Abstract
Background: The integrity and function of the blood‑brain barrier (BBB) are largely regulated by pericytes. Pericyte deficiency leads to BBB breakdown and neurological dysfunction in major neurological disorders including stroke and Alzheimer’s disease (AD). Transplantation of pericytes derived from induced pluripotent stem cells (iPSC‑PC) has been shown to restore the BBB and improve functional recovery in mouse models of stroke and pericyte deficiency. However, the molecular profile and functional properties of iPSC‑PC under hypoxic conditions, similar to those found in ischemic and neurodegenerative diseases remain largely unexplored.Methods: We examined iPSC‑PC under hypoxia to assess molecular marker expression, proliferation, ability to home to brain vessels, and uptake of amyloid beta (Aβ).Results: iPSC‑PC under severe hypoxia retain essential functional properties, including key molecular markers, proliferation rates, and the ability to migrate to host brain vessels via function‑associated PDGFRB‑PDGF‑BB signaling. Additionally, we show that iPSC‑PC exhibit similar clearance of Aβ neurotoxins from AD mouse brain sections under both normoxic and hypoxic conditions.Conclusions: These findings suggest that iPSC‑PC functions are largely resilient to hypoxia, highlighting their potential as a promising cell source for treating ischemic and neurodegenerative disorders.
Keywords: cell therapy, mural cells, neurodegeneration, ischemia, stroke
Significance statement.
Pericytes are critical support cells that help to maintain the brain’s protective barrier and clear toxic proteins linked to neurological diseases. When these cells are lost, the brain becomes more vulnerable to damage, as seen in stroke and Alzheimer’s disease. Stem cell-derived pericytes offer a promising therapeutic approach, but it is unclear whether they retain their key functional properties in low-oxygen conditions common in diseased brain tissue. Our study shows that induced pluripotent stem cell-derived pericytes retain key molecular and functional properties under severe hypoxia, supporting their potential as a treatment option for ischemic and neurodegenerative disorders.
Introduction
Pericytes are mural cells that wrap around the endothelium, playing an important role in maintaining blood–brain barrier (BBB) integrity, regulating blood flow, promoting vessel maturation, and clearing toxic proteins in the brain.1–8 Loss of pericytes leads to BBB breakdown, which is associated with neuronal dysfunction and poor outcomes in major neurological disorders, including stroke and Alzheimer’s disease (AD) in both mice and humans.9–12
Recently, protocols have been developed to generate pericytes from induced pluripotent stem cells (iPSC-PCs).13–15 Transplantation of iPSC-PCs has shown to enhance BBB integrity in mouse models of ischemic stroke16,17 and pericyte-deficient mice.15 Furthermore, iPSC-PCs exhibit a transcriptomic and proteomic signature similar to primary human brain pericytes.13–15
Despite these advances, molecular profiling of iPSC-PCs has largely been explored under normoxic conditions, even though cell therapy applications often involve reduced cerebral blood flow causing hypoxic environments, such as those seen after ischemic stroke18 or in AD.19 It remains unclear how hypoxia influences the molecular profile and functional properties of iPSC-PCs.
In this study, we demonstrate that iPSC-PCs retain the expression of canonical markers and show similar proliferation rates under severe hypoxia in vitro. Transcriptomic profiling revealed that while hypoxia-related pathways were upregulated, key functional components of iPSC-PCs, including tight junction and adhesion junction molecules, remained unaffected by hypoxia. Functionally, hypoxic iPSC-PC retained the ability to migrate toward host brain capillaries, extend processes, and form hybrid human–mouse microvessels with functional associations. Additionally, normoxic and hypoxic iPSC-PCs exhibited comparable abilities to phagocytose amyloid beta (Aβ) neurotoxins from AD mouse brain sections.
Methods
Mice
Platelet-derived growth factor receptor β mutant mice, PdgfrbF7/F7 on 129S1/SvlmJ background were used for ex vivo and in vivo studies, as described below. Mice express PDGFRb with 7 point mutations that disrupt signal transduction pathways, including residue 578 (Src), residue 715 (Grb2), residues 739 and 750 (PI3K), residue 770 (RasGAP), residue 1008 (SHP-2), by changing the tyrosine to phenylalanine, and residue 1020 (PLCγ), where tyrosine was mutated to isoleucine, as reported.20 PdgfrbF7/F7 mice express mutant PDGFRβ exclusively in perivascular mural cells including pericytes, and not in neurons, astrocytes, or brain endothelial cells.3,21 All procedures received approval (Protocol 20621) from the Institutional Animal Care and Use Committee at the University of Southern California in accordance with US National Institutes of Health guidelines and were conducted following the ARRIVE guidelines.22
Cell culture
Human iPSC cultures were generated from skin fibroblasts as previously described.23 Human iPSC-PC were generated via neural crest cell (NCC) intermediates following previously established protocols.13,14 Briefly, iPSC were cultured on growth factor-reduced matrigel (Corning, 356230) in mTeSR Plus medium (StemCell Technologies, 100-0276). NCC differentiation was induced using STEMdiff Neural Crest Differentiation Kit (StemCell Technologies, 08610). Prior to differentiation, iPSCs were washed with Phosphate-Buffered Saline (PBS), dissociated with Accutase (Thermo Fisher, A1110501) for 5 min, centrifuged at 200g for 4 min, and counted using a Countess 3 (Thermo Fisher, AMQAX2000). Induced pluripotent stem cells were then seeded at a density of 0.75-1×105 cells/cm2 in mTeSR plus (StemCell Technologies, 1000276) supplemented with 10 mM Y-27632 (Tocris, 1254). Seeding densities were adjusted for each iPSC line to ensure 100% confluency at differentiation days 3-4. Media were changed daily using NCC media from the STEMdiff kit. After 6 days of differentiation, iPSC-NCC were dissociated using Accutase for 5 min and purified using EasySep Release Human PSC-derived NCC Positive Selection Kit (StemCell Technologies, 100-0047), following the manufacturer’s instructions.
Neural crest cells were further differentiated to iPSC-PC. Induced pluripotent stem cell-derived NCCs were replated onto matrigel-coated 6-well plates at a 1:2 split ratio, and pericyte medium (ScienCell, 1201) was introduced the following day. Media were changed daily, and once cells reached 70%-80% confluence, they were passaged using 0.05% Trypsin/EDTA (Thermo Fisher, 25300054) and replated onto poly-L-lysine (PLL)-coated dishes. After 14 days of differentiation, iPSC-PCs were transferred onto glass coverslips for subsequent imaging.
For hypoxia induction, iPSC-PCs from the same cell line were cultured under either normoxic (21% O2) or hypoxic (1% O2) conditions for up to 7 days using a Hypoxia Incubator Chamber (STEMCELL Technologies, 27310) according to the manufacturer’s instructions. After hypoxia treatment, cells were either fixed for immunocytochemical analysis, processed for RNA sequencing, or added to brain tissue for ex vivo assays.
Immunostaining
Pericytes from induced pluripotent stem cells were plated on glass coverslips and maintained in culture before fixation with 4%Paraformaldehyde (PFA) for 10 min. Cells were then rinsed twice with sterile PBS, followed by 3 consecutive 5-min washes in PBS. Blocking was performed for at least 1 h in PBS containing 5% donkey serum and 0.5% Triton X-100. Cells were incubated overnight at 4 °C with primary antibodies against PDGFRβ (R&D Systems, AF385, 1:100, Goat) and NG2 (Sigma, AB5320, 1:500, Rabbit) diluted in PBS supplemented with 5% donkey serum (PBSD). The following day, cells underwent five 8-min washes in PBS before incubation with secondary antibodies (Invitrogen, A32794, Alexa Fluor Plus 555, 1:300, and Invitrogen, A32860, Alexa Fluor Plus 680, 1:300, Donkey) in PBSD for 1-2 h at room temperature. After 4 additional 8-min PBS washes, coverslips were mounted with DAPI-containing mounting medium (Southern Biotech, 0100-20) and imaged using a Nikon A1R confocal microscopy system with NIS-Elements software, using 10×, 20×, and 60× objectives.
Quantification of PDGFRB- and NG2-positive cells
All samples were stained and imaged using identical image acquisition settings; images were processed and analyzed using ImageJ (Fiji), similar to previous studies.24 Fluorescence signal from the marker of interest (PDGFRB, NG2) was thresholded using Otsu thresholding plugin25 in each image. The thresholding was performed in the same manner for all samples. Analyze Particles function was used to determine the number of marker-positive cells. To calculate the percentage of positive cells, the number of marker-positive cells was normalized to the total DAPI-positive nuclei count for each image. DAPI-stained nuclei were used to identify individual cells and to normalize pericyte marker expression. Overlap between NG2 or PDGFRB signals and surrounding DAPI+ nuclei was assessed to determine marker-positive cells. Investigators were blinded to sample identity during analysis to avoid bias. Regions with lower cell density were preferentially analyzed to facilitate individual cell identification and minimize segmentation errors in high-density areas.
RNA sequencing and analysis
Total RNA from iPSC-PC was extracted using RNeasy RNA isolation kit (Qiagen, 73404), including DNase treatment to remove residual genomic DNA, according to the manufacturer’s instruction, and as previously described.26–30 All samples had an RIN value greater than 8.5. Library preparation, sequencing, read processing, alignment, and read counting were performed at the USC Norris Cancer Center Molecular Genomics Core. For library preparation, the TruSeq Stranded RNA kit (Illumina Inc.) was used following the manufacturer’s protocol. mRNA was purified via polyA selection, chemically fragmented, and transcribed into cDNA before adapter ligation. Initial data preprocessing, including quality control, adapter trimming, and filtering of low-quality reads, was performed using Galaxy open source platform. Reads were aligned to the human genome (GRCh38) using STAR aligner with default parameters. RNA sequencing data analysis and gene set enrichment analysis were conducted as previously described27,28,31 and using standard guidelines with EdgeR32 and clusterProfiler 4.033 with default parameters, applying the Benjamini–Hochberg (BH) method for multiple testing correction.
Preparation and analysis of ex vivo living brain slices
We used acute living brain slice culture as a method to study IPSC-PC–vascular interactions in a physiologically relevant brain environment ex vivo. For this assay, iPSC-PCs were labeled with CellTracker Green CMFDA (Invitrogen, C7025) following the manufacturer’s instructions, and cultured in either normoxic or hypoxic condition for 1 week before the brain slice preparation. The 8-month-old PdgfrbF7/F7 mice were retroorbitally injected with 80 μL DyLight-649 labeled Lycopersicon esculentum lectin (Vector Laboratories, DL-1178-1)3 to identify blood vessels at least 15 min prior to euthanasia. Mice were deeply aestheticized with 5% Isoflurane, then, rapidly decapitated and brain extracted into ice-cold Hibernate A minus Phenol Red medium (Transnetyx Tissue, HAPR500). Slice preparation was performed on a Leica VT1000S vibratome. Coronal slices (250 μm) containing the hippocampus were then cut in ice-cold Hibernate A minus Phenol Red medium.
After sectioning, slices were maintained in homing medium containing DMEM (Gibco, 10569010), 5% FBS (Gibco, 16140-071), Pen-Strep (Gibco, 15140122), 2% platelet lysate (Stem Cell Technology, 200-0323), antioxidant (Sigma-Aldrich, A1345), GlutaMAX (Gibco, 35050061), Na-Pyruvate (Gibco, 11360070), CultureBoost (Cell Systems, 4CB-500), Pericyte Supplement (ScienCell, 1252). Subsequently, 50 000 iPSC-PCs were added on top of each brain slice and allowed to integrate with the tissue in an incubator maintained at 37 °C in either normoxic or hypoxic conditions for 24 h. Brain slices were fixed in 4% PFA for 30 min, mounted on slides, coverslipped with mounting media and imaged on a Nikon A1R confocal microscopy system with NIS-Elements software control. The iPSC-PC on brain slices were scored as (1) being associated with a vessel and forming processes, (2) associated with a vessel without processes, or (3) not associated with a vessel.
Proximity ligation assay
The interactions of PDGF-BB and PDGFRβ in the brain slices were determined by proximity ligation assay (PLA) using NaveniFlex Tissue GR Red (Navinci, 39220). After fixation and blocking, brain slices were incubated with rabbit anti-PDGF-BB IgG (Invitrogen, MA5-51346, 1:100) and goat anti-human PDGFRβ IgG (R&D Systems, BAF385, 1:50) overnight at 4 °C. Proximity ligation was then conducted following the manufacturer’s instructions. Proximity ligation results in a fluorescence signal only when the PLA agent detects the antibodies for PDGFRβ and PDGF-BB within close proximity, indicating likely colocalization of PDGFRβ and PDGF-BB.
Aβ uptake assay from brain sections
Pericytes from induced pluripotent stem cells were labeled with CellTracker Green CMFDA (Invitrogen, C7025) and cultured in either normoxic or hypoxic conditions for 1 week before the brain slice preparation. Mice were transcardially perfused with cold PBS prior to tissue collection. Brains were fresh-frozen and stored at −80 °C. Cryosections (20 μm) from 9- to 11-month-old 5×FAD mouse brains were mounted on PLL-coated coverslips and stored at −80 °C. For each experimental replicate, consecutive adjacent sections from the same brain region (cortex and hippocampus) were used across the 3 experimental groups. Prior to use, sections were thawed, rinsed with PBS, and incubated in pericyte culture medium (ScienCell) for 2 h at 37 °C. Pericytes from induced pluripotent stem cells were seeded onto tissue sections at 100k cells/well, with “no-cell” controls included. Cultures were maintained for 24 h at 37 °C. Sections were then fixed in 4% paraformaldehyde, permeabilized in PBS containing donkey serum and 0.075% Triton X-100, and stained with a pan-Aβ antibody (1:1200, Cell Signaling Technology) followed by secondary antibody incubation. Coverslips were mounted using DAPI-containing mounting medium and imaged using a confocal microscope at 4× magnification. For analysis, images were binarized using a customized threshold and percentage of Aβ signal were quantified in cortex and hippocampus using ImageJ (Fiji).
Statistics
Data are presented as mean±SEM. All analyses were performed using GraphPad Prism 10 or R Studio 3.6.0. Normality of the data was tested using the Shapiro–Wilk test. For comparisons between 2 groups, an unpaired 2-tailed Student’s t-test was used for independent samples, and a paired t-test was applied for repeated measures. For multiple group comparisons, a 1-way analysis of variance (ANOVA) was used, followed by Tukey’s post hoc test for pairwise comparisons. For repeated measures across different groups, a repeated measures mixed model was applied. For quantification of gene expression changes in transcriptomic data, differential gene expression analysis was performed using EdgeR, and multiple testing correction was applied using the BH method. Statistical significance was defined as *P < .05, **P < .01, and ***P < .001.
Results
Hypoxia does not impact the growth or canonical marker expression in iPSC-PC
We generated pericyte-like cells from IPSCs via NCC intermediates as previously described,15 and exposed iPSC-PC to hypoxia for 1 week (iPSC-PCHYP). We used a control group of iPSC-PC under normoxic conditions (iPSC-PCNORM). We confirmed that O2 levels were stably reduced to 1% oxygen in the hypoxic group throughout the experiment (Figure 1B). Proliferation rates of iPSC-PCHYP were similar to those of control iPSC-PCNORM at 3, 5, and 7 days after hypoxia induction (Figure 1C). We observed no significant differences in the percentage of total cells expressing the canonical pericyte markers NG2 (iPSC-PCHYP: 83.7%; iPSC-PCNORM: 79.4%, P > .05) and PDGFRB (iPSC-PCHYP: 82.1%; iPSC-PCNORM: 85.7%, P > .05) in fluorescence immunostaining (Figure 1E and F). Additionally, the fluorescence signal intensity of NG2 and PDGFRB expressing cells was comparable between both groups (all P values greater than .05) (Figure 1E and G).
Figure 1.
Growth and canonical marker expression of iPSC-PCs under hypoxia. (A) Schematic overview of the experimental setup. (B) Oxygen concentration in the hypoxia chamber over 72 h. (C) Representative images of iPSC-PCs at 7 days after hypoxia induction and normoxic iPSC-PC control. (D) Proliferation of iPSC-PCs at 0, 3, 5, and 7 days after hypoxia induction. Scale bar: 50 µm, n = 3. (E) Fluorescence images of iPSC-PCs stained for the canonical pericyte markers NG2 (magenta) and PDGFRB (green), counterstained with DAPI (blue). Scale bar: 10 µm. (F) Quantification of the percentage of cells expressing NG2 and PDGFRB, n = 6. (G) Relative fluorescence intensity of NG2 and PDGFRB under normoxia and hypoxia, n = 6. Each dot represents an independent iPSC-PC culture. In line plots (D), the ribbon around each line plot represents the SEM. In box plots (F, G), the box represents the interquartile range, the horizontal line indicates the median, the white diamond represents mean, and whiskers show the minimum and maximum values. Statistical analysis was performed using a repeated measures mixed model for (D) and an unpaired t-test for (F, G). P > .05. Abbreviations: iPSC-PCs = pericytes derived from induced pluripotent stem cells; ns=nonsignificant.
These data suggest that hypoxia does not affect growth or canonical marker expression in iPSC-PC.
The transcriptomic profile of iPSC-PC shows only minimal responses to hypoxia
To investigate the transcriptomic signature of iPSC-PC under hypoxia, we performed RNA-seq after 1 week of hypoxia. Overall, only 4.4% of all detected genes were differentially expressed genes (DEGs), with 1.7% upregulated and 2.7% downregulated in response to hypoxia (Figure 2A and B). As expected, genes and pathways associated with hypoxia were upregulated, including gene ontology terms “response to decreased oxygen levels,” “response to oxygen levels,” and “response to hypoxia” in iPSC-PCHYP compared to IPSC-PCNORM (Figure 2C).
Figure 2.
Transcriptomic analysis of iPSC-PCs under hypoxia. (A) Experimental setup for RNA sequencing after 1 week of hypoxia. (B) Percentage of differentially expressed genes (DEGs) in iPSC-PCHYP compared to iPSC-PCNORM. (C) Gene interaction network highlighting hypoxia-responsive genes (small dots) within enriched pathways related to hypoxia (large green dots) upregulated in iPSC-PCHYP. (D) Normalized expression levels of canonical pericyte markers in iPSC-PCHYP and iPSC-PCNORM. (E) Expression levels of key junction proteins in iPSC-PCHYP and iPSC-PCNORM. (F) Expression levels of adhesion in iPSC-PCHYP and iPSC-PCNORM. (G) Volcano plot showing DEGs, with selected DEG labeled (magenta, upregulated; blue, downregulated). (H) Gene set enrichment analysis (GSEA) showing most upregulated and downregulated in iPSC-PCHYP and iPSC-PCNORM. Data represent n = 6 independent cultures. Genes with FDR < 0.05 and |log2 FC|>1.5 were considered significantly differentially expressed. Abbreviations: iPSC-PCs = pericytes derived from induced pluripotent stem cells; ns = nonsignificant.
Next, we explored whether genes encoding for canonical pericyte markers including PDGFRβ (PDGFRB), Caldesmon (CALD1), NG2 (CSPG4), CD13 (ANPEP), and Vitronectin (VTN) changed in response to hypoxia. Consistent with the histology data (Figure 1), we did not detect significant gene expression changes in canonical pericyte markers between iPSC-PCHYP and iPSC-PCNORM (all false discovery rates (FDR) values greater than 0.05, Figure 2D). We then examined whether hypoxia influenced the expression of genes encoding for major functional components of iPSC-PC including cell adhesion and tight junction proteins (Figure 2E and F). We found no significant changes in the expression of genes encoding for major junction proteins (DLG1, JAM3, JCAD, JUP, TJP2, all FDR values greater than >0.05) and adhesion junction proteins (ADGRA2, BCAM, CADM4, MCAM, SMAGP, all P values greater than .05) (Figure 2E and F). Among the genes most significantly upregulated upon hypoxia, we detected ICAM5 (log2FC = 1.92, FDR<0.001), HIF3A (log2FC = 5.60, FDR<0.001), CA9 (log2FC = 4.35, FDR = 0.001), and TEK (log2FC = 2.08, FDR<0.001), which are known regulators of vascular adaptation to hypoxia (Figure 2G). Conversely, genes downregulated in response to hypoxia included GYS2 (log2FC = −6.69, FDR<0.001), CHAC1 (log2FC = −5.87, FDR<0.001), LAMP3 (log2FC = −5.87, FDR<0.001), and CD36 (log2FC = −6.90, FDR = 3.08e-02), which are associated with reduced glucose and lipid metabolic processes (Figure 2G).
Given that hypoxia is known to influence various cellular processes beyond oxygen response, we conducted a gene set enrichment analysis (GSEA) to identify additional pathways affected by hypoxia. Primary pathways that were upregulated in response to hypoxia, aside from those related to hypoxia, included endocrine and hormonal regulation, immune responses, and vascular regulators (Figure 2H). In contrast, downregulated pathways were associated with biosynthetic processes including amino acid and lipid metabolism (Figure 2H), which is consistent with the observed DEGs.
Collectively, these data suggest that while hypoxia triggers expected oxygen-related responses and pathways associated with metabolism, it does not significantly impact the gene expression of canonical pericyte markers or key structural and functional components.
iPSC-PC functionally home to the mouse brain vasculature under hypoxia
The ability of iPSC-PC to wrap around brain capillaries is a prerequisite for pericyte-based therapies to restore the BBB integrity. To evaluate whether iPSC-PC retain their ability to functionally home to the mouse brain capillaries and form hybrid microvessels under hypoxic conditions, we used acute living brain slices from pericyte-deficient PdgfrbF7/F7 mice and incubated them for 24 h with iPSC-PC under 3 conditions: (1) iPSC-PCNORM with normoxic brain slices (iPSC-PCNORM + BRAINNORM), (2) iPSC-PCHYP with normoxic brain slices (iPSC-PCHYP + BRAINNORM), and (3) iPSC-PCHYP with hypoxic brain slices (iPSC-PCHYP + BRAINHYP) to mimic the hypoxic host environment (Figure 3A and B).
Figure 3.
IPSC-PC home to brain capillaries and form functional hybrid microvessels under normoxia and hypoxia. (A) Schematic overview of experimental setup. Acute brain slices from pericyte-deficient PdgfrbF7/F7 mice were incubated with iPSC-PC under 3 conditions: (1) PSC-PCNORM + BRAINNORM, (2) PSC-PCHYP + BRAINNORM, and (3) PSC-PCHYP + BRAINHYP. (B) Representative confocal images showing iPSC-PC (green, CellTracker) interacting with host brain capillaries (magenta, Lectin). Scale bar: 20 μm. (C) Quantification of IPSC-PC homing and process formation with the host brain endothelium across conditions. (D) Schematic of the proximity ligation assay (PLA) used to assess pericyte–endothelial cell contact of PDGFRB (pericytes) and PDGF-BB (endothelium). (E) Representative PLA images showing PDGFRB-PDGF-BB colocalization (red) at the pericyte–endothelial interface under all 3 conditions, confirming functional interaction. Scale bar: 5 μm. Data represent n = 4 independent cell cultures for each condition. Statistical significance was determined by 1-way ANOVA followed by Tukey’s post hoc test. Abbreviations: iPSC-PCs = pericytes derived from induced pluripotent stem cells; ns=nonsignificant.
We first quantified the percentage of iPSC-PC that homed to the host brain endothelium, distinguishing between those cells that formed processes along the vessels and those without processes. Across all groups, we found that a similar proportion of iPSC-PC homed with processes (iPSC-PCNORM + BRAINNORM: 60.9 ± 4.7%, iPSC-PCHYP + BRAINNORM: 44.9 ± 6.3%, iPSC-PCHYP + BRAINHYP: 54.9 ± 3.1%, P > .05) and homed without forming processes (iPSC-PCNORM + BRAINNORM: 24.3 ± 3.1%, iPSC-PCHYP + BRAINNORM: 26.8 ± 3.4%, iPSC-PCHYP + BRAINHYP: 21.5 ± 2.6%, P > .05). Only a minor fraction of iPSC-PC failed to home in all experimental groups (iPSC-PCNORM + BRAINNORM: 14.8 ± 1.8%, iPSC-PCHYP + BRAINNORM: 28.3 ± 3.5%, iPSC-PCHYP + BRAINHYP: 23.5 ± 4.7%, P > .05) (Figure 3C).
Next, we aimed to investigate whether the iPSC-PC can form functional interactions with the host endothelium of PdgfrbF7/F7 mice. We performed PLA targeting known pericyte–endothelial cell interaction molecules, PDGFRB, and PDGF-BB34–36 (Figure 3D). Proximity ligation assay signal of PDGFRB/PDGF-BB was detectable in all 3 experimental groups at the pericyte–endothelial interface (PDGFRB+ Lectin+), suggesting the formation of functional pericyte–endothelial contacts in all 3 experimental conditions (Figure 3E).
IPSC-PC phagocytic properties of Aβ neurotoxins remain unchanged under hypoxia
Previous studies suggest that pericytes can phagocytose Aβ in vitro.15,37,38 Therefore, we aimed to test whether iPSC-PC have comparable Aβ clearance properties under normoxic and hypoxic conditions. We used consecutive frozen brain sections from 10-month-old 5×FAD mice, which are known to have significant Aβ pathology at this age,39,40 and incubated these sections with iPSC-PCNORM and iPSC-PCHYP to these sections for 24 h. Brain sections from 5×FAD mice without cells served as a negative control (Figure 4A). After confirming the presence of iPSC-PC on the brain sections after 24 h, we quantified the Aβ load in the cortex and hippocampus (Figure 4B). We observed a similar reduction in Aβ levels, which decreased from 32.2 ± 1.5% in the control group to 21.7 ± 0.5% in iPSC-PCNORM (P < .01) and to 23.9 ± 1.7% in iPSC-PCHYP, (P < .05) in the cortex (Figure 4C). A similar trend was observed in the hippocampus, with Aβ levels reduced from 24.3 ± 1.3% in the control to 20.1 ± 0.7% (iPSC-PCHYP, P = .2, Figure 4C) after cell incubations. Notably, no significant differences in Aβ uptake were observed between iPSC-PC under normoxic and hypoxic conditions, suggesting similar phagocytic properties in both environments (all P values greater than .05, Figure 4C).
Figure 4.
IPSC-PC phagocytose Aβ from brain sections of aged 5×FAD mice under normoxia and hypoxia. (A) Schematic overview of experimental setup. Frozen brain sections from 10-month-old 5×FAD mice were incubated with iPSC-PC under 3 conditions: (1) no cells, (2) iPSC-PCNORM, and (3) iPSC-PCHYP. (B) Representative confocal images showing Aβ (black). Magnification view within the section showing iPSC-PC (green, CellTracker) and Aβ (gray). Scale bar: overview: 200 μm, zoom in: 50 μm (C) Quantification of Aβ load (%) in the cortex (ctx) and hippocampus (hpc). Each dot represents an individual brain section, with dotted lines connecting paired consecutive sections from the same brain region across conditions. Data represent n = 5 independent cell cultures for each condition. Bars represent mean, each dot represents iPSC-PC added to a different brain slice. Dashed lines indicate consecutive brain sections. Asterisks indicate significance: *P < .05, **P < .01 using paired t-test with correction for multiple testing. Abbreviations: Aβ = amyloid beta; iPSC-PCs = pericytes derived from induced pluripotent stem cells.
Discussion
In this study, we show that iPSC-PC retain their major molecular and functional properties under 1 week of severe hypoxia. We identified similar growth rates, expression of canonical pericyte markers and junctional and adhesion proteins were unaffected by hypoxia. Additionally, IPSC-PC can home to pericyte-deficient host vessels in a hypoxic environment and have similar phagocytic properties of Aβ to normoxic iPSC-PC.
Traditionally, brain pericytes have been considered to be highly susceptible to hypoxia as they are often the first nonneural cell types lost after severe hypoxia, for example, after experimental stroke26,27,41,42 or pathological CBF changes in dementias24,43,44 contributing to BBB disruption and subsequent neurodegeneration.1 Therefore, transplantation of pericytes is an interesting therapeutic target to restore the BBB; however, it was uncertain whether iPSC-PC can retain their functional properties in the hypoxic microenvironment. While a recent study showed that transplantation of mouse pericytes can increase CBF and reduce Aβ pathology in amyloid model mice,45 the study used mesoderm-derived pericytes. However, in major neurological disorders including stroke and AD, pericyte degeneration is often observed in the cortex and hippocampus, which primarily affects forebrain NCC-derived pericytes, but not mesodermal pericytes.46 Our data now show that NCC-derived iPSC-PC, which have been previously shown to closely resemble NCC-derived primary forebrain pericytes,15 can also sustain an hypoxic environment.
We observed in hypoxic iPSC-PC energy metabolic reprogramming, which has been previously observed in vascular cells, favoring, for example, glycolysis over oxidative phosphorylation.47,48 Additionally, upregulation of ICAM5, HIF3A, CA9, and TEK in hypoxia-exposed pericytes could suggest an adaptive mechanism to maintain vascular support.49,50 Furthermore, hypoxic iPSC-PC maintained expression of the important pericyte–endothelial communication signaling of PDGFRB and PDGF-BB, which has been previously described to be important for maintaining the BBB-supporting functions of pericytes.34–36 While we identified the molecular signature of hypoxic iPSC-PC and their interaction with endothelial cells, we used a simplified in vitro model with reduced (1% O2) concentration and ex vivo brain slices; however, in vivo validation should be performed in future studies to assess iPSC-PC physiological integration to the host vasculature and therapeutic efficacy. Additionally, while our study examined the response of iPSC-PC for 1 week after hypoxia, prolonged hypoxia may induce additional changes in iPSC-PC that need further exploration. Although we quantified the proportion of iPSC-PCs that home to host vasculature, we did not perform spatial mapping to determine whether iPSC-PCs preferentially localize to branch points or associate with residual endogenous pericytes in PdgfrbF7/F7 mice. Future studies may address these important interactions. Future studies could also explore the addition of normoxic iPSC-PCs to hypoxic brain tissue, as this would be important to understand how cultured iPSC-PCs function in a hypoxic environment and whether their molecular and functional properties are maintained after transplantation.
Previous work has shown that pericytes can phagocytose Aβ in vitro,15,37,38 which is in accordance with our findings. We additionally show that iPSC-PC retain their Aβ phagocytic properties under hypoxia indicating that iPSC-PC could take up Aβ even in the presence of a low-oxygen environment in AD. Future studies could confirm these findings in AD mouse models to assess iPSC-PC therapeutic potential in vivo. Potentially, the ability of iPSC-PC to improve the vascular and Aβ pathology in AD could also be tested in new AD mouse models with a stronger vascular phenotype.51 In our Aβ phagocytosis assay, while we observed a reduction in Aβ after iPSC-PC exposure, we did not quantify the spatial relationship between iPSC-PCs and Aβ plaques or vessels. Future work will be necessary to determine whether Aβ clearance is driven primarily by perivascular interactions or plaque-associated phagocytosis.
In conclusion, the present study provides support that iPSC-PC maintain their major functional properties under hypoxia. Therefore, iPSC-PC might be a suitable cell source for future brain transplants for neurological disorders that are associated with pericyte deficiency and hypoxia such as stroke, AD, and other related disorders.
Contributor Information
Mingzi Zhang, Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA 90033, United States; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States.
Youbin Kim, Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA 90033, United States; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States.
Allison Bosworth, Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA 90033, United States; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States.
Julia Tcw, Department of Pharmacology, Physiology & Biophysics, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02118, United States.
Lina R Nih, Department of Brain Health, Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, NV 89154, United States.
Kassandra Kisler, Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA 90033, United States; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States.
Abhay P Sagare, Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA 90033, United States; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States.
Ruslan Rust, Department of Physiology and Neuroscience, University of Southern California, Los Angeles, CA 90033, United States; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States.
Author contributions
Mingzi Zhang (Conceptualization, Data curation, Formal analysis, Investigation, Methodology), Youbin Kim (Conceptualization, Data curation, Formal analysis, Investigation, Methodology), Allison Bosworth (Data curation, Formal analysis), Julia Tcw (Methodology), Lina R. Nih (Methodology), Kassandra Kisler (Investigation, Methodology), Abhay P. Sagare (Investigation, Methodology), and Ruslan Rust (Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration)
Funding
R.R. acknowledges funding support from Swiss 3R Competence Center (OC-2020-002), the Swiss National Science Foundation (CRSK-3_195902, PZ00P3_216225) and Keck School of Medicine (KSOM) Dean’s Pilot Funding Program Award. J.T. acknowledges funding support from NIH NIA R01AG082362, R01AG083941, U19AG069701.
Conflicts of interest
None declared.
Data availability
All data are available upon request. RNA-seq data will be made publicly available on NCBI GEO.
References
- 1. Armulik A, Genové G, Mäe M, et al. Pericytes regulate the blood–brain barrier. Nature. 2010;468:557-561. [DOI] [PubMed] [Google Scholar]
- 2. Daneman R, Zhou L, Kebede AA, Barres BA. Pericytes are required for blood–brain barrier integrity during embryogenesis. Nature. 2010;468:562-566. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Bell RD, Winkler EA, Sagare AP, et al. Pericytes control key neurovascular functions and neuronal phenotype in the adult brain and during brain aging. Neuron. 2010;68:409-427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Hall CN, Reynell C, Gesslein B, et al. Capillary pericytes regulate cerebral blood flow in health and disease. Nature. 2014;508:55-60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Ayloo S, Lazo CG, Sun S, et al. Pericyte-to-endothelial cell signaling via vitronectin-integrin regulates blood-CNS barrier. Neuron. 2022;110:1641-1655.e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Rust R, Yin H, Achón Buil B, Sagare A, Kisler K. The blood–brain barrier: a help and a hindrance. Brain. 2025;148:2262-2282. 10.1093/brain/awaf068 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Rust R, Sagare AP, Zhang M, Zlokovic BV, Kisler K. The blood–brain barrier as a treatment target for neurodegenerative disorders. Exp Opin Drug Deliv. 2025;22:673-692. [DOI] [PubMed] [Google Scholar]
- 8. Lacoste B, Prat A, Freitas-Andrade M, Gu C. The blood-brain barrier: composition, properties, and roles in brain health. Cold Spring Harb Perspect Biol. 2025;17. 10.1101/cshperspect.a041422 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Nadareishvili Z, Simpkins AN, Hitomi E, Reyes D, Leigh R. Post-stroke blood-brain barrier disruption and poor functional outcome in patients receiving thrombolytic therapy. Cerebrovasc Dis. 2019;47:135-142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Nation DA, Sweeney MD, Montagne A, et al. Blood–brain barrier breakdown is an early biomarker of human cognitive dysfunction. Nat Med. 2019;25:270-276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Montagne A, Nation DA, Sagare AP, et al. APOE4 leads to blood–brain barrier dysfunction predicting cognitive decline. Nature. 2020;581:71-76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Kirabali T, Rust R, Rigotti S, et al. Distinct changes in all major components of the neurovascular unit across different neuropathological stages of Alzheimer’s disease. Brain Pathol. 2020;30:1056-1070. 10.1111/bpa.12895 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Faal T, Phan DTT, Davtyan H, et al. Induction of mesoderm and neural crest-derived pericytes from human pluripotent stem cells to study blood-brain barrier interactions. Stem Cell Rep. 2019;12:451-460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Stebbins MJ, Gastfriend BD, Canfield SG, et al. Human pluripotent stem cell-derived brain pericyte-like cells induce blood-brain barrier properties. Sci Adv. 2019;5:eaau7375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Rust R, Sagare AP, Kisler K, et al. Molecular signature and functional properties of human pluripotent stem cell-derived brain pericytes. bioRxiv 546577. 10.1101/2023.06.26.546577, 2025, preprint: not peer reviewed. [DOI]
- 16. Sun J, Huang Y, Gong J, et al. Transplantation of hPSC-derived pericyte-like cells promotes functional recovery in ischemic stroke mice. Nat Commun. 2020;11:5196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Kirabali T, Rust R. iPS-derived pericytes for neurovascular regeneration. Eur J Clin Invest. 2021;51:e13601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Markus R, Reutens DC, Kazui S, et al. Hypoxic tissue in ischaemic stroke: persistence and clinical consequences of spontaneous survival. Brain. 2004;127:1427-1436. [DOI] [PubMed] [Google Scholar]
- 19. Bracko O, Cruz Hernández JC, Park L, Nishimura N, Schaffer CB. Causes and consequences of baseline cerebral blood flow reductions in Alzheimer’s disease. J Cereb Blood Flow Metab. 2021;41:1501-1516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Tallquist MD, French WJ, Soriano P. Additive effects of PDGF receptor beta signaling pathways in vascular smooth muscle cell development. PLoS Biol. 2003;1:E52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Winkler EA, Bell RD, Zlokovic BV. Pericyte-specific expression of PDGF beta receptor in mouse models with normal and deficient PDGF beta receptor signaling. Mol Neurodegener. 2010;5:32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. du Sert NP, Hurst V, Ahluwalia A, et al. The ARRIVE guidelines 2.0: updated guidelines for reporting animal research. J Cereb Blood Flow Metab. 2020;40:1769-1777. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Tcw J, Qian L, Pipalia NH, et al. Cholesterol and matrisome pathways dysregulated in astrocytes and microglia. Cell. 2022;185:2213-2233.e25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Nikolakopoulou AM, Zhao Z, Montagne A, Zlokovic BV. Regional early and progressive loss of brain pericytes but not vascular smooth muscle cells in adult mice with disrupted platelet-derived growth factor receptor-β signaling. PLoS One. 2017;12:e0176225. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Otsu N. A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern. 1979;9:62-66. [Google Scholar]
- 26. Rust R, Grönnert L, Gantner C, et al. Nogo—a targeted therapy promotes vascular repair and functional recovery following stroke. Proc Natl Acad Sci U S A. 2019;116:14270-14279. 10.1073/pnas.1905309116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Weber RZ, Buil BA, Rentsch NH, et al. Human iPSC-derived cell grafts promote functional recovery by molecular interaction with stroke-injured brain. bioRxiv 588020. 10.1101/2024.04.03.588020, 2024, preprint: not peer reviewed. [DOI]
- 28. Weber RZ, Achón Buil B, Rentsch NH, et al. A molecular brain atlas reveals cellular shifts during the repair phase of stroke. bioRxiv 608971. 10.1101/2024.08.21.608971, 2025, preprint: not peer reviewed. [DOI] [PMC free article] [PubMed]
- 29. Rust R, Weber RZ, Generali M, et al. Xeno-free induced pluripotent stem cell-derived neural progenitor cells for in vivo applications. J Transl Med. 2022;20:421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Weber RZ, Mulders G, Perron P, Tackenberg C, Rust R. Molecular and anatomical roadmap of stroke pathology in immunodeficient mice. bioRxiv 501836. 10.1101/2022.07.28.501836, 2022, preprint: not peer reviewed. [DOI] [PMC free article] [PubMed]
- 31. Rust R. Ischemic stroke-related gene expression profiles across species: a meta-analysis. J Inflamm (Lond). 2023;20:21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Robinson MD, McCarthy DJ, Smyth GK. edgeR: a bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26:139-140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Wu T, Hu E, Xu S, et al. clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. Innovation (Camb). 2021;2:100141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Smyth LCD, Highet B, Jansson D, et al. Characterisation of PDGF-BB: PDGFRβ signalling pathways in human brain pericytes: evidence of disruption in Alzheimer’s disease. Commun Biol. 2022;5:235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Shen J, Xu G, Zhu R, et al. PDGFR-β restores blood-brain barrier functions in a mouse model of focal cerebral ischemia. J Cereb Blood Flow Metab. 2019;39:1501-1515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Jansson D, Scotter EL, Rustenhoven J, et al. Interferon-γ blocks signalling through PDGFRβ in human brain pericytes. J Neuroinflammation. 2016;13:249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Ma Q, Zhao Z, Sagare AP, et al. Blood-brain barrier-associated pericytes internalize and clear aggregated amyloid-β42 by LRP1-dependent apolipoprotein E isoform-specific mechanism. Mol Neurodegener. 2018;13:57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Ding Y, Palecek SP, Shusta EV. iPSC-derived blood-brain barrier modeling reveals APOE isoform-dependent interactions with amyloid beta. Fluids Barriers CNS. 2024;21:79. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Oakley H, Cole SL, Logan S, et al. Intraneuronal β-amyloid aggregates, neurodegeneration, and neuron loss in transgenic mice with five familial Alzheimer’s disease mutations: potential factors in amyloid plaque formation. J Neurosci. 2006;26:10129-10140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Forner S, Kawauchi S, Balderrama-Gutierrez G, et al. Systematic phenotyping and characterization of the 5xFAD mouse model of Alzheimer’s disease. Sci Data. 2021;8:270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Weber RZ, Grönnert L, Mulders G, et al. Characterization of the blood brain barrier disruption in the photothrombotic stroke model. Front Physiol. 2020;11:586226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Nih LR, Gojgini S, Carmichael ST, Segura T. Dual-function injectable angiogenic biomaterial for the repair of brain tissue following stroke. Nat Mater. 2018;17:642-651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Shi H, Koronyo Y, Rentsendorj A, et al. Identification of early pericyte loss and vascular amyloidosis in Alzheimer’s disease retina. Acta Neuropathol. 2020;139:813-836. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Ding R, Hase Y, Ameen-Ali KE, et al. Loss of capillary pericytes and the blood–brain barrier in white matter in poststroke and vascular dementias and Alzheimer’s disease. Brain Pathol. 2020;30:1087-1101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Tachibana M, Yamazaki Y, Liu C-C, Bu G, Kanekiyo T. Pericyte implantation in the brain enhances cerebral blood flow and reduces amyloid-β pathology in amyloid model mice. Exp Neurol. 2018;300:13-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Girolamo F, de Trizio I, Errede M, et al. Neural crest cell-derived pericytes act as pro-angiogenic cells in human neocortex development and gliomas. Fluids Barriers CNS. 2021;18:14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Shi Z, Hu C, Zheng X, Sun C, Li Q. Feedback loop between hypoxia and energy metabolic reprogramming aggravates the radioresistance of cancer cells. Exp Hematol Oncol. 2024;13:55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Wu D, Huang R-T, Hamanaka RB, et al. HIF-1α is required for disturbed flow-induced metabolic reprogramming in human and porcine vascular endothelium. Elife. 2017;6:e25217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Li Y, Girard R, Srinath A, et al. Transcriptomic signatures of individual cell types in cerebral cavernous malformation. Cell Commun Signal. 2024;22:23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Heng JS, Rattner A, Stein-O’Brien GL, et al. Hypoxia tolerance in the Norrin-deficient retina and the chronically hypoxic brain studied at single-cell resolution. Proc Natl Acad Sci U S A. 2019;116:9103-9114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Szu JI, Obenaus A. Cerebrovascular phenotypes in mouse models of Alzheimer’s disease. J Cereb Blood Flow Metab. 2021;41:1821-1841. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data are available upon request. RNA-seq data will be made publicly available on NCBI GEO.




