https://m2.mtmt.hu/ hun 2026-09-21 20:51 JournalArticle 34779723 VALIDATED true 0 false 2026-06-22T09:01:05.659+0000 2026-02-03T13:22:42.610+0000 2024-04-09T13:24:01.140+0000 true 10030040 Ruzsits Ágnes /api/admin/10030040 Admin Ruzsits Ágnes (SE_GYTK_Gyhatástan_Admin5_RÁ, admin) true 10030040 2026-02-03T13:22:44.983+0000 2026-02-03T13:22:44.983+0000 2025-09-02T08:06:53.201+0000 true 10062062 Gere Tamásné /api/admin/10062062 Admin Gere Tamásné (SE_KK_Admin5_GT, admin) true 10062062 true false true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Szakcikk (Folyóiratcikk) 101 true 10000059 true 1 /api/category/1 Category Tudományos true 1 Eszlári, Nóra true true /api/journal/10033111 REVIEWED TRANSLATIONAL PSYCHIATRY 2158-3188 2158-3188 true false 10033111 false 10033111 true 2158-3188 2158-3188 Journal FOREIGN 14 1 182 182 10 2024 Most current approaches to establish subgroups of depressed patients for precision medicine aim to rely on biomarkers that require highly specialized assessment. Our present aim was to stratify participants of the UK Biobank cohort based on three readily measurable common independent risk factors, and to investigate depression genomics in each group to discover common and separate biological etiology. Two-step cluster analysis was run separately in males ( n = 149,879) and females ( n = 174,572), with neuroticism (a tendency to experience negative emotions), body fat percentage, and years spent in education as input variables. Genome-wide association analyses were implemented within each of the resulting clusters, for the lifetime occurrence of either a depressive episode or recurrent depressive disorder as the outcome. Variant-based, gene-based, gene set-based, and tissue-specific gene expression test were applied. Phenotypically distinct clusters with high genetic intercorrelations in depression genomics were found. A two-cluster solution was the best model in each sex with some differences including the less important role of neuroticism in males. In females, in case of a protective pattern of low neuroticism, low body fat percentage, and high level of education, depression was associated with pathways related to olfactory function. While also in females but in a risk pattern of high neuroticism, high body fat percentage, and less years spent in education, depression showed association with complement system genes. Our results, on one hand, indicate that alteration of olfactory pathways, that can be paralleled to the well-known rodent depression models of olfactory bulbectomy, might be a novel target towards precision psychiatry in females with less other risk factors for depression. On the other hand, our results in multi-risk females may provide a special case of immunometabolic depression. Funding 2039386 /api/funding/2039386 (139330) false true Funding 2039387 /api/funding/2039387 (K 143391) false true Funding 2039388 /api/funding/2039388 (PD 146014) false true Funding 2039389 /api/funding/2039389 (2019-2.1.7-ERA-NET-2020-00005) Támogató: Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal false true Funding 2039390 /api/funding/2039390 ERA PerMed(ERAPERMED2019-108) false true Funding 2039391 /api/funding/2039391 (2017-1.2.1-NKP-2017-00002.) false true Funding 2039392 /api/funding/2039392 (National Brain Programme 3.0(NAP2022-I-4/2022)) false true Funding 2039393 /api/funding/2039393 MILAB(RRF-2.3.1-21-2022-00004) Támogató: NKFIH false true Funding 2039394 /api/funding/2039394 (ÚNKP-22-4-II-SE-1) false true Funding 2039395 /api/funding/2039395 (ÚNKP-23-4-II-SE-2) false true true 2024 true true true false true false GOLD 2026-06-22 true https://doi.org/10.1038/s41398-024-02867-2 5 0 4 2 3 4 5 4 2 4 4 2 2 2 3 0 5 2 4 2 0 5 5 Folyóiratcikk Journal Article 24 4 Könyvrészlet Chapter in Book 25 0 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 1 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2024 0 1 1 1 1 2025 0 3 0 3 0 2026 0 1 1 1 1 D1 false 10017483,10041077,10045710 false false false 2024-04-18T09:13:37.379+0000 Gyógyszerhatástani Intézet (SE / GYTK); Méréstechnika és Információs Rendszerek Tanszék (BME / VIK); NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport (SE / GYTK / GYHATAS); Pszichiátriai és Pszichoterápiás Klinika (SE / AOK / K); Személyiség- és Klinikai Pszichológia Tanszék (... (PPKE / BTK / PszichI) 11 46 5 11 0 true Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 116109613 /api/authorship/116109613 Eszlári, Nóra ✉ [Eszlári, Nóra (Pszichiátriai gen...), szerző] Gyógyszerhatástani Intézet (SE / GYTK); NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport (SE / GYTK / GYHATAS) 1 0.091 true false true Author 10045710 /api/author/10045710 Eszlári Nóra (Pszichiátriai genetika) Eszlári Nóra true 10045710 true Eszlári Nóra true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116109614 /api/authorship/116109614 Hullám, Gábor [Hullám, Gábor István (informatika), szerző] Méréstechnika és Információs Rendszerek Tanszék (BME / VIK); Gyógyszerhatástani Intézet (SE / GYTK) 2 0.091 false false false Author 10041077 /api/author/10041077 Hullám Gábor István (informatika) Hullám Gábor István true 10041077 true Hullám Gábor true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116109615 /api/authorship/116109615 Gál, Zsófia [Gál, Zsófia (neurobiológia, ps...), szerző] Gyógyszerhatástani Intézet (SE / GYTK); NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport (SE / GYTK / GYHATAS) 3 0.091 false false false Author 10067900 /api/author/10067900 Gál Zsófia (neurobiológia, pszichiátriai genetika) Gál Zsófia true true Gál Zsófia true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116109616 /api/authorship/116109616 Török, Dóra [Török, Dóra (pszichiátriai gen...), szerző] Gyógyszerhatástani Intézet (SE / GYTK); NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport (SE / GYTK / GYHATAS) 4 0.091 false false false Author 10075294 /api/author/10075294 Török Dóra (pszichiátriai genetika) Török Dóra true true Török Dóra true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116109617 /api/authorship/116109617 Nagy, Tamás [Nagy, Tamás (bioinformatika), szerző] Méréstechnika és Információs Rendszerek Tanszék (BME / VIK); NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport (SE / GYTK / GYHATAS); Gyógyszerhatástani Intézet (SE / GYTK) 5 0.091 false false false Author 10078334 /api/author/10078334 Nagy Tamás (bioinformatika) Nagy Tamás true true Nagy Tamás true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116109618 /api/authorship/116109618 Millinghoffer, András [Millinghoffer, András Dániel (információs rends...), szerző] Méréstechnika és Információs Rendszerek Tanszék (BME / VIK); NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport (SE / GYTK / GYHATAS) 6 0.091 false false false Author 10041129 /api/author/10041129 Millinghoffer András Dániel (információs rendszerek) Millinghoffer András Dániel true 10041129 true Millinghoffer András true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116109619 /api/authorship/116109619 Baksa, Dániel [Baksa, Dániel (pszichológia, gen...), szerző] Gyógyszerhatástani Intézet (SE / GYTK); Személyiség- és Klinikai Pszichológia Tanszék (... (PPKE / BTK / PszichI); NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport (SE / GYTK / GYHATAS) 7 0.091 false false false Author 10060155 /api/author/10060155 Baksa Dániel (pszichológia, genetika, fMRI) Baksa Dániel true 10060155 true Baksa Dániel true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116109620 /api/authorship/116109620 Gonda, Xénia [Gonda, Xénia (Pszichiátria, psz...), szerző] Pszichiátriai és Pszichoterápiás Klinika (SE / AOK / K); NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport (SE / GYTK / GYHATAS) 8 0.091 false false false Author 10003491 /api/author/10003491 Gonda Xénia (Pszichiátria, pszichiátriai genetika, farmakológia, pszichofarmakológia, pszichoterápia, klinikai pszichológia, pszichológia) Gonda Xénia true 10003491 true Gonda Xénia true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116109621 /api/authorship/116109621 Antal, Péter [Antal, Péter (bioinformatika), szerző] Méréstechnika és Információs Rendszerek Tanszék (BME / VIK) 9 0.091 false false false Author 10041166 /api/author/10041166 Antal Péter (bioinformatika) Antal Péter true 10041166 true Antal Péter true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116109622 /api/authorship/116109622 Bagdy, György [Bagdy, György (Neuropszichofarma...), szerző] Gyógyszerhatástani Intézet (SE / GYTK); NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport (SE / GYTK / GYHATAS) 10 0.091 false false false Author 10001318 /api/author/10001318 Bagdy György (Neuropszichofarmakológia, gyógyszertan) Bagdy György true 10001318 true Bagdy György true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116109623 /api/authorship/116109623 Juhász, Gabriella [Juhász, Gabriella (Neurológia), szerző] Gyógyszerhatástani Intézet (SE / GYTK); NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport (SE / GYTK / GYHATAS) 11 0.091 false true false Author 10017483 /api/author/10017483 Juhász Gabriella (Neurológia) Juhász Gabriella true 10017483 true Juhász Gabriella true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 25978995 /api/publicationidentifier/25978995 DOI: 10.1038/s41398-024-02867-2 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true IDENTICAL 10.1038/s41398-024-02867-2 https://doi.org/10.1038/s41398-024-02867-2 false true PublicationIdentifier 26031996 /api/publicationidentifier/26031996 WoS: 001198622600001 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001198622600001 https://www.webofscience.com/wos/woscc/full-record/001198622600001 true true PublicationIdentifier 27167680 /api/publicationidentifier/27167680 REAL: 204777 SwordSource 36 /api/publicationsource/36 REAL PublicationSourceType 10007 /api/publicationsourcetype/10007 Repozitórium true true true REAL REAL https://real.mtak.hu/@@@ true true 36 true GOLD true 204777 https://real.mtak.hu/204777 false true PublicationIdentifier 26078353 /api/publicationidentifier/26078353 Scopus: 85190356113 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85190356113 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85190356113 true true PublicationIdentifier 25978997 /api/publicationidentifier/25978997 PubMed: 38589364 PlainSource 17 /api/publicationsource/17 PubMed PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true PubMed PubMed http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=@@@&dopt=Abstract true true 17 true IDENTICAL 38589364 http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=38589364&dopt=Abstract false true PublicationIdentifier 31342546 /api/publicationidentifier/31342546 Egyéb URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190356113&doi=10.1038%2Fs41398-024-02867-2&partnerID=40&md5=75deeb78295c210ccdb5c43bd9a16298 PlainSource 40 /api/publicationsource/40 Egyéb URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true NONE https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190356113&doi=10.1038%2Fs41398-024-02867-2&partnerID=40&md5=75deeb78295c210ccdb5c43bd9a16298 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190356113&doi=10.1038%2Fs41398-024-02867-2&partnerID=40&md5=75deeb78295c210ccdb5c43bd9a16298 false true SjrRating 11444183 /api/sjrrating/11444183 sjr:D1 (2024) Scopus - Biological Psychiatry TRANSLATIONAL PSYCHIATRY 2158-3188 2158-3188 4 0.1 journal RatingType 10002 /api/ratingtype/10002 sjr sjr true true ClassificationExternal 2803 /api/classificationexternal/2803 Scopus - Biological Psychiatry true 2803 true D1 DIRECT true true Reference 51763076 /api/reference/51763076 1. Malhi GS, Mann JJ. Depression. Lancet. 2018;392:2299–312., DOI: 10.1016/S0140-6736(18)31948-2 1 10.1016/S0140-6736(18)31948-2 false true Reference 51763077 /api/reference/51763077 2. Jambor T, Juhasz G, Eszlari N. Towards personalised antidepressive medicine based on “big data”: an up-to-date review on robust factors affecting treatment response. Neuropsychopharmacol Hung. 2022;24:17–28. 2 false true Reference 51763078 /api/reference/51763078 3. Perlman K, Benrimoh D, Israel S, Rollins C, Brown E, Tunteng JF, et al. A systematic meta-review of predictors of antidepressant treatment outcome in major depressive disorder. J Affect Disord. 2019;243:503–15., DOI: 10.1016/j.jad.2018.09.067 3 10.1016/j.jad.2018.09.067 false true Reference 51763079 /api/reference/51763079 4. Beijers L, Wardenaar KJ, van Loo HM, Schoevers RA. Data-driven biological subtypes of depression: systematic review of biological approaches to depression subtyping. Mol Psychiatry. 2019;24:888–900., DOI: 10.1038/s41380-019-0385-5 4 10.1038/s41380-019-0385-5 false true Reference 51763080 /api/reference/51763080 5. Fabbri C, Montgomery S, Lewis CM, Serretti A. Genetics and major depressive disorder: clinical implications for disease risk, prognosis and treatment. Int Clin Psychopharmacol. 2020;35:233–42., DOI: 10.1097/YIC.0000000000000305 5 10.1097/YIC.0000000000000305 false true Reference 51763081 /api/reference/51763081 6. Nemeroff CB. The state of our understanding of the pathophysiology and optimal treatment of depression: glass half full or half empty? Am J Psychiatry. 2020;177:671–85., DOI: 10.1176/appi.ajp.2020.20060845 6 10.1176/appi.ajp.2020.20060845 false true Reference 51763082 /api/reference/51763082 7. Goldstein BL, Klein DN. A review of selected candidate endophenotypes for depression. Clin Psychol Rev. 2014;34:417–27., DOI: 10.1016/j.cpr.2014.06.003 7 10.1016/j.cpr.2014.06.003 false true Reference 51763083 /api/reference/51763083 8. Zheng X, Tong L, Zhang C, Zhang C, Zhang C, Wan B. Modifiable risk factors of major depressive disorder: a Mendelian randomization study. PLoS One. 2023;18:e0289419., DOI: 10.1371/journal.pone.0289419 8 10.1371/journal.pone.0289419 false true Reference 51763084 /api/reference/51763084 9. Lasserre AM, Glaus J, Vandeleur CL, Marques-Vidal P, Vaucher J, Bastardot F, et al. Depression with atypical features and increase in obesity, body mass index, waist circumference, and fat mass: a prospective, population-based study. JAMA Psychiatry. 2014;71:880–8., DOI: 10.1001/jamapsychiatry.2014.411 9 10.1001/jamapsychiatry.2014.411 false true Reference 51763085 /api/reference/51763085 10. Milaneschi Y, Lamers F, Berk M, Penninx BWJH. Depression heterogeneity and its biological underpinnings: toward immunometabolic depression. Biol Psychiatry. 2020;88:369–80., DOI: 10.1016/j.biopsych.2020.01.014 10 10.1016/j.biopsych.2020.01.014 false true Reference 51763086 /api/reference/51763086 11. Ul-Haq Z, Smith DJ, Nicholl BI, Cullen B, Martin D, Gill JM, et al. Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants. BMC Psychiatry. 2014;14:153., DOI: 10.1186/1471-244X-14-153 11 10.1186/1471-244X-14-153 false true Reference 51763087 /api/reference/51763087 12. Meng X, Brunet A, Turecki G, Liu A, D’Arcy C, Caron J. Risk factor modifications and depression incidence: a 4-year longitudinal Canadian cohort of the Montreal Catchment Area Study. BMJ Open. 2017;7:e015156., DOI: 10.1136/bmjopen-2016-015156 12 10.1136/bmjopen-2016-015156 false true Reference 51763088 /api/reference/51763088 13. Peyrot WJ, Lee SH, Milaneschi Y, Abdellaoui A, Byrne EM, Esko T, et al. The association between lower educational attainment and depression owing to shared genetic effects? Results in ~25,000 subjects. Mol Psychiatry. 2015;20:735–43., DOI: 10.1038/mp.2015.50 13 10.1038/mp.2015.50 false true Reference 51763089 /api/reference/51763089 14. Rancans E, Vrublevska J, Kivite-Urtane A, Ivanovs R, Ziedonis D. Prevalence of major depression and associated correlates in Latvian primary care population: results from the National Research Program BIOMEDICINE 2014-7. Nord J Psychiatry. 2020;74:60–68., DOI: 10.1080/08039488.2019.1668961 14 10.1080/08039488.2019.1668961 false true Reference 51763090 /api/reference/51763090 15. Hullam G, Antal P, Petschner P, Gonda X, Bagdy G, Deakin B, et al. The UKB envirome of depression: from interactions to synergistic effects. Sci Rep. 2019;9:9723., DOI: 10.1038/s41598-019-46001-5 15 10.1038/s41598-019-46001-5 false true Reference 51763091 /api/reference/51763091 16. Jokela M, Keltikangas-Järvinen L. The association between low socioeconomic status and depressive symptoms depends on temperament and personality traits. Personal Individ Differ. 2011;51:302–8., DOI: 10.1016/j.paid.2010.05.004 16 10.1016/j.paid.2010.05.004 false true Reference 51763092 /api/reference/51763092 17. Arias-de la Torre J, Vilagut G, Martín V, Molina AJ, Alonso J. Prevalence of major depressive disorder and association with personal and socio-economic factors. Results for Spain of the European Health Interview Survey 2014-2015. J Affect Disord. 2018;239:203–7., DOI: 10.1016/j.jad.2018.06.051 17 10.1016/j.jad.2018.06.051 false true Reference 51763093 /api/reference/51763093 18. Chang CC, Chang HA, Fang WH, Chang TC, Huang SY. Gender-specific association between serotonin transporter polymorphisms (5-HTTLPR and rs25531) and neuroticism, anxiety and depression in well-defined healthy Han Chinese. J Affect Disord. 2017;207:422–8., DOI: 10.1016/j.jad.2016.08.055 18 10.1016/j.jad.2016.08.055 false true Reference 51763094 /api/reference/51763094 19. Smith DJ, Nicholl BI, Cullen B, Martin D, Ul-Haq Z, Evans J, et al. Prevalence and characteristics of probable major depression and bipolar disorder within UK biobank: cross-sectional study of 172,751 participants. PLoS ONE. 2013;8:e75362., DOI: 10.1371/journal.pone.0075362 19 10.1371/journal.pone.0075362 false true Reference 51763095 /api/reference/51763095 20. Nagel M, Watanabe K, Stringer S, Posthuma D, van der Sluis S. Item-level analyses reveal genetic heterogeneity in neuroticism. Nat Commun. 2018;9:905., DOI: 10.1038/s41467-018-03242-8 20 10.1038/s41467-018-03242-8 false true Reference 51763096 /api/reference/51763096 21. Carter AR, Gill D, Davey Smith G, Taylor AE, Davies NM, Howe LD. Cross-sectional analysis of educational inequalities in primary prevention statin use in UK Biobank. Heart. 2022;108:536–42., DOI: 10.1136/heartjnl-2021-319238 21 10.1136/heartjnl-2021-319238 false true Reference 51763097 /api/reference/51763097 22. Jones DP, Wootton RE, Gill D, Carter AR, Gunnell D, Munafò MR, et al. Mental health as a mediator of the association between educational inequality and cardiovascular disease: a Mendelian Randomization Study. J Am Heart Assoc. 2021;10:e019340., DOI: 10.1161/JAHA.120.019340 22 10.1161/JAHA.120.019340 false true Reference 51763098 /api/reference/51763098 23. Eszlari N, Bruncsics B, Millinghoffer A, Hullam G, Petschner P, Gonda X. et al. Biology of perseverative negative thinking: the role of timing and folate intake. Nutrients. 2021;13:4396., DOI: 10.3390/nu13124396 23 10.3390/nu13124396 false true Reference 51763099 /api/reference/51763099 24. Chang CC, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ, Second-generation PLINK: rising to the challenge of larger and richer datasets. GigaScience. 2015;4. https://doi.org/10.1186/s13742-015-0047-8., DOI: 10.1186/s13742-015-0047-8 24 10.1186/s13742-015-0047-8 false true Reference 51763100 /api/reference/51763100 25. Galinsky KJ, Bhatia G, Loh PR, Georgiev S, Mukherjee S, Patterson NJ, et al. Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia. Am J Hum Genet. 2016;98:456–72., DOI: 10.1016/j.ajhg.2015.12.022 25 10.1016/j.ajhg.2015.12.022 false true Reference 51763101 /api/reference/51763101 26. Cuéllar-Partida G, Lundberg M, Kho PF, D’Urso S, Gutiérrez-Mondragón LF, Ngo TT, et al. Complex-traits genetics virtual lab: a community-driven web platform for post-GWAS analyses. bioRxiv. 2019. https://doi.org/10.1101/518027., DOI: 10.1101/518027 26 10.1101/518027 false true Reference 51763102 /api/reference/51763102 27. Bulik-Sullivan BK, Loh PR, Finucane HK, Ripke S, Yang J, Patterson N, et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat Genet. 2015;47:291–5., DOI: 10.1038/ng.3211 27 10.1038/ng.3211 false true Reference 51763103 /api/reference/51763103 28. O’Connor LJ, Price AL. Distinguishing genetic correlation from causation across 52 diseases and complex traits. Nat Genet. 2018;50:1728–34., DOI: 10.1038/s41588-018-0255-0 28 10.1038/s41588-018-0255-0 false true Reference 51763104 /api/reference/51763104 29. de Leeuw CA, Mooij JM, Heskes T, Posthuma D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput Biol. 2015;11:e1004219., DOI: 10.1371/journal.pcbi.1004219 29 10.1371/journal.pcbi.1004219 false true Reference 51763105 /api/reference/51763105 30. Watanabe K, Taskesen E, van Bochoven A, Posthuma D. Functional mapping and annotation of genetic associations with FUMA. Nat Commun. 2017;8:017–01261., DOI: 10.1038/s41467-017-01261-5 30 10.1038/s41467-017-01261-5 false true Reference 51763106 /api/reference/51763106 31. Schork AJ, Thompson WK, Pham P, Torkamani A, Roddey JC, Sullivan PF, et al. All SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs. PLoS Genet. 2013;9:25., DOI: 10.1371/journal.pgen.1003449 31 10.1371/journal.pgen.1003449 false true Reference 51763107 /api/reference/51763107 32. Kang HJ, Kawasawa YI, Cheng F, Zhu Y, Xu X, Li M, et al. Spatio-temporal transcriptome of the human brain. Nature. 2011;478:483–9., DOI: 10.1038/nature10523 32 10.1038/nature10523 false true Reference 51763108 /api/reference/51763108 33. Nagel M, Jansen PR, Stringer S, Watanabe K, de Leeuw CA, Bryois J, et al. Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways. Nat Genet. 2018;50:920–7., DOI: 10.1038/s41588-018-0151-7 33 10.1038/s41588-018-0151-7 false true Reference 51763109 /api/reference/51763109 34. Seney ML, Huo Z, Cahill K, French L, Puralewski R, Zhang J, et al. Opposite molecular signatures of depression in men and women. Biol Psychiatry. 2018;84:18–27., DOI: 10.1016/j.biopsych.2018.01.017 34 10.1016/j.biopsych.2018.01.017 false true Reference 51763110 /api/reference/51763110 35. Labonté B, Engmann O, Purushothaman I, Menard C, Wang J, Tan C, et al. Sex-specific transcriptional signatures in human depression. Nat Med. 2017;23:1102–11., DOI: 10.1038/nm.4386 35 10.1038/nm.4386 false true Reference 51763111 /api/reference/51763111 36. Nguyen TD, Harder A, Xiong Y, Kowalec K, Hägg S, Cai N, et al. Genetic heterogeneity and subtypes of major depression. Mol Psychiatry. 2022;27:1667–75., DOI: 10.1038/s41380-021-01413-6 36 10.1038/s41380-021-01413-6 false true Reference 51763112 /api/reference/51763112 37. Hyde CL, Nagle MW, Tian C, Chen X, Paciga SA, Wendland JR, et al. Identification of 15 genetic loci associated with risk of major depression in individuals of European descent. Nat Genet. 2016;48:1031–6., DOI: 10.1038/ng.3623 37 10.1038/ng.3623 false true Reference 51763113 /api/reference/51763113 38. Dalby M, Vitezic M, Plath N, Hammer-Helmich L, Jiang Y, Tian C, et al. Characterizing mood disorders in the AFFECT study: a large, longitudinal, and phenotypically rich genetic cohort in the US. Transl Psychiatry. 2022;12:121., DOI: 10.1038/s41398-022-01877-2 38 10.1038/s41398-022-01877-2 false true Reference 51763114 /api/reference/51763114 39. Berk M, Williams LJ, Jacka FN, O’Neil A, Pasco JA, Moylan S, et al. So depression is an inflammatory disease, but where does the inflammation come from? BMC Med. 2013;11:200., DOI: 10.1186/1741-7015-11-200 39 10.1186/1741-7015-11-200 false true Reference 51763115 /api/reference/51763115 40. Crider A, Feng T, Pandya CD, Davis T, Nair A, Ahmed AO, et al. Complement component 3a receptor deficiency attenuates chronic stress-induced monocyte infiltration and depressive-like behavior. Brain Behav Immun. 2018;70:246–56., DOI: 10.1016/j.bbi.2018.03.004 40 10.1016/j.bbi.2018.03.004 false true Reference 51763116 /api/reference/51763116 41. Reddy PV, Talukdar PM, Subbanna M, Bhargav PH, Arasappa R, Venkatasubramanian G, et al. Multiple complement pathway-related proteins might regulate immunopathogenesis of major depressive disorder. Clin Psychopharmacol Neurosci. 2023;21:313–9., DOI: 10.9758/cpn.2023.21.2.313 41 10.9758/cpn.2023.21.2.313 false true Reference 51763117 /api/reference/51763117 42. Zhang C, Zhang DF, Wu ZG, Peng DH, Chen J, Ni J, et al. Complement factor H and susceptibility to major depressive disorder in Han Chinese. Br J Psychiatry. 2016;208:446–52., DOI: 10.1192/bjp.bp.115.163790 42 10.1192/bjp.bp.115.163790 false true Reference 51763118 /api/reference/51763118 43. Shin C, Ham BJ, Ko YH, Pae CU, Park MH, Steffens DC, et al. Increased plasma complement factor H is associated with geriatric depression. Int Psychogeriatr. 2019;31:101–8., DOI: 10.1017/S1041610218000558 43 10.1017/S1041610218000558 false true Reference 51763119 /api/reference/51763119 44. Tang W, Liu H, Chen L, Zhao K, Zhang Y, Zheng K, et al. Inflammatory cytokines, complement factor H and anhedonia in drug-naïve major depressive disorder. Brain Behav Immun. 2021;95:238–44., DOI: 10.1016/j.bbi.2021.03.022 44 10.1016/j.bbi.2021.03.022 false true Reference 51763120 /api/reference/51763120 45. Lee H, Rhee SJ, Kim J, Lee Y, Kim H, Lee J, et al. Predictive protein markers for depression severity in mood disorders: A preliminary trans-diagnostic approach study. J Psychiatr Res. 2021;142:63–72., DOI: 10.1016/j.jpsychires.2021.07.041 45 10.1016/j.jpsychires.2021.07.041 false true Reference 51763121 /api/reference/51763121 46. Kim IB, Park SC. The entorhinal cortex and adult neurogenesis in major depression. Int J Mol Sci. 2021;22:11725., DOI: 10.3390/ijms222111725 46 10.3390/ijms222111725 false true Reference 51763122 /api/reference/51763122 47. Lu J, Zhang Z, Yin X, Tang Y, Ji R, Chen H, et al. An entorhinal-visual cortical circuit regulates depression-like behaviors. Mol Psychiatry. 2022;27:3807–20., DOI: 10.1038/s41380-022-01540-8 47 10.1038/s41380-022-01540-8 false true Reference 51763123 /api/reference/51763123 48. Han P, Hummel T, Raue C, Croy I. Olfactory loss is associated with reduced hippocampal activation in response to emotional pictures. Neuroimage. 2019;188:84–91., DOI: 10.1016/j.neuroimage.2018.12.004 48 10.1016/j.neuroimage.2018.12.004 false true Reference 51763124 /api/reference/51763124 49. Rajkumar R, Dawe GS. OBscure but not OBsolete: Perturbations of the frontal cortex in common between rodent olfactory bulbectomy model and major depression. J Chem Neuroanat. 2018;91:63–100., DOI: 10.1016/j.jchemneu.2018.04.001 49 10.1016/j.jchemneu.2018.04.001 false true Reference 51763125 /api/reference/51763125 50. Cheng K, Li J, Yang D, Yang Y, Rao C, Zhang S, et al. 2D-gel based proteomics unravels neurogenesis and energetic metabolism dysfunction of the olfactory bulb in CUMS rat model. Behav Brain Res. 2016;313:302–9., DOI: 10.1016/j.bbr.2016.05.026 50 10.1016/j.bbr.2016.05.026 false true Reference 51763126 /api/reference/51763126 51. He Y, Wang Y, Wu Z, Lan T, Tian Y, Chen X, et al. Metabolomic abnormalities of purine and lipids implicated olfactory bulb dysfunction of CUMS depressive rats. Metab Brain Dis. 2020;35:649–59., DOI: 10.1007/s11011-020-00557-8 51 10.1007/s11011-020-00557-8 false true Reference 51763127 /api/reference/51763127 52. Negoias S, Hummel T, Symmank A, Schellong J, Joraschky P, Croy I. Olfactory bulb volume predicts therapeutic outcome in major depression disorder. Brain Imaging Behav. 2016;10:367–72., DOI: 10.1007/s11682-015-9400-x 52 10.1007/s11682-015-9400-x false true Reference 51763128 /api/reference/51763128 53. Takahashi T, Nishikawa Y, Yücel M, Whittle S, Lorenzetti V, Walterfang M, et al. Olfactory sulcus morphology in patients with current and past major depression. Psychiatry Res Neuroimaging. 2016;255:60–5., DOI: 10.1016/j.pscychresns.2016.07.008 53 10.1016/j.pscychresns.2016.07.008 false true Reference 51763129 /api/reference/51763129 54. Kamath V, Paksarian D, Cui L, Moberg PJ, Turetsky BI, Merikangas KR. Olfactory processing in bipolar disorder, major depression, and anxiety. Bipolar Disord. 2018;20:547–55., DOI: 10.1111/bdi.12625 54 10.1111/bdi.12625 false true Reference 51763130 /api/reference/51763130 55. Wang F, Jin J, Wang J, He R, Li K, Hu X, et al. Association between olfactory function and inhibition of emotional competing distractors in major depressive disorder. Sci Rep. 2020;10:6322., DOI: 10.1038/s41598-020-63416-7 55 10.1038/s41598-020-63416-7 false true Reference 51763131 /api/reference/51763131 56. Wang F, Wu X, Gao J, Li Y, Zhu Y, Fang Y. The relationship of olfactory function and clinical traits in major depressive disorder. Behav Brain Res. 2020;386:112594., DOI: 10.1016/j.bbr.2020.112594 56 10.1016/j.bbr.2020.112594 false true Reference 51763132 /api/reference/51763132 57. Naudin M, El-Hage W, Gomes M, Gaillard P, Belzung C, Atanasova B. State and trait olfactory markers of major depression. PLoS ONE. 2012;7:e46938., DOI: 10.1371/journal.pone.0046938 57 10.1371/journal.pone.0046938 false true Reference 51763133 /api/reference/51763133 58. Croy I, Hummel T. Olfaction as a marker for depression. J Neurol. 2017;264:631–8., DOI: 10.1007/s00415-016-8227-8 58 10.1007/s00415-016-8227-8 false true Reference 51763134 /api/reference/51763134 59. Negoias S, Pietsch K, Hummel T. Changes in olfactory bulb volume following lateralized olfactory training. Brain Imaging Behav. 2017;11:998–1005., DOI: 10.1007/s11682-016-9567-9 59 10.1007/s11682-016-9567-9 false true Reference 51763135 /api/reference/51763135 60. Barlow DH, Ellard KK, Sauer-Zavala S, Bullis JR, Carl JR. The Origins of Neuroticism. Perspect Psychol Sci. 2014;9:481–96., DOI: 10.1177/1745691614544528 60 10.1177/1745691614544528 false true Reference 51763136 /api/reference/51763136 61. Bycroft C, Freeman C, Petkova D, Band G, Elliott LT, Sharp K, et al. The UK Biobank resource with deep phenotyping and genomic data. Nature. 2018;562:203–9., DOI: 10.1038/s41586-018-0579-z 61 10.1038/s41586-018-0579-z false true /api/publication/34779723 Eszlári Nóra et al. Olfactory genes affect major depression in highly educated, emotionally stable, lean women: a bridge between animal models and precision medicine. (2024) TRANSLATIONAL PSYCHIATRY 2158-3188 2158-3188 14 1<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10045710"><a href="/gui2/?type=authors&mode=browse&sel=10045710" target="_blank">Eszlári Nóra ✉ (<span class="authorship-author-name">Eszlári Nóra</span> <span class="authorAux-mtmt"> Pszichiátriai genetika</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/Gyógyszerhatástani Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/<span title="Gyógyszerhatástani Intézet">GYHATAS</span>/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10041077"><a href="/gui2/?type=authors&mode=browse&sel=10041077" target="_blank">Hullám Gábor (<span class="authorship-author-name">Hullám Gábor István</span> <span class="authorAux-mtmt"> informatika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Méréstechnika és Információs Rendszerek Tanszék; <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/Gyógyszerhatástani Intézet</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10067900"><a href="/gui2/?type=authors&mode=browse&sel=10067900" target="_blank">Gál Zsófia (<span class="authorship-author-name">Gál Zsófia</span> <span class="authorAux-mtmt"> neurobiológia, pszichiátriai genetika</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/Gyógyszerhatástani Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/<span title="Gyógyszerhatástani Intézet">GYHATAS</span>/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10075294"><a href="/gui2/?type=authors&mode=browse&sel=10075294" target="_blank">Török Dóra (<span class="authorship-author-name">Török Dóra</span> <span class="authorAux-mtmt"> pszichiátriai genetika</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/Gyógyszerhatástani Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/<span title="Gyógyszerhatástani Intézet">GYHATAS</span>/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10078334"><a href="/gui2/?type=authors&mode=browse&sel=10078334" target="_blank">Nagy Tamás (<span class="authorship-author-name">Nagy Tamás</span> <span class="authorAux-mtmt"> bioinformatika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Méréstechnika és Információs Rendszerek Tanszék; <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/<span title="Gyógyszerhatástani Intézet">GYHATAS</span>/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport; <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/Gyógyszerhatástani Intézet</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10041129"><a href="/gui2/?type=authors&mode=browse&sel=10041129" target="_blank">Millinghoffer András (<span class="authorship-author-name">Millinghoffer András Dániel</span> <span class="authorAux-mtmt"> információs rendszerek</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Méréstechnika és Információs Rendszerek Tanszék; <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/<span title="Gyógyszerhatástani Intézet">GYHATAS</span>/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10060155"><a href="/gui2/?type=authors&mode=browse&sel=10060155" target="_blank">Baksa Dániel (<span class="authorship-author-name">Baksa Dániel</span> <span class="authorAux-mtmt"> pszichológia, genetika, fMRI</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/Gyógyszerhatástani Intézet; <span title="Pázmány Péter Katolikus Egyetem">PPKE</span>/<span title="Bölcsészet- és Társadalomtudományi Kar">BTK</span>/<span title="Pszichológiai Intézet">PszichI</span>/Személyiség- és Klinikai Pszichológia Tanszék (PPKE); <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/<span title="Gyógyszerhatástani Intézet">GYHATAS</span>/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10003491"><a href="/gui2/?type=authors&mode=browse&sel=10003491" target="_blank">Gonda Xénia (<span class="authorship-author-name">Gonda Xénia</span> <span class="authorAux-mtmt"> Pszichiátria, pszichiátriai genetika, farmakoló...</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/Pszichiátriai és Pszichoterápiás Klinika; <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/<span title="Gyógyszerhatástani Intézet">GYHATAS</span>/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10041166"><a href="/gui2/?type=authors&mode=browse&sel=10041166" target="_blank">Antal Péter (<span class="authorship-author-name">Antal Péter</span> <span class="authorAux-mtmt"> bioinformatika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Méréstechnika és Információs Rendszerek Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10001318"><a href="/gui2/?type=authors&mode=browse&sel=10001318" target="_blank">Bagdy György (<span class="authorship-author-name">Bagdy György</span> <span class="authorAux-mtmt"> Neuropszichofarmakológia, gyógyszertan</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/Gyógyszerhatástani Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/<span title="Gyógyszerhatástani Intézet">GYHATAS</span>/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10017483"><a href="/gui2/?type=authors&mode=browse&sel=10017483" target="_blank">Juhász Gabriella (<span class="authorship-author-name">Juhász Gabriella</span> <span class="authorAux-mtmt"> Neurológia</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/Gyógyszerhatástani Intézet; <span title="Semmelweis Egyetem">SE</span>/<span title="Gyógyszerésztudományi Kar">GYTK</span>/<span title="Gyógyszerhatástani Intézet">GYHATAS</span>/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;34779723" target="_blank">Olfactory genes affect major depression in highly educated, emotionally stable, lean women: a bridge between animal models and precision medicine</a></div> <div> <span class="journal-title">TRANSLATIONAL PSYCHIATRY</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/2158-3188">2158-3188</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/2158-3188">2158-3188</a>)</span>: <span class="journal-volume">14</span> <span class="journal-issue">1</span> <span class="page"> Paper 182. 10 p. </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.1038/s41398-024-02867-2" target="_blank" href="https://doi.org/10.1038/s41398-024-02867-2"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001198622600001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001198622600001"> WoS </a> </span> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:black" title="204777" target="_blank" href="https://real.mtak.hu/204777"> REAL </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85190356113" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85190356113"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="38589364" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=38589364&dopt=Abstract"> PubMed </a> </span> <span class="id identifier oa_NONE" title=" Nincs "> <a style="color:black" title="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190356113&doi=10.1038%2Fs41398-024-02867-2&partnerID=40&md5=75deeb78295c210ccdb5c43bd9a16298" target="_blank" href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190356113&doi=10.1038%2Fs41398-024-02867-2&partnerID=40&md5=75deeb78295c210ccdb5c43bd9a16298"> Egyéb URL </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Biological Psychiatry&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Psychiatry and Mental Health&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Cellular and Molecular Neuroscience&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 5</span> | Független: 2 | Függő: 3 | Nem jelölt: 0 | WoS jelölt: 4 | Scopus jelölt:&nbsp;2 | WoS/Scopus jelölt:&nbsp;4 | DOI jelölt:&nbsp;5 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;34779723&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 5 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 34779723</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="funder"> (139330), (K 143391), (PD 146014), (2019-2.1.7-ERA-NET-2020-00005) Támogató: Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal, ERA PerMed(ERAPERMED2019-108), Hungarian National Brain Research Program(2017-1.2.1-NKP-2017-00002), National Brain Programme(NAP2022-I-4/2022 3.0), MILAB(RRF-2.3.1-21-2022-00004) Támogató: NKFIH, (ÚNKP-22-4-II-SE-1), (ÚNKP-23-4-II-SE-2) </div> <div class="lastModified">Utolsó módosítás: 2026.02.03. 14:22 Ruzsits Ágnes (SE_GYTK_Gyhatástan_Admin5_RÁ, admin) </div> </div></div>