Open Access

NADH dehydrogenase subunit 1/4/5 promotes survival of acute myeloid leukemia by mediating specific oxidative phosphorylation

  • Authors:
    • Ye Kuang
    • Chuanmei Peng
    • Yulin Dong
    • Jia Wang
    • Fanbin Kong
    • Xiaoqing Yang
    • Yang Wang
    • Hui Gao
  • View Affiliations

  • Published online on: April 14, 2022     https://doi.org/10.3892/mmr.2022.12711
  • Article Number: 195
  • Copyright: © Kuang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Acute myeloid leukemia (AML) is a type of hematological malignancy caused by uncontrolled clonal proliferation of hematopoietic stem cells. The special energy metabolism mode of AML relying on oxidative phosphorylation is different from the traditional ‘Warburg effect’. However, its mechanism is not clear. In the present study, it was demonstrated that the mRNA expression levels of NADH dehydrogenase subunit 1, 4 and 5 (ND1, ND4 and ND5) were upregulated in AML samples from The Cancer Genome Atlas database using the limma package in the R programming language. Reverse transcription‑quantitative PCR and ELISA were used to verify the upregulation of ND1, ND4 and ND5 in clinical samples. Pan‑cancer analysis revealed that the expression of ND1 was upregulated only in AML, ND2 was upregulated only in AML and thymoma, and ND4 was upregulated only in AML and kidney chromophobe. In the present study, it was demonstrated that silencing of ND1/4/5 could inhibit the proliferation of AML cells in transplanted tumor of nude mice. Additionally, it was found that oxidative phosphorylation and energy metabolism of AML cells were decreased after silencing of ND1/4/5. In conclusion, the present study suggested that ND1/4/5 may be involved in the regulation of oxidative phosphorylation metabolism in AML as a potential cancer‑promoting factor.

Introduction

Acute myeloid leukemia (AML) is a type of hematological malignancy caused by uncontrolled clonal proliferation of hematopoietic stem cells (1,2). The World Health Organization identifies primordial cells ≥20% as the diagnostic standard of AML (3). In order to improve the accuracy of acute leukemia diagnosis, morphology, immunology, cytogenetics and molecular biology typing is commonly used, including cytomorphology, immunology, cytogenetics and molecular biology (4). The detection of specific immunophenotypic markers (such as CD13, CD33, CD34 and CD117) is important for the classification of AML (5,6). Among them, the antigens associated with good prognosis include myeloperoxidase, CD38 and CD19, and the antigens associated with poor prognosis include CD56, CD7, CD123, CD34 and CD11b. Common cytogenetic abnormalities in AML include t (15;17), 8-trisomy, t (8;21), inv (16) or t (16;16) and 11q23 rearrangements (7,8). Different karyotypes affect the clinical prognosis and have independent prognostic value (9). Molecular genetic abnormalities are also important in improving the prognosis and treatment of AML. Mutations in CCAAT enhancer binding protein α, isocitrate dehydrogenase NADP+1 and nucleophosmin 1 indicate a good prognosis, while mutations in FMS-related receptor tyrosine kinase 3, mixed lineage leukemia, ASXL transcriptional regulator 1 and PHD finger protein 6 indicate a poor prognosis (10,11). Finally, the abnormal expression of oncogenes (N-ras, K-ras and Bcl-2) and suppressor genes (RB transcriptional corepressor 1, p53 and lactate dehydrogenase) in the serum is closely associated with the occurrence of AML (12,13). In conclusion, the identification and detection of pathogenic genes is an important basis for the study of the pathogenesis, clinical treatment and prognosis of AML.

Glycolysis is the main energy supply mode for most tumor cells to maintain the high metabolic demand for proliferation, which is called the ‘Warburg effect’ (1416). Proteins related to oxidative phosphorylation are highly enriched in the protein expression profile of AML cells (17). Simultaneously, the survival of AML cells is highly dependent on mitochondrial function (18). Inhibition of mitochondrial protein synthesis and mitochondrial DNA replication in AML cells can effectively inhibit AML cell proliferation (19). Compared with most tumor cells, AML cells have their own unique metabolic mode and their energy metabolism depends more on oxidative phosphorylation, which is different from the traditional Warburg effect. However, to the to the best of the authors' knowledge, its mechanism is not clear.

The electron transport chain, also known as the respiratory chain, is a system composed of a series of electron carriers that transfer electrons from NADH or flavin adenine dinucleotide to oxygen (2022). In the process of electron transfer, free energy is gradually released. Simultaneously, most of the energy is stored in ATP molecules through oxidative phosphorylation. NADH dehydrogenase is the main entrance of the electron transport chain, catalyzing the transfer of electrons from NADH to coenzyme Q. This reaction is the first step in the electron transport chain and serves a vital role in energy metabolism (23,24). NADH dehydrogenase subunits 1/2/3/4/4 L/5/6 (ND 1/2/3/4/4 L/5/6) are involved in encoding NADH dehydrogenase. Previous studies on ND1/2/3/4/4 L/5/6 have focused more on genetic diseases, such as Leber hereditary optic neuropathy, Leigh syndrome and myocardial mitochondrial disease (25,26). However, the relationship between NADH dehydrogenase subunit (ND1/2/3/4/4L/5/6) and AML metabolism has yet to be reported.

In the present study, analysis of The Cancer Genome Atlas (TCGA) database revealed that the expression levels of ND1/4/5 in AML were higher compared with those in normal samples. Notably, a pan-cancer analysis (27) demonstrated that the expression of ND1 was upregulated only in AML, ND2 was upregulated only in AML and thymoma, and ND4 was upregulated only in AML and kidney chromophobe). It was demonstrated that silencing of ND1/4/5 could inhibit the proliferation of AML cells in cell and animal models. Furthermore, it was revealed that oxidative phosphorylation and energy metabolism of AML cells were decreased after silencing of ND1/4/5. In conclusion, the present study suggested that ND1/4/5 may be involved in the regulation of oxidative phosphorylation metabolism in AML as a potential cancer-promoting factor.

Materials and methods

Data collection

The gene expression RNA sequencing data and clinical information of 132 patients with AML from TCGA (28) were obtained from UCSC Xena (https://xenabrowser.net/datapages/?dat-aset=TCGA-LAML.htseq_counts.tsv). The dataset ID in UCSC Xena was TCGA-LAML.htseq_counts.tsv. The RNA expression data were processed by log2 (count+1) standardization and the genes with >20% missing values (value=0) were removed. Additionally, the clinical information of the patients with AML was collected from TCGA.

Clinical sample collection

Between December 2019 and December 2020, the peripheral blood of 20 healthy individuals and 20 patients with AML was obtained from Kunming Yan'An Hospital (Kunming, China). There were 10 males and 10 females, with a median age of 41 years (range, 8–79 years). The diagnostic criteria of AML patients followed FAB classification (29) and NCCN (National Comprehensive Cancer Network) AML diagnosis and treatment guidelines (30). The present study was approved by the ethics committee of Kunming Yan'An Hospital (Kunming, China; approval no. 2021-03-01). All participants provided written informed consent. The clinical information of the patients with AML was also collected (Table I).

Table I.

Clinical features of collected tissue samples from AML patients

Table I.

Clinical features of collected tissue samples from AML patients

Clinical characteristicsValue (n=20)
Age (years)
  Median41
  Mean41.8
  Range8-79
Sex (n)
  Female10
  Male10
FAB systems (n)
  M01
  M12
  M23
  M34
  M44
  M53
  M62
  M71
White blood cell (×109/l)
  Median38.3
  Mean50.4
  Range1-230
Hemoglobin (g/l, n)
  <8014
  ≥806
Platelet (×109/l, n)
  <5016
  ≥504
Ratio of bone marrow blasts (n)
  <60%9
  ≥60%11

[i] FAB classification, French-American-British classification.

Cell lines

The human acute promyelocytic leukemia cell line (HL-60) was purchased from Cobioer Biosciences Co., Ltd. HL-60 cells were cultured in Iscove's modified Dulbecco's medium (cat. no. 12440053; Thermo Fisher Scientific, Inc.) containing 20% fetal bovine serum (cat. no. 10099141; Thermo Fisher Scientific, Inc.) and 1% penicillin-streptomycin solution (cat. no. C0222; Beyotime Institute of Biotechnology). Cells were grown with 5% CO2 at 37°C. The HL-60 cells were cultured in hypoxia under 95% N2 and 5% CO2. The HL-60 cells were treated with 0.5 µM rotenone (cat. no. R8875; MilliporeSigma) or 1 µM oligomycin (cat. no. SC0366; Beyotime Biotechnology Inc.) at 37°C for 24 h. The endoribonuclease-prepared small interfering RNAs (esiRNAs) targeting human mitochondrion (MT)-ND1, MT-ND4 or MT-ND5 (cat. nos. EHU100901, EHU101821 and EHU101561; MilliporeSigma) were used to silence ND1, ND4 or ND5 in HL-60 cells. esiRNA targeting enhanced green fluorescent protein (cat. no. EHUEGFP; MilliporeSigma) was used as a control. pCMV3-C-GFPSpark (cat. no. CV026; Sino Biological, Inc.) was used as an overexpression vector to construct the pCMV3-ND1/4/5 recombinant plasmid, and pCMV3-untagged (cat. no. CV011; Sino Biological, Inc.) was used as the negative control vector. siRNA/plasmids (20 pmol) were added to 50 µl opti-MEM (cat. no. 11058021; Thermo Fisher Scientific, Inc.) medium without serum. 1 µl Lipofectamine (cat. no. A12621; Thermo Fisher Scientific, Inc.) was also added to 50 µl opti-MEM serum-free medium. The two were mixed and placed at room temperature for 20 min to form the complex. The mixture was added to the cell suspension which was cultured at 37°C and 5% CO2. After 48 h, other experimental steps were carried out. HL-60 cells stably transfected with siRNA negative control (siNC) or siRNA ND1/4/5 (siND1/4/5) were constructed. siRNA ND1: TGATCAGGGTGAGCATCAAACTCAAACTACGCCCTGATCGGCGCACTGCGAGCAGTAGCCCAAACAATCTCATATGAAGTCACCCTAGCCATCATTCTACTATCAACATTACTAATAAGTGGCTCCTTTAACCTCTCCACCCTTATCACAACACAAGAACACCTCTGATTACTCCTGCCATCATGACCCTTGGCCATAATATGATTTATCTCCACACTAGCAGAGACCAACCGAACC. siRNA ND4: CAGCCACATAGCCCTCGTAGTAACAGCCATTCTCATCCAAACCCCCTGAAGCTTCACCGGCGCAGTCATTCTCATAATCGCCCACGGACTCACATCCTCATTACTATTCTGCCTAGCAAACTCAAACTACGAACGCACTCACAGTCGCATCATAATCCTCTCTCAAGGACTTCAAACTCTACTCCCACTAATAGCTTTTTGATGACTTCTAGCAAGCCTCGCTAACCTCGCCTTACCCCCCACTATTAACCTACTGGGAGAACTCTCTGTGCTAGTAACCACGTTCTCCTGATCAAA siRNA ND5: ACATCTGTACCCACGCCTTCTTCAAAGCCATACTATTTATGTGCTCCGGGTCCATCATCCACAACCTTAACAATGAACAAGATATTCGAAAAATAGGAGGACTACTCAAAACCATACCTCTCACTTCAACCTCCCTCACCATTGGCAGCCTAGCATTAGCAGGAATACCTTTCCTCACAGGTTTCTACTCCAAAGACCACATCATCGAAACCGCAAACATATCATACACAAACGCCTGAGCCCTATCTATTACTCTCATCGCTACCTCCCTG.

Tumor xenograft model

A total of 20 BALB/c-nu mice (male, 6 weeks old, 18–20 g) were purchased from SipeiFu Biotechnology Co., Ltd. Nude mice were adaptively fed in a specific pathogen-free environment for 7 days. The study protocol was ethically approved by the Kunming Yan'An Hospital Experimental Animal Ethics Committee (Kunming, China; approval no. 2021016). The whole animal experiment process also followed the Animal Research: Reporting In Vivo Experiments guidelines (31). Mice were randomly divided into a control group (siNC) and an experimental group (siND1/4/5) with 10 mice in each group. The cell suspension (HL-60-siNC or HL-60-siND1/4/5) with 2×106 cells per mouse was injected into the right axillary skin of mice after inhalation anesthesia with 2% isoflurane (cat. no. 26675-46-7; MilliporeSigma). The induction concentration of isoflurane in mice was 4% and the maintenance concentration was 2%. The whole experimental period was 23 days starting with the receipt of nude mice. Mice were raised in a specific pathogen-free level environment with suitable temperature (26–28°C), humidity (40–60%), ventilation (10–15 times per hour) and light (10 h of light, 14 h of no light). Each mouse had an independent sterile cage to ensure sufficient activity space. The feed and drinking water of mice were also pathogen-free and was used for ad libitum feeding. The health and behavior of the mice were observed and recorded every day. Weight loss, loss of appetite, weakness, infection of body organs and excessive tumor volume in mice were regarded as the humane end points. A total of 20 mice were euthanized at the terminal point of the experiment and no mice died during the experiment. All mice were sacrificed using intraperitoneal injection of 200 mg/kg pelltobarbitalum solution (cat. no. P-010; MilliporeSigma) on the 18th day after injection. Before euthanasia, the mice were given orally administrated ibuprofen (40 mg/kg; cat. no. 14883; MilliporeSigma) with water to relieve pain. The criteria for euthanasia were respiratory and cardiac arrest and disappearance of nerve reflex. The long diameter (A) and short diameter (B) of the tumor were measured every 2 days and tumor volume was calculated according to the following formula: V = AB2/2. The tumors were removed surgically and images were captured using a camera (Alpha 7S III; Sony Corporation).

Differentially expressed mRNA (DEmRNA) screening

Isolation of protein-coding genes from the RNA expression matrix from the TCGA database was performed using the dplyr and tidyr packages (32,33) in the R programming language (version 3.6.2; http://www.r-project.org/). DEmRNAs were screened using the limma (version 3.50.1) package (34) in R3.6.2 (35) according to the threshold defined as P<0.01 and |log2foldchange|>4 (AML group vs. normal group). DEmRNAs were visualized by a heatmap using the pheatmap (version 1.0.12) package (36) in R3.6.2.

Pan-cancer analysis

The differential expression of ND1, ND4 and ND5 across cancers was analyzed using the Gene Expression Profiling Interactive Analysis (http://gepia2.cancer-pku.cn/#index) online website (37).

Reverse transcription-quantitative PCR (RT-qPCR)

Total RNA was extracted from the cell lines or tumor tissues using a Micro Scale RNA Isolation Kit (cat. no. AM1931; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. The total RNA concentration was measured by a micro ultraviolet-visible spectrophotometer (NanoDrop™ One; Thermo Fisher Scientific, Inc.). Equal amounts of RNA (2 µg) in each group were reverse transcribed into cDNA using the High Capacity cDNA Reverse Transcription Kit (cat. no. 4374967; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. The reverse transcription conditions were as follows: 25°C for 10 min; 37°C for 120 min; and 85°C for 4 min. qPCR assays were performed using a DyNAmo ColorFlash SYBR Green qPCR Kit (cat. no. F416S; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. The qPCR conditions were as follows: Pre-denaturation (95°C for 7 min, 1 cycle); denaturation and annealing (95°C for 10 sec, 60°C for 20 sec, 40 cycles); extension (95°C for 15 sec, 60°C for 15 sec, 1 cycle). The following primer sequences were used: ND1 forward, 5′-CAACATCGAATACGCCGCAG-3′ and reverse, 5′-AATCGGGGGTATGCTGTTCG-3′; ND4 forward, 5′-ACAAGCTCCATCTGCCTACG-3′ and reverse, 5′-GAAGCTTCAGGGGGTTTGGA-3′; ND5 forward, 5′-CACATCTGTACCCACGCCTT-3′ and reverse, 5′-TGCTATAGGCGCTTGTCAGG-3′; and GAPDH forward, 5′-GGAGCGAGATCCCTCCAAAAT-3′ and reverse, 5′-GGCTGTTGTCATACTTCTCATGG-3′. GAPDH was the internal reference for the RT-qPCR assay. The relative mRNA expression levels were calculated using the 2−ΔΔCq method (38).

Reactive oxygen species (ROS) accumulation

ROS accumulation was detected using a Reactive Oxygen Species Assay Kit (cat. no. CA1410; Beijing Solarbio Science & Technology Co., Ltd.). Briefly, dichlorofluorescin diacetate (DCFH-DA) was diluted with serum-free medium at a ratio of 1:1,000 to make the final concentration 10 µmol/l. The cells were fixed at room temperature with 95% ethanol for 30 min. After fixation, the cells (106 cells/ml) were suspended in diluted DCFH-DA and incubated in a cell incubator at 37°C for 20 min. The cells were washed three times with serum-free cell culture medium. The staining state of cells was directly observed under a fluorescence microscope (BX53; Olympus Corporation). Quantitative analysis was performed by flow cytometry (Model: BD Accuri C6; BD Biosciences Inc.) with an excitation wavelength of 525 nm and an emission wavelength of 488 nm. The result of the flow cytometry was analyzed using BD Accuri C6 software (version: 1.0.264.21).

ELISA

ELISA was used to detect the contents of ND1, ND4 and ND5 in peripheral blood of AML patients and healthy people according to the manufacturer's instructions of Human NADH Dehydrogenase Subunit 1, 4 and 5 ELISA kit (cat. nos. abx576646, abx536145 and abx152448; Abbexa, Ltd.). The optical density was determined at OD450 nm using an microplate photometer (Multiskan FC; Thermo Fisher Scientific, Inc.).

ATP content detection

ATP in cells and tissues was detected using an ATP content detection kit (cat. no. BC0300; Beijing Solarbio Science & Technology Co., Ltd.) according to the manufacturer's instructions. ATP content was detected at a wavelength of 340 nm by an enzyme-labeled instrument (Multiskan FC; Thermo Fisher Scientific, Inc.).

Extracellular oxygen consumption assay

Extracellular oxygen consumption in cells was detected using an Extracellular Oxygen Consumption Assay kit (cat. no. ab197243; Abcam) according to the manufacturer's instructions. The extracellular O2 consumption signal was measured at 1.5 min intervals for 90 min by an enzyme-labeled instrument (Multiskan FC; Thermo Fisher Scientific, Inc.). The excitation wavelength was 380 nm and the emission wavelength was 650 nm.

Human NADH dehydrogenase (complex I) content detection

Human NADH dehydrogenase (complex I) content in cells and mouse tumor tissues was detected using a Human NADH Dehydrogenase SimpleStep ELISA® Kit (cat. no. ab178011; Abcam) according to the manufacturer's instructions. The absorbance value was recorded at 450 nm and substituted into the standard curve to calculate the content of complex I.

Cell Counting Kit-8 (CCK-8) assay

Cell suspension was cultured in a 96-well plate (100 µl; 5,000 cells per well). The cells were cultured at 37°C with 5% CO2, and 10 µl CCK-8 solution (cat. no. CA1210; Beijing Solarbio Science & Technology Co., Ltd.) was added to each well. The cells were cultured in the incubator for 4 h. The absorbance at 450 nm was measured by an enzyme-labeled instrument (Multiskan FC; Thermo Fisher Scientific, Inc.).

Statistical analysis

The R programming language (version 3.6.2; http://www.r-project.org/) and SPSS 15.0 software (SPSS, Inc.) were used for statistical analysis. All experiments were repeated at least three times and data are presented as the mean ± SD. A two-tailed unpaired Student's t-test was used to determine the statistical significance of the experimental results. One-way ANOVA with the Least Significant Difference post hoc test was used for the comparison of multiple groups. P<0.05 was considered to indicate a statistically significant difference.

Results

Clinical features of patients with AML from TCGA

RNA sequencing data from a total of 132 patients with AML were included in the present study. The average age of the patients with AML was 53 years and only 55 patients were over 60 years old. There were 61 female patients and 71 male patients. Among them, 80 patients succumbed to AML disease and the average survival time was 418 days. The French-American-British classification of patients was as follows: M0, 12 (9.09%); M1, 32 (24.24%); M2, 32 (24.24%); M3, 14 (10.61%); M4, 27 (20.45%); M5, 12 (9.09%); M6, 2 (1.52%); and M7, 1 (0.76%). Detailed clinical information is presented in Table II.

Table II.

Clinical and demographic data from the 132 patients with acute myeloid leukemia in The Cancer Genome Atlas database.

Table II.

Clinical and demographic data from the 132 patients with acute myeloid leukemia in The Cancer Genome Atlas database.

Clinical characteristicsValue (n=132)
Mean age ± SD, years53.27±16.36
Age, ≥60 years (n)55
Sex, n (%)
  Female61 (46.21)
  Male71 (53.79)
Vital status, n (%)
  Dead80 (60.61
  Alive52 (39.39
Mean days to death ± SD418.94±387.92
Cytogenetics risk category, n (%)
  Poor27 (20.45)
  Intermediate/normal73 (55.30)
  Favorable30 (22.73)
  Unknown2 (1.52)
FAB classification, n (%)
  M012 (9.09)
  M132 (24.24)
  M232 (24.24)
  M314 (10.61)
  M427 (20.45)
  M512 (9.09)
  M62 (1.52)
  M71 (0.76)

[i] FAB classification, French-American-British classification.

DEmRNAs

A total of 284 mRNAs were differentially expressed between the normal and AML groups. Among them, 245 (86.27%) mRNAs were upregulated in the AML samples, while 39 (13.73%) were downregulated in the AML samples from TCGA database (Table SI). A heatmap was used to visualize differentially expressed genes (Fig. 1A). The mRNA expression levels of ND1, ND4 and ND5 were upregulated in the AML samples compared with the normal samples (Fig. 1B; P<0.001). Peripheral blood samples were collected from 20 healthy individuals and 20 patients with AML to verify the differential expression of ND1, ND4 and ND5. RT-qPCR results demonstrated that the mRNA expression levels of ND1, ND4 and ND5 were upregulated in the AML samples compared with in the normal samples (Fig. 1C; P<0.05). ELISA results revealed that the secretion levels of ND1, ND4 and ND5 in the serum of patients with AML were higher than those in the normal group (Fig. 1D; ***P<0.001, *P<0.05).

Differential expression analysis of ND1/4/5 in pan-cancer

The differential expression of ND1, ND4 and ND5 across cancers was analyzed using the Gene Expression Profiling Interactive Analysis online website. Compared with in normal samples, ND1 was significantly upregulated only in AML samples. ND4 was significantly upregulated in AML and thymoma samples. ND5 was significantly upregulated in AML and kidney chromophobe samples (Fig. 2; P<0.001). Thus, the upregulation of ND1, ND4 and ND5 expression is almost a unique phenomenon in AML.

Carcinogenic effect of ND1, ND4 and ND5

siRNA-mediated silencing of ND1, ND4, ND5 or ND1/4/5 in HL-60 cells resulted in decreased mRNA expression levels of these genes (Fig. 3A). Additionally, ND1, ND4 and ND5-silenced HL-60 cells showed decreased cell viability, with the triple-KD (siND1/4/5) group showing the largest decrease to 24.22±7.12% compared with the control (siNC) group (Fig. 3B). A xenograft model was used to identify the effect of ND1/4/5 on AML growth in vivo. As shown in Fig. 3C, tumors in the siND1/4/5 group grew slower than those in the negative control group. RT-qPCR was performed on all tumor tissues. RT-qPCR showed that the mRNA expression levels of ND1, ND4 and ND5 were significantly downregulated in the siND1/4/5 group compared with the siNC group (P<0.001; Fig. 3D). The volume of tumors in the siNC was larger than that of siND1/4/5 groups over time (Fig. 3E). The average volume of tumors in the siNC or siND1/4/5 group at day 18 was 1,339.33±247.53 mm3 or 1,004.91±257.25 mm3. Compared with siNC group, the average volume in siND1/4/5 group was decreased (P<0.001; Fig. 3F). The average weight of tumors in the siND1/4/5 group at 18th days was 77.21±16.72% of that in the control (siNC) group (P<0.001; Fig. 3G).

ND1/4/5 promotes oxidative phosphorylation in AML cells

Most tumors can survive and proliferate rapidly under hypoxia (39). The present study demonstrated that the viability of HL-60 cells was decreased under hypoxia; this was 81.89±3.80% of that under normoxia (Fig. 4A). Furthermore, when HL-60 cells were treated with 0.5 µM rotenone or 1 µM oligomycin (respiratory chain inhibitors) for 24 h, cell viability was decreased to 63.56±7.38% and 75.12±2.13%, respectively, compared with that in the control group (Fig. 4B). The present study explored whether ND1/4/5 overexpression could alleviate the negative effects of rotenone. After verification of the overexpression of ND1/4/5 in HL-60 cells transfected with the PCMV3-ND1/4/5 recombinant plasmid, it was found that it could not alleviate the inhibition of cell viability in AML cells caused by rotenone, an inhibitor of respiratory chain complex I (Fig. 4C). However, silencing of ND1/4/5 downregulated the expression levels of complex I in HL-60 cells and mouse tumor tissues (Fig. 4D). Next, the effect of ND1/4/5 on the energy metabolism of AML cells was assessed in terms of ATP production in HL-60 cells or tumor tissues. After silencing of ND1/4/5, ATP production in HL-60 cells or tumor tissue was decreased to 50.48±7.56% or 40.48±21.68% of the control (siNC), respectively (Fig. 4E). After silencing of ND1/4/5, the oxygen consumption of HL-60 cells was decreased significantly to 78.56±8.34% compared with that in the control (siNC) group (Fig. 4F). Similarly, after silencing of ND 1/4/5, the ROS production of HL-60 cells was decreased significantly to 38.26±2.13% of that of the control (siNC) group (Fig. 4G). In conclusion, these data suggest that the silencing of ND1/4/5 can inhibit the proliferation of AML cells and reduce the oxidative phosphorylation.

Figure 4.

ND1/4/5 promotes oxidative phosphorylation of acute myeloid leukemia cells. (A) CCK-8 assays showed that HL-60 cells had decreased viability under hypoxia conditions. Normoxia group vs. hypoxia group, ***P<0.001. (B) CCK-8 assays showed that the cell viability of HL-60 cells treated with 0.5 µM rotenone or 1 µM oligomycin was decreased, compared with that in the control group. Rotenone or oligomycin groups vs. control groups, ***P<0.001. (C) Reverse transcription-quantitative PCR assay (left) showing that the mRNA expression levels of ND1, ND4 and ND5 were increased in the HL-60 cells transfected with the ND1/4/5 overexpression vector compared with the negative control cells. OE ND1/4/5 group vs. control group, **P<0.01, ***P<0.001. The CCK-8 assay (right) showed that overexpression of ND1/4/5 could not alleviate the inhibition of HL-60 cell viability by rotenone. Rotenone group or rotenone + OE ND1/4/5 group vs. control group, **P<0.01. (D) ELISAs indicated the differences in the expression levels of complex I between the siNC and siND1/4/5 groups in HL-60 cells and tumor tissues. siNC group vs. siND1/4/5 group, ***P<0.001. (E) ATP production in the siNC group and siND1/4/5 group in HL-60 cells and tumor tissues. siNC group vs. siND1/4/5 group, **P<0.01. (F) Basal oxygen consumption in the siNC group and siND1/4/5 group in HL-60 cells. siNC group vs. siND1/4/5 group, ***P<0.001. (G) ROS production was detected using DCFH-DA probes by fluorescence microscopy (magnification, ×200, left). Flow cytometry histogram showing ROS levels in the siNC group and the siND1/4/5 group (middle). The fluorescence intensity of ROS was measured by flow cytometry (right). siNC group vs. siND1/4/5 group, ***P<0.001. CCK-8, Cell Counting Kit-8; DCFH-DA, dichlorofluorescin diacetate; ND1, NADH dehydrogenase subunit 1; ND4, NADH dehydrogenase subunit 4; ND5, NADH dehydrogenase subunit 5; OD, optical density; OE ND1/4/5, overexpression of ND1/4/5; ROS, reactive oxygen species; Rot, rotenone; si, small interfering RNA; siNC, small interfering RNA negative control.

Discussion

AML is one of the most common types of leukemia, with a 5-year overall survival rate of 40–45% and <10% in young and elderly patients, respectively (40). In the present study, it was found and verified that the expression levels of ND1/4/5 in AML were upregulated using a pan-cancer analysis of the TCGA database. A number of studies have reported the association between the ND1/4 and the development of other tumors. For example, Jiang et al (41) analyzed the ND1, ND4 and GAPDH levels in plasma and blood cells from 75 patients with thyroid cancer, which indicated that the ratio of ND1/ND4 in thyroid cancer was abnormally elevated. Liu et al (42) found a total of 39 gene mutations in human esophageal cancer cells (EC9706, TE-1 and ECA109). Among them, the mutation frequency of the mitochondria encoded cytochrome B, ND5 and ND4 genes was the highest. Therefore, the aforementioned data together with the abnormal upregulation of ND1/4/5 in AML suggest that ND1/4/5 could be considered as an important factor in the occurrence and development of AML.

The present study demonstrated that the viability of AML cell lines in vitro was decreased under respiratory chain inhibitor treatment and hypoxia. Most tumors can survive under hypoxia (43). Therefore, it is suggested that the survival of AML cells depends on oxidative phosphorylation. The present study further demonstrated that ND1/4/5 silencing inhibited the proliferation of AML cells in vitro and in a nude mouse model. Human mitochondrial DNA is involved in encoding NADH dehydrogenase (ND1/2/3/4/4L/5/6), the expression of which can affect oxidative phosphorylation (44,45). It is suggested that the special oxidative phosphorylation metabolism of AML is related to the upregulation of ND1/4/5, which maintains the survival of AML cells. Our subsequent experiments confirmed our hypothesis. ND1/4/5 silencing of AML cells directly resulted in decreased expression of complex I. After silencing ND1/4/5, ATP production, oxygen consumption and ROS production in AML cells were decreased. Combined with the aforementioned results, we hypothesized that the silencing of ND1/4/5 can inhibit the proliferation of AML cells and reduce the oxidative phosphorylation. ND1/4/5 may be a potential oncogene.

In recent years, there have been a number of scientific reports on the treatment of AML by inhibiting oxidative phosphorylation. For example, Zhang et al (46) reported that a near-infrared fluorescent dye, IR-26, exerted targeted therapeutic effects on AML cells although impaired oxidative phosphorylation. Baccelli et al (17) reported that mubritinib, a known Erb-b2 receptor tyrosine kinase 2 inhibitor, had anticarcinogenic effects through ubiquinone-dependent inhibition of complex I activity. Carter et al (47) reported that the small molecule compounds IACS-010759 and ME-344 inhibited oxidative phosphorylation by targeting the electron transfer chain, thus inhibiting the proliferation of AML cells. In the present study, the potential oncogene ND1/4/5 was identified, which preliminarily confirmed that upregulation of ND1/4/5 was associated with the oxidative phosphorylation in AML. Similar to the reported oxidative phosphorylation inhibitors, ND1/4/5 is expected to become a novel target for the treatment of AML.

Supplementary Material

Supporting Data

Acknowledgements

Not applicable.

Funding

This work was supported by The Key Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province (grant no. 2017DG004), The Joint Special Program of Applied Basic Research of Kunming Medical University Young Doctor Program (grant no. 202001AY070001-153) and The Kunming Health Research Project (grant no. 2020-21-01-111).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

YK and YW designed the experiment and wrote the manuscript. CP and HG contributed to the cell experiments. YD and XY performed the statistical and bioinformatics analysis. JW and FK performed the transplanted tumor experiment in nude mice. YK, HG and YW confirmed the authenticity of all the raw data. All authors have read and approved the final manuscript.

Ethics approval and consent to participate

The present study was approved by The Ethics Committee of The Kunming Yan'An Hospital (approval no. 2021-03-01; Kunming, China), and all patients signed informed consent forms. The study protocol was ethically approved by the Kunming Yan'An Hospital Experimental Animal Ethics Committee (approval no. 2021016; Kunming, China).

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

De Kouchkovsky I and Abdul-Hay M: Acute myeloid leukemia: A comprehensive review and 2016 update. Blood Cancer J. 6:e4412016. View Article : Google Scholar : PubMed/NCBI

2 

Thol F and Ganser A: Treatment of relapsed acute myeloid leukemia. Curr Treat Options Oncol. 21:662020. View Article : Google Scholar : PubMed/NCBI

3 

Čolović N, Denčić-Fekete M, Peruničić M and Jurišić V: Clinical characteristics and treatment outcome of hypocellular acute myeloid leukemia based on WHO classification. Indian J Hematol Blood Transfus. 36:59–63. 2020. View Article : Google Scholar : PubMed/NCBI

4 

Feng L, Li Y, Li Y, Jiang Y, Wang N, Yuan D and Fan J: Whole exome sequencing detects CHST3 mutation in patient with acute promyelocytic leukemia: A case report. Medicine (Baltimore). 97:e122142018. View Article : Google Scholar : PubMed/NCBI

5 

Chen X and Cherian S: Acute myeloid leukemia immunophenotyping by flow cytometric analysis. Clin Lab Med. 37:753–769. 2017. View Article : Google Scholar : PubMed/NCBI

6 

Gorczyca W, Sun ZY, Cronin W, Li X, Mau S and Tugulea S: Immunophenotypic pattern of myeloid populations by flow cytometry analysis. Methods Cell Biol. 103:221–266. 2011. View Article : Google Scholar : PubMed/NCBI

7 

Matsuo T, Kuriyama K, Miyazaki Y, Yoshida S, Tomonaga M, Emi N, Kobayashi T, Miyawaki S, Matsushima T, Shinagawa K, et al: Japan adult leukemia study group. The percentage of myeloperoxidase-positive blast cells is a strong independent prognostic factor in acute myeloid leukemia, even in the patients with normal karyotype. Leukemia. 17:1538–1543. 2003. View Article : Google Scholar : PubMed/NCBI

8 

Lee YJ, Huang YT, Kim SJ, Maloy M, Tamari R, Giralt SA, Papadopoulos EB, Jakubowski AA and Papanicolaou GA: Adenovirus viremia in adult CD34(+) selected hematopoietic cell transplant recipients: Low incidence and high clinical impact. Biol Blood Marrow Transplant. 22:174–178. 2016. View Article : Google Scholar : PubMed/NCBI

9 

Yang JJ, Park TS and Wan TS: Recurrent cytogenetic abnormalities in acute myeloid leukemia. Methods Mol Biol. 1541:223–245. 2017. View Article : Google Scholar : PubMed/NCBI

10 

Kishtagari A, Levine RL and Viny AD: Driver mutations in acute myeloid leukemia. Curr Opin Hematol. 27:49–57. 2020. View Article : Google Scholar : PubMed/NCBI

11 

Jurisić V, Pavlović S, Colović N, Djordjevic V, Bunjevacki V, Janković G and Colović M: Single institute study of FLT3 mutation in acute myeloid leukemia with near tetraploidy in Serbia. J Genet. 88:149–152. 2009. View Article : Google Scholar : PubMed/NCBI

12 

Jurisic V, Radenkovic S and Konjevic G: The actual role of LDH as tumor marker, biochemical and clinical aspects. Adv Exp Med Biol. 867:115–124. 2015. View Article : Google Scholar : PubMed/NCBI

13 

Kavianpour M, Ahmadzadeh A, Shahrabi S and Saki N: Significance of oncogenes and tumor suppressor genes in AML prognosis. Tumour Biol. 37:10041–10052. 2016. View Article : Google Scholar : PubMed/NCBI

14 

Liberti MV and Locasale JW: The warburg effect: How does it benefit cancer cells? Trends Biochem Sci. 41:211–218. 2016. View Article : Google Scholar : PubMed/NCBI

15 

Vaupel P, Schmidberger H and Mayer A: The warburg effect: Essential part of metabolic reprogramming and central contributor to cancer progression. Int J Radiat Biol. 95:912–919. 2019. View Article : Google Scholar : PubMed/NCBI

16 

Xu XD, Shao SX, Jiang HP, Cao YW, Wang YH, Yang XC, Wang YL, Wang XS and Niu HT: Warburg effect or reverse warburg effect? A review of cancer metabolism. Oncol Res Treat. 38:117–122. 2015. View Article : Google Scholar : PubMed/NCBI

17 

Baccelli I, Gareau Y, Lehnertz B, Gingras S, Spinella JF, Corneau S, Mayotte N, Girard S, Frechette M, Blouin-Chagnon V, et al: Mubritinib targets the electron transport chain complex I and reveals the landscape of OXPHOS dependency in acute myeloid leukemia. Cancer Cell. 36:84–99. 2019. View Article : Google Scholar : PubMed/NCBI

18 

Herst PM and Berridge MV: Cell surface oxygen consumption: A major contributor to cellular oxygen consumption in glycolytic cancer cell lines. Biochim Biophys Acta. 1767:170–177. 2007. View Article : Google Scholar : PubMed/NCBI

19 

Molina JR, Sun Y, Protopopova M, Gera S, Bandi M, Bristow C, McAfoos T, Morlacchi P, Ackroyd J, Agip ANA, et al: An inhibitor of oxidative phosphorylation exploits cancer vulnerability. Nat Med. 24:1036–1046. 2018. View Article : Google Scholar : PubMed/NCBI

20 

Toth A, Meyrat A, Stoldt S, Santiago R, Wenzel D, Jakobs S, von Ballmoos C and Ott M: Kinetic coupling of the respiratory chain with ATP synthase, but not proton gradients, drives ATP production in cristae membranes. Proc Natl Acad Sci USA. 117:2412–2421. 2020. View Article : Google Scholar : PubMed/NCBI

21 

Li T and Le A: Glutamine metabolism in cancer. Adv Exp Med Biol. 1063:13–32. 2018. View Article : Google Scholar : PubMed/NCBI

22 

van der Bliek AM, Sedensky MM and Morgan PG: Cell biology of the mitochondrion. Genetics. 207:843–871. 2017. View Article : Google Scholar : PubMed/NCBI

23 

Hardeland R: Melatonin and the electron transport chain. Cell Mol Life Sci. 74:3883–3896. 2017. View Article : Google Scholar : PubMed/NCBI

24 

Tatarková Z, Kuka S, Račay P, Lehotský J, Dobrota D, Mištuna D and Kaplán P: Effects of aging on activities of mitochondrial electron transport chain complexes and oxidative damage in rat heart. Physiol Res. 60:281–289. 2011. View Article : Google Scholar : PubMed/NCBI

25 

Ji Y, Liang M, Zhang J, Zhang M, Zhu J, Meng X, Zhang S, Gao M, Zhao F, Wei QP, et al: Mitochondrial haplotypes may modulate the phenotypic manifestation of the LHON-associated ND1 G3460A mutation in Chinese families. J Hum Genet. 59:134–40. 2014. View Article : Google Scholar : PubMed/NCBI

26 

Rezvani Z, Didari E, Arastehkani A, Ghodsinejad V, Aryani O, Kamalidehghan B and Houshmand M: Fifteen novel mutations in the mitochondrial NADH dehydrogenase subunit 1, 2, 3, 4, 4L, 5 and 6 genes from Iranian patients with Leber's hereditary optic neuropathy (LHON). Mol Biol Rep. 40:6837–6841. 2013. View Article : Google Scholar : PubMed/NCBI

27 

Nguyen L, Martens JWM, Van Hoeck A and Cuppen E: Pan-cancer landscape of homologous recombination deficiency. Nat Commun. 11:55842020. View Article : Google Scholar : PubMed/NCBI

28 

Blum A, Wang P and Zenklusen JC: SnapShot: TCGA-analyzed tumors. Cell. 173:5302018. View Article : Google Scholar : PubMed/NCBI

29 

Bennett JM, Catovsky D, Daniel MT, Flandrin G, Galton DA, Gralnick HR and Sultan C: Proposals for the classification of the acute leukaemias. French-American-British (FAB) co-operative group. Br J Haematol. 33:451–458. 1976. View Article : Google Scholar : PubMed/NCBI

30 

O'Donnell MR, Tallman MS, Abboud CN, Altman JK, Appelbaum FR, Arber DA, Attar E, Borate U, Coutre SE, Damon LE, et al: Acute myeloid leukemia, version 2.2013. J Natl Compr Canc Netw. 11:1047–1055. 2013. View Article : Google Scholar : PubMed/NCBI

31 

du Sert N, Ahluwalia A, Alam S, Avey MT, Baker M, Browne WJ, Clark A, Cuthill IC, Dirnagl U, Emerson M, et al: Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0. PLoS Biol. 18:e30004112020. View Article : Google Scholar : PubMed/NCBI

32 

Riemondy KA, Sheridan RM, Gillen A, Yu Y, Bennett CG and Hesselberth JR: valr: Reproducible genome interval analysis in R. F1000Res. 6:10252017. View Article : Google Scholar : PubMed/NCBI

33 

Mangiola S, Doyle MA and Papenfuss AT: Interfacing Seurat with the R tidy universe. Bioinformatics. 24:btab4042021. View Article : Google Scholar

34 

Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W and Smyth GK: Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43:e472015. View Article : Google Scholar : PubMed/NCBI

35 

R Core Team R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2019. https://www.R-project.org/

36 

Hu K: Become competent in generating RNA-Seq heat maps in one day for novices without prior R experience. Methods Mol Biol. 2239:269–303. 2021. View Article : Google Scholar : PubMed/NCBI

37 

Tang Z, Li C, Kang B, Gao G, Li C and Zhang Z: GEPIA: A web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 45W:W98–W102. 2017. View Article : Google Scholar : PubMed/NCBI

38 

Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI

39 

Muz B, de la Puente P, Azab F and Azab AK: The role of hypoxia in cancer progression, angiogenesis, metastasis, and resistance to therapy. Hypoxia (Auckl). 3:83–92. 2015. View Article : Google Scholar : PubMed/NCBI

40 

Hassan C, Afshinnekoo E, Li S, Wu S and Mason CE: Genetic and epigenetic heterogeneity and the impact on cancer relapse. Exp Hematol. 54:26–30. 2017. View Article : Google Scholar : PubMed/NCBI

41 

Jiang Z, Bahr T, Zhou C, Jin T, Chen H, Song S, Ikeno Y, Tian H and Bai Y: Diagnostic value of circulating cell-free mtDNA in patients with suspected thyroid cancer: ND4/ND1 ratio as a new potential plasma marker. Mitochondrion. 55:145–153. 2020. View Article : Google Scholar : PubMed/NCBI

42 

Liu ZW, Guo ZJ, Chu AL, Zhang Y, Liang B, Guo X, Chai T, Song R, Hou G and Yuan JJ: High incidence of coding gene mutations in mitochondrial DNA in esophageal cancer. Mol Med Rep. 16:8537–8541. 2017. View Article : Google Scholar : PubMed/NCBI

43 

Payen VL, Brisson L, Dewhirst MW and Sonveaux P: Common responses of tumors and wounds to hypoxia. Cancer J. 21:75–87. 2015. View Article : Google Scholar : PubMed/NCBI

44 

de Bièvre C and Dujon B: Organisation of the mitochondrial genome of Trichophyton rubrum III. DNA sequence analysis of the NADH dehydrogenase subunits 1, 2, 3, 4, 5 and the cytochrome b gene. Curr Genet. 35:30–35. 1999. View Article : Google Scholar : PubMed/NCBI

45 

Cardol P, Lapaille M, Minet P, Franck F, Matagne RF and Remacle C: ND3 and ND4L subunits of mitochondrial complex I, both nucleus encoded in Chlamydomonas reinhardtii, are required for activity and assembly of the enzyme. Eukaryot Cell. 5:1460–1467. 2006. View Article : Google Scholar : PubMed/NCBI

46 

Zhang C, Liu T, Luo P, Gao L, Liao X, Ma L, Jiang Z, Liu D, Yang Z, Jiang Q, et al: Near-infrared oxidative phosphorylation inhibitor integrates acute myeloid leukemia-targeted imaging and therapy. Sci Adv. 7:eabb61042021. View Article : Google Scholar : PubMed/NCBI

47 

Carter JL, Hege K, Kalpage HA, Edwards H, Hüttemann M, Taub JW and Ge Y: Targeting mitochondrial respiration for the treatment of acute myeloid leukemia. Biochem Pharmacol. 182:1142532020. View Article : Google Scholar : PubMed/NCBI

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June-2022
Volume 25 Issue 6

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Copy and paste a formatted citation
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Spandidos Publications style
Kuang Y, Peng C, Dong Y, Wang J, Kong F, Yang X, Wang Y and Gao H: NADH dehydrogenase subunit 1/4/5 promotes survival of acute myeloid leukemia by mediating specific oxidative phosphorylation. Mol Med Rep 25: 195, 2022.
APA
Kuang, Y., Peng, C., Dong, Y., Wang, J., Kong, F., Yang, X. ... Gao, H. (2022). NADH dehydrogenase subunit 1/4/5 promotes survival of acute myeloid leukemia by mediating specific oxidative phosphorylation. Molecular Medicine Reports, 25, 195. https://doi.org/10.3892/mmr.2022.12711
MLA
Kuang, Y., Peng, C., Dong, Y., Wang, J., Kong, F., Yang, X., Wang, Y., Gao, H."NADH dehydrogenase subunit 1/4/5 promotes survival of acute myeloid leukemia by mediating specific oxidative phosphorylation". Molecular Medicine Reports 25.6 (2022): 195.
Chicago
Kuang, Y., Peng, C., Dong, Y., Wang, J., Kong, F., Yang, X., Wang, Y., Gao, H."NADH dehydrogenase subunit 1/4/5 promotes survival of acute myeloid leukemia by mediating specific oxidative phosphorylation". Molecular Medicine Reports 25, no. 6 (2022): 195. https://doi.org/10.3892/mmr.2022.12711