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Zhuang L, Li C, Hu X, Yang Q, Pei X, Jin G. High expression of P4HA3 in obesity: a potential therapeutic target for type 2 diabetes. Braz J Med Biol Res 2022; 55:e11741. [PMID: 35976267 PMCID: PMC9377532 DOI: 10.1590/1414-431x2022e11741] [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: 11/18/2021] [Accepted: 05/19/2022] [Indexed: 11/22/2022] Open
Abstract
The aims of the present study were to evaluate the expression of prolyl 4-hydroxylase subunit alpha 3 (P4HA3) in adipocytes and adipose tissue and to explore its effect on obesity and type 2 diabetes mellitus (T2DM). We initially demonstrated that P4HA3 was significantly upregulated in the subcutaneous adipose tissue of obesity and T2DM patients, and its functional roles in adipocyte differentiation and insulin resistance were investigated using in vitro and in vivo models. The knockdown of P4HA3 inhibited adipocyte differentiation and improved insulin resistance in 3T3-L1 cells. In C57BL/6J db/db mice fed with a high fat diet (HFD), silencing P4HA3 significantly decreased fasting blood glucose and triglycerides (TG) levels, with concomitant decrease of body weight and adipose tissue weight. Further analysis showed that P4HA3 knockdown was correlated with the augmented IRS-1/PI3K/Akt/FoxO1 signaling pathway in the adipose and hepatic tissues of obese mice, which could improve hepatic glucose homeostasis and steatosis of mice. Together, our study suggested that the dysregulation of P4HA3 may contribute to the development of obesity and T2DM.
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Affiliation(s)
- Langen Zhuang
- Department of Endocrinology, The First Affiliated Hospital of
Bengbu Medical College, Bengbu, Anhui, China
| | - Can Li
- Shangyi Health Check-up Centre, Zibo, Shandong, China
| | - Xiaolei Hu
- Department of Endocrinology, The First Affiliated Hospital of
Bengbu Medical College, Bengbu, Anhui, China
| | - Qingqing Yang
- Department of Endocrinology, The First Affiliated Hospital of
Bengbu Medical College, Bengbu, Anhui, China
| | - Xiaoyan Pei
- Department of Endocrinology, The First Affiliated Hospital of
Bengbu Medical College, Bengbu, Anhui, China
| | - Guoxi Jin
- Department of Endocrinology, The First Affiliated Hospital of
Bengbu Medical College, Bengbu, Anhui, China
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Ethnicity Differences in the Association of UCP1-3826A/G, UCP2-866G/A and Ala55Val, and UCP3-55C/T Polymorphisms with Type 2 Diabetes Mellitus Susceptibility: An Updated Meta-Analysis. BIOMED RESEARCH INTERNATIONAL 2021; 2021:3482879. [PMID: 34712730 PMCID: PMC8548105 DOI: 10.1155/2021/3482879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 10/04/2021] [Indexed: 01/19/2023]
Abstract
Background The relationship between uncoupling protein (UCP) 1-3 polymorphisms and susceptibility to type 2 diabetes mellitus (T2DM) has been extensively studied, while conclusions remain contradictory. Thus, we performed this meta-analysis to elucidate whether the UCP1-3826A/G, UCP2-866G/A, Ala55Val, and UCP3-55C/T polymorphisms are associated with T2DM. Methods Eligible studies were searched from PubMed, Cochrane Library, and Web of Science database before 12 July 2020. Pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were calculated to evaluate the strength of the association. Heterogeneity analysis, subgroup analysis, sensitivity analysis, and publication bias were also performed. Results A total of 38 case-control studies were included in this meta-analysis. The overall results revealed significant association between T2DM and the UCP2 Ala55Val polymorphism (recessive model: OR = 1.25, 95% CI 1.12-1.40, P < 0.01; homozygous model: OR = 1.33, 95% CI 1.03-1.72, P = 0.029, respectively). In subgroup analysis stratified by ethnicity, T2DM risk was increased with the UCP2 Ala55Val polymorphism (allele model: OR = 1.17, 95% CI 1.02-1.34, P = 0.023; recessive model: OR = 1.28, 95% CI 1.13-1.45, P < 0.01; homozygous model: OR = 1.39, 95% CI 1.05-1.86, P = 0.023, respectively), while decreased with the UCP2-866G/A polymorphism in Asians (dominant model: OR = 0.86, 95% CI 0.74-1.00, P = 0.045). Conclusions Our results demonstrate that the UCP2-866G/A polymorphism is protective against T2DM, while the UCP2 Ala55Val polymorphism is susceptible to T2DM in Asians.
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Abd El Daim HA, Elsaid AM, Mousa AA, El-Eshmawy MM, Lashin LS, Toraih EA, Elshazli RM. Unleash the Association of Mitochondrial Uncoupling Protein (UCP2) Promoter Variant (G-866A; rs659366) with Obesity: Stepping from a Case-Control Study to a Meta-analysis. Biochem Genet 2020; 58:738-770. [PMID: 32474746 DOI: 10.1007/s10528-020-09973-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Accepted: 05/22/2020] [Indexed: 12/12/2022]
Abstract
Numerous eligible articles investigated the potential impact of the promoter region of UCP2 (rs659366) variant and the susceptibility for obesity with questionable outcomes. Our team designed this case-control combined with meta-analysis survey to illustrate the contribution of this variant with obesity. This case-control survey was formulated based on 110 obese Egyptian patients and 122 non-obese controls. Genomic DNA was amplified for ascertaining of UCP2 (G-866A; rs659366) variant exploiting the PCR-RFLP technique. A literature search was completed to investigate the involvement of this variant with obesity from various genetic databases. In this case-control study, the distribution of UCP2 (rs659366) variant showed a significant association with obesity among Egyptian subjects under allelic and dominant models (P value = 0.0006 and < 0.001, respectively). Overall, twenty-five comparisons for this variant (8652 obese patients and 10,075 non-obese controls) were recruited in this meta-analysis survey. A noteworthy association of UCP2 (rs659366) variant with obesity was identified among Asians and Africans but not Caucasians under allelic, dominant as well as heterozygote models. Nevertheless, this meta-analysis could not accomplish a noticeable association with overall subjects under different genetic models. This case-controlled study revealed a robust association for UCP2 (rs659366) variant with obesity susceptibility in Egyptian subjects; however, this meta-analysis survey failed to achieve an association for this variant with obesity in overall subjects except among Asians and Africans.
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Affiliation(s)
| | - Afaf M Elsaid
- Genetic Unit, Children Hospital, Mansoura University, Mansoura, Egypt
| | - Amany A Mousa
- Department of Internal Medicine, Specialized Medical Hospital, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Mervat M El-Eshmawy
- Department of Internal Medicine, Specialized Medical Hospital, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Lashin S Lashin
- Department of Medical Physiology, Faculty of Medicine, Mansoura University, Mansoura, Egypt.,Department of Medical Physiology, Horus University - Egypt, New Damietta, Egypt
| | - Eman A Toraih
- Department of Surgery, School of Medicine, Tulane University, New Orleans, LA, USA.,Genetics Unit, Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Rami M Elshazli
- Department of Biochemistry, Faculty of Physical Therapy, Horus University - Egypt, New Damietta, Egypt.
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Vesnina A, Prosekov A, Kozlova O, Atuchin V. Genes and Eating Preferences, Their Roles in Personalized Nutrition. Genes (Basel) 2020; 11:genes11040357. [PMID: 32230794 PMCID: PMC7230842 DOI: 10.3390/genes11040357] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 03/20/2020] [Accepted: 03/26/2020] [Indexed: 12/20/2022] Open
Abstract
At present, personalized diets, which take into account consumer genetic characteristics, are growing popular. Nutrigenetics studies the effect of gene variations on metabolism and nutrigenomics, which branches off further and investigates how nutrients and food compounds affect genes. This work deals with the mutations affecting the assimilation of metabolites, contributing to nutrigenetic studies. We searched for the genes responsible for eating preferences which allow for the tailoring of personalized diets. Presently, genetic nutrition is growing in demand, as it contributes to the prevention and/or rehabilitation of non-communicable diseases, both monogenic and polygenic. In this work, we showed single-nucleotide polymorphisms in genes-missense mutations that change the functions of coded proteins, resulting in a particular eating preferences or a disease. We studied the genes influencing food preferences-particularly those responsible for fats and carbohydrates absorption, food intolerance, metabolism of vitamins, taste sensations, oxidation of xenobiotics, eating preferences and food addiction. As a result, 34 genes were identified that affect eating preferences. Significant shortcomings were found in the methods/programs for developing personalized diets that are used today, and the weaknesses were revealed in the development of nutrigenetics (inconsistency of data on SNP genes, ignoring population genetics data, difficult information to understand consumer, etc.). Taking into account all the shortcomings, an approximate model was proposed in the review for selecting an appropriate personalized diet. In the future, it is planned to develop the proposed model for the compilation of individual diets.
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Affiliation(s)
- Anna Vesnina
- Department of Bionanotechnology, Kemerovo State University, 650043 Kemerovo, Russia; (A.V.); (O.K.)
| | - Alexander Prosekov
- Laboratory of Biocatalysis, Kemerovo State University, 650043 Kemerovo, Russia;
| | - Oksana Kozlova
- Department of Bionanotechnology, Kemerovo State University, 650043 Kemerovo, Russia; (A.V.); (O.K.)
| | - Victor Atuchin
- Laboratory of Optical Materials and Structures, Institute of Semiconductor Physics, 630090 Novosibirsk, Russia
- Laboratory of Semiconductor and Dielectric Materials, Novosibirsk State University, 630090 Novosibirsk, Russia
- Research and Development Department, Kemerovo State University, 650000 Kemerovo, Russia
- Correspondence: ; Tel.: +7-(383)-3308889
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Dabic S, Azarbaijani Y, Karapetyan T, Loyo-Berrios N, Simonyan V, Kitchner T, Brilliant M, Torosyan Y. Development of an Integrated Platform Using Multidisciplinary Real-World Data to Facilitate Biomarker Discovery for Medical Products. Clin Transl Sci 2019; 13:98-109. [PMID: 31386280 PMCID: PMC6951466 DOI: 10.1111/cts.12685] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Accepted: 06/26/2019] [Indexed: 12/16/2022] Open
Abstract
Translational multidisciplinary research is important for the Center for Devices and Radiological Health's efforts for utilizing real‐world data (RWD) to enhance predictive evaluation of medical device performance in patient subpopulations. As part of our efforts for developing new RWD‐based evidentiary approaches, including in silico discovery of device‐related risk predictors and biomarkers, this study aims to characterize the sex/race‐related trends in hip replacement outcomes and identify corresponding candidate single nucleotide polymorphisms (SNPs). Adverse outcomes were assessed by deriving RWD from a retrospective analysis of hip replacement hospital discharge data from the National Inpatient Sample (NIS). Candidate SNPs were explored using pre‐existing data from the Personalized Medicine Research Project (PMRP). High‐Performance Integrated Virtual Environment was used for analyzing and visualizing putative associations between SNPs and adverse outcomes. Ingenuity Pathway Analysis (IPA) was used for exploring plausibility of the sex‐related candidate SNPs and characterizing gene networks associated with the variants of interest. The NIS‐based epidemiologic evidence showed that periprosthetic osteolysis (PO) was most prevalent among white men. The PMRP‐based genetic evidence associated the PO‐related male predominance with rs7121 (odds ratio = 4.89; 95% confidence interval = 1.41−17.05) and other candidate SNPs. SNP‐based IPA analysis of the expected gene expression alterations and corresponding signaling pathways suggested possible role of sex‐related metabolic factors in development of PO, which was substantiated by ad hoc epidemiologic analysis identifying the sex‐related differences in metabolic comorbidities in men vs. women with hip replacement‐related PO. Thus, our in silico study illustrates RWD‐based evidentiary approaches that may facilitate cost/time‐efficient discovery of biomarkers for informing use of medical products.
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Affiliation(s)
- Stefan Dabic
- Center for Devices and Radiological Health, US Food and Drug Administration (CDRH/FDA), Silver Spring, Maryland, USA.,High-Performance Integrated Virtual Environment (HIVE), US Food and Drug Administration (FDA), Silver Spring, Maryland, USA
| | - Yasameen Azarbaijani
- Center for Devices and Radiological Health, US Food and Drug Administration (CDRH/FDA), Silver Spring, Maryland, USA
| | - Tigran Karapetyan
- Center for Devices and Radiological Health, US Food and Drug Administration (CDRH/FDA), Silver Spring, Maryland, USA
| | - Nilsa Loyo-Berrios
- Center for Devices and Radiological Health, US Food and Drug Administration (CDRH/FDA), Silver Spring, Maryland, USA
| | - Vahan Simonyan
- High-Performance Integrated Virtual Environment (HIVE), US Food and Drug Administration (FDA), Silver Spring, Maryland, USA
| | - Terrie Kitchner
- Center for Human Genetics, Marshfield Clinic Research Institute (MCRI), Marshfield, Wisconsin, USA
| | - Murray Brilliant
- Center for Human Genetics, Marshfield Clinic Research Institute (MCRI), Marshfield, Wisconsin, USA
| | - Yelizaveta Torosyan
- Center for Devices and Radiological Health, US Food and Drug Administration (CDRH/FDA), Silver Spring, Maryland, USA
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Association of genetic polymorphisms of SelS with Type 2 diabetes in a Chinese population. Biosci Rep 2018; 38:BSR20181696. [PMID: 30413610 PMCID: PMC6259018 DOI: 10.1042/bsr20181696] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2018] [Revised: 11/03/2018] [Accepted: 11/06/2018] [Indexed: 01/11/2023] Open
Abstract
Background: Selenoprotein S (SelS) gene expression is positively correlated to triglyceride (TG) concentrations and is associated with diabetes in animal model. However, the relationship between genetic polymorphisms of SelS and Type 2 diabetes (T2DM) remains unclear. Methods: In the present study, we genotyped four single nucleotide polymorphisms (rs12910524, rs1384565, rs2101171, rs4965814) of SelS gene using TaqMan genotyping method in a case-control study (1947 T2DM patients and 1639 control subjects). Results: We found both rs1384565 CC genotype (12.1 compared with 6.6%, P<0.001) and C allele (35.2 compared with 24.4%, P<0.001) were more frequent in the T2DM patients than in the controls. Logistic regression analysis suggested after adjustment of other confounders, the difference remained significant between the two groups (CC compared with TT, P=0.002, OR = 1.884, 95% CI: 1.263-2.811; CT compared with TT, P<0.001, OR = 1.764, 95% CI: 1.412-2.204). Conclusion: The present study suggested that genetic polymorphisms of SelS were associated with T2DM in a Chinese population.
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Sikhayeva N, Iskakova A, Saigi-Morgui N, Zholdybaeva E, Eap CB, Ramanculov E. Association between 28 single nucleotide polymorphisms and type 2 diabetes mellitus in the Kazakh population: a case-control study. BMC MEDICAL GENETICS 2017; 18:76. [PMID: 28738793 PMCID: PMC5525290 DOI: 10.1186/s12881-017-0443-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 07/13/2017] [Indexed: 02/06/2023]
Abstract
Background We evaluated the associations between single nucleotide polymorphisms and different clinical parameters related to type 2 diabetes mellitus (T2DM), obesity risk, and metabolic syndrome (MS) in a Kazakh cohort. Methods A total of 1336 subjects, including 408 T2DM patients and 928 control subjects, were recruited from an outpatient clinic and genotyped for 32 polymorphisms previously associated with T2DM and obesity-related phenotypes in other ethnic groups. For association studies, the chi-squared test or Fisher’s exact test for binomial variables were used. Logistic regression was conducted to explore associations between the studied SNPs and the risk of developing T2DM, obesity, and MS, after adjustments for age and sex. Results After excluding four SNPs due to Hardy-Weinberg disequilibrium, significant associations in age-matched cohorts were found betweenT2DM and the following SNPs: rs9939609 (FTO), rs13266634 (SLC30A8), rs7961581 (TSPAN8/LGR5), and rs1799883 (FABP2). In addition, examination of general unmatched T2DM and control cohorts revealed significant associations between T2DM and SNPsrs1799883 (FABP2) and rs9939609 (FTO). Furthermore, polymorphisms in the FTO gene were associated with increased obesity risk, whereas polymorphisms in the FTO and FABP2 genes were also associated with the risk of developing MS in general unmatched cohorts. Conclusion We confirmed associations between polymorphisms within the SLC30A8, TSPAN8/LGR5, FABP2, and FTO genes and susceptibility to T2DM in a Kazakh cohort, and revealed significant associations with anthropometric and metabolic traits. In particular, FTO and FABP2 gene polymorphisms were significantly associated with susceptibility to MS and obesity in this cohort. Electronic supplementary material The online version of this article (doi:10.1186/s12881-017-0443-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nurgul Sikhayeva
- National Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan. .,L.N. Gumilyov Eurasian National University, Astana, Kazakhstan.
| | - Aisha Iskakova
- National Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan
| | - Nuria Saigi-Morgui
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, 1008, Prilly-Lausanne, Switzerland
| | - Elena Zholdybaeva
- National Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan
| | - Chin-Bin Eap
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, 1008, Prilly-Lausanne, Switzerland.,School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland
| | - Erlan Ramanculov
- National Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan.,L.N. Gumilyov Eurasian National University, Astana, Kazakhstan.,School of Science and Technology, Nazarbayev University, Astana, Kazakhstan
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8
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Miller R, Smiley R, Thom EA, Grobman WA, Iams JD, Mercer BM, Saade G, Tita AT, Reddy UM, Rouse DJ, Sorokin Y, Blackwell SC, Esplin MS, Tolosa JE, Caritis SN. The association of beta-2 adrenoceptor genotype with short-cervix mediated preterm birth: a case-control study. BJOG 2015; 122:1387-94. [PMID: 25600430 PMCID: PMC4508241 DOI: 10.1111/1471-0528.13243] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/31/2014] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To determine whether β2 -adrenoceptor (β2 AR) genotype is associated with shortening of the cervix or with preterm birth (PTB) risk among women with a short cervix in the second trimester. DESIGN A case-control ancillary study to a multicentre randomised controlled trial. SETTING Fourteen participating centres of the Maternal-Fetal Medicine Units Network of the Eunice Kennedy Shriver National Institute of Child Health and Human Development. POPULATION Four hundred thirty-nine women, including 315 with short cervix and 124 with normal cervical length. METHODS Nulliparous women with cervical length <30 mm upon a 16-22-week transvaginal sonogram and controls frequency-matched for race/ethnicity with cervical lengths ≥40 mm were studied. β2 AR genotype was determined at positions encoding for amino acid residues 16 and 27. MAIN OUTCOME MEASURES Genotype distributions were compared between case and control groups. Within the short cervix group, pregnancy outcomes were compared by genotype, with a primary outcome of PTB <37 weeks. RESULTS Genotype data were available at position 16 for 433 women and at position 27 for 437. Using a recessive model testing for association between short cervix and genotype, and adjusted for ethnicity, there was no statistical difference between cases and controls for Arg16 homozygosity (OR 0.7, 95% CI 0.4-1.3) or Gln27 homozygosity (OR 0.9, 95% CI 0.3-2.7). Among cases, Arg16 homozygosity was not associated with protection from PTB or spontaneous PTB. Gln27 homozygosity was not associated with PTB risk, although sample size was limited. CONCLUSIONS β2 AR genotype does not seem to be associated with short cervical length or with PTB following the second-trimester identification of a short cervix. Influences on PTB associated with β2 AR genotype do not appear to involve a short cervix pathway.
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Affiliation(s)
- R Miller
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - R Smiley
- Division of Obstetrical Anesthesiology, Department of Anesthesiology, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - E A Thom
- The George Washington University Biostatistics Center, Washington, DC, USA
| | - W A Grobman
- Departments of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA
| | - J D Iams
- The Ohio State University, Columbus, OH, USA
| | - B M Mercer
- Case Western Reserve University-MetroHealth Medical Center, Cleveland, OH, USA
| | - G Saade
- University of Texas Medical Branch, Galveston, TX, USA
| | - A T Tita
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - U M Reddy
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - D J Rouse
- Brown University, Providence, RI, USA
| | - Y Sorokin
- Wayne State University, Detroit, MI, USA
| | - S C Blackwell
- The University of Texas Health Science Center at Houston-Children's Memorial Hermann Hospital, Houston, TX, USA
| | - M S Esplin
- University of Utah Health Sciences Center, Salt Lake City, UT, USA
| | - J E Tolosa
- Oregon Health and Science University, Portland, OR, USA
| | - S N Caritis
- University of Pittsburgh, Pittsburgh, PA, USA
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Brondani LDA, de Almeida Brondani L, de Souza BM, Assmann TS, Bouças AP, Bauer AC, Canani LH, Crispim D. Association of the UCP polymorphisms with susceptibility to obesity: case-control study and meta-analysis. Mol Biol Rep 2014; 41:5053-67. [PMID: 24752406 DOI: 10.1007/s11033-014-3371-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2013] [Accepted: 04/05/2014] [Indexed: 12/25/2022]
Abstract
This paper describes a case-control study and a meta-analysis performed to evaluate if the following polymorphisms are associated with presence of obesity: -3826A/G (UCP1); -866G/A, Ala55Val and Ins/Del (UCP2) and -55C/T (UCP3). The case-control study enrolled 282 obese and 483 non-obese patients with type 2 diabetes. A literature search was made to identify all studies that evaluated associations between UCP1-3 polymorphisms and obesity. In the case-control study the distributions of the UCP variants did not differ between obese and non-obese groups (P > 0.05). Forty-seven studies were eligible for the meta-analysis and the results showed that the UCP2 -866G/A and UCP3 -55C/T polymorphisms were associated with protection to obesity in Europeans (OR = 0.89, 95% CI 0.82-0.97 and OR = 0.88, 95% CI 0.80-0.97, respectively). The UCP2 Ala55 val polymorphism was associated with obesity in Asians (OR = 1.61, 95% CI 1.13-2.30). The UCP2 Ins/Del polymorphism was associated with obesity mainly in Europeans (OR = 1.19, 95% CI 1.00-1.42). There was no significant association of the UCP1 -3826A/G polymorphism with obesity. In our case-control study we were not able to demonstrate any association between UCP polymorphisms and obesity in T2DM patients; however, in the meta-analysis we detected a significant association of UCP2 -866G/A, Ins/Del, Ala55Val and UCP3 -55C/T polymorphisms with obesity.
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de Souza BM, Brondani LA, Bouças AP, Sortica DA, Kramer CK, Canani LH, Leitão CB, Crispim D. Associations between UCP1 -3826A/G, UCP2 -866G/A, Ala55Val and Ins/Del, and UCP3 -55C/T polymorphisms and susceptibility to type 2 diabetes mellitus: case-control study and meta-analysis. PLoS One 2013; 8:e54259. [PMID: 23365654 PMCID: PMC3554780 DOI: 10.1371/journal.pone.0054259] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2012] [Accepted: 12/10/2012] [Indexed: 12/30/2022] Open
Abstract
Background Some studies have reported associations between five uncoupling protein (UCP) 1–3 polymorphisms and type 2 diabetes mellitus (T2DM). However, other studies have failed to confirm the associations. This paper describes a case-control study and a meta-analysis conducted to attempt to determine whether the following polymorphisms are associated with T2DM: -3826A/G (UCP1); -866G/A, Ala55Val and Ins/Del (UCP2) and -55C/T (UCP3). Methods The case-control study enrolled 981 T2DM patients and 534 nondiabetic subjects, all of European ancestry. A literature search was run to identify all studies that investigated associations between UCP1–3 polymorphisms and T2DM. Pooled odds ratios (OR) were calculated for allele contrast, additive, recessive, dominant and co-dominant inheritance models. Sensitivity analyses were performed after stratification by ethnicity. Results In the case-control study the frequencies of the UCP polymorphisms did not differ significantly between T2DM and nondiabetic groups (P>0.05). Twenty-three studies were eligible for the meta-analysis. Meta-analysis results showed that the Ala55Val polymorphism was associated with T2DM under a dominant model (OR = 1.27, 95% CI 1.03–1.57); while the -55C/T polymorphism was associated with this disease in almost all genetic models: allele contrast (OR = 1.17, 95% CI 1.02–1.34), additive (OR = 1.32, 95% CI 1.01–1.72) and dominant (OR = 1.18, 95% CI 1.02–1.37). However, after stratification by ethnicity, the UCP2 55Val and UCP3 -55C/T alleles remained associated with T2DM only in Asians (OR = 1.25, 95% CI 1.02–1.51 and OR = 1.22, 95% CI 1.04–1.44, respectively; allele contrast model). No significant association of the -3826A/G, -866G/A and Ins/Del polymorphisms with T2DM was observed. Conclusions In our case-control study of people with European ancestry we were not able to demonstrate any association between the UCP polymorphisms and T2DM; however, our meta-analysis detected a significant association between the UCP2 Ala55Val and UCP3 -55C/T polymorphisms and increased susceptibility for T2DM in Asians.
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Affiliation(s)
- Bianca M. de Souza
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil
| | - Letícia A. Brondani
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil
| | - Ana P. Bouças
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil
| | - Denise A. Sortica
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil
| | - Caroline K. Kramer
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Luís H. Canani
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil
| | - Cristiane B. Leitão
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil
| | - Daisy Crispim
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Postgraduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, Brazil
- * E-mail:
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Alghasham A, Ali A, Ismail H, Dowaidar M, Settin AA. CYP2J2 −50 G/T and ADRB2 G46A Gene Polymorphisms in Saudi Subjects with Hypertension. Genet Test Mol Biomarkers 2012; 16:1027-31. [DOI: 10.1089/gtmb.2012.0006] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Abdullah Alghasham
- Molecular Biology Research Center, Qassim University, Buraydah, Saudi Arabia
- Pharmacology Department, Qassim University, Buraydah, Saudi Arabia
| | - Ahmad Ali
- Molecular Biology Research Center, Qassim University, Buraydah, Saudi Arabia
| | - Hisham Ismail
- Clinical Pathology Department, College of Medicine, Qassim University, Buraydah, Saudi Arabia
| | - Moataz Dowaidar
- Molecular Biology Research Center, Qassim University, Buraydah, Saudi Arabia
| | - Ahmad A. Settin
- Molecular Biology Research Center, Qassim University, Buraydah, Saudi Arabia
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The frequent UCP2 -866G>A polymorphism protects against insulin resistance and is associated with obesity: a study of obesity and related metabolic traits among 17 636 Danes. Int J Obes (Lond) 2012; 37:175-81. [PMID: 22349573 DOI: 10.1038/ijo.2012.22] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
CONTEXT Uncoupling protein 2 (UCP2) is involved in regulating ATP synthesis, generation of reactive oxygen species and glucose-stimulated insulin secretion in β-cells. Polymorphisms in UCP2 may be associated with obesity and type 2 diabetes mellitus. OBJECTIVE To determine the influence of a functional UCP2 promoter polymorphism (-866G>A, rs659366) on obesity, type 2 diabetes and intermediary metabolic traits. Furthermore, to include these and previously published data in a meta-analysis of this variant with respect to its impact on obesity and type 2 diabetes. DESIGN We genotyped UCP2 rs659366 in a total of 17 636 Danish individuals and established case-control studies of obese and non-obese subjects and of type 2 diabetic and glucose-tolerant subjects. Meta-analyses were made in own data set and in publicly available data sets. Quantitative traits relevant for obesity and type 2 diabetes were analysed within separate study populations. RESULTS We found no consistent associations between the UCP2 -866G-allele and obesity or type 2 diabetes. Yet, a meta-analysis of data from 12 984 subjects showed an association with obesity (GA vs GG odds ratio (OR) (95% confidence interval (CI)): 0.894(0.826-0.968) P=0.00562, and AA vs GG OR(95% CI): 0.892(0.800-0.996), P=0.0415. Moreover, a meta-analysis for type 2 diabetes of 15 107 individuals showed no association. The -866G-allele was associated with elevated fasting serum insulin levels (P=0.002) and HOMA insulin resistance index (P=0.0007). Insulin sensitivity measured during intravenous glucose tolerance test in young Caucasian subjects (n=377) was decreased in carriers of the GG genotype (P=0.05). CONCLUSIONS The UCP2 -866G-allele is associated with decreased insulin sensitivity in Danish subjects and is associated with obesity in a combined meta-analysis.
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Xu K, Zhang M, Cui D, Fu Y, Qian L, Gu R, Wang M, Shen C, Yu R, Yang T. UCP2 -866G/A and Ala55Val, and UCP3 -55C/T polymorphisms in association with type 2 diabetes susceptibility: a meta-analysis study. Diabetologia 2011; 54:2315-24. [PMID: 21751002 DOI: 10.1007/s00125-011-2245-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2011] [Accepted: 06/20/2011] [Indexed: 11/24/2022]
Abstract
AIMS/HYPOTHESIS A meta-analysis was performed to assess the association between the UCP2 -866G/A, UCP2 Ala55Val and UCP3 -55C/T polymorphisms and type 2 diabetes susceptibility. METHODS A literature-based search was conducted to identify all relevant studies. The fixed or random effect pooled measure was calculated mainly at the allele level to determine heterogeneity bias among studies. Further analyses were performed that stratified for ethnicity. RESULTS We examined 17 publications. Stratified analysis for ethnicity and sensitivity analysis revealed that there was no heterogeneity between studies for these variants. Using an additive model, no significant association of the UCP2 -866G/A polymorphism with type 2 diabetes risk was observed, either in participants of Asian (OR 1.05, 95% CI 0.96, 1.16) or of European (OR 1.03, 95% CI 0.99, 1.07) descent. Neither the UCP2 Ala55Val nor the UCP3 -55C/T polymorphism showed any significant association with type 2 diabetes risk in Europeans (OR 1.04, 95% CI 0.98, 1.09 for Ala55Val; OR 1.04, 95% CI 1.00, 1.09 for -55C/T). In contrast, a statistically significant association was observed for both polymorphisms in participants of Asian descent (OR 1.23, 95% CI 1.12, 1.36 for Ala55Val; OR 1.15, 95% CI 1.03, 1.28 for -55C/T). CONCLUSIONS/INTERPRETATION Our meta-analysis suggests that the UCP2 -866G/A polymorphism is unlikely to be associated with increased type 2 diabetes risk in the populations investigated. In contrast, our results indicate that the UCP2 Ala55Val and UCP3 -55C/T polymorphisms may indeed be risk factors for susceptibility to type 2 diabetes in individuals of Asian descent, but not in individuals of European descent. This conclusion warrants confirmation by further studies.
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Affiliation(s)
- K Xu
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 Jiangsu, China
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Prior SJ, Goldberg AP, Ryan AS. ADRB2 haplotype is associated with glucose tolerance and insulin sensitivity in obese postmenopausal women. Obesity (Silver Spring) 2011; 19:396-401. [PMID: 20829805 PMCID: PMC3056391 DOI: 10.1038/oby.2010.197] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The β(2)-adrenergic receptor (ADRB2) mediates obesity, cardiorespiratory fitness, and insulin resistance. We examined the hypothesis that ADRB2 Arg16Gly-Gln27Glu haplotype is associated with body composition, glucose tolerance, and insulin sensitivity in obese, postmenopausal women. Obese (>35% body fat), postmenopausal (age 45-75 years) women (n = 123) underwent genotyping, dual-energy X-ray absorptiometry, and computed tomography scans, exercise testing (VO(2(max))), 2-h oral glucose tolerance tests (OGTTs), and hyperinsulinemic-euglycemic clamps (80 mU/m(2)/min). Analysis of covariance (ANCOVA) tested for differences among haplotypes, with race, % body fat, and VO(2(max)) as covariates. We found that ADRB2 haplotype was independently associated with % body fat, abdominal fat distribution, VO(2(max)), insulin sensitivity (M/ΔInsulin), and glucose tolerance (ANOVA, P < 0.05 for all). Women homozygous for Gly16-Gln27 haplotype had the highest % body fat (52.7 ± 1.9%), high abdominal fat, low M/ΔInsulin (0.49 ± 0.08 mg/kg/min/pmol/l/10(2)), and impaired glucose tolerance (IGT) during an OGTT (G(120) = 10.2 ± 0.9 mmol/l). Women homozygous for Gly16-Glu27 haplotype also had low M/ΔInsulin (0.51 ± 0.05 mg/kg/min/pmol/l/10(2)) and IGT (G(120) = 8.2 ± 0.7 mmol/l). Subjects with Arg16-Gln27/Gly16-Gln27 haplotype combination had the highest VO(2(max)) (1.84 ± 0.07 l/min) and M/ΔInsulin (0.7 ± 0.04 mg/kg/min/pmol/l/10(2)), and normal glucose tolerance (G(120) = 6.4 ± 0.4 mmol/l), despite being obese. These data show associations of the ADRB2 Arg16Gly-Gln27Glu haplotype with VO(2(max)) and body composition, and an independent association with glucose metabolism, which persists after controlling for body composition and fitness. This suggests that ADRB2 haplotypes may mediate insulin action, glucose tolerance, and potentially risk for type 2 diabetes mellitus (T2DM) in obese, postmenopausal women.
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Affiliation(s)
- Steven J Prior
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
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Lessard SJ, Rivas DA, Stephenson EJ, Yaspelkis BB, Koch LG, Britton SL, Hawley JA. Exercise training reverses impaired skeletal muscle metabolism induced by artificial selection for low aerobic capacity. Am J Physiol Regul Integr Comp Physiol 2010; 300:R175-82. [PMID: 21048074 DOI: 10.1152/ajpregu.00338.2010] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
We have used a novel model of genetically imparted endurance exercise capacity and metabolic health to study the genetic and environmental contributions to skeletal muscle glucose and lipid metabolism. We hypothesized that metabolic abnormalities associated with low intrinsic running capacity would be ameliorated by exercise training. Selective breeding for 22 generations resulted in rat models with a fivefold difference in intrinsic aerobic capacity. Low (LCR)- and high (HCR)-capacity runners remained sedentary (SED) or underwent 6 wk of exercise training (EXT). Insulin-stimulated glucose transport, insulin signal transduction, and rates of palmitate oxidation were lower in LCR SED vs. HCR SED (P < 0.05). Decreases in glucose and lipid metabolism were associated with decreased β₂-adrenergic receptor (β₂-AR), and reduced expression of Nur77 target proteins that are critical regulators of muscle glucose and lipid metabolism [uncoupling protein-3 (UCP3), fatty acid transporter (FAT)/CD36; P < 0.01 and P < 0.05, respectively]. EXT reversed the impairments to glucose and lipid metabolism observed in the skeletal muscle of LCR, while increasing the expression of β₂-AR, Nur77, GLUT4, UCP3, and FAT/CD36 (P < 0.05) in this tissue. However, no metabolic improvements were observed following exercise training in HCR. Our results demonstrate that metabolic impairments resulting from genetic factors (low intrinsic aerobic capacity) can be overcome by an environmental intervention (exercise training). Furthermore, we identify Nur77 as a potential mechanism for improved skeletal muscle metabolism in response to EXT.
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Affiliation(s)
- Sarah J Lessard
- Royal Melbourne Institute of Technology, Bundoora, Victoria, Australia
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Filigheddu F, Argiolas G, Degortes S, Zaninello R, Frau F, Pitzoi S, Bulla E, Bulla P, Troffa C, Glorioso N. Haplotypes of the adrenergic system predict the blood pressure response to beta-blockers in women with essential hypertension. Pharmacogenomics 2010; 11:319-25. [PMID: 20235788 DOI: 10.2217/pgs.09.158] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
AIMS To analyze the association of haplotypes of the adrenergic system with essential hypertension and with the blood pressure response to beta-blockers. MATERIALS & METHODS In 1112 never-treated essential hypertension patients and 203 normotensive controls, tightly linked SNPs of beta-adrenergic receptors (ADRB1 - Ser49Gly and Arg389Gly; ADRB2 - Cys19Arg, Gly16Arg and Gln27Glu) and the G-protein beta3-subunit (GNB3 - A3882C, G5249A and C825T) were genotyped. Association of haplotypes with essential hypertension and with the blood pressure response to atenolol 50 mg twice daily in a subgroup of essential hypertension patients (n = 340) was evaluated (Haploview 3.2). RESULTS No SNPs or haplotypes were associated with essential hypertension. In females only, GNB3 SNPs and haplotypes were associated with the blood pressure response (p < 0.05). CONCLUSION Our study confirmed the sex-specific association of GNB3 with the blood pressure response to atenolol with no substantial advantage of the analysis of haplotypes over SNPs.
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Affiliation(s)
- Fabiana Filigheddu
- Chair of Emergency, University of Sassari Medical School and Hypertension & Cardiovascular Prevention Center, Viale S Pietro 8, 07100 Sassari, Italy.
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Kulminski AM, Culminskaya I, Ukraintseva SV, Arbeev KG, Land KC, Yashin AI. Beta2-adrenergic receptor gene polymorphisms as systemic determinants of healthy aging in an evolutionary context. Mech Ageing Dev 2010; 131:338-45. [PMID: 20399803 DOI: 10.1016/j.mad.2010.04.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2009] [Revised: 03/25/2010] [Accepted: 04/09/2010] [Indexed: 10/19/2022]
Abstract
The Gln(27)Glu polymorphism but not the Arg(16)Gly polymorphism of the beta2-adrenergic receptor (ADRB2) gene appears to be associated with a broad range of aging-associated phenotypes, including cancers at different sites, myocardial infarction (MI), intermittent claudication (IC), and overall/healthy longevity in the Framingham Heart Study Offspring cohort. The Gln(27)Gln genotype increases risks of cancer, MI and IC, whereas the Glu(27) allele or, equivalently, the Gly(16)Glu(27) haplotype tends to be protective against these diseases. Genetic associations with longevity are of opposite nature at young-old and oldest-old ages highlighting the phenomenon of antagonistic pleiotropy. The mechanism of antagonistic pleiotropy is associated with an evolutionary-driven advantage of carriers of a derived Gln(27) allele at younger ages and their survival disadvantage at older ages as a result of increased risks of cancer, MI and IC. The ADRB2 gene can play an important systemic role in healthy aging in evolutionary context that warrants exploration in other populations.
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Affiliation(s)
- Alexander M Kulminski
- Center for Population Health and Aging, Duke University Population Research Institute, Durham, NC 27708, USA.
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White matter integrity in the splenium of the corpus callosum is related to successful cognitive aging and partly mediates the protective effect of an ancestral polymorphism in ADRB2. Behav Genet 2010; 40:146-56. [PMID: 20087642 DOI: 10.1007/s10519-009-9318-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2009] [Accepted: 11/21/2009] [Indexed: 10/20/2022]
Abstract
It has recently been reported that the evolutionarily ancestral alleles of two functional polymorphisms in the beta(2)-adrenergic receptor gene (ADRB2) were related to higher cognitive ability in the 70 year old participants of the Lothian Birth Cohort 1936 (LBC1936). One emerging important factor in cognitive aging is the integrity of white matter tracts in the brain. Here, we used diffusion tensor MRI-based tractography to assess the integrity of eight white matter tracts in a subsample of the LBC1936. Higher integrity of the splenium of the corpus callosum predicted better cognitive ability in old age, even after controlling for IQ at age 11. Also, the ancestral allele of one ADRB2 SNP was associated with both splenium integrity and better cognitive aging. While the effects of the SNP and splenium integrity on cognitive aging were largely independent, there was some evidence for a partial mediation effect of ADRB2 status via splenium integrity.
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Witter FR, Zimmerman AW, Reichmann JP, Connors SL. In utero beta 2 adrenergic agonist exposure and adverse neurophysiologic and behavioral outcomes. Am J Obstet Gynecol 2009; 201:553-9. [PMID: 19961985 DOI: 10.1016/j.ajog.2009.07.010] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2009] [Revised: 06/18/2009] [Accepted: 07/06/2009] [Indexed: 11/16/2022]
Abstract
Beta 2 adrenergic receptor overstimulation during critical periods of prenatal development can induce a permanent shift in the balance of sympathetic-to-parasympathetic tone. This is a biologically plausible mechanism whereby beta 2 adrenergic agonists can induce functional and behavioral teratogenesis, which explains their association with increases in autism spectrum disorders, psychiatric disorders, poor cognitive, motor function and school performance, and changes in blood pressure in the offspring. The use of beta 2 adrenergic agonists should be limited to proven indications when alternate drugs are ineffective or unavailable; the risks of untreated disease to the mother and fetus are greater than the risk of the beta 2 adrenergic agonist.
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Affiliation(s)
- Frank R Witter
- Division of Maternal-Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Li X, Zhang Y, Hu Y, Chang M, Liu T, Wang D, Zhang Y, Zhang L, Hu L. Chaperone proteins identified from synthetic proteasome inhibitor-induced inclusions in PC12 cells by proteomic analysis. Acta Biochim Biophys Sin (Shanghai) 2008; 40:406-18. [PMID: 18465026 DOI: 10.1111/j.1745-7270.2008.00416.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Chaperone proteins are significant in Lewy bodies, but the profile of chaperone proteins is incompletely unraveled. Proteomic analysis is used to determine protein candidates for further study. Here, to identify potential chaperone proteins from agent-induced inclusions, we carried out proteomic analysis of artificially synthetic proteasome inhibitor (PSI)-induced inclusions formed in PC12 cells exposed to 10 microM PSI for 48 h. Using biochemical fractionation, 2-D electrophoresis, and identification through peptide mass fingerprints searched against multiple protein databases, we repeatedly identified eight reproducible chaperone proteins from the PSI-induced inclusions. Of these, 58 kDa glucose regulated protein, 75 kDa glucose regulated protein, and calcium-binding protein 1 were newly identified. The other five had been reported to be consistent components of Lewy bodies. These findings suggested that the three potential chaperone proteins might be recruited to PSI-induced inclusions in PC12 cells under proteasome inhibition.
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Affiliation(s)
- Xing'an Li
- Laboratory for Proteomics, Department of Neurology, The First Affiliated Hospital of Jilin University, Changchun 130021, China
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