Skip to main content
Download PDF

Exhaustion of mitochondrial and autophagic reserve may contribute to the development of LRRK2G2019S-Parkinson’s disease

Journal of Translational Medicine volume 16, Article number: 160 (2018) Cite this article

Abstract

Background

Mutations in leucine rich repeat kinase 2 (LRRK2) are the most common cause of familial Parkinson’s disease (PD). Mitochondrial and autophagic dysfunction has been described as etiologic factors in different experimental models of PD. We aimed to study the role of mitochondria and autophagy in LRRK2G2019S-mutation, and its relationship with the presence of PD-symptoms.

Methods

Fibroblasts from six non-manifesting LRRK2G2019S-carriers (NM-LRRK2G2019S) and seven patients with LRRK2G2019S-associated PD (PD-LRRK2G2019S) were compared to eight healthy controls (C). An exhaustive assessment of mitochondrial performance and autophagy was performed after 24-h exposure to standard (glucose) or mitochondrial-challenging environment (galactose), where mitochondrial and autophagy impairment may be heightened.

Results

A similar mitochondrial phenotype of NM-LRRK2G2019S and controls, except for an early mitochondrial depolarization (54.14% increased, p = 0.04), was shown in glucose. In response to galactose, mitochondrial dynamics of NM-LRRK2G2019S improved (− 17.54% circularity, p = 0.002 and + 42.53% form factor, p = 0.051), probably to maintain ATP levels over controls. A compromised bioenergetic function was suggested in PD-LRRK2G2019S when compared to controls in glucose media. An inefficient response to galactose and worsened mitochondrial dynamics (− 37.7% mitochondrial elongation, p = 0.053) was shown, leading to increased oxidative stress. Autophagy initiation (SQTSM/P62) was upregulated in NM-LRRK2G2019S when compared to controls (glucose + 118.4%, p = 0.014; galactose + 114.44%, p = 0.009,) and autophagosome formation increased in glucose media. Despite of elevated SQSTM1/P62 levels of PD-NMG2019S when compared to controls (glucose + 226.14%, p = 0.04; galactose + 78.5%, p = 0.02), autophagosome formation was deficient in PD-LRRK2G2019S when compared to NM-LRRK2G2019S (− 71.26%, p = 0.022).

Conclusions

Enhanced mitochondrial performance of NM-LRRK2G2019S in mitochondrial-challenging conditions and upregulation of autophagy suggests that an exhaustion of mitochondrial bioenergetic and autophagic reserve, may contribute to the development of PD in LRRK2G2019S mutation carriers.

Background

Parkinson’s disease (PD) is the second most prevalent neurodegenerative disease. While most of PD cases are idiopathic, monogenic forms of the disease are demonstrated in about 5–10% of patients [1]. Mutations in leucine-rich repeat kinase 2 (LRRK2) are the most common cause of inherited PD and account for 1–2% of sporadic PD cases [2]. LRRK2 is a large multi-domain protein with kinase and GTPase activity involved in several cellular functions [3]. A glycine to serine substitution in the kinase domain of this protein (G2019S), accounts for the majority of genetically-transmitted, late-onset PD and for a variable proportion of sporadic PD, with higher prevalence in Ashkenazi Jews and North-African populations [4, 5]. Previous experimental models of PD have reported that LRRK2 mutations play a role in α-synuclein phosphorylation and depot, microtubule dynamics regulation, alterations in the ubiquitin–proteasome system and in neurite growth and branching of neurons [6].

Current evidence suggests that the increased kinase activity caused by the LRRK2G2019S-mutation (LRRK2G2019S), associated with the regulation of mitochondrial dynamics, vesicle trafficking and chaperone mediated autophagy [7,8,9], plays a pivotal role in the pathogenesis of LRRK2G2019S-associated PD, but the molecular mechanisms leading to neurodegeneration remain largely unknown [10].

Neuronal function is strongly dependent on oxidative metabolism and efficient organelle clearance, and mitochondrial homeostasis greatly depends on adequate mitochondrial dynamics, turnover and renewal through autophagy, which makes the study of mitochondrial function and autophagy highly relevant in the elucidation of pathological pathways leading to neurodegeneration [7, 8]. Recent studies have characterized mitochondrial dysfunction and autophagy impairment in LRRK2G2019S-associated PD [9,10,11]. Furthermore, therapeutic strategies in LRRK2G2019S-associated PD consisting of drug testing in experimental models directed to reverse mitochondrial alterations, and LRRK2 inhibition as a therapeutic target for impaired autophagy in PD, have been tested with positive outcomes [12,13,14]. However, whether mitochondrial and autophagic alterations are cause or effect of the pathophysiology of LRRK2G2019S PD is still unclear.

In this regard, the study of LRRK2G2019S-carriers without PD symptoms (NM-LRRK2G2019S) in contrast to LRRK2G2019S-carriers diagnosed with PD (PD-LRRK2G2019S), provides the opportunity to investigate early molecular alterations in this condition [6]. Motor symptoms of PD appear when loss of more than 60–70% of dopaminergic neurons has occurred, preceded by several years of neurodegeneration at different levels, and followed by a rapid progression of the disease [15]. In the last decade, research has focused on clinical and molecular alterations in the prodromal phase of PD [16] and in asymptomatic carriers of PD-linked mutations [14, 17], all of which has raised a great interest in the search of the disease aetiology, novel biomarkers and potential targets to prevent and modify the natural history of the disease.

Since the central nervous system is not readily available for investigation, several experimental models have been developed in the pursuit of unravelling PD pathophysiology [15, 16]. Past studies have provided evidence of molecular alterations of PD in peripheral tissues [18,19,20], such as skin-derived fibroblasts, where defined mutations and cumulative cellular damage of donors are present [21]. Concerns have risen about the use of toxic insults and non-physiologic metabolic conditions in previous cell or animal models of the disease, which may not reproduce the mitochondrial and autophagic derangements that lead to neurodegeneration. Glucose promotes anaerobic glycolysis in detriment of oxidative mitochondrial metabolism, thus masking potential bioenergetic alterations and consequent autophagic fails which may be more evident in mitochondrial-challenging conditions. In this sense, the use of galactose has been proved useful in the study of primary mitochondrial diseases, since it enhances mitochondrial metabolism, evidencing pre-existent mitochondrial alterations [22] and autophagic derangements.

In the present study, we hypothesized that mitochondrial and autophagic alterations represent a primary and systemic process in PD, which may play a role in the development of symptoms of LRRK2G2019S-associated PD, and that such derangements may be exacerbated in mitochondrial-challenging conditions. Consequently, we evaluated the mitochondrial and autophagic phenotype in fibroblasts from NM-LRRK2G2019S subjects and PD-LRRK2G2019S patients, either in glycolytic or oxidative conditions enabled by the use of galactose.

Methods

Study design and population

A single-site, cross-sectional, observational study was conducted. Twenty-one age and gender paired subjects were included: six NM-LRRK2G2019S, seven PD-LRRK2G2019S, and eight healthy, unrelated controls (C). All PD-LRRK2G2019S patients met the UK Brain Bank Criteria for PD [23]. Control group included LRRK2G2019S negative relatives of patients who voluntarily underwent skin biopsy. Subjects with comorbidities, mitochondrial disorders, and those consuming mitochondrial toxic drugs were not included in any of those groups [24].

Fibroblasts culture

Fibroblasts were obtained by a skin punch biopsy and mutation screening was performed as previously described [5].

Cells were grown in 25 mM glucose DMEM medium (Gibco, Life Technologies) supplemented with 10% heat-inactivated fetal bovine serum and 1% penicillin–streptomycin at 37 °C, in a humidified 5% CO2 air incubator, until 80% optimal confluence was reached. In order to assess whether mitochondrial and autophagic function was directly implicated in the pathogeny of LRRK2G2019S, cells were exposed for 24-h to either 25 mM glucose (standard) or 10 mM galactose (mitochondrial-challenging) media [22], where cells are forced to rely on oxidative phosphorylation for ATP production. Fibroblasts were harvested with 2.5% trypsin, (Gibco, Life technologies™) at 500 g for 8 min. In vivo experiments, including oxygen consumption and mitochondrial membrane potential (MMP), were performed in parallel including one subject from each cohort, at the same passage, both in glucose and galactose media. Fixation of cells for immunofluorescent quantification of mitochondrial dynamics was also performed at this time point. Cell pellets from each line were kept at − 80 °C for further experimental procedures. All functional assays were performed in cells between passage 5 and 10.

Experimental parameters

In order to address an exhaustive mitochondrial phenotyping and autophagic print, this study contemplated the following experiments:

Mitochondrial phenotype

  1. a.

    Mitochondrial DNA, RNA and protein content:

    Total DNA was extracted by standard phenol chloroform procedure and total RNA was extracted by affinity microcolumns and retro transcribed to cDNA in triplicates, as reported elsewhere [25]. Mitochondrial DNA and RNA content were measured as the ratio between a mtDNA encoded gene/transcript and a nuclear encoded one (mt12SrRNA/nRNAseP). Mitochondrial protein content was assessed by Western Blot in duplicates, through 7/13% SDS-PAGE and immunoquantification of nuclear-encoded VDAC, mitochondrial-encoded COXII, and nuclear-encoded COXIV analysis, normalized by β-actin. Chemiluminescence was quantified with ImageQuantLD® [26].

  2. b.

    Mitochondrial function:

    1. i.

      Mitochondrial respiratory chain (MRC) enzyme activities previously associated to PD [14] were measured by spectrophotometry, following Spanish standardized national procedures (unpublished data). Complex I (CI) and Complex IV (CIV) enzyme activities were then normalized by citrate synthase (CS), widely considered as a reliable marker of mitochondrial content.

    2. ii.

      Mitochondrial respiration is the result of oxygen consumption by the MRC. CI stimulated oxygen consumption was assessed through pyruvate-malate oxidation (PMox) by high-resolution respirometry using Oroboros™ Oxygraph-2K® (Innsbruck, Austria) in permeabilized fibroblasts, following manufacturer protocols [27].

    3. iii.

      Total cellular ATP was measured in duplicates by using the Luminescent ATP detection assay kit® #ab113849; Abcam™ (Cambridge, United Kingdom), according to manufacturer’s instructions, in order to quantify the bioenergetic efficiency of MRC.

    4. iv.

      Mitochondrial damage markers were measured to search for mitochondrial lesion in association with the presence of LRRK2G2019S Mitochondrial membrane potential was measured by flow cytometry twice to establish whether punctual mitochondrial alterations in MMP prelude mitochondrial dysfunction, as previously described [28]. Second, lipid peroxidation was measured in duplicates by the spectrophotometric measurement of malondialdehyde (MDA) and 4-hydroxyalkenal (HAE), as indicators of oxidative damage of reactive oxygen species (ROS) into cellular lipid compounds, as reported elsewhere [29]. Finally, to evaluate the apoptotic rate, cells were double-stained for annexin V and propidium iodide and quantified by flow cytometry, as previously reported [30].

  3. c.

    Mitochondrial dynamics has been shown to be crucial in the maintenance of mitochondrial homeostasis, and LRRK2 has been suggested to play a role in mitochondrial fission [31]. Immunocytochemistry using confocal microscopy was performed as previously described [32]. One cell from three different fields for each cell line were randomly selected and analyzed with Image J [33] software to quantify the following parameters of mitochondrial dynamics:

    1. i.

      Mitochondrial network or mitochondrial content: Total number of mitochondria/total cell area [34]; higher mitochondrial network values are considered a sign of healthy mitochondria.

    2. ii.

      Circularity (Circ) or mitochondrial isolation: 4π.area/perimeter2; circular mitochondria have less interaction sites with other mitochondria, thus, Circ = 1 refers to poor mitochondrial dynamics of isolated mitochondria.

    3. iii.

      Aspect ratio (AR) or mitochondrial elongation: major/minor axis, AR = 1 indicates a perfect circle; AR increases as mitochondria elongate and become more elliptical, which is considered a beneficial sign of mitochondrial dynamics.

    4. iv.

      Form factor (FF) or mitochondrial branching: Circ-1; FF = 1 corresponds to a circular, unbranched mitochondrion and high FF values indicate branched and connected mitochondria, which is favourable for mitochondrial function.

Autophagic print

Characterization of autophagic print was carried out twice by quantitative measurement of autophagic-related proteins in both media (basal). To further assess autophagosome formation, 100 nM Bafilomycin A1 was added at two different time points (4 and 8 h) [35]. Briefly, fibroblasts were lysed with RIPA buffer and protease inhibitors followed by centrifugation at 14,000g at 4 °C for 5 min. Soluble fraction was retained for Western Blot analysis. Equal protein load lysates were resolved through 7/15% SDS-PAGE and transferred into nitrocellulose membranes, following blocking with 10% skimmed milk. Membranes were hybridized with Anti-SQSTM1/p62 and anti-LC3B antibodies overnight at 4 °C. Protein expression was normalized by β-actin protein content in all cases, as a cell loading control. Chemiluminescence was quantified with ImageQuantLD® and results were expressed and interpreted as:

  1. i.

    Autophagy substrate; (SQSTM/p62)/β-actin is a cargo protein widely used as a marker of autophagy initiation [13].

  2. ii.

    Autophagy receptor (LC3BI/β-actin) and lipidated form of the autophagy receptor (LC3BII/β-actin): LC3B is a marker of autophagosomes; LC3BI is unspecific and expressed in the autophagosome membrane but can also be located in cytoplasm or other organelles, its lipidation and migration to the autophagosome membrane (LC3BII) is considered to be a marker of autophagosome formation [36].

Immunocytochemistry was performed to further characterize autophagosome formation in the basal state, in glucose and galactose media, and after 6 h exposure to 100 nM Bafilomycin A1 using confocal microscopy. Briefly, cultured skin fibroblasts were washed with PBS before fixation with 4% paraformaldehyde for 15 min. Fixed cells were washed, permeabilized with 0.1% Digitonin in blocking solution (1% bovine serum albumin). Cells were incubated for 1 h using Anti-LC3 pAB. Counterstaining with DAPI was performed for nucleus visualization.

Experimental parameters were normalized by protein levels, measured by the BCA assay in quadruplicates, when needed. See Additional file 1: Material and methods for detailed protocols and reagents.

Statistical analysis

Results were expressed as mean ± SEM and as a percentage of increase/decrease with respect to controls, which were arbitrarily assigned as a 0% baseline. Two statistical approaches were performed for each media (glucose or galactose): (i) Non-parametric Mann–Whitney analysis for independent samples to detect inter-group differences for individual parameters and (ii) principal component analysis (PCA) to define the component with the largest possible variance and to show whether the studied population would be clustered by group, age or sex. Statistical analysis was performed with SPSS 20.00 (for Mann–Whitney test) and the R programming language version 3.4.3 and its missMDA, package (for PCA) [37]. Statistical significance was set at p < 0.05 in all cases.

Results

Epidemiological data of the studied cohorts at the time of skin biopsy are shown in Table 1 and clinical characteristics of PD-LRRK2G2019S patients are shown in Additional file 2: Table S1. As expected, no significant differences in age and gender between groups were evidenced by either Mann–Whitney or PCA tests. None of the NM-LRRK2G2019S subjects had developed clinical symptoms of the disease at the time of results analysis. Groups were not differentially clustered nor variables correlated among each other by performing PCA (Additional file 3: Figure S1).

Table 1 Epidemiological characteristics of the cohorts
Full size table

Mitochondrial phenotype

Figure 1 summarizes mitochondrial phenotype and raw data of experimental parameters is provided in Additional file 4: Table S2. Extended versions of graphics corresponding to genetics and mitochondrial protein synthesis can be found in Additional file 5: Figure S2.

Fig. 1
figure 1

Mitochondrial phenotype of LRRK2G2019S-mutation carriers. Mitochondrial parameters measured in LRRK2G2019S-mutation carriers, without clinical symptoms of PD (NM-LRRK2G2019S) or with clinically manifest PD (PD-LRRK2G2019S) represented as a percentage of decrease/increase when compared to healthy controls, arbitrarily assigned as 0% (black, dotted line) in glucose (blue line) and galactose media (red line). The letters (a), (a’), (b) and (b’), indicate those cases in which a statistical difference within the two analysed groups and controls was found: (a) p < 0.05 when comparing NM-LRRK2G2019S to controls in glucose media, (a’) p < 0.05 when comparing NM-LRRK2G2019S to controls in galactose media, (b) p < 0.05 when comparing PD-LRRK2G2019S to controls in glucose media and (b’) p < 0.05 when comparing PD-LRRK2G2019S to controls in galactose media. In summary, fibroblasts of NM-LRRK2G2019S showed a pattern similar to controls in glucose, except for early disruption of MMP. When subjected to mitochondrial challenging conditions, global mitochondrial function and dynamics trended to ameliorate, towards ATP production (A). Fibroblasts of PD-LRRK2G2019S in glucose trended towards a deranged mitochondrial function when compared to controls. When subjected to galactose media, PD-LRRK2G2019S fibroblasts presented an inefficient increase of mitochondrial function and worsened mitochondrial dynamics, leading to increased oxidative stress (B)

Full size image
  1. a.

    Mitochondrial function of NM-LRRK2G2019S ameliorated when subjected to mitochondrial challenging conditions, in order to maintain ATP production over controls.

    Mitochondrial parameters were preserved in NM-LRRK2G2019S subjects in glucose media with respect to controls except for early MMP depolarization (54.14%, p = 0.04, Figs. 1a.8 and 2f) and increased mitochondrial network (38.32%, p = 0.04, Figs. 1a.11 and 3b).

    Fig. 2
    figure 2

    Mitochondrial function. Results are represented by mean ± SEM, comparing controls (n = 8; white bars), NM-LRRK2G2019S-mutation, (n = 6; grey bars) and PD-LRRK2G2019S (n = 7; black bars) in glucose and galactose media. a Citrate synthase levels remained constant between groups in both media. b A trend to decrease CI enzymatic activity in NM-LRRK2G2019S and PD-LRRK2G2019S was observed in glucose media, and PD-LRRK2G2019S patients harbouring the mutation increased their activity with respect to controls in galactose media (p = 0.04). c Oxygen consumption trended to reproduce the pattern of CI enzymatic activity. After exposure to galactose media, a non-significant increment in O2 consumption was observed in fibroblasts of NM-LRRK2G2019S subjects with respect to controls (p = 0.35). d Complex IV enzymatic function remained similar in all groups, showing a trend to increase in NM-LRRK2G2019S subjects with respect to controls in glucose and galactose media (p = 0.14 in both cases). e ATP levels tended to decrease in both groups in glucose media (p = 0.18 when comparing PD-LRRK2G2019S with controls). f Number of depolarized mitochondria was increased in NM-LRRK2G2019S when compared to controls in glucose media (p = 0.04), with the same trend observed for PD-LRRK2G2019S although without reaching statistical significance (p = 0.14). g Oxidative damage trended to increase in PD-LRRK2G2019S patients in both conditions when comparing them to controls. h Apoptotic rate tended to decrease in the NM-LRRK2G2019S group in both media

    Full size image
    Fig. 3
    figure 3

    Mitochondrial dynamics. a Representative images of mitochondrial network obtained by confocal microscopy. NM-LRRK2G2019S: Non-manifesting carriers of LRRK2G2019S-mutation; PD-LRRK2G2019S: patients with LRRK2G2019S-mutation and clinically manifest PD. b–e. Results are represented by mean ± SEM, comparing controls (n = 8; white bars), NM-LRRK2G2019S (n = 5, gray bars) and PD-LRRK2G2019S (n = 7; black bars) in glucose and galactose media. Briefly, in fibroblasts of NM-LRRK2G2019S a significant increase in mitochondrial network in standard conditions (glucose) was observed when compared to controls (b). When NM-LRRK2G2019S fibroblasts were subjected to mitochondrial challenging conditions (galactose), an improvement of mitochondrial dynamics was seen, by decreased circularity (c) and trends to increase form factor (e), accounting for longer, more branched mitochondria. Fibroblasts of PD-LRRK2G2019S showed a pattern similar to controls in standard (glucose) conditions and a handicapped response when exposed to mitochondrial challenging conditions (galactose) as shown by decreased aspect ratio (d), accounting for shorter mitochondria

    Full size image

    After galactose exposure, CI enzymatic function, O2 consumption stimulated for CI, CIV enzymatic function and ATP levels of NM-LRRK2G2019S trended to overcome the level of controls (76.92, 76.87, 88.48 and 61.98%; p = 0.18, p = 0.35, p = 0.14 and p = 0.76, respectively), suggesting an adaptation to mitochondrial challenging conditions (Figs. 1a.4–7 and 2b–e). Mitochondrial dynamics ameliorated in fibroblasts of NM-LRRK2G2019S with respect to controls when exposed to galactose medium, evidenced by 17.54% decreased circularity (p = 0.002) and 42.53% increased form factor (p = 0.051) (Fig. 1a.12, 14), accounting for longer, more branched mitochondria (Fig. 3c and e).

  2. b.

    PD-LRRK2G2019S showed mitochondrial alterations in glucose media, which were worsened when subjected to mitochondrial-challenging conditions, resulting in increased oxidative stress.

    In fibroblasts from PD-LRRK2G2019S patients in glucose media, CI enzyme function, O2 consumption stimulated for CI and ATP levels seemed to decrease with respect to controls (Figs. 1b.4, 5, 7 and 2b, c and e). Noticeably, although not significantly, depolarized mitochondria augmented to 101.34% (p = 0.14), accompanied by a 90% increase of oxidative stress (p = 0.46) with respect to controls (Figs. 1b.8, 9 and 2f, g).

    Exposure of PD-LRRK2G2019S fibroblasts to galactose media increased CI enzyme function compared to controls (84.62%, p = 0.04), but such increase was neither translated into heightened oxygen consumption, nor enhanced CIV enzyme function or ATP synthesis (Figs. 1b.4, 7 and 2b–e), as formerly observed in asymptomatic carriers. Instead, oxidative damage increased 144.64% (p = 0.13) (Figs. 1b.9 and 2g) and, in detriment to mitochondrial dynamics, aspect ratio decreased 37.7% (p = 0.053) after exposure to mitochondrial challenging conditions (Figs. 1b.13 and 3d).

Autophagy

Figure 4 summarizes the autophagic characterization, and raw data of experimental parameters is provided in Additional file 4: Table S2.

Fig. 4
figure 4

Autophagy. a Representative images (original images have been cropped and are available at request) of autophagy markers measured by Western blot comparing: NM-LRRK2G2019S: Non-manifesting carriers of LRRK2G2019S-mutation; PD-LRRK2G2019S: patients with LRRK2G2019S-mutation and clinically manifest PD. (SQSTM1/p62)/β-actin: Autophagy substrate, LC3B-I/β-actin: autophagy receptor, basal form. LC3B-II/β-actin: autophagy receptor, lipidated form. b Representative images of autophagosome formation (UT) and accumulation after 8 h of treatment with 100 nM bafilomycin (BAF) obtained by confocal microscopy. c, d Results are represented by mean ± SEM, comparing controls (n = 8; white bars), NM-LRRK2G2019S-mutation (n = 6, gray bars) and PD-LRRK2G2019S (n = 7; black bars) in either glucose or galactose media and at basal state, and after 4 and 8 h treatment with bafilomycin (0, 4, 8). Autophagy initiation was upregulated in NM-LRRK2G2019S subjects in glucose and galactose media when compared to controls (+ 118.4% SQSTM1/P62, p = 0.014 and + 114.44% SQSTM1/P62, p = 0.009, respectively) and trends to increase autophagy substrate were observed in PD-LRRK2G2019S in both media (c). Autophagosome formation trended to increase at 4 and 8 h of bafilomycin treatment in NM-LRRK2G2019S and was significantly decreased in PD-LRRK2G2019S when compared to NM-LRRK2G2019S subjects in glucose media at 4 and 8 h of bafilomycin treatment (− 79 to 86%, p = 0.042 and − 71.26%, p = 0.22 respectively) (d)

Full size image
  1. a.

    Autophagy initiation signalling increased in NM-LRRK2G2019S subjects in glucose and galactose media, but autophagosome formation was only upregulated in glucose media.

    A significant increase in autophagy substrate expression (SQSTM1/p62) in fibroblasts of NM-LRRK2G2019S was observed when compared to controls in glucose media (118.4%, p = 0.014), and in galactose, after 4 h of bafilomycin exposure (114.44% increase, p = 0.009) (Fig. 4c). These increased signalling for autophagy initiation was accompanied by trends to increase autophagosome formation at 4 and 8 h of bafilomycin treatment (LC3BII/βactin: + 145.22% and + 287.21%, respectively, p = 0.051) when compared to controls in glucose media, but not in galactose media, where autophagosome formation seemed to be decreased (Fig. 4d).

  2. b.

    Autophagosome formation was decreased in PD-LRRK2G2019S despite increased autophagy initiation in both media.

    Autophagy substrate expression was increased in PD-LRRK2G2019S after 8 h of bafilomycin treatment in glucose media (226.14%., p = 0.04) and at 4 h in galactose media when compared to controls (78.5%, p = 0.02) (Fig. 4c). However, these increased signalling for autophagy initiation was not accompanied by autophagosome formation in any media, and a significant decrease in LC3BII levels was demonstrated when compared to NM-LRRK2G2019S subjects at 4 and 8 h of bafilomycin treatment in glucose media (− 79 to 86%, p = 0.042 and − 71.26%, p = 0.22 respectively) (Fig. 4d).

Discussion

The main contribution of this study was the exhaustive analysis of mitochondrial phenotype and autophagic print of fibroblasts from LRRK2G2019S mutation carriers with and without clinical evidence of parkinsonism in glucose and galactose media. Briefly, this study suggests that the exhaustion of mitochondrial bioenergetic and autophagic reserve play a role in the onset of LRRK2G2019S-associated PD.

Mainly, in standard conditions (glucose), the NM-LRRK2G2019S fibroblasts showed a preserved mitochondrial phenotype, except for a significant disruption of MMP that may represent an early event in PD [14, 38,39,40]. In response to mitochondrial-challenging conditions (galactose), a pattern of mitochondrial enzymatic and respiratory function enhancement was observed, resulting in an increase of ATP production and morphological features characteristic of improved mitochondrial dynamics. In PD-LRRK2G2019S fibroblasts, bias toward deranged mitochondrial phenotype were found in glucose media, such as decreased CI enzyme function, oxygen consumption and ATP production, and increased oxidative stress. Exposure to galactose revealed an inefficient increase in mitochondrial function, trends to increase oxidative stress and deranged mitochondrial dynamics. The most differential response between NM-LRRK2G2019S subjects and PD-LRRK2G2019S patients in mitochondrial functional and dynamic parameters was shown in response to mitochondrial-challenging conditions. In accordance to literature, mitochondrial defects were evidenced in galactose media [22], which leads us to hypothesize that, given their oxidative metabolism and postmitotic nature, neurons may be permanently damaged by mitochondrial and autophagic alterations that in peripheral tissues may be negligible [41, 42]. Ergo, a deficient mitochondrial functional reserve may underlie the onset of LRRK2G2019S-associated PD. The link between mitochondrial health and autophagy initiation may be deduced from these findings, but needs to be assessed in more detail.

Recent reports have described differential mitochondrial functional phenotypes in idiopathic and some monogenic forms of PD [43,44,45]. Our study partially reproduces the mitochondrial phenotype described by Mortiboys et al. [17], where CI enzyme activity, oxygen consumption and ATP levels progressively decreased in NM-LRRK2G2019S and PD-LRRK2G2019S. Papkovskaia et al. [39] also found decreased ATP levels and depolarization in fibroblasts of PD-LRRK2G2019S.

Oxidative stress is a hallmark of mitochondrial involvement on PD and neurodegeneration [11, 46]. Our results are in accordance with Grünewald et al. [40], who found increased levels of the antioxidant superoxide dismutase, but no significant alteration of oxidative stress in fibroblasts of NM-LRRK2G2019S, suggesting the existence of compensatory mechanisms against early-stage production of ROS. Liou et al. [47], reported a protective effect against oxidative stress-mediated apoptosis mediated by wild type LRRK2 which is lost in PD-associated mutations. In our study, trends towards reduced apoptosis in NM-LRRK2G2010S in spite of increased oxidative stress was found, which suggests the existence of other protecting mechanisms that are yet to be described.

This study corroborated the impairment in mitochondrial dynamics in PD-LRRK2G2019S patients described by others [17, 31, 40, 48]. Additionally, a healthier pattern in mitochondrial dynamics in NM-LRRK2G2019S subjects was demonstrated. Whether alterations in mitochondrial dynamics are the cause or consequence of mitochondrial dysfunction, and the mechanism by which LRRK2 mediates such alterations, is still a matter of debate [3].

Trends towards upregulation in autophagy in NM-LRRK2G2019S were observed, which may be explained by any of the previously described effects of LRRK2G2019S mutation in autophagy [49,50,51] or by an increased attempt to eliminate damaged sub cellular compounds. A further increase in autophagy initiation signalling in PD-LRRK2G2019S patients was found, probably in response to mitochondrial dysfunction and the resulting decrease in ATP levels evidenced by galactose exposure [13, 52].

However, the inability to continue with autophagosome formation and closure, and the resulting accumulation of damaged mitochondria among other waste product of cell metabolism, may explain the pathologic state in this group. Further studies should confirm the present findings, where mitophagy and autophagic flux may be characterized in more detail [53].

This is the first study reporting that the exposition of fibroblasts from NM-LRRK2G2019S to mitochondrial challenging conditions tends to enhance mitochondrial performance, even above the values of controls. We hypothesize that such improvement represents a biological rescue mechanism characteristic of NM-LRRK2G2019S, which may protect from the development of symptoms by compensating an increased bioenergetic cell demand or early mitochondrial damage. It may be deduced that mitochondrial and autophagic optimal function could have a protective role in mutation carriers who have not yet developed symptoms of PD. Mitochondria from NM-LRRK2G2019S may retain the capacity to raise their activity until a maximal threshold beyond which PD clinical manifestations can appear.

On account of the above, our results suggest that LRRK2G2019S-mutation by itself may not determine the development of clinical manifest PD [2, 52, 54], in accordance with other previous studies where NM-LRRK2G2019S subjects perform as good as controls in motor [18], neuropsychological [55] and neuroimaging tests [56]. Scientific efforts focused on promoting mitochondrial optimal performance and autophagy regulation should be translated into prophylactic measures which modify the natural history of PD.

In regard to the experimental model used in this study, the exposure to oxidative metabolism through galactose media unveiled a differential mitochondrial phenotype that may reproduce that of neurons. Herein, we suggest that alternative models of PD should also be tested in oxidative conditions [41].

Some limitations in the present study must be acknowledged. Although the study of rare forms of PD due to inherited mutations reduces the potential study of bigger cohorts, the small sample size of this study may explain a common pitfall of the reported outcomes, which is the limited number of significant differences. Additionally, the inter-individual variability in environmental conditions potentially influencing molecular parameters may also hinder the homogeneity of the distinct groups. There is a positive correlation between age and PD onset in LRRK2G2019S mutation carriers [2], suggesting that some NM-LRRK2G2019S may eventually develop PD. However, it must be emphasized that no age related differences in mitochondrial and autophagic parameters were observed. Finally, many other molecular triggers may be taking place in PD, where the loss of dopaminergic neurons may be the common manifestation of a complex disease where mitochondrial alterations and autophagic deregulation are only one of manifold molecular events leading to neurodegeneration.

Conclusions

Enhanced mitochondrial performance of NM-LRRK2G2019S in mitochondrial-challenging conditions and upregulation of autophagy suggests that an exhaustion of mitochondrial bioenergetic and autophagic reserve, may contribute to the development of PD in LRRK2G2019S mutation carriers.

Abbreviations

PD:

Parkinson’s disease

LRRK2:

leucine rich repeat kinase 2

LRRK2 G2019S :

LRRK2G2019S-mutation

NM-LRRK2 G2019S :

LRRK2G2019S-carriers without PD symptoms

PD-LRRK2 G2019S :

LRRK2G2019S-carriers diagnosed with PD

ATP:

adenosine triphosphate

MMP:

mitochondrial membrane potential

mtDNA:

mitochondrial DNA

mtRNA:

mitochondrial RNA

VDAC:

voltage-dependent anion channel

COXII:

cytochrome oxidase subunit II

COXIV:

cytochrome oxidase subunit IV

MRC:

mitochondrial respiratory chain

CI:

Complex I of the MRC

CIV:

Complex IV of the MRC

CS:

citrate synthase

PMox:

oxygen consumption was assessed through pyruvate-malate oxidation

MDA:

malondialdehyde

HAE:

4-hydroxyalkenal

ROS:

reactive oxygen species

Circ:

circularity

AR:

aspect ratio

FF:

form factor

(SQSTM/p62)/β-actin:

autophagy substrate

LC3BII/β-actin:

autophagy receptor, lipidated form

SEM:

standard error of the mean

PCA:

principal component analysis

References

  1. Corti O, Lesage S, Brice A. What genetics tells us about the causes and mechanisms of Parkinson’s disease. Physiol Rev. 2011;91:1161–218.

    Article  PubMed  CAS  Google Scholar 

  2. Healy DG, Falchi M, O’Sullivan SS, Bonifati V, Durr A, Bressman S, et al. Phenotype, genotype, and worldwide genetic penetrance of LRRK2-associated Parkinson’s disease: a case-control study. Lancet Neurol. 2008;7:583–90.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  3. Wallings R, Manzoni C, Bandopadhyay R. Cellular processes associated with LRRK2 function and dysfunction. FEBS J. 2015;282:2806–26.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Ozelius LJ, Senthil G, Saunders-Pullman R, Ohmann E, Deligtisch A, Tagliati M, et al. LRRK2 G2019S as a cause of Parkinson’s disease in Ashkenazi Jews. N Engl J. 2006;354:424–5.

    Article  CAS  Google Scholar 

  5. Gaig C, Ezquerra M, Marti MJ, Muñoz E, Valldeoriola F, Tolosa E. LRRK2 mutations in Spanish patients with Parkinson disease. Arch Neurol. 2006;63:377.

    Article  PubMed  Google Scholar 

  6. Dächsel JC, Behrouz B, Yue M, Beevers JE, Melrose HL, Farrer MJ. A comparative study of Lrrk2 function in primary neuronal cultures. Parkinsonism Relat Disord. 2010;16:650–5.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Orenstein SJ, Kuo S-H, Tasset I, Arias E, Koga H, Fernandez-Carasa I, et al. Interplay of LRRK2 with chaperone-mediated autophagy. Nat Neurosci. 2013;16:394–406.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Cookson MR. LRRK2 pathways leading to neurodegeneration. Curr Neurol Neurosci Rep. 2015;15:42.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Migheli R, Del Giudice MG, Spissu Y, Sanna G, Xiong Y, Dawson TM, et al. LRRK2 affects vesicle trafficking, neurotransmitter extracellular level and membrane receptor localization. PLoS ONE. 2013;8:e77198.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. Esteves AR, Swerdlow RH, Cardoso SM. LRRK2, a puzzling protein: insights into Parkinson’s disease pathogenesis. Exp Neurol. 2014;261:206–16.

    Article  PubMed  CAS  Google Scholar 

  11. Haelterman NA, Yoon WH, Sandoval H, Jaiswal M, Shulman JM, Bellen HJ. A mitocentric view of Parkinson’s disease. Annu Rev Neurosci. 2014;37:137–59.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Nixon RA. The role of autophagy in neurodegenerative disease. Nat Med. 2013;19:983–97.

    Article  PubMed  CAS  Google Scholar 

  13. Sánchez-Danés A, Richaud-Patin Y, Carballo-Carbajal I, Jiménez-Delgado S, Caig C, Mora S, et al. Disease-specific phenotypes in dopamine neurons from human iPS-based models of genetic and sporadic Parkinson’s disease. EMBO Mol Med. 2012;4:380–95.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Mortiboys H, Johansen KK, Aasly JO, Bandmann O. Mitochondrial impairment in patients with Parkinson disease with the G2019S mutation in LRRK2. Neurology. 2010;75:2017–20.

    Article  PubMed  CAS  Google Scholar 

  15. Kordower JH, Olanow CW, Dodiya HB, Chu Y, Beach TG, Adler CH, et al. Disease duration and the integrity of the nigrostriatal system in Parkinson’s disease. Brain. 2013;136:2419–31.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Pont-Sunyer C, Tolosa E, Caspell-Garcia C, Coffey C, Alcalay RN, Chan P, et al. The prodromal phase of leucine-rich repeat kinase 2-associated Parkinson disease: clinical and imaging studies. Mov Disord. 2017;32:726–38.

    Article  PubMed  CAS  Google Scholar 

  17. Mortiboys H, Furmston R, Bronstad G, Aasly J, Elliott C, Bandmann O. UDCA exerts beneficial effect on mitochondrial dysfunction in LRRK2(G2019S) carriers and in vivo. Neurology. 2015;85:846–52.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Marras C, Schuele B, Munhoz RP, Rogaeva E, Langston JW, Kasten M, et al. Phenotype in parkinsonian and nonparkinsonian LRRK2 G2019S mutation carriers. Neurology. 2011;77:325–33.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Jiang P, Dickson DW. Parkinson’s disease: experimental models and reality. Acta Neuropathol. 2017;135:13–32.

    Article  PubMed  CAS  Google Scholar 

  20. Alberio T, Lopiano L, Fasano M. Cellular models to investigate biochemical pathways in Parkinson’s disease. FEBS J. 2012;279:1146–55.

    Article  PubMed  CAS  Google Scholar 

  21. Smith GA, Jansson J, Rocha EM, Osborn T, Hallett PJ, Isacson O. Fibroblast biomarkers of sporadic Parkinson’s disease and LRRK2 kinase inhibition. Mol Neurobiol. 2016;53(8):5161–77.

    Article  PubMed  CAS  Google Scholar 

  22. Aguer C, Gambarotta D, Mailloux RJ, Moffat C, Dent R, McPherson R, et al. Galactose enhances oxidative metabolism and reveals mitochondrial dysfunction in human primary muscle cells. PLoS ONE. 2011;6:e28536.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Hughes AJ, Ben-Shlomo Y, Daniel SE, Lees AJ. What features improve the accuracy of clinical diagnosis in Parkinson’s disease: a clinicopathologic study. Neurology. 1992;42:1142–6.

    Article  PubMed  CAS  Google Scholar 

  24. Morén C, Juárez-Flores D, Cardellach F, Garrabou G. The role of therapeutic drugs on acquired mitochondrial toxicity. Curr Drug Metab. 2016;17:1–1.

    Article  CAS  Google Scholar 

  25. Morén C, Noguera-Julián A, Garrabou G. Mitochondrial disturbances in HIV pregnancies. Aids. 2015;29:5–12.

    Article  PubMed  CAS  Google Scholar 

  26. Garrabou G, Morén C, Gallego-Escuredo JM, Milinkovic A, Villarroya F, Negredo E, et al. Genetic and functional mitochondrial assessment of HIV-infected patients developing HAART-related hyperlactatemia. JAIDS J Acquir Immune Defic Syndr. 2009;52:443–51.

    Article  PubMed  CAS  Google Scholar 

  27. Pesta D, Gnaiger E. High-resolution respirometry: OXPHOS protocols for human cells and permeabilized fibers from small biopsies of human muscle. Methods Mol Biol. 2012;810:25–58.

    Article  PubMed  CAS  Google Scholar 

  28. Morén C, Garrabou G, Noguera-Julian A, Rovira N, Catalán M, Hernández S, et al. Study of oxidative, enzymatic mitochondrial respiratory chain function and apoptosis in perinatally HIV-infected pediatric patients. Drug Chem Toxicol. 2013;36:496–500.

    Article  PubMed  CAS  Google Scholar 

  29. Catalán-García M, Garrabou G, Morén C, Guitart-Mampel M, Hernando A, Díaz-Ramos À, et al. Mitochondrial DNA disturbances and deregulated expression of oxidative phosphorylation and mitochondrial fusion proteins in sporadic inclusion body myositis. Clin Sci. 2016;130:1741–51.

    Article  PubMed  Google Scholar 

  30. Lugli E, Troiano L, Ferraresi R, Roat E, Prada N, Nasi M, et al. Characterization of cells with different mitochondrial membrane potential during apoptosis. Cytom Part A. 2005;68A:28–35.

    Article  CAS  Google Scholar 

  31. Su Y-C, Qi X. Inhibition of excessive mitochondrial fission reduced aberrant autophagy and neuronal damage caused by LRRK2 G2019S mutation. Hum Mol Genet. 2013;22:4545–61.

    Article  PubMed  CAS  Google Scholar 

  32. Alvarez-Mora MI, Rodriguez-Revenga L, Madrigal I, Guitart-Mampel M, Garrabou G, Milà M. Impaired mitochondrial function and dynamics in the pathogenesis of FXTAS. Mol Neurobiol. 2017;54:6896–902.

    Article  PubMed  CAS  Google Scholar 

  33. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9:676–82.

    Article  PubMed  CAS  Google Scholar 

  34. Dagda RK, Chu CT. Mitochondrial quality control: insights on how Parkinson’s disease related genes PINK1, parkin, and Omi/HtrA2 interact to maintain mitochondrial homeostasis. J Bioenerg Biomembr. 2010;41:473–9.

    Article  CAS  Google Scholar 

  35. Rubinsztein DC, Cuervo AM, Ravikumar B, Sarkar S, Korolchuk V, Kaushik S, et al. In search of an “autophagomometer”. Autophagy. 2009;5:585–9.

    Article  PubMed  CAS  Google Scholar 

  36. Klionsky DJ, Abdelmohsen K, Abe A, Abedin MJ, Abeliovich H, Arozena AA, et al. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy. 2016;12:1.

    Article  PubMed  PubMed Central  Google Scholar 

  37. R Core Team. R: a language and environment for computing. Vienna: R Foundation for Statistical Computing; 2017.

    Google Scholar 

  38. Esteves AR, G-Fernandes M, Santos D, Januário C, Cardoso SM. The upshot of LRRK2 inhibition to Parkinson’s disease paradigm. Mol Neurobiol. 2015;52:1804–20.

    Article  PubMed  CAS  Google Scholar 

  39. Papkovskaia TD, Chau K-Y, Inesta-Vaquera F, Papkovsky DB, Healy DG, Nishio K, et al. G2019S leucine-rich repeat kinase 2 causes uncoupling protein-mediated mitochondrial depolarization. Hum Mol Genet. 2012;21:4201–13.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. Grünewald A, Arns B, Meier B, Brockmann K, Tadic V, Klein C. Does uncoupling protein 2 expression qualify as marker of disease status in LRRK2-associated Parkinson’s disease? Antioxid Redox Signal. 2014;20:1955–60.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  41. Hall CN, Klein-Flügge MC, Howarth C, Attwell D. Oxidative phosphorylation, not glycolysis, powers presynaptic and postsynaptic mechanisms underlying brain information processing. J Neurosci. 2012;32:8940–51.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  42. Cha M-Y, Kim DK, Mook-Jung I. The role of mitochondrial DNA mutation on neurodegenerative diseases. Exp Mol Med. 2015;47:e150.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  43. Lopez-Fabuel I, Martin-Martin L, Resch-Beusher M, Azkona G, Sanchez-Pernaute R, Bolaños JP. Mitochondrial respiratory chain disorganization in Parkinson’s disease-relevant PINK1 and DJ1 mutants. Neurochem Int. 2017;109:101–5.

    Article  PubMed  CAS  Google Scholar 

  44. Ryan BJ, Hoek S, Fon EA, Wade-Martins R. Mitochondrial dysfunction and mitophagy in Parkinson’s: from familial to sporadic disease. Trends Biochem Sci. 2015;40:200–10.

    Article  PubMed  CAS  Google Scholar 

  45. Mortiboys H, Thomas KJ, Koopman WJH, Klaffke S, Abou-Sleiman P, Olpin S, et al. Mitochondrial function and morphology are impaired in parkin-mutant fibroblasts. Ann Neurol. 2008;64:555–65.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  46. Keeney PM, Xie J, Capaldi RA, Bennett JP. Parkinson’s disease brain mitochondrial complex I has oxidatively damaged subunits and is functionally impaired and misassembled. J Neurosci. 2006;26:5256–64.

    Article  PubMed  CAS  Google Scholar 

  47. Liou AKF, Leak RK, Li L, Zigmond MJ. Wild-type LRRK2 but not its mutant attenuates stress-induced cell death via ERK pathway. Neurobiol Dis. 2008;32:116–24.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  48. Su B, Wang X, Zheng L, Perry G, Smith MA, Zhu X. Abnormal mitochondrial dynamics and neurodegenerative diseases. Biochim Biophys Acta. 2010;1802:135–42.

    Article  PubMed  CAS  Google Scholar 

  49. Manzoni C. The LRRK2-macroautophagy axis and its relevance to Parkinson’s disease. Biochem Soc Trans. 2017;45:155–62.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  50. Bravo-San Pedro JM, Niso-Santano M, Gómez-Sánchez R, Pizarro-Estrella E, Aiastui-Pujana A, Gorostidi A, et al. The LRRK2 G2019S mutant exacerbates basal autophagy through activation of the MEK/ERK pathway. Cell Mol Life Sci. 2013;70:121–36.

    Article  PubMed  CAS  Google Scholar 

  51. Bang Y, Kim K-S, Seol W, Choi HJ. LRRK2 interferes with aggresome formation for autophagic clearance. Mol Cell Neurosci. 2016;75:71–80.

    Article  PubMed  CAS  Google Scholar 

  52. Manzoni C, Mamais A, Dihanich S, McGoldrick P, Devine MJ, Zerle J, et al. Pathogenic Parkinson’s disease mutations across the functional domains of LRRK2 alter the autophagic/lysosomal response to starvation. Biochem Biophys Res Commun. 2013;441:862–6.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. Loos B, du Toit A, Hofmeyr J-HS. Defining and measuring autophagosome flux—concept and reality. Autophagy. 2014;10:2087–96.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  54. Infante J, Prieto C, Sierra M, Sánchez-Juan P, González-Aramburu I, Sánchez-Quintana C, et al. Comparative blood transcriptome analysis in idiopathic and LRRK2 G2019S-associated Parkinson’s disease. Neurobiol Aging. 2016;38:214.e1–5.

    Article  CAS  Google Scholar 

  55. Lohmann E, Leclere L, De Anna F, Lesage S, Dubois B, Agid Y, et al. A clinical, neuropsychological and olfactory evaluation of a large family with LRRK2 mutations. Parkinsonism Relat Disord. 2009;15:273–6.

    Article  PubMed  Google Scholar 

  56. Brockmann K, Gröger A, Di Santo A, Liepelt I, Schulte C, Klose U, et al. Clinical and brain imaging characteristics in leucine-rich repeat kinase 2-associated PD and asymptomatic mutation carriers. Mov Disord. 2011;26:2335–42.

    Article  PubMed  Google Scholar 

Download references

Authors’ contributions

GG obtained funds to support the study. GG and CM conceived the study and organized the project in collaboration with RF and ME. MJ and ET were responsible for the diagnosis and inclusion of all patients and collected clinical data. RF and ME obtained fibroblasts, participated in the first phase of cell culture and performed genetic testing and identification of mutations. All of the experimental, data collection and statistical analysis was closely supervised by GG and CM. DJ, with help from IG, MG and MB performed fibroblast culture, performed experimental procedures for mitochondrial function and dynamics phenotyping and analysis of this data. DJ, together with MC and JR performed the experimental analysis of the amounts of mtDNA and mtRNA and analysis of mitochondrial protein content by Western blotting. DJ and IG performed autophagy print blotting, with the assistance of JM. ET provided technical assistance for reactive preparation. DJ and IG created a database to collect all clinical and experimental parameters and performed the statistical analysis of the data, under the supervision of GG, CM and FC. FC-P performed PCA and interpreted these results. The first draft for this manuscript was written by DJ, and RF, FC, GG and CM profoundly reviewed and critiqued the manuscript, adding concepts of high relevance. All authors participated in the revision of the manuscript, in accordance with the ICMJE criteria. GG: Glòria Garrabou, CM: Constanza Morén, MJ: María Jose Marti, ET: Eduard Tolosa, RF: Rubén Fernández-Santiago, ME: Mario Ezquerra, DJ: Diana Luz Juárez-Flores, IG: Ingrid González-Casacuberta, MG: Mariona Guitart-Mampel, MB: Maria Bañó, MC: Marc Catalán-García, JR: Juan José Rivero, JM: Jose Milisenda, ET: Ester Tobias, FC:Francesc Cardellach, FC-P:Francesc Carmona Pontaque. All authors read and approved the final manuscript.

Acknowledgements

The authors would like to thank Melissa Gabriela Altaparro for her counseling in English language writing. We also thank Anna Bosch, Elisenda Coll and Maria Calvo from the Advanced Optical Microscopy department of the University of Barcelona for their support with confocal microscopy.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The study was approved by the ethics committee of the Hospital Clínic of Barcelona (Spain) and by the Commission on Guarantees for Donation and Use of Human Tissues and Cells of the Instituto de Salud Carlos III (ISCIII). Every participant signed a written consent form, according to the Declaration of Helsinki.

Funding

This work was supported by Fondo de Investigación Sanitaria (FIS) ISCIII [PI11/00462], Fundació Privada Cellex [CP042187], CIBER de Enfermedades Raras (an initiative of Instituto de Salud Carlos III [ISCIII] and FEDER), Suports a Grups de Recerca de la Generalitat de Catalunya 2014/2016 [SGR 893/2017] and CERCA Programme from the Generalitat de Catalunya and Consejo Nacional de Ciencia y Tecnología from México (CONACyT).

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations

  1. Laboratory of Muscle Research and Mitochondrial Function-CELLEX, Institut d‘Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Department of Internal Medicine-Hospital Clínic of Barcelona, Faculty of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Spain

    Diana Luz Juárez-Flores, Ingrid González-Casacuberta, María Bañó, Marc Catalán-García, Mariona Guitart-Mampel, Juan José Rivero, Ester Tobias, Jose Cesar Milisenda, Francesc Cardellach, Constanza Morén & Glòria Garrabou

  2. Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain

    Diana Luz Juárez-Flores, Ingrid González-Casacuberta, María Bañó, Marc Catalán-García, Mariona Guitart-Mampel, Juan José Rivero, Ester Tobias, Jose Cesar Milisenda, Francesc Cardellach, Constanza Morén & Glòria Garrabou

  3. Laboratory of Parkinson disease and other Neurodegenerative Movement Disorders: Clinical and Experimental Research, Department of Neurology, Hospital Clínic of Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona (UB), Barcelona, Spain

    Mario Ezquerra, Eduard Tolosa, Maria Jose Marti & Ruben Fernández-Santiago

  4. CIBER de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain

    Mario Ezquerra, Eduard Tolosa, Maria Jose Marti & Ruben Fernández-Santiago

  5. Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain

    Francesc Carmona-Pontaque

Authors
  1. Diana Luz Juárez-Flores
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ingrid González-Casacuberta
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mario Ezquerra
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. María Bañó
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Francesc Carmona-Pontaque
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Marc Catalán-García
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Mariona Guitart-Mampel
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Juan José Rivero
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Ester Tobias
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Jose Cesar Milisenda
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Eduard Tolosa
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Maria Jose Marti
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Ruben Fernández-Santiago
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Francesc Cardellach
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Constanza Morén
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Glòria Garrabou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Constanza Morén or Glòria Garrabou.

Additional files

Additional file 1: Materials and methods.

This part of additional material is provided in a separate word document named “Additional material, materials and methods”.

Additional file 2: Table S1.

Clinical characteristics of PD-LRRK2G2019S patients (n=7). The following legend accompanies the table: NM-LRRK2G2019S: Non-manifesting carriers of LRRK2G2019S-mutation; PD-LRRK2G2019S: patients with LRRK2G2019S-mutation and clinically manifest PD.

Additional file 3: Figure S1.

Principal component analysis (PCA) for patients and controls in the different media. Variables factor map showing that individual variability in glucose media (A) was best expressed by mitochondrial dynamics parameters -circularity and mitochondrial network- for component 1 (horizontal axis), and autophagy parameters for component 2 (vertical axis). When subjected to mitochondrial challenging conditions (B), circularity expressed the greatest variability for component 1 (horizontal axis), and MMP better expressed component 2 variability (vertical axis). The longer vectors and those which are more aligned to the corresponding axis (depicted as dotted lines) are the ones with the greatest variability among individuals, which interestingly have been documented to be associated with PD, despite none of the parameters represent a greater variability between groups. MtDNA: mitochondrial-DNA; mtRNA: mitochondrial-RNAVDAC/βactin: Mitochondrial content; COXII/βactin: Mitochondrial encoded protein content COXIV/βactin; Nuclear encoded protein content; CI: Complex I enzymatic function; PMox: oxygen consumption stimulated by pyruvate-malate; CIV: Complex IV enzymatic function; MMP: Mitochondrial membrane potential; OE: Oxidative stress; Circ: Circularity; P62: Autophagy substrate LC3BI: Autophagy receptor, basal form; LC3BII: Lipidated form of the autophagy receptor, LC3BII/LC3BI: autophagic turnover, LC3BII/P62: autophagic flux.

Additional file 4: Table S2.

Raw data of mitochondrial phenotype and autophagic print parameters. The following legend accompanies the table: Glu: glucose; Gal: galactose; NM-LRRK2G2019S: Non-manifesting carriers of LRRK2G2019S-mutation; PD- LRRK2G2019S: patients with LRRK2G2019S -mutation and clinically manifest PD; mtDNA: Mitochondrial DNA; mtRNA: Mitochondrial RNA; CI: Complex I; O2 consumption stimulated for CI: Oxygen consumption stimulated for Complex I substrates (pyruvate, malate and glutamate); CIV: Complex IV. Pa. P value when comparing NM-LRRK2G2019S vs. controls; Pb. P value when comparing PD- LRRK2G2019S vs. controls; Pc. P value when comparing NM-LRRK2G2019S vs. PD-LRRK2G2019S.

Additional file 5: Figure S2.

Genetics and mitochondrial protein synthesis. Results are represented by means ± SEM, comparing controls (white bars), non-manifesting carriers of LRRK2G2019S-mutation, (NM-LRRK2G2019S, grey bars) and patients with LRRK2G2019S-mutation and clinically manifest PD (PD-LRRK2G2019S, black bars) in glucose and galactose media. A. Mitochondrial DNA was conserved in both groups and media. B. Mitochondrial RNA levels were significantly decreased in NM-LRRK2G2019S when compared to controls in galactose media C-E. Cell growth, mitochondrial content and protein synthesis did not show differences between groups, in either condition. F. Representative image of Western Blot of mitochondrial proteins in either glucose (Glu) or galactose (Gal) media of the three cohorts studied, the original Blott has been cropped for its better visualization, complete images can be provided at request.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Juárez-Flores, D.L., González-Casacuberta, I., Ezquerra, M. et al. Exhaustion of mitochondrial and autophagic reserve may contribute to the development of LRRK2G2019S-Parkinson’s disease. J Transl Med 16, 160 (2018). https://doi.org/10.1186/s12967-018-1526-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12967-018-1526-3

Keywords

Journal of Translational Medicine

ISSN: 1479-5876

Contact us