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      <comment>Acknowledgements: The TRAJECTOME project (https://semmelweis.hu/TRAJECTOME/TRAJECTOME/) was supported by the ERA PerMed Joint Translational Call 2019 (application number: ERAPERMED2019-108). At national level the project was funded by the National Research, Development and Innovation Offi ce (2019-2.1.7-ERA-NET-2020-00005), Hungary; by the Federal Ministry of Education and Research (BMBF, gr. No. 01KU2004), Germany; by the Academy of Finland under the frame of ERA PerMed (TRAJECTOME project, ERAPERMED2019-108), Finland; and by the Catalan Department of Health (SLD002/19/000002), Spain. The UK Biobank database resource was utilised under application number 1602, which includes medical and phenotypic data of recruited participants on the NHS patient registers of people aged 40–69 years [51].</comment>
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      <abstractText>Depression is a highly prevalent and debilitating condition, yet we still lack both in-depth knowledge concerning its etiopathology and sufficiently efficacious treatment options. With approximately one third of patients resistant to currently available antidepressants there is a pressing need for a better understanding of depression, identifying subgroups within the highly heterogeneous illness category and to understand the divergent underlying biology of such subtypes, to help develop and personalise treatments. The TRAJECTOME project aims to address such challenges by (1) identifying depression-related multimorbidity subgroups and shared molecular pathways based on temporal disease profiles from healthcare systems and biobank data using machine learning approaches, and by (2) characterising these subgroups from multiple aspects including genetic variants, metabolic processes, lifestyle and environmental factors. Following the identification of multimorbidity trajectories, a disease burden score related to depression and adjusted for multimorbidity was established summarising the current state of the patient to weigh the molecular mechanisms associated with depression. In addition, the role of genetic and environmental factors, and also their interactions were identified for all subgroups. The project also attempted to identify potential metabolomic markers for the early diagnostics of these multimorbidity conditions. Finally, we prioritized molecular drug candidates matching the multimorbidity pathways indicated for the individual subgroups which would potentially offer personalised treatment simultaneously for the observable multimorbid conditions yet minimising polypharmacy and related side effects. The present paper overviews the TRAJECTOME project including its aims, tasks, procedures and accomplishments. (Neuropsychopharmacol Hung 2023; 25(4): 183-193)</abstractText>
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&lt;span class=&quot;author-affil&quot;&gt;&lt;span title=&quot;Budapesti Műszaki és Gazdaságtudományi Egyetem&quot;&gt;BME&lt;/span&gt;/&lt;span title=&quot;Villamosmérnöki és Informatikai Kar&quot;&gt;VIK&lt;/span&gt;/Méréstechnika és Információs Rendszerek Tanszék; &lt;span title=&quot;Semmelweis Egyetem&quot;&gt;SE&lt;/span&gt;/&lt;span title=&quot;Gyógyszerésztudományi Kar&quot;&gt;GYTK&lt;/span&gt;/Gyógyszerhatástani Intézet&lt;/span&gt;
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																				   href=&quot;/gui2/?type=authors&amp;mode=browse&amp;sel=10067900&quot; target=&quot;_blank&quot;&gt;Gal Zsofia
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																				   href=&quot;/gui2/?type=authors&amp;mode=browse&amp;sel=10003491&quot; target=&quot;_blank&quot;&gt;Gonda Xenia
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&lt;span class=&quot;author-affil&quot;&gt;&lt;span title=&quot;Semmelweis Egyetem&quot;&gt;SE&lt;/span&gt;/&lt;span title=&quot;Gyógyszerésztudományi Kar&quot;&gt;GYTK&lt;/span&gt;/Gyógyszerhatástani Intézet; &lt;span title=&quot;Semmelweis Egyetem&quot;&gt;SE&lt;/span&gt;/&lt;span title=&quot;Általános Orvostudományi Kar&quot;&gt;AOK&lt;/span&gt;/&lt;span title=&quot;Klinikum&quot;&gt;K&lt;/span&gt;/Pszichiátriai és Pszichoterápiás Klinika; &lt;span title=&quot;Semmelweis Egyetem&quot;&gt;SE&lt;/span&gt;/&lt;span title=&quot;Gyógyszerésztudományi Kar&quot;&gt;GYTK&lt;/span&gt;/&lt;span title=&quot;Gyógyszerhatástani Intézet&quot;&gt;GYHATAS&lt;/span&gt;/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport&lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; mtid=&quot;10078334&quot;&gt;&lt;a 
																				   href=&quot;/gui2/?type=authors&amp;mode=browse&amp;sel=10078334&quot; target=&quot;_blank&quot;&gt;Nagy Tamas
            (&lt;span class=&quot;authorship-author-name&quot;&gt;Nagy Tamás&lt;/span&gt;
            &lt;span class=&quot;authorAux-mtmt&quot;&gt; bioinformatika&lt;/span&gt;)
			&lt;/a&gt;
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&lt;span class=&quot;author-affil&quot;&gt;&lt;span title=&quot;Budapesti Műszaki és Gazdaságtudományi Egyetem&quot;&gt;BME&lt;/span&gt;/&lt;span title=&quot;Villamosmérnöki és Informatikai Kar&quot;&gt;VIK&lt;/span&gt;/Méréstechnika és Információs Rendszerek Tanszék; &lt;span title=&quot;Semmelweis Egyetem&quot;&gt;SE&lt;/span&gt;/&lt;span title=&quot;Gyógyszerésztudományi Kar&quot;&gt;GYTK&lt;/span&gt;/&lt;span title=&quot;Gyógyszerhatástani Intézet&quot;&gt;GYHATAS&lt;/span&gt;/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport; &lt;span title=&quot;Semmelweis Egyetem&quot;&gt;SE&lt;/span&gt;/&lt;span title=&quot;Gyógyszerésztudományi Kar&quot;&gt;GYTK&lt;/span&gt;/Gyógyszerhatástani Intézet&lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; mtid=&quot;10028549&quot;&gt;&lt;a 
																				   href=&quot;/gui2/?type=authors&amp;mode=browse&amp;sel=10028549&quot; target=&quot;_blank&quot;&gt;Gezsi Andras
            (&lt;span class=&quot;authorship-author-name&quot;&gt;Gézsi András&lt;/span&gt;
            &lt;span class=&quot;authorAux-mtmt&quot;&gt; bioinformatika&lt;/span&gt;)
			&lt;/a&gt;
    &lt;/span&gt;
&lt;span class=&quot;author-affil&quot;&gt;&lt;span title=&quot;Budapesti Műszaki és Gazdaságtudományi Egyetem&quot;&gt;BME&lt;/span&gt;/&lt;span title=&quot;Villamosmérnöki és Informatikai Kar&quot;&gt;VIK&lt;/span&gt;/Méréstechnika és Információs Rendszerek Tanszék&lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Cano Isaac
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Van der Auwera Sandra
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Koukkanen Mikko
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; mtid=&quot;10041166&quot;&gt;&lt;a 
																				   href=&quot;/gui2/?type=authors&amp;mode=browse&amp;sel=10041166&quot; target=&quot;_blank&quot;&gt;Antal Peter
            (&lt;span class=&quot;authorship-author-name&quot;&gt;Antal Péter&lt;/span&gt;
            &lt;span class=&quot;authorAux-mtmt&quot;&gt; bioinformatika&lt;/span&gt;)
			&lt;/a&gt;
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&lt;span class=&quot;author-affil&quot;&gt;&lt;span title=&quot;Budapesti Műszaki és Gazdaságtudományi Egyetem&quot;&gt;BME&lt;/span&gt;/&lt;span title=&quot;Villamosmérnöki és Informatikai Kar&quot;&gt;VIK&lt;/span&gt;/Méréstechnika és Információs Rendszerek Tanszék&lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; mtid=&quot;10017483&quot;&gt;&lt;a 
																				   href=&quot;/gui2/?type=authors&amp;mode=browse&amp;sel=10017483&quot; target=&quot;_blank&quot;&gt;Juhasz Gabriella ✉
            (&lt;span class=&quot;authorship-author-name&quot;&gt;Juhász Gabriella&lt;/span&gt;
            &lt;span class=&quot;authorAux-mtmt&quot;&gt; Neurológia&lt;/span&gt;)
			&lt;/a&gt;
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&lt;span class=&quot;author-affil&quot;&gt;&lt;span title=&quot;Semmelweis Egyetem&quot;&gt;SE&lt;/span&gt;/&lt;span title=&quot;Gyógyszerésztudományi Kar&quot;&gt;GYTK&lt;/span&gt;/Gyógyszerhatástani Intézet; &lt;span title=&quot;Semmelweis Egyetem&quot;&gt;SE&lt;/span&gt;/&lt;span title=&quot;Gyógyszerésztudományi Kar&quot;&gt;GYTK&lt;/span&gt;/&lt;span title=&quot;Gyógyszerhatástani Intézet&quot;&gt;GYHATAS&lt;/span&gt;/NAP3.0-SE Neuropszichofarmakológiai Kutatócsoport&lt;/span&gt;

				    &lt;/div&gt;
&lt;/div&gt;
&lt;div class=&quot;title&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;34478390&quot; target=&quot;_blank&quot;&gt;A sound mind in a sound body a novel concept unravelling heterogeneity of depression&lt;/a&gt;&lt;/div&gt;    &lt;div&gt;		&lt;span class=&quot;journal-title&quot;&gt;NEUROPSYCHOPHARMACOLOGIA HUNGARICA&lt;/span&gt;

        &lt;span class=&quot;journal-issn&quot;&gt;(&lt;a target=&quot;_blank&quot; href=&quot;https://portal.issn.org/resource/ISSN/1419-8711&quot;&gt;1419-8711&lt;/a&gt; &lt;a target=&quot;_blank&quot; href=&quot;https://portal.issn.org/resource/ISSN/2064-2512&quot;&gt;2064-2512&lt;/a&gt;)&lt;/span&gt;:
		&lt;span class=&quot;journal-volume&quot;&gt;25&lt;/span&gt; &lt;span class=&quot;journal-issue&quot;&gt;4&lt;/span&gt;
&lt;span class=&quot;page&quot;&gt;
	pp 183-193
			
&lt;/span&gt;		 &lt;span class=&quot;year&quot;&gt;(2023)&lt;/span&gt;  
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&lt;div class=&quot;pub-footer&quot;&gt;

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									Scopus
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				&lt;div class=&quot;journal-subject&quot;&gt;Folyóirat szakterülete: Scopus - Neurology (clinical)&amp;nbsp;&amp;nbsp;&amp;nbsp;SJR indikátor:&amp;nbsp;Q4&lt;/div&gt;
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				&lt;div class=&quot;journal-subject&quot;&gt;Folyóirat szakterülete: Scopus - Neuroscience (miscellaneous)&amp;nbsp;&amp;nbsp;&amp;nbsp;SJR indikátor:&amp;nbsp;Q4&lt;/div&gt;
			&lt;div class=&quot;journal-subject&quot;&gt;Pszichológiai Tudományos Bizottság II. FTO PsziTB [1901-]&amp;nbsp;&amp;nbsp;&amp;nbsp;A&lt;/div&gt;
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    | &lt;span class=&quot;type-subtype&quot;&gt;Folyóiratcikk
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      		| &lt;span class=&quot;pub-category&quot;&gt;Tudományos&lt;/span&gt;
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&lt;div class=&quot;funder&quot;&gt; (2019-2.1.7-ERA-NET-2020-00005) Támogató: Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal   &lt;/div&gt;
&lt;div class=&quot;lastModified&quot;&gt;Utolsó módosítás: 2025.09.03. 09:40 Szalóky-Siki Ágnes (SE_KK_Admin5_SZSA, admin)
&lt;/div&gt;




	&lt;pre class=&quot;comment&quot; style=&quot;margin-top: 0; margin-bottom: 0;&quot;&gt;&lt;u&gt;Megjegyzés&lt;/u&gt;: Acknowledgements: The TRAJECTOME project (https://semmelweis.hu/TRAJECTOME/TRAJECTOME/) was supported by the ERA PerMed Joint Translational Call 2019 (application number: ERAPERMED2019-108). At national level the project was funded by the National Research, Development and Innovation Offi ce (2019-2.1.7-ERA-NET-2020-00005), Hungary; by the Federal Ministry of Education and Research (BMBF, gr. N...&lt;/pre&gt;
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