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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1649314</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1649314</article-id>
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<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Eupalinolide A inhibits cancer progression and induces ferroptosis and apoptosis by targeting the AMPK/mTOR/SCD1 signalling in non-small cell lung cancer</article-title>
<alt-title alt-title-type="left-running-head">Zhang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1649314">10.3389/fphar.2025.1649314</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yonghui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<name>
<surname>Wang</surname>
<given-names>Chen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<surname>Zhang</surname>
<given-names>Xiyang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Dilong</given-names>
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<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>Ren</surname>
<given-names>Zhenni</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Haoning</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Nianhao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Zumi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<name>
<surname>Long</surname>
<given-names>Xiling</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<name>
<surname>Zhao</surname>
<given-names>Lilian</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Na</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
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<contrib contrib-type="author">
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<surname>Zhang</surname>
<given-names>Junqi</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<given-names>Feng</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<sup>2</sup>
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<surname>Pan</surname>
<given-names>Lianhong</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<surname>Wei</surname>
<given-names>Yong</given-names>
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<sup>5</sup>
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<aff id="aff1">
<label>1</label>
<institution>Chongqing Key Laboratory of Development and Utilization of Genuine Medicinal Materials in Three Gorges Reservoir Area, Chongqing Three Gorges Medical College</institution>, <city>Chongqing</city>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Chongqing Three Gorges Medical College&#x2019;s Medical-Engineering Integration Platform for Modernization of Traditional Chinese Medicine</institution>, <city>Chongqing</city>, <country country="CN">China</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Chongqing Municipal Medical Products Administration</institution>, <city>Chongqing</city>, <country country="CN">China</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Internal Medicine, Qianjiang District Traditional Chinese Medicine Hospital</institution>, <city>Chongqing</city>, <country country="CN">China</country>
</aff>
<aff id="aff5">
<label>5</label>
<institution>Key Laboratory of Intelligent Information Processing and Control, College of Electronic and Information Engineering, Chongqing Three Gorges University</institution>, <city>Chongqing</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Lianhong Pan, <email xlink:href="20220445@cqtgmc.edu.cn">20220445@cqtgmc.edu.cn</email>; Yong Wei, <email xlink:href="weiyong@hrbeu.edu.cn">weiyong@hrbeu.edu.cn</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-12">
<day>12</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1649314</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>15</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhang, Wang, Zhang, Chen, Ren, Yang, Wang, Tang, Long, Zhao, Zhou, Zhang, Li, Hu, Wang, Tang, Kang, Pan and Wei.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhang, Wang, Zhang, Chen, Ren, Yang, Wang, Tang, Long, Zhao, Zhou, Zhang, Li, Hu, Wang, Tang, Kang, Pan and Wei</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-12">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Non-small cell lung cancer (NSCLC) is a common malignancy with limited efficacy of established therapies and a poor prognosis that often entails a high financial burden. Eupatorium lindleyanum DC. and its main component Eupalinolide A (EA) are clinically used for the management of chronic tracheitis. Therefore, the aim of this study was to investigate the effects of EA on NSCLC and its underlying molecular mechanisms.</p>
</sec>
<sec>
<title>Methods</title>
<p>The effect of EA was assessed on A549 and H1299 tumour cells by flow cytometry, qRT-PCR, western blotting, TUNEL assay, molecular docking, RNA sequencing, non-target metabolomics experimental methodology, and phosphoproteomics to explore the molecular pathways and specific targets. A mouse tumour xenograft model was used to evaluate its effect <italic>in vivo</italic>.</p>
</sec>
<sec>
<title>Results</title>
<p>EA inhibited cell proliferation by arresting the cell cycle at the G2/M phase (increasing the proportion of G2-phase cells in A549 cells from 2.91% to 21.99% and their proportion in H1299 cells from 8.22% to 18.91%). It also promoted apoptosis (increasing the total apoptotic rate in A549 cells from 1.79% to 47.29% and that in H1299 cells from 4.66% to 44.43%) as well as ferroptosis (increasing ROS production by 2.46-fold in A549 cells and by 1.32-fold in H1299 cells). This mechanism was mediated by the modulation of the synthesis of unsaturated fatty acids through the downregulation of stearoyl-CoA desaturase 1 (SCD1) expression, which was reduced by 34% in A549 cells and by 48% in H1299 cells. Notably, the supplementation of oleic acid counteracted the inhibitory effect of EA on cell proliferation and migration. These effects of EA were due to the involvement of the AMPK- mTOR signalling pathway. EA treatment (25 mg/kg) markedly inhibited tumour growth <italic>in vivo</italic> in a xenograft model; both tumour weight and tumour volume decreased by more than 60% without significantly affecting the body weight of tumour-bearing mice.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>EA inhibited the proliferation and migration of NSCLC cells by the modulation of lipid metabolism through the activation of the ROS-AMPK-mTOR-SCD1 signalling pathway. Therefore, EA might be considered as a promising candidate in the development of therapeutics against NSCLC.</p>
</sec>
</abstract>
<kwd-group>
<kwd>non-small cell lung cancer (NSCLC)</kwd>
<kwd>Eupalinolide A (EA)</kwd>
<kwd>AMPK-mTORsignalling pathway</kwd>
<kwd>ferroptosis</kwd>
<kwd>stearoyl-CoA desaturase 1 (SCD1)</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJZD-K202302702, KJZD-M202402702, KJQN202302710), Chongqing Natural Science Foundation of Chongqing Science and Technology Bureau (Grant No. cstc2022ycjh-bgzxm0226, cstc2024ycjh-bgzxm0057), Natural Science Research Program of Chongqing Three Gorges Medical College (Grant No. XJ2023000704). The doctoral and postdoctoral programs at Chongqing Three Gorges Medical College. Chongqing Traditional Chinese Medicine Innovation Team Construction Project (Grant No. CXTD202303). Scientific Research Startup Fund Project for High-Level Talents of Chongqing Three Gorges Medical College (06020605001,06020605006) The Science and Technology Research Program of Chongqing Wanzhou district (Nos., wzstc20230416).</funding-statement>
</funding-group>
<counts>
<fig-count count="11"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="43"/>
<page-count count="19"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Pharmacology of Anti-Cancer Drugs</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Non-small cell lung cancer (NSCLC) is a highly aggressive malignancy worldwide with a high mortality rate (<xref ref-type="bibr" rid="B10">Hendriks et al., 2024</xref>). The current treatment strategies for lung cancer include surgical resection, radiotherapy, targeted therapy and chemotherapy but despite these multiple treatment options, patient&#x2019;s prognosis is not ideal (<xref ref-type="bibr" rid="B15">Li et al., 2023a</xref>; <xref ref-type="bibr" rid="B28">The Lancet, 2024</xref>). Chemotherapy is one of the most common treatments, although traditional chemotherapeutic drugs have common limitations, such as poor targeting, low bioavailability and tumour recurrence caused by drug resistance, which greatly affect their effectiveness (<xref ref-type="bibr" rid="B43">Zhu et al., 2021</xref>). Therefore, it is of the utmost importance to find new drugs to improve the therapeutic outcomes of NSCLC.</p>
<p>Metabolic reprogramming is one of the landmarks in the development and progression of tumours (<xref ref-type="bibr" rid="B6">Feng et al., 2024</xref>; <xref ref-type="bibr" rid="B20">Nam et al., 2024</xref>). Lipid metabolism regulates multiple biological processes in tumour cells, including the mediation of signalling transduction, the biosynthesis of cells, and the promotion of cell growth (<xref ref-type="bibr" rid="B23">Pascual et al., 2024</xref>; <xref ref-type="bibr" rid="B35">Wang et al., 2024</xref>). The <italic>de novo</italic> fatty acid synthesis is an emerging key factor in cancer malignancy that ensures the energetic and biosynthetic requirements of rapidly proliferating tumour cells (<xref ref-type="bibr" rid="B29">Tu et al., 2025</xref>). Therapies targeting lipid metabolism-related elements inhibit tumour cell proliferation and migration and tumour immune escape (<xref ref-type="bibr" rid="B24">Sena and Denmeade, 2021</xref>), thus providing a potential new therapeutic method.</p>
<p>The continuous exploration and development of traditional Chinese medicine has led to its application with herbs that effectively reduce the toxicity of radiotherapy and chemotherapy, improve the clinical prognosis of patients, and attract more and more attention in cancer treatment (<xref ref-type="bibr" rid="B22">Pan et al., 2022</xref>; <xref ref-type="bibr" rid="B39">Zhang et al., 2022a</xref>). The active extracts of Chinese herbal plants are effective in the treatment of tumours, including NSCLC. For example, erianin exerts an anti-cancer effect by inducing ferroptosis, which further inhibits lung cancer cell biological behaviour (<xref ref-type="bibr" rid="B2">Chen et al., 2020</xref>). Evodiamine suppresses NSCLC cell growth and induces apoptosis by regulating the MUC1-C/programmed death 1 (PD-L1) axis (<xref ref-type="bibr" rid="B11">Jiang et al., 2020</xref>). Nitidine chloride <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/36175965/">exerts its anti-tumour effect by inducing caspase 3/GSDME-dependent pyroptosis in lung cancer</ext-link> (<xref ref-type="bibr" rid="B38">Yu et al., 2022</xref>). Eupalinolide A (EA) is a sesquiterpene lactone constituent isolated from the traditional Chinese medicine <italic>Eupatorium lindleyanum</italic> DC. (<xref ref-type="bibr" rid="B31">Wang X. et al., 2020</xref>) with several pharmacological activities, including anti-inflammatory, antimicrobial, and anti-tumour effects (<xref ref-type="bibr" rid="B12">Jiang et al., 2024</xref>; <xref ref-type="bibr" rid="B40">Zhang et al., 2022b</xref>; <xref ref-type="bibr" rid="B16">Li et al., 2023b</xref>). However, despite its several pharmacological activities, the effect and in-depth mechanism of EA in lung cancer are lacking, with no literature reports.</p>
<p>Therefore, this study aimed to determine the effect of EA against NSCLC and its underlying molecular mechanisms as well as investigate the potential ability of EA to regulate the lipid metabolism of NSCLC cells. Our results demonstrated that EA exerted anti-NSCLC activity <italic>in vitro</italic> and <italic>in vivo</italic>. It regulated the biosynthesis of unsaturated fatty acids by reducing oleic acid expression in lung cancer cells, consequently modulating apoptosis and ferroptosis by the activation of the ROS-AMPK-mTOR- stearoyl-CoA desaturase 1 (SCD1) signalling pathway. In addition, it inhibited the proliferation and migration while promoting the apoptosis of lung cancer cells. Thus, this is the first study demonstrating that EA might be a potential drug candidate in the treatment of NSCLC, since it worked by targeting apoptosis and ferroptosis through the regulation of lipid metabolism. Hence, this work might contribute to the identification of new therapeutic targets for NSCLC therapy, potentially overcoming the resistance to traditional chemotherapeutic drugs in patients with NSCLC.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Cell culture and treatment</title>
<p>The lung adenocarcinoma epithelial cell line A549 and the human non-small cell lung carcinoma cell line H1299 were obtained from Shanghai Zhong Qiao Xin Zhou Biotechnology Co., Ltd., RPMI-1640 (Gibco, NY, NY, USA) was used to culture A549 cells and Dulbecco&#x2019;s modified Eagle&#x2019;s medium (DMEM) (Gibco, NY, NY, USA) to culture H1299 cells, both supplemented with 10% fetal bovine serum (FBS) (Cellmax, Beijing) and 1% penicillin/streptomycin (Invitrogen, CA, USA). EA was obtained from Must (A0659, Sichuan, China). A549 and H1299 cells were treated with EA according to the protocols described in each paragraph.</p>
</sec>
<sec id="s2-2">
<title>Cell morphology</title>
<p>A549 and H1299 cells were cultured in 6-well plates and treated with EA (10, 20, and 30&#xa0;&#x3bc;M) for 24&#xa0;h. Images were taken using a phase-contrast microscope (Olympus, Tokyo, Japan).</p>
</sec>
<sec id="s2-3">
<title>Cell viability assay</title>
<p>The viability of A549 and H1299 treated with EA was assessed using Cell Counting Kit-8 (CCK8) assay (Suzhou, China). A549 and H1299 cell lines were seeded and incubated until reaching a confluence of approximately 90%. Next, cells were seeded into 96-well plates at a concentration of 5 &#xd7; 10<sup>3</sup> cell/well and treated with EA (10, 20, or 30&#xa0;&#x3bc;M) for 48&#xa0;h. CCK8 (10&#xa0;&#x3bc;L) was added into each well, and the cells were incubated at 37&#xa0;&#xb0;C for 1.5&#xa0;h. The absorbance was measured at 450&#xa0;nm and recorded.</p>
</sec>
<sec id="s2-4">
<title>EdU assay</title>
<p>Cells were seeded into a 6-well plate and treated with EA. Then EdU (10&#xa0;&#x3bc;M) wasadded into each well and the cells were incubated for 2&#xa0;h to measure their proliferation. Cells were fixed with 4% paraformaldehyde for 0.5&#xa0;h and 0.1% Triton X-100 for 0.5&#xa0;h to enhance their accessibility for further analysis. Cells were washed, endogenous peroxidase blocking solution was added and the cells were incubated for 0.5&#xa0;h. Next Click reaction solution was added and the cells were incubated for 0.5&#xa0;h. Streptavidin-HRP working solution and 3,3&#x2032;-diaminobenzidine tetrahydrochloride (DAB) chromogenic solution were added into each well and images were taken under an ordinary optical microscope. EdU detection was carried out using the BeyoClick&#x2122; EdU Cell Proliferation Kit containing DAB (C0085S, Beyotime, China).</p>
</sec>
<sec id="s2-5">
<title>Tumour xenografts</title>
<p>Animal experiments were approved by the Ethics Committees of Chongqing Three Gorges Medical College (SXYZ-A-2501-0001) and performed accordingly. Four-week-old nude mice were purchased from the laboratory animal research centre of Chongqing Medical University and subjected to acclimatization for 1&#xa0;week in an SPF environment. They were randomly divided into three groups: A549 cells were treated with dimethylsulfoxide (DMSO) or EA (25 and 50&#xa0;mg/kg), cell concentration was adjusted to 1 &#xd7; 10<sup>6</sup> in 100&#xa0;&#x3bc;L matrigel (Corning, USA) and they were injected into both armpits of the mice. Tumours became visible after 1&#xa0;week. Theexperiment index of nude mice was measured and recorded every 3&#xa0;days, including weight and tumour volume. Tumour volume was calculated as follows: volume &#x3d; tumour length &#xd7; width<sup>2</sup> &#xd7; &#x3c0;/6 (<xref ref-type="bibr" rid="B21">Pan et al., 2021</xref>). Mice were euthanized and tumours were collected for further analysis.</p>
</sec>
<sec id="s2-6">
<title>Cell migration analysis</title>
<p>Cells were cultured in 6-well plates until reaching 70% confluence and a scratch was made using a sterile pipette tip along a horizontal line across the centre of the well to generate a cell-free gap. Cells were gently washed using phosphate-buffered saline (PBS) to remove cell debris and medium containing appropriate supplements was added. Then EA (0, 10, 20, or 30&#xa0;&#x3bc;M) was added and the cells were incubated for 24&#xa0;h. Images were taken at time zero (T0) and after 6, 24 and 48&#xa0;h to assess wound closure.</p>
<p>Migration was also assessed by transwell assay. A transwell 24-well plate (8&#xa0;&#x3bc;m, Corning, USA) was used to create two chambers, 1 &#xd7; 10<sup>4</sup> cells were dissolved in medium containing 1% serum and seeded into the upper chamber, while medium containing 10% FBS was placed in the lower chamber and used as a chemoattractant compound. Then, EA (0, 10, 20, or 30&#xa0;&#x3bc;M) was added to the cells, which were incubated for 24&#xa0;h. Cells in the upper chamber were washed 3 times with PBS, wiped using a cotton swab, fixed with 4% paraformaldehyde, stained with 0.5% crystal violet, washed with PBS and dried. Images were taken under a microscope (Olympus, Japan).</p>
</sec>
<sec id="s2-7">
<title>Western blot</title>
<p>Cells were lysed using RIPA buffer (Beyotime, China). The lysate was heated at 100&#xa0;&#xb0;C for 5&#xa0;min. Proteins were separated by 10% SDS-PAGE gel, ensuring high resolution and accuracy. Then, proteins were transferred onto a polyvinylidene difluoride membrane. The membrane was incubated in 5% milk for 2&#xa0;h to block non-specific binding sites. The membrane was incubated with the following primary antibodies at 4&#xa0;&#xb0;C for 12&#xa0;h: CDC25C (Proteintech; 1:1,000; cat. no. 66912-1), cyclin B1 (Proteintech; 1:1,000; cat. no. 67686-1), BAX (Proteintech; 1:1,000; cat. no. 60267), SCD-1 (Proteintech; 1:1,000; cat. no. 28678), GPX4 (Abcam; 1:1,000; cat. no. ab125066), HO-1 (Abcam; 1:1,000; cat. no. ab13248), SLC7A11 (CST; 1:1,000; cat. no. 12691S), PTGS2/COX2 (Abways; 1:1,000; cat. no. CY8852), BCL2 (Abways; 1:1,000; cat. no. CY5032), p-AMPK (Abclonal; 1:1,000; cat. no. APO871), AMPK (Abclonal; 1:1,000; cat. no. A1229), p-mTOR (CST; 1:1,000; cat. no. 5536T), mTOR (Immunoway; 1:1,000; cat. no. YT2913), and &#x3b2;-actin (Zhongshan Goldenbridge Bio; 1:1,000; cat. no. TA-09). Next, the membrane was incubated with HRP-conjugated secondary antibodies (A0216 and A0208, Beyotime; 1:1,000) for 2&#xa0;h at 37 acy. inally, proteins were visualized using an ECL system (Biorad, USA). The expression of CDC25C, cyclin B1, BAX, SCD-1, GPX4, HO-1, SLC7A11 and BCL2 was normalized to t. no. T.</p>
</sec>
<sec id="s2-8">
<title>Transcriptome sequencing experiment</title>
<p>Cells were treated with DMSO or EA (20&#xa0;&#x3bc;M), subsequently harvested in RNA extraction Reagent (Tiangen, Beijing) and stored at &#x2212;80&#xa0;&#xb0;C, then delivered to Shanghai Bioroot Biological Technology Co., Ltd., for transcriptome sequencing analysis using the Illumina sequencing platform. Raw sequencing data were subjected to a rigorous filtering, and filtered sequences were mapped to the human reference genome. The expression of individual genes was quantified based on the alignment results, enabling the performance of subsequent differential expression analysis, functional enrichment analysis, and clustering analysis on the samples. This comprehensive workflow provided a robust framework for investigating transcriptional changes in NSCLC cell lines treated with EA or DMSO.</p>
</sec>
<sec id="s2-9">
<title>Non-target metabolomics experimental methodology</title>
<p>Cells were seeded into a 6-well plate and treated with DMSO or EA (20&#xa0;&#x3bc;M) for 24&#xa0;h. Next, the culture medium was removed, and the cells were washed twice with an appropriate amount of pre-cooled PBS. Cells were collected and stored in liquid nitrogen or at &#x2212;80&#xa0;&#xb0;C refrigerator and subsequently delivered to Shanghai Bioroot Biological Technology Co., Ltd., for metabolic analysis. Metabolite extraction and LC-MS/MS detection were performed, along with ProteoWizard and R Programming Language based on Various forms (X) of chromatography mass spectrometry (XCMS), for peak detection, extraction, alignment, and integration. Ten samples were collected from each group. <xref ref-type="fig" rid="F6">Figure 6A</xref> shows the metabolomics experimental method flow chart. Cells were collected from cell culture flasks according to the requirements of metabolomics for collecting samples. LC-MS/MS Orbitrap mass spectrometer or tandem Orbitrap mass spectrometer was used to detect metabolites in samples by retention with metabolites in the local database. Metabolomics usually used strict OPLS-DA VIP &#x3e;1 and <italic>P</italic> &#x3c; 0.05 as the screening criteria for significant differential metabolites.</p>
</sec>
<sec id="s2-10">
<title>Flow cytometry analysis</title>
<p>Cell cycle assay was performed on cells treated with DMSO or EA for 24&#xa0;h and subsequently harvested for flow cytometry analysis. Cells were washed 3 times with sterile PBS, and treated with 75% ethanol at 4&#xa0;&#xb0;C overnight to ensure proper preservation. Post-fixation was performed by washing the cells 3 times with pre-cooled PBS to remove residual ethanol. Subsequently, the cells were incubated with propidium iodide (PI) and RNaseA (PI: RNaseA &#x3d; 9:1) in a 500&#xa0;&#x3bc;L mixture of PBS for 1&#xa0;h to perform the DNA staining and RNA digestion. Finally, cells were analysed using the DxFLEX flow cytometer (Beckman, Germany).</p>
<p>Cell apoptosis assay was performed on cells treated with DMSO or EA for 48&#xa0;h, collected and rinsed twice with sterile PBS. Subsequently, cells were resuspended in binding buffer and Annexin V-FITC (FAK015, NeoBioscience, Beijing) was added to bind with the cell membrane for 0.5&#xa0;h. Next, PI was added to bind the nuclear DNA, and the cells were analysed using the DxFLEX flow cytometer (Beckman, Germany).</p>
<p>ROS were detected in cells treated with DMSO or EA for 48&#xa0;h, collected and resuspended in diluted DCFH-DA solution. Then, cells were incubated at 37 ding buffer and Annexin V-FITC (FAK015, NeoBioscience, Beijing) and analysed using the DxFLEX flow cytometer (Beckman, Germany).</p>
</sec>
<sec id="s2-11">
<title>Tunel assay</title>
<p>A549 and H1299 cells were seeded into 6-well plate and treated with DMSO or EA 10&#xa0;&#x3bc;M or 20&#xa0;&#x3bc;M for 48&#xa0;h. Cells were fixed with 4% paraformaldehyde and permeabilized with 0.1% Triton X-100. TUNEL reagent (Dalian Bergolin Biotechnology Co., Ltd.) was added and the cells were incubated at 37&#xa0;&#xb0;C for 2&#xa0;h. DAPI (100&#xa0;&#x3bc;L) wasadded into each well and the cells were incubated for 20&#xa0;min. Slides were analysed under a microscope (Olympus, Japan).</p>
</sec>
<sec id="s2-12">
<title>Transmission electron microscopy (TEM)</title>
<p>Cells were treated with DMSO or EAand fixed with 2.5% glutaraldehyde solution at 4&#xa0;&#xb0;C overnight. The fixative was removed, cells were washed 3 times with pre-cooled PBS and 1% osmic acid solution was added for further fixation. Samples were dehydrated using ethanol solutions (30%, 50%, 70%, 80%, 90% and 100%), 20&#xa0;min per solution, then dehydrated with pure acetone for 0.5&#xa0;h. Samples were treated with different proportions of liquids (acetone:resin &#x3d; 3:1, acetone:resin &#x3d; 1:1, acetone:resin &#x3d; 1:1), 3&#xa0;h per solution. Finally, they were treated with 100% resin for 12&#xa0;h. Samples were placed in a mold and subjected to gradient heating (35&#xa0;&#xb0;C, 60&#xa0;&#xb0;C and 80&#xa0;&#xb0;C an 5&#xa0;h each step, resulting in well-embedded samples. After coarse trimming, samples were cut into 80&#xa0;nm-thick sections using an ultrathin microtome (Leica, Germany). Sections were stained with acetic acid dioxy dye solution (15&#xa0;min) and lead citrate (5&#xa0;min), dried, and then ready for microscopic observation.</p>
</sec>
<sec id="s2-13">
<title>Fe<sup>2&#x2b;</sup> fluorescence assay</title>
<p>Cells were treated with DMSO or EA for 48&#xa0;h, washed 3 times with serum-free medium, 1&#xa0;&#x3bc;M FerroOrange (Dojindo, Japan) working solution was added into each well and cells were incubated at 37&#xa0;&#xb0;C for 0.5&#xa0;h. Finally, samples were observed under a fluorescence microscope (Olympus, Japan).</p>
</sec>
<sec id="s2-14">
<title>Gene expression analysis</title>
<p>Cells were treated with DMSO or EA for 48&#xa0;h, and total RNA was extracted using the TRnaZol RNA Kit (New Cell and Molecular Biotech Co., Ltd., Suzhou). Five mg of this isolated total RNA was used as a template to perform cDNA synthesis using the All-In-One 5X RT MasterMix (Applied Biological Materials Inc., Suzhou, China), following the manufacturer&#x2019;s protocol. Subsequently, qRT-PCR was performed on the ABI 7500 Real-Time PCR Instrument (ABI, USA), using the BlasTaqTM 2X qPCR MasterMix (Applied Biological Materials Inc., Suzhou) to ensure the accurate and sensitive detection of gene expression. The expression of target mRNAs was normalized against &#x3b2;-actin mRNA expression in the same sample, providing a reliable internal control for quantitative analysis. The primers used are listed in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Primer sequences for real-time qRT-PCR.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Gene name</th>
<th align="center">Forward primer</th>
<th align="center">Reverse primer</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">
<italic>GPX4</italic>
</td>
<td align="left">GAG&#x200b;GCA&#x200b;AGA&#x200b;CCG&#x200b;AAG&#x200b;TAA&#x200b;ACT&#x200b;AC</td>
<td align="left">CCG&#x200b;AAC&#x200b;TGG&#x200b;TTA&#x200b;CAC&#x200b;GGG&#x200b;AA</td>
</tr>
<tr>
<td align="center">
<italic>HMOX1</italic>
</td>
<td align="left">CAG&#x200b;TGT&#x200b;TTG&#x200b;GAC&#x200b;GGA&#x200b;ACA&#x200b;GAT</td>
<td align="left">GGT&#x200b;TGG&#x200b;CAA&#x200b;GAA&#x200b;GGA&#x200b;GCT&#x200b;AAC</td>
</tr>
<tr>
<td align="center">
<italic>SLC7A11</italic>
</td>
<td align="left">TTG&#x200b;CTG&#x200b;GGC&#x200b;TGA&#x200b;TTT&#x200b;ATC&#x200b;TTC</td>
<td align="left">GGG&#x200b;TCC&#x200b;GAA&#x200b;TAG&#x200b;AGG&#x200b;GAA&#x200b;AG</td>
</tr>
<tr>
<td align="center">
<italic>PTGS2</italic>
</td>
<td align="left">CTG&#x200b;GCG&#x200b;CTC&#x200b;AGC&#x200b;CAT&#x200b;ACA&#x200b;G</td>
<td align="left">CGC&#x200b;ACT&#x200b;TAT&#x200b;ACT&#x200b;GGT&#x200b;CAA&#x200b;ATC&#x200b;CC</td>
</tr>
<tr>
<td align="center">
<italic>CDC25C</italic>
</td>
<td align="left">TCT&#x200b;TGC&#x200b;TCA&#x200b;GAG&#x200b;GCC&#x200b;GTA&#x200b;AC</td>
<td align="left">GCA&#x200b;ACG&#x200b;TTT&#x200b;TGG&#x200b;GGT&#x200b;TCC&#x200b;TC</td>
</tr>
<tr>
<td align="center">
<italic>Cyclin B1</italic>
</td>
<td align="left">GCA&#x200b;CTT&#x200b;CCT&#x200b;TCG&#x200b;GAG&#x200b;AGC&#x200b;AT</td>
<td align="left">TGT&#x200b;TCT&#x200b;TGA&#x200b;CAG&#x200b;TCC&#x200b;ATT&#x200b;CAC&#x200b;CA</td>
</tr>
<tr>
<td align="center">
<italic>SCD1</italic>
</td>
<td align="left">TCC&#x200b;GAC&#x200b;CTA&#x200b;AGA&#x200b;GCC&#x200b;GAG&#x200b;AA</td>
<td align="left">TGG&#x200b;GCA&#x200b;GCA&#x200b;CTA&#x200b;TTC&#x200b;ACC&#x200b;AG</td>
</tr>
<tr>
<td align="center">
<italic>&#x3b2;-actin</italic>
</td>
<td align="left">GCCTCGCCTTTGCCGAT</td>
<td align="left">AGG&#x200b;TAG&#x200b;TCA&#x200b;GTC&#x200b;AGG&#x200b;TCC&#x200b;CG</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-15">
<title>Molecular docking</title>
<p>Molecular Operating Environment software was used to dock EA (target molecule) with SCD1 protein and the binding free energy was calculated. The docking results were further analysed using the Discovery Studio 4.5 Client software to study the intermolecular interaction abilities.</p>
</sec>
<sec id="s2-16">
<title>Plasmid construction and transfection</title>
<p>Cells were transfected with the expression vector (ov-SCD1) using translipofectamine (Beyotime, Shanghai). Briefly, cells were cultured and a total of 125&#xa0;&#xb5;L DMEM with 2.5&#xa0;&#xb5;g plasmid DNA was added into each sample, then added lipo8000 (4&#xa0;&#x3bc;L; Beyotime, Shanghai) was added to each sample, and cultivate for 24 in the incubator. Cells were collected and qRT-PCR was performed to detect SCD1.</p>
</sec>
<sec id="s2-17">
<title>Phosphorylation array</title>
<p>Cells were treated with DMSO or EA for 24&#xa0;h, and the level of phospho kinases was determined using the Phosphorylation Array C55 kit (RayBiothech, China) according to the manufacturer&#x2019;s protocol.</p>
</sec>
<sec id="s2-18">
<title>Histological analysis</title>
<p>Tumours were harvested and fixed in 4% paraformaldehyde for 2&#xa0;days to preserve the tissue architecture. Then, the tumour was embedded in paraffin and cut into consecutive 8&#xa0;mm-thick slides using a microtome. The slides were stained with haematoxylin and eosin (H&#x26;E), and cell morphology and tissue structure were observed under the microscope (Olympus, Japan).</p>
</sec>
<sec id="s2-19">
<title>Statistical analysis</title>
<p>Statistical analysis was performed using Graphpad 8.0. Two groups were compared using Student&#x2019;s t-test. Results were presented as mean &#xb1; S. D of at least three independent experiments. <italic>P</italic> &#x3c; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>EA inhibits A549 and H1299 cell viability <italic>in vitro</italic>
</title>
<p>Cell treatment with various concentrations of EA and 30&#xa0;&#x3bc;M cisplatin for 24&#xa0;h led to a remarkable morphological alteration and a dose-dependent reduction in cell number compared to the cells treated with DMSO as control (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>). EA treatment and cisplatin significantly reduced cell proliferation, as shown in <xref ref-type="fig" rid="F1">Figure 1C</xref>. This outcome underlined the potent suppressive effect of EA on NSCLC cell proliferation. EdU staining confirmed the above results, since a remarkable decrease in the proportion of EdU-positive cells was observed in the EA-treated group (<xref ref-type="fig" rid="F1">Figures 1D,E</xref>), indicatinga substantial inhibition of NSCLC cell proliferation. Collectively, our comprehensive findings demonstrated that EA exerted a potent inhibitory effect on NSCLC proliferation <italic>in vitro</italic>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>EA suppresses tumor growth in the human non-small cell lung cancer cells. <bold>(A)</bold> The morphology of A549 and H1299 cells, scale bar &#x3d; 100&#xa0;&#x3bc;m. <bold>(B)</bold> Relative numbers of A549 and H1299 cells. Cell numbers of DMSO-treated group were regarded as 100% n &#x3d; 5. <bold>(C)</bold> Viability of A549 and H1299 cells n &#x3d; 6. <bold>(D,E)</bold> EdU staining of A549 and H1299 cells after EA and CDDP treatment for 24&#xa0;h and quantitation of the percentage of EdU-positive cells. Scar bar &#x3d; 100&#xa0;&#x3bc;m n &#x3d; 5. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 compared with the Control group.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g001.tif">
<alt-text content-type="machine-generated">Microscopic images and bar graphs depict the effects of various concentrations of EA and CDDP on A549 and H1299 cell lines. Figures A and D show cell density under different treatments, with noticeable variations in cell confluence. Figures B, C, and E present bar graphs illustrating the proliferation rate, cell viability, and relative Edu-positive cell percentage, respectively, for both cell lines. Statistical significance is indicated with asterisks, showing a marked impact of EA and CDDP treatments.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2">
<title>EA suppresses cell migration in A549 and H1299 cells by modulating epithelial-mesenchymal transition (EMT)</title>
<p>In this study, scratch assay and transwell migration assay were performed to assess the effect of EA on A549 and H1299 cells, resulting in consistent outcomes in both assays. Our findings, demonstrated the inhibitory effect of EA on cell migration, as evidenced by the remarkable differences compared to the DMSO-treated controls (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). The transwell migration assay further confirmed the above results, revealing a concentration-dependent reduction in the migration of cells after EA treatment (<xref ref-type="fig" rid="F2">Figures 2C,D</xref>). This suppression was accompanied by an alteration in the expression of key EMT markers. Indeed, an upregulation of E-cadherin expression in an EA concentration and time-dependent manner was observed, whereas the expression of vimentin was inhibited (<xref ref-type="fig" rid="F2">Figures 2E,F</xref>). These alterations collectively indicated that EA effectively reversed the EMT process in A549 and H1299 cells.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>EA inhibits cell migration in human non-small cell lung cancer cells. <bold>(A)</bold> The migration by wound-healing assay of A549 and H1299 cells after treating with DMSO, 10, 20, 30&#xa0;&#x3bc;M&#xa0;EA and CDDP for the indicated time, Scale bar &#x3d; 100&#xa0;&#x3bc;m. <bold>(B)</bold> The effect of EA on the wound closure in A549 and H1299 cells n &#x3d; 5. <bold>(C)</bold> Transwell migration assays of A549 and H1299 cells treated with DMSO, 10, 20, 30&#xa0;&#x3bc;M&#xa0;EA and CDDP for 24&#xa0;h n &#x3d; 5. <bold>(D)</bold> The statistical analysis has been presented in histograms, and the migration rates were normalised by the proliferation rate. <bold>(E,F)</bold> Western blot analysis of the E-Cadherin and Vimentin protein levels at 24&#xa0;h in A549 and H1299 cells respectively n &#x3d; 3. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 compared with the Con group.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g002.tif">
<alt-text content-type="machine-generated">A composite image displays experimental results on cell behavior. Panel A shows wound healing assays for A549 and H1299 cells treated with various concentrations of EA and CDDP over different time intervals. Panel B presents bar graphs of wound closure percentages at 6, 24, and 48 hours for both cell lines. Panel C features cell migration assays under similar conditions. Panel D contains bar graphs depicting cell migration rates. Panel E illustrates Western blot results of E-cadherin and vimentin expression in both cell lines. Panel F shows bar graphs of the relative protein levels, highlighting significant differences.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<title>EA regulates the differentially expressed genes and pathway enrichment in A549 and H1299 cells</title>
<p>Transcriptomics analysis was performed to explore the underlying mechanisms regulating the effect of EA. The results on A549 cells showed that 404 genes were upregulated and 394 were downregulated. In contrast, the H1299 cell line showed 3,613 upregulated genes and 3,996 downregulated genes after the treatment with EA (<xref ref-type="fig" rid="F3">Figure 3A</xref>). Cluster analysis was performed to understand the classification of gene expression patterns, revealing the genes that increased or decreased in response to EA. Upregulated genes are shown in red, while downregulated genes are shown in green (<xref ref-type="fig" rid="F3">Figure 3B</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>EA induces cell cycle arrest at G2/M phase in human non-small cell lung cancer cells. <bold>(A)</bold> Volcano plot of differentially expressed genes after EA treatment. <bold>(B)</bold> Cluster analysis of differentially expressed genes after EA treatment. <bold>(C)</bold> KEEG analysis of genes in A549 and H1299 cells. <bold>(D)</bold> Cell cycle of A549 and H1299 cells analyzed by flow cytometry. <bold>(E)</bold> Percentage of A549 and H1299 cells in different phases n &#x3d; 3. <bold>(F)</bold> Representative Western blots of cell cycle-related proteins, CDC25C and Cyclin B1. <bold>(G)</bold> Densitometry of Western blots in panel n &#x3d; 6. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 compared with the Control group.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g003.tif">
<alt-text content-type="machine-generated">A collection of scientific graphs and charts analyzing the effects of a treatment on cell lines A549 and H1299. Panel A shows volcano plots comparing control (CTL) and treatment (EA) groups, highlighting upregulated and downregulated genes. Panel B displays heatmaps of gene expression profiles across different groups. Panel C provides bar graphs indicating the enriched biological processes in each cell line. Panel D includes histograms of cell cycle phase distributions under various treatments. Panel E presents bar charts quantifying the percentage of cells in different cell cycle phases. Panel F shows Western blots for proteins CDC25C and Cyclin B1. Panel G offers a bar chart of their relative protein levels.</alt-text>
</graphic>
</fig>
<p>The functional implications of these transcriptional shifts were investigated using KEGG enrichment analysis to discover the most relevant pathways (<xref ref-type="fig" rid="F3">Figure 3C</xref>). Among the many pathways involved, our attention was focused on cell cycle, apoptosis, and ferroptosis, pathways, thus suggesting the potential of EA to regulate cell fate through these critical signalling pathways.</p>
<p>As regards cell cycle, our results showed an arrest in the G2/M phase after EA treatment (<xref ref-type="fig" rid="F3">Figures 3D,E</xref>). Thus, the expression of CDC25C and cyclin B1, which are two proteins that regulate the cell cycle, was further assessed to analyse the mechanism regulating the arrest of the cell cycle. Our results confirmed that these proteins were indeed significantly decreased by EA, adding another evidence on the effect of EA against lung cancer (<xref ref-type="fig" rid="F3">Figures 3F,G</xref>).</p>
</sec>
<sec id="s3-4">
<title>EA induces apoptosis in A549 and H1299 cells</title>
<p>A clear induction of apoptosis was observed in both cells by flow cytometry (<xref ref-type="fig" rid="F4">Figures 4A,B</xref>). Our findings were corroborated by TUNEL assay on A549 and H1299 cells under the same EA treatment. Indeed, TUNEL staining demonstrated a concentration-dependent increase of apoptotic cells under EA treatment (<xref ref-type="fig" rid="F4">Figures 4C,D</xref>). Next, the expression of the key apoptotic regulators Bax and Bcl-2 was assessed to unravel the molecular pathways mediating EA-induced apoptosis. Our results revealed a significant downregulation of Bcl-2 and an upregulation of Bax in both A549 and H1299 cells after EA treatment, as compared to untreated controls (<xref ref-type="fig" rid="F4">Figures 4E,F</xref>). These findings collectively suggested that EA exerted its apoptotic effects in NSCLC cells by regulating the pro and anti-apoptotic factors, thereby promoting programmed cell death.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>EA induces cell apoptosis in human non-small cell lung cancer cells. <bold>(A)</bold> Apoptosis analyzed by Annexin V/PI staining. <bold>(B)</bold> Apoptotic rates of A549 and H1299 cells n &#x3d; 6. <bold>(C)</bold> The apoptosis-positive cells of A549 and H1299 cells after EA treatment for 24&#xa0;h by TUNEL staining (&#xd7;100). <bold>(D)</bold> Quantification of TUNEL-positive cells in <bold>(C)</bold> n &#x3d; 5. <bold>(E)</bold> Representative Western blots of cell apoptosis proteins, Bax and Bcl-2. <bold>(F)</bold> Densitometry of Western blots in panel. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 compared with the Control group.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g004.tif">
<alt-text content-type="machine-generated">Flow cytometry and Western blot analysis depict the effects of EA on apoptosis in A549 and H1299 lung cancer cells. Graphs show increased apoptosis with higher EA concentrations. Immunofluorescence with dUTP and DAPI indicates increased TUNEL positivity correlating with EA dose. Western blots reveal increased Bax and decreased Bcl-2 protein levels, quantified in bar graphs, suggesting apoptosis induction. Statistical significance is indicated by asterisks.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-5">
<title>EA induces the ferroptosis of A549 and H1299 cells</title>
<p>The transcriptomefindings related to ferroptosisin A549 and H1299 cells under EA treatment were furtherconfirmed by the examination of their ultrastructure using TEM. TEM images revealed distinct morphological alterations in EA-treated cells, showing a reduced mitochondrial size associated with an increased membrane density, hallmarks indicative of ferroptosis (<xref ref-type="fig" rid="F5">Figure 5A</xref>). These findings were corroborated by ROS generation in both A549 and H1299 cells following EA exposure using the DFCH-DA probe. Our results demonstrated a significant concentration-dependent increase in ROS levels after EA treatment (<xref ref-type="fig" rid="F5">Figures 5B,C</xref>). Moreover, fluorescence microscopy analysis revealed an accumulation of Fe<sup>2&#x2b;</sup> ions in both A549 and H1299 cells, further supporting the induction of ferroptosis (<xref ref-type="fig" rid="F5">Figure 5D</xref>). Subsequently, the expression of ferroptosis-associated genes revealed that EA treatment induced a significant upregulation of HMOX1 and PTGS2 genes, while it downregulated SLC7A11 and GPX4, key regulators that counteracted ferroptosis (<xref ref-type="fig" rid="F5">Figure 5E</xref>). These results were confirmed at a protein level, showing the same results of protein expression of the above genes (<xref ref-type="fig" rid="F5">Figures 5F,G</xref>), confirming the above discovery. Collectively, these results strongly suggested that EA induced ferroptosis in A549 and H1299 cells.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>EA inhibits the proliferation of non-small cell lung cancer cells by regulating ferroptosis. <bold>(A)</bold> Electron microscopy observation of mitochondrial morphology in A549 and H1299 cells after EA treatment. <bold>(B,C)</bold> Flow cytometry detection of reactive oxygen species (ROS) in A549 and H1299 cells treated with different concentrations of EA n &#x3d; 3. <bold>(D)</bold> Fe<sup>2&#x2b;</sup> expression in A549 and H1299 cells detected by immunofluorescence after EA administration. Scale bar &#x3d; 100&#xa0;&#x3bc;m. <bold>(E)</bold> The expression levels of ferroptosis-related genes in A549 and H1299 cells treated with different concentrations of EA, as detected by qRT-PCR n &#x3d; 3. <bold>(F)</bold> Western blot was used to detect the changes of protein expression in A549 and H1299 cells treated with different concentrations of EA n &#x3d; 6. <bold>(G)</bold> Densitometry of Western blots in panel. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 compared with the Control group.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g005.tif">
<alt-text content-type="machine-generated">Panel A shows electron microscopy images of A549 and H1299 cells, both with control (CTL) and EA treatment, depicting mitochondrial changes. Panel B displays flow cytometry histograms for DCFH-DA fluorescence, indicating oxidative stress levels. Panel C is a bar graph showing mean FITC-A values for oxidative stress in A549 and H1299 cells. Panel D exhibits fluorescence images of A549 and H1299 cells under control and EA conditions. Panel E presents a bar graph of gene expression levels normalized to &#x3B2;-actin. Panel F illustrates Western blot results showing protein expression levels for various targets. Panel G includes bar graphs summarizing protein expression levels.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-6">
<title>EA modulates the lipid metabolism pathways in A549 cells</title>
<p>The differential metabolites were subjected to enrichment analysis to obtain an enrichment pathway map. The data were subjected to PCA and OPLS-DA analysis. PCA method was used to detect the overall distribution trend and the difference between groups. PCA scores of positive and negative ion modes are shown in <xref ref-type="fig" rid="F6">Figures 6B,C</xref>, and OPLS-DA score plot is shown in <xref ref-type="fig" rid="F6">Figures 6D,E</xref>. The permutation test was further used to test the model to avoid the over-fitting and ensure the validity of the model. <xref ref-type="fig" rid="F6">Figures 6F,G</xref> showed the permutation test diagram of the OPLS-DA model in the sample comparison group. R2 and Q2 values in the model were decreased with the decreasing of the permutation retention, indicating no overfitting phenomenon and the robustness of the model. <xref ref-type="sec" rid="s12">Supplementary Figures 2A,B</xref> show the significant expression of different metabolites. The overall changes of KEGG metabolic pathways were analysed to rank the top ten signalling pathways, and the results showed that the biosynthesis of unsaturated fatty acids and fatty acid biosynthesis pathways were significantly altered, as shown in <xref ref-type="fig" rid="F6">Figure 6H</xref>. Which metabolites were changed when the cells were treated with EA?</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Metabolomic analysis reveals EA&#x2019;s impact on non-small cell lung cancer metabolism via unsaturated fatty acid biosynthesis. <bold>(A)</bold> Untargeted metabolomics data analysis workflow. <bold>(B,C)</bold> Principal component analysis (PCA) of global samples in positive and negative ion modes. <bold>(D,E)</bold> Principal component analysis (OPLS-DA) of global samples in positive and negative ion modes. <bold>(F,G)</bold> Permutation test of OPLS-DA for positive and negative ion modes. <bold>(H)</bold> KEGG analysis enriched pathways.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g006.tif">
<alt-text content-type="machine-generated">Flowchart and visual data analysis depiction. Panel A shows the workflow from experimental samples to bioinformatics analysis, including LC-MS/MS and OPLS-DA. Panels B to E display PCA and OPLS-DA score plots for positive and negative ESI modes. Panel F presents permutation tests for model validation with positive ESI. Panel G shows permutation tests with negative ESI. Panel H highlights enriched KEGG pathways, with bars representing compound numbers and color-coded p-values.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-7">
<title>EA regulates the cell biological behaviour by reducing monounsaturated fatty acids level</title>
<p>
<xref ref-type="fig" rid="F7">Figure 7A</xref> shows the complete analysis of the unsaturated fatty acid biosynthetic pathway, presented asa heatmap after EA administration. This examination revealed a significant alteration in the concentrations of four pivotal metabolites: oleic acid, eicosenoic acid, nervonic acid, and erucic acid, all classified as monounsaturated fatty acids. Notably, oleic acid emerged as the most prominently affected, being markedly depleted in NSCLC cells subjected to EA treatment, as shown in <xref ref-type="fig" rid="F7">Figure 7B</xref>. The effect of oleic acid on the therapeutic efficacy of EA against NSCLC was assessed by dividing the cells into four groups: a control group, a group treated with EA, a group treated with EA plus oleic acid, and a group treated with oleic acid alone. Cell imaging results shown in <xref ref-type="fig" rid="F7">Figures 7C,D</xref>, demonstrated that oleic acid supplementation significantly counteracted the EA-mediated reduction in cell count, a result confirmed by CCK8 assay shown in <xref ref-type="fig" rid="F7">Figure 7E</xref>. The effect of oleic acid was also assessed on the migratory effect of these cells through the transwell migration assay. <xref ref-type="fig" rid="F7">Figures 7F,G</xref> show that oleic acid supplementation profoundly reversed the EA-induced suppression of cell migration, suggesting a complex regulatory network involving monounsaturated fatty acids in modulating cancer cell behaviour. Next, the effect of oleic acid on cell apoptosis and ferroptosis induced by EA was investigated by supplementing oleic acid to the cells. <xref ref-type="fig" rid="F7">Figures 7H,I</xref> show a reduction in the proportion of apoptotic cells after oleic acid supplementation compared to the cells treated with EA alone. Moreover, oleic acid supplementation in the effect of EA on cell ferroptosis revealed a significant decrease in ROS production in cells compared to the effect after EA treatment alone (<xref ref-type="fig" rid="F7">Figures 7J,K</xref>). Collectively, these findings revealedthe role of monounsaturated fatty acids, particularly oleic acid, in mitigating the proliferative and migratory effects induced by EA.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Oleic acid (OA) reverses the inhibitory effects of EA on cell proliferation and migration in human non-small cell lung cancer cells. <bold>(A)</bold> Enrichment of different metabolites in the biosynthesis of unsaturated fatty acids. <bold>(B)</bold> Quantitative analysis of four unsaturated fatty acids by metabolomics. <bold>(C,D)</bold> The effects of EA and OA on cell proliferation of A549 and H1299 cells n &#x3d; 5. <bold>(E)</bold> The changes of cell viability in A549 and H1299 cells after EA and OA treatment detected by CCK8 n &#x3d; 6. <bold>(F,G)</bold> The effect of EA or OA on cell migration of A549 and H1299 cells by transwell assay n &#x3d; 4. <bold>(H,I)</bold> The cell apoptosis after EA or OA treatment detected by Tunel assay in A549 and H1299 cells n &#x3d; 5. Scale bar &#x3d; 100&#xa0;&#x3bc;m <bold>(J,K)</bold> The production of ROS after EA or OA treatment detected by flow cytometry detection in A549 and H1299 cells n &#x3d; 4. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 compared with the Control group.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g007.tif">
<alt-text content-type="machine-generated">The image comprises multiple panels showing experimental data related to cell line studies. Panel A displays a heatmap indicating the expression levels of various fatty acids under different treatments. Panel B presents a bar graph comparing the relative intensity of fatty acids. Panels C and F show microscopy images of cell proliferation and migration in A549 and H1299 cells under various conditions. Panels D and G contain bar graphs quantifying proliferation and migration rates. Panel E illustrates cell viability. Panel H includes fluorescence microscopy images depicting dUTP and DAPI staining. Panel I shows a bar graph for TUNEL assay results. Panel J provides histograms of DCFH-DA fluorescence, and Panel K presents a bar graph for mean FITC-A fluorescence. Statistical significance is denoted with asterisks and hash symbols.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-8">
<title>EA regulates the apoptosis and ferroptosis of A549 and H1299 cells by targeting SCD1 expression</title>
<p>Literature research was performed to understand the effect of EA on monounsaturated fatty acid metabolites, revealing that SCD1 is the key factor of unsaturated fatty acid synthesis. SCD1 is a key enzyme in lipid synthesis and catalyses the conversion of saturated fatty acids to monounsaturated fatty acids. The results showed that EA significantly reduced the expression of SCD1 (<xref ref-type="fig" rid="F8">Figures 8A&#x2013;C</xref>). Molecular docking results showed that EA and SCD1 had strong binding ability (<xref ref-type="fig" rid="F8">Figure 8D</xref>). The regulation of SCD1 in the EA-induced cell growth inhibition and migration inhibition was assessed by constructing a plasmid expressing SCD1, which was transfected into A549 cells and H1299 cells. <xref ref-type="fig" rid="F8">Figure 8E</xref> revealed a marked decrease in the expression of SCD1 after EA treatment and a steep increase after SCD1 gene overexpression, suggesting the successful overexpression of this gene. Next, the effects of SCD1 overexpression on cell proliferation and migration revealed that itn reversed EA-reduced cell viability and migration (<xref ref-type="fig" rid="F8">Figures 8F&#x2013;H</xref>). This reversing effect was analogous to the effects observed in cell apoptosis and ROS assays, as demonstrated by flow cytometry (<xref ref-type="fig" rid="F8">Figures 8I,J</xref>; <xref ref-type="sec" rid="s12">Supplementary Figures 1, 3</xref>).</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>EA induces cell proliferation and migration inhibition of non-small cell lung cancer cells by regulating the expression of SCD1. <bold>(A)</bold> The <italic>SCD-1</italic> mRNA expression detected by qRT-PCR in A549 and H1299 cells n &#x3d; 6. <bold>(B,C)</bold> Western blot assay of SCD1 protein expression in A549 and H1299 cells treated with different concentrations of EA n &#x3d; 3. <bold>(D)</bold> Molecular docking of agrimonolide (PubChem CID: 77985550) in the SCD1 protein (protein number: 4zyo) was performing using a computational MOE program. <bold>(E)</bold> The changes of mRNA expression in A549 and H1299 cells after EA administration or overexpression of <italic>SCD1</italic> by qRT-PCR n &#x3d; 5. <bold>(F)</bold> The viability of A549 and H1299 cells after EA administration or overexpression of <italic>SCD1</italic> by CCK8 assay n &#x3d; 6. <bold>(G,H)</bold> The effect of EA treatment or <italic>SCD1</italic> overexpression on the migration ability of A549 and H1299 cells by Transwell assay n &#x3d; 4. Scale bar &#x3d; 100&#xa0;&#x3bc;m <bold>(I)</bold> The changes of apoptosis levels in A549 and H1299 cells treated with EA drug or overexpressing <italic>SCD1</italic> by flow cytometry. <bold>(J)</bold> ROS levels in A549 and H1299 cells treated with EA or <italic>SCD1</italic> overexpression detected by flow cytometry. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 compared with the Control group.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g008.tif">
<alt-text content-type="machine-generated">Scientific research image featuring multiple panels illustrating experimental results related to SCD1 expression and effects. Panels A, C, E, F, and H display bar graphs comparing mRNA and protein levels, cell viability, and migration in A549 and H1299 cell lines under various conditions. Panel B shows Western blot images for SCD1 and beta-actin. Panel D presents a molecular interaction diagram. Panel G shows cell migration assay images. Panel I includes flow cytometry analysis plots for apoptosis detection. Panel J shows fluorescence histograms for oxidative stress measurement.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-9">
<title>EA exerts its anti-tumour effect on NSCLC by targeting the AMPK signalling pathway</title>
<p>The underlying mechanism used by EA to exert its anti-tumour effect on A549 and H1299 cells was assessed using phosphorylomic analysis, and the results showed 55 phosphorylated proteins in the AKT, JAK/STAT, MAPK, NF&#x3ba;B, and TGF-&#x3b2; pathways, which are all carcinogenic key pathways (<xref ref-type="fig" rid="F9">Figures 9A,B</xref>). However, 41 differentially expressed proteins were found after EA treatment. Among them, the phosphorylation level of one protein such as mTOR, was significantly downregulated, while the phosphorylation level of other 40 proteins was significantly upregulated (<xref ref-type="fig" rid="F9">Figure 9C</xref>). Among these proteins, those that are more related to SCD1 include AMPK and mTOR. Therefore, the expression of AMPK and mTOR was detected and the results showed that the phosphorylation level of AMPK increased significantly while that of mTOR decreased significantly after EA treatment (<xref ref-type="fig" rid="F9">Figures 9D,E</xref>). The result was confirmed using the AMPK inhibitor dorsomorphin dihydrochloride to investigate its effect on cell proliferation and migration. The results showed that dorsomorphin dihydrochloride recoveredthe inhibitory effect of EA in A549 and H1299 cells as shown in <xref ref-type="fig" rid="F9">Figures 9F&#x2013;H</xref>. Collectively, these results indicated that EA attenuated tumour growth through the AMPK-mTOR-SCD1 signalling pathway.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>EA activates AMPK-mTOR signal to regulate cell proliferation and migration inhibition of non-small cell lung cancer cells. <bold>(A)</bold> Membranes showing the spots quantified to study the phosphorylation level of 55 proteins in the phosphoprotein array (5 oncogenic pathways; 55 phosphorylated proteins) in response to 24&#xa0;h treatment EA. <bold>(B)</bold> The scatter plot of differential expression proteins (DEPs). Red presents upregulation, blue presents downregulation, and grey presents no difference. <bold>(C)</bold> Log2 Fold Change of phosphorylation protein level in comparison with the control (DMSO). <bold>(D,E)</bold> Western blot assay of phosphorylation protein expression of AMPK and mTOR in A549 and H1299 cells treated with different concentrations of EA n &#x3d; 5. <bold>(F)</bold> The viability of A549 and H1299 cells after EA administration or AMPK inhibitor by CCK8 assay n &#x3d; 6. <bold>(G,H)</bold> The effect of EA treatment or AMPK inhibitor on the migration ability of A549 and H1299 cells by Transwell assay n &#x3d; 5. Scale bar &#x3d; 100&#xa0;&#x3bc;m &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 compared with the Control group.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g009.tif">
<alt-text content-type="machine-generated">A scientific figure showcasing multiple panels related to the effects of EA on signaling pathways and cellular processes. Panel A displays arrays for various pathways like Akt, JAK/STAT, and MAPK. Panel B is a scatter plot comparing average expression in control and EA-treated samples. Panel C presents a bar graph of Log2 fold changes for specific proteins. Panel D shows Western blots of proteins p-AMPK, AMPK, p-mTOR, and mTOR with &#x3B2;-actin in A549 and H1299 cells. Panel E is a bar graph of protein levels relative to &#x3B2;-actin. Panel F displays cell viability bar charts. Panel G provides images of stained cells. Panel H shows a bar graph of cell migration rates.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-10">
<title>EA inhibits NSCLC growth <italic>in vivo</italic>
</title>
<p>The anti-tumour effect of EA on NSCLC was investigated using a nude xenograft model of mice, which were treated with EA at different concentrations (25&#xa0;mg/kg and 50&#xa0;mg/kg), together with a positive control. Our findings shown in <xref ref-type="fig" rid="F10">Figure 10A</xref> demonstrated that EA exerted an inhibitory effect on tumour growth, highlighting its potential as an anticancer agent. Furthermore, EA significantly attenuated tumour weight and volume in the nude mouse model, corroborating the <italic>in vivo</italic> effect (<xref ref-type="fig" rid="F10">Figures 10B,C</xref>). However, the body weight of nude mice was not significantly affected (<xref ref-type="fig" rid="F10">Figure 10D</xref>). H&#x26;E staining further confirmed the aforementioned results (<xref ref-type="fig" rid="F10">Figure 10E</xref>). Furthermore, we performed immunofluorescence (IF) staining for Ki67, TUNEL assay to detect apoptosis, and Western blot to assess AMPK, mTOR, and SCD1 protein expression in tumour tissues derived from model mice. The results showed that Ki67 expression was significantly decreased, while apoptotic cells were significantly increased in the EA group compared with the control group (<xref ref-type="fig" rid="F10">Figures 10E-G</xref>). Western blot analysis revealed that EA treatment upregulated the expression of p-APMK protein while downregulating the expression of p-mTOR and SCD1 proteins (<xref ref-type="fig" rid="F10">Figures 10H&#x2013;K</xref>). Overall, our extensive research demonstrated the robust inhibitory effects of EA on NSCLC both <italic>in vivo</italic> and <italic>in vitro</italic>, thus providing an encouraging prospect for the development of innovative therapeutic approaches to combat this highly destructive tumour.</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>EA suppresses tumor growth in xenograft model of human non-small cell lung cancer cells. <bold>(A)</bold> Photograph of tumors from indicated mice. <bold>(B)</bold> Tumor weight of indicated mice. <bold>(C)</bold> Tumour volume of indicated mice. <bold>(D)</bold> Body weight of indicated mice. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 compared with the Control group. <bold>(E)</bold> H&#x26;E, Ki67 and TUNEL staining in indicated tumours. Scale bar &#x3d; 50&#xa0;&#x3bc;m. <bold>(F,G)</bold> Quantitative image analysis of Ki67 and Tunel positive cells in <bold>(E)</bold>. <bold>(H&#x2013;K)</bold> Western blot assay of phosphorylation protein expression of SCD1, AMPK and mTOR in indicated tumours n &#x3d; 3. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, and &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 compared with the Control group.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g010.tif">
<alt-text content-type="machine-generated">Composite image displaying several panels of experimental data related to A549 cells. Panel A shows photos of tumor samples with a ruler for scale, comparing control with two treatment dosages (25 mg/kg and 50 mg/kg). Panel B presents a box plot of tumor weights, highlighting significant reductions at 50 mg/kg. Panel C depicts a line graph of tumor volume over time, showing decreased growth with higher dosages. Panel D displays body weight changes, indicating stability across treatments. Panels E, F, and G present histological images and bar graphs for Ki67 and TUNEL assays, illustrating reduced cell proliferation and increased apoptosis at higher dosages. Panels H, I, J, and K show Western blot analyses and corresponding bar graphs for protein expression levels, indicating changes in markers like SCD-1, AMPK, and mTOR under different treatments. Statistical significance is indicated by asterisks in multiple panels.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Despite substantial advances in the treatment of NSCLC in recent years, the prognosis of NSCLC patients is still not ideal (<xref ref-type="bibr" rid="B9">Guo et al., 2024</xref>; <xref ref-type="bibr" rid="B33">Wang et al., 2021</xref>). Chemotherapy and targeted molecular therapy for lung cancer are usually accompanied by evident side effects, including strong toxicity to liver and kidney, causing vascular damage and drug resistance (<xref ref-type="bibr" rid="B17">Li et al., 2024</xref>; <xref ref-type="bibr" rid="B36">Yan et al., 2025</xref>). Traditional Chinese herbs are a promising treatment strategy for lung cancer due to their high safety and low cost, which may mitigate the adverse effects of chemotherapeutic drugs (<xref ref-type="bibr" rid="B26">Shi et al., 2022</xref>; <xref ref-type="bibr" rid="B30">Wang et al., 2018</xref>). Our previous study showed the antitumour effect of EA (<xref ref-type="bibr" rid="B40">Zhang et al., 2022b</xref>); however, the role of EA in NSCLC is unclear. This study systematically demonstrated that EA regulated the expression of oleic acid in NSCLC cells by targeting SCD1, inhibited lipid metabolism in NSCLC cells, triggered ferroptosis, promoted cell G2/M cycle arrest, and inhibited cell migration. Therefore, EA showed good antitumor activity and might be an effective adjuvant antitumour drug (<xref ref-type="fig" rid="F11">Figure 11</xref>).</p>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Schematic diagram of the mechanism of EA function.</p>
</caption>
<graphic xlink:href="fphar-16-1649314-g011.tif">
<alt-text content-type="machine-generated">Diagram illustrating the mechanism of Eupalinolide A (EA) on NSCLC cell lines H1299 and A549. EA affects various pathways: ROS influences CDC25, Cyclin B1, GPX4, and Bcl2, leading to cell cycle progression and apoptosis. AMPK activates mTOR and SCD1, promoting oleic acid production and ferroptosis. These processes collectively result in an anti-tumor effect within the cytoplasm.</alt-text>
</graphic>
</fig>
<p>Metabolic dysregulation is an important landmark event in the malignant progression of cancer (<xref ref-type="bibr" rid="B5">Feng et al., 2021</xref>). The important link between tumour genetics and metabolic recombination provides a new direction in the treatment of tumours (<xref ref-type="bibr" rid="B27">Tajan and Vousden, 2020</xref>). Enhanced lipid synthesis is one of the most significant markers of tumour metabolism, promoting tumour malignant progression (<xref ref-type="bibr" rid="B19">Martin-Perez et al., 2022</xref>). Intracellular free fatty acids make cancer cells more aggressive through lipid metabolic remodelling (<xref ref-type="bibr" rid="B3">Choi et al., 2018</xref>). Our present results revealed the critical regulatory role of EA in the metabolism of NSCLC cells. Our metabolomics analysis indicated that EA regulated the lipid metabolic pathway, including the biosynthesis of unsaturated fatty acids and fatty acid biosynthesis by reducing oleic acid production, further regulating the malignant behaviour of cells, including apoptosis and migration.</p>
<p>Oleic acid is a monounsaturated fatty acid involved in the development of many solid tumours, including breast cancer, gastric cancer, and prostate cancer (<xref ref-type="bibr" rid="B41">Zhang et al., 2024</xref>). Our study demonstrated that increased oleic acid promoted the proliferation and migration of NSCLC cells and inhibited their apoptosis by increasing SCD1 expression. Oleic acid inhibits ferroptosis by regulating the amount of polyunsaturated fatty acids available for oxidation in cell membranes (<xref ref-type="bibr" rid="B18">Magtanong et al., 2019</xref>). Our experimental results showed that EA induced ferroptosis by promoting ROS production and inhibiting GPX4 expression. Ferroptosis is a programmed cell death driven by the accumulation of intracellular lipid peroxidation and the excessive accumulation of cellular ROS, which is involved in the occurrence and development of multiple types of cancer including NSCLC (<xref ref-type="bibr" rid="B8">Gao et al., 2024</xref>). A series of studies highlighted that the metabolic activity of mitochondria is required for the generation of sufficient ROS to initiate ferroptosis (<xref ref-type="bibr" rid="B7">Gao et al., 2019</xref>). When cells start ferroptosis, it leads to alterations in the morphology and cristae structure of mitochondria. TEM revealed small mitochondria with increased mitochondrial membrane density and loss of cristae, while the cell membrane remains intact and the nucleus appears normal in size (<xref ref-type="bibr" rid="B32">Wang H. et al., 2020</xref>). Our results demonstrated a significant concentration-dependent increase in ROS levels after EA treatment, the expression of ferroptosis-associated key regulators that counteracted ferroptosis were significantly downregulated, and TEM revealed distinct morphological alterations in EA-treated cells, showing a reduced mitochondrial size associated with an increased membrane density. Tumour cells show a higher dependence on iron than normal cells, meaning that targeting ferroptosis may represent a new therapeutic strategy to combat lung cancer (<xref ref-type="bibr" rid="B34">Wang et al., 2023</xref>). A study found that the increased ROS induced by NOX4 is essential for oleic acid promoting the metastasis of colorectal cancer cells (<xref ref-type="bibr" rid="B25">Shen et al., 2020</xref>). This work investigated the regulatory role of oleic acid on ferroptosis in NSCLC cells to clarify the underlying mechanism,The results revealed that EA treatment inhibited oleic acid level by reducing SCD1 expression in a concentration-dependent manner, thereby increasing cellular ferroptosis.</p>
<p>SCD1 is an enzyme involved in the synthesis of monounsaturated fatty acids, with a key regulatory role in the PI3K-AKT-mTOR pathway by which it reduces ferroptosis in tumour cells (<xref ref-type="bibr" rid="B37">Yi et al., 2020</xref>). AMPK is an important molecule involved in the regulation of lipid metabolism and maintains cellular energy homeostasis (<xref ref-type="bibr" rid="B4">Dong et al., 2024</xref>). A previous study showed that AMPK has a dual effect on the regulation of ferroptosis. AMPK-mediated phosphorylation of beclin1 promotes ferroptosis by inhibiting GSH produced in colon cancer cells (<xref ref-type="bibr" rid="B1">Cao et al., 2024</xref>). Interestingly, studies found that cancer cells with high AMPK level activation are resistant to ferroptosis; the phosphorylation of ACAC mediated by AMPK inhibits ferroptosis (<xref ref-type="bibr" rid="B42">Zhao et al., 2020</xref>; <xref ref-type="bibr" rid="B13">Lee et al., 2020</xref>). Our results indicated that EA activated AMPK by the upregulation of ROS, leading to the downregulation of mTOR, further inhibiting the expression of SCD1, thereby promoting ferroptosis.</p>
<p>Nowadays, more and more traditional Chinese medicine monomer compounds have been tested and their role in the treatment of tumours is demonstrated (<xref ref-type="bibr" rid="B14">Li et al., 2021</xref>). Studies on EA, as one of the active ingredients of <italic>E. lindleyanum</italic>, are mostly limited on its anti-inflammatory activity, but little is known about its anti-tumour activity. Up to now, there is only one report on the role of EA in cancer (<xref ref-type="bibr" rid="B40">Zhang et al., 2022b</xref>). Therefore, our study on the mechanism of EA against NSCLC might provide more theoretical support for its anti-tumour pharmacological action. The most exciting findings of our results was that EA showed a good anti-tumour effect on NSCLC. Our study provides new insights into the regulation of ferroptosis pathway by EA through lipid metabolism, thus inhibiting the malignant behaviour of NSCLC cells, providing a new perspective on its role in NSCLC. However, the target regulators of EA activating the inhibition of lipid metabolism need to be further explored.</p>
<p>In conclusion, our study showed the good antitumor effect of EA by regulating the lipid metabolism pathway through the reduction of oleic acid production in the development and progression of NSCLC. EA regulated the malignant behaviour of NSCLC cells, including the promotion of cell apoptosis and the inhibition of cell proliferation and migration by promoting cellular ferroptosis. Furthermore, this study established a new mechanistic framework for the antitumour effect of EA in NSCLC, identifying the ROS-AMPK-mTOR-SCD1 signalling pathway as a key target, making EA a promising therapeutic candidate for NSCLC.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The dataset presented in this study can be found in the online repository NCBI, accession number PRJNA1286968 (<ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1286968">https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1286968</ext-link>).</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies on humans in accordance with the local legislation and institutional requirements because only commercially available established cell lines were used. The animal study was approved by Animal experiments were permitted and performed under the Ethics Committee of Chongqing Three Gorges Medical College, China. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>YZ: Project administration, Funding acquisition, Writing &#x2013; review and editing, Conceptualization. CW: Data curation, Writing &#x2013; original draft, Investigation, Software. XZ: Writing &#x2013; original draft, Investigation, Software, Methodology. DC: Supervision, Funding acquisition, Writing &#x2013; original draft. ZR: Methodology, Writing &#x2013; original draft. HY: Formal Analysis, Methodology, Writing &#x2013; original draft. NW: Supervision, Writing &#x2013; original draft, Project administration. ZT: Validation, Supervision, Writing &#x2013; review and editing. XL: Writing &#x2013; review and editing, Resources. LZ: Writing &#x2013; review and editing, Visualization, Project administration. NZ: Visualization, Resources, Writing &#x2013; original draft. JZ: Resources, Writing &#x2013; review and editing, Visualization. LL: Formal Analysis, Writing &#x2013; review and editing, Investigation. CH: Data curation, Writing &#x2013; review and editing. FW: Project administration, Writing &#x2013; review and editing. JT: Supervision, Methodology, Writing &#x2013; original draft. FK: Validation, Writing &#x2013; review and editing. LP: Writing &#x2013; original draft, Funding acquisition, Conceptualization, Validation. YW: Writing &#x2013; review and editing, Funding acquisition, Project administration.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2025.1649314/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1649314/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1277743/overview">Iman Azimi</ext-link>, Monash University, Australia</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1490115/overview">Shuo Yang</ext-link>, Guangzhou Medical University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3136955/overview">Haroon Iqbal</ext-link>, Affiliated Eye Hospital to Wenzhou Medical University, China</p>
</fn>
</fn-group>
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