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. Author manuscript; available in PMC: 2021 Aug 1.
Published in final edited form as: J Bone Miner Res. 2020 May 15;35(8):1504–1524. doi: 10.1002/jbmr.4019

Hypoxic regulation of mitochondrial metabolism and mitophagy in nucleus pulposus cells is dependent on HIF-1α -BNIP3 axis

Vedavathi Madhu 1, Paige K Boneski 1, Elizabeth Silagi 1,2, Yunping Qiu 3, Irwin Kurland 3, Anyonya R Guntur 4, Irving M Shapiro 1,2, Makarand V Risbud 1,2
PMCID: PMC7778522  NIHMSID: NIHMS1656878  PMID: 32251541

Abstract

Nucleus pulposus (NP) cells reside in an avascular and hypoxic microenvironment of intervertebral discs and are predominantly glycolytic due to robust HIF-1 activity. It is generally thought that NP cells contain few functional mitochondria compared to cells that rely on oxidative metabolism. Consequently, the contribution of mitochondria to NP cell metabolism and the role of hypoxia and HIF-1 in mitochondrial homeostasis is poorly understood. Using mitoQC reporter mice, we show for the first time that NP cell mitochondria undergo age-dependent mitophagy in vivo. Mechanistically, in vitro studies suggest that, under hypoxic conditions, mitochondria in primary NP cells undergo HIF-1α dependent fragmentation, controlled by modulating the levels of key proteins DRP1 and OPA1 that are involved in mitochondrial fission and fusion respectively. Seahorse assays and steady state metabolic profiling coupled with [1–2-13C]-glucose flux analysis revealed that in hypoxia, HIF-1α regulated metabolic flux through coordinating glycolysis and the mitochondrial TCA cycle interactions, thereby controlling the overall biosynthetic capacity of NP cells. We further show that hypoxia and HIF-1α trigger mitophagy in NP cells through the mitochondrial translocation of BNIP3, an inducer of receptor-mediated mitophagy. Surprisingly, however, loss of HIF-1α in vitro and analysis of NP-specific HIF-1α null mice do not show a decrease in mitophagic flux in NP cells but a compensatory increase in NIX and PINK1-Parkin pathways with higher mitochondrial number. Taken together, our studies provide novel mechanistic insights into the complex interplay between hypoxia and HIF-1α signaling on the mitochondrial metabolism and quality control in NP cells.

Keywords: Mitophagy, intervertebral disc, nucleus pulposus, mitochondria, metabolism, hypoxia, HIF-1α, BNIP3, PINK1-Parkin, mouse model

Introduction

The intervertebral disc is a specialized biomechanical tissue that permits motion between the adjacent vertebrae and absorbs mechanical forces applied to the spine. The disc is comprised of three tissue compartments: the outer, annulus fibrosus (AF), the inner nucleus pulposus (NP), and the superior and inferior cartilaginous endplates. Disc degeneration is characterized by increased matrix catabolism, fibrosis accompanied by changes in cell phenotype.(1–3) There is a strong link between intervertebral disc degeneration and chronic low back and neck-pain, the leading causes of disability worldwide.(4, 5) Notably, intervertebral disc is the largest avascular tissue in mammals and due to a complete lack of tissue vascularity; NP cells reside in a physiologically hypoxic environment. As a consequence, these cells primarily reply on glycolytic metabolism for energy production. HIF-1α, a master transcription factor robustly expressed in the NP, adapts the cells to hypoxia by up regulating glycolysis.(6–8) Moreover, NP cells are generally believed to contain few functional mitochondria compared to cells that rely on oxidative metabolism.(9) It is therefore not surprising that a foundational understanding of mitochondrial metabolism in NP cells does not exist and mitochondrial homeostasis in hypoxic NP has yet to be established. One of the consequences of the unique niche conditions is that the disc tissues exhibit very limited regenerative capacity with age and trauma.(10) Furthering our understanding of the biology of the disc cells and their metabolism may offer avenues for future regenerative therapies.

As highly dynamic organelles, mitochondria number and mass is regulated through constant fusion and fission events. This balance is largely mediated through DRP1, a fission protein, recruited to the outer mitochondrial membrane by MFF and fusion proteins MFN1, MFN2 and OPA1.(11,12) During fragmentation, DRP1 assembles into a spiral at the center of mitochondria pinching off membrane.(13) On the other hand, mitochondrial fusion is a two-step process: MFN1 and MFN2 facilitate fusion of outer membrane followed by OPA1 mediating fusion of the inner membrane.(14) Consequently two adjacent mitochondria fuse together promoting membrane tubulation and elongation. Mitochondria are thus able to modulate stress and energy demands by diffusing and sharing components with damaged organelles. (15) There is a mounting evidence that hypoxia plays a role in both fission and fusion events. (16–19) Accordingly, studies have shown that hypoxia increases mitochondrial fission in pancreatic beta cells, (16) neurons, (17) and vascular endothelial cells,(18) whereas increasing fusion in prostate and colorectal adenocarcinoma cells through Mfn1.(19) These studies clearly suggest that the actions of hypoxia on mitochondrial dynamics are cell-type specific.

Mitochondria-specific autophagy, or mitophagy, is generally associated with fission events where it serves to remove damaged mitochondria and maintain a healthy mitochondrial pool. A basal level of mitophagy is thus essential since it matches mitochondrial number with metabolic demand.(20) There are two major mitophagy pathways: receptor-mediated and non-receptor-mediated. Receptor-dependent mechanisms involve the outer mitochondrial membrane proteins including BNIP3 (BCL2 interacting protein 3), NIX (NIP3-like protein X), and FUNDC1 (FUN14 domain- containing protein 1), serving as inducible receptors in response to stimuli such as hypoxia and starvation.(21, 22) On the other hand, the non-receptor-mediated mechanisms involve the phosphatase and tensin homologue (PTEN)-induced putative kinase 1 (PINK1)-Parkin pathway, which is primarily induced by mitochondrial uncouplers.(23) PINK1, which upon loss of mitochondrial membrane potential (Δψm), is stabilized at the mitochondrial outer membrane and recruits Parkin to promote the removal of damaged mitochondria.(24) Inefficient mitophagy by disruption of either of these major pathways has been shown to induce accumulation of dysfunctional mitochondria and contributes to the pathogenesis of diseases(25) and aging.(26)

Despite evidence of a functional link between oxygen availability and mitochondrial function, the impact of hypoxia on mitochondria is largely overlooked in NP cells. Herein, we characterize mitochondria in NP cells and explore whether hypoxia and HIF-1α regulate mitochondrial morphology, metabolism, and dynamics. Contrary to the current view, our study clearly demonstrates that NP cells contain well-developed mitochondria both in vivo and in vitro. Our results also show that hypoxia through HIF-1α promotes mitochondrial fission and regulates mitophagy by controlling BNIP3 translocation to mitochondria. Moreover knockdown of HIF-1α in vitro and analysis of NP-specific HIF-1α null mice clearly showed compensatory induction of NIX and maintenance of mitophagic flux in the absence of HIF-1.

Materials and Methods

Mice

All animal experiments were performed under protocols approved by the IACUC of Maine Medical Center Research Institute and Thomas Jefferson University. MitoQC mice with constitutive knockin of mCherry-GFP-mtFIS1101−152 on C57BL/6 background developed earlier were maintained as reported.(27) Foxa2Cre;Hif1αf/f mutant mice have been generated and genotyped as previously described.(28)

Fluorescence microscopy and immunohistochemistry

MitoQC mice spines were fixed in 4% PFA for 8 h at 4°C, decalcified in 20% EDTA and treated with 30% (wt/vol) sucrose before embedding in OCT compound. 6–8 μm thick coronal sections were cut on a cryostat (CM3050S; Leica Biosystems), washed with PBS and mounted with ProLong Gold Antifade Mountant with DAPI. Images were taken on a Nikon A1R confocal microscope using 100x objective (CFI Plan Apo Lambda 100x/1.45 oil). For quantification of mitophagy we measured mCherry-positive structures (pixel2/area) using ImageJ software (http://rsb.info.nih.gov/ij/). E15.5 HIF-1α null or control embryos were fixed in 4% PFA and then embedded in paraffin and 6–8 μm coronal sections were generated. Sections were deparaffinized and citrate buffer pH 6 (Vector Labora-tories, H-3301) was used for antigen retrieval. Sections were incubated for 1 h in the appropriate blocking solution (either 5% Normal Goat Serum in PBS-T (0.4% Triton X- 100) or reagent from M.O.M.™Immunodetection Kit; Vector Laboratories, BMK-2202) and incubated with anti-Complex III (Abcam, ab14745; 1:100), anti-LC3 antibody (Novus Biologicals, NB100–2220; 1:200) or anti-NIX (Abcam, ab109414; 1:100) in appropriate blocking buffer at 4°C overnight. Sections were mounted with ProLong Gold Antifade Mountant with DAPI and colocalization of Complex III with LC3 was quantified as area (pixel2/cell) using the colocalization Plugin of ImageJ software (http://rsb.info.nih.gov/ij/).

Isolation of NP cells, treatments and hypoxic culture

Rat NP cells were isolated and maintained in Dulbecco’s Modification of Eagle’s Medium (DMEM) and 10% FBS supplemented with antibiotics.(29) To investigate the effects of hypoxia on mitochondria cells were cultured in hypoxia workstation (Invivo2 400; Baker Ruskinn, UK) with a mixture of 1% O2, 5% CO2, and 94% N2. To investigate effects of HIF-1α, lentivirally transduced cells were cultured in a hypoxia for 24 h. To induce mitophagy, cells were treated with deferiprone (1 mM; Sigma) for 24 h. To inhibit autophagic flux, cells were treated with bafilomycin A1 (50 nM; Tocris) for 24 h in normoxia or 1 h prior to hypoxic culture. Cells were treated with leptomycin B (10 nM; Sigma) 1 h prior to 24 h of hypoxic culture to block nuclear export.

Lentiviral particle production and viral transduction

LV-shHIF-1α (clone #232222) and pLKO.1 shCtrl and psPAX2 (# 12260); and pMD2G (# 12259) (Addgene) were used. HEK 293T cells were plated in 10-cm plates (5 × 106 cells/plate) in DMEM with 10% heat-inactivated FBS one day before transfection. Cells were transfected with ShCtrl or ShHIF-1α plasmids along with psPAX2 and pMD2.G and lentiviral particles were harvested at 48 to 60 h post-transfection. Cells were transduced with viral particles with 8 mg/ml polybrene and harvested for protein extraction 4 days after transduction.(30)

Immunocytochemistry

NP cells were plated on glass coverslips and treated with 100 nM MitoTracker™ Red CMXRos (Thermo Fisher, M7512) for 30 min after completion of the experimental treatments. Cells were then fixed with 4% PFA or ice cold methanol for 15 min and permeabilized with 0.1% Triton X-100 for 10 min. and blocked with 1% BSA for 1 h. Cells were incubated with anti-BNIP3 (3769S), anti-BNIP3L (12396S), anti-LC3 (12741) (Cell Signaling), anti-TOMM20 (ab186734), anti-LAMP1 (ab24170), anti-PINK1 (ab23707) (Abcam), anti-PARKIN (sc-32282) (Santa Cruz), anti-DRP1 (611113), anti-OPA1 (612607) (BD Biosciences), anti-BECLIN1 (NB500–249) (Novus Biologicals) in blocking buffer at 1:100–200 at 4°C overnight. After washing, cells were incubated with Alexa Flour-488 or Alexa Flour 647 and mounted with ProLong Gold Antifade Mountant with DAPI. Negative controls were used to confirm the specificity of staining (Suppl. Fig. 4). Cells were visualized using a Nikon A1R confocal microscope using 60x objective (CFI plan Apo Lambda 60x/1.40 oil). Positive staining for markers and co-localization of LC3 and LAMP1 with mitochondria was measured as area (pixel2/cell) using the colocalization Plugin of ImageJ software (http://rsb.info.nih.gov/ij/).

Analysis of mitochondrial morphology

Mitochondrial number, branching and morphology were quantified in ImageJ using methods reported by Valente et al. and Picard et al (Suppl. Fig. 6).(31,32) The aspect ratio (AR) represents the “length to width ratio” and form factor (FF), the complexity and branching aspect of mitochondria.

ATP and NAD:NADH measurements

NP cells were plated in white-walled tissue culture plates at 10,000 cells/well and placed in normoxia or hypoxia for 24 h. To examine the role of HIF-1α, cells were transduced with ShCtrl or ShHIF-1α lentivirus and cultured in hypoxia for 24 h. ATP and NAD/NADH measurements were performed using the ATP bioluminescence assay kit (Abcam, ab113849) and NAD/NADH-Glo™ detection reagent (Promega, G9071) using a luminometer (Tecan Infinite M200Pro) according to the manufacturer’s protocol. Measurements were normalized to total protein.

Mitochondria isolation, Protein extraction and Western blotting

Mitochondria were isolated according to manufacturer’s instruction (Thermo Fisher Scientific, 89874). Mitochondria were lysed and 20 μg of protein was electroblotted to PVDF membranes (EMD Millipore). The membranes were blocked and incubated overnight at 4°C with antibodies against ETC complexes; complex I (EMD Millipore, ABN302), complex II (anti-SDHA, Abcam ab14715), complex III (anti-UQCRC2, Abcam ab14745), complex IVi1 (NB110–39115), and complex IVi2 (H00084701-M01) from Novus. The membranes were incubated with IRdye conjugated secondary antibodies for 1 h and scanned with an Odyssey infrared scanner. Densitometric analysis was performed using ImageJ software. For ShCtrl and ShHIF-1α blotted membranes were incubated with anti-HIF-1α (1:500; R&D Systems), anti-BNIP3, anti-BNIP3L, anti-BECLIN1 (3495), anti-GAPDH (5174) (Cell Signaling), anti-LC3, anti-TOMM20 (Thermo Fisher, PA5–52843), anti-LAMP1, anti-DRP1, anti-OPA1, anti-PINK1, anti-PARKIN, or anti-β-tubulin (1:5000, DSHB, IA, USA). Immunolabeling was detected using ECL reagent (LAS4000; GE Life Sciences).

Seahorse XF analyzer

Oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) were measured as reported. (5) Briefly NP cells were plated (15,000 cells/well) in a Seahorse XF 24 V7 microplate (Seahorse Bioscience, 100777–004) and incubated in hypoxia for 24 h. On the day of the analysis, microplate was incubated for 1 h at 37°C, no CO2 and in normoxia before OCR and ECAR were measured (Seahorse XF24, Agilent Technologies). All measurements were normalized to total protein. Mitochondrial OCR was calculated by subtracting the final OCR value (pmol O2/min) after Antimycin A treatment from the average of the three OCR values before Antimycin A treatment.

Metabolomics and flux analysis

Cells were transduced with ShCtrl and ShHIF-1α viral particles as described above. For metabolomics, on the 3rd day media was changed to DMEM without pyruvate, 10% dialyzed FBS (Sigma F0392) and then cultured in hypoxia for 24 h. On harvest, cells were rinsed and collected in ice-cold 150 mM ammonium acetate and centrifuged for 3 min at 1100 g. Cell pellet was snap frozen in liquid nitrogen and stored in −80°C until use. Pellets were extracted with of 80% methanol solution (containing 2.5μM U13C succinate, and 5μM U13C citrate as internal standards) with 3 freeze-thaw cycles. After centrifugation, the supernatant was transferred to GC sampling vial. The samples were dried under gentle nitrogen flow, and a two-step derivatization with methoximation and silylation according to our previous procedure.(33) The derivatized metabolites were separated on a 30-meter DB-5MS column analyzed with gas chromatography time-of-flight mass spectrometry (GC-TOFMS premier, Waters, USA). The data was analyzed with Genedata Expressionist (Genedata, Basel, Switzerland) software. The output data was normalized to internal standards and the sum of all the metabolites within each sample. When flux was assessed in the [1,2-13C]-glucose labeling experiment, labeled glucose was added to be 50% of the total DMEM glucose concentration, and an ethyl chloroformate (ECF) derivatization method was used instead of silylation. A volume of 700 μl of cell culture media was used for ECF derivatization that followed our previously published procedure with minor modifications. (34) The derivatized metabolites were extracted with 300 μl of chloroform, and injected 1 μl into the GC-MS system in splitless mode (GC-MS, Agilent, USA). The data was analyzed with MassHunter Quantitative Analysis software (Agilent, USA). M1 of glutamate around m/z 128 reflects the presence of 13C at the 4th carbon position and reflects pyruvate entering the acetyl units originating from glucose to pyruvate entering through pyruvate dehydrogenase. M2 glutamate m/z 128 reflects the presence of 13C at the 2nd and 3rd carbon, and reflects pyruvate entering the oxaloacetate pool through pyruvate carboxylase.(35) On the other hand, M2 glutamate m/z 202 reflects the presence of both 13C at the 2nd and 3rd carbon positions and the presence of both 13C at the 4th and 5th carbon positions, summing as the overall TCA cycle flux. The two 13C atoms (M2) come from either pyruvate entering via pyruvate carboxylase (carbons 2 and 3) or via pyruvate dehydrogenase (carbons 4 and 5). The fraction of glucose converted to pentose phosphate in the pentose cycle is defined as: Pentose cycle = (M1/M2)/(3 + M1/M2), where the M2 isotope yield in lactate is the product of glycolysis from [1,2] 13C glucose, and the recycled (from glucose through the Pentose cycle) isotope yield of lactate as M1 lactate.(36) Lactate isotopomers were also derived from the ECF derivatization method, M0 lactate has m/z 145, M1 lactate m/z 146 and M2 lactate m/z 147.

Statistical analysis

Statistical analysis was performed using Prism7 (GraphPad, La Jolla, CA, USA). For both in vitro and in vivo quantitative parametric data are represented as mean ± SD or box and whisker plot with median and interquartile range. Data distribution was checked with Shapiro-Wilk normality test, and Mann-Whitney test was used for non-normally distributed data. Differences between two groups were assessed by t-test and one-way ANOVA was used for comparisons between more than two groups. All in vitro experiments were performed in triplicate at minimum.

Results

NP cells evidence increase in age-dependent basal mitophagy in vivo

A limited attempts to visualize mitochondrial morphology in intervertebral disc cells in vivo suggested that NP cells possess a few mitochondrial that are under-developed. Since previously employed EM-based methods are prone to fixation artifacts, we used confocal microscopy and transgenic mitoQC mice wherein outer mitochondrial membrane protein fission1 is genetically tagged with a pH-sensitive fluorescent reporter mCherry-EGFP to delineate mitochondrial morphology and mitophagy in-vivo (Fig.1A, B). The NP cells showed a well-developed mitochondrial network in early post natal as well as skeletally mature mice (Fig.1C, D, Suppl. Fig. 1 movie). Noteworthy, when damaged mitochondria experience a loss in membrane potential, they undergo fission when separated from the mitochondrial network and ultimately they are eliminated through mitophagy. Accordingly, in mitoQC mice mitochondria undergoing degradation display the mCherry signal as EGFP undergoes acidic quenching following fusion with lysosomes (Fig.1A). Given that an accumulation of dysfunctional mitochondria can lead to pathophysiological conditions,(25) mitophagy is essential to ensure recycling of old and damaged mitochondria. Interestingly the NP cell of lumbar discs in skeletally mature mice (4-month onwards) showed elevated mitophagy compared to the discs from 2–4 weeks old animals (Fig. 1C, E). Likewise, in the caudal discs there was increased mitophagy in 4 and 14 month old animals, compared to 2–4 weeks animals (Fig. 1D, F). Additionally, the overall mitochondrial number was lower in lumbar but not caudal disc between early post-natal and skeletally mature animals (Fig. 1G, H). Taken together, these results suggest that in physiologically hypoxic disc, NP cells contain a healthy mitochondrial network and evidence mitochondrial quality control, which serves to eliminate damaged and/or old mitochondria.

Figure 1. NP cells show increase in age-dependent basal mitophagy in vivo.

Figure 1.

(A) Schematic of mCherry-GFP-FIS1 knock-in mitoQC mouse. (B) Representative 3D reconstruction of NP tissue section from mitoQC mouse. GFP labeled mitochondria show tubular morphology and well branched network. Scale bar, 5 μm (C, D) Representative images of lumbar (C) and caudal (D) disc sections from mitoQC mice at different ages. Scale bar, 20 μm, insert, 10 μm (E, F) quantification of mCherry-positive mitolysosomes from NP of lumbar (E) and caudal (F) discs. (G, H) Quantification of number of mitochondria per μm2 in NP tissue from lumbar (G) and caudal (H) discs of mitoQC mice. DAPI nuclear stain shown in blue. Z-stack images were used to quantify the mitolysosome and mitochondria (n = 3 mice/group, 2 levels/mouse). Statistical analysis: one-way ANOVA.

Hypoxia-induces mitophagy in NP cells and silencing of HIF-1α does not affect overall incidence of mitophagy

Since NP tissue is avascular and hypoxic and as our previous studies have shown an inductive effect of hypoxia on macroautophagy, we determined if hypoxia induces mitophagy? NP cells were cultured under hypoxia and mitochondrial co-localization with LC3 phagosomes as well as LAMP1 positive lysosomes was assessed. As controls, cells were treated with bafilomycin A1, to block lysosomal degradation of mitochondria, or deferiprone (DFP), an iron chelator that depolarizes mitochondria and induces mitophagy. In agreement with our previous work,(30) we observed an increase in LC3-positive autophagosomes and LC3 II levels in hypoxic NP cells as well as those treated with DFP (Fig. 2A–D). Bafilomycin A1 treatment also resulted in accumulation of autophagosomes when compared to non-treated controls, indicating an active basal autophagic flux.(30) We further quantified “mitophagosome” by colocalizing LC3-positive puncta and mitochondria. We found a significant increase in mitophagosome formation in the hypoxia, BafA1- and DFP-treated NP cells when compared to normoxic controls (Fig. 2A, C). To analyze the final step of mitophagy, we assessed the expression and localization of lysosome associated membrane protein 1 (LAMP1). The number of green LAMP1-positive puncta, representing lysosomes, and LAMP1 levels were significantly higher under hypoxia and DFP-treatment, interestingly, however, the mitolysosome percentage decreased in hypoxia as well as in DFP-treated cells suggesting an increased rate of degradation (Fig. 2E–H). Furthermore, the levels of mitochondrial outer membrane protein, TOMM20 decreased under hypoxia and DFP treatment-indicating active mitophagy (Fig. 2I–K). We then investigated contribution of HIF-1α to NP cell mitophagy.(37) HIF-1α knockdown was confirmed by Western blot in NP cells cultured under hypoxia (Fig. 3A). Imaging and Western blot analysis showed that HIF-1α silenced cells under hypoxia showed no significant changes in co-localization of LC3 or LAMP1 with mitochondria (Fig. 3B–E) and their levels (Fig. 3F, G). Western blot analysis revealed an increase in the TOMM20 (Fig. 3H–J) possibly suggesting increased mitochondrial mass. Together, these results suggested that HIF-1α silencing did not decrease the percentage of mitophagosomes or mitolysosomes in hypoxia.

Figure 2. Role of hypoxia in NP cell mitophagy.

Figure 2.

(A) Immunofluorescence staining for LC3 and mitochondria in cells cultured under normoxia and hypoxia (1% O2) and in cells treated with bafilomycin A1 and DFP for 24 h. (B, C) Quantifications of LC3 puncta (area/cell) and LC3 puncta colocalizing with mitochondria. (D) Western blot and densitometric quantification of LC3 in NP cells in hypoxia and after DFP treatment. (E) Immunofluorescence staining for LAMP1 (lysosomes) and mitochondria. (F, G) Quantification of LAMP1 staining (area/cell) and LAMP1 colocalization with mitochondria. (H) Western blot and densitometric quantification of LAMP1 in NP cells under hypoxia and after DFP treatment. (I) Immunofluorescence staining and (J) qauntification for TOMM20 and mitochondria. (K) Western blot and corresponding densitometric analysis of TOMM20. Red dotted line in D, H and I represents base line levels in normoxic control. Colocalization LC3 and LAMP1 with mitochondria was measured from Z-stack images of at least 30 cells per group. Scale bar: 10 μm. Statistical analysis: t-test and one-way ANOVA.

Figure 3. Role of HIF-1 in NP cell mitophagy.

Figure 3.

(A) Western blot of HIF-1α and corresponding densitometric analysis of multiple blots shown in (A) in NP cells after transduction with HIF-1α shRNA. (B, C) Immunofluorescence staining for (B) LC3 and (C) LAMP1 with mitochondria. (D, E) Comparable colocalization of LC3 and LAMP1 puncta with mitochondria in ShHIF-1α and ShCtrl transduced cells. (F, G) Western blot and densitometric quantification of (F) LC3 (G) LAMP1 in ShHIF-1α and ShCtrl transduced NP cells. (H) Immunofluorescence staining and (I) quantification for TOMM20 and mitochondria in ShHIF-1α and ShCtrl transduced NP cells. (J) Western blot and corresponding densitometric analysis of TOMM20. Colocalization of LC3 and LAMP1 with mitochondria was measured from Z-stack images of at least 30 cells per group. Scale bar: 10 μm. Statistical analysis: t-test.

Hypoxia and HIF-1α modulates mitochondrial morphology, composition, and energy metabolism

Primary NP cells were cultured under hypoxia or treated with DFP for 24 hours and stained with MitoTracker red to visualize mitochondrial morphology. Under normoxia, mitochondria were tubular and networked, whereas cells cultured in hypoxia and treated with DFP showed an increased incidence of fragmented mitochondria (Fig. 4A). Accordingly, mitochondrial mass (Fig. 4B), aspect ratio and form factor reflecting their length and branching (Fig. 4C) was decreased under hypoxia and DFP treatment. Interestingly, despite these morphological changes there was no change in ATP levels in hypoxia however DFP treated cells showed a significant decrease in ATP levels (Fig. 4D). Notably, there was a significant increase in NAD/NADH ratio in hypoxia; whereas DFP treatment had no effect (Fig. 4E) suggesting that glucose was being converted to lactate through lactate dehydrogenase activity. Notably, mitochondrial levels of ETC complex proteins were decreased in hypoxic cells (Fig. 4F, G). We then determined if hypoxia mediated changes in mitochondrial activity can be reversed by re-exposure to normoxia by measuring ECAR (Fig. 4H, I) and OCR (Fig. 4J, K). In comparison with other cell types, the basal metabolic rate of NP cells is relatively low.(38) Interestingly, short-term re-oxygenation resulted in decreased ECAR and increased OCR suggesting diminished H+/lactate export. Surprisingly, inhibiting the electron transport chain with Antimycin A showed that increased OCR was not due to elevation in mitochondrial OCR which on the contrary was decreased. These results suggested that short-term re-oxygenation was not sufficient to jump start mitochondrial metabolic function likely compromised by their fragmentation under hypoxia. Together, these results clearly showed that hypoxia alters mitochondrial morphology, composition and metabolism.

Figure 4. Hypoxia and HIF-1α modulates mitochondrial morphology, composition, and energy metabolism.

Figure 4.

(A) NP cells cultured under hypoxia show round and fragmented mitochondria compared to tubular and networked mitochondria seen under normoxia. Scale bar: 10 μm. (B) Mitochondrial number decreased after 24 h hypoxic culture and DFP treatment, 50 cells were quantified from 2 independent experiments. (C) Mitochondrial network morphology analysis shows decreased length and branching after 24 h hypoxia as well as DFP treatment. (D, E) ATP and NAD/NADH measurements following hypoxic culture and DFP treatment. Data represents 4 independent experiments each with 4 technical replicates/group. (F, G) Western blot and densitometric analysis of NP cells cultured in hypoxia shows significant decrease in electron transport chain complexes I, II, III, IVi1 and IVi2. Ponceau S staining was used to ensure equal loading. Quantification from 5 independent experiments (n =5). (H, I) ECAR of NP cells under normoxia and hypoxia-re-oxygenation before and after Antimycin A treatment. (J, K) A small increase in basal OCR but decrease in mitochondrial OCR seen after re-oxygenation of hypoxic cells. Data are from 4 independent experiments, each with 6 technical replicates/group. (L) HIF-1α knockdown resulted in tubular and well-networked mitochondria compared to fragmented mitochondria in hypoxia. Scale bar: 10 μm. (M) Mitochondrial number increased after HIF-1α knockdown, 50 cells were quantified from 2 independent experiments. (N) Increased length and branching in HIF-1α knockdown cells. (O, P) ATP and NAD/NADH measurements from ShCtrl and ShHIF-1α cells cultured in hypoxia for 24 h. Data represents 4 independent experiments each with 4 technical replicates/group. Z-stack images from at least 50 cells per group were used to quantify mitochondria number and morphology. Statistical analysis: t-test and one-way ANOVA.

Since HIF-1α is a critical mediator of the hypoxia-dependent metabolic program,(28) we investigated if it plays a role in hypoxia-induced fragmentation of mitochondria in NP cells. The mitochondrial morphology after HIF-1α knockdown revealed that the hypoxia-induced fragmentation of mitochondria was reverted after HIF-1α silencing (Fig. 4L). Particularly, the mitochondria in HIF-1α silenced cells were tubular in morphology and more numerous. Moreover, similar to cells under normoxia, mitochondria in HIF-1α silenced cells under hypoxia showed increased branching, and length compared to cells transduced with ShCtrl (Fig 4M, N). Additionally, we determined if hypoxia dependent changes in mitochondrial number were related to mitochondrial biogenesis by measuring expression of PGC-1α, key regulator of this process. Our data showed that PGC-1α levels were insensitive to hypoxia (Suppl. Fig. 2). Silencing HIF-1α also resulted in decreased ATP levels (Fig. 4O), as well as a significantly decreased NAD/NADH ratio (Fig. 4P). This suggested that HIF-1α silenced cells lowered glycolytic activity and that either the NADH dehydrogenase and/or the regeneration of NAD+ by the conversion of pyruvate to lactate by LDH, and/or possibly the reductive amination of α-ketoglutarate to glutamate, are not keeping up with energy needs.

Hypoxia and HIF-1α are key regulators of NP cell glycolytic and mitochondrial metabolism

Considering that both oxygen tension and HIF-1α modulation significantly alter mitochondrial morphology and levels of metabolic enzymes, we assessed their specific impact on cell metabolism. Metabolic profiling was used in conjunction with 13C tracer analysis to examine inter-relationship between glycolysis and the TCA cycle regulated by HIF-1α. The metabolic profiles of NP cells in normoxia and hypoxia clustered separately along principal components (Fig. 5A). We delineated metabolites with significantly different concentrations using a FDR <5% and a significance analysis of microarrays (SAM) plot and heatmap representation (Fig. 5B, C). The same analysis was performed on cells treated with shCtrl and shHIF-1α cultured under hypoxia (Fig. 5D–F). Metabolic profiling revealed that in hypoxia, glycolytic metabolite levels were increased and, as expected, TCA cycle intermediates - citrate, and isocitrate were decreased (Fig. 5C, G). KEGG pathway enrichment analysis showed that the galactose metabolism pathway was enriched in the subset of metabolites with elevated concentrations in hypoxia, whereas the glyoxylate and dicarboxylate metabolism pathway was enriched in the metabolites that were reduced in hypoxia (Fig. 5H). On the other hand, the metabolic profile of HIF-1α silenced cells showed accumulation of glucose and glucose-6-phosphate paired with decreased DHAP and pyruvate levels, decreased levels of TCA cycle intermediates and no change in cytosolic lactate, which is quickly exported out of the cells through MCT4(8) (Fig. 5F, I). Accordingly, KEGG pathway analysis of HIF-1α knocked down cells showed that altered metabolites were enriched in the TCA cycle along with alanine, aspartate, and glutamate metabolic pathways (Fig. 5J).

Figure 5. Hypoxia and HIF-1α are key regulators of NP cell metabolism.

Figure 5.

(A) PCA of untargeted metabolomic samples (B) SAM plot showing relative significance of affected metabolites with FDR 5% from NP cells in normoxia and hypoxia (C) Heat map normalized concentration of metabolites between normoxia and hypoxia (D) PCA of untargeted metabolomic samples and (E) SAM plot showing relative significance of affected metabolites with FDR 5% from NP cells transduced with ShCtrl and ShHIF-1α and cultured under hypoxia for 24 h. (F) Heat map normalized concentration of metabolites between control and HIF-1α knockdown. (G) Schematic illustrating the specific metabolites that are increased (orange) or decreased (purple) in NP cells in response to hypoxia and (H) KEGG pathway analysis of differentially measured metabolites between normoxia and hypoxia (I) Schematic showing metabolites that are increased (orange) or decreased (purple) following knockdown of HIF-1α and (J) KEGG pathway analysis of differentially measured metabolites in NP cells transduced with ShCtrl and ShHIF-1α. Data is from 3 independent experiments for normoxia vs. hypoxia and 5 independent experiments for ShCtrl vs. ShHIF-1α.

To gain further insights into glycolysis and TCA interactions the HIF-1α silenced cells were cultured for 24 hours under hypoxia, with the addition of 50% enrichment in glucose with [1,2] 13C-glucose. The framework for 13C tracer analysis using [1,2-13C]-glucose is shown in Fig. 6A. As shown in Fig. 6A, [1,2]-13C glucose yields [2,3]-13C lactate accumulating in media via glycolysis (M2 lactate), while M1 lactate is generated after transit of glucose through the oxidative limb of the pentose cycle. [2,3]-13C pyruvate entering the TCA cycle (rather than exiting via lactate dehydrogenase) has 2 options for entry: via pyruvate dehydrogenase (PDH) and via pyruvate decarboxylase (PC). The direction of entry can be monitored by observing the distribution of carbons in media Glutamate 128 (m/z 128 M0, 129 M1, 130 M2), which is the 3 carbon, C2-C4 fragment of glutamate. As shown in Fig 6A, [2,3]-13C pyruvate entry via PC results in labeling glutamate at the 2nd and 3rd glucose position, while [2,3]-13C pyruvate entry via PDH results in glutamate labeling at the 4th and 5th carbon position. M1 Glutamate 128 reflects PDH flux, as it can occur (mainly) as the fragment containing the 13C at position 4 of glutamate. M2 Glutamate 128 reflects PC flux as it can occur (mainly) for the glutamate fragment containing 13C at positions 2nd and 3rd of glutamate. Glutamate 202 on the other hand, is the sum of PC and PDH flux, as it can contain 13C at positions 2 and 3, reflecting PC flux, or 13C at positions 4 and 5, reflecting PDH flux.

Figure 6. HIF-1α loss dysregulates glycolysis and TCA cycle interactions in NP cells.

Figure 6.

(A) Summation of Flux results through glycolysis, pentose and TCA cycle using [1,2] 13C-glucose, and assessing lactate and glutamate isotopomers in a time course at 24 hours after [1,2]13C- glucose addition. [1,2] 13C-glucose becomes [2,3] 13C lactate (and unlabeled lactate 1:1) if it is directly metabolized through the glycolytic pathway. If glucose is diverted into the pentose pathway, [3]-13C lactate is generated. [2,3]13C pyruvate can enter the TCA cycle through pyruvate dehydrogenase (PDH) or pyruvate carboxylase (PC). M1 of glutamate around m/z 128 reflects the presence of 13C at the 4th carbon position. This reflects acetyl units originating from glucose to pyruvate entering through PDH. M2 of glutamate 128 reflects the presence of 13C at the 2nd and 3rd carbon position, indicating pyruvate entering the oxaloacetate pool through PC. M2 of glutamate around 202 reflects the presence of 13C at either the 3rd and 4th carbon position, or the 4th carbon and 5th carbons, and reflects the overall TCA cycle flux, from either pyruvate entering from PC or PDH. (B) % Enrichment of lactate m/z 147-M2 (C) lactate m/z 145-M0 (D) Aspartate m/z 188-M0 (E) glutamate m/z 202 M0 (F) PDH + PC flux measured by glutamate m/z 204 M2 (G) PDH/PC flux measured by glutamate m/z 129 M1/130 M2 (H) PDH flux measure by glutamate m/z 129 M1 (I) pentose cycle flux measured by lactate m/z 146 M1/147 M2 (J) Schematic overlaying metabolic profile from Figure 5 with 13C-glucose tracer data showing increased flux through GDH to maintain NAD regeneration resulting in starvation of left side of TCA cycle. Metabolites that are increased (orange) or decreased (purple) following knockdown of HIF-1α. Statistical analysis: t-test, one-way ANOVA.

Steady state was seen at 24 hours for flux analysis on the basis of the total TCA cycle flux (Glu 202) (Suppl. Fig. 5A) as well as pentose cycle flux (calculated from lactate 146 and 147) (Suppl. Fig 5B). Pentose cycle flux was approximately 20% greater for shHIF-1α compare to shCtrl at both 12 hours and 24 hours at 5 mM glucose, while for total TCA cycle flux, a 2 fold change between shHIF-1α and shCtrl was seen only at 24 hours at 5 mM (Suppl. Fig. 5A). At 12 hours, total TCA cycle flux was only 30% higher for shHIF-1α vs shCtrl (Suppl. Fig 5A). Based on these findings, tracer analysis experiments were carried out at 24 hour.

Figure 6B and C show that the rate of lactate production was decreased with the HIF-1α knockdown, both at 5 mM and 10 mM glucose. Moreover the unlabeled (M0) media lactate (Fig. 6C, Suppl. Fig. 5C) and aspartate (Fig. 6D) showed a small decrease at 5 mM glucose, but it was more pronounced at 10 mM glucose. Media M0 glutamate was increased at 5 mM glucose by ~50% (Fig. 6E). Moreover, the decrease in media M2 lactate enrichment implied that flux was being re-directed into the TCA cycle, when the increased glutamate M0 was taken into account. The balance between flux entering the TCA cycle via pyruvate dehydrogenase (PDH) or pyruvate carboxylase (PC) with HIF-1α silencing was then assessed using glutamate 13C enrichments. The total PC+PDH flux was increased at both 5 mM and 10 mM glucose in HIF-1α knockdown cells (Fig. 6F). Moreover, the ratio of PDH to PC flux was also increased both at 5 mM and 10 mM glucose in HIF-1α knockdown cells (Fig. 6G). Thus, the flux through PDH alone was increased 2 fold at 5 mM glucose and nearly 3-fold at 10 mM glucose (Fig. 6H). Significant increase was also observed in the pentose cycle flux as measured by lactate (m/z 146 M1 and 147 M2) at both 5 and 10 mM glucose (Fig. 6I). These findings suggested that silencing of HIF-1α in NP cells resulted in decreased glycolysis and that it caused a dysregulation is glycolytic/mitochondrial TCA cycle flux interactions as well as increase in pentose cycle shunt activity. When these results are reconciled with metabolic profile of HIF-1α silenced cells it suggested that TCA flux was being directed to glutamate to try to normalize the NAD/NADH ratio to drive glycolysis and TCA cycle reactions (Fig. 6J).

Hypoxia and HIF-1α affect mitochondrial dynamics in NP cells

A few studies have shown a close connection between hypoxia and mitochondrial dynamics.(17, 39) To investigate this dynamic process in NP cells, we examined the effects of hypoxia and HIF-1 loss-of-function on expression of proteins related to mitochondrial fission/fusion. NP cells culture in hypoxia increased the expression of fission protein, DRP1, without affecting levels of the fusion protein, OPA1 implying that DRP1 may contribute to hypoxia-dependent mitochondrial fragmentation (Fig. 7A–D). DFP, an inducer of mitophagy was used a positive control and showed changes in DRP1 and OPA1 levels similar to hypoxia (Fig. 7A–D). These results suggested that in hypoxic NP cells mitochondrial fission driven by elevated DRP1 levels may promote mitophagic signaling. We then investigated the contribution of HIF-1α in this process. HIF-1α silencing resulted in tubular mitochondria and a concomitant increase in levels of OPA1, without changes in DRP1 levels (Fig. 7E–H). These findings suggested that HIF-1α was responsible for mitochondrial fragmentation in hypoxic NP cells by modulating balance between levels of OPA1 and DRP1.

Figure 7. Hypoxia and HIF-1α affect mitochondrial dynamics.

Figure 7.

(A) Staining of DRP1 shows increased expression in hypoxia and following DFP treatment. (B) OPA1 levels were unaffected by hypoxia or DFP treatment. (C) Quantification of DRP1 and OPA1 staining. (D) Western blot and densitometric analysis of DRP1 and OPA1 in NP cells cultured in hypoxia. (E) Staining of DRP1 and (F) OPA1 in NP cells transduced with ShCtrl and ShHIF-1α. (G) Quantification of DRP1 and OPA1 staining. (H) Western blot and densitometric analysis of DRP1 and OPA1 in NP cells transduced with ShCtrl and ShHIF-1α and cultured in hypoxia for 24 h. Western blot data represents 3 independent experiments. Red dotted line in D, H represents base line levels in normoxic and ShCtrl groups respectively. Scale bar: 10 μm; for staining 30 cells were quantified from 2 independent experiments. Statistical analysis: t-test.

Hypoxia promotes mitochondrial translocation of BNIP3

Since hypoxia and HIF-1 affected mitochondrial fusion and fission, we assessed the effect of hypoxia on receptor-mediated mitophagy. We measured levels of BNIP3 and NIX in NP cells cultured under hypoxia (Fig. 8A–D). Interestingly, BNIP3 was mostly restricted to the nuclear compartment in normoxia (Fig. 8A). On the other hand, hypoxic treatment of NP cells resulted in a significant translocation of BNIP3 to mitochondria, similar to what we observed following DFP treatment (Fig. 8A,C). Hypoxia and DFP also induced overall levels of BNIP3 (Fig. 8D). However, NIX, another important mitophagy receptor protein did not show any hypoxia-dependent changes (Fig. 8B). Unlike BNIP3, NIX levels did not show significant changes under hypoxia and DFP treatment (Fig. 8D). Several studies have shown a cross talk between receptor and non-receptor mediated pathways to fine-tune mitophagy.(40) To understand the changes in non-receptor mediated pathways during NP cell mitophagy; we analyzed effect of hypoxia on PINK1 and PARK2 localization and expression levels. Upon depolarization of mitochondria, PINK1 localizes to mitochondria and recruits PARK2 to initiate classical non-receptor mediated mitophagy. We did observe increase in the levels of PINK1 with a trend of increasing levels PARK2 in hypoxic cells, a similar overall trend was observed in DFP treated cells (Fig. 8E–G).

Figure 8. Hypoxia promotes mitochondrial translocation of BNIP3 with an increase in PINK1 levels in NP cells.

Figure 8.

(A, B) Confocal images of (A) BNIP3 and (B) NIX staining. Hypoxia induces BNIP3 translocation to mitochondria without noticeable change in NIX localization. (C) Quantification of nuclear and mitochondrial levels of BNIP3 (D) Western blot and densitometric analysis of BNIP3 and NIX in NP cells cultured in hypoxia for 24 h. (E, F) Immunostaining showing localization of (E) PINK1 and (F) PARK2 in NP cells under hypoxia. (G) Western blot and densitometric analysis of PINK1 and PARK2. Hypoxia induced PINK1 levels with a trend of increasing expression in PARK2. (G) Western blot data represents 3 independent experiments. Red dotted line in D, G represents base line levels in normoxic control. Scale bar: 10 μm; minimum 30 cells were quantified from 2 independent experiments. Statistical analysis: t-test.

HIF-1α is essential for mitochondrial translocation of BNIP3 and maintenance of PINK1 levels

In order to investigate if mitochondrial translocation of BNIP3 and NIX is controlled by HIF-1α, we assessed the status of these receptor-mediated pathway proteins after HIF-1α silencing (Fig. 9A–D). Knockdown of HIF-1α resulted in reduced mitochondrial and nuclear BNIP3 expression, and most of BNIP3 appeared to be sequestered in the nucleus, suggesting that HIF-1α is necessary for both the induction and mitochondrial translocation of BNIP3 (Fig. 9A, C, D). In contrast, NIX expression was increased with silencing of HIF-1α without any obvious changes in localization (Fig. 9B, D), suggesting NIX may be compensating for loss of mitochondrial BNIP3 availability. Likewise, PINK1 showed elevated expression after HIF-1α silencing however, PARK2, which is downstream of PINK1 did not alter expression (Fig. 9E–G).

Figure 9. HIF-1α is essential for BNIP3 mitochondrial translocation under hypoxia.

Figure 9.

(A, B) Immunostaining of (A) BNIP3 and (B) NIX in NP cell transduced with ShHIF-1α and cultured under hypoxia for 24 h. HIF-1α silencing resulted in diminished mitochondrial localization of BNIP3 with persistent localization of NIX to mitochondria. (C) Quantification of nuclear and mitochondrial levels of BNIP3 in HIF-1α silenced NP cells (D) Western blot and densitometric analysis of BNIP3 and NIX in NP cells. While BNIP3 levels were reduced NIX was strongly induced in HIF-1α silenced NP cells. (E, F) Immunostaining showing localization of (E) PINK1 and (F) PARK2 in ShCtrl and ShHIF-1α transduced NP cells under hypoxia. (G) Western blot and densitometric analysis of PINK1 and PARK2. HIF-1a silencing further induced PINK1 levels without affecting PARK2 levels. Scale bar: 10 μm; minimum 30 cells were quantified from 2 independent experiments. Western blot data represents 3 independent experiments. Red dotted line in D, G represent base line levels in ShCtrl transduced cells under hypoxia. Statistical analysis: t-test.

Hypoxia induced mitophagy is BNIP3 dependent in NP cells

While hypoxia induces BNIP3(30) and HIF-1α is essential for its mitochondrial translocation, it is unclear whether this phenomenon is necessary for inducing mitophagy in NP cells. To address this issue, we blocked nuclear export of BNIP3 using leptomycin B, an inhibitor of the nuclear export receptor exportin 1 (CRM1), which causes nuclear accumulation of proteins. Immunofluorescence analysis showed that leptomycin B treatment for 24 h under hypoxia causes nuclear accumulation of BNIP3 and inhibited its mitochondrial translocation (Fig. 10A, B). Likewise, there was nuclear accumulation of Beclin1 without much effect on mitochondrial localization (Suppl. Fig. 3). Consequently, staining for LC3 in leptomycin B treated cells under hypoxia revealed a marked reduction in the number of mitophagosomes (Fig. 10D, E). These results are in agreement with previous studies that showed that cells treated with leptomycin B or expressing Beclin1 with deficiency in nuclear export resulted in nuclear accumulation, ultimately blocking its autophagic function.(41) Accordingly, we observed inhibition of mitochondrial fragmentation and increased mitochondrial mass and networking as reflected by form factor and aspect ratio when BNIP3 and Beclin1 nuclear export was blocked (Fig. 10F–H). A similar increase in mitochondrial mass and dysfunctional mitochondria was reported in liver of BNIP3-deficient mice.(42)

Figure 10. Hypoxia-induced mitophagy is BNIP3 dependent:

Figure 10.

(A) Confocal images show inhibition of mitochondrial translocation of BNIP3 in NP cells treated with leptomycin B under hypoxia. (B) Quantification of BNIP3 nuclear and mitochondrial localization. Increased (C) Immunofluorescence staining for LC3 and mitochondria in cells cultured under hypoxia with or without Leptomycin B treatment for 24 h. (D, E) Quantification of LC3 and mitophagosomes for experiment in (C). (F) Confocal images showing mitochondrial morphology under hypoxia with or without leptomycin B treatment. (G) Mitochondria number and (H) length and branching in leptomycin B treated cells. 30 cells were quantified from 2 independent experiments. Z-stack images were used to quantify colocalization, mitochondria number and morphology. Scale bar: 15 μm. Statistical analysis: t-test.

FoxA2Cre-HIF-1α f/f mice show elevated NIX levels and maintenance of mitophagic flux

In order to further investigate whether loss of HIF-1α results in changes in mitophagy in vivo, we utilized NP-specific HIF-1α null mice by crossing HIF-1α floxed mice with mice expressing Cre recombinase under control of the notochord specific Foxa2 promoter/enhancer (Fig. 11A). (28) We analyzed colocalization of LC3 with a mitochondrial marker, electron transport chain Complex III as a way to measure mitophagy. We observed a slight increase in the colocalization of LC3 with Complex III (Fig. 11B, D) with a concomitant increase in mitochondrial mass as reflected by % area stained for Complex III (Figure. 11C, E). Similarly, in agreement with our in vitro results, we observed a robust increase in NIX abundance in NP cells of HIF-1α mutant mice (Fig. 11F, G).

Figure 11. Mice with conditional deletion of HIF-1α in the NP show elevated NIX levels without decrease in mitophagy.

Figure 11.

(A) Diagram showing generation of NP-specific HIF-1α conditional knockout mice. (B) Representative confocal images NP tissue co-labeled with LC3 and Complex III. (C) Images showing Complex III staining of NP cells in null and wild type mice. (D) Quantification of colocalization of LC3 and Complex III and (E) Complex III abundance for experiments described in B and C respectively. (n = 3 mice/cKO, 4 levels/mouse; n=2 mice/WT, 4–5 levels/mouse). Z-stack images were used to quantify colocalization. Scale bar: 10 μm (B) and 50 μm (C). (F, G) Immunofluorescence staining of NIX (F) and corresponding quantification of NIX abundance in HIF-1α mutant and wild type mice (G). (n = 3 mice/cKO, 4 levels/mouse; n=2 mice/WT, 6 levels/mouse) Scale bar: 200 and 50 μm (H) Model showing the role of HIF-1 in the regulation of mitochondrial function in NP cells. HIF-1α controls mitophagy in NP cells by modulating receptor and non-receptor mediated pathways. HIF-1α regulates mitochondrial morphology through induction of fission protein DRP1 and BNIP3 mitochondrial translocation under hypoxic conditions. PCO - primary ossification center; HC -hypertrophic chondrocyte; NP - nucleus pulposus. Statistical analysis: t-test.

Together these results suggested that mitochondrial translocation of BNIP3 in NP cells is required for hypoxia-induced mitophagy and thus for mitochondrial quality control and that this process is HIF-1 dependent. On the other hand it is plausible that elevated levels of NIX, in the absence of HIF-1, compensate for loss of BNIP3 and continue mitophagic flux (Fig. 11G).

Discussion

There has been some controversy regarding mitochondria and their contribution to metabolic function of NP cells in the intervertebral disc.(9) As NP cells reside in an avascular, and physiologically hypoxic tissue niche and primarily depend on the glycolytic pathway for energy production, it is generally considered that they contain very few mitochondria, and thus exert a minor biological role in disc physiology. For the first time, contrary to the prevalent view, our study demonstrates that NP cells indeed contain numerous mitochondria both in vivo and in vitro. These mitochondria are classically tubular, well networked, and hypoxia responsive. We show that hypoxia alters mitochondrial morphology, composition and mass in NP cells, and that these changes are HIF-1α dependent. We further show that hypoxia induces mitophagy in NP cells by increasing mitochondrial fragmentation, elevating DRP1 and BNIP3 levels, and BNIP3 mitochondrial translocation. Interestingly, while our results clearly show that hypoxia induction of mitophagy requires HIF-1α-BNIP3 axis, when HIF-1 activity is limited, there is compensation through NIX and non-receptor mediated pathways.

Analysis of mitoQC reporter mice clearly showed that NP cells possessed functional mitochondrial network and that mitophagic flux was higher in skeletally mature animals in both lumbar and caudal discs in comparison to young animals (≤ 1 month). This observation suggested a possible correlation with larger compartment size, increase in diffusional distances from endplate vasculature and thus increased hypoxic gradient. Support to this notion came from in vitro studies that assessed effect of oxygen tension on mitochondrial morphology and content. When culture under normoxia, NP cells showed classical mitochondrial morphology, characterized by tubular shape and branched network. However, when the cells were exposed to low oxygen tension, it increased fragmentation, and decreased overall numbers of mitochondrial, suggesting this is an adaptation to low oxygen tension in NP cells. The decreased mitochondrial number could be a reflection of both increased mitophagy and/or decreased biogenesis. Previous studies have shown that hypoxia alters expression of PGC-1α (43) and FOXO3,(44) key transcription factors that regulate mitochondrial biogenesis. However, our data shows insensitivity of PGC-1α to hypoxia (Suppl. Fig 2) and Alvarez-Garcia and colleagues have shown redundancy between FOXO3 and FOXO1 activity in the disc along with induction of FOXO3 by hypoxia in human NP cells.(45) These findings suggest that hypoxia may predominantly affect mitochondrial turnover over biogenesis in NP cells.(43, 44) Interestingly, the hypoxia-dependent changes in mitochondrial morphology and mass was reversed when HIF-1α was silenced, in conjunction with increased OPA1 and TOMM20 expression, implying a HIF-1α -dependent mechanism. These results suggested that HIF-1 controlled mitochondrial morphology and mass through carefully balancing levels of OPA1 and DRP1. Moreover, decreased hypoxic levels of ETC proteins also suggested that mitochondria in hypoxia could be less functional in performing oxidative metabolism. Supporting this notion was the observation that short-term re-oxygenation of hypoxia-cultured cells did not result in increased mitochondrial oxygen consumption. Noteworthy, re-oxygenation of HIF-1α -silenced NP cells exhibited increased mitochondrial OCR and hypoxic chondrocytes isolated from newborn HIF-1α null mice were shown to increase oxygen consumption.(7, 46) These results support the hypothesis that HIF-1α is a negative regulator of mitochondrial respiration in NP cells. Accordingly, our data indicates that hypoxia and HIF-1α regulates mitochondrial morphology, mass, ETC protein levels, and oxidative phosphorylation in NP cells.

To further explore mitochondrial functionality under hypoxia we performed steady state metabolic profiling, which was more importantly followed by [1,2-13C]-glucose tracer analysis. Metabolic profiling revealed that under hypoxia, the ratio of glycolytic pathway intermediates increased while TCA cycle intermediates decreased. This change correlated with an increase in the NAD/NADH ratio suggesting increased generation of lactate from pyruvate. On the other hand, silencing HIF-1α resulted in accumulation of glucose and glucose-6-phosphate along with decreased glycolytic pathway metabolites DHAP and pyruvate, and lower ATP levels implying decreased glycolysis. These results are consistent with the known role of HIF-1α in controlling expression of key enzymes of the glycolytic pathway and ATP generation in NP cells.(6, 28, 47) However, the decreased levels of TCA intermediates: citrate, succinate, malate, fumarate and oxaloacetate (reflected by decreased aspartate levels) in HIF-1α depleted cells alone could not determine the underlying cause of the perturbation, i.e., whether flux through glycolysis and/or the TCA cycle was simply decreased, or instead there was dysregulation of these linked pathways. Further mechanistic insights were forthcoming from 13C-tracer analysis using [1,2-13C]-glucose. Results of these studies confirmed that in HIF-1α depleted NP cells there was an overall decrease in glycolysis (assessed via lactate flux) but surprisingly more TCA flux was being directed to glutamate through glutamate dehydrogenase (GDH) to try to normalize the NAD/NADH ratio to keep glycolysis and TCA cycle reactions going. When reconciled with metabolic profiling data, it was clear that increased flux to glutamate resulted in less flux to succinate, starving the left half of the TCA cycle i.e. intermediates on the left side of the TCA cycle were down from increased GDH flux below. As reviewed by Plaitakis et al., the thermodynamic equilibrium of mammalian GDH fosters glutamate synthesis.(48) However, it is unclear whether this enzyme operates in vivo towards the reductive amination (glutamate production) or the oxidation-deamination direction (Anapleurotic flux, glutamate >α-ketoglutarate). Here it appeared that reductive amination is favored by NP cells with HIF-1α silencing. Importantly, increased TCA flux through GDH in HIF-1α depleted cells supports increased mitochondrial mass noted in these cells and compliments previous observations showing that loss of HIF-1α leads to increased oxidative metabolism if and when oxygen is made available.(7) Observation that HIF-1 depleted cells evidenced increased pentose shunt activity (to generate NADPH) further supported the hypothesis that in absence of HIF-1 NP cells experience increased oxidative stress. Together, these studies suggested that under hypoxic conditions, HIF-1α serves to coordinate glycolysis and TCA cycle interactions and overall limit oxidative phosphorylation in NP cells. Accordingly, loss of HIF-1α in hypoxia likely leads to cell death through a striking reduction in glycolytic metabolism and dysregulated TCA flux implying altered mitochondrial activity.(28)

The increase in mitochondria fragmentation observed under hypoxia was associated with an increase in mitophagy and translocation of BNIP3 from the nucleus to the mitochondria. This phenomenon appears to be cell type specific as exposure to hypoxia in glioma cells and hepatocytes induces a translocation of BNIP3 to the mitochondria.(49, 50) Interestingly, stable silencing of HIF-1α abolished BNIP3 translocation to mitochondria, suggesting a direct relationship between HIF-1α and BNIP3. Surprisingly, however, BNIP3 sequestration in the nucleus and overall reduction in its levels by HIF-1α loss was not correlated with decreased mitochondrial colocalization with LC3, suggesting possible compensation. Since we observed an increase in NIX expression following HIF-1α silencing in vitro as well as in vivo, based on the known biological function, it is possible that NIX may have compensated for decreased BNIP3 levels and translocation.(51) Our results are in line with previous studies where overexpression of NIX was seen to increase mitophagy as well as mitochondria mass and mitochondria functions.(52) It is also reported that when the demand for mitochondrial OXPHOS is high (due to increased number and tubular mitochondria) NIX level are elevated and induce mitophagy.(53) Likewise, given that we observe tubular and increased mitochondrial numbers in HIF1α, elevated PINK1 may have also compensated for BNIP3-mediated mitophagy through upregulation of mitochondrial-derived vesicles (MDVs) or micromitophagy, a mechanism to remove damaged mitochondrial proteins instead of entire mitochondria.(54) However in absence of loss-of-function studies a definitive causation cannot be established. To directly target BNIP3 translocation without modulating HIF-1 levels, we blocked BNIP3 nuclear export with leptomycin B. In contrast to our observation that mitophagy levels were not decreased with HIF-1α knockdown, direct inhibition of BNIP3 export significant reduction in mitophagosome formation. While this could be attributed to accumulation of Beclin-1 to nucleus, its mitochondrial localization was unaffected implying that BNIP3 was critical in driving the hypoxia induced mitophagy in NP cells. Together, these results clearly suggested that fragmented mitochondria undergoing mitophagy require mitochondrial BNIP3 which interacts with LC3 through LC3 interacting region (LIR).(55) These results also corroborate our speculation that sequestration of BNIP3 in HIF-1α -silenced cells was compensated for by NIX and/or PINK1-PARK2.

In summary, contrary to the current view, we demonstrate that NP cells contain well-networked mitochondria, whose homeostasis is regulated by tissue hypoxia, HIF-1 and BNIP3-mediated mitophagy. Our results lead to future investigations aimed at exploring the uncharacterized functions of mitochondria in physiologically hypoxic tissues.

Supplementary Material

SUP Fig 1

Supplementary Figure 1. Movie of 3D reconstruction of Z stack images showing mitochondrial morphology in NP compartment of mitoQC mice. GFP label shows tubular and networked mitochondria whereas mCherry signal show mitochondria undergoing mitophagy.

Download video file (888.8KB, mp4)
SUP Fig 2-6

Supplementary Figure 2. qRT-PCR analysis of PGC-1α mRNA expression in rat NP cells cultured under hypoxia (1% O2) for up to 72 hours. Expression levels are insensitive to hypoxic treatment. N = 4 independent experiments. Statistical analysis: one-way ANOVA.

Supplementary Figure 3. (A) Immunostaining shows nuclear enrichment of BECLIN1 in NP cells treated with leptomycin B under hypoxia. (B) Quantification of BECLIN1 nuclear and mitochondrial localization. Scale bar: 15 μm; minimum 30 cells were quantified from 2 independent experiments. Statistical analysis: t-test.

Supplementary Figure 4. A) Confocal images of negative controls for immunofluorescence staining. Cells were stained with MitoTracker Red CMXRos and fixed followed by incubation with (i) Alexa Flour 488 secondary antibody without primary antibody or (ii) isotype mouse primary antibody with mouse secondary Alexa Flour 488 antibody or (iii) isotype rabbit primary antibody with rabbit secondary Alexa Flour 488 antibody and mounted with ProLong Gold Antifade Mountant with DAPI.

Supplementary Figure 5. Steady state assessment for 1,2-13C-glucose flux analysis at 5 mM glucose. (A) PDH + PC flux measured by glutamate m/z 204 M2 at 12 and 24 hours (B) % Enrichment of pentose cycle flux determined by measuring lactate m/z 146 M1 and 147 M2 (C) lactate m/z 145-M0 at 12 and 24 hour. Statistical analysis: t-test, one-way ANOVA.

Supplementary Figure 6. For mitochondrial morphology analysis, the images were first converted to binary by threshold in Image J, and then converted to a skeleton that represented the features in the original image using a wireframe of lines one pixel wide. All pixels within a skeleton were then measured using analyze skeleton. The aspect ratio (AR) of mitochondria represents the “length to width ratio” and form factor (FF), the complexity and branching aspect of mitochondria (Valente et al 25 and Picard et al 26).

Acknowledgments

We thank Steven Tessier, MS, Department of Orthopaedic Surgery, Thomas Jefferson University, for his assistance in manuscript editing. We thank Dr. Ian Ganley, University of Dundee, Scotland, for providing mitoQC mice and NIH West Coast Metabolomics Center at University of California Davis for performing metabolomics profiling on normoxia and hypoxia samples. We thank Dr. Maria Covarrubias at Bioimaging Shared Resource of the Sidney Kimmel Cancer Center for her assistance with confocal microscopy. This study is supported by NIH grants R01AR055655, R01AR064733, R01AR074813 (MR). Elizabeth Silagi is supported by NIH training grant T32 AR052273. Bioimaging Shared Resource of the Sidney Kimmel Cancer Center is supported by NCI 5 P30 CA-56036. Stable Isotope and Metabolomics Core Facility, Diabetes Research and Training Center (DRTC) at Albert Einstein College of Medicine is supported by NIH/NCI grant P60DK020541. GAR was supported by NIH grant R03AR068095 and startup research funds from Maine Medical Center Research Institute.

Abbreviations

NP

nucleus pulposus

HIF

hypoxia inducible factor

ECAR

extracellular acidification rate

OCR

oxygen consumption rate

shRNA

short-hairpin RNA

Footnotes

Disclosure of potential conflicts of interest

No potential conflicts of interest were disclosed.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

SUP Fig 1

Supplementary Figure 1. Movie of 3D reconstruction of Z stack images showing mitochondrial morphology in NP compartment of mitoQC mice. GFP label shows tubular and networked mitochondria whereas mCherry signal show mitochondria undergoing mitophagy.

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SUP Fig 2-6

Supplementary Figure 2. qRT-PCR analysis of PGC-1α mRNA expression in rat NP cells cultured under hypoxia (1% O2) for up to 72 hours. Expression levels are insensitive to hypoxic treatment. N = 4 independent experiments. Statistical analysis: one-way ANOVA.

Supplementary Figure 3. (A) Immunostaining shows nuclear enrichment of BECLIN1 in NP cells treated with leptomycin B under hypoxia. (B) Quantification of BECLIN1 nuclear and mitochondrial localization. Scale bar: 15 μm; minimum 30 cells were quantified from 2 independent experiments. Statistical analysis: t-test.

Supplementary Figure 4. A) Confocal images of negative controls for immunofluorescence staining. Cells were stained with MitoTracker Red CMXRos and fixed followed by incubation with (i) Alexa Flour 488 secondary antibody without primary antibody or (ii) isotype mouse primary antibody with mouse secondary Alexa Flour 488 antibody or (iii) isotype rabbit primary antibody with rabbit secondary Alexa Flour 488 antibody and mounted with ProLong Gold Antifade Mountant with DAPI.

Supplementary Figure 5. Steady state assessment for 1,2-13C-glucose flux analysis at 5 mM glucose. (A) PDH + PC flux measured by glutamate m/z 204 M2 at 12 and 24 hours (B) % Enrichment of pentose cycle flux determined by measuring lactate m/z 146 M1 and 147 M2 (C) lactate m/z 145-M0 at 12 and 24 hour. Statistical analysis: t-test, one-way ANOVA.

Supplementary Figure 6. For mitochondrial morphology analysis, the images were first converted to binary by threshold in Image J, and then converted to a skeleton that represented the features in the original image using a wireframe of lines one pixel wide. All pixels within a skeleton were then measured using analyze skeleton. The aspect ratio (AR) of mitochondria represents the “length to width ratio” and form factor (FF), the complexity and branching aspect of mitochondria (Valente et al 25 and Picard et al 26).

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