The role of stress in the biological embedding of experience DOI Creative Commons
Robert Kumsta

Psychoneuroendocrinology, Journal Year: 2023, Volume and Issue: 156, P. 106364 - 106364

Published: Aug. 10, 2023

Exposure to early adversity is one of the most important and pervasive risk factors for development nearly all major mental disorders across lifespan. In search mediating mechanisms processes that underlie long-term stability these effects, changes stress-associated hormonal cellular signalling have emerged as prime candidates. This review summarises evidence showing experience in form childhood abuse or neglect exposure severe institutional deprivation influences multiple interconnected bio-behavioural, physiological processes. paper focusses on dysregulations stress regulation, altered DNA methylation pattern, transcriptomic profiles context stress-immune interplay, mitochondrial biology. Consistent findings include a relative cortisol hypoactivity hyporeactivity response challenge, increased activity pro-inflammatory genes, function. The majority investigations focussed single outcomes, but there clear rationale conceiving implicated parts wider regulatory network, which turn connected behaviour disorders. calls integrated longitudinal come more comprehensive understanding role biological embedding experience. concludes with considerations how research can contribute translational efforts through characterising subtypes arise function adversity, distinct features behavioral processing.

Language: Английский

Epigenetic factors in posttraumatic stress disorder resilience and susceptibility DOI Creative Commons
Majeed M. A. Ali,

Ibrahim El Tantawy El Sayed,

Yuliang Wang

et al.

Egyptian Journal of Medical Human Genetics, Journal Year: 2025, Volume and Issue: 26(1)

Published: March 20, 2025

Abstract Background Posttraumatic stress disorder (PTSD) affects approximately 8% of the US population, with varying susceptibility among individuals exposed to trauma. While genetic factors contribute PTSD risk, emerging evidence suggests that epigenetic mechanisms play a crucial role in translating environmental exposures into lasting neurobiological changes. Purpose This review provides comprehensive analysis cutting-edge research on PTSD, particular emphasis novel findings regarding resilience and mechanisms. We explore recent technological advances their applications understanding pathophysiology. Main body Advanced epigenomic approaches have revealed complex interactions between DNA methylation, histone modifications, non-coding RNAs PTSD. Novel highlight cell type-specific signatures temporal dynamics following trauma exposure. Single-cell studies identified previously unknown cellular heterogeneity responses. Recent data modifications not only influence individual but may also transgenerational transmission effects. Integrative multi-omics new insights molecular networks underlying vulnerability. Conclusion unprecedented complexity These open avenues for personalized interventions based profiles suggest therapeutic strategies targeting modifications. enhanced has significant implications risk assessment, prevention, treatment. Graphical abstract

Language: Английский

Citations

0

Protein associations and protein–metabolite interactions with depressive symptoms and the p-factor DOI Creative Commons
Alyce M. Whipp, Gabin Drouard, Richard J. Rose

et al.

Translational Psychiatry, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 6, 2025

Abstract Despite increasing mental health problems among young people, few studies have examined associations between plasma proteins and health. Interactions metabolites in association with remain underexplored. In 730 twins, we quantified measured at age 22 21 indicators of either depressive symptoms or the p-factor tested for interactions metabolites. Symptoms were collected from questionnaires interviews completed by different raters (e.g., self-report, teachers) through adolescence to adulthood (12 years). We found 47 associated (FDR < 0.2), 9 being both. Two proteins, contactin-1 mast/stem cell growth factor receptor kit, positively interacted valine levels explaining variability. Our study demonstrates strong provides evidence proteome–metabolome higher problems.

Language: Английский

Citations

0

Leveraging pleiotropy for the improved treatment of psychiatric disorders DOI Creative Commons
D Woodward, Jackson G. Thorp, Christel M. Middeldorp

et al.

Molecular Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 10, 2024

Over 90% of drug candidates fail in clinical trials, while it takes 10-15 years and one billion US dollars to develop a single successful drug. Drug development is more challenging for psychiatric disorders, where disease comorbidity complex symptom profiles obscure the identification causal mechanisms therapeutic intervention. One promising approach determining suitable trials integrating human genetic data into selection process. Genome-wide association studies have identified thousands replicable risk loci sophisticated statistical tools are increasingly effective at using these pinpoint likely genes. These also uncovered shared or pleiotropic factors underlying comorbid disorders. In this article, we argue that leveraging effects will provide opportunities discover novel targets identify treatments disorders by targeting common mechanism rather than treating each separately.

Language: Английский

Citations

3

Multi-omics data integration and analysis pipeline for precision medicine: systematic review DOI
Esraa Hamdi Abdelaziz, Rasha M. Ismail,

Mai S. Mabrouk

et al.

Computational Biology and Chemistry, Journal Year: 2024, Volume and Issue: 113, P. 108254 - 108254

Published: Oct. 16, 2024

Language: Английский

Citations

2

Whole Person Modeling: a transdisciplinary approach to mental health research DOI Creative Commons
Daniel Felsky,

Alyssa Cannitelli,

Jon Pipitone

et al.

Discover Mental Health, Journal Year: 2023, Volume and Issue: 3(1)

Published: Aug. 24, 2023

The growing global burden of mental illness has prompted calls for innovative research strategies. Theoretical models health include complex contributions biological, psychosocial, experiential, and other environmental influences. Accordingly, neuropsychiatric self-organized into largely isolated disciplines working to decode each individual contribution. However, directly modeling objective biological measurements in combination with cognitive, psychological, demographic, or is only now beginning proliferate. This review aims (1) describe the landscape modern current movement towards integrative study, (2) provide a concrete framework quantitative research, which we call Whole Person Modeling, (3) explore existing emerging techniques methods used (4) discuss our observations about scarcity, potential value, untested aspects highly transdisciplinary general. Modeling studies have better understanding multilevel phenomena, deliver more accurate diagnostic prognostic tests aid clinical decision making, test long standing theoretical illness. Some barriers progress challenges interdisciplinary communication collaboration, systemic cultural career paths, technical model specification, bias, data harmonization, gaps educational programs. We hope ease anxiety field surrounding often mysterious intimidating world transdisciplinary, data-driven useful orientation students specialized researchers who are new this area.

Language: Английский

Citations

6

Large-scale imputation models for multi-ancestry proteome-wide association analysis DOI Creative Commons
Chong Wu, Zichen Zhang,

Xiaochen Yang

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 9, 2023

Abstract Proteome-wide association studies (PWAS) decode the intricate proteomic landscape of biological mechanisms for complex diseases. Traditional PWAS model training relies heavily on individual-level reference proteomes, thereby restricting its capacity to harness emerging summary-level protein quantitative trait loci (pQTL) data in public domain. Here we introduced a novel framework train models directly from pQTL summary statistics. By leveraging extensive UK Biobank, deCODE, and ARIC studies, applied our approach large-scale European (total n = 88,838 subjects). Furthermore, developed tailored Asian African ancestries by integrating multi-ancestry resources 914 3,042 ancestries). We validated performance through systematic analysis over 700 phenotypes across five major genetic resources. Our results bridge gap between genomics proteomics drug discovery, highlighting protein-phenotype links their transferability diverse ancestries. The are freely available at www.gcbhub.org .

Language: Английский

Citations

6

Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research DOI Creative Commons
Mingxia Liu, Wen Ma,

Yi He

et al.

Molecules, Journal Year: 2023, Volume and Issue: 28(21), P. 7430 - 7430

Published: Nov. 4, 2023

Major depressive disorder (MDD) is a serious mental illness with heavy social burden, but its underlying molecular mechanisms remain unclear. Mass spectrometry (MS)-based metabolomics providing new insights into the heterogeneous pathophysiology, diagnosis, treatment, and prognosis of MDD by revealing multi-parametric biomarker signatures at metabolite level. In this comprehensive review, recent developments MS-based in research are summarized from perspective analytical platforms (liquid chromatography-MS, gas supercritical fluid etc.), strategies (untargeted, targeted, pseudotargeted metabolomics), key changes (monoamine neurotransmitters, amino acids, lipids, antidepressant treatments (both western traditional Chinese medicines). Depression sub-phenotypes, comorbid depression, multi-omics approaches also highlighted to stimulate further advances field research.

Language: Английский

Citations

5

HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data DOI Creative Commons
W. Li, Zhining Zhang, Bo Xie

et al.

Computational and Structural Biotechnology Journal, Journal Year: 2024, Volume and Issue: 23, P. 659 - 668

Published: Jan. 5, 2024

Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed comprehensive analysis and visualization data. HiOmics utilizes Element Plus framework to craft user-friendly interface harnesses Docker container ensure reliability reproducibility results. Furthermore, employs Workflow Description Language Cromwell engine construct workflows, ensuring portability simplifying examination intricate Additionally, has developed DataCheck, tool based on Golang, which verifies converts formats. Finally, leveraging object storage batch computing capabilities public cloud platforms, enables processing large-scale while maintaining resource independence among users.

Language: Английский

Citations

1

Putative Risk Biomarkers of Bipolar Disorder in At-risk Youth DOI
Xinyu Meng, Shengmin Zhang, Shuzhe Zhou

et al.

Neuroscience Bulletin, Journal Year: 2024, Volume and Issue: 40(10), P. 1557 - 1572

Published: May 6, 2024

Language: Английский

Citations

1

Current best practices and future opportunities for reproducible findings using large-scale neuroimaging in psychiatry DOI Creative Commons
Neda Jahanshad, Petra Lenzini, Janine Bijsterbosch

et al.

Neuropsychopharmacology, Journal Year: 2024, Volume and Issue: 50(1), P. 37 - 51

Published: Aug. 8, 2024

Abstract Research into the brain basis of psychopathology is challenging due to heterogeneity psychiatric disorders, extensive comorbidities, underdiagnosis or overdiagnosis, multifaceted interactions with genetics and life experiences, highly multivariate nature neural correlates. Therefore, increasingly larger datasets that measure more variables in cohorts are needed gain insights. In this review, we present current “best practice” approaches for using existing databases, collecting sharing new repositories big data analyses, future directions neuroimaging psychiatry an emphasis on contributing collaborative efforts challenges multi-study analysis.

Language: Английский

Citations

1