{"entity": "journal", "iuid": "507d0380694b40ae92c47e8408008a2b", "timestamp": "2026-06-10T15:20:28.067Z", "links": {"self": {"href": "https://publications.scilifelab.se/journal/Biol%20Psychiatry%20Glob%20Open%20Sci.json"}, "display": {"href": "https://publications.scilifelab.se/journal/Biol%20Psychiatry%20Glob%20Open%20Sci"}}, "title": "Biol Psychiatry Glob Open Sci", "issn": "2667-1743", "issn-l": null, "publications_count": 2, "publications": [{"entity": "publication", "iuid": "c027601d1dfd4b72a6c77d6aada03e78", "links": {"self": {"href": "https://publications.scilifelab.se/publication/c027601d1dfd4b72a6c77d6aada03e78.json"}, "display": {"href": "https://publications.scilifelab.se/publication/c027601d1dfd4b72a6c77d6aada03e78"}}, "title": "Multilayered Epigenetic Analysis Identifies a Molecular Portrait for Psychological Resilience in Patients With Breast Cancer.", "authors": [{"family": "Richter", "given": "Corinna", "initials": "C"}, {"family": "Dethlefsen", "given": "Olga", "initials": "O"}, {"family": "Axelsson", "given": "Ulrika", "initials": "U"}, {"family": "Lundberg", "given": "Kristina", "initials": "K"}, {"family": "Ryd\u00e9n", "given": "Lisa", "initials": "L"}, {"family": "Johnsson", "given": "Per", "initials": "P"}, {"family": "Ringdahl", "given": "Ulrika", "initials": "U"}, {"family": "Hallberg", "given": "Ingalill Rahm", "initials": "IR"}, {"family": "Borrebaeck", "given": "Carl A K", "initials": "CAK"}], "type": "journal article", "published": "2025-09-00", "journal": {"title": "Biol Psychiatry Glob Open Sci", "issn": "2667-1743", "volume": "5", "issue": "5", "pages": "100545", "issn-l": null}, "abstract": "Psychological resilience refers to a person's positive adaptation when faced with adversities, such as a breast cancer (BC) diagnosis. Highly resilient patients are more likely to regain stability and be protected from health conditions such as depression, anxiety, and posttraumatic stress disorder. We aimed to identify epigenetic markers that distinguish high- and low-resilient patients in a BC cohort at time of diagnosis.\n\nGenome-wide DNA methylation was determined in participants selected from a prospectively collected cohort of 1040 newly diagnosed BC patients with known resilience status. DNA methylation of those displaying the highest and lowest scores (n = 425), as measured by the Connor-Davidson Resilience Scale, was analyzed in whole blood, using a multilayered bioinformatic approach. Sample subsets were created to identify differentially methylated probes (DMPs) and differentially methylated regions (DMRs), and fold change and area size were used to estimate the strength of methylation differences. The key regions associated with psychological resilience allowed us to build a classifier, using a random forest model, which was validated using an independent cohort (n = 80).\n\nDMPs and DMRs that consistently distinguished samples derived from high- and low-resilient patients were identified, and methylation differences followed a dose-response pattern related to resilience levels. DMRs included LY6G5C, ZFP57, CDH9, ZNF727, and C8orf31, where LY6G5C was found to be the most consistent DMR. Psychological resilience status could be predicted in the independent cohort with an area under the curve of 0.74 and a sensitivity and specificity of 0.67 and 0.72, respectively.\n\nLY6G5C was identified as a novel marker for psychological resilience, paving the way for a more conceptual and comprehensive molecular understanding.", "doi": "10.1016/j.bpsgos.2025.100545", "pmid": "40697488", "labels": {"Bioinformatics (NBIS)": "Collaborative", "Bioinformatics Support and Infrastructure": "Collaborative", "Bioinformatics Support, Infrastructure and Training": "Collaborative"}, "xrefs": [{"db": "pmc", "key": "PMC12281357"}, {"db": "pii", "key": "S2667-1743(25)00099-0"}], "notes": [], "created": "2025-11-17T10:18:22.349Z", "modified": "2025-11-17T10:18:22.358Z"}, {"entity": "publication", "iuid": "255178c9a25c4c43b577b4eba3411a04", "links": {"self": {"href": "https://publications.scilifelab.se/publication/255178c9a25c4c43b577b4eba3411a04.json"}, "display": {"href": "https://publications.scilifelab.se/publication/255178c9a25c4c43b577b4eba3411a04"}}, "title": "Alterations in the Serum Proteome Following Electroconvulsive Therapy for a Major Depressive Episode: A Longitudinal Multicenter Study.", "authors": [{"family": "G\u00f6teson", "given": "Andreas", "initials": "A"}, {"family": "Clements", "given": "Caitlin C", "initials": "CC"}, {"family": "Jur\u00e9us", "given": "Anders", "initials": "A"}, {"family": "Joas", "given": "Erik", "initials": "E"}, {"family": "Holm\u00e9n Larsson", "given": "Jessica", "initials": "J"}, {"family": "Karlsson", "given": "Robert", "initials": "R"}, {"family": "Nordenskj\u00f6ld", "given": "Axel", "initials": "A"}, {"family": "P\u00e5lsson", "given": "Erik", "initials": "E"}, {"family": "Land\u00e9n", "given": "Mikael", "initials": "M"}], "type": "journal article", "published": "2023-10-00", "journal": {"title": "Biol Psychiatry Glob Open Sci", "issn": "2667-1743", "volume": "3", "issue": "4", "pages": "884-892", "issn-l": null}, "abstract": "Electroconvulsive therapy (ECT) is the most effective treatment for severe depression, but the biological changes induced by ECT remain poorly understood.\n\nThis study investigated alterations in blood serum proteins in 309 patients receiving ECT for a major depressive episode. We analyzed 201 proteins in samples collected at 3 time points (T): just before the first ECT treatment session (T0), within 30 minutes after the first ECT session (T1), and just before the sixth ECT session (T2).\n\nUsing statistical models to account for repeated sampling, we identified 152 and 70 significantly (<5% false discovery rate) altered proteins at T1 and T2, respectively. The most pronounced alterations at T1 were transiently increased levels of prolactin, myoglobin, and kallikrein-6. However, most proteins had decreased levels at T1, with the largest effects observed for pro-epidermal growth factor, proto-oncogene tyrosine-protein kinase Src, tumor necrosis factor ligand superfamily member 14, sulfotransferase 1A1, early activation antigen CD69, and CD40 ligand. The change of several acutely altered proteins correlated with electric current and pulse frequency in a dose-response-like manner. Over a 5-session course of ECT, some acutely altered levels were sustained while others increased, e.g., serine protease 8 and chitinase-3-like protein 1. None of the studied protein biomarkers were associated with clinical response to ECT.\n\nWe report experimental data on alterations in the circulating proteome triggered by ECT in a clinical setting. The findings implicate hormonal signaling, immune response, apoptotic processes, and more. None of the findings were associated with clinical response to ECT.", "doi": "10.1016/j.bpsgos.2022.11.005", "pmid": "37881534", "labels": {"Affinity Proteomics Uppsala": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC10593865"}, {"db": "pii", "key": "S2667-1743(22)00147-1"}], "notes": [], "created": "2023-11-29T19:12:43.259Z", "modified": "2023-11-29T19:12:43.278Z"}], "created": "2023-11-29T19:12:43.268Z", "modified": "2023-11-29T19:12:43.268Z"}