Abstract
Persistence of leukemic stem cells (LSCs) is one of the determining factors to acute myeloid leukemia (AML) treatment failure and responsible for the poor prognosis of the disease. Hence, novel therapeutic strategies that target LSCs are crucial for treatment success. We investigated if targeting Bcl-2 and peroxisome proliferator activated receptor α (PPARα), two distinct cell survival regulating mechanisms could eliminate LSCs. This study demonstrate that the Bcl-2 inhibitor venetoclax combined with the PPARα agonist chiglitazar resulted in synergistic killing of LSC-like cell lines and CD34+ primary AML cells while sparing their normal counterparts. Furthermore, the combination regimen significantly suppressed AML progression in patient-derived xenograft (PDX) mouse models. Mechanistically, chiglitazar-mediated PPARα activation inhibited the transcriptional activity of the PIK3AP1 gene promoter and down-regulated the PI3K/Akt signaling pathway and anti-apoptotic Bcl-2 proteins, leading to cell proliferation inhibition and apoptosis induction, which was synergized with venetoclax. These findings suggest that combinatorial Bcl-2 inhibition and PPARα activation selectively eliminates AML cells in vivo and vitro, representing an effective therapy for patients with relapsed and refractory AML.
Subject terms: Acute myeloid leukaemia, Apoptosis
Introduction
Acute myeloid leukemia (AML) is the most common subtype of adult leukemia. Currently, the five-year survival rate is only approximately 30% and improved therapeutic approaches are needed [1]. Leukemia stem cells (LSCs), a subpopulation of leukemic cells are characterized with CD34+/CD34+CD38- phenotypes that can self-renew and initiate leukemia [2]. Their quiescent nature and unique protective mechanisms, such as resistance to apoptosis, make them less sensitive to chemotherapy, which is also the root cause of AML recurrence [3–6].
Bcl-2 is an anti-apoptotic protein that protects leukemia cells and LSCs from therapeutic agent-induced apoptosis. Venetoclax (ABT-199), the highly selective Bcl-2 inhibitor, has entered clinical applications for treating patients with hematological malignancies [7]. However, the overall remission rate (ORR) of venetoclax monotherapy for high-risk relapsed refractory (R/R) AML is only 19%, and the overall survival (OS) of patients is only 4.7 months [8, 9]. Combination of venetoclax with hypomethylating agents has greatly improved response rates, but OS is still only 14.7 months [10, 11]. Multiple mechanisms including dependency on alternative anti-apoptotic proteins Bcl-xL or Mcl-1 contribute to venetoclax resistance [12], supporting that co-targeting more than one cell survival mechanisms is needed to improve the efficacy of venetoclax in AML [13].
PPAR is a transcription factor. PPAR-retinoid X receptor (RXR) heterodimer binds with peroxisome proliferators responsive elements (PPREs) in the promoter region of target genes to regulate the transduction of downstream genes [14–16]. Chiglitazar, an agent currently used for treating type II diabetes has been identifies as a PPAR agonist [17], significantly induces apoptosis by enhancing the expression of PPARα in HepG2 cells [18] and triggers apoptosis in tumor cells in glioma [19] and mantle cell lymphoma (MCL) [20]. Additionally, the activation of PPARα can promote the degradation of HIF-1α under hypoxic conditions, thereby down-regulating the target gene CYP3A4 in hepatoma cells [21] and VEGF in MCF-7 human breast cancer cells and A2780 ovarian cancer cells [22]. These studies indicate that chiglitazar could serve as a low-toxicity adjuvant drug for treating tumors.
Here, we demonstrate that combined inhibition of Bcl-2 by venetoclax and activation of PPARα by chiglitazar has synergistic anti-leukemia activity against LSC-like cell lines (KG-1α and Kasumi-1) and CD34+ primary AML cells while sparing normal cells in vitro. Besides, the combination of venetoclax and chiglitazar significantly inhibited AML progression in PDX mouse models driven by CD34+ primary AML cells. Mechanistically, the combination regimen targets multiple members of Bcl-2 family proteins: venetoclax inhibits Bcl-2 and chiglitazar regulates the expression of Bcl-2 family proteins by suppression the PI3K/Akt signaling pathway mediated through PPARα activation.
Results
Venetoclax combined with chiglitazar synergistically decreases the viability of LSC-like cells in vitro
To document the phenotypic features of KG-1α and Kasumi-1 cell lines, flow cytometric analyses were performed to characterize the LSC-like CD34+CD38- population (Fig. 1A) and examine the expression of multiple LSC-relevant markers, including CD123, CD96, CD25, CD44, CD32, and CD47 (Supplemental Fig. S1). Thus, these CD34+-enriched KG-1α and Kasumi-1 cells were used for further analyses in this study.
To evaluate the effect of venetoclax combined with chiglitazar on the viability of LSC-like cells, KG-1α and Kasumi-1 cells were cultured and treated with designated drugs. Trypan blue staining (Fig. 1B) revealed that venetoclax or chiglitazar decreased living cell numbers in a dose-dependent manner and the combination regimen further decreased cell viability, which was further confirmed by CCK-8 assays (Fig. 1C). Venetoclax and chiglitazar combination was highly synergistic in reducing the viability of KG-1α and Kasumi-1 cells (Fig. 1D).
Venetoclax combined with chiglitazar synergistically induces LSC-like cell apoptosis in vitro
Since PPARα activation can induce apoptosis in a variety of tumor cells [18–21] and venetoclax inhibits the anti-apoptotic protein Bcl-2 [23], the apoptosis of KG-1α cells was assessed by flow cytometry using Annexin V/PI staining (Supplemental Fig. S2A). KG-1α (Fig. 2A, B) and Kasumi-1 cells (Fig. 2C, D) were treated with designated drugs for 24 h. Each agent alone induced apoptosis with a dose-dependent manner, which was significantly enhanced when the two drugs were combined. The flow cytometry data and CI value results are shown in Supplemental Fig. S2. These results showed that venetoclax combined with chiglitazar synergistically induced apoptosis in KG-1α and Kasumi-1 cells in vitro.
Venetoclax combined with chiglitazar synergistically inhibits clone formation in LSC-like cells
A soft agar clone formation experiment was used to assess the effect of venetoclax/chiglitazar on the tumor-forming ability of KG-1α and Kasumi-1 cells in vitro. After 24-h pretreatment with venetoclax (100 nM) or chiglitazar (10 μM) alone moderately inhibited colony formation of KG-1α and Kasumi-1 cells, while combination therapy had a significant effect (Fig. 2E, F; P < 0.0001 for each case). These results indicate that venetoclax combined with chiglitazar can significantly inhibit the colony forming ability of KG-1α and Kasumi-1 cells in vitro.
Venetoclax combined with chiglitazar effectively down-regulates anti-apoptotic proteins
Next, to explore potential molecular mechanisms by which combination of venetoclax with chiglitazar in LSC-like cells, RNA sequencing analysis was performed, which showed that exposure to chiglitazar resulted in down-regulation of PIK3AP1, BCL2L1 (Bcl-xL), and MCL1, as well as up-regulation of BCL2L11 (Bim) and BAK in KG-1α cells (Fig. 3A).
PIK3AP1 is highly expressed in most cancers, which activates the PI3K/Akt pathway [24–28]. Chiglitazar-mediated activation of the transcription factor PPARα and PPARγ is involved in the regulation of the expression of various genes [15–17]. First, we examined the expression of PPARα and PPARγ in KG-1α and Kasumi-1 cells treated with indicated agents. Although chiglitazar did not up-regulate the mRNA levels of PPARα (Fig. 3B), it markedly increased the protein level of PPARα, but not PPARγ (Fig. 3C). Furthermore, chiglitazar-mediated PPARα activation was associated with reduced the mRNA level of PIK3AP1 (Fig. 3C, D).
As a specific inhibitor of Bcl-2, venetoclax is very potent in inducing apoptosis in leukemia cell lines depending on Bcl-2 [8]. We explored the potential molecular mechanisms by which venetoclax combined with chiglitazar synergistically induces apoptosis. As shown in Fig. 3C, chiglitazar-mediated activation PPARα reduced the PI3K/Akt phosphorylation and down-regulated the protein level of Akt. Moreover, exposure to venetoclax alone led to a clear increase in Bim, but not Bax and Bak. Treatment with chiglitazar alone resulted in marked down-regulation of anti-apoptotic proteins (Bcl-2, Mcl-1, and Bcl-xL) but up-regulation of pro-apoptotic proteins (Bim, Bax, and Bak). Notably, co-treatment with venetoclax and chiglitazar further down-regulation of these anti-apoptotic proteins (Fig. 3C).
These results demonstrate that chiglitazar activates PPARα, down-regulates the PI3K/Akt signaling pathway, decreases multiple anti-apoptotic proteins and increases pro-apoptotic proteins, which synergize with the Bcl-2 inhibitor venetoclax to induce apoptosis in LSC-like cells.
Chiglitazar inhibits the proliferation-related pathways and transcription factors
Phosphorylated ERK1/2 is known to translocate from the cytoplasm to the nucleus [29], where it mediates the transcriptional activation of various proliferation-related factors such as c-Myc, c-fos, c-jun, and ETS1 [30]. To further explore the potential mechanisms for inhibition of cell proliferation by chiglitazar, we examined the Raf-MEK-ERK signal pathway and found that chiglitazar alone or its combination with venetoclax clearly diminished ERK phosphorylation as well as down-regulated c-MYC protein levels (Fig. 3E). Furthermore, we found the mRNA levels of c-Myc, c-fos, c-jun, and ETS1 by RT-PCR were also down-regulated (Fig. 3F). These results support that chiglitazar exerts anti-leukemia activity at least in part through inhibition of proliferation-related pathways.
Chiglitazar-mediated PPARα activation down-regulates PIK3AP1 in LSC-like cells
PPARα acts as a transcription factor that recognizes and binds to RXR elements in the promoter region of target genes and regulates the expression of downstream genes [14]. We hypothesized that chiglitazar activates the transcription factor PPARα that interacts with the promoter region of PIK3AP1 and down-regulates its expression. To test this hypothesis, we cloned the human PIK3AP1 promoter and co-transfected HEK293T cells (Fig. 4A), KG-1α and Kasumi-1 cells (Fig. 4B) with the pGL3-PIK3AP1 promoter, pML-SV40-hRluc and various amounts of pCMV-PPARα/chiglitazar for the luciferase reporter activity assay. Transient PPARα expression significantly decreased the activity of the PIK3AP1 promoter in a dose-dependent manner, thus inhibiting transcription and translation of this gene. Similarly, chiglitazar inhibited the transcriptional activity of the PIK3AP1 promoter in a dose-dependent manner. To further demonstrate the functionality of these two PPRE sites, PPRE1 deletion, PPRE2 deletion and double deletions of the human PIK3AP1 gene promoter were linked to the luciferase reporter gene (Fig. 4C) and analyzed in co-transfected KG-1α and Kasumi-1 cells (Fig. 4D). Further, ChIP assay revealed that chiglitazar increased the recruitment of PPARα to the PIK3AP1 promoter in KG-1α and Kasumi-1 cells (Fig. 4E). Taken together, these results suggest that PPARα could be recruited to the PPRE1 site of PIK3AP1 promoter and thus reduce the transcriptional activity of PIK3AP1 in LSC-like cells.
To further confirm the contribution of PIK3AP1/PI3K signaling inhibition by chiglitazar-induced, KG-1α and Kasumi-1 cells were transfected with the pCMV-SPORT6-PIK3AP1 or empty vector and then exposed to 10 μM chiglitazar or vehicle for 24 h. The results showed that PIK3AP1 expression rescued the expression and activation of p-PI3K and restored its downstream anti-apoptotic proteins (e.g., Bcl-2, Bcl-xL, and Mcl-1) while preventing up-regulation of Bim in chiglitazar-treated KG-1α and Kasumi-1 cells (Fig. 4F). Last, flow cytometric analysis showed the administration of the pan-caspase inhibitor Z-VAD-fmk (20 μM) significantly prevented apoptosis induced by either venetoclax and chiglitazar alone or in combination in KG-1α and Kasumi-1 cells (Fig. 4G and Supplemental Fig. S3). However, it failed to restore the expression of the anti-apoptotic proteins and prevent up-regulation of Bim in response to chiglitazar (Fig. 4H).
Collectively, our data suggest that chiglitazar-mediated PPARα activation inhibits transcriptional activity of the PIK3AP1 gene promoter, which further induces apoptosis and inhibits cell proliferation by down-regulating PI3K/Akt signaling pathway, and cooperate with selective Bcl-2 inhibition to synergistically eliminate LSC-like cells.
Venetoclax combined with chiglitazar synergistically inhibits the growth of CD34+ primary AML cells while sparing normal cells
Next, we evaluated the anti-leukemic activity of venetoclax/chiglitazar in primary AML cells and hematopoietic stem cells (HSCs). Treatment with venetoclax or chiglitazar alone induced apoptosis (Fig. 5A; P = 0.0662 and P < 0.0001, venetoclax and chiglitazar versus DMSO, respectively). Importantly and consistent with the anti-leukemic effects observed in LSC-like cell lines, 50 nM venetoclax combined with 10 μM chiglitazar resulted significantly more robust apoptosis induction than monotherapy in CD34+ AML cells (Fig. 5A; P < 0.0001 and P = 0.0037, combination versus venetoclax or chiglitazar, respectively; n = 22). In contrast, combination treatment with the same dose of venetoclax and chiglitazar had minimal cytotoxicity in normal bone marrow CD34+ cells (Fig. 5B; n = 9). Flow cytometric data for CD34/Annexin V/PI staining of CD34+ primary AML cells after treatment are shown in Supplemental Fig. S4. These results show that venetoclax combined with chiglitazar has therapeutic potential to target CD34+ AML cells with limited toxicity toward HSCs.
Venetoclax combined with chiglitazar exerts more effective anti-leukemia activity than monotherapy in an AML PDX model
Finally, the efficacy of venetoclax/chiglitazar was tested by PDX model (Fig. 6A). ½ of the animals were analyzed on day 15 and ½ were kept for survival analysis. Based on the spleen weight and size in the different treatment groups (n = 4/group), venetoclax combined with chiglitazar likely improve splenomegaly associated with AML (Fig. 6B, C; all P < 0.05, venetoclax or chiglitazar alone versus vehicle; all P < 0.001, vehicle, venetoclax, or chiglitazar versus combination). As shown in Fig. 6D, hCD45+ cells, as determined by flow cytometry in the spleen of mice in the chiglitazar treatment group were significantly reduced compared with those in the vehicle group (P = 0.0003), and the proportion of hCD45+ cells in the spleen of mice in the venetoclax combined with chiglitazar treatment group was significantly less than that in the single treatment group (P = 0.008, combination versus venetoclax; P = 0.0037, combination versus chiglitazar) and the vehicle group (P < 0.0001). Supplemental Fig. S5 showed the flow cytometry data of histograms. These results showed that venetoclax combined with chiglitazar significantly reduced the tumor burden in spleen. The mouse weights slightly reduced during disease progression or with treatments (Fig. 6E), but mice behaved normal, with no obvious hair loss. Mice in the treatment groups looked more active, suggesting that the mice tolerated well to the therapy.
The remaining 5 mice in each group were followed for survival. The survival time of mice treated with venetoclax and chiglitazar monotherapy was not significant extended compared with vehicle (P = 0.10, venetoclax versus vehicle; P = 0.14, chiglitazar versus vehicle), but the combinatorial treatment significantly extended the mouse survival compared with that in the single agent treatment and vehicle group (Fig. 6F; all P < 0.01). The median survival time of the combined treatment group was 25 days, while the venetoclax and chiglitazar monotherapy groups and the vehicle group were 19 days, 21 days, and only 17 days, respectively.
Additionally, the histopathology analysis at 2 weeks of treatment showed that compared to that in vehicle controls, the spleen infiltration of leukemic cells of PDX mice in the venetoclax/chiglitazar treatment group was significantly reduced showing a well-preserved normal tissue structure (Fig. 6G). Finally, immunohistochemical (IHC) staining showed that the proportion of hCD34+ and hCD45+ cells in the BM of PDX mice in the combination treatment group was significantly lower than that in vehicle and single agent treatment group. The expression of p-PI3K, p-Akt1 and p-ERK1/2 was markedly down-regulated in the BM of PDX mice treated with venetoclax and chiglitazar (Fig. 6G). Together, these findings argue strongly that the regimen combining venetoclax and chiglitazar might be highly active against LSCs in vivo.
Discussion
Although effective, most AML patients treated with the venetoclax/HMA combination therapy will develop drug resistance and clinical relapse due to various compensatory mechanisms of complex signaling networks [31–33]. High Mcl-1 and Bcl-xL levels are among the factors associating with low responses and resistance to venetoclax. LSCs are mostly in the quiescent state and have the characteristics of resistance to multiple drugs and apoptosis induction, leading to disease progression and relapse of AML patients. We aimed to develop a combination therapy and synergistic treatment scheme to enhance the antitumor activity of venetoclax and the possibility of clinical translation. Our study has demonstrated that venetoclax combined with low-cost and low-toxic chiglitazar synergistically targets AML ex vivo and in vitro.
The PI3K/Akt signaling pathway controls various cellular physiological processes, including cell differentiation, proliferation, metabolism, autophagy, angiogenesis, exocytosis and motility [34]. High PI3K/Akt signaling predicts poor prognosis in both solid tumors and hematological malignancies [35]. Previous studies have shown that PIK3AP1, a therapeutic target, inhibits the occurrence and development of gastric cancer [24], thyroid cancer [25], cervical cancer [26, 27], and others by regulating the PI3K/Akt signaling pathway indicating that PIK3AP1 plays a key role in PI3K/Akt signaling. Using the JASPAR and FIMO databases, we predicted the existence of two sites (PPRE1 and PPRE2) that specifically bind to PPARα on the PIK3AP1 promoter and experimentally confirmed the negative regulatory effect of PPARα on the PIK3AP1 gene. However, although exposure to chiglitazar, a dual agonist of PPARα and PPARγ [17], did not alter the protein level of PPARγ, it could not be excluded that PPARγ may also play a role in anti-leukemic effect of chiglitazar alone or in combination with venetoclax.
Mitochondrial apoptosis is highly regulated by a family of pro- and anti-apoptotic Bcl-2 protein family members [36]. On the one hand, treatment with low-dose (sublethal) chiglitazar inhibited the PI3K/Akt signaling pathway by activating PPARα, which co-operated with venetoclax to regulate the expression of BCL2 family proteins (including down-regulation of anti-apoptotic Bcl-2, Bcl-xL, and Mcl-1, as well as up-regulation of pro-apoptotic Bim) in AML cells. On the other hand, the BH3-only mimetic venetoclax acts to unleash the BH3-only protein Bim from Bcl-2 to trigger the intrinsic apoptotic cascade through Bax/Bak activation [37]. However, since venetoclax does not target Mcl-1 and Bcl-xL, it cannot block binding of Bim with them and thus impairs the anti-tumor activity of this agent [38]. Therefore, one rationale is to combine the highly specific Bcl-2 inhibitor venetoclax with other agents that affect multiple other BCL2 family proteins. We found that chiglitazar down-regulated the anti-apoptotic proteins (e.g., Bcl-2, Bcl-xL, and Mcl-1) but up-regulated the pro-apoptotic proteins (e.g., Bim, Bax, and Bak) via inhibition of the PI3K/Akt pathway, therefore providing the mechanistic basis for combining it with venetoclax. Moreover, ERK phosphorylates Bim at serine 69 and Mcl-1 at threonine 163 to modulate their protein stability [39, 40], which may contribute to up-regulation of Bim and/or down-regulation of Mcl-1 in AML cells exposed to chiglitazar. Together, simultaneous neutralization of Bcl-2 (by venetoclax) and down-regulation of Bcl-2, Bcl-xL, and Mcl-1 (by chiglitazar) lead to release of Bim from these anti-apoptotic proteins, thereby inducing the activation of Bax/Bak and apoptosis. In addition, such a mechanism of action (MOA) may overcome venetoclax resistance in AML cells [41, 42].
The cross-talk of PI3K and MAPK (mitogen-activated protein kinase) pathway has been reported previously. For example, several studies have shown that PI3K can indirectly activate the Raf/MEK/ERK signaling cascade in AML [43–45]. The latter pathway is often constitutively activated in AML, leading to a specific expression profile of genes that determines cell fate [46]. The ERK1/2 phosphorylation at Thr183 and Tyr185 activates the protein, which then enters the nucleus to regulate the transcription of growth factors [47]. Consistently, we found that chiglitazar, a PPARα agonist, down-regulated the expression of p-c-Raf, p-MEK and p-ERK, thereby inhibiting the transcription of growth factors such as c-Myc, c-fos, c-jun, and ETS1 and thus suppressing cell growth and proliferation.
Furthermore, this study demonstrated that venetoclax combined with chiglitazar resulted in synergistic lethality to primary CD34+ AML cells while largely sparing their normal counterparts. While the exact mechanism for such selectivity remains unclear, one possible explanation is the differential expression of PPARα between HSCs and CD34+ AML cells [48]. The efficacy of this regimen was further validated in a PDX model. The model was generated from LSCs of a refractory relapsed AML patient and it was frequently used for the preclinical evaluation of personalized treatment strategies [49, 50]. In conclusion, we demonstrate that PPARα activation by chiglitazar synergizes with Bcl-2 inhibition by venetoclax against LSC-like cells at least in part through suppressing the transcriptional activity of the PIK3AP1 gene promoter, down-regulating the PI3K/Akt signaling pathway, and decreasing multiple cell survival proteins (Fig. 7). This study provides strong preclinical evidence that the combination regimen of venetoclax and chiglitazar may be an alternative treatment for AML patients with refractory/relapsed diseases, especially those who do not meet the conditions of intensive chemotherapy and lack of responses to venetoclax-based therapies.
Materials and methods
Reagents and cells
Venetoclax and chiglitazar were all purchased from Chipscreen Bioscience Ltd. (Shenzhen, China) and dissolved in dimethyl sulfoxide (DMSO) for all in vitro assays.
KG-1α and Kasumi-1 cell lines were kindly provided by Union Hospital, Fujian Medical University (Fuzhou, China) and cultured in RPMI-1640 medium supplemented with 10% FBS, 100 μg/mL streptomycin and 100 U/mL penicillin (HyClone, Thermo Scientific, MA, USA) in an environment containing 5% CO2 at 37 °C. The HEK293T cells were purchased from ATCC (Teddington, UK) and cultured in DMEM medium with the same conditions.
Cell sorting
CD34+/CD38--enriched cells were sorted form KG-1α and Kasumi-1 cells using flow cytometry (FACS Aria IIU, BD) after staining with anti-CD34-APC and anti-CD38-PE. In addition, cells were stained with anti-CD123-PE, anti-CD96-PE, anti-CD25-PE, anti-CD44-FITC, anti-CD32-APC, and anti-CD47-Brilliant Violet 421 (Biolegend, CA, USA) for 30 min at 4 °C and then subjected to flow cytometric analysis for documenting their LSC phenotypic features.
Patient samples
Human bone marrow (BM) samples were obtained from patients following the informed consent in accordance with the Declaration of Helsinki and protocols approved by the Ethics Review Board of First Affiliated Hospital of Xiamen University. HSCs and primary AML cells were separated from the BM of healthy donors and AML patients using Ficoll-Hypaque density gradient column (Cytiva, Uppsala, Sweden), respectively. Primary CD34+ AML cells were sorted using flow cytometry as described above.
Cell proliferation and viability assays
A total of 2 × 105/mL KG-1α or Kasumi-1 cells were inoculated and treated with DMSO, the indicated doses of venetoclax and chiglitazar alone or in combination for 24 h. Then trypan blue (MCE, Shanghai, China) was used to measure the cell number at various time points.
A total of 1 × 104 KG-1α or Kasumi-1 cells were seeded in 96-well plates containing 100 μL medium and treated with designated drugs for 24 h. After treatment, the CCK-8 kit (MCE) was used to measure cell viability. CompuSyn software and the Chuou-Talalay medium effect analysis method were used to calculate the fraction affected (Fa) and the corresponding drug combination index (CI) of each treatment group and to draw the Fa-CI curve [51].
Flow cytometric analysis of apoptosis
To assess apoptosis, 5 × 105 KG-1α or Kasumi-1 cells were inoculated in 24-well plates containing 1 mL medium and treated with designated drugs for 24 h, followed by staining with Annexin V/PI (Biolegend) in dark for 15 min. Then, flow cytometry was used to analyze the percentage of apoptotic cells (Annexin V+).
Clonogenic assay
Cell colony formation was evaluated as described previously [52]. A total of 5 × 105/mL KG-1α or Kasumi-1 cells were treated with DMSO, 100 nM venetoclax and 10 μM chiglitazar alone or in combination for 24 h. Subsequently, 1000 cells from every treatment were incubated in 6-well soft agar and cultured for 14 days at 37 °C. Colonies were stained with 0.5% crystal violet stain solution (MCE) and CFUs consisting of at least 50 cells were counted.
RNA-sequencing
A total of 1 × 107 KG-1α cells were incubated with chiglitazar (15 μM) for 24 h, followed by total RNA extraction with TRIzol reagent (Invitrogen). RNA-seq experiment and high through-put sequencing and data analysis were conducted by Seqhealth Technology Co., LTD (Wuhan, China).
RNA isolation and qPCR
A total of 1 × 106 KG-1α or Kasumi-1 cells were seeded in 6 cm plates containing 4 mL medium and treated with DMSO, 50 nM venetoclax and 10 μM chiglitazar alone or in combination for 36 h. The TRIzol reagent was used to extract and purify the total RNA, 1 µg of which were reverse transcribed to cDNA using Evo M-MLV RT Premix (Accurate Biology, Hunan, China). Then, the qPCR was performed with SYBR Green Premix Pro Taq HS qPCR Kit (Accurate Biology). The 2−ΔΔCT method was used for analysis and GAPDH was used as an endogenous reference. Relevant primers are listed in Supplemental Table S1.
Western blot analysis
Western blot analysis was performed as previously described [53]. The primary antibodies were as follows: PPARα (ab227074), PPARγ (ab178866), PI3K (#4292), p-PI3K (#4228), Akt (#4685), p-Akt1 (AP0637), Bcl-2 (#15071), Bcl-xL (#2762), Mcl-1 (#39224), Bim (A19702), Bax (#2774), Bak (#12105), p-c-Raf (#9431), MEK1/2 (A18117), p-MEK1/2 (#9154), ERK1/2 (A10613), p-ERK1/2 (#3510), c-MYC (#18583), and GAPDH (#2118).
Plasmid construction
The sequence of the PIK3AP1 promoter was found in the UCSC database (https://genome.ucsc.edu/) and was compared and validated in NCBI. The binding site of PPARα in the PIK3AP1 promoter region was predicted by JASPAR database (https://jaspar.genereg.net/).
Human PIK3AP1 promoter fragments were amplified by PCR from human genomic DNA with the primers 5′-GGTACCAGTTGTCCAGATGCACTTGGTT-3′ and 5′-AAGCTTCTGGCGCTTCCTCCCTCA-3′. Deletion mutations were made to the binding sites in the promoter region using the overlap PCR method. The PCR products were digested by Kpn I and Hind III, and cloned into the reporter plasmid pGL3-Basic (Promega Corp., Madison, WI, USA) using T4 ligase to generate the pGL3-PIK3AP1 promoter-LUC. Similarly, human PPARα (5′-GCGTGCACGGCACAACCAGCACCAT-3′ and 5′-CGGGATCCTGCTCCCCCGTCTCCTTTG-3′) and human PIK3AP1 (5′-AGATCTATGGCAGCCTCAGGGGT-3′ and 5′-GGTACCTCAGCGTCCTCTGGGTGG-3′) were cloned into the pCMV vector (Promega) to generate pCMV-3× FLAG-PPARα and pCMV-SPORT6-PIK3AP1, respectively.
Transfection and luciferase reporter assay
The pGL3-PIK3AP1 promoter-LUC, PML-SV40-HRLUC and pCMV-3×FLAG-PPARα were co-transfected into HEK293T cells using Lipofectamine 2000 (Thermo Fisher Scientific, Waltham, MA) for 36 h and into KG-1α and Kasumi-1 cells by electrotransfection (Bio-Rad, California, USA), respectively. These cells were washed with pre-cooled 1×PBS and lysed with Harvest Buffer (200 μL/per well) for 10 min. After being centrifuged, the supernatant was mixed with the luciferase substrate, and the fluorescence intensity was measured within 30 s. Firefly luciferase activity values were divided by Renilla luciferase activity values to obtain the normalized luciferase activities (Promega).
Chromatin immunoprecipitation (ChIP) assay
ChIP assay was performed as previously described [54]. Briefly, 2 × 107 KG-1α or Kasumi-1 cells were incubated with 15 μM chiglitazar for 24 h. The ChIP assay was performed using SimpleChIP Enzymatic Chromatin IP kit (Cell Signaling Technology) and detected by quantitative PCR using the following primers targeting specific region of the PIK3AP1 promoter, including PPRE1: 5′-AGCTGGGATGGTCTCGATCTC-3′ and 5′-CTTCTGTCTCCCTCTTCCAG-3′; PPRE2: 5′-TCCCTAACATCCGGAGCTGG-3′ and 5′-GGCCTGGCCAGTTTGTGTT-3′.
Patient-derived xenograft (PDX) models
All animal experiments were approved by Xiamen University Animal Ethics and Management Committee. NOD-SCID IL-2Rγ null (NSG) mice (4–6 weeks old, female) were bred with specific pathogen-free (SPF) conditions. To generate PDX mouse models, these NSG mice were injected with 5 × 105 humanized splenocytes from xenograft mice established by administering primary CD34+ AML cells via tail vein after irradiation with 1 Gy. Cells were obtained from a patient with newly-diagnosed AML (female, 38 years old, FAB M5, 1.4 × 109/L WBC, with mutations of DNMT3A, IDH1, and NPM1), without prior treatments (including venetoclax or chiglitazar). After 14 days, these mice were randomly assorted to four groups (n = 9/group) and treated with vehicle, venetoclax (50 mg/kg/day, oral gavage), chiglitazar (10 mg/kg/day, oral gavage) or the combination for two consecutive weeks.
These mice were monitored and weighed daily for toxicity (n = 4) during treatment. After treatment, these mice were euthanized and the spleen weight was measured with an analytical balance. Then, the percentage of human CD45+/mouse CD45- cells in spleen was measured by flow cytometry (n = 4). Since leukemia burden in spleen is defined as hCD45+ and mCD45- cells, hCD45 cells were detected by human CD45 antibodies and mCD45 cells were detected with murine CD45 (Biolegend). The survival of the remaining mice was monitored (n = 5).
Immunohistochemistry
Immunohistochemistry (IHC) and hematoxylin and eosin staining (H&E staining) were performed as previously described [53]. Briefly, tissue slides were incubated with the primary antibodies against human CD34 (ab110643), human CD45 (#13917), p-PI3K (#4228), p-Akt1 (AP0637) and p-ERK1/2 (AP0974).
Statistical analysis
One-way or two-way analysis of variance (ANOVA) respectively followed by post-hoc test of the LSD or Bonferroni with GraphPad Prism 6 Software (USA) were used to assess statistical analysis. All date represent the mean ± standard deviation (SD) for at least three independent experiments. P < 0.05 is considered statistically significant differences between groups.
Supplementary information
Acknowledgements
Not applicable.
Author contributions
JZ, BX, CX: study concept and design; CX, HZ, DQ, HZ, YT, WL and JZ experimental studies; CX, HZ, DQ, LL, XY, HD, YZ, ZL, ZF, YL, BC, BX, JZ: collection and data analysis and manuscript writing; JZ, BX: obtained funding.
Funding
This work was financially supported by the National Natural Science Foundation of China (Nos. U22A20290, 82170180, 81800163, 82100204, and 81900164), Natural Science Foundation of Fujian Province, China (Nos. 2023J06054, 2020J05307, 2020J011246, and 2021J011359) and the Xiamen Municipal Bureau of Science and Technology (3502Z20209003, 3502Z20209008).
Data availability
The datasets presented in this study are available from the corresponding authors with reasonable requests.
Competing interests
The authors declare no conflict of interest.
Ethics approval and consent to participate
All animal experiments have been supervised and approved by the Laboratory Animal Ethics and Management Committee of Xiamen University.
Footnotes
Edited by Dr Marco Herold
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Chendi Xie, Hui Zhou.
Contributor Information
Bing Z. Carter, Email: bicarter@mdanderson.org
Bing Xu, Email: xubing@xmu.edu.cn.
Jie Zha, Email: zhajie@xmu.edu.cn.
Supplementary information
The online version contains supplementary material available at 10.1038/s41419-023-06075-6.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets presented in this study are available from the corresponding authors with reasonable requests.