDHA in SCs or motor axons is sufficient to prevent the spontaneous degeneration of motor axons. Nevertheless, whole-body LDHB knockout does result in degeneration of neuromuscular junctions (NMJ). To clarify which cell types contribute to this defect, we therefore selectively deleted LDHB in neurons or Schwann cells and were surprised to discover that motor neuron LDHB knockout causes little harm, showing only very mild NMJ denervation in older animals. We reasoned that this modest disruption to lactate metabolism could serve as a genetic model of the reduction in glial-axon lactate shuttling that occurs with aging and in neurodegenerative disease. To test if mild lactate metabolism disruption can contribute to peripheral neurodegeneration risk, we combined mice with LDHB motor neuron KO with slowly progressing genetic models of ALS. We find that LDHB motor neuron loss synergizes with these pathogenic mutations in TARDBP and SOD1 to produce significantly enhanced and progressive motor impairment. In addition, we identify rare missense mutations in the LDHB gene in ALS patients and demonstrate that some encode dysfunctional LDHB protein. We conclude that declining lactate metabolism and shuttling may contribute to risk for peripheral neurodegeneration and suggest that targeting lactate shuttling is a candidate treatment strategy for neurodegenerative diseases.

Results

LDHB knockout mice have neuromuscular junction defects without axon loss

We originally developed murine Ldha and Ldhb genetic loss-of-function models to test the necessity of lactate shuttling in peripheral nerves [8]. Because LDHA and LDHB subunits both catalyze lactate/pyruvate interconversion in both directions, abolishing the lactate shuttling mechanism requires deleting both subunits from either the lactate-producing or lactate-consuming cells. In our prior study, we deleted both A and B in either Schwann cells, motor neurons, or sensory neurons using the Cre-Lox system [8]. With a goal of further dissecting the role of each subunit, we generated separate whole-body Ldhb knockout and Ldha knockout animals. Ldha expression dominates in liver and muscle tissues (Fig 1A), and loss of Ldha causes embryonic lethality [9]. However, Ldhb knockout mice appear grossly normal, healthy and fertile until at least 1 year of age.

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Fig 1. Whole-body knockout of LDHB causes progressive motor defects and NMJ defects but does not cause axon degeneration.

Western blot analysis of LDH expression in multiple mouse tissues using antibodies that recognize both LDHA and LDHB (upper blot) or only LDHB (lower) (A). Motor function was measured in 3, 6 and 12-month-old wildtype (WT), Ldhb+/-, and Ldhb-/- animals using latency to fall from an inverted screen (n = 5−30 per genotype) Statistical significance determined by one-way ANOVA with Sidak’s multiple comparisons test (B). Compound muscle action potential (CMAP) measured at the ankle and sciatic notch in 12-month-old animals (n = 5−30) (C & D). Representative 10x and 100x images of Toluidine Blue-stained images of sciatic nerves from 12-month-old WT, Ldhb+/-, and Ldhb-/- animals (E-G) and quantification of the g-ratio for each (n = 3) (H). Representative neuromuscular junctions on lumbrical muscles from 12-month-old WT, LDHB+/-, and LDHB-/- animals stained in green to detect the synaptic vesicle marker synaptic vesicle glycoprotein 2A (SV2) and axon marker neurofilament medium chain (NF) and in red to detect post-synaptic endplates with bungarotoxin (BTX) (I-K). Percentage of innervation determined by colocalization of presynaptic SV2 with postsynaptic BTX divided into three categories: none (no overlap), partial, and full (n = 3−5; statistics are shown for comparisons of fully innervated endplates). Statistical significance was determined by pairwise Fisher’s exact tests on raw counts, with a Bonferroni correction applied for multiple comparisons (L). Unless otherwise noted, statistical significance was determined by one-way ANOVA with Tukey’s multiple comparisons test. ****p < 10−4, ***p < 0.001, **p < 0.01, *p < 0.05.

https://doi.org/10.1371/journal.pone.0347135.g001

By 1 year of age, Ldhb knockout animals develop significant progressive motor behavior dysfunction and reduced compound muscle action potential (CMAP) amplitude (Fig 1B1D) reminiscent of what we previously observed with either Schwann cell or motor neuron-specific knockout of both LDH subunits. However, surprisingly, these defects were not accompanied by axon degeneration (Fig 1E1H). Instead, we observed significant neuromuscular junction (NMJ) defects without axon loss (Fig 1I1L). Mild NMJ defects were also observed in whole-body Ldhb+/- heterozygous mice, although CMAP appeared normal, indicating a dose dependent effect. Thus, LDHB is not required to maintain axons, but proper NMJ maintenance requires full LDHB expression, most likely in the motor neurons or in Schwann cells.

Thus, to determine which cell types are responsible for the motor dysfunction observed in LDHB knockout mice, we used the Cre-Lox system to delete Ldhb only in motor neurons or only in Schwann cells by breeding the LdhbF/F mice to either ChAT‐Cre+ or MPZ‐Cre+ mice [10,11] respectively. LDHB loss from MNs (LDHB MNKO) alone did not cause motor defects, but Schwann cell LDHB knockout mice (LDHB SCKO) developed motor phenotypes very similar to whole-body knockouts (Fig 2A and 2B) implicating Schwann cells as the primary driver of the phenotype. LDHB MNKO mice do, however, exhibit mild denervation of lumbrical muscles by 1 year of age (Fig 2C and 2D), suggesting LDHB expression in motor neurons selectively targets NMJ pathology at late stages, but does not alter motor behavior.

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Fig 2. Knockout of LDHB in Schwann cells, but not in motor neurons, produces motor defects by 6 months old.

Motor function (latency to fall from an inverted screen) measured in 3, 6 and 12-month-old WT, LDHB MNKO and LDHB SCKO animals (n = 15−20). Statistical significance was determined by one-way ANOVA with Tukey’s multiple comparisons test (A & B). Representative images of neuromuscular junctions on lumbrical muscles from 12-month-old WT and LDHB MNKO animals stained with NF, SV2 and BTX (C & D). Percentage of innervation determined by colocalization of presynaptic SV2 with postsynaptic BTX divided into three categories: none (no overlap), partial, and full (n = 3; statistics shown for comparisons of fully innervated endplates). Statistical significance was determined by pairwise Fisher’s exact tests on raw counts with a Bonferroni correction applied for multiple comparisons (E). ****p < 10−4, ***p < 0.001, **p < 0.01.

https://doi.org/10.1371/journal.pone.0347135.g002

Rare LDHB loss-of-function alleles occur in ALS patients

Because whole-body Ldhb+/- heterozygous mice also develop progressive motor behavior and NMJ defects (Fig 1) while appearing otherwise healthy, we wondered whether LDHB haploinsufficency might be an unappreciated risk factor for progressive peripheral neuropathy in human patients. We previously successfully pursued a similar question about rare variation in the SARM1 gene and risk for peripheral neurodegeneration by combining genomic data from ALS case/control studies and enzymatic assays to determine the functional consequences of rare missense variants [12]. Therefore, to explore the disease risk associated with LDHB loss-of-function, we searched for rare (minor allele frequency <0.1%) LDHB missense and nonsense alleles in exome sequence data from several well-annotated studies of ALS [1315] and identified 43 rare allele carriers among 10,723 patients and 34 among 10,137 controls. To determine if the patient group includes loss-of-function alleles, we began by assaying the function of nine rare missense alleles found in patients but not in controls. These variants were also chosen to prioritize those predicted to disrupt function in silico. To determine the activity of LDHB variants in the most relevant context possible, we generated an LDHB-/- human iPSC line, differentiated them into motor neurons, transfected the neurons with different LDHB lentiviral expression constructs, and assayed the conversion of lactate to pyruvate catalyzed by the lysed neurons. A known LDHB loss-of-function allele, R172H [16], was also included as a positive control. Untransfected LDHB-/- MNs have detectable but significantly lower LDH activity (48%, p = 0.02) compared to isogenic control iPSC-derived MNs (‘WT’ in Fig 3), demonstrating the contribution of both LDHA and LDHB to lactate metabolism in these neurons (Fig 3B). Overexpression of the functional reference allele of LDHB (simply ‘LDHB’ in Fig 3) in the LDHB KO MNs lead to markedly increased conversion of lactate to pyruvate in the assay, allowing us to compare the activities of the variant constructs. Among the initial batch of rare alleles, five showed significantly reduced activity relative to the reference allele that suggested near total loss of enzymatic function (Fig 3B). One of these constructs (K23T) and the positive control R172H also reduced measured activity below that of untransfected control cells, suggesting dominant-negative effects. Thus, we identified strong loss-of-function alleles that occur among ALS cases but not controls. However, due to their rarity, we calculated that there were not enough LDHB missense alleles predicted to disrupt function in these data sets to allow us to generate statistical evidence that loss-of-function alleles are enriched in ALS patients. Nonetheless, our results clearly demonstrate that some of the ALS patients in our sample are congenitally LDHB deficient. This encouraged us to employ ALS mouse models to test the hypothesis that LDHB deficiency can contribute to ALS-relevant pathology.

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Fig 3. Rare LDHB missense alleles from ALS patients show reduced enzymatic activity in human motor neurons.

Expression and enzymatic activity of the reference allele of LDHB, 9 LDHB missense alleles found in ALS patients, and R172H, a known LDHB loss-of-function allele. Western blots of motor neuron lysates probed to detect Flag-tagged LDHB protein, including untransfected controls (WT and LDHB-/-) (A). Lactase dehydrogenase activities of untransfected control (WT) and LDHB-/- neurons and LDHB-/- cells transfected with LDHB constructs. Enzymatic activities were calculated from the slopes of absorbance measurements normalized to the reference allele (LDHB) (B). n = 3 biological replicates for each construct. Statistical significance is shown for comparisons to the reference allele (LDHB) using unpaired Student's t-test; ***p < 0.001, **p < 0.01, *p < 0.05.

https://doi.org/10.1371/journal.pone.0347135.g003

LDHB loss in motor neurons synergizes with mildly pathogenic TDP43 to produce early motor behavior deficits

Motor neurons utilize LDHB to convert lactate to pyruvate, as demonstrated by the two-fold difference in lactate dehydrogenase activity between LDHB-/- and isogenic control MNs (Fig 3B). Additionally, loss of LDHB in MNs results in mild NMJ defects as the animals age (Fig 2D). Hence, LDHB deletion likely alters MN cellular metabolism. Reduced lactate dehydrogenase activity and lactate shuttling are associated with both normal aging and with neurodegenerative diseases, including ALS [46]. Therefore, we reasoned that targeted LDHB deletion from MNs might serve as a useful model of peripheral neurodegeneration risk due to age-associated dysregulation of lactate/pyruvate metabolism. We first explored this hypothesis by combining our MN-specific LDHB KO model with the TDP43Q331K knock-in model [17]. TDP43 dysfunction is a hallmark of ALS, evident in >97% of cases. The TDP43Q331K knock-in model carries a missense mutation in the endogenous mouse TARDBP locus encoding TDP43. Unlike other TDP43 ALS models that rely on overexpression of pathogenic human TDP43, this model exhibits very mild behavioral phenotypes and little evidence of pathology in the spinal cord or peripheral nerves such as TDP43 aggregation/cytoplasmic mislocalization, cell death, or axon degeneration. This allele previously proved useful to demonstrate a genetic interaction between TDP43 dysfunction and another bona fide ALS pathomechanism, STMN2 deficiency [18]. We therefore felt this model presented an appropriate sensitized background to test the potential contribution of dysregulated lactate metabolism to ALS risk.

Neither LDHB MNKO nor TDP43Q331K/+ mice display significant motor behavior defects when assessed by the inverted screen test up to six months of age (Fig 4A and S1E), yet LDHB MNKO;TDP43Q331K/+ mice are already significantly impaired by three months (Fig 4A), demonstrating notable synergy between the two sources of genetic risk. These behavioral deficits were accompanied by significant defects in NMJ innervation present in neither genetic model alone at this age (Fig 4E4I). However, we did not detect significant defects in CMAP or nerve conduction velocity (NCV) (Fig 4B4D). We chose to focus on the distal motor axon-dominated tibial nerve at this early stage because the denervation of NMJs absent axon degeneration in the LDHB KO model indicated a dying back phenotype. However, we did not observe degeneration of axons in the tibial nerves of LDHB MNKO;TDP43Q331K/+ mice (Fig 4L4P and S1A and S1B), nor in their femoral nerves, a motor axon-enriched nerve (Fig S1C and S1D). We also observed no evidence of TDP43 aggregation/mislocalization in the spinal cords of the combined model at six months (Fig 4J4K), i.e., the synergistic phenotype cannot be explained by LDHB deficiency inducing visible TDP43 pathology. Hence, the locus of pathology in the LDHB MNKO; TDP43Q331K/+ mice is likely the NMJ, indicating a dying-back phenotype that has not yet progressed to frank axon degeneration, even in the very distal tibial nerves. These findings are consistent with dysregulated lactate metabolism synergizing with TDP43 dysfunction to accelerate the development of a very distal neuropathy, a model in which age- or disease-related decline in lactate/pyruvate metabolism could influence the timing of ALS initiation or progression.

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Fig 4. LDHB motor neuron KO synergizes with TDP43Q331K to produce early motor deficits and NMJ defects.

Motor function (latency to fall from an inverted screen) measured in 3-month-old WT, TDP43Q331K/+, LDHB MNKO and TDP43Q331K/+; LDHB MNKO mice (A), electrophysiological recording performed on 3-month-old animals to determine the difference in CMAP at the ankle and sciatic notch (B & C) and Sensory Nerve Action Potential (SNAP) at the tail (n = 10-12) (D). NMJs on lumbrical muscles stained with anti-NF, anti-SV2 and BTX to compare innervation of 3-month-old mice of different genotypes (n = 3; statistical comparison is between fully innervated endplates). Statistical significance was determined by pairwise Fisher’s exact tests on raw counts, with a Bonferroni correction applied for multiple comparisons. (E-I). Spinal cords stained to detect TDP43 and nuclei (DAPI) indicate no mislocalization in 6-month-old LDHB MNKO; TDP43Q331K/+ or LDHB MNKO mice (J & K). Representative images of 40x and 63x toluidine blue-stained sections of tibial nerves from 3-month-old animals (L-O). Average g-ratio indicates no difference in degeneration between genotypes (n = 3). Unless otherwise mentioned, all statistical significance was determined by one-way ANOVA with Tukey’s multiple comparisons test (P). ***p < 0.001, **p < 0.01.

https://doi.org/10.1371/journal.pone.0347135.g004

LDHB loss in motor neurons synergizes with mildly pathogenic SOD1 to produce early motor behavior deficits

To test whether the synergy we observed between LDHB loss and pathogenic TDP43 is specific to this pathomechanism or is more general to ALS pathology, we chose to investigate the contribution of dysregulated lactate metabolism in another distinct ALS model. Similar to the TDP43Q331K knock-in model, the Sod1D83G model does not rely on overexpression, in contrast to the commonly investigated SOD1-G93 model which massively overexpresses pathogenic human SOD1 [19]. Instead, Sod1D83G is a spontaneous point mutation identical to a human familial ALS-associated SOD1 variant with notably variable penetrance [20,21]. Progressive motor defects occur reliably in the Sod1D83G mouse line, but only in homozygous males relatively late in life [20]. We therefore saw this model as an ideal alternative sensitized background to test the generalizability of the disease risk associated with dysregulated lactate metabolism. Similar to the TDP43 model, combining LDHB MNKO with Sod1D83G/D83G led to significantly earlier and more severe motor deficits in male mice (Fig 5), demonstrating that dysregulated lactate metabolism is a significant motor neurodegeneration risk synergizing with ALS risk factors acting via disparate mechanisms.

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Fig 5. LDHB MNKO synergizes with SOD1D83G to produce defects in motor behavior.

Motor function (inverted screen) of 3 and 6-month-old WT, LDHB MNKO, SOD1D83G/D83G and LDHB MNKO; SOD1D83G/D83G mice (n = 15−20). ****p < 10−4, ***p < 0.001. Statistical significance was determined by one-way ANOVA with Tukey’s multiple comparisons test.

https://doi.org/10.1371/journal.pone.0347135.g005

Discussion

While significant advances have been made in understanding ALS etiology by studying highly penetrant pathogenic variants in genes like SOD1, TARDBP and C9ORF72, most sporadic ALS cases are understood to arise from the intersection of lesser risk factors, both congenital and environmental, including genetic modifiers that influence disease onset, progression, and penetrance [22,23]. Importantly, the best predictor of ALS is advanced age [24], which is associated with the decline of numerous cellular and intercellular processes including lactate/pyruvate metabolism [4,25]. Lactate production in the CNS declines with age, and deteriorated lactate shuttling from glia to neurons is implicated in aging-related neurodegenerative diseases, including Alzheimer’s and ALS [46]. Evidence for this includes metabolomic studies of sporadic ALS patient serum that document disrupted lactic acid metabolism [26]. By ablating lactate dehydrogenase activity in Schwann cells, we previously demonstrated that a similar lactate shuttling system is also necessary to maintain motor axons but not sensory axons in the PNS, suggesting a connection between compromised lactate metabolism and motor-selective peripheral neuropathy risk [8]. Here we have shown that, while motor neurons employ both LDH subunits, LDHB is not necessary to maintain motor axons, and that early motor defects displayed by whole-body LDHB knockout mice can be attributed to LDHB deficiency in Schwann cells rather than neurons. Combining murine models to assess genetic interactions contributing to ALS risk has previously proven fruitful [18,27]. Therefore, to interrogate the risk for peripheral neurodegeneration due to dysregulated lactate metabolism separate from other age-related changes, we utilized a genetic model of LDH deficiency by knocking out only LDHB (not LDHA) in motor neurons. Tellingly, although this mild disruption has little effect on motor function by itself, in combination with other weak ALS genetic risk factors, striking declines in motor function are observed. Thus, altered lactate utilization by motor neurons can significantly exacerbate pathogenesis, suggesting that lactate metabolism function could significantly impact disease susceptibility and progression.

In a prior study, we combined ALS case–control exomes with functional assays to demonstrate that a subset of rare variants in the SARM1 gene confer constitutive NADase activity and are greater than 5-fold enriched in ALS patients, supporting SARM1 gain-of-function as a genetic risk mechanism for ALS [12]. By contrast, in this study, driven by results from mouse models, we analyzed LDHB assuming the more typical loss-of-function axis of risk. Using an LDHB-/- iPSC motor neuron background, we functionally tested rare LDHB variants observed in ALS datasets and identified multiple severe loss-of-function alleles (sometimes with apparent dominant-negative behavior) present among ALS patients but absent from controls. However, because such alleles are very rare, our current sample does not provide statistical evidence for case enrichment. Nevertheless, taken together with our mouse genetics results, the human data are consistent with LDHB haploinsufficiency acting as a disease modifier that sensitizes motor units to otherwise subthreshold ALS risks if not a stand-alone causal factor. Limitations of our analysis include the rarity and ascertainment of LDHB variants in current exome cohorts and the constraints of our overexpression-based assay. Larger meta-analyses and systematic burden tests will be needed to determine whether LDHB loss-of-function is truly enriched in ALS at the population level.

Axons vary in their metabolic requirements in parallel with their diverse roles and morphologies. Spinal motor axons are exceptionally long and elaborate, extending up to a meter in humans and innervating muscles via numerous NMJs. Synapses expend more than a third of a neuron’s ATP, which is regenerated locally via mitochondrial oxidative phosphorylation [28,29]. Thus, the demands of propagating action potentials over long distances and fueling large numbers of synapses confer unique energy requirements on spinal MNs that likely contribute to their special vulnerability in ALS [30]. Indeed, the MNs that innervate fast-twitch muscle and have the highest peak ATP requirements are also those affected the earliest and most severely in ALS; MNs that innervate slow-twitch muscle are affected later, and oculomotor neurons, which are exceptionally resistant to ALS, innervate relatively few NMJ endplates compared to spinal MNs [31]. As such, the motor-selectivity of neuropathy induced by LDH knockout fits with a model of vulnerability related to high metabolic stress within the neuron itself.

Mitochondrial ATP production is impaired in ALS [32], and many mitochondrial genes are associated with ALS and other peripheral neuropathies [33]. Pathogenic variants of SOD1 and TDP-43 both impair mitochondrial function and motor neurons derived from ALS patient iPS cells display elevated LDH leakage along with reduced mitochondrial respiration and ATP production [34]. We propose the following model as a potential explanation for our findings of synergy. Altered cellular pyruvate supply in the background of a compromised TCA cycle might overwhelm compensatory mechanisms and cross a tipping-point to produce metabolic deficiency worse than either insult alone. Such synergy could accelerate pathology due to oxidative stress as reductive oxygen species (ROS) byproducts are generated by incomplete substrate oxidation in impaired and inefficient mitochondria. Thus, even when other cellular defects occur, boosting lactate metabolism/shuttling to cushion against the consequences of poor mitochondrial function could protect axons and forestall pathology [35,36]. In short, our results suggest that impaired lactate metabolism can accelerate pathology in ALS models, a compelling rationale to purse lactate restoration as a therapeutic strategy for peripheral neuropathies.

Methods

Animals

All animal experiments were performed with the approval of the Institutional Animal Care and Use Committee of Washington University, St. Louis, MO and in accordance with NIH guidelines for the care and use of laboratory animals. Mice were housed in a barrier facility under standard conditions (12 h light/dark cycle, 20–26°C, 30–70% humidity) with ad libitum access to food and water. Approximately 170 total mice were used in the experiments described, including approximately equal numbers of males and females except where otherwise specified. Mice were monitored from weaning through experimental endpoints and were not maintained beyond 12 months of age. Morbidity or accelerated mortality was not observed in the transgenic lines relative to wild-type littermates during the study period. Animals were examined at least once daily for general health. During experimental manipulations, i.e., electrophysiology measurements, animals were monitored additionally before and after procedures. The following were criteria for humane endpoints requiring euthanasia within 24 hrs: 20% loss of body weight, persistent hunched posture, labored breathing, lethargy, hindlimb paralysis, ulceration, infection, or distress unresponsive to supportive care. No experimental animals were found dead or reached these humane endpoints during this study. All animals were euthanized by CO₂ inhalation followed by cervical dislocation, except for animals transcardially perfused under isoflurane anesthesia. For all procedures requiring anesthesia, mice were anesthetized with isoflurane (1–3% in oxygen). Because experimental procedures were not associated with tissue injury expected to cause postoperative pain, analgesics were not required, but animals were monitored after recovery to ensure normal behavior and hydration.

Genotypes

Floxed Ldha (LdhaF/F) mice were originally generated by breeding Ldhatm1a(EUCOMM)Wtsi mice (EMMA, EM:05082, Jax Stock No: 030112) [37] to mice that express FLP recombinase ACTB:FLPe B6;SJL (Jax: 003800) [38]. Floxed Ldhb (LdhbF/F) mice were similarly generated from Ldhbtm1a(KOMP)Wtsi mice (EMMA, EM:08936) [39]. To generate motor neuron and Schwann cell specific LDHB knockout mice, LdhbF/F mice were bred to either ChAT‐Cre+ or MPZ‐Cre+ mice [10] (Jax: 006410) [11] respectively. Whole-body Ldha and Ldhb KO lines were generated by mating LdhaF/F or LdhbF/F mice to mice expressing Cre driven by the actin promoter. TDP-43Q331K (Jax:031345) and Sod1D83G (Jax:020440) mice were obtained from Jackson Laboratories. Littermate controls consisted of Cre negative mice in all experiments.

Inverted screen test

The inverted screen test was performed as described previously [18]. Mice were set on a wire mesh which was then inverted for a maximum of 2 minutes. Each mouse was tested thrice at an interval of at least 5 minutes. The latency to fall was calculated based on the average of three measurements.

Nerve electrophysiology

Compound muscle action potential (CMAP) and sensory nerve action potential (SNAP) were acquired using a Viking Quest electromyography device (Nicolet) as we previously published [40]. Mice were anesthetized with isoflurane, with body temperature maintained at 37 °C with a thermostatic heating pad and rectal probe, and CMAP for ankle and sciatic notch was recorded by inserting the recording electrodes in the plantar surface of the footpad (intrinsic foot muscles) and the stimulating electrode in the ankle (distal) or sciatic notch (proximal), respectively. The ground and reference electrodes were inserted subcutaneously in the tail base. Both hindlimbs were recorded using supramaximal (≥20% above the plateau CMAP amplitude) stimulation for CMAPs and 3–5 traces were averaged for each site. Supramaximal stimulation was also used for SNAP measurements. Electrodes were inserted subcutaneously into the tail. The recording electrode was placed at the base of the tail, followed by the ground, the stimulating, and the reference electrode with a fixed 30 mm distance between the recording and stimulating electrode.

Nerve structure analysis using light microscopy

As described in our previous work [18] nerves were fixed in 3% Glutaraldehyde overnight at 4°C, washed, and stained in 1% Osmium Tetroxide overnight at 4°C. These nerves were washed and dehydrated in a serial gradient of ethanol. After dehydration, nerves were incubated in 50% propylene oxide/50% ethanol, then 100% propylene oxide. Subsequently, nerves were incubated in Araldite resin solution/propylene oxide solutions overnight, and then embedded in 100% Araldite resin solution (Araldite: DDSA: DMP30; 12:9:1; Electron Microscopy Sciences) and finally baked overnight at 60°C. For the light microscope analysis, sections of 400–600 nm were cut using Leica EM UC7 Ultramicrotome and placed onto prewarmed slides and stained for 1 minute with 1% toluidine blue solution (1% toluidine blue, 2% borax), vigorously washed with water, acetone, and then xylene. They were mounted with Cytoseal XYL and imaged on a compound brightfield microscope. Images taken with either a 100x or 63x oil lens were used for quantification. g-ratio was measured by dividing the inner myelin diameter by outer diameter, quantifying 40 myelinated axons per mouse and averaging across replicates. Degenerated axons were excluded from g-ratio calculations.

NMJ staining and analysis

Mice were transcardially perfused with 4% Paraformaldehyde (PFA) followed by overnight fixation of the feet in 4% PFA. Following three rinses with Phosphate buffered saline (PBS), lumbrical muscles were dissected for staining with anti-SV2 (Developmental Studies Hybridoma Bank AB2315387, 1:200), anti-2H3 (Developmental Studies Hybridoma Bank AB2314897, 1:100) and α-bungarotoxin (BTX) (Biotium 00006, 1:500) as described previously [8]. NMJ images were acquired at 63x and 40x magnification on a confocal microscope using the z-stack setting. Image analysis was performed by projecting these images at maximum intensity, followed by observing the colocalization of the pre-synapse with the post-synapse. The individual NMJs were categorized as fully, partially, or not innervated by an experimenter blinded to genotype. The proportion of innervation was translated into percentages and compared across genotypes by 2-way ANOVA followed by multiple comparison testing.

Spinal cord staining

Mice were transcardially perfused with 4% PFA, and their spinal columns were dissected out and fixed further for 48 hours in 4% PFA. They were then immersed in 30% sucrose and stored at 4°C until dissection. Spinal cords were dissected, transferred into 70% ethanol, and sliced into six pieces for embedding in paraffin using a tissue processor. The embedded paraffin blocks were sliced using a microtome, and 5 µm sections were placed on prewarmed slides. Sections were stained using antigen retrieval with citrate buffer and pressure-cooked for 2 minutes. The slides were cooled at room temperature for 30 minutes and gently washed with water before blocking in 4% BSA + 0.3% Triton-X100 in 1X PBS for 30 minutes. They were incubated with Rabbit anti-ChAT (Millipore A. B143) antibody at 4°C overnight. The next day, slides were washed with 0.03% Triton X-100 in PBS and incubated with C-terminal conjugated anti-TDP43 (Proteintech CoraLite CL488–67345) along with Goat anti-rabbit IgG (H + L) cross-adsorbed secondary antibody, Alexa Flour 568 (Invitrogen A11011). The stained slides were mounted with Vectashield containing DAPI and imaged on a confocal microscope at 63x magnification using the Z-Stack setting. Images were observed for TDP43 mislocalization by projecting for maximum intensity.

iPSC differentiation into motor neurons

LDHB and LDHA knockout iPSCs were generated by the Genome Engineering and iPSC Center (GEiC) at Washington University in St. Louis from the WTC11 parental line using CRISPR–Cas9 ribonucleoprotein (RNP) delivery. Human iPSCs were differentiated into spinal motor neurons using a previously established protocol [41] with minor adjustments. Neural induction was initiated with small-molecule inhibitors, followed by patterning with retinoic acid and purmorphamine to generate OLIG2 ⁺ motor neuron progenitors (MNPs). MNPs were expanded and matured into functional CHAT⁺ motor neurons with valproic acid, Compound E, and neurotrophic factors, including IGF-1, BDNF, and CNTF.

LDHB variant activity assay from cell lysates

Synthetic DNA fragments encoding human LDHB were cloned into the lentivirus vector FCIV using InFusion (Clontech) and lentiviral particles containing LDHB variants were generated as previously described [ 42,43]. Variants were selected from anonymized publicly available human genetic data not associated with demographic or clinical information beyond ALS case status. All assayed polymorphisms were reported in one of three databases, last accessed July 2024: Project MinE (http://databrowser.projectmine.com) [13], the University of Massachusetts Medical School Sporadic ALS Variant Server (http://als.umassmed.edu/index.php#SALSbrowser), or the ALS Knowledge Portal (http://alskp.org) [14]. LDHB knockout (KO) motor neuron precursors derived from human induced pluripotent stem cells (iPSCs) were transduced with lentivirus expressing LDHB variants (n = 3 biological replicates per construct). Following differentiation into mature motor neurons, equal amounts of protein from each cell lysate were added to each assay and LDH activity was measured using the Lactate Dehydrogenase Activity Assay Kit (Millipore Sigma, MAK066) detecting absorbance at 450 nm every 5 minutes for one hour. Activity was further normalized to LDHB protein expression as quantified from Western blots using ImageJ. Enzymatic activities were calculated from the slope of the reaction curves with all activities represented relative to LDHB KO cells overexpressing the LDHB reference allele construct normalized to 1.

Statistical analysis

Sample numbers (n) of ≥3 were used in all experiments, with numbers specified throughout. Except where noted, all experiments used approximately equal numbers of males and females. No significant sex-specific effects or interactions were detected for the phenotypes reported; therefore, data from males and females were pooled unless otherwise noted. Statistics were performed using GraphPad Prism. All data is reported as mean ± SEM. All group comparisons were performed using one-way ANOVA followed by multiple comparison tests, with the exception of NMJ innervation distribution; while these data are depicted as percentages for visual clarity, statistical significance was determined using pairwise Fisher’s exact tests on raw counts with a Bonferroni correction applied for multiple comparisons.

Supporting information

S1 Fig. Density of normal and degenerating axons in tibial nerves of WT, TDP43Q331K/+, LDHB MNKO, and LDHB MNKO; TDP43Q331K/+ mice (A & B).

Representative images of 63x toluidine blue-stained sections of Femoral nerves from 3-month-old TDP43Q331K/+ and LDHB MNKO; TDP43Q331K/+ mice (C & D). Latency to fall from an inverted screen in 6-month-old animals (E). Statistical significance was determined by one-way ANOVA with Tukey’s multiple comparisons test, ***p < 0.001, **p < 0.01.

https://doi.org/10.1371/journal.pone.0347135.s001

(TIFF)

S1 Table. Provides all the raw data presented throughout the manuscript.

https://doi.org/10.1371/journal.pone.0347135.s002

(XLSX)

S1 Raw Images. Provides the raw images of Western blots from Fig 3B.

https://doi.org/10.1371/journal.pone.0347135.s003

(PDF)

Acknowledgments

We would like to thank members of the DiAntonio and Milbrandt labs for their thoughtful feedback on this work. We would like to thank Cassidy Menendez and Liya Yuan for their technical support.

References

  1. 1. Bonvento G, Bolaños JP. Astrocyte-neuron metabolic cooperation shapes brain activity. Cell Metab. 2021;33(8):1546–64. pmid:34348099
  2. 2. Magistretti PJ, Allaman I. Lactate in the brain: from metabolic end-product to signalling molecule. Nat Rev Neurosci. 2018;19(4):235–49. pmid:29515192
  3. 3. Brooks GA. The science and translation of lactate shuttle theory. Cell Metab. 2018;27(4):757–85. pmid:29617642
  4. 4. Verkhratsky A, Augusto-Oliveira M, Pivoriūnas A, Popov A, Brazhe A, Semyanov A. Astroglial asthenia and loss of function, rather than reactivity, contribute to the ageing of the brain. Pflugers Arch. 2021;473(5):753–74. pmid:32979108
  5. 5. Williams HC, Farmer BC, Piron MA, Walsh AE, Bruntz RC, Gentry MS, et al. APOE alters glucose flux through central carbon pathways in astrocytes. Neurobiol Dis. 2020;136:104742. pmid:31931141
  6. 6. Muraleedharan R, Dasgupta B. AMPK in the brain: its roles in glucose and neural metabolism. FEBS J. 2022;289(8):2247–62. pmid:34355526
  7. 7. Ferraiuolo L, et al. Dysregulation of astrocyte–motoneuron cross-talk in mutant superoxide dismutase 1-related amyotrophic lateral sclerosis. Brain. 2011;134:2627–41.
  8. 8. Bloom AJ, et al. Disruption of lactate metabolism in the peripheral nervous system leads to motor-selective deficits. bioRxiv. 2022.
  9. 9. Takata N, Miska JM, Morgan MA, Patel P, Billingham LK, Joshi N, et al. Lactate-dependent transcriptional regulation controls mammalian eye morphogenesis. Nat Commun. 2023;14(1):4129. pmid:37452018
  10. 10. Feltri ML, D’Antonio M, Previtali S, Fasolini M, Messing A, Wrabetz L. P0-Cre transgenic mice for inactivation of adhesion molecules in Schwann cells. Ann N Y Acad Sci. 1999;883:116–23. pmid:10586237
  11. 11. Rossi J, Balthasar N, Olson D, Scott M, Berglund E, Lee CE, et al. Melanocortin-4 receptors expressed by cholinergic neurons regulate energy balance and glucose homeostasis. Cell Metab. 2011;13(2):195–204. pmid:21284986
  12. 12. Bloom AJ, Mao X, Strickland A, Sasaki Y, Milbrandt J, DiAntonio A. Constitutively active SARM1 variants that induce neuropathy are enriched in ALS patients. Mol Neurodegener. 2022;17(1):1. pmid:34991663
  13. 13. van der Spek RAA, van Rheenen W, Pulit SL, Kenna KP, van den Berg LH, Veldink JH, et al. The project MinE databrowser: bringing large-scale whole-genome sequencing in ALS to researchers and the public. Amyotroph Lateral Scler Frontotemporal Degener. 2019;20(5–6):432–40. pmid:31280677
  14. 14. Farhan SMK, et al. Enrichment of rare protein truncating variants in amyotrophic lateral sclerosis patients. bioRxiv. 2018.
  15. 15. Kenna KP, van Doormaal PTC, Dekker AM, Ticozzi N, Kenna BJ, Diekstra FP, et al. NEK1 variants confer susceptibility to amyotrophic lateral sclerosis. Nat Genet. 2016;48(9):1037–42. pmid:27455347
  16. 16. Sudo K, Maekawa M, Tomonaga A, Tsukada T, Nakayama T, Kitamura M, et al. Molecular characterization of genetic mutations in human lactate dehydrogenase (LDH) B (H) variant. Hum Genet. 1992;89(2):158–62. pmid:1587525
  17. 17. White MA, et al. TDP-43 gains function due to perturbed autoregulation in a Tardbp knock-in mouse model of ALS-FTD. Nat Neurosci. 2018.
  18. 18. Krus KL, Benitez AM, Strickland A, Milbrandt J, Bloom AJ, DiAntonio A. Two cardinal features of ALS, reduced STMN2 and pathogenic TDP-43, synergize to accelerate motor decline in mice. Exp Neurol. 2025;384:115068. pmid:39603486
  19. 19. Acevedo-Arozena A, Kalmar B, Essa S, Ricketts T, Joyce P, Kent R, et al. A comprehensive assessment of the SOD1G93A low-copy transgenic mouse, which models human amyotrophic lateral sclerosis. Dis Model Mech. 2011;4(5):686–700. pmid:21540242
  20. 20. Joyce PI, Mcgoldrick P, Saccon RA, Weber W, Fratta P, West SJ, et al. A novel SOD1-ALS mutation separates central and peripheral effects of mutant SOD1 toxicity. Hum Mol Genet. 2015;24(7):1883–97. pmid:25468678
  21. 21. Forsberg K, Graffmo K, Pakkenberg B, Weber M, Nielsen M, Marklund S, et al. Misfolded SOD1 inclusions in patients with mutations in C9orf72 and other ALS/FTD-associated genes. J Neurol Neurosurg Psychiatry. 2019;90(8):861–9. pmid:30992335
  22. 22. Yanagi KS, Wu Z, Amaya J, Chapkis N, Duffy AM, Hajdarovic KH, et al. Meta-analysis of genetic modifiers reveals candidate dysregulated pathways in amyotrophic lateral sclerosis. Neuroscience. 2019;396:A3–20. pmid:30594291
  23. 23. van Es MA, et al. Genome-wide association study identifies 19p13.3 (UNC13A) and 9p21.2 as susceptibility loci for sporadic amyotrophic lateral sclerosis. Nat Genet. 2009;41:1083–7.
  24. 24. Chapman L, Cooper-Knock J, Shaw PJ. Physical activity as an exogenous risk factor for amyotrophic lateral sclerosis: a review of the evidence. Brain. 2023;146(5):1745–57. pmid:36918362
  25. 25. Tefera TW, Borges K. Metabolic dysfunctions in amyotrophic lateral sclerosis pathogenesis and potential metabolic treatments. Front Neurosci. 2017;10:611. pmid:28119559
  26. 26. Jia R, Chen Q, Zhou Q, Zhang R, Jin J, Hu F, et al. Characteristics of serum metabolites in sporadic amyotrophic lateral sclerosis patients based on gas chromatography-mass spectrometry. Sci Rep. 2021;11(1):20786. pmid:34675267
  27. 27. Brenner D, Sieverding K, Bruno C, Lüningschrör P, Buck E, Mungwa S, et al. Heterozygous Tbk1 loss has opposing effects in early and late stages of ALS in mice. J Exp Med. 2019;216(2):267–78. pmid:30635357
  28. 28. Niven JE. Neuronal energy consumption: biophysics, efficiency and evolution. Curr Opin Neurobiol. 2016;41:129–35. pmid:27664945
  29. 29. Anagnostou M-E, Hepple RT. Mitochondrial mechanisms of neuromuscular junction degeneration with aging. Cells. 2020;9(1):197. pmid:31941062
  30. 30. Ragagnin AMG, Shadfar S, Vidal M, Jamali MS, Atkin JD. Motor Neuron Susceptibility in ALS/FTD. Front Neurosci. 2019;13:532. pmid:31316328
  31. 31. Nijssen J, Comley LH, Hedlund E. Motor neuron vulnerability and resistance in amyotrophic lateral sclerosis. Acta Neuropathol. 2017;133(6):863–85. pmid:28409282
  32. 32. Singh T, Jiao Y, Ferrando LM, Yablonska S, Li F, Horoszko EC, et al. Neuronal mitochondrial dysfunction in sporadic amyotrophic lateral sclerosis is developmentally regulated. Sci Rep. 2021;11(1):18916. pmid:34556702
  33. 33. Jankovic M, et al. Current concepts on genetic aspects of mitochondrial dysfunction in amyotrophic lateral sclerosis. Int J Mol Sci. 2021;22.
  34. 34. Hor J-H, Santosa MM, Lim VJW, Ho BX, Taylor A, Khong ZJ, et al. ALS motor neurons exhibit hallmark metabolic defects that are rescued by SIRT3 activation. Cell Death Differ. 2021;28(4):1379–97. pmid:33184465
  35. 35. Beirowski B, Babetto E, Golden JP, Chen Y-J, Yang K, Gross RW, et al. Metabolic regulator LKB1 is crucial for Schwann cell-mediated axon maintenance. Nat Neurosci. 2014;17(10):1351–61. pmid:25195104
  36. 36. Pooya S, Liu X, Kumar VBS, Anderson J, Imai F, Zhang W, et al. The tumour suppressor LKB1 regulates myelination through mitochondrial metabolism. Nat Commun. 2014;5:4993. pmid:25256100
  37. 37. Wang Y-H, Israelsen WJ, Lee D, Yu VWC, Jeanson NT, Clish CB, et al. Cell-state-specific metabolic dependency in hematopoiesis and leukemogenesis. Cell. 2014;158(6):1309–23. pmid:25215489
  38. 38. Rodríguez CI, Buchholz F, Galloway J, Sequerra R, Kasper J, Ayala R, et al. High-efficiency deleter mice show that FLPe is an alternative to Cre-loxP. Nat Genet. 2000;25(2):139–40. pmid:10835623
  39. 39. Skarnes WC, Rosen B, West AP, Koutsourakis M, Bushell W, Iyer V, et al. A conditional knockout resource for the genome-wide study of mouse gene function. Nature. 2011;474(7351):337–42. pmid:21677750
  40. 40. Kim S, et al. Schwann cell O-GlcNAc glycosylation is required for myelin maintenance and axon integrity. J Neurosci. 2016;36:9633–46.
  41. 41. Du ZW, et al. Generation and expansion of highly pure motor neuron progenitors from human pluripotent stem cells. Nat Commun. 2015;6:6626.
  42. 42. Sasaki Y, et al. cADPR is a gene dosage-sensitive biomarker of SARM1 activity in healthy, compromised, and degenerating axons. Exp Neurol. 2020;334:113252.
  43. 43. Geisler S, et al. Prevention of vincristine-induced peripheral neuropathy by genetic deletion of SARM1 in mice. Brain. 2016;139:3092–108.