Amir M, Hassanein SI, Abdel Rahman MF, Gad MZ (2018) AGXT2 and DDAH-1 genetic variants are highly correlated with serum ADMA and SDMA levels and with incidence of coronary artery disease in Egyptians. Mol Biol Rep 45(6):2411–2419. https://doi.org/10.1007/s11033-018-4407-1

Article  CAS  PubMed  Google Scholar 

Baranyi A, Amouzadeh-Ghadikolai O, Rothenhäusler HB, Theokas S, Robier C, Baranyi M, Koppitz M, Reicht G, Hlade P, Meinitzer A (2015) Nitric oxide-related biological pathways in patients with major depression. PLoS One 10(11):e0143397. https://doi.org/10.1371/journal.pone.0143397

Article  CAS  PubMed  PubMed Central  Google Scholar 

Barrett JC, Fry B, Maller J, Daly MJ (2005) Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21(2):263–265. https://doi.org/10.1093/bioinformatics/bth457

Article  CAS  PubMed  Google Scholar 

Blodgett JM, Lachance CC, Stubbs B, Co M, Wu YT, Prina M, Tsang VWL, Cosco TD (2021) A systematic review of the latent structure of the Center for Epidemiologic Studies Depression Scale (CES-D) amongst adolescents. BMC Psychiatry 21(1):197. https://doi.org/10.1186/s12888-021-03206-1

Article  PubMed  PubMed Central  Google Scholar 

Caplin B, Wang Z, Slaviero A, Tomlinson J, Dowsett L, Delahaye M, Salama A, Wheeler DC, Leiper J (2012) Alanine-glyoxylate aminotransferase-2 metabolizes endogenous methylarginines, regulates NO, and controls blood pressure. Arterioscler Thromb Vasc Biol 32(12):2892–2900. https://doi.org/10.1161/atvbaha.112.254078

Article  CAS  PubMed  Google Scholar 

Chrapko W, Jurasz P, Radomski MW, Archer SL, Newman SC, Baker G, Lara N, Le Mellédo JM (2006) Alteration of decreased plasma NO metabolites and platelet NO synthase activity by paroxetine in depressed patients. Neuropsychopharmacology 31(6):1286–1293. https://doi.org/10.1038/sj.npp.1300961

Article  CAS  PubMed  Google Scholar 

Cosco TD, Lachance CC, Blodgett JM, Stubbs B, Co M, Veronese N, Wu YT, Prina AM (2020) Latent structure of the Centre for Epidemiologic Studies Depression Scale (CES-D) in older adult populations: a systematic review. Aging Ment Health 24(5):700–704. https://doi.org/10.1080/13607863.2019.1566434

Article  PubMed  Google Scholar 

Fukui J, Nobutoh C, Okada M, Takagi D, Tanaka K, Senba H, Teraoka M, Yamada H, Matsuura B, Hato N, Miyake Y (2019) Association of household income and education with prevalence of hearing impairment in Japan. Laryngoscope 129(9):2153–2157. https://doi.org/10.1002/lary.27758

Article  PubMed  Google Scholar 

Granot-Hershkovitz E, Spitzer B, Yang Y, Tarraf W, Yu B, Boerwinkle E, Fornage M, Mosley TH, DeCarli C, Kristal BS, González HM, Sofer T (2023) Genetic loci of beta-aminoisobutyric acid are associated with aging-related mild cognitive impairment. Transl Psychiatry 13(1):140. https://doi.org/10.1038/s41398-023-02437-y

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hara K, Okada M, Takagi D, Tanaka K, Senba H, Teraoka M, Yamada H, Matsuura B, Hato N, Miyake Y (2020) Association between hypertension, dyslipidemia, and diabetes and prevalence of hearing impairment in Japan. Hypertens Res 43(9):963–968. https://doi.org/10.1038/s41440-020-0444-y

Article  CAS  PubMed  Google Scholar 

Henry SK, Grant MM, Cropsey KL (2018) Determining the optimal clinical cutoff on the CES-D for depression in a community corrections sample. J Affect Disord 234:270–275. https://doi.org/10.1016/j.jad.2018.02.071

Article  PubMed  Google Scholar 

Howard DM, Adams MJ, Clarke TK, Hafferty JD, Gibson J, Shirali M, Coleman JRI, Hagenaars SP, Ward J, Wigmore EM, Alloza C, Shen X, Barbu MC, Xu EY, Whalley HC, Marioni RE, Porteous DJ, Davies G, Deary IJ, Hemani G, Berger K, Teismann H, Rawal R, Arolt V, Baune BT, Dannlowski U, Domschke K, Tian C, Hinds DA, Trzaskowski M, Byrne EM, Ripke S, Smith DJ, Sullivan PF, Wray NR, Breen G, Lewis CM, McIntosh AM (2019) Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat Neurosci 22(3):343–352. https://doi.org/10.1038/s41593-018-0326-7

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hu XL, Zhou JP, Kuang DB, Qi H, Peng LM, Yang TL, Li X, Zhang W, Zhou HH, Chen XP (2016) Considerable impacts of AGXT2 V140I polymorphism on chronic heart failure in the Chinese population. Atherosclerosis 251:255–262. https://doi.org/10.1016/j.atherosclerosis.2016.07.006

Article  CAS  PubMed  Google Scholar 

Statistics Bureau Ministry of Internal Affairs and Communications. 2010 Population Census of Japan, Vol. 3-2-10, Results of Basic Complete Tabulation on Industries. Prefectures and Municipalities. Shikoku. Statistics Bureau, Ministry of Internal Affairs and Communications; 2012.

Kakimoto Y, Nakajima T, Kumon A, Matsuoka Y, Imaoka N, Sano I (1969a) Putreanine, N-(4-aminobutyl)-3-aminopropionic acid. An amino acid occurring uniquely in the mammalian central nervous system. J Biol Chem 244(21):6003–6007

Article  CAS  PubMed  Google Scholar 

Kakimoto Y, Taniguchi K, Sano I (1969b) D-beta-aminoisobutyrate:pyruvate aminotransferase in mammalian liver and excretion of beta-aminoisobutyrate by man. J Biol Chem 244(2):335–340

Article  CAS  PubMed  Google Scholar 

Kielstein JT, Donnerstag F, Gasper S, Menne J, Kielstein A, Martens-Lobenhoffer J, Scalera F, Cooke JP, Fliser D, Bode-Böger SM (2006) ADMA increases arterial stiffness and decreases cerebral blood flow in humans. Stroke 37(8):2024–2029. https://doi.org/10.1161/01.Str.0000231640.32543.11

Article  PubMed  Google Scholar 

Kielstein A, Tsikas D, Galloway GP, Mendelson JE (2007) Asymmetric dimethylarginine (ADMA)—a modulator of nociception in opiate tolerance and addiction? Nitric Oxide 17(2):55–59. https://doi.org/10.1016/j.niox.2007.05.005

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kumon H, Miyake Y, Yoshino Y, Iga JI, Tanaka K, Senba H, Kimura E, Higaki T, Matsuura B, Kawamoto R, Ueno SI (2022) Functional AGXT2 SNP rs37369 variant is a risk factor for diabetes mellitus: baseline data from the Aidai Cohort Study in Japan. Can J Diabetes 46(8):829–834. https://doi.org/10.1016/j.jcjd.2022.06.004

Article  PubMed  Google Scholar 

Kwong ASF, López-López JA, Hammerton G, Manley D, Timpson NJ, Leckie G, Pearson RM (2019) Genetic and environmental risk factors associated with trajectories of depression symptoms from adolescence to young adulthood. JAMA Netw Open 2(6):e196587. https://doi.org/10.1001/jamanetworkopen.2019.6587

Article  PubMed  PubMed Central  Google Scholar 

Li Z, Hicks MH (2010) The CES-D in Chinese American women: construct validity, diagnostic validity for major depression, and cultural response bias. Psychiatry Res 175(3):227–232. https://doi.org/10.1016/j.psychres.2009.03.007

Article  PubMed  Google Scholar 

Mandelli L, Petrelli C, Serretti A (2015) The role of specific early trauma in adult depression: a meta-analysis of published literature. Childhood trauma and adult depression. Eur Psychiatry 30(6):665–680. https://doi.org/10.1016/j.eurpsy.2015.04.007

Article  CAS  PubMed  Google Scholar 

Ménard C, Hodes GE, Russo SJ (2016) Pathogenesis of depression: Insights from human and rodent studies. Neuroscience 321:138–162. https://doi.org/10.1016/j.neuroscience.2015.05.053

Article  CAS  PubMed  Google Scholar 

Miyake Y, Tanaka K, Senba H, Ogawa S, Suzuki H, Fujiwara Y, Okada M, Takagi D, Teraoka M, Yamada H, Nobuhara T, Matsuura B, Hato N (2020) Hearing impairment and prevalence of mild cognitive impairment in Japan: baseline data from the Aidai Cohort Study in Yawatahama and Uchiko. Ear Hear 41(2):254–258. https://doi.org/10.1097/aud.0000000000000773

Article  PubMed  Google Scholar 

Miyake Y, Tanaka K, Senba H, Hasebe Y, Miyata T, Higaki T, Kimura E, Matsuura B, Kawamoto R (2021) Education and household income and carotid intima-media thickness in Japan: baseline data from the Aidai Cohort Study in Yawatahama, Uchiko, Seiyo, and Ainan. Environ Health Prev Med 26(1):88. https://doi.org/10.1186/s12199-021-01011-6

Article  PubMed  PubMed Central  Google Scholar 

Miyake Y, Tanaka K, Nagata C, Senba H, Hasebe Y, Miyata T, Higaki T, Kimura E, Matsuura B, Kawamoto R (2023) Fish and polyunsaturated fatty acid intake and carotid intima-media thickness in Japan: the Aidai Cohort Study in Yawatahama, Uchiko, Seiyo, and Ainan. J Atheroscler Thromb 30(8):934–942. https://doi.org/10.5551/jat.63781

Article  CAS  PubMed  Google Scholar 

Monkul ES, Silva LA, Narayana S, Peluso MA, Zamarripa F, Nery FG, Najt P, Li J, Lancaster JL, Fox PT, Lafer B, Soares JC (2012) Abnormal resting state corticolimbic blood flow in depressed unmedicated patients with major depression: a (15)O-H(2)O PET study. Hum Brain Mapp 33(2):272–279. https://doi.org/10.1002/hbm.21212

Article  PubMed  Google Scholar 

Nobori J, Miyake Y, Tanaka K, Senba H, Okada M, Takagi D, Teraoka M, Yamada H, Matsuura B, Hato N (2022) Relationship between hearing loss and prevalence of depressive symptoms in Japan: Baseline data from the Aidai Cohort study in Yawatahama and Uchiko. Arch Gerontol Geriatr 102:104735. https://doi.org/10.1016/j.archger.2022.104735

Article  PubMed  Google Scholar 

Ogawa T, Kimoto M, Watanabe H, Sasaoka K (1987) Metabolism of NG, NG-and NG, N’G-dimethylarginine in rats. Arch Biochem Biophys 252(2):526–537. https://doi.org/10.1016/0003-9861(87)90060-9

Article  CAS  PubMed  Google Scholar 

Penner-Goeke S, Binder EB (2019) Epigenetics and depression. Dialogues Clin Neurosci 21(4):397–405. https://doi.org/10.31887/DCNS.2019.21.4/ebinder

Article  PubMed  PubMed Central  Google Scholar 

Prast H, Philippu A (2001) Nitric oxide as modulator of neuronal function. Prog Neurobiol 64(1):51–68. https://doi.org/10.1016/s0301-0082(00)00044-7

Article  CAS  PubMed  Google Scholar 

Radloff LS (1977) The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1(3):385–401

Article