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Cell Death & Disease logoLink to Cell Death & Disease
. 2021 Nov 6;12(11):1056. doi: 10.1038/s41419-021-04117-5

Functional delivery of lncRNA TUG1 by endothelial progenitor cells derived extracellular vesicles confers anti-inflammatory macrophage polarization in sepsis via impairing miR-9-5p-targeted SIRT1 inhibition

Wentao Ma 1,#, Weihong Zhang 2,#, Bing Cui 3, Jing Gao 1, Qiuhong Liu 1, Mengying Yao 1,, Hanbing Ning 4,, Lihua Xing 1,
PMCID: PMC8572288  PMID: 34743197

Abstract

The delivery of biomolecules by extracellular vesicles (EVs) derived from endothelial progenitor cells (EPCs) has been proven to ameliorate sepsis, yet the therapeutic mechanism remains to be elucidated. Taurine upregulated gene 1 (TUG1) is a long noncoding RNA (lncRNA) that is downregulated in sepsis. The current study was designed to explore the role of EPCs derived EVs transmitting TUG1 in macrophage polarization and macrophage-mediated inflammation in a cecal ligation and puncture (CLP)-induced sepsis mouse model. TUG1 was underexpressed in CLP-induced sepsis, and its reexpression induced anti-inflammatory macrophage polarization and suppressed macrophage-medicated inflammatory injury to the pulmonary vascular endothelium. EPCs derived EVs transmitted TUG1 to promote M2 macrophage polarization. Luciferase, RIP, and RNA pull-down assays showed that TUG1 could competitively bind to microRNA-9-5p (miR-9-5p) to upregulate the expression of sirtuin 1 (SIRT1). Furthermore, EPCs derived EVs transmitted TUG1 to promote M2 macrophage polarization through the impairment of miR-9-5p-dependent SIRT1 inhibition. Finally, EPCs derived EVs carrying TUG1 were verified to ameliorate sepsis-induced organ damage in the murine model. In summary, EPCs derived EVs transmit TUG1 to attenuate sepsis via macrophage M2 polarization. This study also highlights the proinflammatory mechanism associated with miR-9-5p-mediated inhibition of SIRT1, which contributes to a more comprehensive understanding of the pathogenesis of sepsis.

Subject terms: Cell biology, Diseases

Introduction

Sepsis is a dysfunctional systemic inflammatory disorder initiated by microbial infection, which frequently results in organ failure and mortality [1]. The associated high mortality and need for expensive treatment bring urgency to the search for more effective sepsis therapies [2, 3]. Interestingly, profiling of host-derived inflammatory biomarkers may be of great value to distinguish etiologically different types of infections [4]. Besides, macrophage activation presents as a vital immune dysfunction in organs remote to a local injury, which ultimately manifests in systemic complications [5]. Therefore, we contend that molecular investigations focused on immune dysfunction should aid in the development of protective therapies against sepsis.

Recent research has demonstrated the functionality of extracellular vesicles (EVs) as key carriers of novel diagnostic molecules or preventative targets for septic patients, and therefore can be used for the development of individualized therapies [6]. EVs derived from the endothelial progenitor cells (EPCs) intensify the protective effects against sepsis-induced microvascular dysfunction [7]. The term EV encompasses exosomes, microvesicles, and other vesicles that can convey cargos of lipids, peptides, RNAs, and sugars essential for various cellular processes in inflammatory conditions including the immune response, and coagulopathy [7, 8]. Noncoding RNAs (ncRNAs) are a broad category of long noncoding RNA (lncRNAs) and microRNAs (miRs) that can be packaged in EVs and thus serve as specific biomarkers for the degree of acute kidney injury, especially sepsis [9, 10]. On the basis of a whole blood transcriptomic investigation, lncRNA taurine upregulated gene 1 (TUG1) has been identified as one of the five lncRNAs most relevant to sepsis [11]. Several researchers have demonstrated the downregulation of TUG1 in sepsis and its potential as an inhibitor of sepsis-induced inflammation and acute kidney injury [12]. In view of the aforementioned literature, we aimed at substantiating whether EVs derived from EPCs can transmit lncRNA TUG1 to protect against sepsis-induced inflammatory damage to the pulmonary vascular endothelium. According to the proposed mechanism of competing endogenous RNA (ceRNA), transcripts have miR binding sites that compete for posttranscriptional regulation [13]. A recent study proposed that the ceRNA regulatory network could be used to investigate mechanisms underlying the pathophysiology of sepsis [14]. Interestingly, the ceRNA network of TUG1 and microRNA-9-5p (miR-9-5p) has been identified to be involved in the progression of human osteosarcoma [15]. As predicted by the Starbase website, miR-9-5p was identified to be a miR bound by TUG1, while sirtuin 1 (SIRT1) was regarded as a target of miR-9-5p. SIRT1, which is a protein deacetylase of the NAD(+)-dependent class III, is commonly implicated as a key immune mediator through its effects on the expression of various proinflammatory cytokines such as TNF-α, while also affecting the activation of macrophages [16, 17]. Strikingly, downregulation of SIRT1 by miR-9 intensified lipopolysaccharide (LPS)-induced inflammation [18]. Hence, we explored whether miR-9-5p and SIRT1 participate in the protective role of EVs shuttled TUG1 in sepsis.

Materials and methods

Animals and cell culture

Male C57BL/6 mice were purchased from the Hunan SJA Laboratory Animal Co., Ltd (Hunan, China) and acclimatized in a specific-pathogen-free environment at a temperature of 20–22 °C with 40–60% relative humidity and free access to water and food, under a 12 h light/dark cycles for at least 1 week before experimentation. These mice (aged 6–8 weeks, weighing about 20–25 g) were selected to establish the cecal ligation and puncture (CLP)-induced septic mouse model. The experiments involving mice were performed with approval of the Animal Ethics Committee of the First Affiliated Hospital of Zhengzhou University. Adequate measures were taken to minimize the number of included animals in the experiments and their suffering.

The mouse-derived macrophage cell line RAW264.7 was purchased from the Cell Resource Center, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (Shanghai, China). The RAW264.7 cells were cultured using Dulbecco’s modified Eagle’s Medium/F12 (Wisent Biotechnology, Nanjing, China) supplemented with 10% fetal bovine serum (Coring, Australia), 100 IU/mL penicillin and 100 μg/mL streptomycin (Sigma-Aldrich, Munich, Germany) under saturated humidity at 37 °C and 5% CO2. RAW264.7 cells were exposed to 500 ng/mL LPS. The complementary DNA (cDNA) sequence of TUG1 was amplified using PfuUltra II Fusion HS DNA polymerase (Stratagene, Agilent Technologies, Santa Clara, CA), and then inserted into the pcDNA3.1 vector (Invitrogen, Carlsbad, CA) to generate the overexpression vector pcDNA-TUG1. The siRNA (si)-negative control (NC), si-SIRT1 (50 nM), mimic control (50 nM), miR-9-5p mimic (50 nM), inhibitor control (150 nM), miR-9-5p inhibitor (150 nM), and miR-204 mimic (50 nM) were provided by Ribobio (Guangzhou, China). EPCs were transfected with pcDNA-NC and pcDNA-TUG1 using Lipofectamine 3000 (Invitrogen, Carlsbad, CA).

Macrophages were transfected with the corresponding mimic NC, miR-9-5p mimic, pcDNA-NC, pcDNA-TUG1, si-NC, si-SIRT1, and miR-204 mimic (50 nM) according to the provided kit instructions.

Results

Overexpression of TUG1 alleviates symptoms in septic mice

As shown in Table 1, several lncRNAs associated with the vascular pathology of sepsis have been identified [19]. Among those lncRNAs, TUG1 is reported to principally impair miR-34b-5p-mediated downregulation of GAB1, thereby restraining sepsis-triggered acute kidney injury [12]. To further investigate the regulatory role of TUG1 in sepsis, CLP-induced septic mouse models were established, and the Ad-TUG1 or Ad-NC vector was injected into the mice via the tail vein 1 week before modeling, with 12 mice per group (Fig. 1A). We found that the expression of TUG1 was decreased in the septic mice receiving CLP. Besides, mice injected with the Ad-TUG1 showed increased TUG1 expression (Fig. 1B). After the 7-day observation, the survival rate of sham-operated mice was 100%, while the survival rate of CLP-operated mice was lower as compared to the sham-operated mice. The survival rate of CLP-operated mice injected with Ad-TUG1 was higher than those injected with Ad-NC (Fig. 1C). Meanwhile, the pathological changes revealed aggravated pulmonary edema (Fig. 1D), and increased pulmonary and renal vascular leakage in the mice receiving CLP surgery (Fig. 1E), accompanied with elevated levels of creatinine, BUN, NGAL, AST, ALT (Fig. 1G), IL-6, TNF-α, and MCP-1 (Fig. 1F). However, pretreatment with Ad-TUG1 resulted in the suppression of the aforementioned disturbances and elevated expression of several sepsis indicators in the CLP-operated mice (Fig. 1D–G). We also found that Ad-TUG1 treatment resulted in a reduction of visible tubule vacuoles in the kidney outer medulla, brush border loss and diminished inflammatory cell infiltration, and suppressed vacuolation in the liver tissues of the CLP-treated mice (Fig. 1H).

Table 1.

LncRNAs related to sepsis.

LncRNAs Expression in sepsis Target gene Model
MALAT1 Up miR-125b Mice
NEAT1 Up miR-204 Humans in vitro
NEAT1 Up Humans
NEAT1 Up Mice
NEAT1 Up Humans
Lnc-ANRIL Up Humans
Lnc-ANRIL/miR-125a axis Up Humans
HOTAIR Up Rats in vitro
HOTAIR Rats
LncRNA H19 Down Humans in vitro
LncRNA ITSN1-2 Up Humans
HULC Up Mice in vitro
UCA1
TUG1 Down Humans in vitro
TapSAKI Up Rats in vitro
HOTAIR Up Mice
MALAT1 Up Mice in vitro
MALAT1 and EZH2 Up Rats in vitro

Lnc/LncRNA long noncoding RNA, miR microRNA, MALAT1 metastasis-associated lung adenocarcinoma transcript 1, NEAT1 nuclear paraspeckle assembly transcript 1, ANRIL antisense noncoding RNA in the INK4 locus, HOTAIR HOX transcript antisense RNA, ITSN1-2 RNA intersectin-2, HULC highly upregulated in liver cancer, UCA1 urothelial carcinoma-associated 1, TUG1 taurine upregulated gene 1, TapSAKI transcript predicting survival in AKI, EZH2 enhancer of zeste homolog 2.

Fig. 1. Upregulated TUG1 suppresses inflammation in the pulmonary vascular endothelial cells and alleviates sepsis in mice.

Fig. 1

A Flow chart of septic mice treated with Ad-TUG1 vector. B The expression of TUG1 in the lung tissues of septic mice determined by RT-qPCR. C The survival rate of mice within 7 days after treatment. D Pulmonary edema in septic mice assessed by the wet/dry ratio. E The measurement of blood vessel leakage in lung and liver of septic mice using Evans blue dye. F Serum levels of IL-6, TNF-α, and MCP-1 were determined by ELISA. G Determination of creatinine, BUN, NGAL, AST, and ALT levels in mouse serum. H The quantitative analysis of tissue damage scores in lung, liver, and kidney tissues. Measurement data were expressed as mean ± standard deviation. One-way ANOVA was adopted for comparison between multiple groups followed by Tukey’s post hoc test. Kaplan–Meier analyses were performed to calculate the survival rate. Log-rank test was conducted for univariate survival analysis. *p < 0.05 vs. sham-operated mice; #p < 0.05 vs. CLP-operated mice treated with Ad-NC (n = 12).

TUG1 contributes to the polarization of M1 to M2 macrophages

Macrophage polarization is a key process in the pathogenesis of sepsis [20]. Therefore, the role of TUG1 in macrophages was further investigated. Overexpression of TUG1 increased the ratio of macrophages CD68+ and F4/80+/total macrophages, elevated ratio of M1 macrophage iNOS and TNF-α/total macrophages, while reduced ratio of M2 macrophage CD206/total macrophages in the septic mice (Fig. 2A; Supplementary Fig. 1). Subsequently, macrophages were induced with LPS in vitro. The results presented that 24 h of LPS stimulation led to increased mRNA expression of the M1 markers iNOS and TNF-α (Fig. 2B), as well as elevated M2 markers IL-10 and Arg-1 (Fig. 2C), level of TNF-α in the macrophages (Fig. 2D), and expression of iNOS in the medium (Fig. 2E). In contrast, treatment with Ad-TUG1 reduced the expression of M1 markers iNOS and TNF-α, but increased the expression of M2 markers IL-10 and Arg-1 in LPS-exposed macrophages and the corresponding medium (Fig. 2D, E).

Fig. 2. TUG1 induces macrophage polarization into an anti-inflammatory M2 state.

Fig. 2

A The number of CD68+ and F4/80+ macrophages assessed by flow cytometry and percentages of M1 markers iNOS and TNF-α as well as M2 marker CD206 in a single-cell suspensions of whole lung tissue from the mice (n = 12). B The mRNA expression of M1 markers iNOS and TNF-α in macrophages treated with LPS determined by RT-qPCR. C RT-qPCR for determination of mRNA expression of M2 markers IL-10 and Arg-1 in macrophages treated with LPS. D The contents of IL-10 and TNF-α protein in medium examined by ELISA. E The protein expression of M1 markers iNOS and Arg-1 in macrophages treated with LPS measured by western blot analysis. Measurement data were expressed as mean ± standard deviation. One-way ANOVA was adopted for comparison between multiple groups followed by the Tukey’s post hoc test. Cell experiments were conducted three times independently. *p < 0.05 vs. control macrophages; #p < 0.05 vs. LPS-induced macrophages treated with pcDNA.

EPCs derived EVs carrying TUG1 into macrophages promotes macrophage M2 polarization

It has been reported that EPCs derived EVs can prevent microvascular dysfunction and thus potentially prevent sepsis [7, 21], yet the underlying mechanism remains undefined. EPCs were isolated and purified from the mouse umbilical cord blood samples (Supplementary Fig. 2), and EPCs derived EVs were isolated from the cell supernatant. We observed that the isolated EPCs derived EVs were double-layer membrane vesicles with a concentration of about 1.6 × 1011 particles/mL; the diameter of 94% of the isolated particles ranged from 30 to 120 nm (Fig. 3A, B). Western blot analysis results confirmed the presence of ALIX, TSG101, and CD9 in the EPCs derived EVs, and presented with negative staining for non-EVs markers such as GRP94 and vital serum contaminants such as albumin in the supernatant (Fig. 3C).

Fig. 3. TUG1 in EPCs can be transmitted to macrophages through EVs and then promotes macrophage M2 polarization.

Fig. 3

A Particle diameter of EPC-derived EVs (bar = 100 nm). B The diameter distribution and concentration of EVs detected by NTA. C Western blot analysis for determination of protein expression of ALIX, TSG101, CD9, GRP94, and albumin. D Uptake of EPC-derived EVs labeled with fluorescent PKH67 by macrophages observed by immunofluorescence microscopy. The PKH67-labeled EVs were red-colored and the DAPI-stained nuclei were blue (scale bar = 25 μm). E The level of TUG1 measured by RT-qPCR after RNase treatment alone. F The expression of TUG1 in EPCs derived EVs and EPC medium determined by RT-qPCR. G Uptake of EPC-derived EVs labeled with Cy3-TUG1 by macrophages observed by immunofluorescence microscopy. The Cy3-TUG1 labeled EVs were red, the DAPI-stained nuclei were blue, and phalloidin labeled macrophages were green (scale bar = 25 μm). H The expression of TUG1 in macrophages cocultured with EPCs derived EVs determined by RT-qPCR. I The expression of TUG1 in EPCs and EPCs derived EVs after pcDNA TUGq-transfected EPCs cocultured with macrophages assessed by RT-qPCR. J RT-qPCR for measurement of mRNA expression of iNOS, TNF-α, IL-10, and Arg-1 in macrophages cocultured with EPCs derived EVs. K The contents of IL-10 and TNF-α protein in the cell culture medium evaluated by ELISA. L The protein expression of iNOS and Arg-1 in macrophages cocultured with EPCs derived EVs measured by western blot analysis. Measurement data were expressed as mean ± standard deviation. Data between two groups were compared using unpaired t-test. One-way ANOVA was adopted for comparison between multiple groups followed by Tukey’s post hoc test. Cell experiments were conducted three times independently. *p < 0.05 vs. cells, control, EPC-CM, EVs-pcDNA, or LPS group.

After 12 h of culture of PKH67-labeled EPCs derived EVs with the macrophages, the macrophages were labeled with PKH67 and photographed (Fig. 3D), showing that EPCs derived EVs entered macrophages and distributed around the nucleus. The website (http://www.EVsrbase.org) showed that TUG1 existed in the circulating EVs, as well as in a variety of living cells. After RNase treatment alone, the level of TUG1 in the medium remained unchanged, whereas the simultaneous treatment with RNase and Triton X-100 led to decreased level of TUG1, indicating that TUG1 was enveloped by the membrane and not directly released (Fig. 3E). In addition, the expression of TUG1 in the EPCs derived EVs was equivalent to that in the EPC medium, but after removal of EVs from the medium, TUG1 was almost undetectable (Fig. 3F), suggesting that EVs were the primary carriers of TUG1. EPCs were transfected with red fluorescent Cy3-labeled TUG1. After 48 h, the cell supernatant was collected and ultracentrifuged to obtain EVs, which were then cocultured with macrophages for 12 h. The images displayed that Cy3-labeled TUG1 was localized in the cytoplasm of macrophages (Fig. 3G).

RT-qPCR suggested that, compared with the macrophages treated with medium alone (EPC-CM group), the expression of TUG1 was elevated in macrophages after coculture with EPCs derived EVs (EPC EVs group). However, no significant difference was evident in the expression of TUG1 in macrophages cultured in EVs depleted EPC medium (EPC–EVs del group) (Fig. 3H). The preceding results demonstrated that TUG1 in EPCs could be transmitted to the macrophages by EVs. Besides, the results revealed that TUG1 expression was notably increased in the transfected EPCs and their derived EVs (Fig. 3I). Macrophages were cocultured with EPCs and stimulated with LPS. The results showed that treatment with EPCs derived EVs increased TUG1 expression in LPS-exposed macrophages and the expression of IL-10 and Arg-1, but diminished iNOS and TNF-α expression. The increase in the expression of M2 markers and reduction in expression of M1 markers were of greater magnitude in the LPS-exposed macrophages cocultured with the EPCs overexpressing TUG1. However, the coculture of macrophages with EPC–EVs del induced no significant change in those markers (Fig. 3I–L).

TUG1 upregulates the expression of SIRT1 by binding to miR-9-5p

To identify the downstream regulatory mechanism of TUG1 in sepsis, Starbase website was adopted, which consistently predicted the complementary binding sites between TUG1 and miR-9-5p (Fig. 4A). The binding sites were mutated, and dual-luciferase reporter gene assay, RIP, and RNA pull-down experiments were utilized to identify TUG1 as a ceRNA of miR-9-5p. The dual-luciferase reporter gene assay showed that overexpression of miR-9-5p inhibited the luciferase activity of TUG1-WT but did not affect that of TUG1-MUT (Fig. 4B). The results of RIP displayed that the TUG1 expression was abundantly present in the Ago2 immunoprecipitated complex in the control group, while expression in the Ago2 complex purified from cells treated with miR-9-5p inhibitor was reduced (Fig. 4C), indicating that TUG1 may indeed exist in the miR-9-5p RISC complex. Results of RNA pull-down assay revealed enrichment of miR-9-5p in the TUG1 pull-down pellet (Fig. 4D), which suggested that miR-9-5p could recognize the TUG1 sequence. miR-9-5p expression in the macrophages transfected with pcDNA-TUG1 was reduced (Fig. 4E). The tissues from septic mice revealed higher miR-9-5p levels than those from the sham-operated mice and the expression of TUG1 in the lung tissues of septic mice was negatively correlated with miR-9-5p (Fig. 4F). Altogether, TUG1 could competitively bind to miR-9-5p to regulate its expression. Subsequently, we explored whether TUG1 could regulate the target gene of miR-9-5p by functioning as ceRNA. Through the Starbase website, the binding sites were predicted between miR-9-5p and SIRT1, as reported in previous work [22, 23]. Hence, we speculated that miR-9-5p interacted with SIRT1 to affect sepsis. We designed WT-SIRT1 and MUT-SIRT1 sequences and measured the luciferase activity to evaluate the binding ability (Fig. 4G). The results of dual-luciferase reporter gene assay showed that the luciferase activity of WT-SIRT1 but not MUT-SIRT1 was lowered by miR-9-5p mimic (Fig. 4H). In addition, the SIRT1 level was reduced in macrophages transfected with the miR-9-5p mimic but increased in macrophages transfected with the miR-9-5p inhibitor (Fig. 4I). Moreover, SIRT1 levels in the lung tissues of septic mice were reduced, and the miR-9-5p level was negatively correlated with the SIRT1 expression (Fig. 4J). To exclude the possibility of effects caused by other miRs, we adopted RT-qPCR and western blot analysis to detect the expression of miR-204 in LPS-induced macrophages, which revealed that overexpression of miR-204 increased the expression of miR-204 but had no significant effect on the expression of SIRT1 in macrophages (Supplementary Fig. 3A, B). The above results indicated that the expression of SIRT1 was specifically regulated by miR-9-5p among the downstream miRNAs regulated by TUG1. Western blot analysis results demonstrated that protein expression of SIRT1 in mice was reduced after CLP treatment, but this effect could be reversed by injection of Ad-TUG1 (Fig. 4K). After pcDNA-TUG1 was transfected into the macrophages, dual-luciferase reporter gene assay verified enhanced binding of miR-9-5p to SIRT1 (Fig. 4L). RT-qPCR results further revealed that overexpression of TUG1 decreased miR-9-5p expression and increased SIRT1 expression, while the miR-9-5p mimic treatment reduced the SIRT1 expression in the presence of TUG1 (Fig. 4M). Subsequently, the protein levels of SIRT2, SIRT3, and SIRT6 were determined using western blot analysis, which demonstrated that elevation of TUG1 brought about no difference in SIRT2, SIRT3, and SIRT6 levels (Supplementary Fig. 4A, B).

Fig. 4. TUG1 upregulates the expression of SIRT1 by functioning as a ceRNA of miR-9-5p.

Fig. 4

A Complementary binding sites and mutation sites between TUG1 and miR-9-5p predicted on Starbase website (http://starbase.sysu.edu.cn/). B The luciferase activity of TUG1-WT and MUT analyzed by dual-luciferase reporter gene assay. C Enrichment of TUG1 and miR-9-5p by anti-Ago2 or anti-IgG analyzed by RIP assay. D TUG1 pull-down pellet containing a large amount of miR-9-5p examined by RNA pull-down assay. E The level of miR-9-5p in macrophages transfected with pcDNA-TUG1 or pcDNA-NC determined by RT-qPCR. F The relative expression of miR-9-5p in sham- or CLP-operated mice evaluated by RT-qPCR (left), and Pearson’s correlation analysis of the levels of TUG1 and miR-9-5p in mouse lung tissues (right, n = 12). G SIRT1 as a downstream target of miR-9-5p predicted on Starbase, showing the putative SIRT1 binding site of miR-9-5p (SIRT1-WT) and the designed mutant sequence (SIRT1-MUT). H The luciferase activity examined by the dual-luciferase reporter gene 48 h after cotransfection with miR-9-5p mimics and SIRT1-WT or SIRT1-MUT. I The protein expression of SIRT1 in in macrophages transfected with miR-9-5p mimic, miR-9-5p inhibitor, or their NCs determined by western blot analysis. J The relative expression of SIRT1 in sham- or CLP-operated mice assessed by RT-qPCR (left), and the Pearson’s correlation analysis of the levels of SIRT1 and miR-9-5p in the mouse lung tissues (right, n = 12). K Western blot analysis for determination of protein expression of SIRT1 in mouse lung tissues. L The binding of miR-9-5p and SIRT1 after pcDNA-TUG1 treatment identified by dual-luciferase reporter gene assay. M TUG1, miR-9-5p, and SIRT1 expression after treatment with pcDNA-TUG1 and miR-9-5p mimic were determined by RT-qPCR. Measurement data were expressed as mean ± standard deviation. Data between two groups were compared using unpaired t-test. One-way ANOVA was adopted for comparison between multiple groups followed by Tukey’s post hoc test. Cell experiments were conducted three times independently. *p < 0.05 vs. mimic NC, IgG, Bio-NC-probe, pcDNA, or sham group; #p < 0.05 vs. anti-NC, inhibitor-NC, CLP + Ad-NC, or pcDNA-TUG1 + mimic NC group.

EPCs derived EVs containing TUG1 upregulates SIRT1 expression by binding to miR-9-5p to promote macrophages M2 polarization

Macrophages were transfected with pcDNA-TUG1 or miR-9-5p mimic or their NCs, and then treated with LPS. After LPS stimulation for 24 h, the expression of miR-9-5p and SIRT1 in the macrophages was determined by RT-qPCR and western blot analysis. The results demonstrated that miR-9-5p mimic increased miR-9-5p expression and decreased SIRT1 expression, while upregulation of TUG1 reduced miR-9-5p expression and elevated the SIRT1 expression. TUG1 could restore the expression of SIRT1 in the presence of miR-9-5p (Fig. 5A, B). The mRNA expression of iNOS and TNF-α in the macrophages and the protein expression of TNF-α in the medium and that of iNOS in macrophages were increased, while the expression of IL-10 and Arg-1 was reduced by the miR-9-5p mimic, the effect of which was counteracted in response to TUG1 overexpression (Fig. 5C–F). These results showed that TUG1 impaired miR-9-5p-dependent inhibition of SIRT1 to promote the polarization of macrophages to the anti-inflammatory M2 state. Macrophages transfected with miR-9-5p mimic or its NC or si-SIRT1 were cocultured with EPC-derived EVs. The results revealed that treatment with miR-9-5p mimic elevated miR-9-5p expression, and reduced levels of SIRT1 in the macrophages (Fig. 5G, H). The mimic treatment also resulted in increased mRNA expression of iNOS and TNF-α (Fig. 5I), upregulated protein expression of TNF-α in the medium and iNOS in macrophages (Fig. 5J, K), and diminished expression of IL-10 and Arg-1 (Fig. 5I–K). Compared with the EVs + mimic NC + si-SIRT1 group, the EVs + miR-9-5p mimic + si-SIRT1 group showed unchanged expression of SIRT1, TNF-α, iNOS, IL-10, and Arg-1; compared with the LPS + EVs + miR-9-5p mimic + si-NC group, the LPS + EVs + miR-9-5p mimic + si-SIRT1 group showed increased TNF-αand iNOS expression but decreased IL-10 and Arg-1 (Fig. 5G–K). This showed that when the SIRT1 gene was silenced, miR-9-5p could not affect the polarization of macrophages due to the lack of its target genes. The results indicated that these effects were dependent on the presence of SIRT1.

Fig. 5. EPC-derived EVs carrying TUG1 stimulates macrophages M2 polarization by upregulating SIRT1 expression through inhibition of miR-9-5p.

Fig. 5

A The expression of miR-9-5p and SIRT1 in macrophages transfected with pcDNA-TUG1 or miR-9-5p mimic or their NCs determined by RT-qPCR. B Western blot analysis for determination of protein expression of SIRT1 in macrophages transfected with pcDNA-TUG1 or miR-9-5p mimic or their NCs. C RT-qPCR for measurement of mRNA expression of iNOS and TNF-α in macrophages transfected with pcDNA-TUG1 or miR-9-5p mimic or their NCs D RT-qPCR for measurement of the mRNA expression of IL-10 and Arg-1 in macrophages transfected with pcDNA-TUG1 or miR-9-5p mimic or their NCs. E IL-10 and TNF-α contents in the medium detected by ELISA. F The protein expression of iNOS and Arg-1 in macrophages transfected with pcDNA-TUG1 or miR-9-5p mimic or their NCs measured by western blot analysis. G RT-qPCR for determination of mRNA expressions of miR-9-5p and SIRT1 in macrophages cocultured with EPCs derived EVs measured by. H The protein expression of SIRT1 in macrophages cocultured with EPCs derived EVs examined by western blot analysis. I Determination of the mRNA expression of iNOS, TNF-α, IL-10, and Arg-1 in macrophages cocultured with EPCs derived EVs by RT-qPCR. J The levels of IL-10 and iNOS in the medium assessed by ELISA. K Measurement of the protein expression of iNOS and Arg-1 in macrophages cocultured with EPCs derived EVs by western blot analysis. Measurement data were expressed as mean ± standard deviation. One-way ANOVA was adopted for comparison between multiple groups followed by Tukey’s post hoc test. Cell experiments were conducted three times independently. *p < 0.05 vs. LPS group; #p < 0.05 vs. LPS + EVs + mimc-NC or inhibitor-NC or LPS + TUG1 + mimic NC group.

EPC-derived EVs harboring TUG1 accelerates lung macrophage M2 polarization

The impact of TUG1/miR-9-5p/SIRT1 on macrophages was further verified in the CLP-induced septic mice. Dil (red) was applied to prelabel the EVs (Fig. 6A). EPC-derived EVs or PBS were injected intravenously into mice 4 h after CLP surgery. Six hours after injection of Dil-labeled EPC-derived EVs, accumulation of F4/80 (green)-labeled macrophages was observed in the lung epithelial cells of CLP-operated mice (Fig. 6B). RT-qPCR revealed that TUG1 and SIRT1 levels were increased but miR-9-5p expression was decreased in the lung tissues of the CLP-induced septic mice injected with EPCs derived EVs, and the impacts were increased by EVs from EPCs treated with Ad-TUG1 (Fig. 6C). In addition, EPC-derived EVs effectively led to a reduced number of macrophages (CD68+ and F4/80+), reduced iNOS, and TNF-α expression, and increased CD206 signal in the lung tissues of CLP-induced septic mice; more significant changes were detected when the mice injected with EVs from EPCs overexpressing TUG1 (Fig. 6D).

Fig. 6. EPC EVs encapsuled TUG1 promotes macrophage M2 polarization in the murine model.

Fig. 6

A Flow chart of injection of EPC-derived EVs or PBS in CLP-stimulated septic mice. B Localization of Dil staining (red) prelabeled EVs and F4/80-labeled macrophages (green) in lung tissues (scale bar = 25 μm). C The expression of TUG1, miR-9-5p, and SIRT1 in the lung tissues of CLP-induced septic mice injected with EPC-derived EVs determined by RT-qPCR (n = 12). D The number of macrophages CD68+ and F4/80+ evaluated by flow cytometry and percentages of M1 markers iNOS and TNF-α as well as M2 marker CD206 in a single-cell suspension of whole lung tissues from the mice (n = 12). Measurement data were expressed as mean ± standard deviation. One-way ANOVA was adopted to analyze comparison between multiple groups with Tukey’s post hoc test. One-way ANOVA was adopted for comparison between multiple groups followed by Tukey’s post hoc test. *p < 0.05 vs. CLP + PBS group; #p < 0.05 vs. CLP + EVs + Ad-NC group.

Protective effect of EPCs–EVs encapsuled TUG1 against sepsis-induced organ damage and in murine model

The effect of EPC-derived EVs carrying TUG1 on multiple organ damage in sepsis was further investigated in vivo. Injection of EPC-derived EVs notably elevated the 7-day survival rate of CLP-induced septic mice, while injection of EPC-derived EVs carrying upregulated TUG1 contributed to a higher survival rate (Fig. 7A). ELISA detection of cytokines and chemokines in the mouse plasma suggested that treatment with EPC-derived EVs reduced the elevation of creatinine, BUN, NGAL, AST, and ALT levels (Fig. 7B) as well as IL-6, TNF-α, and MCP-1 contents (Fig. 7C) and diminished pulmonary edema (Fig. 7D) as well as pulmonary and renal vascular leakage (Fig. 7E) in the CLP-induced septic mice. Hence, the kidney, liver, and lung dysfunction in the CLP-induced septic mice was alleviated by EPC-derived EVs. Furthermore, the injection of EPC-derived EVs with a high expression of TUG1 exerted protective effects against kidney, liver, and lung dysfunction (Fig. 7B–E). Histological staining results displayed reduced visible tubules in the outer kidney medulla, inflammatory cell infiltration, and loss of brush border epithelium in the kidney, and suppressed vacuolation in the liver tissues and in the outer medullary strips of kidney tissues in the septic mice injected with EPC-derived EVs (Fig. 7F). Less damage was observed in the kidney, liver, and lung tissues of septic mice injected with EPC-derived EVs carrying a high TUG1 expression.

Fig. 7. EPC-derived EVs carrying TUG1 alleviate multiple organ damage induced by sepsis.

Fig. 7

A The survival rate of mice within 7 days after CLP analyzed by Kaplan–Meier analysis. B Measurement of creatinine, BUN, NGAL, AST, and ALT levels in mouse serum. C Serum levels of IL-6, TNF-α, and MCP-1 assessed by ELISA 24 h after surgery. D Pulmonary edema in mice assessed by the wet/dry ratio. E The measurement of blood vessel leakage in lung and liver of mice by injecting Evans blue dye. F The morphological changes of lung, liver, and kidney tissues observed by HE staining 24 h after CLP. Measurement data were expressed as mean ± standard deviation. One-way ANOVA was adopted for comparison between multiple groups followed by Tukey’s post hoc test. Kaplan–Meier analyses were performed to calculate the survival rate. Log-rank test was conducted for univariate survival analysis. *p < 0.05 vs. sham-operated mice; #p < 0.05 vs. CLP-operated mice treated with Ad-NC (n = 12).

Discussion

The current study suggested that TUG1 was downregulated in sepsis and that its upregulation contributes to improved protection against the sepsis-caused inflammatory damage by impairing miR-9-5p-targeted inhibition of SIRT1 (Fig. 8).

Fig. 8. Schematic representation and function of TUG1/miR-9-5p/SIRT1 axis in the regulation of macrophage polarization in sepsis.

Fig. 8

EVs encapsuled TUG1 from EPCs stimulated the M2 macrophage polarization and inhibited inflammation by upregulating SIRT1 expression through inhibition of miR-9-5p to prevent the development of sepsis.

We found that TUG1 exerted an anti-inflammatory function in sepsis. Consistently, TUG1 gain of function can protect against LPS-caused inflammatory injury [24]. Also, TUG1 suppresses the secretion of inflammatory proteins such as IL-1β, IL-6, and IL-8 in colon HT-29 cells exposed to TNF-α treatment, demonstrating its anti-inflammatory role [25]. Besides, our study demonstrated the contributory role of TUG1 to the polarization of M1 to M2 macrophages, which has been scarcely reported. Essentially, our in vivo murine model validated the protective role of TUG1 against sepsis-evoked liver damage. A previous study indicated the ability of TUG1 to impair miR-34b-5p-mediated down-regulation of GAB1, thereby exercising a preventive effect against sepsis-induced acute kidney injury [12]. In light of the preceding evidence, we set out to investigate the TUG1-mediated anti-inflammatory mechanism in the sepsis models.

Our data also highlighted that TUG1 could bind to miR-9-5p to radically upregulate the expression of the miR-9-5p target gene SIRT1. A recent miRNA–mRNA integrated analysis revealed miR-9-5p as a miRNA enriched in M1 macrophages expressing diverse genes mediating fundamental immune responses [26]. Besides, the neurotoxic and proinflammatory roles of miR-9-5p have been highlighted in Parkinson’s disease by inhibiting SIRT1 [22]. However, their corresponding function in sepsis remains yet to be elucidated. SIRT1 is one of the well-characterized stress adapters and epigenetic enzymes from the sirtuin family, known for its protective action in cellular processes such as inflammation, vascular aging, and cardiac diseases [27]. SIRT1 potentially ameliorates inflammation induced by monosodium urate crystal deposition by modulating macrophage polarization [28]. SIRT1 can hinder the acetylation of NICD to restrain activation of Notch signaling to subsequently alleviate sepsis [29]. The specific molecules related to SIRT1-mediated macrophage polarization in sepsis warrants further investigation.

Finally, our findings substantiated that TUG1 was enriched in EPCs derived EVs and could be transferred to macrophages, hence stimulating macrophage polarization. EVs secreted from different cells have emerged as vital carriers of specific diagnostic and therapeutic molecules for diverse biological functions. For instance, mesenchymal stromal cell-derived EVs can effectively alleviate sepsis due to their favorable immunogenicity and safety profile [30]. In contrast, plasma EVs can induce the inflammatory response through miR- and TLR7-dependent mechanisms [31]. Consistent with our findings, EPCs derived EVs ameliorated sepsis outcomes, which were potentially induced via delivery of miR-126 [8]. Our study additionally substantiated the protective role of EPC EVs encapsuled TUG1 against sepsis in the murine model.

To conclude, the current study gives evidence for the contribution of TUG1 to macrophage polarization and its anti-inflammatory potency by blocking miR-9-5p-induced silencing of SIRT1 in sepsis. Hence, EVs encapsuled TUG1 presents a potential strategy for the clinical treatment of sepsis. However, due to the challenges in the isolation and purification of EVs, more investigations are necessary for the development of EV-based therapy. Thus, the translation of this finding into clinical application requires further validation.

Supplementary information

Supplementary Figure 1 (8.6MB, eps)
Supplementary Figure 2 (786.8KB, eps)
Supplementary Figure 3 (606.8KB, eps)
Supplementary Figure 4 (464.9KB, eps)
Supplementary Tables (19.4KB, docx)
aj-checklist (1.7MB, pdf)

Acknowledgements

This study was supported by Associated Foundation for 16 Colleges of ZZU (No. 23230818); Co Construction Project of Scientific and Technological Research in Henan Province (No. SB201901036); Key Scientific Project of University in Henan Province (No. 19A320015); Basic and Advanced Technological Research of Henan Province Science and Technology Department (No. 42300410327; 202102310381); and Medical Scientific and Technological Project of Henan Province (No. 201403060).

Author contributions

WZ, BC, and MY contributed to the conception and design of the study; WM, BC, and MY contributed to the acquisition of data; WZ and MY contributed to the analysis and interpretation of data; WM and LX contributed to drafting the article; WM, JG, QL, and HN contributed to revising the article critically for important intellectual content; and all authors approved the final version to be submitted.

Competing interests

The authors declare no competing interests.

Ethics

The experiments involving mice were performed with approval of the Animal Ethics Committee of the First Affiliated Hospital of Zhengzhou University. Adequate measures were taken to minimize the number of included animals in the experiments and their suffering.

Footnotes

Edited by Dr. Nirmal Robinson

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

These authors contributed equally: Wentao Ma, Weihong Zhang.

Contributor Information

Mengying Yao, Email: xxMYYao@163.com.

Hanbing Ning, Email: nhbing419@qq.com.

Lihua Xing, Email: cexdzcxotbxvr@163.com.

Supplementary information

The online version contains supplementary material available at 10.1038/s41419-021-04117-5.

References

  • 1.Fink MP, Warren HS. Strategies to improve drug development for sepsis. Nat Rev Drug Discov. 2014;13:741–58. doi: 10.1038/nrd4368. [DOI] [PubMed] [Google Scholar]
  • 2.Fleischmann C, Scherag A, Adhikari NK, Hartog CS, Tsaganos T, Schlattmann P, et al. Assessment of global incidence and mortality of hospital-treated sepsis. Current estimates and limitations. Am J Respir Crit Care Med. 2016;193:259–72. doi: 10.1164/rccm.201504-0781OC. [DOI] [PubMed] [Google Scholar]
  • 3.Perner A, Rhodes A, Venkatesh B, Angus DC, Martin-Loeches I, Preiser JC, et al. Sepsis: frontiers in supportive care, organisation and research. Intensive Care Med. 2017;43:496–508. doi: 10.1007/s00134-017-4677-4. [DOI] [PubMed] [Google Scholar]
  • 4.Grondman I, Pirvu A, Riza A, Ioana M, Netea MG. Biomarkers of inflammation and the etiology of sepsis. Biochem Soc Trans. 2020;48:1–14. doi: 10.1042/BST20190029. [DOI] [PubMed] [Google Scholar]
  • 5.Hoyer FF, Naxerova K, Schloss MJ, Hulsmans M, Nair AV, Dutta P, et al. Tissue-specific macrophage responses to remote injury impact the outcome of subsequent local immune challenge. Immunity. 2019;51:899–914. doi: 10.1016/j.immuni.2019.10.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Raeven P, Zipperle J, Drechsler S. Extracellular vesicles as markers and mediators in sepsis. Theranostics. 2018;8:3348–65. doi: 10.7150/thno.23453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Zhou Y, Li P, Goodwin AJ, Cook JA, Halushka PV, Chang E, et al. Exosomes from endothelial progenitor cells improve the outcome of a murine model of sepsis. Mol Ther. 2018;26:1375–84. doi: 10.1016/j.ymthe.2018.02.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.van Niel G, D’Angelo G, Raposo G. Shedding light on the cell biology of extracellular vesicles. Nat Rev Mol Cell Biol. 2018;19:213–28. doi: 10.1038/nrm.2017.125. [DOI] [PubMed] [Google Scholar]
  • 9.Buzas EI, Gyorgy B, Nagy G, Falus A, Gay S. Emerging role of extracellular vesicles in inflammatory diseases. Nat Rev Rheumatol. 2014;10:356–64. doi: 10.1038/nrrheum.2014.19. [DOI] [PubMed] [Google Scholar]
  • 10.Hashemian SM, Pourhanifeh MH, Fadaei S, Velayati AA, Mirzaei H, Hamblin MR. Non-coding RNAs and exosomes: their role in the pathogenesis of sepsis. Mol Ther Nucleic Acids. 2020;21:51–74. doi: 10.1016/j.omtn.2020.05.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Cheng L, Nan C, Kang L, Zhang N, Liu S, Chen H, et al. Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis. J Transl Med. 2020;18:217. doi: 10.1186/s12967-020-02372-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Qiu N, Xu X, He Y. LncRNA TUG1 alleviates sepsis-induced acute lung injury by targeting miR-34b-5p/GAB1. BMC Pulm Med. 2020;20:49. doi: 10.1186/s12890-020-1084-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Thomson DW, Dinger ME. Endogenous microRNA sponges: evidence and controversy. Nat Rev Genet. 2016;17:272–83. doi: 10.1038/nrg.2016.20. [DOI] [PubMed] [Google Scholar]
  • 14.Nie MW, Han YC, Shen ZJ, Xie HZ. Identification of circRNA and mRNA expression profiles and functional networks of vascular tissue in lipopolysaccharide-induced sepsis. J Cell Mol Med. 2020;24:7915–27. doi: 10.1111/jcmm.15424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Xie CH, Cao YM, Huang Y, Shi QW, Guo JH, Fan ZW, et al. Long non-coding RNA TUG1 contributes to tumorigenesis of human osteosarcoma by sponging miR-9-5p and regulating POU2F1 expression. Tumour Biol. 2016;37:15031–41. doi: 10.1007/s13277-016-5391-5. [DOI] [PubMed] [Google Scholar]
  • 16.Shen Z, Ajmo JM, Rogers CQ, Liang X, Le L, Murr MM, et al. Role of SIRT1 in regulation of LPS- or two ethanol metabolites-induced TNF-alpha production in cultured macrophage cell lines. Am J Physiol Gastrointest Liver Physiol. 2009;296:G1047–53. doi: 10.1152/ajpgi.00016.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Schug TT, Xu Q, Gao H, Peres-da-Silva A, Draper DW, Fessler MB, et al. Myeloid deletion of SIRT1 induces inflammatory signaling in response to environmental stress. Mol Cell Biol. 2010;30:4712–21. doi: 10.1128/MCB.00657-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Cao M, Zhang W, Li J, Zhang J, Li L, Liu M, et al. Inhibition of SIRT1 by microRNA-9, the key point in process of LPS-induced severe inflammation. Arch Biochem Biophys. 2019;666:148–55. doi: 10.1016/j.abb.2018.12.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Singh KK, Matkar PN, Muhammad S, Quan A, Gupta V, Teoh H, et al. Investigation of novel LPS-induced differentially expressed long non-coding RNAs in endothelial cells. Mol Cell Biochem. 2016;421:157–68. doi: 10.1007/s11010-016-2797-8. [DOI] [PubMed] [Google Scholar]
  • 20.Essandoh K, Li Y, Huo J, Fan GC. MiRNA-mediated macrophage polarization and its potential role in the regulation of inflammatory response. Shock. 2016;46:122–31. doi: 10.1097/SHK.0000000000000604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Kim YM, Polzin DJ, Rendahl A, Granick JL. Urinary neutrophil gelatinase-associated lipocalin in dogs with stable or progressive kidney disease. J Vet Intern Med. 2019;33:654–61. doi: 10.1111/jvim.15428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Wang Z, Sun L, Jia K, Wang H, Wang X. miR-9-5p modulates the progression of Parkinson’s disease by targeting SIRT1. Neurosci Lett. 2019;701:226–33. doi: 10.1016/j.neulet.2019.02.038. [DOI] [PubMed] [Google Scholar]
  • 23.Dong Y, Fan G, Li Y, Zhou Q. TUG1 represses apoptosis, autophagy, and inflammatory response by regulating miR-27a-3p/SLIT2 in LPS-treated vascular endothelial cells. J Surg Res. 2020;256:345–54. doi: 10.1016/j.jss.2020.05.102. [DOI] [PubMed] [Google Scholar]
  • 24.Zang L, Song Y, Yu F, Liu X. Emodin relieved lipopolysaccharide-evoked inflammatory damage in WI-38 cells by up-regulating taurine up-regulated gene 1. Biofactors. 2020;46:860–8. doi: 10.1002/biof.1609. [DOI] [PubMed] [Google Scholar]
  • 25.Han J, Li Y, Zhang B, Liu H, Wu M, Zhang X. lncRNA TUG1 regulates ulcerative colitis through miR-142-5p/SOCS1 axis. Micro Pathog. 2020;143:104139. doi: 10.1016/j.micpath.2020.104139. [DOI] [PubMed] [Google Scholar]
  • 26.Lu L, McCurdy S, Huang S, Zhu X, Peplowska K, Tiirikainen M, et al. Time series miRNA-mRNA integrated analysis reveals critical miRNAs and targets in macrophage polarization. Sci Rep. 2016;6:37446. doi: 10.1038/srep37446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.D’Onofrio N, Servillo L, Balestrieri ML. SIRT1 and SIRT6 signaling pathways in cardiovascular disease protection. Antioxid Redox Signal. 2018;28:711–32. doi: 10.1089/ars.2017.7178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Liu L, Zhu X, Zhao T, Yu Y, Xue Y, Zou H. Sirt1 ameliorates monosodium urate crystal-induced inflammation by altering macrophage polarization via the PI3K/Akt/STAT6 pathway. Rheumatology. 2019;58:1674–83. doi: 10.1093/rheumatology/kez165. [DOI] [PubMed] [Google Scholar]
  • 29.Bai X, He T, Liu Y, Zhang J, Li X, Shi J, et al. Acetylation-dependent regulation of Notch signaling in macrophages by SIRT1 affects sepsis development. Front Immunol. 2018;9:762. doi: 10.3389/fimmu.2018.00762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Zheng G, Huang R, Qiu G, Ge M, Wang J, Shu Q, et al. Mesenchymal stromal cell-derived extracellular vesicles: regenerative and immunomodulatory effects and potential applications in sepsis. Cell Tissue Res. 2018;374:1–15. doi: 10.1007/s00441-018-2871-5. [DOI] [PubMed] [Google Scholar]
  • 31.Xu J, Feng Y, Jeyaram A, Jay SM, Zou L, Chao W. Circulating plasma extracellular vesicles from septic mice induce inflammation via microRNA- and TLR7-dependent mechanisms. J Immunol. 2018;201:3392–400. doi: 10.4049/jimmunol.1801008. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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Supplementary Materials

Supplementary Figure 1 (8.6MB, eps)
Supplementary Figure 2 (786.8KB, eps)
Supplementary Figure 3 (606.8KB, eps)
Supplementary Figure 4 (464.9KB, eps)
Supplementary Tables (19.4KB, docx)
aj-checklist (1.7MB, pdf)

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