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Endothelial IGFBP6 suppresses vascular inflammation and atherosclerosis

Abstract

Beyond dyslipidemia, inflammation contributes to the development of atherosclerosis. However, intrinsic factors that counteract vascular inflammation and atherosclerosis remain scarce. Here we identify insulin-like growth factor binding protein 6 (IGFBP6) as a homeostasis-associated molecule that restrains endothelial inflammation and atherosclerosis. IGFBP6 levels are significantly reduced in human atherosclerotic arteries and patient serum. Reduction of IGFBP6 in human endothelial cells by siRNA increases inflammatory molecule expression and monocyte adhesion. Conversely, pro-inflammatory effects mediated by disturbed flow (DF) and tumor necrosis factor (TNF) are reversed by IGFBP6 overexpression. Mechanistic investigations further reveal that IGFBP6 executes anti-inflammatory effects directly through the major vault protein (MVP)–c-Jun N-terminal kinase (JNK)/nuclear factor kappa B (NF-κB) signaling axis. Finally, IGFBP6-deficient mice show aggravated diet- and DF-induced atherosclerosis, whereas endothelial-cell-specific IGFBP6-overexpressing mice protect against atherosclerosis. Based on these findings, we propose that reduction of endothelial IGFBP6 is a predisposing factor in vascular inflammation and atherosclerosis, which can be therapeutically targeted.

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Fig. 1: IGFBP6 is decreased in human atherosclerotic plaques and regulated by blood flow.
Fig. 2: IGFBP6 deficiency increases atherosclerosis in mice receiving PCL surgery.
Fig. 3: EC-specific knockout of IGFBP6 aggravates atherosclerosis in mice.
Fig. 4: EC-specific overexpression of IGFBP6 ameliorates atherosclerosis in ApoE-/- mice.
Fig. 5: IGFBP6 regulates EC inflammation.
Fig. 6: IGFBP6 is a transcriptional target of KLF2.
Fig. 7: IGFBP6 interacts with MVP and suppresses endothelial inflammation via MVP-dependent inhibition of p65 and JNK phosphorylation.

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Data availability

The original data files of RNA sequencing generated in this study were deposited on the Gene Expression Omnibus (GSE265787). The public datasets used in this study include GSE41571 (stable plaques versus ruptured plaques), GSE163154 (intraplaque hemorrhage (IPH) versus non-IPH), GSE20739 (UF versus DF), GSE87534 (UF versus static), GSE1176531 (atorvastatin versus DMSO) and STARNET database (600 patients with CAD versus 250 healthy individuals) (http://starnet.mssm.edu/). Proteomic resources were deposited on ProteomeXchange (PXD052204).

Code availability

No custom-made code was used in this study.

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Acknowledgements

This study was supported by grants from the National Key R&D Program of China (grant no. 2021YFC2500500), the National Natural Science Foundation of China (grant nos. 82370444, 82070464 and 12411530127) and the Strategic Priority Research Program of the Chinese Academy of Sciences (grant no. XDB38010100). This work was also supported by the Program for Innovative Research Team of The First Affiliated Hospital of University of Science and Technology of China (CXGG02) and the Anhui Provincial Natural Science Foundation (grant no. 2208085J08). This work was supported by the Hong Kong Research Grants Council (T12-101/23-N, SRFS2021-4S04, 11104823). P.C.E. was supported by the British Heart Foundation (RG/19/10/34506). S.X. is a recipient of a Humboldt Research Fellowship from the Alexander von Humboldt Foundation, Germany. The authors are grateful to Prof. Li Zhu (Soochow University, Suzhou, China) for expert suggestions in study design and insightful discussion on shear stress experiments.

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Contributions

M.S., W.Z., S.X. and J.W. conceptualized and planned the experiments. M.S., W.Z., Hui Jiang, Y.Z., Zhaopeng Liao, Zhenghong Liu, M.X., S.J. and Lili Wu performed the experiments. Y.Y., Z.W., Z.Z., C.T. and Li Wang conducted experiments and software guidance. Hui Jiang supervised the clinical study and collected the clinical samples. Y.F., C.M., P.C.E., M.B., Hanjoong Jo, B.C.B., S.O., Y.H. and J.G. interpreted the data and revised the manuscript. M.S., S.X. and J.W. wrote and edited the final manuscript, with input and approval from all authors.

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Correspondence to Suowen Xu or Jianping Weng.

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Extended data

Extended Data Fig. 1 The gene expression values of IGFs and IGFBPs.

a, The mRNA expression counts of IGFs and IGFBPs in UF- and DF-treated HUVECs. (GEO accession No. GSE20739, n = 3). b, A heatmap showing the differentially expressed genes (DEGs) between the two groups. Upregulated genes are labelled in red and downregulated genes are shown in blue. c, The mRNA expression of IGFBP1-7 in HUVECs under static conditions (n = 3). Statistical analysis was performed by two-tailed Welch’s t test for a, by one-way ANOVA followed by the Tukey’s test for c.

Source data

Extended Data Fig. 2 Construction and genotype identification of IGFBP6 global knockout mice.

a, Identification of genotypes of Igfbp6-/- mice. b, The LDLR protein level in liver tissues of mice after PCSK9 injection as detected by Western blot. Liver tissues from male C57BL/6 J and Ldlr-/- mice were used as controls. c, Analysis of ALT, AST, TG, TC, HDL-C, and LDL-C levels in male WT and Igfbp6-/- mice (n = 13-15). Statistical analysis was performed by two-tailed Student’s t test, Mann‒Whitney U test and Welch’s t test for c.

Source data

Extended Data Fig. 3 Construction of EC-specific IGFBP6 knockout mice, genotype identification and serum biochemistry.

a, Schematic view of the generation of Igfbp6ECKO mice. b, Identification of genotypes of Igfbp6ECKO mice. c, The mRNA expression of Igfbps in the aortic intima of male Igfbp6ECKO mice and control mice (n = 5). d, Analysis of body weight, blood glucose, ALT, AST, TG, TC, HDL-C, and LDL-C levels (n = 7-11). Statistical analysis was performed by two-tailed Student’s t test and Mann‒Whitney U test for c, d, and by Welch’s t test for d (Male: LDL-C).

Source data

Extended Data Fig. 4 Validation and serum biochemistry of EC-specific IGFBP6 overexpression mice.

a, En face immunofluorescence staining IGFBP6 (red), VE-Cadherin (green), and DAPI (blue) in mouse aorta, showing increased IGFBP6 expression in the aortic endothelium of male AAV9-EC-Igfbp6 mice (n = 3). Scale bar: 50 μm. b, The mRNA expression of Igfbps in the aortic intima of male AAV9-EC-Igfbp6 mice and control mice (n = 5). c, Analysis of body weight, blood glucose, ALT, AST, TG, TC, HDL-C, and LDL-C levels in mouse serum (n = 10). Statistical analysis was performed by two-tailed Mann‒Whitney U test and by Student’s t test for b, c, and by Welch’s t test for c (ALT).

Source data

Extended Data Fig. 5 IGFBP6 suppresses inflammation in HAECs and RNA-sequencing of IGFBP6 overexpressed ECs indicates the anti-inflammatory effect of IGFBP6.

a and b, HAECs were transfected with control si-NC or si-IGFBP6 for 48 h and then treated with TNF-α for 6 h. The expression of IGFBP6, VCAM-1, ICAM-1 was determined by qRT-PCR (a, n = 3) and Western blot (b, n = 4). c and d, HAECs were transfected with Ad-NC or Ad-IGFBP6 for 24 h and then treated with TNF-α for 6 h. The expression of Flag-IGFBP6, VCAM-1, ICAM-1, SELE and CCL2 was determined by qRT-PCR (c) and Western blot (d) (n = 3). e and f, HAECs were treated as indicated and THP-1 monocyte adhesion assay was performed and the number of adherent monocytes were quantified (n = 3). Scale bar: 50 μm. g, HUVECs were transfected with Ad-NC or Ad-IGFBP6 for 24 h and then treated with TNF-α for 6 h. The treated cells were analyzed by transcriptome sequencing (n = 3). h, Bubble diagram of the KEGG pathway enrichment analysis of DEGs. i, Heatmap diagram showing the DEGs between the two groups. Upregulated genes are labelled in red and downregulated genes are shown in blue. Scale bar: 50 μm. Statistical analysis was performed by two-tailed paired t test for a (left panel), b, d, by two-way ANOVA (repeated measures) followed by the Bonferroni’s test for a (right panel), c, by Student’s t test for e, f.

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Extended Data Fig. 6 KLF4 up-regulates the expression of IGFBP6 and MVP depletion promotes inflammation in HUVECs.

a and b, HUVECs were treated with Ad-NC or Ad-KLF4 for 24 h, and the expression of KLF4, NOS3 and IGFBP6 was determined by qRT-PCR (a, n = 5), and ELISA (b, n = 3). c, HUVECs were transfected with si-NC or si-MVP for 48 h and then treated with TNF-α for 6 h. The expression of MVP, ICAM-1and SELE was determined by qRT-PCR (n = 3). d, HUVECs were treated as indicated and THP-1 monocyte adhesion assay was performed and the number of adherent monocytes were quantified (n = 3). Scale bar: 50 μm. Statistical analysis was performed by two-tailed paired t test for a, by Student’s t test for b, by two-way ANOVA (repeated measures) followed by the Bonferroni’s test for c, and by two-way ANOVA followed by the Tukey’s test for d.

Source data

Extended Data Fig. 7 The anti-inflammatory effect of IGFBP6 depends on the binding site of IGFBP6 to MVP.

a, In HUVECs, Co-IP experiments were performed on MVP and ASK1 (n = 3). b, HUVECs were treated with adenovirus to overexpress IGFBP6. After 42 h of treatment, TNF-α was added for 6 h. After that, flag-tagged IGFBP6 was pulled down and ASK1 (n = 3) was detected. c, Representative Co-IP and Western blot assays revealed dimerization of ASK1 in HEK293T cells transfected with indicated plasmid vectors (n = 3). d, Molecular docking was performed using Alphafold3 to predict the binding sites of IGFBP6 and MVP. e, Representative Co-IP and Western blot assays showing the binding domains of IGFBP6 to MVP in HEK293T cells (n = 3). f, HUVECs were treated with IGFBP6 and mutated IGFBP6 adenovirus for 42 h, followed by TNF-α for 6 h. The expression levels of Flag, VCAM-1, ICAM-1 were detected by Western blot (n = 3).

Source data

Extended Data Fig. 8 Secreted IGFBP6 and MVP do not affect inflammation in HUVECs.

a and b, HUVECs were treated with adenoviruses (Ad-MVP and Ad-IGFBP6) for 7 days, during which the supernatant was continuously collected. Ultrafiltration tubes were used to concentrate the protein in the supernatant, and flag (a, n = 3) or HA (b, n = 3) antibodies were used for Co-IP, respectively, and finally verified by Western blot. c, HUVECs were treated with different concentrations of IGFBP6 recombinant protein for 42 h, and then treated with TNF-α for 6 h, and indicated proteins were detected by Western blot (n = 3). d, HUVECs were treated with different concentrations of IGFBP6 recombinant protein for 3 h, and then treated with TNF-α for 10 mins, and indicated proteins were detected by Western blot (n = 3). e, 80% of confluent HUVECs were treated with Ad-NC or Ad-IGFBP6 in the presence of TNF. After that, whole cell lysate was collected for Western blot (left 4 lanes, control). In parallel experiments, the treated cells were washed with PBS and new complete medium was supplemented. Then, conditioned media were collected to treat HUVECs before lysate was collected for Western blot (right 4 lanes) (n = 3). f, HUVECs were treated with different concentrations of MVP recombinant protein for 3 h, and then treated with TNF-α for 10 mins, and indicated proteins were detected by Western blot (n = 3).

Source data

Extended Data Fig. 9 Graphical Abstract.

IGFBP6 serves as a novel endothelial homeostasis-associated molecule which is mechanoresponsive and confers anti-inflammation and atheroprotection via binding with intracellular MVP and suppresses JNK and p65 phosphorylation.

Source data

Extended Data Fig. 10 Immunostaining of murine aortic roots and human coronary arteries with isotype control IgG.

a and b, Representative images of immunofluorescence staining with rat IgG, rabbit IgG or mouse IgG for mouse and human plaque tissues (n = 3). Scale bar = 50 μm.

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Source Data Extended Data Figs. 1–10

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Su, M., Zhao, W., Jiang, H. et al. Endothelial IGFBP6 suppresses vascular inflammation and atherosclerosis. Nat Cardiovasc Res 4, 145–162 (2025). https://doi.org/10.1038/s44161-024-00591-0

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