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Li X, Hu L, Naeem A, Xiao S, Yang M, Shang H, Zhang J. Neutrophil Extracellular Traps in Tumors and Potential Use of Traditional Herbal Medicine Formulations for Its Regulation. Int J Nanomedicine 2024; 19:2851-2877. [PMID: 38529365 PMCID: PMC10961241 DOI: 10.2147/ijn.s449181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/28/2024] [Indexed: 03/27/2024] Open
Abstract
Neutrophil extracellular traps (NETs) are extracellular fibers composed of deoxyribonucleic acid (DNA) and decorated proteins produced by neutrophils. Recently, NETs have been associated with the development of many diseases, including tumors. Herein, we reviewed the correlation between NETs and tumors. In addition, we detailed active compounds from traditional herbal medicine formulations that inhibit NETs, related nanodrug delivery systems, and antibodies that serve as "guiding moieties" to ensure targeted delivery to NETs. Furthermore, we discussed the strategies used by pathogenic microorganisms to evade NETs.
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Affiliation(s)
- Xiang Li
- National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Lei Hu
- National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330006, People’s Republic of China
| | - Abid Naeem
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People’s Republic of China
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, School of Medical Technology, Key Laboratory of Molecular Medicine and Biotherapy, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Beijing Institute of Technology, Beijing, 100081, People’s Republic of China
| | - Shanghua Xiao
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People’s Republic of China
| | - Ming Yang
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People’s Republic of China
| | - Hongming Shang
- Department of Biochemistry & Chemical Biology, Vanderbilt University, Nashville, TN, USA
| | - Jing Zhang
- National Pharmaceutical Engineering Center for Solid Preparation in Chinese Herbal Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330006, People’s Republic of China
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, 330004, People’s Republic of China
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Cai L, Zuo X, Ma L, Zhang Y, Xu F, Lu B. Associations of MMP9 polymorphism with the risk of severe pneumonia in a Southern Chinese children population. BMC Infect Dis 2024; 24:19. [PMID: 38166679 PMCID: PMC10763005 DOI: 10.1186/s12879-023-08931-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 12/19/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Severe pneumonia frequently causes irreversible sequelae and represents a major health burden for children under the age of 5. Matrix Metallopeptidase 9 (MMP9) is a zinc-dependent endopeptidase that is involved in various cellular processes. The correlation between MMP9 and the risk of severe childhood pneumonia remains unclear. METHODS Here we assemble a case-control cohort to study the association of genetic variants in MMP9 gene with severe childhood pneumonia susceptibility in a Southern Chinese population (1034 cases and 8426 controls). RESULTS Our results indicate that the allele G in rs3918262 SNP was significantly associated with an increased risk of severe pneumonia. Bioinformatic analyses by expression quantitative trait loci (eQTL), RegulomeDB and FORGEdb database analysis showed that rs3918262 SNP has potential regulatory effect on translational efficiency and protein level of MMP9 gene. Furthermore, MMP9 concentrations were significantly up-regulated in the bronchoalveolar lavages (BALs) of children with severe pneumonia. CONCLUSION In summary, our findings suggest that MMP9 is a novel predisposing gene for childhood pneumonia.
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Affiliation(s)
- Li Cai
- Department of Hospital Infection Control, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510120, China
| | - Xiaoyu Zuo
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510623, China
| | - Liuheyi Ma
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510623, China
| | - Yuxia Zhang
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510623, China
| | - Falin Xu
- Department of Pediatrics, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450052, China.
| | - Bingtai Lu
- Department of Pediatric Surgery, Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510623, China.
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University Guangzhou, Guangzhou, Guangdong, 510080, China.
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Accattatis FM, Caruso A, Carleo A, Del Console P, Gelsomino L, Bonofiglio D, Giordano C, Barone I, Andò S, Bianchi L, Catalano S. CEBP-β and PLK1 as Potential Mediators of the Breast Cancer/Obesity Crosstalk: In Vitro and In Silico Analyses. Nutrients 2023; 15:2839. [PMID: 37447165 DOI: 10.3390/nu15132839] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/19/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
Over the last two decades, obesity has reached pandemic proportions in several countries, and expanding evidence is showing its contribution to several types of malignancies, including breast cancer (BC). The conditioned medium (CM) from mature adipocytes contains a complex of secretes that may mimic the obesity condition in studies on BC cell lines conducted in vitro. Here, we report a transcriptomic analysis on MCF-7 BC cells exposed to adipocyte-derived CM and focus on the predictive functional relevance that CM-affected pathways/processes and related biomarkers (BMs) may have in BC response to obesity. CM was demonstrated to increase cell proliferation, motility and invasion as well as broadly alter the transcript profiles of MCF-7 cells by significantly modulating 364 genes. Bioinformatic functional analyses unraveled the presence of five highly relevant central hubs in the direct interaction networks (DIN), and Kaplan-Meier analysis sorted the CCAAT/enhancer binding protein beta (CEBP-β) and serine/threonine-protein kinase PLK1 (PLK1) as clinically significant biomarkers in BC. Indeed, CEBP-β and PLK1 negatively correlated with BC overall survival and were up-regulated by adipocyte-derived CM. In addition to their known involvement in cell proliferation and tumor progression, our work suggests them as a possible "deus ex machina" in BC response to fat tissue humoral products in obese women.
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Affiliation(s)
- Felice Maria Accattatis
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Amanda Caruso
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Alfonso Carleo
- Department of Pulmonology, Hannover Medical School, Carl-Neuberg-Straße, 30625 Hannover, Germany
| | - Piercarlo Del Console
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Luca Gelsomino
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Daniela Bonofiglio
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
- Centro Sanitario, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Cinzia Giordano
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
- Centro Sanitario, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Ines Barone
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
- Centro Sanitario, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Sebastiano Andò
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
- Centro Sanitario, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
| | - Laura Bianchi
- Section of Functional Proteomics, Department of Life Sciences, Via Aldo Moro, University of Siena, 53100 Siena, Italy
| | - Stefania Catalano
- Department of Pharmacy, Health and Nutritional Sciences, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
- Centro Sanitario, Via P. Bucci, University of Calabria, Arcavacata di Rende (CS), 87036 Cosenza, Italy
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Kim SS, Shin H, Ahn KG, Park YM, Kwon MC, Lim JM, Oh EK, Kim Y, Han SM, Noh DY. Quantifiable peptide library bridges the gap for proteomics based biomarker discovery and validation on breast cancer. Sci Rep 2023; 13:8991. [PMID: 37268731 DOI: 10.1038/s41598-023-36159-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 05/30/2023] [Indexed: 06/04/2023] Open
Abstract
Mass spectrometry (MS) based proteomics is widely used for biomarker discovery. However, often, most biomarker candidates from discovery are discarded during the validation processes. Such discrepancies between biomarker discovery and validation are caused by several factors, mainly due to the differences in analytical methodology and experimental conditions. Here, we generated a peptide library which allows discovery of biomarkers in the equal settings as the validation process, thereby making the transition from discovery to validation more robust and efficient. The peptide library initiated with a list of 3393 proteins detectable in the blood from public databases. For each protein, surrogate peptides favorable for detection in mass spectrometry was selected and synthesized. A total of 4683 synthesized peptides were spiked into neat serum and plasma samples to check their quantifiability in a 10 min liquid chromatography-MS/MS run time. This led to the PepQuant library, which is composed of 852 quantifiable peptides that cover 452 human blood proteins. Using the PepQuant library, we discovered 30 candidate biomarkers for breast cancer. Among the 30 candidates, nine biomarkers, FN1, VWF, PRG4, MMP9, CLU, PRDX6, PPBP, APOC1, and CHL1 were validated. By combining the quantification values of these markers, we generated a machine learning model predicting breast cancer, showing an average area under the curve of 0.9105 for the receiver operating characteristic curve.
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Affiliation(s)
- Sung-Soo Kim
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
- Bio Convergence Research Institute, Bertis Inc., Heungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - HyeonSeok Shin
- Bio Convergence Research Institute, Bertis Inc., Heungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Kyung-Geun Ahn
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Young-Min Park
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Min-Chul Kwon
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Jae-Min Lim
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Eun-Kyung Oh
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Yumi Kim
- Department of Surgery, CHA Gangnam Medical Center, CHA University School of Medicine, 566, Nonhyeon-ro, Gangnam-gu, Seoul, 06135, Republic of Korea
| | - Seung-Man Han
- Bertis Inc., 172, Dolma-Ro, Bundang-Gu, Seongnam-Si, Gyeonggi-Do, 13605, Republic of Korea
| | - Dong-Young Noh
- Department of Surgery, CHA Gangnam Medical Center, CHA University School of Medicine, 566, Nonhyeon-ro, Gangnam-gu, Seoul, 06135, Republic of Korea.
- Bertis Inc., 172, Dolma-Ro, Bundang-Gu, Seongnam-Si, Gyeonggi-Do, 13605, Republic of Korea.
- Seoul National University College of Medicine, 103 Daehak-Ro, Seoul, 03080, Republic of Korea.
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Wu YY, Xu YM, Lau ATY. Epigenetic effects of herbal medicine. Clin Epigenetics 2023; 15:85. [PMID: 37179342 PMCID: PMC10183144 DOI: 10.1186/s13148-023-01481-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 04/08/2023] [Indexed: 05/15/2023] Open
Abstract
Epigenetic memory is essential for life that governs the predefined functional features of cells. Recent evidence has indicated that the epigenetic modification provides a potential link to gene expression changes that may be involved in the development of various chronic diseases, and targeting the epigenome becomes a plausible method for treating diseases. Traditional herbal medicine has gradually entered the vision of researchers due to its low toxicity and its effectiveness in treating diseases. As a matter of fact, researchers found that the possessed epigenetic modification capacity of herbal medicine had the ability to combat the progression of the disease, such as various types of cancer, diabetes, inflammation, amnesia, liver fibrosis, asthma, and hypertension-induced renal injury. Studies on the epigenetic effects of herbal medicine will provide valuable insights into the molecular mechanisms of human diseases, which may lead to new therapeutic approaches and diagnoses. Thus, this review summarized the impact of herbal medicine and its bioactive components on disease epigenome as examples of how utilization of epigenetic plasticity could be useful as the basis for the future development of targeted therapies in chronic diseases.
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Affiliation(s)
- Yu-Yao Wu
- Laboratory of Cancer Biology and Epigenetics, Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China
| | - Yan-Ming Xu
- Laboratory of Cancer Biology and Epigenetics, Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China
| | - Andy T Y Lau
- Laboratory of Cancer Biology and Epigenetics, Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
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Pabian-Jewuła S, Rylski M. Does the functional polymorphism-1562C/T of MMP-9 gene influence brain disorders? Front Cell Neurosci 2023; 17:1110967. [PMID: 37206663 PMCID: PMC10188926 DOI: 10.3389/fncel.2023.1110967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 03/13/2023] [Indexed: 05/21/2023] Open
Abstract
Metalloproteinase-9 (MMP-9) is one of the most strongly expressed matrix metalloproteinases (MMPs) in the brain. The MMP-9 activity in the brain is strictly regulated, and any disruptions in this regulation contribute to a development of many disorders of the nervous system including multiple sclerosis, brain strokes, neurodegenerative disorders, brain tumors, schizophrenia, or Guillain-Barré syndrome. This article discusses a relationship between development of the nervous system diseases and the functional single nucleotide polymorphism (SNP) at position -1562C/T within the MMP-9 gene. A pathogenic influence of MMP-9-1562C/T SNP was observed both in neurological and psychiatric disorders. The presence of the allele T often increases the activity of the MMP-9 gene promoter and consequently the expression of MMP-9 when compared to the allele C. This leads to a change in the likelihood of an occurrence of diseases and modifies the course of certain brain diseases in humans, as discussed below. The presented data indicates that the MMP-9-1562C/T functional polymorphism influences the course of many neuropsychiatric disorders in humans suggesting a significant pathological role of the MMP-9 metalloproteinase in pathologies of the human central nervous system.
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Affiliation(s)
- Sylwia Pabian-Jewuła
- Department of Translational Immunology and Experimental Intensive Care, Centre of Postgraduate Medical Education, Warsaw, Poland
- *Correspondence: Sylwia Pabian-Jewuła,
| | - Marcin Rylski
- Department of Radiology, Institute of Psychiatry and Neurology, Warsaw, Poland
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Tan Y, Kang J, Li H, Zhong A, Liu Y, Zhang Z, Huang R, Cheng X, Peng W. Diabetes mellitus induces a novel inflammatory network involving cancer progression: Insights from bioinformatic analysis and in vitro validation. Front Immunol 2023; 14:1149810. [PMID: 37033970 PMCID: PMC10076825 DOI: 10.3389/fimmu.2023.1149810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 03/14/2023] [Indexed: 04/11/2023] Open
Abstract
Background Patients with diabetes mellitus (DM) have a higher incidence of malignant tumors than people without diabetes, but the underlying molecular mechanisms are still unclear. Methods To investigate the link between DM and cancer, we screened publicly available databases for diabetes and cancer-related genes (DCRGs) and constructed a diabetes-based cancer-associated inflammation network (DCIN). We integrated seven DCRGs into the DCIN and analyzed their role in different tumors from various perspectives. We also investigated drug sensitivity and single-cell sequencing data in colon adenocarcinoma as an example. In addition, we performed in vitro experiments to verify the expression of DCRGs and the arachidonic acid metabolic pathway. Results Seven identified DCRGs, including PPARG, MMP9, CTNNB1, TNF, TGFB1, PTGS2, and HIF1A, were integrated to construct a DCIN. The bioinformatics analysis showed that the expression of the seven DCRGs in different tumors was significantly different, which had varied effects on diverse perspectives. Single-cell sequencing analyzed in colon cancer showed that the activity of the DCRGs was highest in Macrophage and the lowest in B cells among all cell types in adenoma and carcinoma tissue. In vitro experiments showed that the DCRGs verified by western bolt and PEG2 verified by ELISA were all highly expressed in COAD epithelial cells stimulated by high glucose. Conclusion This study, for the first time, constructed a DCIN, which provides novel insights into the underlying mechanism of how DM increases tumor occurrence and development. Although further research is required, our results offer clues for new potential therapeutic strategies to prevent and treat malignant tumors.
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Affiliation(s)
- Yejun Tan
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- School of Mathematics, University of Minnesota Twin Cities, Minneapolis, MN, United States
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, United States
| | - Jin Kang
- Department of Rheumatology and Immunology, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Hongli Li
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Aifang Zhong
- Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yaqiong Liu
- Centre for Research in Medical Devices, National University of Ireland Galway, Galway, Ireland
| | - Zheyu Zhang
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Roujie Huang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing, China
| | - Xin Cheng
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Weijun Peng
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Metabolic Diseases, The Second Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Weijun Peng,
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Matrix Metalloproteinase Gene Polymorphisms Are Associated with Breast Cancer in the Caucasian Women of Russia. Int J Mol Sci 2022; 23:ijms232012638. [PMID: 36293492 PMCID: PMC9604098 DOI: 10.3390/ijms232012638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/14/2022] [Accepted: 10/15/2022] [Indexed: 12/04/2022] Open
Abstract
We conducted this study to explore the association between matrix metalloproteinase (MMP) gene polymorphisms and breast cancer (BC) risk in the Caucasian women of Russia. In total, 358 affected (BC) and 746 unaffected (cancer-free) women were included in this case-control retrospective study. From BC-related genes in previous studies, ten single nucleotide polymorphisms (SNPs) in five MMP genes (MMP1, 2, 3, 8, 9) were genotyped. The BC risk was calculated by logistic regression (to evaluate the SNPs’ independent effects) and model-based multifactor dimensionality reduction (MB-MDR) (to identify SNP−SNP interactions) methods. The allelic variants’ distribution of c.836 A > G (rs17576) and c. 1721 C > G (rs2250889) MMP9 was significantly different between BC and cancer-free women: for G minor alleles, these SNPs manifested disorder protective effects (OR 0.82 and OR 0.67−0.71, respectively, pperm ≤ 0.035). Eleven haplotypes of six SNPs MMP9 were involved in BC risk (nine haplotypes) and protective (two haplotypes) effects. All 10 SNPs of the MMP genes examined were associated with BC within the 13 SNP−SNP interaction simulated models, with a pivotal role of the two-locus (rs17577 × rs3918242) MMP9 epistatic interaction (defined as 1.81% BC entropy within more than 60% of the genetic models). Under in silico bioinformatics, BC susceptibility MMP polymorphic loci are located in functionally active genome regions and impact genes expression and splicing “regulators” in the mammary gland. The biological pathways of BC MMP candidate genes are mainly realized due to metalloendopeptidase activity and extracellular matrix organization (structure, disassembly, metabolic process, etc.). In conclusion, our data show that MMP gene polymorphisms are related to BC susceptibility in the Caucasian women of Russia.
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The Modifying Effect of Obesity on the Association of Matrix Metalloproteinase Gene Polymorphisms with Breast Cancer Risk. Biomedicines 2022; 10:biomedicines10102617. [PMID: 36289879 PMCID: PMC9599943 DOI: 10.3390/biomedicines10102617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/10/2022] [Accepted: 10/13/2022] [Indexed: 11/17/2022] Open
Abstract
Objective: We investigated the possible modifying effect of obesity on the association of matrix metalloproteinase (MMP) gene polymorphisms with breast cancer (BC) risk. Methods: A total of 1104 women divided into two groups according to their body mass index (BMI): BMI ≥ 30 (119 BC, and 190 control) and BMI < 30 (239 BC, and 556 control) were genotyped for specially selected (according to their association with BC in the previous study) 10 single-nucleotide polymorphisms (SNP) of MMP1, 2, 3, 8, and 9 genes. Logistic regression association analysis was performed in each studied group of women (with/without obesity). Functional annotation of BC-correlated MMP polymorphic variants was analyzed by in silico bioinformatics. Results: We observed significant differences in the involvement of MMP SNPs in BC in obese and non-obese women. Polymorphic loci MMP9 (c.836 A > G (rs17576) and c. 1721 C > G (rs2250889)) were BC-protective factors in obese women (OR 0.71, allelic model, and OR 0.55, additive model, respectively). Genotypes TT MMP2 (c.-1306 C > T,rs243865) and AA MMP9 (c. 1331-163 G > A,rs3787268) determined BC susceptibility in non-obese women (OR 0.31, and OR 2.36, respectively). We found in silico substantial multidirectional influences on gene expression in adipose tissue BC-related polymorphic loci: BC risk allele A-rs3787268 in non-obese women is associated with low expression NEURL2, PLTP, RP3-337O18.9, SPATA25, and ZSWIM1, whereas BC risk allele A-rs17576 in obese women is associated with high expression in the same genes in visceral and/or subcutaneous adipose. Conclusions: our study indicated that obesity has a significant modifying effect on the association of MMP genes with BC risk in postmenopausal women.
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Zhang Y, He J, Jin J, Ren C. Recent advances in the application of metallomics in diagnosis and prognosis of human cancer. Metallomics 2022; 14:6596881. [PMID: 35648480 DOI: 10.1093/mtomcs/mfac037] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/12/2022] [Indexed: 11/13/2022]
Abstract
Metals play a critical role in human health and diseases. In recent years, metallomics has been introduced and extensively applied to investigate the distribution, regulation, function, and crosstalk of metal(loid) ions in various physiological and pathological processes. Based on high-throughput multielemental analytical techniques and bioinformatics methods, it is possible to elucidate the correlation between the metabolism and homeostasis of diverse metals and complex diseases, in particular for cancer. This review aims to provide an overview of recent progress made in the application of metallomics in cancer research. We mainly focuses on the studies about metallomic profiling of different human biological samples for several major types of cancer, which reveal distinct and dynamic patterns of metal ion contents and the potential benefits of using such information in the detection and prognosis of these malignancies. Elevated levels of copper appear to be a significant risk factor for various cancers, and each type of cancer has a unique distribution of metals in biofluids, hair/nails, and tumor-affected tissues. Furthermore, associations between genetic variations in representative metalloprotein genes and cancer susceptibility have also been demonstrated. Overall, metallomics not only offers a better understanding of the relationship between metal dyshomeostasis and the development of cancer but also facilitates the discovery of new diagnostic and prognostic markers for cancer translational medicine.
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Affiliation(s)
- Yan Zhang
- Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518055, Guangdong Province, P. R. China.,Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518055, Guangdong Province, P. R. China
| | - Jie He
- Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518055, Guangdong Province, P. R. China
| | - Jiao Jin
- Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518055, Guangdong Province, P. R. China
| | - Cihan Ren
- Experimental High School Attached to Beijing Normal University, Beijing 100052, P. R. China
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