Abstract
Mitochondrial dysfunction plays an important role in the development of podocyte injury in diabetic nephropathy (DN). Tunnelling nanotubes (TNTs) are long channels that connect cells and allow organelle exchange. Mesenchymal stromal cells (MSCs) can transfer mitochondria to other cells through the M-Sec-TNTs system. However, it remains unexplored whether MSCs can form heterotypic TNTs with podocytes, thereby enabling the replacement of diabetes-damaged mitochondria. In this study, we analysed TNT formation, mitochondrial transfer, and markers of cell injury in podocytes that were pre-exposed to diabetes-related insults and then co-cultured with diabetic or non-diabetic MSCs. Furthermore, to assess the in vivo relevance, we treated DN mice with exogenous MSCs, either expressing or lacking M-Sec, carrying fluorescent-tagged mitochondria. MSCs formed heterotypic TNTs with podocytes, allowing mitochondrial transfer, via a M-Sec-dependent mechanism. This ameliorated mitochondrial function, nephrin expression, and reduced apoptosis in recipient podocytes. However, MSCs isolated from diabetic mice failed to confer cytoprotection due to Miro-1 down-regulation. In experimental DN, treatment with exogenous MSCs significantly improved DN, but no benefit was observed in mice treated with MSCs lacking M-Sec. Mitochondrial transfer from exogenous MSCs to podocytes occurred in vivo in a M-Sec-dependent manner. These findings demonstrate that the M-Sec-TNT-mediated transfer of mitochondria from healthy MSCs to diabetes-injured podocytes can ameliorate podocyte damage. Moreover, M-Sec expression in exogenous MSCs is essential for providing renoprotection in vivo in experimental DN.
Keywords: albuminuria, diabetic nephropathy, mesenchymal stem cell, mitochondria, podocytes, tunneling nanotubes
Introduction
Diabetic nephropathy (DN), the major cause of end stage renal disease, is characterised by both podocyte damage and mesangial expansion, resulting in increased glomerular permeability to proteins and a progressive decline in renal function [1,2] The diminished expression of podocyte-associated proteins, including nephrin and podocin, along with podocyte apoptosis, are early features of DN and significant factors in the development of albuminuria [3,4].
Hyperglycemia and advanced glycation end products (AGEs) are important determinants of podocyte injury in DN [5,6]. Moreover, there is growing evidence indicating that mitochondrial dysfunction plays a key role in linking hyperglycemia to podocyte damage. Altered mitochondrial membrane potential (MMP) and bioenergetics, as well as increased mitochondrial oxidative stress, have been observed in renal cells exposed to a diabetic milieu and in kidneys from diabetic animals [7–12]. However, effective strategies for supplementing, repairing, and replacing damaged mitochondria are not yet available.
Recently, tunnelling nanotubes (TNTs) have emerged as an important mechanism for horizontal mitochondrial transfer. TNTs are straight open-ended membrane channels with diameters ranging from 50 to 200 nm and lengths spanning several cell diameters. They connect distant cells and, as characteristic properties, they do not make contact with the substrate and contain either a F-actin or a tubulin backbone [13–16]. Cells generate TNTs in response to stresses, including serum deprivation [17–19], inflammation [20–22], and oxidative stress [17,23], with the cytosolic protein M-Sec playing a crucial role in TNT formation in most cell types [24,25].
TNTs mediate the transfer of cellular components, including organelles from healthy donor cells to stressed target cells [26–31], thereby enhancing the resistance of recipient cells to insults. Heterotypic TNTs have also been observed between neighbouring cells as well as between progenitors/stem cells and adult cells. For instance, mesenchymal stromal cells (MSCs) [32] can form heterotypic TNTs with cardiomyocytes [33–35], endothelial cells [36–38], and cancer cells [38–40]. MSCs are particularly efficient as mitochondrial donors due to their high expression of Miro1, a mitochondrial Rho-GTPase responsible for fine-tuning actin- and tubulin-dependent mitochondrial motility and positioning [41,42].
We have previously demonstrated that podocytes can form TNTs with other podocytes in a M-Sec-dependent manner in response to stresses, including those related to diabetes [43,44]. Whether transfer of mitochondria from MSCs to podocytes via TNTs can occur in the context of DN remains unknown. Supporting this hypothesis, previous studies have shown the benefits of exogenous MSC treatment in experimental DN [45–48], though the role of horizontal M-Sec-TNT-mediated mitochondrial transfer was not investigated.
In this study, we aimed to explore whether a M-Sec-TNT-mediated exchange of mitochondria from MSCs to podocytes occurs in both in vitro and in vivo models of DN, and whether it can ameliorate podocyte damage and both functional and structural alterations of DN.
Methods
In vitro studies
Podocytes and MSCs
Conditionally immortalized human podocytes, generously provided by Prof. Saleem [49], were cultured and expanded at 33°C with 5% CO2, in RPMI medium. The medium was supplemented with 10% foetal bovine serum (FBS), 2 mM L-glutamine, 100 U/mL penicillin/streptomycin, insulin, transferrin and sodium selenite. Experiments were conducted using podocytes that had been differentiated at 37°C for 15 days.
Primary murine podocytes were isolated from mice at 6 weeks of age. Briefly, mice were anaesthetized and perfused with a Hanks' Balanced Salt solution containing 8x107 surface inactivated beads (Dynabeads, Thermo Fisher Scientific). Glomeruli were separated using a magnetic particle concentrator and seeded onto dishes coated with collagen type IV. Dishes were kept at 37°C in DMEM medium supplemented with 10% FBS, 100 mM HEPES, 100 U/ml penicillin/streptomycin, 1 mM sodium bicarbonate, and 1 mM sodium pyruvate. Subculture of primary podocytes was performed by detaching the glomerular cells using 0.25% trypsin-EDTA, then passing them through a 40-μm cell strainer (Falcon; BD Biosciences), and finally onto dishes coated with collagen type IV and used for experiments prior to the third passage.
Human MSCs (Lonza) were cultured in MSC basal medium with mesenchymal stromal cell growth supplement, 2 mM L-glutamine, 100 U/mL penicillin/streptomycin, and gentamicin sulfate-amphotericin. Cells were used for experiments until the sixth passage.
Bone marrow-derived murine MSCs (BM-MSCs) were obtained from 6-week old wild-type and M-Sec knockout (KO) mice as well as from 14-week old diabetic (DM) and non-diabetic (ND) mice. Briefly, BM cells were flushed from the tibial and femoral cavities in sterile conditions and seeded at 37°C for 7–10 days in MesenCult™ Expansion Medium with MesenPure™ (Stemcell Technologies), 2 mM L-glutamine, and 100 U/mL penicillin/streptomycin. Cells were subcultured until passage three and then characterised by flow cytometry using the following markers: FITC-CD44, FITC-SCA-1, FITC-CD49f, PE-CD45 (Thermo Fisher Scientific). To assess the ability of MSCs to differentiate into adipocytes, cells were cultured in MesenCult™ Adipogenic Differentiation Medium (Thermo Fisher Scientific) and then stained with Oil Red O.
Transfection
M-Sec knock-down. To silence M-Sec, human MSCs were transfected (Lipofectamine 3000 Transfection Reagent, Thermo Fisher Scientific) with a plasmid construct encoding M-Sec-specific sh-RNA (5′-GATCCGACTGCTGGAGGCCACATTCCTGT-3′) or a mock plasmid (5′-GCACTACCAGAGCTAACTCAGATAGTACT-3′) cloned in a pRS vector (ExactHuSH, OriGene Technologies Inc).
Miro1 overexpression. BM-MSCs were transfected with a human adenovirus (Vector Biolabs, Malvern, PA) encoding Miro1 (98% homologous to the murine gene) at a standardised multiplicity of infection (MOI) of 100. An empty vector was used as a control for transduction. Experiments were performed 6 h after adenoviral transduction at 37C°.
Mitochondria-tracking. For mitochondrial tracking in vitro and in vivo, donor MSCs were transfected with a modified insect virus (Baculovirus), expressing a fusion construct of a red/green fluorescent protein with mitochondrial E1a pyruvate dehydrogenase (Cell Light™ Mitochondria-RFP/GFP BacMam 2.0, Thermo Fisher Scientific).
Cocultures
Podocytes were studied either in monocultures or in co-cultures with MSCs at a ratio of 1:1 in 35-mm μ-dishes (Ibidi, 80,136; final concentration 60,000 cells per dish) for 24 hours.
Cell tracking. CellTracker Blue and CellTracker Green CMFDA (Thermo Fisher Scientific) were used for cell tracking in co-cultures.
Fluorescence-Activated Cell Sorting (FACS). Podocytes (labelled with CellTracker Green) and MSCs were co-cultured at a ratio of 1:1 in 90-mm dishes (final concentration 2x106 cells per dish) for 24 h. Cells were then detached using a non-enzymatic cell dissociation solution and washed in PBS. Green cells were sorted using a 100-µm microfluidic sorting chip on a SH800 Cell Sorter (Sony Corporation) equipped with a 525/50 optical filter. The viability of the cells was determined 24h post sort by microscopy.
TNTs
To visualise of TNTs, cells were stained with Alexa Fluor®-488-wheat germ agglutinin (WGA; Thermo Fisher Scientific) and imaged using an Apotome 2 Zeiss Microscope, controlled by the Axiovision software and equipped with both an incubator for live cell imaging microscopy and Nomarski optics for differential interference contrast (DIC) microscopy. Sequences of optical planes (Z-stack) with a thickness of 0.20–0.25 µm were acquired for reconstruction in the x–z plane. To quantify TNTs, the number of podocytes connected to one or more MSCs by straight WGA-labelled structures, which were not adhered to the substrate, as determined by Z-stack analysis, and had a diameter thinner than 1 µm was blindly counted. Results were expressed as the percentage of total counted podocytes (minimum 150 podocytes). To visualised the F-actin cytoskeleton, cells were fixed with paraformaldehyde, which was added gently along the sides of the dishes to ensure that the culture medium remained undisturbed (final concentration 4% w/v) and then stained using Alexa Fluor® 488-phalloidin (Thermo Fisher Scientific).
Mitochondria
Mitochondria Transfer-Flow cytometry. Transfer was assessed by both live fluorescent microscopy and flow cytometry. For transfer quantification, cells were fixed in 2% w:v PFA, passed through a cell strainer, and analysed by flow cytometry (Citoflex, Beckman Coulter). The instrument was calibrated using single-positive cells (either donor or recipient cells alone). Data analysis was carried out using the Cytexpert software (Version 2.3) and expressed as percentage of dually-labelled podocytes.
Mitochondrial Membrane Potential (MMP) was evaluated using the fluorescent probe JC-1 (Thermo Fisher Scientific) in live fluorescent microscopy in blind. Results were expressed as red to green JC-1 fluorescence intensity of podocytes (at least 150 podocytes).
Mitochondrial Superoxide Production was evaluated using the mitochondrial superoxide probe MitoSOX™ Red (Thermo Fisher Scientific) in live fluorescent microscopy in blind. Results were expressed as the percentage of red fluorescence per podocyte area (at least 150 podocytes).
Mitochondrial bioenergetics. Real-time measurement of oxygen consumption rate (OCR) was carried out using the Seahorse Bioscience XF Cell Mito Stress Test assay kit on the XFe24 Extracellular Flux Analyzer (Agilent Technologies). Cells were seeded at a density of 12,000 cells per well in 24-well assay plates and cultured in standard medium. After 24 h, the medium was replaced with XF Base Medium supplemented with 10 mM glucose, 2 mM L-glutamine, and 1 mM pyruvic acid. OCR was measured at baseline and after sequential addition of 1 μM oligomycin, 1 μM carbonyl cyanide-4- (trifluoromethoxy)-phenylhydrazone (FCCP), and 0.5 μM rotenone/antimycin A. Data were analysed using the WAVE software (Agilent Technologies) and normalized to total protein concentration. The metabolic parameters were calculated using the XFMito Stress Test Report Generator (Agilent Technologies).
In situ TUNEL assay
Apoptosis was detected by transferase-mediated dUTP nick end-labelling (TUNEL) assay (ApopTag® Red In Situ Apoptosis Detection Kit) and results expressed as the percentage of apoptotic podocytes (at least 150 podocytes).
In vivo studies
Animals. Animal studies was approved by the Ethical Committee and both housing and care of laboratory animals were in accordance with Italian law. Animals were housed at the Department of Drug Science and Technology, University of Turin, Italy. Male C57BL6 mice (Charles River Laboratories) and M-Sec-KO C57BL6 mice, generated by Prof. Ohno H, were used for the study. As previously reported [43], M-Sec KO animals exhibited normal vitality, fertility, and did not display any apparent phenotype. Diabetes induction. Diabetes (DM) was induced in eight-week old C57BL6 mice by intraperitoneal injection of streptozotocin (STZ) dissolved in citrate buffer (pH 4,5) at a dosage of 55 mg/kg body weight/day, delivered in 5 consecutive days. Non-diabetic (ND) animals received a citrate buffer alone. The onset of diabetes was confirmed 4 weeks after the first injection of STZ by blood glucose ≥250 mg/dl. MSC treatment. After eight weeks of diabetes, both diabetic mice with established albuminuria (DN) and ND animals (n=5 per group) were injected once a week for 6 consecutive weeks, via tail vein, with either vehicle or BM–MSCs (1.0×104 cells/g body weight). BM–MSCs were obtained from both WT (MSCWT) and M-Sec KO (MSCKO) C57BL6 mice. Clinical parameters. Prior to killing, blood samples were collected from alert, 4-h–fasted animals via saphenous vein puncture. Glucose levels were measured using a glucometer (Accu-chek; Roche). Quantitative immunoturbidimetric latex (Sentinel Diagnostic) was used to determine glycated haemoglobin levels. Systolic blood pressure (SBP) was measured by tail-cuff plethysmography. Urine was collected over an 18-h period, while each mouse was individually housed in a metabolic cage with free access to food and water. Enzyme-linked immunosorbent assay (ELISA; Bethyl Laboratories) was used to measure urinary albumin concentration. Creatinine clearance was estimated based on the concentration of creatinine in both serum and urine as assessed by high-performance liquid chromatography (HPLC), in accordance with the Animal Models of Diabetic Complications Consortium (AMDCC) guidelines. Albuminuria was expressed as albumin excretion rate (AER, μg/18 h) or albumin-to-creatinine ratio (ACR, μg/mg). Tissue processing. After 14 weeks of diabetes, the animals were anaesthetized by using pentobarbital and euthanized through decapitation. The kidneys were quickly dissected, weighed, and processed for subsequent analyses. One kidney was frozen in N2 and stored at −80°C for mRNA and protein analysis. The second kidney was divided into two halves: one half was fixed in formalin and embedded in paraffin for light microscopy, while the other half was embedded in optimal cutting temperature (OCT) compound and snap-frozen in liquid nitrogen. PAS staining. Paraffin-embedded renal sections were stained using the periodic acid–Schiff. Mesangial area was analysed (percentage of glomerular area) from digital pictures of 15–20 glomeruli per kidney per animal using the Axiovision 4.7 software.
Electron microscopy
Renal cortex pieces (1 mm3) were fixed in 2% glutaraldehyde, 4% paraformaldehyde in phosphate buffer 0.12 mol/l for 4 h at room temperature, postfixed in 1% osmium tetroxide for 2 h, dehydrated in graded ethanol, and embedded in Epon 812. Ultrathin sections were counterstained with uranyl acetate and lead citrate, and examined with an Energy Filter Transmission Electron Microscope (EFTEM, ZEISS LIBRA® 120) equipped with an yttrium aluminium garnet (YAG) scintillator slow-scan charge-coupled device (CCD) camera (Sharp eye, TRS, Moorenweis, Germany).
mRNA analysis
Total RNA was extracted using the TRIzol reagent (Thermo Fisher Scientific). After quantification, 1 µg of total RNA was reverse transcribed in cDNA (High-Capacity Reverse Transcription kit, Thermo Fisher Scientific). mRNA expression was analysed by real-time PCR using pre-developed TaqMan reagents (Supplementary Table S1).
Protein analysis
Immunohistochemistry (IHC) was performed in 4 µm paraffin kidney sections of formalin-fixed tissue. Antigen retrieval was carried out using a citrate buffer (0.01 M, pH 6.0). To neutralise endogenous peroxidase activity, sections were exposed to 3% H2O2. Endogenous avidin-binding sites were blocked by incubation with 0.1% avidin and 0.01% biotin. Subsequently, the slides were incubated with 3% BSA in phosphate buffer saline (PBS) for 30 min. Overnight incubation at 4°C was performed with a primary rat antibody anti-MAC2 (Cedarlane; CL8942AP). After washing with PBS, sections were exposed to a secondary biotinylated goat anti-rat antibody (Jackson ImmunoResearch Laboratories; 112–065-003) for 1 h, followed by incubation with horseradish peroxidase (HRP)-conjugated streptavidin (DAKO, P0397) for 1 h. Finally, sections were mounted and 3,3′- diaminobenzidine (DAB) used as the chromogen substrate for HRP. A negative control was included in which the primary antibody was preincubated with a control peptide. Section visualisation was performed using an Olympus-BX4I microscope and images were captured and digitised with a high-resolution camera (Carl Zeiss). On average 20 randomly selected glomeruli were assessed per mouse, and the results were expressed as the number of MAC-2 positive cells per glomerular area.
Immunofluorescence (IF). Snap-frozen kidney sections (3 µm) were fixed in cold acetone for 5 min and blocked in 3% BSA in PBS. Slides were then incubated overnight at 4°C with guinea pig anti-nephrin (Progen Biotechnik, GP-N2), rabbit anti-podocin (Merck Life Science, P0372), rabbit anti-fibronectin (Merck Life Science, F3648) primary antibodies. After washing with PBS, fluorescein isothiocyanate-conjugated (FITC) swine anti-rabbit (DAKO, F0205), Alexa Fluor 568 goat anti guinea pig (Thermo Fisher Scientific, A11075) secondary antibodies were added for 1 h. After the incubation, sections were mounted and then examined using a APOTOME 2 microscope (Carl Zeiss). On average 20 randomly selected glomeruli were assessed per mouse. Results were expressed as the percentage area of positive staining per glomerulus. For double IF, renal cortex sections obtained from NDWT, DMWT, and DMKO mice were incubated overnight at 4°C with a rabbit anti-GFP (Thermo Fisher Scientific; A11122). After washing with PBS, sections were incubated with a fluorescein isothiocyanate-conjugated (FITC) swine anti-rabbit (DAKO, F0205) for 1 h. After further blocking in 3% BSA, sections were incubated with guinea pig anti-nephrin (Progen Biotechnik, GP-N2) overnight at 4°C, followed by incubation with an Alexa Fluor 568 goat-anti guinea pig secondary antibody for 1 h. Digitised images were colour-combined and assembled into photomontages by using Adobe Photoshop (Universal Imaging Corporation, West Chester, PA).
Immunoblotting. Cells were homogenised in a RIPA buffer containing 0.5% NP40 (vol./vol.), 0.5% sodium deoxycholate (wt/vol.), 0.1% SDS (wt/vol.), 10 mmol/L EDTA, and protease inhibitors. Protein extracts were obtained by centrifugation at 14,000×g for 20 min at 4°C, following a 45-min incubation on ice. The total protein concentration was determined using the DC Protein Assay Kit (Bio-Rad, Milan, Italy). Equal amounts of protein samples were separated on SDS polyacrylamide gel electrophoresis and electro-transferred onto nitrocellulose membranes. After blocking in 5% non-fat milk in TBS (pH 7.6), the membranes were incubated overnight at 4°C with a primary antibody targeting either M-Sec (Abcam, ab196659), Miro1 (Abcam, ab188029), active caspase-3 (Novus Biological, NB110-55658). Subsequently, the membranes were washed, and secondary HRP-linked antibodies (GE Healthcare, RPN4301; Santa Cruz Biotechnology, sc-2005) added for 1 h. Detection was performed using SuperSignal PICO (Euroclone, Milan, Italy) and visualised on a Gel-Doc system (Bio-Rad, Milan, Italy). Band intensities were quantified by densitometry, with tubulin serving as the internal control.
Statistical analysis
The results were presented as means ± SEM, geometric mean (25th–75th percentile), or fold change over control. Non-normally distributed variables were log-transformed prior to the analyses. The Student's t-test or ANOVA was used for data analysis, as appropriate. Post-hoc comparisons were performed using the Least Significant Difference test. Statistical significance was defined as P<0.05. The number of independent experiments is reported in the figures to legends.
Results
MSCs formed heterotypic TNTs with serum-deprived podocytes
To assess whether MSCs can form heterotypic TNTs with podocytes, cultured human podocytes were exposed to serum deprivation (0.1% FCS), a well-known TNT inducer, for 24 h and then incubated with human MSCs. Live cell fluorescence microscopy analysis showed bridge-like structures interconnecting MSCs and podocytes, displaying the specific features of TNTs. Specifically, they were straight, with a width of less than 1 µm and a length spanning several cell diameters (Figure 1A). Serial Z-stack images proved that these structures did not adhere to the substrate, a characteristic specific to TNTs that distinguishes them from filopodia (Figure 1A z-stack and z-stack depth-colour coding). Fluorescent staining for F-actin showed the presence of an actin backbone within TNTs (Figure 1B). After fixation, co-cultures were immunostained for nephrin to confirm podocyte identity (Figure 1C).
Figure 1. MSCs form heterotypic TNTs with serum-deprived podocytes.
Podocytes were pre-exposed to serum deprivation (Podo-SD) for 24 hours and then co-incubated with MSCs. CellTracker Blue was used for tracking either podocytes or MSCs. Co-cultures were stained with Alexa Fluor 488 (green)-wheat germ agglutinin (WGA) to reveal cell membranes and TNTs. (A) The image shows a TNT in green (arrow) interconnecting a podocyte (blue/green) with a MSC (green). Serial Z-stack images of (A), acquired with a step-size of 0.2 µm, proved that the TNT did not adhere to the substrate as also shown in the combined depth-colour coding image of the z-stack slides where colours from red (bottom) to blue (top) represent the depth in the Z-axis. (B) Fluorescent staining for F-actin in green (Alexa Fluor 488-labelled phalloidin) showed that TNTs, bridging podocytes and CellTracker Blue-labelled MSCs, contained actin (DIC image in the insert). (C) WGA-stained (green) cocultures of podocytes and MSCs were fixed and then immunostained for nephrin (red) to identify podocytes (yellow merge). Nuclei were counterstained with DAPI. (n = 3, magnification X630, scale bar 50 µm).
MSCs formed heterotypic TNTs with diabetes-injured podocytes
To clarify whether diabetes-related insults can induce formation of heterotypic TNTs, human podocytes were exposed to high glucose (HG, 25 mM, 48 h), AGE-Bovine Serum Albumin (AGEs, 100 µg/ml, 72 h), or Monocyte Chemoattractant Protein-1 (MCP-1, 10 ng/ml 24 h) and then co-cultured with human MSCs for 24 h. Normal glucose concentrations (NG, 10 mM made iso-osmolar with mannitol) and vehicles were used as controls. As shown in the images in Figure 2A–C, membrane channels between podocytes and MSCs, which fulfilled the criteria for defining TNTs described above, were observed. To clarify the importance of M-Sec in TNT formation, we assessed whether MSCs expressed M-Sec by immunoblotting. As shown in Figure 2D, MSCs constitutively expressed M-Sec. Then we generated MSCs lacking M-Sec by transfecting them with an M-Sec-specific sh-RNA (MSCshMSec) or a mock plasmid (MSCmock) and confirmed knockout efficiency by immunoblotting (Figure 2E). As shown in the graph (Figure 2F), pre-exposure of podocytes to HG, AGEs, and MCP-1 significantly increased the number of podocytes connected to MSCs through TNTs compared with controls, but this effect was not observed when podocytes were co-cultured with MSCs lacking M-Sec (MSCshMSec), proving that diabetes-induced heterotypic TNT formation requires M-Sec expression in MSCs.
Figure 2. MSCs form heterotypic TNTs with diabetes-injured podocytes.
Podocytes labelled with CellTracker Blue were exposed to high glucose (HG), advanced glycosylated end products-bovine serum albumin (AGEs), monocyte chemoattractant protein-1 (MCP1) and then co-incubated with MSCs. Vehicles and normal glucose concentrations were used as controls. Co-cultures were stained with Alexa Fluor 488-wheat germ agglutinin (WGA-green) to stain cellular membranes and TNTs. (A,B,C) Pictures of TNTs (green), interconnecting MSCs to podocytes (blue/green) are shown in the upper left panels. Magnification X630, scale bar 50 µm. Serial Z-stack images of these pictures (step-size of 0.2/0.25 µm), proving that TNTs did not adhere to the substrate, are shown in the right panels and summarised in the depth-colour coding images, where colours from red (bottom) to blue (top) represent depth in the Z-axis (left lower panels). M-Sec protein expression was assessed by immunoblotting in (D) cultured MSCs (NC: negative control) and in (E) MSCs transfected with either M-Sec short hairpin RNA (MSCshMSec) to silence M-Sec or a mock plasmid (MSCMock) (internal control: tubulin). (F) The graph shows the percentage of podocytes connected with MSCMock and MSCshMSec via TNTs (n = 4, ***P<0.001 HG-MSCMock vs. NG-MSCMock, **P<0.01 AGE-MCP-1-MSCMock vs. vehicles, ###P<0.001 HG-AGE-MCP-1-MSCMock vs. HG-AGE-MCP-1-MSCshMSec).
TNTs mediated mitochondrial transfer from MSCs towards diabetes-injured podocytes
Human podocytes were exposed to HG, AGEs, and MCP-1, as described above. Rotenone (10 nM), which induces mitochondrial dysfunction was used as a positive control. Subsequently, Cell Tracker Blue-labelled podocytes were co-cultured with human MSCs, carrying Cell-Light Mito-RFP-labelled mitochondria. After 24 h, we observed red fluorescent mitochondria along TNTs and within the cytosol of recipient podocytes (Figure 3A–D). To quantify mitochondrial transfer, the percentage of blue podocytes containing MSC-derived red mitochondria (dually labelled) was assessed by flow cytometry. As shown in the graph (Figure 3E), mitochondrial transfer from MSCs to control podocytes was modest, but it was significantly increased by pre-exposure of podocytes to HG, AGEs, and MCP-1. Importantly, the transfer was almost abolished when podocytes were incubated with MSCs lacking M-Sec (MSCshMSec) (Figure 3E) or when experiments were performed in the presence of latrunculin-B (200 nM), which inhibits TNT formation (Figure 3F). Taken together, these data show that exposure of podocytes to diabetes-related insults enhances the transfer of mitochondria from donor MSCs to damaged podocytes in a M-Sec-TNT-dependent manner.
Figure 3. TNTs transfer mitochondrial from MSCs to diabetes-injured podocytes.
CellTracker Blue-labelled podocytes were pre-exposed to (A) high glucose (HG), (B) monocyte chemoattractant protein-1 (MCP-1), (C) advanced glycosylated end products-bovine serum albumin (AGEs), (D) Rotenone (Rot), and then co-cultured with MSCs carrying Red Fluorescent Protein (RFP)-labelled mitochondria. Vehicles and normal glucose (NG) concentrations were used as controls. (A–D) Live fluorescent microscopy images show red mitochondria within TNTs (white dashed lines, DIC-image in the insert) and in the cytosol of recipient blue podocytes (white arrow). Magnification X630, bar 50 µm. (E,F) The graphs show the percentage of podocytes containing MSC-derived mitochondria (dually labelled podocytes - RFP and Blue) as quantified by flow cytometry. In (E), experiments were performed using MSCs expressing M-Sec (MSCMock) or knockdown for M-Sec (MSCshMSec) (n=3, ***P<0.001 Rot-MSCMock, **P<0.01 HG/AGEs-MSCMock, and *P<0.05 MCP1-MSCMock vs. controls and MSCshMSec). In (F) experiments were performed in the presence/absence of latrunculin B (n = 3,***p<0.001 HG-AGE-MSC, **P<0.01 MCP1-MSC vs. controls and MSC-Latrunculin).
Transfer of mitochondria ameliorated mitochondrial parameters in recipient podocytes
To explore the functional relevance of mitochondrial transfer, human podocytes were exposed to AGEs or vehicle for 72 h, and then incubated for a further 24 h with MSCs or vehicle (see experimental design in Figure 4A). Exposure of podocytes to AGEs induced the transition of the fluorescent probe JC-1 from red to green fluorescence, indicating a decrease in Mitochondrial Membrane Potential (MMP) and hence mitochondrial damage (Figure 4B). AGEs also increased mitochondrial oxidative stress, as assessed using the mitochondrial superoxide probe Mitosox Red (Figure 4C). Importantly, incubation of AGE-treated podocytes with MSCs expressing M-Sec (MSCMock) abolished both MMP loss and mitochondrial oxidative stress, while incubation with MSCs either lacking M-Sec (MSCshMSec) or pre-exposed to rotenone (MSCRot) to damage donor mitochondria was ineffective (Figure 4B,C). To obtain quantitative data, podocytes were separated from the mono/cocultured system by FACS sorting and podocyte bioenergetics was studied using the Cell Mito Stress Test on a Seahorse Analyser.
Figure 4. M-Sec-mediated transfer affects mitochondria in recipient diabetes-injured podocytes.
(A) The diagram shows the experimental design. Podocytes were exposed to advanced glycosylated end products-bovine serum albumin (AGEs)/vehicle for 72 h, followed by incubation with MSCs/vehicle for further 24 h. MSCs were pre-treated with rotenone (MSCRot) or transfected with either M-Sec shRNA (MSCshMSec) to silence M-Sec or a mock plasmid (MSCMock). (B) Mitochondrial Membrane Potential (MMP). Transition of the fluorescent probe JC-1 from red to green fluorescence was used to detect a decline in MMP. MSCs were labelled with CellTracker Blue. Magnification 200X, scale bar: 100 nm. The graph shows quantification of red to green JC-1 fluorescence intensity in podocytes (n=3). (C) Mitochondrial oxidative stress was assessed using the superoxide probe MitoSox Red. Podocytes were stained with CellTracker Green and nuclei counterstained with DAPI. Mitochondrial oxidative stress was yellow-orange in podocytes (merge of CellTracker Green and Mitosox Red) and red in MSC pre-treated with rotenone. Magnification 200X, scale bar: 100 nm. The graph shows the percentage of red fluorescence per podocyte area (n=3). (D) Mitochondrial bioenergetics was studied in podocytes isolated from mono/co-cultures by FACS-sorting using the Cell Mito Stress Test on a SeahorseXF-24. Oxygen consumption rate (OCR) was measured under basal conditions and following addition (dashed lines) of oligomycin, FCCP (carbonyl cyanide p-trifluoromethoxyphenyl-hydrazon), and Rot/A (rotenone/antimycin A), and results normalised to total protein OD values. The graph shows basal, ATP-linked, and maximal respiration, and reserve capacity (n=3). (E) ND4L and (F) Cox1 mRNA expression was measured by real-time PCR in podocytes isolated from mono/co-cultures by FACS-sorting (housekeeping gene: GAPDH) (n=3). (G) Nephrin mRNA expression was measured by real-time PCR (housekeeping gene: GAPDH) (n=3). Apoptosis was evaluated (H) by immunoblotting for active caspase-3 expression (tubulin internal control) in FACS-sorted podocytes (n=3) and by (I) TUNEL assay. In the representative images, MSCs were labelled with CellTracker Green. Apoptotic podocytes were pink (merge of nuclei counterstained with DAPI and TUNEL red assay). The graph shows the percentage of apoptotic podocytes (n=3).
***P<0.001, **P<0.01, *P<0.05 AGEs vs. vehicle
###P<0.001, ##P<0.01, #P<0.05 AGEs-MSCMock vs. AGEs-MSCRot and AGEs-MSCShMSec
Exposure to AGEs reduced basal and maximal oxygen consumption rate (OCR), ATP-linked respiration, and reserve capacity, indicating alterations in mitochondria-dependent cellular bioenergetics (Figure 4D). Moreover, podocyte expression of the mitochondrial genes ND4L and COX-1 was modestly but significantly down-regulated (Figure 4E,F) as assessed by real-time PCR. These AGE-induced effects were ameliorated by incubation with MSCMock, but left unchanged by incubation with either MSCshMSec or MSCRot (Figure 4D–F). Therefore, donor MSCs can improve mitochondrial parameters in recipient podocytes only if they express M-Sec and carry healthy mitochondria.
Transfer of mitochondria reduced both nephrin loss and apoptosis in recipient podocytes
We then investigated the impact of mitochondrial transfer on the phenotype of diabetes-injured podocytes. As expected, exposing human podocytes to AGEs induced nephrin down-regulation (Figure 4G) and apoptosis, as assessed by both immunoblotting for active caspase 3 on FACS-sorted podocytes (Figure 4H) and in situ TUNEL assay (Figure 4I). Coculturing of AGE-treated podocytes with MSCs reduced apoptosis and increased nephrin gene expression even above control levels. However, MSCs lacking M-Sec (MSCshMSec) or treated with rotenone (MSCRot) failed to improve nephrin down-regulation and apoptosis (Figure 4G-I). Taken together, these results show that the transfer of healthy mitochondria from MSCs to podocytes protects diabetes-injured podocytes via an M-Sec-dependent mechanism.
Diabetes lowered the efficiency of MSCs as mitochondrial donors
To explore whether diabetes can affect the efficiency of MSCs as mitochondrial donors, MSCs were isolated from the bone marrow of diabetic (MSC-DM) and non-diabetic (MSC-ND) mice and characterized. MSCs were then incubated with AGEs/vehicle-treated murine podocytes (Figure 5 A–C). Exposure of podocytes to AGEs increased the percentage of podocytes connected via TNTs to MSCs without differences between MSC-ND and MSC-DM in their ability to form TNTs (Figure 5D). However, differences were seen in mitochondrial transfer (Figure 5E). The percentage of blue-labelled podocytes containing red mitochondria derived from non-diabetic MSCs was significantly increased in AGE-treated podocytes compared with vehicle-treated podocytes, indicating enhanced mitochondrial transfer. By contrast, this increase was not observed when AGE-treated odocytes were incubated with MSCs from diabetic mice. Collectively, these findings demonstrate that donor MSCs from diabetic mice retain the capability to form TNTs with injured podocytes, but they fail to effectively transfer mitochondria to recipient podocytes.
Figure 5. Effect of diabetes on the efficiency of MSCs as mitochondrial donors.
(A) The diagram shows the experimental design. MSCs were isolated from the bone marrow of non-diabetic (MSC-ND) and diabetic (MSC-DM) mice and then incubated with podocytes pre-exposed to advanced glycosylated end products-bovine serum albumin (AGEs)/vehicle. In selected experiments, MSC-DM were transfected with an adenovirus to overexpress Miro1 or a mock vector. (B) Isolated MSCs were positive for CD44, CD49f, SCA-1, and negative for CD45 as assessed by flow cytometry. (C) MSC were cultured in Mesencult Adipogenic Differentiation Medium for 7 days. Oil Red O staining revealed the presence of fat droplets in the cytosol, proving MSC differentiation into adipocytes. Magnification X400, scale bar 50 µm. (D) Podocytes labelled with CellTracker Blue were pre-exposed to AGEs/vehicle and then co-cultured with MSC-ND and MSC-DM cells. Cells were stained with Alexa Fluor 488-WGA to reveal TNTs and the percentage of podocytes connected with MSCs via TNTs counted (n=3 ***P<0.001 AGEs-MSC-ND and AGEs-MSC-DM vs. vehicle-MSC-ND). (E) Podocytes labelled with CellTracker Blue were pre-exposed to AGEs/vehicle and then co-cultured with MSC-ND and MSC-DM, carrying RFP-labelled mitochondria. The percentage of blue podocytes containing MSC-derived RFP-mitochondria (dually labelled podocytes) was quantified by flow cytometry (n=3 ***P<0.001 AGEs-MSC-ND vs. AGEs-MSC-DM and vehicle-MSC-ND). (F,G) Miro1 mRNA and protein expression was assessed in MSC-ND and MSC-DM cells by immunoblotting (internal control: tubulin) (n=3, **P<0.01 MSC-DM vs. MSC-ND) and real-time PCR (housekeeping gene: GAPDH) (n=3 **P<0.01 MSC-DM vs. MSC-ND), respectively. (H) Miro1 mRNA levels were measured in MSC-ND exposed to vehicle, AGEs, and MCP1 for 24 h (n=3 ***P<0.01 MCP1 vs. vehicle, **P<0.01 AGEs vs. vehicle) (I) MSC-DM were transfected with an adenovirus to overexpress Miro1 (MSC-DM-Miro) or a mock vector (MSC-DM-Mock) and efficiency of transfection assessed by measuring Miro1 mRNA by real-time PCR (n=3 **P<0.01 DM-Mock vs. ND and DM-Miro1). (J) Podocytes labelled with CellTracker Blue were pre-exposed to AGEs/vehicle and then co-cultured with MSC-ND, MSC-DM-Miro or MSC-DM-Mock, carrying RFP-labelled mitochondria. The percentage of blue podocytes containing MSC-derived RFP-mitochondria (dually labelled podocytes) was quantified by flow cytometry (n=3 ***P<0.01 DM-Mock vs. ND and DM-Miro1).
Miro1 modulated mitochondrial transfer efficiency
To elucidate the underlying mechanism, we focussed on Miro1, which localizes to the mitochondrial outer membrane and anchors mitochondria to the actin/tubulin cytoskeleton. Miro1 is of relevance in this context because previous studies showed that Miro1 is essential for the movement of mitochondria along TNTs rather than for their formation [41,42]. Both Miro1 mRNA and protein levels were significantly reduced in MSC-DM compared with MSC-ND (Figure 5F,G). Furthermore, exposure of MSC-ND to either AGEs or MCP-1 significantly decreased Miro1 mRNA expression (Figure 5H), providing a potential mechanism for diabetes-induced Miro1 down-regulation.
To functionally link Miro1 down-regulation to impaired mitochondrial transfer, MSC-DM were transfected with either an adenovirus expressing Miro1 (DM-Miro) or a mock vector (DM-Mock). As shown in Figure 5I, MSC-DM-Miro1 expressed levels of Miro1 mRNA comparable to those of MSC-ND, proving the efficacy of transfection. Re-expression of Miro1 ameliorated mitochondrial transfer from MSC-DM to AGEs-treated podocytes (Figure 5J), confirming that down-regulation of Miro1 can at least partially explain the lower efficiency of diabetic MSCs in transferring mitochondria to podocytes.
Consistent with this, coincubation of MSCs from diabetic mice with AGE-treated podocytes failed to improve MMP (Figure 6A), mitochondrial oxidative stress (Figure 6B), mitochondrial bioenergetics (Figure 6C), expression of ND4L, COX-1, Nephrin (Figure 6D–F), and apoptosis (Figure 6G–I). However, re-expression of Miro1 in MSC-DM partially restored their ability to rescue these podocyte abnormalities (Figure 6A–I).
Figure 6. Mitochondria function, nephrin expression, and apoptosis in AGE-treated podocytes cocultured with diabetic MSCs.
MSCs were isolated from the bone marrow of diabetic mice (MSC-DM) and transfected with an adenovirus to overexpress Miro1 (DM-Miro) or a mock vector (DM-Mock). Podocytes were pre-exposed to AGEs/vehicles and then co-cultured with MSC-DM-Miro, MSC-DM-Mock or vehicle. (A) Transition of the fluorescent probe JC-1 from red to green fluorescence was used to detect a decrease in mitochondrial membrane potential (MMP). The graph shows quantification of red to green JC-1 fluorescence intensity (n=3 ***P<0.001 AGEs vs. vehicle, **P<0.001 AGEs-DM-Miro vs. AGEs-DM-Mock). (B) Mitochondrial oxidative stress was assessed using the mitochondrial superoxide indicator MitoSox Red in fluorescence live microscopy. Podocytes were stained with CellTracker green and nuclei counterstained with DAPI. Mitochondrial oxidative stress is shown in yellow-orange (merge CellTracker Green and Mitosox Red). The graph shows the percentage of red fluorescence per podocyte area (n=3 ***P<0.001 AGEs vs. vehicle, **P<0.001 AGEs-DM-Miro vs. AGEs-DM-Mock). (C) Mitochondrial bioenergetics was assessed using Cell Mito Stress Test on a SeahorseXF-24 in podocytes isolated from mono/co-cultures by FACS-sorting. OCR was measured under basal conditions and following addition (dashed lines) of oligomycin, FCCP, and Rot/A, and results normalised to total protein OD values. The graph shows basal, ATP-linked, maximal respiration, and reserve capacity (n=3). (D) Cox1, (E) ND4L mRNA levels were measured by real-time PCR in podocytes isolated from the mono/co-cultures by FACS-sorting. (housekeeping gene: GAPDH) (n=3). (F) Nephrin mRNA levels were measured by real-time PCR in mono/cocultures by real-time PCR (housekeeping gene: GAPDH) (n=3). Apoptosis was evaluated (G,H) by immunoblotting for active caspase-3 expression (tubulin internal control) in FACS-sorted podocytes (n=3) and (I) by TUNEL assay. The graph shows the percentage of apoptotic podocytes (n=3).
***P<0.001, **P<0.01AGEs vs. vehicle
###P<0.001, ##P<0.01, #P<0.05 AGEs-DM-Miro vs. AGEs-DM-Mock
The beneficial effect of MSC therapy on albuminuria and renal function is M-Sec-dependent
The in vivo relevance of these findings was explored in the animal model of STZ-induced diabetes with established albuminuria. Eight weeks after diabetes induction, levels of albuminuria were significantly higher in DM mice compared with ND mice, indicating the development of glomerular injury [ND: 17.24 (15.4–18.7) vs. DM: 35.73 (28.40–45.51); P<0.01]. Both DN and control animals were then treated for six weeks with either vehicle or exogenous MSCs, which were isolated from WT (MSCWT) and M-Sec KO (MSCKO) mice. Mice with similar levels of albuminuria were assigned to the different treatment groups. Table 1 displays the metabolic and physiological parameters evaluated at the conclusion of treatment. DN mice exhibited significantly higher blood glucose and glycated haemoglobin levels, as well as a lower body weight. Treatment with either MSCWT or MSCKO did not alter these parameters. DN mice showed a six-fold increase in ACR compared with ND animals. Treatment with MSCWT significantly reduced albuminuria, while treatment with MSCKO was ineffective. The decline in renal function induced by diabetes was abolished by MSCWT treatment, but it was left unchanged by MSCKO. Therefore, expression of M-Sec is required for exogenous MSCs to improve functional alterations of DN.
Table 1. General assessment parameters in DN and ND mice treated with MSCs.
| ND-vehicle | ND-MSCWT | DN-vehicle | DN-MSCWT | DN-MSCKO | |
|---|---|---|---|---|---|
| Body weight (g) | 30.0 ± 1.4 | 30.3 ± 1.1 | 22.7 ± 1.0a | 24.0 ± 0.5a | 24.5 ± 0.9a |
| BG (mg/dl) | 135.4 ± 4.2 | 144.0 ± 0.6 | 491.4 ± 49.4a | 488.2 ± 42.8a | 496.2 ± 42.3a |
| Glycated Hb (%) | 4.4 ± 0.3 | 5.5 ± 0.5 | 11.5 ± 0.3a | 11.1 ± 0.6a | 11.8 ± 0.6a |
| SBP (mmHg) | 118.0 ± 7.0 | 105.4 ± 7.6 | 112.6 ± 3.5 | 102.4 ± 9.6 | 110.2 ± 6.8 |
| KW/BW ratio | 5.3 ± 0.2 | 5.4 ± 0.2 | 7.3 ± 0.4b | 6.4 ± 0.2 | 6.8 ± 0.3b |
| ACR (µg/mg) | 29.2 ± 4.7 | 31.4 ± 5.4 | 179.1 ± 12.0c | 67.7 ± 10.5d,e | 162.5 ± 14.1 |
| CrCl (ml/min) | 0.58 ± 0.10 | 0.63 ± 0.10 | 0.19 ± 0.01b | 0.44 ± 0.09f | 0.15 ± 0.03b |
ND: non-diabetic mice; DN: mice with diabetic nephropathy, BG: blood glucose; SBP: systolic blood pressure. KW/BW: kidney weight/body weight; ACR: albumin/creatinine ratio; CrCl: creatinine clearance; MSCs: mesenchymal stromal cells, MSCWT: MSC from wild type mice; MSCKO: MSC from M-Sec knockout mice.
Data are shown as mean ± SEM.
P<0.001 DN groups vs. ND groups.
P<0.01 DN and DN-MSCKO vs. ND groups.
P<0.001 DN vs. ND.
P<0.001 DN-MSCWT vs. DN and DN-MSCKO.
P<0.05 DN-MSCWT vs. ND groups.
P<0.05 DN-MSCWT vs. DN and DN-MSCKO.
MSC therapy ameliorated podocyte damage and mesangial expansion via M-Sec
Diabetes induced the down-regulation of both nephrin and podocin mRNA and protein expression. This effect was mitigated by treatment with MSCWT, while treatment with MSCKO had no effect (Figure 7A–E). Similarly, PAS staining revealed that diabetes-induced mesangial expansion was ameliorated by treatment with MSCWT but not with MSCKO (Figure 7F,G). Consistently, the overexpression of both fibronectin and collagen was reduced only in DN mice receiving MSCWT treatment (Figure 7H–K).
Figure 7. Effect of treatment with exogenous MSCs on diabetes-induced podocyte abnormalities, mesangial expansion, and expression of extracellular matrix components.
Mice with diabetic nephropathy (DN) and control animals (ND) were treated with MSCs from WT (MSCWT), M-Sec-knockout mice (MSCKO), or vehicle for 6 weeks. (A) Representative immunofluorescence images of glomerular nephrin and podocin staining. Magnification X400, scale bar 50 µm. (B,C) The graphs show the percent glomerular area of nephrin and podocin positive staining in 20 randomly selected hilar glomerular tuft cross-sections per mouse (n=5 mice per group). (D,E) Nephrin and podocin mRNA levels were measured by real-time PCR in the total renal cortex and the results corrected for WT-1 expression (n=5 mice per group, (F) Periodic acid Schiff (PAS) staining of renal cortex sections. Magnification X400, scale bar 50 µm. (G) Mesangial expansion (mesangial area:total area of glomerulus) was assessed in 15 glomeruli per kidney per animal and reported in the graph (n=5 mice per group). (H) Immunofluorescence staining for glomerular fibronectin. (I) The percent area of glomerular fibronectin-positive staining was assessed on average 30 randomly selected glomeruli per mouse and reported in the graph (n=5 mice per group). (J,K) Fibronectin and collagen IV mRNA levels were measured by real-time PCR in total renal cortex and results corrected for the expression of the housekeeping gene HPRT (n=5 mice per group).
***P<0.001, **P<0.01 ND vs. DN and DN-MSCKO
###P<0.001, ##P<0.01,#P<0.05 DN-MSCWT vs. DN and DN-MSCKO
MSC therapy ameliorated inflammation in a M-Sec-independent manner
The number of macrophages (MAC-2+ cells) within the glomeruli was significantly higher in DN mice compared with ND mice, and this effect was alleviated, though not abolished, by both MSCWT and MSCKO treatments (Figure 8A,B). Moreover, diabetes induced overexpression of both the chemokine MCP-1 and its cognate receptor CCR2, and these effects were abolished by both MSCWT and MSCKO therapy (Figure 8C,D). Therefore, in contrast with other functional and structural alterations caused by diabetes, the protective effect of exogenous MSCs on glomerular inflammation was independent of M-Sec expression in MSCs.
Figure 8. Effect of treatment with exogenous MSCs on markers of inflammation.
Mice with diabetic nephropathy (DN) and control animals (ND) were treated with MSCs from WT (MSCWT), M-Sec-knockout (MSCKO) mice or vehicle for 6 weeks. (A,B) Representative images of MAC2 immunostaining. Magnification X400, scale bars 50 µm. The number of positive cells per glomerular area was counted on average 30 randomly selected glomeruli per mouse and shown in the graph (n=5 mice/group). (C) Monocyte Chemoattractant Protein-1 (MCP-1) and (D) C-C chemokine receptor type 2 (CCR2) mRNA levels were measured in the renal cortex by real-time PCR and results corrected for the expression of the housekeeping gene HPRT (n=5 mice per group).
***P<0.001 ND vs. DN
###P<0.001, ##P<0.01 DN-MSCWT and DN-MSCKO vs. DN.
MSC therapy ameliorated markers of mitochondrial damage via M-Sec
Given the crucial role of the M-Sec-TNT system in mitochondrial transfer, we next investigated whether treatment with exogenous MSCWT and MSCKO affected diabetes-induced mitochondrial abnormalities in vivo. Diabetes decreased the expression of TFAM, a mitochondrial transcription factor, COX1, and ND4L, while mitochondria ultrastructure, as well as the expression of genes regulating mitochondrial biogenesis, fusion, fission, and mitophagy, remained unaltered (Figure 9A–C, Supplementary Figure S1 and S2). Importantly, treatment with MSCWT either improved or reversed the down-regulation of TFAM, COX1, and ND4L, while injection of MSCKO was ineffective (Figure 9A–C).
Figure 9. Exogenous MSCs ameliorate diabetes-induced mitochondrial dysfunction and allow mitochondria transfer to podocytes.
Mice with diabetic nephropathy (DN) and control animals (ND) were treated with MSCs from WT (MSCWT), M-Sec knockout (MSCKO) mice, or vehicle for 6 weeks. (A) TFAM, (B) COX1, (C) ND4L mRNA levels were measured in the renal cortex by real-time PCR and results corrected for HPRT expression (n=5 mice per group). (D) Exogenous MSCs carried GFP-tagged mitochondria. Double immunofluorescence for GFP (green) and nephrin (red) was carried out on renal cortex sections. The merged images showed colocalization (yellow) (n = 5 mice per group). Magnification X400, scale bar 50 µm.
***P<0.001, **P<0.01 ND vs. DN and DN-MSCKO
##P<0.01, #P<0.05 DN-MSCWT vs. DN and DN-MSCKO
TNT-mediated mitochondria transfer from MSCs to podocytes in diabetic mice with DN
Finally, we tested whether exogenous MSCs, carrying CellLight Mitochondria-GFP, could transfer mitochondria to podocytes in vivo. Renal cortex sections were immunostained for nephrin and GFP. As expected, GFP-mitochondria were not detected within the glomeruli of ND mice treated with MSCWT. By contrast, fluorescent-tagged mitochondria were seen in the glomeruli of DN-MSCWT mice, and some puncta localised to podocytes as shown by costaining for nephrin in the merged image. However, this was rarely observed in DN mice treated with DM-MSCKO, suggesting that M-Sec expression in donor MSCs favours mitochondrial transfer to podocytes (Figure 9D).
Discussion
Our study demonstrates that M-Sec-TNT-mediated horizontal transfer of mitochondria from healthy MSCs to diabetes-injured podocytes ameliorates podocyte damage. Additionally, the expression of M-Sec in exogenous MSCs is essential for providing renoprotection in experimental DN.
TNTs are membrane channels that bridge cells and allow the exchange of various cargos, including organelles, between cells. Homotypic TNTs have been described in many cell types, including podocytes [43,44]. However, cells can also form heterotypic TNTs with other cell types, such as stromal cells, macrophages, and progenitors/stem cells [50–53]. Our study provides the first evidence that podocytes, under diabetes-related conditions, can establish heterotypic connections with MSCs that fulfil the current criteria for TNTs. Similarly, MSCs have been found to form heterotypic TNTs with corneal epithelial cells, airway epithelial cells, brain epithelial cells, pulmonary alveolar cells, cardiomyocytes, macrophages, and endothelial cells [40]. The difference between homotypic and heterotypic TNTs is unclear. However, homotypic TNTs create a supercellular system that probably plays a role in diluting stresses, reducing the burden of damaged organelles, and maintaining homeostasis. On the other hand, heterotypic TNTs are primarily important in cell-to-cell cooperation and cell repair/differentiation, particularly when precursor/stem cells are one component of the pair.
The mechanism underlying the formation of TNTs is not fully understood. However, it is known that both podocytes and MSCs express M-Sec, and in our study M-Sec silencing in MSCs resulted in the abolishment of TNT formation. This indicates that the presence of M-Sec on both MSCs and podocytes is essential for the development of TNTs. Exposure to high glucose is known to induce M-Sec overexpression in podocytes [43] and this probably favoured TNT development in our coculture system. M-Sec cooperates with the small GTPase RalA and the exocyst complex to initiate F-actin polymerization and TNT development [24]. M-Sec is required for the formation of TNTs among podocytes and enables MSCs to form TNTs with cardiomyocytes and lung epithelial cells in a manner dependent on M-Sec [42]. However, the reliance on M-Sec for TNT formation appears to vary across cell types. Unlike podocytes and MSCs, other cell types such as renal tubular epithelial cells [43] and neurons [54] form TNTs independently of M-Sec.
TNTs can transfer various cellular components, and in our study, we specifically focused on mitochondria due to their emerging role in the pathogenesis of DN. In keeping with this, we observed mitochondrial abnormalities in podocytes subjected to diabetes-related insults, as well as in mice with DN, such as TFAM deficiency, impaired mitochondrial respiration, down-regulation of mtDNA genes, decreased MMP, and increased mitochondrial oxidative stress.
Our results show that TNTs interconnecting MSCs and podocytes are functionally active and can transfer mitochondria. Although mitochondria are larger than TNTs, mitochondria can enlarge TNTs, creating a bulge, and this makes progression of mitochondria along TNTs possible. To track the mitochondria, donor MSCs were transfected with a modified insect virus (Baculovirus), expressing a fusion construct of a red fluorescent protein with mitochondrial E1a pyruvate dehydrogenase, instead of being stained with a fluorescent mitochondria dye. This eliminates the possibility of false-positive staining caused by fluorescent dye leakage from MSCs into the medium and subsequent uptake by podocytes.
The efficiency of mitochondrial transfer was enhanced when podocytes were pre-exposed to either diabetes-related conditions or rotenone, suggesting that the transfer was intended to rescue podocytes that had dysfunctional mitochondria by delivering healthy organelles. Accordingly, the transfer of MSC-derived mitochondria to AGE-treated podocytes improved MMP and bioenergetics, abolished mitochondrial oxidative stress, and restored or even increased expression of mitochondrial genes. Previous studies reported that exposure of podocytes to AGEs also induces markers of senescence [55,56] and it would be valuable for future research to explore whether mitochondrial transfer from MSCs could also provide protection against podocyte senescence. Mitochondrial transfer via TNTs has been proven in several cell types [14,16,29,57–59] and even shown to restore aerobic respiration in cells lacking mitochondria [60–62]. Although TNTs are generally considered as the prevalent mechanism of intercellular mitochondrial transfer, other mechanisms have also been described, such as extracellular vesicles, fusion, and extrusion/internalisation [63]. However, abrogation of mitochondrial transfer by both latruculin and M-Sec deletion confirmed that the TNT-M-Sec system was the predominant mechanism of mitochondrial exchange between MSCs and podocytes. Mitochondrial replacement is of particular relevance in cells, as podocytes, that are terminally differentiated as mitochondrial damage tends to accumulate in cells that cannot replicate.
Following TNT-mediated transfer, the mitochondria in recipient podocytes were derived from both the host (podocytes) and the donor (MSCs), thus they originated from different human subjects. Mixing donor and host mitochondria probably increased heteroplasmy (variants present only in a proportion of mtDNA copies rather than in all copies), while reducing the variant load. This might have contributed to the observed benefit. However, the final effect of mixing mtDNA of different origins is unpredictable. For potential future clinical applications, sequencing the mtDNA of MSCs prior to injection to detect and quantify somatic mtDNA variants would be a safer approach.
Both loss of slit diaphragm proteins and podocyte apoptosis are markers of podocyte injury and well-established features of DN. Notably, M-Sec-dependent mitochondrial transfer from MSCs to AGE-treated podocytes reduced podocyte apoptosis and even enhanced nephrin expression, providing evidence of cytoprotection. Besides mitochondria, TNTs can also transfer other compounds and organelles, such as mRNA, proteins, lipid droplets, lysosomes, and endosomes [64–67]. Therefore, it is possible that the transfer of other cargo molecules also played a role in rescuing podocytes. However, donor MSCs carrying mitochondria that were damaged with rotenone failed to improve mitochondrial function, nephrin expression, and apoptosis, indicating that MSCs protected podocytes predominantly through the transfer of healthy mitochondria.
In DN, all cells, including MSCs, are subjected to the harmful effects of diabetes, which can impair the cytoprotective functions of MSCs. Consistent with this, MSCs isolated from diabetic mice formed TNTs with podocytes, but their ability to transfer mitochondria was significantly diminished, reducing their effectiveness in rescuing mitochondrial function, nephrin expression, and preventing apoptosis. This inability to transfer mitochondria was due to the down-regulation of Miro1. Indeed, restoring Miro1 expression re-established the efficiency of MSCs as mitochondrial donors and their protective effect on podocytes. Miro-1 is a transmembrane protein located in the outer mitochondrial membrane that interacts with molecular motors, such as kinesin, dynein, and Myo19, which drive the movement of mitochondria along microtubules and/or actin filaments. TNTs contain an actin and/or microtubules cytoskeleton, which serves as “track” for mitochondrial movement and a large body of evidence proves that Miro1 is essential in mitochondrial movement along TNTs [42,68–74]. Furthermore, higher expression of Miro1 was found responsible for the superior efficacy of iPSC-MSCs compared with MSCs in mitochondria transfer [75]. Extracellular vesicles and mitochondria-derived vesicles (MDVs) can also transfer mitochondrial components or whole mitochondria [76,77] to distant recipient cells and Miro proteins have been involved in MDV formation [78]. Therefore, it is possible that the down-regulation of Miro1 in diabetic MSCs may also affect other mechanisms of horizontal mitochondrial exchange. Regardless of the mechanism, our results provide the first evidence that diabetes-related insults down-regulate Miro1 in MSCs, thereby limiting their ability to transfer mitochondria. This finding may have clinical relevance, as autologous non-immunogenic MSCs from patients with diabetes could be engineered to overexpress Miro1 for cell-based therapy.
In the in vivo part of our study, the administration of exogenous MSCs to DN mice ameliorated markers of mitochondrial dysfunction, preserved both nephrin and podocin expression, reduced mesangial expansion, improved albuminuria, and maintained renal function. Importantly, these beneficial effects were observed without any changes in blood glucose levels or glycated haemoglobin. Several studies have reported that treatment with MSCs can improve hyperglycemia in animal models of STZ-induced diabetes [79–82] by promoting the repair of β-cells or mitigating their destruction. However, data on this topic are conflicting [83], and efficacy of MSCs depends on factors such as the age of the animals and the timing of MSC treatment after diabetes induction [79]. The relative advanced age of our animals and the delayed initiation of MSC treatment after DM induction may explain why we did not observe amelioration of hyperglycemia.
Several studies have previously reported that exogenous MSC treatment has a protective effect on both functional and structural alterations of DN in experimental models [83–88]. The release of extracellular vesicles and/or soluble factors by MSCs was proposed as the underlying mechanism. Our aim was to demonstrate that the benefit of MSC treatment was at least partially mediated by the M-Sec-TNT system. Treatment with exogenous MSCs lacking M-Sec did not ameliorate slit diaphragm protein down-regulation, mesangial expansion, albuminuria, or renal function and this supports the hypothesis of an important role of M-Sec in the protective action of exogenous MSCs. Additionally, MSC-derived mitochondria were observed in the glomerular podocytes of diabetic mice, suggesting in vivo mitochondrial transfer. Importantly, this phenomenon was drastically reduced when the inoculated MSCs did not express M-Sec. A previous study reported mitochondria transfer from exogenous MSCs to renal tubular cells in the context of DN [89], but the mechanism was not investigated. Furthermore, tubular epithelial cells do not express M-Sec and likely other mechanisms were involved. Further studies are, however, required to demonstrate the formation of TNTs in vivo between exogenous MSCs and podocytes and to confirm in vivo TNT-mediated mitochondrial exchange.
Clinical benefit was observed despite most intravenously injected MSCs becoming trapped in the lungs, with only a fraction reaching the kidneys [90]. The higher injection frequency in our study, compared with previous studies [86], may have led to a greater overall number of MSCs reaching the podocytes. Furthermore, even if only a limited number of MSCs reach the kidneys, their ability to deliver mitochondria to damaged podocytes via TNTs may exert a small yet powerful effect with substantial therapeutic impact. Additionally, using freshly isolated MSCs may have further enhanced their mitochondrial donation efficacy, thus increasing therapeutic potential. Finally, although MSC engraftment in the kidney is generally limited, mitochondrial transfer via TNTs requires only transient contact with target podocytes rather than permanent engraftment.
Inflammation was the only diabetes-induced abnormality improved by MSCs therapy independently of M-Sec. MSCs are known to release factors, such as interleukin-1 receptor antagonist (IL1-RA), Prostaglandin E2 (PGE2), Tumour necrosis factor- (TNF) stimulated gene-6 (TSG6), which inhibit the recruitment of inflammatory monocytes and promote the polarisation of macrophages toward the M2 phenotype [91]. This may explain the anti-inflammatory effect of MSCs. However, we cannot exclude the possibility that MSCs can also transfer mitochondria to inflammatory cells through a TNT-independent mechanism [92]. Supporting this, a recent study reported that mitochondrial transfer from MSCs to macrophages reduces inflammation and improves kidney injury in an animal model of DN, although the underlying mechanism of mitochondrial transfer was not explored [93].
No obvious side effects were observed in mice undergoing MSC therapy. This might be attributed to the use of syngeneic BM-MSCs, which were injected at low concentrations and after only three passages in culture. However, our histological and functional analyses were limited to the kidney, and the duration of treatment was relatively short. Therefore, further studies are needed to investigate both the beneficial and detrimental effects of long-term BM-MSC treatment. Additionally, caution is necessary when translating data obtained from experimental animals to humans, as animal models might not perfectly reflect human DN progression and renal damage is relatively mild in mice made diabetic with STZ.
In conclusion, our study provides evidence that MSCs have an important protective effect in both in vitro and in vivo models of DN via the M-Sec-TNT system. Given that podocyte injury is a key factor in various proteinuric glomerulopathies, our findings may have broader implications for other kidney diseases. The discovery that podocytes can be rescued through TNT-mediated horizontal transfer of mitochondria from MSCs may open possibilities for future research in the field of regenerative cell-based therapy.
Clinical perspectives
Mitochondrial dysfunction plays an important role in the development of podocyte injury in diabetic nephropathy and effective strategies for supplementing, repairing, and replacing damaged mitochondria are not yet available.
Our present study demonstrates that MSCs have an important protective effect in DN by allowing replacement of dysfunctional mitochondria through the M-Sec-TNT system.
Demonstrating that MSCs are able to replace dysfunctional podocyte mitochondria through horizontal TNT-mediated transfer may pave the way for regenerative cell-based therapy strategies.
Supplementary Material
Abbreviations
- ACR
albumin-to-creatinine ratio
- AGEs
advanced glycation end products
- CCR2
C-C chemokine receptor type 2
- COX1
Cytochrome c oxidase subunit I
- DAPI
4′, 6-diamidino-2-phenylindole
- DIC
differential interference contrast
- DM
diabetes
- DN
diabetic nephropathy
- FBS
foetal bovine serum
- FITC
fluorescein isothiocyanate-conjugated
- HG
high glucose
- HRP
horseradish peroxidase
- IF
immunofluorescence
- MCP-1
monocyte chemoattractant protein-1
- MMP
mitochondrial membrane potential
- MSCs
mesenchymal stromal cells
- ND
non-diabetic
- ND4L
NADH dehydrogenase subunit 4L
- NG
normal glucose
- OCR
oxygen consumption rate
- PBS
phosphate buffer saline
- RFP
red Fluorescent Protein
- SBP
systolic blood pressure
- STZ
streptozotocin
- TFA
transcription factor A mitochondrial
- TNTs
tunnelling nanotubes
- TUNEL
transferase-mediated dUTP nick end-labelling
- WGA
wheat germ agglutinin
Data Availability
Upon submission, authors agree to make any materials, data, and associated protocols available upon request.
Competing Interests
The Authors declares that there are no competing interests associated with the manuscript.
Funding
The work was supported by the Ferrero Foundation (Alba), Turin University (ex. 60% grant), the European Foundation for the Study of Diabetes (EFSD), 1/2021 Novo Nordisk and the Italian Ministry for Education, University and Research (Ministero dell'Istruzione, dell'Università e della Ricerca - MIUR) under the program “Dipartimenti di Eccellenza 2018–2022” project D15D18000410001.
CRediT Author Contribution
Federica Barutta: Conceptualization, Investigation, Methodology, Writing—original draft. Beatrice Corbetta: Conceptualization, Investigation, Methodology, Writing—original draft. Stefania Bellini: Data curation, Investigation. Roberto Gambino: Investigation. Stefania Bruno: Investigation. Shunsuke Kimura: Resources. Koji Hase: Resources. Hiroshi Ohno: Resources. Gabriella Gruden: Conceptualization, Supervision, Funding acquisition, Writing—review & editing.
References
- 1.Alicic R.Z., Rooney M.T. and Tuttle K.R. (2017) Diabetic kidney disease: challenges, progress, and possibilities. Clin. J. Am. Soc. Nephrol. 12, 2032–2045 10.2215/CJN.11491116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Umanath K. and Lewis J.B. (2018) Update on diabetic nephropathy: core curriculum 2018. Am. J. Kidney Dis. 71, 884–895 10.1053/j.ajkd.2017.10.026 [DOI] [PubMed] [Google Scholar]
- 3.Jiang A., Song A. and Zhang C. (2022) Modes of podocyte death in diabetic kidney disease: an update. J. Nephrol. 35, 1571–1584 10.1007/s40620-022-01269-1 [DOI] [PubMed] [Google Scholar]
- 4.Lin J.S. and Susztak K. (2016) Podocytes. The weakest link in diabetic kidney disease? Curr. Diab. Rep. 16, 45 10.1007/s11892-016-0735-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Barutta F., Bellini S. and Gruden G. (2022) Mechanisms of podocyte injury and implications for diabetic nephropathy. Clin. Sci. (Lond.) 136, 493–520 10.1042/CS20210625 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Mohandes S., Doke T., Hu H., Mukhi D., Dhillon P. and Susztak K. (2023) Molecular pathways that drive diabetic kidney disease. J. Clin. Invest. 133, e165654 10.1172/JCI165654 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Forbes J.M. and Thorburn D.R. (2018) Mitochondrial dysfunction in diabetic kidney disease. Nat. Rev. Nephrol. 14, 291–312 10.1038/nrneph.2018.9 [DOI] [PubMed] [Google Scholar]
- 8.Saxena S., Mathur A. and Kakkar P. (2019) Critical role of mitochondrial dysfunction and impaired mitophagy in diabetic nephropathy. J. Cell. Physiol. 234, 19223–19236 10.1002/jcp.28712 [DOI] [PubMed] [Google Scholar]
- 9.Mitrofanova A., Fontanella A.M., Burke G.W., Merscher S. and Fornoni A. (2022) Mitochondrial contribution to inflammation in diabetic kidney disease. Cells 11, 3635 10.3390/cells11223635 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Yao L., Liang X., Qiao Y., Chen B., Wang P. and Liu Z. (2022) Mitochondrial dysfunction in diabetic tubulopathy. Metabolism 131, 155–195 10.1016/j.metabol.2022.155195 [DOI] [PubMed] [Google Scholar]
- 11.Galvan D.L., Badal S.S., Long J., Chang B.H., Schumacker P.T., Overbeek P.A.et al. (2017) Real-time in vivo mitochondrial redox assessment confirms enhanced mitochondrial reactive oxygen species in diabetic nephropathy. Kidney Int. 92, 1282–1287 10.1016/j.kint.2017.05.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Qu H., Gong X., Liu X., Zhang R., Wang Y., Huang B.et al. (2021) Deficiency of mitochondrial glycerol 3-phosphate dehydrogenase exacerbates podocyte injury and the progression of diabetic kidney disease. Diabetes 70, 1372–1387 10.2337/db20-1157 [DOI] [PubMed] [Google Scholar]
- 13.Dagar S., Pathak D., Oza H.V. and Mylavarapu S.V.S. (2021) Tunneling nanotubes and related structures: molecular mechanisms of formation and function. Biochem. J. 478, 3977–3998 10.1042/BCJ20210077 [DOI] [PubMed] [Google Scholar]
- 14.Rustom A., Saffrich R., Markovic I., Walther P. and Gerdes H.H. (2004) Nanotubular highways for intercellular organelle transport. Science 303, 1007–1010 10.1126/science.1093133 [DOI] [PubMed] [Google Scholar]
- 15.Zurzolo C. (2021) Tunneling nanotubes: reshaping connectivity. Curr. Opin. Cell Biol. 71, 139–147 10.1016/j.ceb.2021.03.003 [DOI] [PubMed] [Google Scholar]
- 16.Cordero Cervantes D. and Zurzolo C. (2021) Peering into tunneling nanotubes-The path forward. EMBO J. 40, e105789 10.15252/embj.2020105789 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Rustom A. (2016) The missing link: does tunnelling nanotube-based supercellularity provide a new understanding of chronic and lifestyle diseases ? Open Biol. 6, 160057 10.1098/rsob.160057 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wang Y., Cui J., Sun X. and Zhang Y. (2011) Tunneling-nanotube development in astrocytes depends on p53 activation. Cell Death Differ. 18, 732–742 10.1038/cdd.2010.147 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.D'Aloia A., Arrigoni E., Costa B., Berruti G., Martegani E., Sacco E.et al. (2021) RalGPS2 interacts with Akt and PDK1 promoting tunneling nanotubes formation in bladder cancer and kidney cells microenvironment. Cancers (Basel) 13, 6330 10.3390/cancers13246330 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lee C.W., Kuo C.C., Liang C.J., Pan H.J., Shen C.N. and Lee C.H. (2022) Effects of the media conditioned by various macrophage subtypes derived from THP-1 cells on tunneling nanotube formation in pancreatic cancer cells. BMC Mol. Cell Biol. 23, 26 10.1186/s12860-022-00428-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Kretschmer A., Zhang F., Somasekharan S.P., Tse C., Leachman L., Gleave A.et al. (2019) Stress-induced tunneling nanotubes support treatment adaptation in prostate cancer. Sci. Rep. 9, 7826 10.1038/s41598-019-44346-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ranzinger J., Rustom A., Abel M., Leyh J., Kihm L., Witkowski M.et al. (2011) Nanotube action between human mesothelial cells reveals novel aspects of inflammatory responses. PloS ONE 6, e29537 10.1371/journal.pone.0029537 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Raghavan A., Rao P., Neuzil J., Pountney D.L. and Nath S. (2021) Oxidative stress and Rho GTPases in the biogenesis of tunnelling nanotubes: implications in disease and therapy. Cell. Mol. Life Sci. 79, 36 10.1007/s00018-021-04040-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hase K., Kimura S., Takatsu H., Ohmae M., Kawano S., Kitamura H.et al. (2009) M-Sec promotes membrane nanotube formation by interacting with Ral and the exocyst complex. Nat. Cell Biol. 11, 1427–1432 10.1038/ncb1990 [DOI] [PubMed] [Google Scholar]
- 25.Kimura S., Yamashita M., Yamakami-Kimura M., Sato Y., Yamagata A., Kobashigawa Y.et al. (2016) Distinct roles for the N- and C-terminal regions of M-Sec in plasma membrane deformation during tunneling nanotube formation. Sci. Rep. 6, 33548 10.1038/srep33548 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Abounit S., Bousset L., Loria F., Zhu S., de Chaumont F., Pieri L.et al. (2016) Tunneling nanotubes spread fibrillar a-synuclein by intercellular trafficking of lysosomes. EMBO J. 35, 2120–2138 10.15252/embj.201593411 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Dilsizoglu Senol A., Samarani M., Syan S., Guardia C.M., Nonaka T., Liv N.et al. (2021) a-Synuclein fibrils subvert lysosome structure and function for the propagation of protein misfolding between cells through tunneling nanotubes. PLoS Biol. 19, e3001287 10.1371/journal.pbio.3001287 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Zhang K., Sun Z., Chen X., Zhang Y., Guo A. and Zhang Y. (2021) Intercellular transport of Tau protein and β-amyloid mediated by tunneling nanotubes. Am. J. Transl. Res. 13, 12509–12522 [PMC free article] [PubMed] [Google Scholar]
- 29.Chakraborty R., Nonaka T., Hasegawa M. and Zurolo C. (2023) Tunneling nanotubes between neuronal and microglial cells allows bi-directional transfer of α-Synuclein and mitochondria. Cell Death Dis. 14, 329 10.1038/s41419-023-05835-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wang F., Chen X., Cheng H., Song L., Liu J., Caplan S.et al. (2021) MICAL2PV suppresses the formation of tunneling nanotubes and modulates mitochondrial trafficking. EMBO Rep. 22, e52006 10.15252/embr.202052006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Turos-Korgul L., Kolba M.D., Chroscicki P., Zieminska A. and Piwocka K. (2022) Tunneling nanotubes facilitate intercellular protein transfer and cell networks function. Front. Cell Dev. Biol. 10, 915117 10.3389/fcell.2022.915117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Dominici M., Le Blanc K., Mueller I., Slaper-Cortenbach I., Marini F., Krause D.et al. (2006) Minimal criteria for defining multipotent mesenchymal stromal cells. The international society for cellular therapy position statement. Cytotherapy 8, 315–317 10.1080/14653240600855905 [DOI] [PubMed] [Google Scholar]
- 33.Figeac F., Lesault P.F., Le Coz O., Damy T., Souktani R., Trébeau C.et al. (2014) Nanotubular crosstalk with distressed cardiomyocytes stimulates the paracrine repair function of mesenchymal stem cells. Stem Cells 32, 216–230 10.1002/stem.1560 [DOI] [PubMed] [Google Scholar]
- 34.Han H., Hu J., Yan Q., Zhu J., Zhu Z., Chen Y.et al. (2016) Bone marrow-derived mesenchymal stem cells rescue injured H9c2 cells via transferring intact mitochondria through tunneling nanotubes in an in vitro simulated ischemia/reperfusion model. Mol. Med. Rep. 13, 1517–1524 10.3892/mmr.2015.4726 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Acquistapace A., Bru T., Lesault P.F., Figeac F., Coudert A.E., le Coz O.et al. (2011) Human mesenchymal stem cells reprogram adult cardiomyocytes toward a progenitor-like state through partial cell fusion and mitochondria transfer. Stem Cells 29, 812–824 10.1002/stem.632 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Liu K., Ji K., Guo L., Wu W., Lu H., Shan P.et al. (2014) Mesenchymal stem cells rescue injured endothelial cells in an in vitro ischemia-reperfusion model via tunneling nanotube like structure-mediated mitochondrial transfer. Microvasc. Res. 92, 10–18 10.1016/j.mvr.2014.01.008 [DOI] [PubMed] [Google Scholar]
- 37.Pasquier J., Guerrouahen B.S., Al Thawadi H., Ghiabi P., Maleki M., Abu-Kaoud N.et al. (2013) Preferential transfer of mitochondria from endothelial to cancer cells through tunneling nanotubes modulates chemoresistance. J. Transl. Med. 11, 94 10.1186/1479-5876-11-94 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Feng Y., Zhu R., Shen J., Wu J., Lu W., Zhang J.et al. (2019) Human bone marrow mesenchymal stem cells rescue endothelial cells experiencing chemotherapy stress by mitochondrial transfer via tunneling nanotubes. Stem Cells Dev. 28, 674–682 10.1089/scd.2018.0248 [DOI] [PubMed] [Google Scholar]
- 39.Moschoi R., Imbert V., Nebout M., Chiche J., Mary D., Prebet T.et al. (2016) Protective mitochondrial transfer from bone marrow stromal cells to acute myeloid leukemic cells during chemotherapy. Blood 128, 253–264 10.1182/blood-2015-07-655860 [DOI] [PubMed] [Google Scholar]
- 40.Soundara Rajan T., Gugliandolo A., Bramanti P. and Mazzon E. (2020) Tunneling nanotubes-mediated protection of mesenchymal stem Cells: an update from preclinical studies. Int. J. Mol. Sci. 21, 3481 10.3390/ijms21103481 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.López-Doménech G., Covill-Cooke C., Ivankovic D., Halff E.F., Sheehan D.F., Norkett R.et al. (2018) Miro proteins coordinate microtubule- and actin-dependent mitochondrial transport and distribution. EMBO J. 37, 321–336 10.15252/embj.201696380 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Ahmad T., Mukherjee S., Pattnaik B., Kumar M., Singh S., Kumar M.et al. (2014) Miro1 regulates intercellular mitochondrial transport & enhances mesenchymal stem cell rescue efficacy. EMBO J. 33, 994–1010 10.1002/embj.201386030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Barutta F., Bellini S., Kimura S., Hase K., Corbetta B., Corbelli A.et al. (2023) Protective effect of the tunneling nanotube-TNFAIP2/M-sec system on podocyte autophagy in diabetic nephropathy. Autophagy 19, 505–524 10.1080/15548627.2022.2080382 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Barutta F., Kimura S., Hase K., Bellini S., Corbetta B., Corbelli A.et al. (2021) Protective role of the M-Sec-tunneling nanotube system in podocytes. J. Am. Soc. Nephrol. 32, 1114–1130 10.1681/ASN.2020071076 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Zhu Y., Luo M., Bai X., Lou Y., Nie P., Jiang S.et al. (2022) Administration of mesenchymal stem cells in diabetic kidney disease: mechanisms, signaling pathways, and preclinical evidence. Mol. Cell. Biochem. 477, 2073–2092 10.1007/s11010-022-04421-4 [DOI] [PubMed] [Google Scholar]
- 46.Bai Y., Wang J., He Z., Yang M., Li L. and Jiang H. (2019) Mesenchymal stem cells reverse diabetic nephropathy disease via lipoxin A4 by targeting transforming growth factor β (TGF-β)/smad pathway and pro-inflammatory cytokines. Med. Sci. Monit. 25, 3069–3076 10.12659/MSM.914860 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Sávio-Silva C., Soinski-Sousa P.E., Simplício-Filho A., Bastos R.M.C., Beyerstedt S. and Rangel É.B. (2021) Therapeutic potential of mesenchymal stem cells in a pre-clinical model of diabetic kidney disease and obesity. Int. J. Mol. Sci. 22, 1546 10.3390/ijms22041546 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Hickson L.J., Herrmann S.M., McNicholas B.A. and Griffin M.D. (2021) Progress toward the clinical application of mesenchymal stromal cells and other disease-modulating regenerative therapies: examples from the field of nephrology. Kidney360 2, 542–557 10.34067/KID.0005692020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Saleem M.A., O'Hare M.J., Reiser J., Coward R.J., Inward C.D., Farren T.et al. (2002) A conditionally immortalized human podocyte cell line demonstrating nephrin and podocin expression. J. Am. Soc. Nephrol. 13, 630–638 10.1681/ASN.V133630 [DOI] [PubMed] [Google Scholar]
- 50.Thayanithy V., Dickson E.L., Steer C., Subramanian S. and Lou E. (2014) Tumor-stromal cross talk: direct cell-to-cell transfer of oncogenic microRNAs via tunneling nanotubes. Transl. Res. 164, 359–365 10.1016/j.trsl.2014.05.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Hanna S.J., McCoy-Simandle K., Leung E., Genna A., Condeelis J. and Cox D. (2019) Tunneling nanotubes, a novel mode of tumor cell-macrophage communication in tumor cell invasion. J. Cell Sci. 132, jcs223321 10.1242/jcs.223321 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Naphade S., Sharma J., Gaide Chevronnay H.P., Shook M.A., Yeagy B.A., Rocca C.J.et al. (2015) Brief reports: lysosomal cross-correction by hematopoietic stem cell-derived macrophages via tunneling nanotubes. Stem Cells 33, 301–309 10.1002/stem.1835 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Li R.F., Zhang W., Man Q.W., Zhao Y.F. and Zhao Y. (2019) Tunneling nanotubes mediate intercellular communication between endothelial progenitor cells and osteoclast precursors. J. Mol. Histol. 50, 483–491 10.1007/s10735-019-09842-y [DOI] [PubMed] [Google Scholar]
- 54.Gousset K., Marzo L., Commere P.H. and Zurzolo C. (2013) Myo10 is a key regulator of TNT formation in neuronal cells. J. Cell Sci. 126, 4424–4435 10.1242/jcs.129239 [DOI] [PubMed] [Google Scholar]
- 55.Rüster C., Bondeva T., Franke S., Förster M. and Wolf G. (2008) Advanced glycation end-products induce cell cycle arrest and hypertrophy in podocytes. Nephrol. Dial. Transplant. 23, 2179–2191 10.1093/ndt/gfn085 [DOI] [PubMed] [Google Scholar]
- 56.Gu L., Hagiwara S., Fan Q., Tanimoto M., Kobata M., Yamashita M.et al. (2006) Role of receptor for advanced glycation end-products and signalling events in advanced glycation end-product-induced monocyte chemoattractant protein-1 expression in differentiated mouse podocytes. Nephrol. Dial. Transplant. 21, 299–313 10.1093/ndt/gfi210 [DOI] [PubMed] [Google Scholar]
- 57.Sartori‐Rupp A., Cordero Cervantes D., Pepe A., Gousset K., Delage E., Corroyer-Dulmont S.et al. (2019) Correlative cryo‐electron microscopy reveals the structure of TNTs in neuronal cells. Nat. Commun. 10, 342 10.1038/s41467-018-08178-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Vignais M.‐L., Caicedo A., Brondello J.‐M. and Jorgensen C. (2017) Cell connections by tunneling nanotubes: effects of mitochondrial trafficking on target cell metabolism, homeostasis, and response to therapy. Stem Cells Int. 2017, 6917941 10.1155/2017/6917941 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Dong L.F., Rohlena J., Zobalova R., Nahacka Z., Rodriguez A.M., Berridge M.V.et al. (2023) Mitochondria on the move: Horizontal mitochondrial transfer in disease and health. J. Cell Biol. 222, e202211044 10.1083/jcb.202211044 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Cho Y.M., Kim J.H., Kim M., Park S.J., Koh S.H., Ahn H.S.et al. (2012) Mesenchymal stem cells transfer mitochondria to the cells with virtually no mitochondrial function but not with pathogenic mtDNA mutations. PloS ONE 7, e32778 10.1371/journal.pone.0032778 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Spees J.L., Olson S.D., Whitney M.J. and Prockop D.J. (2006) Mitochondrial transfer between cells can rescue aerobic respiration. Proc. Natl Acad. Sci. 103, 1283–1288 10.1073/pnas.0510511103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Dong L.F., Kovarova J., Bajzikova M., Bezawork-Geleta A., Svec D., Endaya B.et al. (2017) Horizontal transfer of whole mitochondria restores tumorigenic potential in mitochondrial DNA-deficient cancer cells. eLife 6, e22187 10.7554/eLife.22187 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Liu D., Gao Y., Liu J., Huang Y., Yin J., Feng Y.et al. (2021) Intercellular mitochondrial transfer as a means of tissue revitalization. Signal Transduct Target Ther. 6, 65 10.1038/s41392-020-00440-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Driscoll J., Gondaliya P. and Patel T. (2022) Tunneling nanotube-mediated communication: a mechanism of intercellular nucleic acid transfer. Int. J. Mol. Sci. 23, 5487 10.3390/ijms23105487 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Turos-Korgul L., Kolba M.D., Chroscicki P., Zieminska A. and Piwocka K. (2022) Tunneling nanotubes facilitate intercellular protein transfer and cell networks function. Front Cell Dev. Biol. 10, 915117 10.3389/fcell.2022.915117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Astanina K., Koch M., Jüngst C., Zumbusch A. and Kiemer A.K. (2015) Lipid droplets as a novel cargo of tunnelling nanotubes in endothelial cells. Sci. Rep. 5, 11453 10.1038/srep11453 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Mittal R., Karhu E., Wang J.S., Elgado S., Zukerman R., Mittal J.et al. (2019) Cell communication by tunneling nanotubes: Implications in disease and therapeutic applications. J. Cell. Physiol. 234, 1130–1146 10.1002/jcp.27072 [DOI] [PubMed] [Google Scholar]
- 68.Babenko V.A., Silachev D.N., Popkov V.A., Zorova L.D., Pevzner I.B., Plotnikov E.Y.et al. (2018) Miro1 enhances mitochondria transfer from multipotent mesenchymal stem cells (MMSC) to neural cells and improves the efficacy of cell recovery. Molecules 23, 687 10.3390/molecules23030687 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.English K., Shepherd A., Uzor N.E., Trinh R., Kavelaars A. and Heijnen C.J. (2020) Astrocytes rescue neuronal health after cisplatin treatment through mitochondrial transfer. Acta Neuropathol Commun. 8, 36 10.1186/s40478-020-00897-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Tseng N., Lambie S.C., Huynh C.Q., Sanford B., Patel M., Herson P.S.et al. (2021) Mitochondrial transfer from mesenchymal stem cells improves neuronal metabolism after oxidant injury in vitro: The role of Miro1. J. Cereb. Blood Flow Metab. 41, 761–770 10.1177/0271678X20928147 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Panchal K. and Tiwari A.K. (2021) Miro (Mitochondrial Rho GTPase), a key player of mitochondrial axonal transport and mitochondrial dynamics in neurodegenerative diseases. Mitochondrion 56, 118–135 10.1016/j.mito.2020.10.005 [DOI] [PubMed] [Google Scholar]
- 72.Kruppa A.J., Kishi-Itakura C., Masters T.A., Rorbach J.E., Grice G.L., Kendrick-Jones J.et al. (2018) Myosin VI-dependent actin cages encapsulate parkin-positive damaged mitochondria. Dev. Cell 44, 484–499 10.1016/j.devcel.2018.01.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Kay L., Pienaar I.S., Cooray R., Black G. and Soundararajan M. (2018) Understanding Miro GTPases: implications in the treatment of neurodegenerative disorders. Mol. Neurobiol. 55, 7352–7365 10.1007/s12035-018-0927-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Li B., Zhang Y., Li H., Shen H., Wang Y., Li X.et al. (2020) Miro1 regulates neuronal mitochondrial transport and distribution to alleviate neuronal damage in secondary brain injury after intracerebral hemorrhage in rats. Cell. Mol. Neurobiol. 41, 795–812 10.1007/s10571-020-00887-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Zhang Y., Yu Z., Jiang D., Liao S., Zhang Z., Yue W.et al. (2016) PSC-MSCs with high intrinsic MIRO1 and sensitivity to TNF-alpha yield efficacious mitochondrial transfer to rescue anthracycline-induced cardiomyopathy. Stem Cell. Rep. 7, 749–763 10.1016/j.stemcr.2016.08.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Heyn J., Heuschkel M.A. and Goettsch C. (2023) Mitochondrial-derived vesicles-link to extracellular vesicles and implications in cardiovascular disease. Int. J. Mol. Sci. 24, 2637 10.3390/ijms24032637 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Crewe C., Funcke J.B., Li S., Joffin N., Gliniak C.M., Ghaben A.L.et al. (2021) Extracellular vesicle-based interorgan transport of mitochondria from energetically stressed adipocytes. Cell Metab. 33, 1853.e11–1868.e11 10.1016/j.cmet.2021.08.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.König T., Nolte H., Aaltonen M.J., Tatsuta T., Krols M., Stroh T.et al. (2021) MIROs and DRP1 drive mitochondrial-derived vesicle biogenesis and promote quality control. Nat. Cell Biol. 23, 1271–1286 10.1038/s41556-021-00798-4 [DOI] [PubMed] [Google Scholar]
- 79.Yousef H.N., Sakr S.M. and Sabry S.A. (2022) Mesenchymal stem cells ameliorate hyperglycemia in type I diabetic developing male rats. Stem Cells Int. 2022, 7556278 10.1155/2022/7556278 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.El-Sawah S.G., Rashwan H.M., Althobaiti F., Darwish M.K., Abd El-Lateef H.M., Khalaf M.M.et al. (2022) AD-MSCs and BM-MSCs ameliorating effects on the metabolic and hepato-renal abnormalities in type 1 diabetic rats. Saudi J. Biol. Sci. 29, 1053–1060 10.1016/j.sjbs.2021.09.067 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Liu Y., Chen J., Liang H., Cai Y., Li X., Yan L.et al. (2022) Human umbilical cord-derived mesenchymal stem cells not only ameliorate blood glucose but also protect vascular endothelium from diabetic damage through a paracrine mechanism mediated by MAPK/ERK signalling. Stem Cell Res. Ther. 13, 258 10.1186/s13287-022-02927-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Milanesi A., Lee J.W., Li Z., Da Sacco S., Villani V., Cervantes V.et al. (2012) β-Cell regeneration mediated by human bone marrow mesenchymal stem cells. PloS ONE 7, e42177 10.1371/journal.pone.0042177 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Wang S., Li Y., Zhao J. and Huang Y. (2013) Mesenchymal stem cells ameliorate podocyte injury and proteinuria in a type 1 diabetic nephropathy rat model. Biol. Blood Marrow Transplant. 19, 538–546 10.1016/j.bbmt.2013.01.001 [DOI] [PubMed] [Google Scholar]
- 84.Lv S.S., Liu G., Wang J.P., Wang W.W., Cheng J., Sun A.L.et al. (2013) Mesenchymal stem cells transplantation ameliorates glomerular injury in streptozotocin-induced diabetic nephropathy in rats via inhibiting macrophage infiltration. Int. Immunopharmacol. 17, 275–282 10.1016/j.intimp.2013.05.031 [DOI] [PubMed] [Google Scholar]
- 85.Zhang L., Li K., Liu X., Li D., Luo C., Fu B.et al. (2013) Repeated systemic administration of human adipose-derived stem cells attenuates overt diabetic nephropathy in rats. Stem Cells Dev. 22, 3074–3086 10.1089/scd.2013.0142 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Nagaishi K., Mizue Y., Chikenji T., Otani M., Nakano M., Konari N.et al. (2016) Mesenchymal stem cell therapy ameliorates diabetic nephropathy via the paracrine effect of renal trophic factors including exosomes. Sci. Rep. 6, 34842 10.1038/srep34842 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Lee S.E., Jang J.E., Kim H.S., Jung M.K., Ko M.S., Kim M.O.et al. (2019) Mesenchymal stem cells prevent the progression of diabetic nephropathy by improving mitochondrial function in tubular epithelial cells. Exp. Mol. Med. 51, 1–14 10.1038/s12276-019-0299-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Lv S., Cheng J., Sun A., Li J., Wang W., Guan G.et al. (2014) Mesenchymal stem cells transplantation ameliorates glomerular injury in streptozotocin-induced diabetic nephropathy in rats via inhibiting oxidative stress. Diabetes Res. Clin. Pract. 104, 143–154 10.1016/j.diabres.2014.01.011 [DOI] [PubMed] [Google Scholar]
- 89.Konari N., Nagaishi K., Kikuchi S. and Fujimiya M. (2019) Mitochondria transfer from mesenchymal stem cells structurally and functionally repairs renal proximal tubular epithelial cells in diabetic nephropathy in vivo. Sci. Rep. 9, 5184 10.1038/s41598-019-40163-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Lee R.H., Pulin A.A., Seo M.J., Kota D.J., Ylostalo J., Larson B.L.et al. (2009) Intravenous hMSCs improve myocardial infarction in mice because cells embolized in lung are activated to secrete the anti-inflammatory protein TSG-6. Cell Stem Cell. 5, 54–63 10.1016/j.stem.2009.05.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Planat-Benard V., Varin A. and Casteilla L. (2021) MSCs and inflammatory cells crosstalk in regenerative medicine: concerted actions for optimized resolution driven by energy metabolism. Front. Immunol. 12, 626755 10.3389/fimmu.2021.626755 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Morrison T.J., Jackson M.V., Cunningham E.K., Kissenpfennig A., McAuley D.F., O'Kane C.M.et al. (2017) Mesenchymal stromal cells modulate macrophages in clinically relevant lung injury models by extracellular vesicle mitochondrial transfer. Am. J. Respir. Crit. Care Med. 196, 1275–1286 10.1164/rccm.201701-0170OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Yuan Y., Yuan L., Li L., Liu F., Liu J., Chen Y.et al. (2021) Mitochondrial transfer from mesenchymal stem cells to macrophages restricts inflammation and alleviates kidney injury in diabetic nephropathy mice via PGC-1α activation. Stem Cells 39, 913–928 10.1002/stem.3375 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Upon submission, authors agree to make any materials, data, and associated protocols available upon request.









