NMU DNA methylation in blood is associated with metabolic and inflammatory indices: results from the Moli-sani study

被引:3
作者
Marotta, Annalisa [1 ]
Noro, Fabrizia [1 ]
Parisi, Roberta [1 ]
Gialluisi, Alessandro [1 ]
Tirozzi, Alfonsina [1 ]
De Curtis, Amalia [1 ]
Costanzo, Simona [1 ]
Di Castelnuovo, Augusto [2 ]
Cerletti, Chiara [1 ]
Donati, Maria Benedetta [1 ]
de Gaetano, Giovanni [1 ]
Iacoviello, Licia [1 ,3 ]
Izzi, Benedetta [1 ]
Gianfagna, Francesco [2 ,3 ]
机构
[1] IRCCS NEUROMED, Dept Epidemiol & Prevent, Pozzilli, Italy
[2] Mediterranea Cardioctr, Naples, Italy
[3] Univ Insubria, EPIMED Res Ctr, Dept Med & Surg, Varese, Italy
关键词
DNA methylation; low-grade inflammation; metabolic indices; neuromedin U; cardiovascular risk; white blood cell count; apolipoprotein B; granulocyte-to-lymphocyte ratio; NEUROMEDIN-U; TRANSCRIPTIONAL REGULATION; NEUROPEPTIDE; IDENTIFICATION; EDUCATION; OBESITY; ADULTS;
D O I
10.1080/15592294.2020.1864167
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Neuromedin U (NMU) is a neuropeptide involved in gut-brain axis, energy balance and immune response. We aimed at analysing the association between NMU epigenetic variability and metabolic indices and the potential mediating role of low-grade inflammation in a general population of Italian adults. NMU Blood DNA methylation levels at two CpG islands (NMU76 and NMU32) were analysed using pyrosequencing in a randomly selected sub-cohort of 1,160 subjects from the Moli-sani study (>= 35years; 49.20% men). Multivariable regressions adjusted for age, sex, smoking, alcohol and vegetable consumption were performed to estimate the associations between methylation and metabolic phenotypes (BMI, waist-to-hip ratio, blood pressure, glucose, HOMA-IR, lipids, lipoprotein(a) and apolipoproteins). Mediation analysis was performed to identify the influence of low-grade inflammation in the association using a composite index based on C reactive protein, granulocyte-to-lymphocyte ratio (GLR), platelet and white blood cell counts (INFLA-score). Using principal component analysis four methylation factors were identified: NMU76-F1, NMU76-F2, NMU32-F1 and NMU32-F2. NMU76-F1 was FDR significantly associated with total cholesterol (for 1 SD increase: beta = 4.5 +/- 1.4 mg/dL of, R-2 = 10.8%, p = 0.001), ApoB (0.03 +/- 0.01 g/L, 12.2%, p = 0.0004), with INFLA-score (1.05 +/- 0.22, p = 2.7E-6) and GLR (-0.27 +/- 0.03, 30.4%, p = 1.3E-20). GLR and lymphocyte number mediate the association of NMU76-F1 with cholesterol (24.0% of total effect, Sobel p = 0.013) and ApoB (42.6%, p = 9E-7), respectively. These findings suggest that NMU promoter methylation patterns could mark a pathway linking lipids with haematopoiesis and systemic inflammation.
引用
收藏
页码:1347 / 1360
页数:14
相关论文
共 61 条
  • [51] SPSS and SAS procedures for estimating indirect effects in simple mediation models
    Preacher, KJ
    Hayes, AF
    [J]. BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS, 2004, 36 (04): : 717 - 731
  • [52] Epigenetic clock analysis of diet, exercise, education, and lifestyle factors
    Quach, Austin
    Levine, Morgan E.
    Tanaka, Toshiko
    Lu, Ake T.
    Chen, Brian H.
    Ferrucci, Luigi
    Ritz, Beate
    Bandinelli, Stefania
    Neuhouser, Marian L.
    Beasley, Jeannette M.
    Snetselaar, Linda
    Wallace, Robert B.
    Tsao, Philip S.
    Absher, Devin
    Assimes, Themistocles L.
    Stewart, James D.
    Li, Yun
    Hou, Lifang
    Baccarelli, Andrea A.
    Whitsel, Eric A.
    Horvath, Steve
    [J]. AGING-US, 2017, 9 (02): : 419 - 446
  • [53] Neuromedin U: a Myb-regulated autocrine growth factor for human myeloid leukemias
    Shetzline, SE
    Rallapalli, R
    Dowd, KJ
    Zou, SM
    Nakata, Y
    Swider, CR
    Kalota, A
    Choi, JK
    Gewirtz, AM
    [J]. BLOOD, 2004, 104 (06) : 1833 - 1840
  • [54] Colony stimulating factors (CSFs): Complex roles in atherosclerosis
    Singhal, Aarushi
    Subramanian, Manikandan
    [J]. CYTOKINE, 2019, 122
  • [55] Apolipoprotein B Particles and Cardiovascular Disease A Narrative Review
    Sniderman, Allan D.
    Thanassoulis, George
    Glavinovic, Tamara
    Navar, Ann Marie
    Pencina, Michael
    Catapano, Alberico
    Ference, Brian A.
    [J]. JAMA CARDIOLOGY, 2019, 4 (12) : 1287 - 1295
  • [56] Epigenetic Markers and Microbiota/Metabolite-Induced Epigenetic Modifications in the Pathogenesis of Obesity, Metabolic Syndrome, Type 2 Diabetes, and Non-alcoholic Fatty Liver Disease
    Stols-Goncalves, Daniela
    Tristao, Luca Schiliro
    Henneman, Peter
    Nieuwdorp, Max
    [J]. CURRENT DIABETES REPORTS, 2019, 19 (06)
  • [57] DNA methylation differences after exposure to prenatal famine are common and timing- and sex-specific
    Tobi, Elmar W.
    Lumey, L. H.
    Talens, Rudolf P.
    Kremer, Dennis
    Putter, Hein
    Stein, Aryeh D.
    Slagboom, P. Eline
    Heijmans, Bastiaan T.
    [J]. HUMAN MOLECULAR GENETICS, 2009, 18 (21) : 4046 - 4053
  • [58] Adherence to a Mediterranean diet and survival in a Greek population
    Trichopoulou, A
    Costacou, T
    Bamia, C
    Trichopoulos, D
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2003, 348 (26) : 2599 - 2608
  • [59] Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity
    Wahl, Simone
    Drong, Alexander
    Lehne, Benjamin
    Loh, Marie
    Scott, William R.
    Kunze, Sonja
    Tsai, Pei-Chien
    Ried, Janina S.
    Zhang, Weihua
    Yang, Youwen
    Tan, Sili
    Fiorito, Giovanni
    Franke, Lude
    Guarrera, Simonetta
    Kasela, Silva
    Kriebel, Jennifer
    Richmond, Rebecca C.
    Adamo, Marco
    Afzal, Uzma
    Ala-Korpela, Mika
    Albetti, Benedetta
    Ammerpohl, Ole
    Apperley, Jane F.
    Beekman, Marian
    Bertazzi, Pier Alberto
    Black, S. Lucas
    Blancher, Christine
    Bonder, Marc-Jan
    Brosch, Mario
    Carstensen-Kirberg, Maren
    de Craen, Anton J. M.
    de Lusignan, Simon
    Dehghan, Abbas
    Elkalaawy, Mohamed
    Fischer, Krista
    Franco, Oscar H.
    Gaunt, Tom R.
    Hampe, Jochen
    Hashemi, Majid
    Isaacs, Aaron
    Jenkinson, Andrew
    Jha, Sujeet
    Kato, Norihiro
    Krogh, Vittorio
    Laffan, Michael
    Meisinger, Christa
    Meitinger, Thomas
    Mok, Zuan Yu
    Motta, Valeria
    Ng, Hong Kiat
    [J]. NATURE, 2017, 541 (7635) : 81 - +
  • [60] A genome-wide methylation study on obesity Differential variability and differential methylation
    Xu, Xiaojing
    Su, Shaoyong
    Barnes, Vernon A.
    De Miguel, Carmen
    Pollock, Jennifer
    Ownby, Dennis
    Shi, Huidong
    Zhu, Haidong
    Snieder, Harold
    Wang, Xiaoling
    [J]. EPIGENETICS, 2013, 8 (05) : 522 - 533