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Casillas FA, Martínez Fernández DE, Valle Y, Aceves Ramírez M, Parra-Reyna B, Sarabia Pulido S, Guzmán Sánchez CM, Flores Salinas HE, Muñoz Valle F, Padilla Gutiérrez JR. APOA1 (-75 G>A and 83 C>T) and APOB (2488 C>T) polymorphisms and their association with myocardial infarction, lipids and apolipoproteins in patients with type 2 diabetes mellitus. Arch Med Sci 2022; 18:1438-1445. [PMID: 36457989 PMCID: PMC9710253 DOI: 10.5114/aoms/108674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 04/20/2019] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION The increased risk of myocardial infarction (MI) in type 2 diabetes mellitus (T2DM) is well documented. Polymorphisms in APOA1 and APOB genes allow us to identify new genetic markers in the Mexican population with T2DM and MI. MATERIAL AND METHODS We studied 135 patients with DMT2 and MI (DI); another 85 non-infarcted diabetic individuals with DMT2 but without previous ischemic events (NID) and 242 healthy subjects (HS). All three groups were selected with the aim to investigate the association between the polymorphisms and infarction when T2DM is present or absent. RESULTS -75 G>A polymorphism: Differences were found in genotype distribution between DI and NID individuals (OR = 2.01, 95% CI: 1.117-3.623, p = 0.019) with an increased risk for A in the dominant model (OR = 1.77, 95% CI: 1.020-3.084, p = 0.042); also concentrations of ApoA-I for A/A were lower in comparison with G/A (p = 0.038) and LDL-C and HDL-C levels were lower in G/A compared to G/G carriers. 83 C>T polymorphism of APOA1: For DI individuals, HDL-C was lower in T/T compared to C/C and triglyceride levels were lower in C/T compared to C/C carriers. CONCLUSIONS The -75 G>A APOA1 polymorphism could be considered as a susceptibility factor for myocardial infarction in individuals with T2DM and 2488 C>T APOB polymorphism is associated with changes in HDL-C and LDL-C and triglycerides in the same group.
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Affiliation(s)
- Fidel Antonio Casillas
- Instituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Guadalajara, Jalisco, Mexico
| | - Diana Emilia Martínez Fernández
- Instituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico
- Doctorado en Ciencias Biomédicas, Orientación en Inmunología, Centro Universitario de Ciencias de la Salud, Guadalajara, Jalisco, Mexico
| | - Yeminia Valle
- Instituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico
| | - Maricela Aceves Ramírez
- Instituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Guadalajara, Jalisco, Mexico
| | - Brenda Parra-Reyna
- Instituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico
- Doctorado en Genética Humana, Centro Universitario de Ciencias de la Salud, Guadalajara, Jalisco, Mexico
| | - Salvador Sarabia Pulido
- Especialidad en Cardiología, Unidad Médica de Alta Especialidad, Centro Médico Nacional de Occidente (CMNO), Guadalajara, Jalisco, Mexico
- Departamento de Cardiología, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, JAL, México
| | - Cesar Manuel Guzmán Sánchez
- Especialidad en Cardiología, Unidad Médica de Alta Especialidad, Centro Médico Nacional de Occidente (CMNO), Guadalajara, Jalisco, Mexico
- Departamento de Cardiología, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, JAL, México
| | - Héctor Enrique Flores Salinas
- Especialidad en Cardiología, Unidad Médica de Alta Especialidad, Centro Médico Nacional de Occidente (CMNO), Guadalajara, Jalisco, Mexico
- Departamento de Cardiología, Instituto Mexicano del Seguro Social (IMSS), Guadalajara, JAL, México
| | - Francisco Muñoz Valle
- Instituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico
| | - Jorge Ramón Padilla Gutiérrez
- Instituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico
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Radisauskas R, Kim KV, Lange S, Liutkute-Gumarov V, Mesceriakova-Veliuliene O, Petkeviciene J, Stelemekas M, Telksnys T, Tran A, Rehm J. Cardiovascular diseases mortality and alcohol control policy in Lithuania: exploring a possible link. BMC Public Health 2021; 21:2116. [PMID: 34789207 PMCID: PMC8600709 DOI: 10.1186/s12889-021-12177-7] [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: 07/20/2021] [Accepted: 11/08/2021] [Indexed: 11/16/2022] Open
Abstract
Background Lithuania possesses one of the highest alcohol per capita consumption and has previously implemented alcohol control policies to reduce the alcohol-attributable burden. The aim of this study was to investigate Lithuanian cardiovascular disease (CVD) mortality rate trends between 2001 and 2018 and to explore a possible link between CVD mortality rate and alcohol control policy implementation. Methods Lithuanian population mortality and alcohol consumption data for 2001–2018 were obtained from Statistics Lithuania and The State Register of Death Cases and Their Causes, Institute of Hygiene. Sex-specific CVD mortality rates were directly standardized to the European standard population by five-year age groups and categorized according to the ICD-10 codes for all CVDs (I00-I99), ischemic heart disease (IHD) (I20-I25), cerebrovascular diseases (I60-I69) and alcoholic cardiomyopathy (ACM) (I42.6). Joinpoint regression analyses were performed to identify points of inflection to explore their alignment with five selected alcohol policy enactments. Results Overall, the 2001–2018 yearly mortality rates for all CVDs significantly decreased on average by − 1.6% (95% CI -2.0, − 1.2%) among men and − 2.1% (95% CI -2.5, − 1.8%) among women. Yearly changes in all CVDs, IHD, cerebrovascular diseases and ACM mortality rates were insignificant prior to their respective critical year points in 2006, 2005, 2008 and 2007, but significantly decreased afterwards by an average of − 2.4% (95% CI -2.7, − 2.0%), − 1.6% (95% CI -2.1, − 1.1%), − 1.2% (95 CI -1.7, − 0.6%) and − 4.5% (95% CI -7.3, − 1.6%) among men, and by − 2.7% (95% CI -3.0, − 2.3%), − 2.0% (95% CI -2.6, − 1.4%), − 1.8% (95% CI 2.4, − 1.3%) and − 6.6% (95% CI -10.7, − 2.2%) among women, respectively. The changes in the mortality rate trends for all CVDs, IHD, cerebrovascular diseases and especially ACM coincided with alcohol policies enacted on the January 1, 2008, January 1, 2009, April 1, 2014 and March 1, 2017. Conclusions Yearly mortality rates for all CVDs, IHD, cerebrovascular diseases and ACM have declined in Lithuania between 2001 and 2018, and declining trends were more prominent in women than in men. Among the ICD-10 CVD categories investigated, the points of inflection identified for the ACM mortality rate trend coincided best with the selected alcohol policy enactment dates.
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Affiliation(s)
- Ricardas Radisauskas
- Department of Environmental and Occupational Medicine, Faculty of Public Health, Lithuanian University of Health Sciences, Tilzes str. 18, 47181, Kaunas, Lithuania. .,Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu av. 15, 50162, Kaunas, Lithuania.
| | - Kawon Victoria Kim
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, Toronto, Ontario, M5T 2S1, Canada.,Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario, M5T 1P8, Canada
| | - Shannon Lange
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, Toronto, Ontario, M5T 2S1, Canada.,Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 33 Russell Street, Toronto, Ontario, M5T 2S1, Canada
| | - Vaida Liutkute-Gumarov
- Health Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilzes str. 18, 47181, Kaunas, Lithuania
| | - Olga Mesceriakova-Veliuliene
- Department of Health Management, Faculty of Public Health, Lithuanian University of Health Sciences, Tilzes str. 18, 47181, Kaunas, Lithuania
| | - Janina Petkeviciene
- Health Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilzes str. 18, 47181, Kaunas, Lithuania.,Department of Preventive Medicine, Faculty of Public Health, Lithuanian University of Health Sciences, Tilzes str. 18, 47181, Kaunas, Lithuania
| | - Mindaugas Stelemekas
- Health Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilzes str. 18, 47181, Kaunas, Lithuania.,Department of Preventive Medicine, Faculty of Public Health, Lithuanian University of Health Sciences, Tilzes str. 18, 47181, Kaunas, Lithuania
| | - Tadas Telksnys
- Health Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilzes str. 18, 47181, Kaunas, Lithuania
| | - Alexander Tran
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, Toronto, Ontario, M5T 2S1, Canada
| | - Jürgen Rehm
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Ursula Franklin Street, Toronto, Ontario, M5T 2S1, Canada.,Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario, M5T 1P8, Canada.,Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 33 Russell Street, Toronto, Ontario, M5T 2S1, Canada.,Institute of Clinical Psychology and Psychotherapy, Technische Universität Dresden, Chemnitzer str. 46, 01187, Dresden, Germany.,Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario, M5T 1R8, Canada.,Institute of Medical Science, University of Toronto, 1 King's College Circle, Toronto, Ontario, M5S 1A8, Canada.,Department of International Health Projects, Institute for Leadership and Health Management, I.M. Sechenov First Moscow State Medical University, Trubetskaya str., 8, b. 2, Moscow, Russian Federation, 119992
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Wang ZX, Ren SC, Ren J. Phosphotyrosine picked threonine kinase stimulates proliferation of human osteosarcoma cells in vitro and in vivo. Arch Med Sci 2021; 18:775-785. [PMID: 35591845 PMCID: PMC9102539 DOI: 10.5114/aoms/115135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 12/08/2019] [Indexed: 11/17/2022] Open
Abstract
Introduction Osteosarcoma (OS) is the most common primary bone tumor, and the main affected population is adolescents. The survival of OS patients was 10-20% when surgery was used as a single treatment. There is less basic research on OS than other tumors, and we need more ways to improve the survival rate. Phosphotyrosine picked threonine kinase (TTK) has been widely reported as an oncogene in multiple types of cancers, and it is also known as a clinical therapeutic target. This study aims to assess TTK expression levels in human OS tissues and its link with the clinical characteristics of OS patients, and to evaluate the potential role in OS development. Material and methods Immunohistochemical (IHC) assays were conducted to detect the expression levels of TTK in a total of 74 OS tissues and the corresponding adjacent tissues. Furthermore, according to the staining intensity of TTK in tumor tissues, patients were divided into TTK high and low expression groups. The possible correlation between TTK expression levels and clinical features were analyzed, and the effects of TTK on OS cell proliferation were detected through colony formation and cell counting kit-8 (CCK8) assays. The effects of TTK on tumor growth were detected using an animal model. Results Phosphotyrosine picked threonine kinase was abnormally highly expressed in human OS tissues. Meanwhile, TTK was significantly correlated with the clinical characteristics such as tumor size (p = 0.004*) and clinical stage (p = 0.014*) of OS patients. Our results also revealed that the inhibition of TTK dramatically suppressed the proliferation of OS cells in vitro and blocked tumor growth in mice. Conclusions We demonstrated the involvement of TTK in the development of OS, and therefore we suggest that TTK should be considered as a promising therapy target for OS.
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Affiliation(s)
- Zhe-Xiang Wang
- The School of Medical Laboratory, Tianjin Medical University, Tianjin, China
| | - Shao-Chun Ren
- Stomatology, Tianjin Medical University, Tianjin, China
| | - Jing Ren
- Precision Medicine Center, Tianjin Medical University General Hospital, Tianjin, China
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