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Posts by Yuri Milaneschi

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The Metabolomic Signature of Stressful Life Events Stressful life events impact individual’s functionality and contribute to disease outcomes, yet the biological pathways underlying life stress remain unclear. We characterized the metabolomic profiles...

📣 preprint: "The Metabolomic Signature of Stressful Life Events". With data on >5,500 observations from 2 🇳🇱 cohorts we identified a specific biological signature of major life events, highlighting the connection of #stress with somatic & mental #health. #Metabolomics #Epidemiology 🔗 bit.ly/4vf15Xp

2 weeks ago 2 0 1 0
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Symptom-specific genetics reveal heterogeneity within major depressive disorder Background Major Depressive Disorder (MDD) is clinically and biologically heterogeneous. Here, we leveraged the genetics of individual depressive symptoms to dissect the disorder’s underlying heterogeneity. Methods We utilized the BIObanks Netherlands Internet Collaboration (BIONIC). A series of genome-wide association studies (effective- N range: 14,407 - 47,110) compared controls (N=48,286) with partially different subsets of lifetime MDD cases (range: 3,892–15,577), each endorsing one of 12 individual DSM-based depressive symptoms. Results were combined in genetic correlations that informed factor analyses with Genomic Structural Equation Modeling, decomposing underlying MDD liability dimensions. The identified factors were assessed and further characterized using multivariate regression of neurodevelopmental/psychiatric and cardiometabolic traits. Results All symptoms demonstrated substantial SNP-based heritability ( h²SNP: 0.088 – 0.127). Despite high between-symptom genetic correlations, factor analyses yielded two highly correlated ( rg =0.85) but still distinct latent factors: factor 1 (F1), capturing appetite/weight loss, insomnia, guilt/worthlessness, psychomotor slowing and suicidality, and factor 2 (F2), reflecting concentration problems, anhedonia, depressed mood, appetite/weight gain and fatigue. Overall, F1 had a stronger genetic overlap with neurodevelopmental/psychiatric phenotypes (e.g., autism: standardized estimate β =0.45, p =4.49×10⁻⁴; schizophrenia: β =0.40, p =1.73×10⁻⁴), while F2 significantly overlapped with cardiometabolic traits (e.g., metabolic syndrome: β =0.44, p =8.69×10⁻⁴; coronary artery disease: β =0.31, p =0.009). Conclusions We identified two genetic dimensions of MDD, each linked to partially distinct clinical manifestations and underlying biology, with one reflecting neurodevelopmental/psychiatric liabilities and the other capturing a strong cardiometabolic vulnerability. Disentangling such distinct dimensions may help guide patient stratification and targeted treatment, thereby advancing precision psychiatry. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement YM is partially supported by Amsterdam UMC StarterGrant (Ronde2), Amsterdam Neuroscience (PoC funding 2024-2026), and the Immuno MIND consortium, funded by UK Research and Innovation as part of the UK national Mental Health Platform. HMvL was supported in part by a VENI grant from the Talent Program of the Netherlands Organization of Scientific Research (NWO-ZonMW 09150161810021) and by NIMH grant R01MH125902. We are very grateful to everyone who participated in this research or worked on this project and its contributing studies. Funding for the BIONIC project was awarded to Dorret Boomsma and Brenda Penninx by the Biobanking and Biomolecular Resources Research Infrastructure (BBMRI-NL: 184.021.007; 184.033.111). Below are cohort-specific funding declarations and acknowledgements. We would like to thank the research participants and employees of 23andMe for making this work possible. Lifelines The Lifelines initiative has been made possible by subsidy from the Dutch Ministry of Health, Welfare and Sport, the Dutch Ministry of Economic Affairs, the University Medical Center Groningen (UMCG), Groningen University and the Provinces in the North of the Netherlands (Drenthe, Friesland, Groningen). NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation. VENI grant from the Talent Program of the Netherlands Organisation for Scientific Research (NWO-ZonMW 09150161810021). We thank Trynke de Jong for the contribution to Lifelines data collection. We thank Martje Bos and Victoria Trindade Pons for their help in preparing the Lifelines phenotype data. MooDFOOD European Union FP7 funding for MooDFOOD Project Multi-country cOllaborative project on the rOle of Diet, FOod-related behaviour, and Obesity in the prevention of Depression (grant agreement no. 613598). TRAILS Participating centers of the TRacking Adolescents Individual Lives Survey (TRAILS) include the University Medical Center and University of Groningen, the University of Utrecht, the Radboud Medical Center Nijmegen, and the Parnassia Group, all in the Netherlands. TRAILS has been financially supported by various grants from the Netherlands Organization for Scientific Research NWO (Medical Research Council program grant GB-MW 940-38-011; ZonMW Brainpower grant 100-001-004; ZonMw Risk Behavior and Dependence grant 60-60600-97-118; ZonMw Culture and Health grant 261-98-710; Social Sciences Council medium-sized investment grants GB-MaGW 480-01-006 and GB-MaGW 480-07-001; Social Sciences Council project grants GB-MaGW 452-04-314 and GB-MaGW 452-06-004; ZonMw Longitudinal Cohort Research on Early Detection and Treatment in Mental Health Care grant 636340002; NWO large-sized investment grant 175.010.2003.005; NWO Longitudinal Survey and Panel Funding 481-08-013 and 481-11-001; NWO Vici 016.130.002, 453-16-007/2735, and Vi.C.191.021; NWO Gravitation 024.001.003), the Dutch Ministry of Justice (WODC), the European Science Foundation (EuroSTRESS project FP-006), the European Research Council (ERC-2017-STG-757364 and ERC-CoG-2015-681466), Biobanking and Biomolecular Resources Research Infrastructure BBMRI-NL (CP 32), the Gratama foundation, the Jan Dekker foundation, the participating universities, and Accare. Statistical analyses are carried out on the Genetic Cluster Computer (http://www.geneticcluster.org), which is financially supported by the Netherlands Scientific Organization (NWO 480-05-003) along with a supplement from the Dutch Brain Foundation. LASA The Longitudinal Aging Study Amsterdam is largely supported by grants from the Netherlands Ministry of Health, Welfare and Sport, Directorate of Long-Term Care. NQplus NQplus was core funded by ZonMw (ZonMw, Grant 91110030); add-on funding was provided by ZonMW Gezonde Voeding (ZonMw, Grant 115100007), BBMRI (Grant BBMRI-NL RP9 and CP2011-38) and Wageningen University and Research. MOTAR The MOTAR study was funded by NWO VICI grant number 91811602 of B.W.J.H. Penninx. NWO had no role in the design of the study, the collection, analysis and interpretation of the data, or in the preparation, review, or approval of the manuscript. The Hoorn Studies The GWAS in the Hoorn studies was supported by the Amsterdam University Medical Center, a grant from the Foundation for the National Institutes of Health through the Accelerating Medicines Partnership (no. HART17AMP) and the Dutch String of Pearls Initiative. We appreciate the cooperation of the participants and research assistants who have been involved in the Hoorn Study and New Hoorn Study. We would like to thank Tootje Hoovers and Jolanda Bosman as well as all the researchers previously involved for the organization of both studies. Netherlands Twin Register NTR acknowledges funding from the Netherlands Organization for Scientific Research (NWO): Biobanking and Biomolecular Research Infrastructure (BBMRI-NL, 184.033.111) and the BBMRI-NL funded BIOS Consortium (NWO184.021.007); The Netherlands Twin Register is supported by grant NWO 480-15-001/674: Netherlands Twin Registry Repository: researching the interplay between genome and environment, the Avera Institute for Human Genetics and by multiple grants from the Netherlands Organization for Scientific Research (NWO). Genotyping was made possible by grants from NWO/SPI 56-464-14192, Genetic Association Information Network (GAIN) of the Foundation for the National Institutes of Health, Rutgers University Cell and DNA Repository (NIMH U24 MH 068457-06), the Avera Institute, Sioux Falls (USA) and the National Institutes of Health (NIH R01 HD042157-01A1, MH081802, Grand Opportunity grants 1RC2 MH089951 and 1RC2 MH089995) and European Research Council (ERC-230374). DIB acknowledges the Royal Netherlands Academy of Science Professor Award (PAH/6635). Nijmegen Biomedical Study The Nijmegen Biomedical Study is a population-based survey conducted at the Department for Health Evidence and the Department of Laboratory Medicine of the Radboud university medical center. Principal investigators of the Nijmegen Biomedical Study are L.A.L.M. Kiemeney, A.L.M. Verbeek, D.W. Swinkels en B. Franke. Doetinchem Cohort Study The Doetinchem Cohort Study is supported by the Dutch Ministry of Health, Welfare and Sport and the National Institute for Public Health and the Environment. We thank the respondents, epidemiologists and fieldworkers of the Municipal Health Service in Doetinchem for their contribution to the data collection for this study. The authors want to acknowledge the logistic management which was provided by P Vissink, and the data managers J van der Laan, R J de Kleine, I Toxopeus. Further, we thank all (senior) researchers who contributed to the data for collection, in particular in (alphabetical order): J M A de Boer, H B Bueno de Mesquita, P Engelfriet, G C Herber-Gast, G Hulsegge, D Kromhout, L Launer, A C J Nooyens, M C Ocke, S H van Oostrom, K Proper, J C Seidell, H A Smit, W G C Wendel-Vos. NESDA & NESDAsib The infrastructure for the NESDA study (www.nesda.nl) is funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development (ZonMw, grant number 10-0001002) and financial contributions by participating universities and mental health care organizations (VU University Medical Center, GGZ inGeest, Leiden University Medical Center, Leiden University, GGZ Rivierduinen, University Medical Center Groningen, University of Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Rob Giel Onderzoekscentrum). NESDO The infrastructure for NESDO is funded through the Fonds NutsOhra, Stichting tot Steun VCVGZ, NARSAD The Brain and Behaviour Research Fund, and the participating universities and mental health care organizations (VU University Medical Center, Leiden University Medical Center, University Medical Center Groningen, Radboud University Nijmegen Medical Center, and GGZ inGeest, GGNet, GGZ Nijmegen, GGZ Rivierduinen, Lentis, and Parnassia). ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: All relevant ethical regulations for working with human participants were followed in the conduct of the study, and written informed consent was obtained from all participants. The Medical Ethics Review Committee of the VU University Medical Center (IRB00002991) waived ethical approval for this work, 2014.449. I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes Summary statistics and analysis code will be made publicly available upon publication.

📣 Preprint: "Symptom-specific genetics reveal heterogeneity within major depressive disorder" led by @goulaan.bsky.social. We used #genetics of individual #depression symptoms from the #BIONIC 🇳🇱 project to decompose #MDD. bit.ly/3Nt43qA

3 weeks ago 15 4 0 1

Delighted to share my second collaboration with @thementalelf.bsky.social

In this piece, I discuss the study "An encompassing Mendelian randomization study of the causes and consequences of major depressive disorder" by @joellepasman.bsky.social et al.

3 months ago 5 2 0 0
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Depression subtypes linked to different cardiometabolic diseases New insights suggest that treatment should be tailored according to type of depression

It is known that #depression is linked to increased incidence of metabolic diseases; now, scientists led by @ymilaneschi.bsky.social from 🇳🇱 @amsterdamumc.bsky.social discovered that different types of depression are linked to different cardiometabolic diseases.

6 months ago 0 1 0 0

And now, a more comprehensive #openaccess edited volume 📚 on #Metabolic #Neuropsychiatry is available, capturing the collective work and reflections from the Ernst Strüngmann Forum.
link.springer.com/book/10.1007...

6 months ago 2 2 0 0
PNIRS 2026

PNIRS 2026

📣 #PNIRS2026: Save the Date‼️

🗓️ June 22–25, 2026
📍 New Orleans, Louisiana 🇺🇸

✨ Whether your PsychoNeuroImmunology research emphasizes the P, N, or I — we look forward to seeing your work and connecting in The Big Easy!

📻 Stay tuned for more info re: call for abstracts. Please spread the word 🙏🏼

6 months ago 15 11 1 1
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Energy Homeostasis in Depression Pathophysiology and Heterogeneity This study examines whether the genetic liability of metabolic, interoceptive, and motivational pathways involved in energy homeostasis regulation is associated with specific symptoms of major depress...

Our study in @JAMAPsych ja.ma/4lVx1eu Using 🧬 we found that disruptions in #energy pathways link to specific #MDD symptoms (⬆️ appetite & sleep). This suggests a #depression profile linked to #metabolic risk, opening doors to targeted treatments. #metabolicpsychiatry

8 months ago 3 1 0 0
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Major depression and atherosclerotic disease: Linking shared genetics to pathways in blood, brain, heart, and atherosclerotic plaques Background The increased risk of atherosclerotic diseases (stroke, coronary artery disease [CAD]) observed in depression may stem from shared pathophysiology. We examined whether: 1) major depression ...

🚨 Preprint Alert 🚨
"Major depression and atherosclerotic disease: linking shared genetics to pathways in blood, brain, heart, and atherosclerotic plaques. " 🧠🫀🩸 The title says it all. Great collaboration with @swvanderlaan.bsky.social . 📄 Read it here: bit.ly/4eTM8T2

9 months ago 10 3 0 0
Brain and body energy metabolism and potential for treatment of psychiatric disorders - Nature Mental Health This Perspective highlights the important role of energy metabolism in psychiatric disorders and sets the groundwork for future studies in the emerging field of metabolic psychiatry.

In May 2024, I joined an inspiring week at the Ernst Strüngmann Forum on #Metabolic #Neuropsychiatry.

Our first outcome is now in Nature Mental Health:
🧠 A Perspective on energy metabolism in psychiatric disorders
🔗 www.nature.com/articles/s44...

More to come in an upcoming volume—stay tuned!

9 months ago 1 1 0 1
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Nice reminder of our #PNIRS2025 symposium. @eimearfoley.bsky.social, Naoise Mac Giollabhui, @dpmoriarity.bsky.social (in cross-Atlantic telepathic connection) and I will wait for you tomorrow morning!

10 months ago 9 4 1 0

Looking forward to this!

If you're attending #PNIRS2025 be sure to come to our session (Symposia 4) on Wednesday morning and say hello 👋

@ymilaneschi.bsky.social @dpmoriarity.bsky.social @uob-ieu.bsky.social

10 months ago 9 7 0 0

Looking forward to connecting with colleagues at #PNIRS2025 in Bordeaux 🇫🇷.
Don't miss our symposium "Dissecting Depression Heterogeneity along Immuno-Metabolic Pathways: Triangulating Evidence from Hierarchical-Phenotyping, Experimental and Genomic Methods"
Time & Outline of the symposium ⬇️

10 months ago 5 2 0 0

Great discussion. Already on the lookout for the best opportunity to cite Neher 1967!

1 year ago 1 0 1 0
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Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort Translational Psychiatry - Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort

Our new study in Translational Psychiatry showed that acylcarnitines (involved in mitochondrial #energy production) were linked to the presence+severity of #depression. Bioenergetic pathways may open new avenues in psychiatry #MetabolicPsychiatry check the paper ➡️: rdcu.be/eaWoN

1 year ago 4 2 0 0
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Understanding immuno-metabolic depression | Mental health platform Researchers from ImmunoMIND recently published a review of the research about a form of depression called immuno-metabolic depression.

🔬 What is Immuno-metabolic Depression?

"Recognizing immune-metabolic mechanisms could be a relevant treatment target for part of the depressed population opens the doors to personalised psychiatry.”

Read more: 🔗 https://buff.ly/3WRwYpK

#MentalHealthResearch #DepressionResearch

1 year ago 3 4 0 0
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Countdown on for the annual @pnirs.bsky.social meeting in Bordeaux #PNIRS2025 . Very excited for our member sponsored symposium (June 11) with @eimearfoley.bsky.social and @dpmoriarity.bsky.social on #depression heterogeneity and #immunometabolic mechanisms See you in 🇫🇷

1 year ago 4 1 1 1

Looking forward! We will try to keep you awake

1 year ago 2 0 1 0
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New collaboration published in @brainbehavimm.bsky.social Analyses leveraging #genetic data highlighted the potential role of #metabolic alterations (e.g., dyslipidemia, dysglycemia) as mechanisms connecting #childhood maltreatment with psychiatric + somatic #multimorbidity. doi.org/10.1016/j.bb...

1 year ago 2 0 0 0

what a masterpiece!

1 year ago 1 0 0 0

Titolo fantastico

1 year ago 1 0 0 0
Article screenshot of a genome-wide association study of major depression published in the journal Cell

Article screenshot of a genome-wide association study of major depression published in the journal Cell

1/n Our multi-ancestry #GWAS meta-analysis of major depression is now published in @cellpress.bsky.social.

www.cell.com/cell/fulltex...

A thread 🧵:

1 year ago 74 25 4 10
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Immuno-metabolic depression: from concept to implementation Major depressive disorder is a common, disabling mental disorder characterized by extensive etiological and phenotypic heterogeneity. This heterogenei…

"Immuno-metabolic #depression: from concept to implementation". Our new collaborative review is out in THE LANCET Regional Health - Europe. We reflected on the current standing of the immuno-metabolic depression concept and its potential value for clinical implementation bit.ly/4iAlVdL #openaccess

1 year ago 4 3 0 0

Thanks, this gives me the opportunity to acknowledge the amazing editorial work of @eimearfoley.bsky.social, thank you!

1 year ago 2 0 1 0
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It was a pleasure to contribute to @thementalelf.bsky.social. In my piece, I discuss findings from a recent study by Spiller et al. (JAMA Psychiatry) on the heterogeneity of symptom presentation in mental disorder diagnoses.

1 year ago 9 7 1 0