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Guo W, Li M. Clinical efficacy of different androgen deprivation therapies for prostate cancer and evaluation based on dynamic-contrast enhanced magnetic resonance imaging. Acta Biochim Pol 2024; 71:12473. [PMID: 38812492 PMCID: PMC11133609 DOI: 10.3389/abp.2024.12473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 04/12/2024] [Indexed: 05/31/2024]
Abstract
Objective To evaluate the clinical efficacy of different androgen deprivation therapies for prostate cancer (PCa) based on dynamic-contrast enhanced magnetic resonance imaging (DCE-MRI). Methods 104 patients with PCa were studied, all of whom were treated with androgen deprivation therapy. The patients were divided into a continuous group (continuous androgen deprivation therapy) and an intermittent group (intermittent androgen deprivation therapy) by random number table method, 52 cases/group. The therapeutic effect and DCE-MRI indices were compared and the relationship between DCE-MRI indices and clinical efficacy and the evaluation value of therapeutic efficacy were analyzed. Results The objective response rate (ORR) of the intermittent group was higher than that of the continuous group (p < 0.05), and there was no significant difference in disease control rate (DCR) between the two groups (p > 0.05). After treatment, volume transfer coefficient (Ktrans), reverse transfer constant (Kep), volume fraction (Ve), blood volume (BV), and blood flow (BF) in both groups were lowered, and those in the intermittent group were lower than the continuous group (p < 0.05). Ktrans, Kep, Ve, BF, and BV in the ORR group were lower than those in the non-ORR group (p < 0.05). Ktrans, Kep, Ve, BF, and BV were correlated with the therapeutic effect of PCa (p < 0.05). The AUC value of the combined detection of DCE-MRI indices in evaluating the therapeutic effect of PCa was greater than that of each index alone (p < 0.05). Conclusion Compared with continuous androgen deprivation therapy, intermittent androgen deprivation therapy has better clinical efficacy in the treatment of PCa, and DCE-MRI indices are related to the treatment efficacy of PCa and have an evaluation value.
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Affiliation(s)
| | - MengZhu Li
- Department of Radiology, Wuhan Fourth Hospital, Wuhan, Hubei, China
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2
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Navarro Ledesma S, Hamed-Hamed D, González-Muñoz A, Pruimboom L. Effectiveness of Treatments That Alter Metabolomics in Cancer Patients-A Systematic Review. Cancers (Basel) 2023; 15:4297. [PMID: 37686573 PMCID: PMC10486463 DOI: 10.3390/cancers15174297] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/07/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
INTRODUCTION Cancer is the leading cause of death worldwide, with the most frequent being breast cancer in women, prostate cancer in men and colon cancer in both sexes. The use of metabolomics to find new biomarkers can provide knowledge about possible interventions based on the presence of oncometabolites in different cancer types. OBJECTIVES The primary purpose of this review is to analyze the characteristic metabolome of three of the most frequent cancer types. We further want to identify the existence and success rate of metabolomics-based intervention in patients suffering from those cancer types. Our conclusions are based on the analysis of the methodological quality of the studies. METHODS We searched for studies that investigated the metabolomic characteristics in patients suffering from breast cancer, prostate cancer or colon cancer in clinical trials. The data were analyzed, as well as the effects of specific interventions based on identified metabolomics and one or more oncometabolites. The used databases were PubMed, Virtual Health Library, Web of Science, EBSCO and Cochrane Library. Only nine studies met the selection criteria. Study bias was analyzed using the Cochrane risk of bias tool. This systematic review protocol was registered at the International Prospective Register of Systematic Reviews (PROSPERO: CRD42023401474). RESULTS Only nine studies about clinical trials were included in this review and show a moderate quality of evidence. Metabolomics-based interventions related with disease outcome were conflictive with no or small changes in the metabolic characteristics of the different cancer types. CONCLUSIONS This systematic review shows some interesting results related with metabolomics-based interventions and their effects on changes in certain cancer oncometabolites. The small number of studies we identified which fulfilled our inclusion criteria in this systematic review does not allow us to draw definitive conclusions. Nevertheless, some results can be considered as promising although further research is needed. That research must focus not only on the presence of possible oncometabolites but also on possible metabolomics-based interventions and their influence on the outcome in patients suffering from breast cancer, prostate cancer or colon cancer.
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Affiliation(s)
- Santiago Navarro Ledesma
- Department of Physiotherapy, Faculty of Health Sciences, Campus of Melilla, University of Granada, Querol Street 5, 52004 Melilla, Spain; (D.H.-H.); (A.G.-M.)
- Department of Physiotherapy, University Chair in Clinical Psychoneuroimmunology, University of Granada and PNI Europe, 52004 Melilla, Spain;
| | - Dina Hamed-Hamed
- Department of Physiotherapy, Faculty of Health Sciences, Campus of Melilla, University of Granada, Querol Street 5, 52004 Melilla, Spain; (D.H.-H.); (A.G.-M.)
| | - Ana González-Muñoz
- Department of Physiotherapy, Faculty of Health Sciences, Campus of Melilla, University of Granada, Querol Street 5, 52004 Melilla, Spain; (D.H.-H.); (A.G.-M.)
| | - Leo Pruimboom
- Department of Physiotherapy, University Chair in Clinical Psychoneuroimmunology, University of Granada and PNI Europe, 52004 Melilla, Spain;
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3
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Nikesitch N, Beraldi E, Zhang F, Adomat H, Bell R, Suzuki K, Fazli L, Hy Kung S, Wells C, Pinette N, Saxena N, Wang Y, Gleave M. Chaperone-mediated autophagy promotes PCa survival during ARPI through selective proteome remodeling. Oncogene 2023; 42:748-758. [PMID: 36611121 DOI: 10.1038/s41388-022-02573-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/05/2022] [Accepted: 12/07/2022] [Indexed: 01/09/2023]
Abstract
The androgen receptor (AR) plays an important role in PCa metabolism, with androgen receptor pathway inhibition (ARPI) subjecting PCa cells to acute metabolic stress caused by reduced biosynthesis and energy production. Defining acute stress response mechanisms that alleviate ARPI stress and therefore mediate prostate cancer (PCa) treatment resistance will help improve therapeutic outcomes of patients treated with ARPI. We identified the up-regulation of chaperone-mediated autophagy (CMA) in response to acute ARPI stress, which persisted in castration-resistant PCa (CRPC); previously undefined in PCa. CMA is a selective protein degradation pathway and a key stress response mechanism up-regulated under several stress stimuli, including metabolic stress. Through selective protein degradation, CMA orchestrates the cellular stress response by regulating cellular pathways through selective proteome remodeling. Through broad-spectrum proteomic analysis, CMA coordinates metabolic reprogramming of PCa cells to sustain PCa growth and survival during ARPI; through the upregulation of mTORC1 signaling and pathways associated with PCa biosynthesis and energetics. This not only promoted PCa growth during ARPI, but also promoted the emergence of CRPC in-vivo. During CMA inhibition, PCa metabolism is compromised, leading to ATP depletion, resulting in a profound anti-proliferative effect on PCa cells, and is enhanced when combined with ARPI. Furthermore, CMA inhibition prevented in-vivo tumour formation, and also re-sensitized enzalutamide-resistant cell lines in-vitro. The profound anti-proliferative effect of CMA inhibition was attributed to cell cycle arrest mediated through p53 transcriptional repression of E2F target genes. In summary, CMA is an acute ARPI stress response mechanism, essential in alleviating ARPI induced metabolic stress, essential for ensuring PCa growth and survival. CMA plays a critical role in the development of ARPI resistance in PCa.
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Affiliation(s)
- Nicholas Nikesitch
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Eliana Beraldi
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Fan Zhang
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Hans Adomat
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
| | - Robert Bell
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Kotaro Suzuki
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Ladan Fazli
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Sonia Hy Kung
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
| | - Christopher Wells
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
| | - Nicholas Pinette
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Neetu Saxena
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Yuzhuo Wang
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Martin Gleave
- Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada.
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
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Unraveling the Peculiar Features of Mitochondrial Metabolism and Dynamics in Prostate Cancer. Cancers (Basel) 2023; 15:cancers15041192. [PMID: 36831534 PMCID: PMC9953833 DOI: 10.3390/cancers15041192] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/08/2023] [Accepted: 02/10/2023] [Indexed: 02/16/2023] Open
Abstract
Prostate cancer (PCa) is the second leading cause of cancer deaths among men in Western countries. Mitochondria, the "powerhouse" of cells, undergo distinctive metabolic and structural dynamics in different types of cancer. PCa cells experience peculiar metabolic changes during their progression from normal epithelial cells to early-stage and, progressively, to late-stage cancer cells. Specifically, healthy cells display a truncated tricarboxylic acid (TCA) cycle and inefficient oxidative phosphorylation (OXPHOS) due to the high accumulation of zinc that impairs the activity of m-aconitase, the enzyme of the TCA cycle responsible for the oxidation of citrate. During the early phase of cancer development, intracellular zinc levels decrease leading to the reactivation of m-aconitase, TCA cycle and OXPHOS. PCa cells change their metabolic features again when progressing to the late stage of cancer. In particular, the Warburg effect was consistently shown to be the main metabolic feature of late-stage PCa cells. However, accumulating evidence sustains that both the TCA cycle and the OXPHOS pathway are still present and active in these cells. The androgen receptor axis as well as mutations in mitochondrial genes involved in metabolic rewiring were shown to play a key role in PCa cell metabolic reprogramming. Mitochondrial structural dynamics, such as biogenesis, fusion/fission and mitophagy, were also observed in PCa cells. In this review, we focus on the mitochondrial metabolic and structural dynamics occurring in PCa during tumor development and progression; their role as effective molecular targets for novel therapeutic strategies in PCa patients is also discussed.
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Pei Y, Ning R, Hu W, Li P, Zhang Z, Deng Y, Hong Z, Sun Y, Guo X, Zhang Q. Carbon Ion Radiotherapy Induce Metabolic Inhibition After Functional Imaging-Guided Simultaneous Integrated Boost for Prostate Cancer. Front Oncol 2022; 12:845583. [PMID: 35936669 PMCID: PMC9354483 DOI: 10.3389/fonc.2022.845583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeAs local recurrence remains a challenge and the advantages of the simultaneous integrated boost (SIB) technique have been validated in photon radiotherapy, we applied the SIB technique to CIRT. The aim was to investigate the metabolomic changes of the CIRT with concurrent androgen deprivation therapy (ADT) in localized prostate cancer (PCa) and the unique metabolic effect of the SIB technique.Material and MethodsThis study enrolled 24 pathologically confirmed PCa patients. All patients went through CIRT with concurrent ADT. The gross target volume (GTV) boost was defined as positive lesions on both 68Ga-PSMA PET/CT and mpMRI images. Urine samples collected before and after CIRT were analyzed by the Q-TOF UPLC-MS/MS system. R platform and MetDNA were used for peak detection and identification. Statistical analysis and metabolic pathway analysis were performed on Metaboanalyst.ResultsThe metabolite profiles were significantly altered after CIRT. The most significantly altered metabolic pathway is PSMA participated alanine, aspartate and glutamate metabolism. Metabolites in this pathway showed a trend to be better suppressed in the SIB group. A total of 11 identified metabolites were significantly discriminative between two groups and all of them were better down-regulated in the SIB group. Meanwhile, among these metabolites, three metabolites in DNA damage and repair related purine metabolism were down-regulated to a greater extent in the SIB group.ConclusionMetabolic dysfunction was one of the typical characteristics of PCa. CIRT with ADT showed a powerful inhibition of PCa metabolism, especially in PSMA participated metabolic pathway. The SIB CIRT showed even better performance on down-regulation of most metabolism than uniform-dose-distribution CIRT. Meanwhile, the SIB CIRT also showed its unique superiority to inhibit purine metabolism. PSMA PET/CT guided SIB CIRT showed its potentials to further benefit PCa patients.
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Affiliation(s)
- Yulei Pei
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
| | - Renli Ning
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Research and Development, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
| | - Wei Hu
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
| | - Ping Li
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Shanghai, China
| | - Zhenshan Zhang
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
| | - Yong Deng
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Research and Development, Shanghai Proton and Heavy Ion Center, Shanghai, China
| | - Zhengshan Hong
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Shanghai, China
| | - Yun Sun
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Research and Development, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- *Correspondence: Qing Zhang, ; Xiaomao Guo, ; Yun Sun,
| | - Xiaomao Guo
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- Department of Research and Development, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- *Correspondence: Qing Zhang, ; Xiaomao Guo, ; Yun Sun,
| | - Qing Zhang
- Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, China
- Shanghai Engineering Research Center of Proton and Heavy lon Radiation Therapy, Shanghai, China
- *Correspondence: Qing Zhang, ; Xiaomao Guo, ; Yun Sun,
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Wang D, Tang Y, Feng F, Qi M, Fang J, Zhang Y, Chai Y, Cao Y, Lv D. Investigation of the apoptosis-inducing effect of docetaxel by a comprehensive LC-MS based metabolomics and network pharmacology approaches. Biomed Chromatogr 2022; 36:e5417. [PMID: 35633112 DOI: 10.1002/bmc.5417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/28/2022] [Accepted: 05/25/2022] [Indexed: 11/07/2022]
Abstract
Docetaxel is one of the clinical first-line drugs and its combination with other chemotherapy agents for advanced or metastatic cancers has attracted widespread attention. Therefore, to promote the clinical application of docetaxel alone or in combination, a comprehensive investigation of the metabolic mechanism of docetaxel is of great importance. Here, we apply an integrative analysis of metabolomics and network pharmacology to elucidate the underlying mechanisms of docetaxel. After taking the intersection of the above two methods, 5 pathways including ABC transporters, Central carbon metabolism in cancer, Glycolysis and Gluconeogenesis, Cysteine and methionine metabolism, and Arginine biosynthesis have been screened out. In concern of the interaction network of these pathways and the anti-apoptosis effect of docetaxel itself, the Central carbon metabolism in cancer pathway was mainly focused. This study may help delineate global landscapes of cellular protein-metabolite interactions, to provide molecular insights about their mechanisms of action, to promote the clinical applications at well.
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Affiliation(s)
- Dongyao Wang
- School of Pharmacy, Second Military Medical University, Shanghai, China
| | - Yuxiao Tang
- Department of Nutrition, Second Military Medical University, Shanghai, China
| | - Fei Feng
- School of Pharmacy, Second Military Medical University, Shanghai, China
| | - Minyu Qi
- School of Pharmacy, Second Military Medical University, Shanghai, China
| | - Jiahao Fang
- School of Pharmacy, Second Military Medical University, Shanghai, China
| | - Ying Zhang
- School of Pharmacy, Second Military Medical University, Shanghai, China
| | - Yifeng Chai
- School of Pharmacy, Second Military Medical University, Shanghai, China
| | - Yan Cao
- School of Pharmacy, Second Military Medical University, Shanghai, China
| | - Diya Lv
- School of Pharmacy, Second Military Medical University, Shanghai, China
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Amaro F, Carvalho M, Bastos MDL, Guedes de Pinho P, Pinto J. Pharmacometabolomics Applied to Personalized Medicine in Urological Cancers. Pharmaceuticals (Basel) 2022; 15:295. [PMID: 35337093 PMCID: PMC8952371 DOI: 10.3390/ph15030295] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 02/23/2022] [Accepted: 02/25/2022] [Indexed: 02/06/2023] Open
Abstract
Prostate cancer (PCa), bladder cancer (BCa), and renal cell carcinoma (RCC) are the most common urological cancers, and their incidence has been rising over time. Surgery is the standard treatment for these cancers, but this procedure is only effective when the disease is localized. For metastatic disease, PCa is typically treated with androgen deprivation therapy, while BCa is treated with chemotherapy, and RCC is managed primarily with targeted therapies. However, response rates to these therapeutic options remain unsatisfactory due to the development of resistance and treatment-related toxicity. Thus, the discovery of biomarkers with prognostic and predictive value is needed to stratify patients into different risk groups, minimizing overtreatment and the risk of drug resistance development. Pharmacometabolomics, a branch of metabolomics, is an attractive tool to predict drug response in an individual based on its own metabolic signature, which can be collected before, during, and after drug exposure. Hence, this review focuses on the application of pharmacometabolomic approaches to identify the metabolic responses to hormone therapy, targeted therapy, immunotherapy, and chemotherapy for the most prevalent urological cancers.
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Affiliation(s)
- Filipa Amaro
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (M.C.); (M.d.L.B.); (P.G.d.P.)
- UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Márcia Carvalho
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (M.C.); (M.d.L.B.); (P.G.d.P.)
- UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
- FP-I3ID, FP-ENAS, CEBIMED, University Fernando Pessoa, 4200-150 Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, 4200-150 Porto, Portugal
| | - Maria de Lourdes Bastos
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (M.C.); (M.d.L.B.); (P.G.d.P.)
- UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Paula Guedes de Pinho
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (M.C.); (M.d.L.B.); (P.G.d.P.)
- UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Joana Pinto
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (M.C.); (M.d.L.B.); (P.G.d.P.)
- UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
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