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Jmel H, Boukhalfa W, Gouiza I, Seghaier RO, Dallali H, Kefi R. Pharmacogenetic landscape of pain management variants among Mediterranean populations. Front Pharmacol 2024; 15:1380613. [PMID: 38813106 PMCID: PMC11134176 DOI: 10.3389/fphar.2024.1380613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 04/05/2024] [Indexed: 05/31/2024] Open
Abstract
Background Chronic pain is a major socioeconomic burden in the Mediterranean region. However, we noticed an under-representation of these populations in the pharmacogenetics of pain management studies. In this context, we aimed 1) to decipher the pharmacogenetic variant landscape among Mediterranean populations compared to worldwide populations in order to identify therapeutic biomarkers for personalized pain management and 2) to better understand the biological process of pain management through in silico investigation of pharmacogenes pathways. Materials and Methods We collected genes and variants implicated in pain response using the Prisma guidelines from literature and PharmGK database. Next, we extracted these genes from genotyping data of 829 individuals. Then, we determined the variant distribution among the studied populations using multivariate (MDS) and admixture analysis with R and STRUCTURE software. We conducted a Chi2 test to compare the interethnic frequencies of the identified variants. We used SNPinfo web server, miRdSNP database to identify miRNA-binding sites. In addition, we investigated the functions of the identified genes and variants using pathway enrichment analysis and annotation tools. Finally, we performed docking analysis to assess the impact of variations on drug interactions. Results We identified 63 variants implicated in pain management. MDS analysis revealed that Mediterranean populations are genetically similar to Mexican populations and divergent from other populations. STRUCTURE analysis showed that Mediterranean populations are mainly composed of European ancestry. We highlighted differences in the minor allele frequencies of three variants (rs633, rs4680, and rs165728) located in the COMT gene. Moreover, variant annotation revealed ten variants with potential miRNA-binding sites. Finally, protein structure and docking analysis revealed that two missense variants (rs4680 and rs6267) induced a decrease in COMT protein activity and affinity for dopamine. Conclusion Our findings revealed that Mediterranean populations diverge from other ethnic groups. Furthermore, we emphasize the importance of pain-related pathways and miRNAs to better implement these markers as predictors of analgesic responses in the Mediterranean region.
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Affiliation(s)
- Haifa Jmel
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Genetic Typing Service, Institut Pasteur de Tunis, Tunis, Tunisia
- University of Tunis El Manar, Tunis, Tunisia
| | - Wided Boukhalfa
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Genetic Typing Service, Institut Pasteur de Tunis, Tunis, Tunisia
- University of Tunis El Manar, Tunis, Tunisia
- Faculty of Medicine of Tunis, Tunis, Tunisia
| | - Ismail Gouiza
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Genetic Typing Service, Institut Pasteur de Tunis, Tunis, Tunisia
- University of Tunis El Manar, Tunis, Tunisia
- Faculty of Medicine of Tunis, Tunis, Tunisia
- MitoLab Team, Unité MitoVasc, Unité Mixte de Recherche Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale U1083, SFR ICAT, University of Angers, Angers, France
| | - Roua Ouled Seghaier
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Hamza Dallali
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Genetic Typing Service, Institut Pasteur de Tunis, Tunis, Tunisia
- University of Tunis El Manar, Tunis, Tunisia
| | - Rym Kefi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Genetic Typing Service, Institut Pasteur de Tunis, Tunis, Tunisia
- University of Tunis El Manar, Tunis, Tunisia
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Lingaratnam S, Shah M, Nicolazzo J, Michael M, Seymour JF, James P, Lazarakis S, Loi S, Kirkpatrick CMJ. A systematic review and meta-analysis of the impacts of germline pharmacogenomics on severe toxicity and symptom burden in adult patients with cancer. Clin Transl Sci 2024; 17:e13781. [PMID: 38700261 PMCID: PMC11067509 DOI: 10.1111/cts.13781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/12/2024] [Accepted: 03/14/2024] [Indexed: 05/05/2024] Open
Abstract
The clinical application of Pharmacogenomics (PGx) has improved patient safety. However, comprehensive PGx testing has not been widely adopted in clinical practice, and significant opportunities exist to further optimize PGx in cancer care. This systematic review and meta-analysis aim to evaluate the safety outcomes of reported PGx-guided strategies (Analysis 1) and identify well-studied emerging pharmacogenomic variants that predict severe toxicity and symptom burden (Analysis 2) in patients with cancer. We searched MEDLINE, EMBASE, CENTRAL, clinicaltrials.gov, and International Clinical Trials Registry Platform from inception to January 2023 for clinical trials or comparative studies evaluating PGx strategies or unconfirmed pharmacogenomic variants. The primary outcomes were severe adverse events (SAE; ≥ grade 3) or symptom burden with pain and vomiting as defined by trial protocols and assessed by trial investigators. We calculated pooled overall relative risk (RR) and 95% confidence interval (95%CI) using random effects models. PROSPERO, registration number CRD42023421277. Of 6811 records screened, six studies were included for Analysis 1, 55 studies for Analysis 2. Meta-analysis 1 (five trials, 1892 participants) showed a lower absolute incidence of SAEs with PGx-guided strategies compared to usual therapy, 16.1% versus 34.0% (RR = 0.72, 95%CI 0.57-0.91, p = 0.006, I2 = 34%). Meta-analyses 2 identified nine medicine(class)-variant pairs of interest across the TYMS, ABCB1, UGT1A1, HLA-DRB1, and OPRM1 genes. Application of PGx significantly reduced rates of SAEs in patients with cancer. Emergent medicine-variant pairs herald further research into the expansion and optimization of PGx to improve systemic anti-cancer and supportive care medicine safety and efficacy.
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Affiliation(s)
- Senthil Lingaratnam
- Pharmacy DepartmentPeter MacCallum Cancer CentreMelbourneVictoriaAustralia
- Sir Peter MacCallum Department of OncologyUniversity of MelbourneMelbourneVictoriaAustralia
- Monash Institute of Pharmaceutical Sciences, Monash UniversityMelbourneVictoriaAustralia
| | - Mahek Shah
- Faculty of Pharmacy and Pharmaceutical SciencesMonash UniversityMelbourneVictoriaAustralia
| | - Joseph Nicolazzo
- Monash Institute of Pharmaceutical Sciences, Monash UniversityMelbourneVictoriaAustralia
| | - Michael Michael
- Sir Peter MacCallum Department of OncologyUniversity of MelbourneMelbourneVictoriaAustralia
- Department of Medical OncologyPeter MacCallum Cancer CentreMelbourneVictoriaAustralia
| | - John F. Seymour
- Sir Peter MacCallum Department of OncologyUniversity of MelbourneMelbourneVictoriaAustralia
- Department of Clinical HaematologyPeter MacCallum Cancer Centre and Royal Melbourne HospitalMelbourneVictoriaAustralia
| | - Paul James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne HospitalMelbourneVictoriaAustralia
| | - Smaro Lazarakis
- Health Sciences LibraryRoyal Melbourne HospitalMelbourneVictoriaAustralia
| | - Sherene Loi
- Sir Peter MacCallum Department of OncologyUniversity of MelbourneMelbourneVictoriaAustralia
- Division of Cancer ResearchPeter MacCallum Cancer CentreMelbourneVictoriaAustralia
| | - Carl M. J. Kirkpatrick
- Monash Institute of Pharmaceutical Sciences, Monash UniversityMelbourneVictoriaAustralia
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Wang L, Chen Q, Liu T, Bai T, Zhang M, Hu Y, Li J, Chang F. Role and mechanism of benzo[a]pyrene in the transformation of chronic obstructive pulmonary disease into lung adenocarcinoma. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04353-y. [PMID: 36229541 DOI: 10.1007/s00432-022-04353-y] [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: 07/13/2022] [Accepted: 09/07/2022] [Indexed: 10/17/2022]
Abstract
OBJECTIVE This experiment is explores the genes that play a key role, their expression changes and the biological processes in the transformation of chronic obstructive pulmonary disease (COPD) into lung adenocarcinoma (LAC). Meanwhile, identify the effects of Benzo[a]pyrene (BaP) in the conversion of COPD into LAC. METHODS 1. Differential expression genes of COPD and LAC were screened and analyzed by high-throughput microarray data between the two diseases and their respective control groups. 2. The screened genes were used for routine bioinformatics analysis such as functional analysis, expression verification, protein interaction analysis and functional enrichment. 3. Cigarette smoke extract (CSE) combined with lipopolysaccharide (LPS) was used to establish an in vitro COPD model. 4. MTT assay was used to detect the influence of B(a)P in effect on A549 cell proliferation. CCK-8, Transwell invasion test and scratch test were used to detect the cell proliferation, invasion and migration ability, while qPCR and Western Blot tests were used to observe the cell proliferation, apoptosis and changes in related indicators such as EMT. 5. Experimental method of separately adding agonists (tBHQ) and inhibitors (DIC) of NQO1 was used to confirm the effect of NQO1 on A549 cell proliferation, apoptosis, migration and invasion. 6. To further clarify whether BaP exerted effect on cell proliferation, apoptosis, migration and invasion through NQO1, we knocked down NQO1 gene and then infecting cells with BaP. RESULTS 1. We screened genes of COPD and LAC using datasets from GSE151052, GSE118370, and GSE140797. After screening, the genes upregulated in COPD and downregulated in LAC were RTKN2, SLC6A4, and HBB, the gene downregulated in COPD and upregulated in LAC was NQO1, the genes downregulated in both COPD and LAC were FPR1, LYVE1 and PKHD1L1. 2. The main signaling pathways in which the target genes were enriched are cell cycle, EMT, PI3K/AKT, and apoptosis. In the data included GEPIA, PKHD1L1, FPR1, LYVE1, RTKN2, HBB, and SLC6A4 were significantly downregulated and NQO1 was upregulated in LAC relative to controls. In addition, there were 46 interaction proteins in the target genes, and the functions they enriched included hydrogen peroxide catabolism, etc. 3. When A549 cell was stimulated with 100 ng/mL LPS+ 10% CSE, the COX-2 expression indicated that COPD model in vitro was successfully established. 4. The optimal dose and action time were screened which were 1 μM and 24 h. Compared to the control group, COPD and BaP group increased cell proliferation and invasion capabilities. On the basis of COPD, adding BaP could further increase the proliferation and migration capabilities. Interestingly, the levels of NQO1 decreased in COPD models, while increased by BaP. 5. tBHQ can increase the proliferation and migration capacity of A549 cells, which is inhibited by the addition of DIC. 6. The enhanced proliferation, migration and invasion of A549 cells by BaP were attenuated after knockdown of NQO1. CONCLUSION Our study reveals that PKHD1L1, FPR1, LYVE1, RTKN2, HBB, SLC6A4 and NQO1 may play an important role in the conversion of COPD to LAC. High NQO1 expression may increase the proliferation and migration ability of A549 cells, and BaP may promote the EMT state by increasing the expression of NQO1, thereby making the COPD model in vitro expose the tumor characteristics.
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Affiliation(s)
- Lei Wang
- School of Pharmacy, Inner Mongolia Medical University, Inner Mongolia Autonomous Region, Hohhot, 010000, China
| | - Qi Chen
- School of Pharmacy, Inner Mongolia Medical University, Inner Mongolia Autonomous Region, Hohhot, 010000, China.,School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Tingting Liu
- School of Pharmacy, Inner Mongolia Medical University, Inner Mongolia Autonomous Region, Hohhot, 010000, China.,School of Life Sciences, Henan University, Kaifeng, Henan, China
| | - Tuya Bai
- School of Pharmacy, Inner Mongolia Medical University, Inner Mongolia Autonomous Region, Hohhot, 010000, China.,New Drug Screening Engineering Research Center of Inner Mongolia Autonomous Region, Inner Mongolia Autonomous Region, Hohhot, China
| | - Mengdi Zhang
- School of Pharmacy, Inner Mongolia Medical University, Inner Mongolia Autonomous Region, Hohhot, 010000, China.,New Drug Screening Engineering Research Center of Inner Mongolia Autonomous Region, Inner Mongolia Autonomous Region, Hohhot, China
| | - Yuxia Hu
- School of Pharmacy, Inner Mongolia Medical University, Inner Mongolia Autonomous Region, Hohhot, 010000, China. .,New Drug Screening Engineering Research Center of Inner Mongolia Autonomous Region, Inner Mongolia Autonomous Region, Hohhot, China. .,New Drug Safety Evaluation Research Center, Inner Mongolia Medical University, Inner Mongolia Autonomous Region, Hohhot, China.
| | - Jun Li
- School of Pharmacy, Inner Mongolia Medical University, Inner Mongolia Autonomous Region, Hohhot, 010000, China. .,New Drug Screening Engineering Research Center of Inner Mongolia Autonomous Region, Inner Mongolia Autonomous Region, Hohhot, China. .,New Drug Safety Evaluation Research Center, Inner Mongolia Medical University, Inner Mongolia Autonomous Region, Hohhot, China.
| | - Fuhou Chang
- School of Pharmacy, Inner Mongolia Medical University, Inner Mongolia Autonomous Region, Hohhot, 010000, China. .,New Drug Screening Engineering Research Center of Inner Mongolia Autonomous Region, Inner Mongolia Autonomous Region, Hohhot, China.
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