{"entity": "researcher", "timestamp": "2026-10-05T20:31:54.933Z", "family": "Harlid", "given": "Sophia", "initials": "S", "orcid": "0000-0001-8540-6891", "affiliations": ["Ume\u00e5 University, Ume\u00e5, Sweden."], "links": {"self": {"href": "https://publications.scilifelab.se/researcher/76a824f2687b460890ae6d9ef40d97c9.json"}, "display": {"href": "https://publications.scilifelab.se/researcher/76a824f2687b460890ae6d9ef40d97c9"}}, "publications": [{"entity": "publication", "iuid": "9ffabc46b92c4c76be483815e6bba9dc", "links": {"self": {"href": "https://publications.scilifelab.se/publication/9ffabc46b92c4c76be483815e6bba9dc.json"}, "display": {"href": "https://publications.scilifelab.se/publication/9ffabc46b92c4c76be483815e6bba9dc"}}, "title": "Epigenetic mediation may explain intergenerational associations between maternal obesogenic lifestyle and children's birth weight: findings from the NorthPop prospective birth cohort.", "authors": [{"family": "De Silva", "given": "Kushan", "initials": "K", "orcid": "0000-0003-0301-0805", "researcher": {"href": "https://publications.scilifelab.se/researcher/0fb44e3f1d204c2a996e747704e2e77f.json"}}, {"family": "Lundberg-Ulfsdotter", "given": "Richard", "initials": "R"}, {"family": "Bod\u00e9n", "given": "Stina", "initials": "S", "orcid": "0000-0002-8958-975X", "researcher": {"href": "https://publications.scilifelab.se/researcher/8dcfadb86b8040499a7af3c4a744d3b2.json"}}, {"family": "Vinnars", "given": "Marie-Therese", "initials": "MT"}, {"family": "Ryden", "given": "Patrik", "initials": "P", "orcid": "0000-0002-0577-123X", "researcher": {"href": "https://publications.scilifelab.se/researcher/65e733a3351940749605f054834eebef.json"}}, {"family": "West", "given": "Christina E", "initials": "CE", "orcid": "0000-0001-9599-2580", "researcher": {"href": "https://publications.scilifelab.se/researcher/be2972e4afa744e5aa0525a4c9d89348.json"}}, {"family": "Domell\u00f6f", "given": "Magnus", "initials": "M"}, {"family": "Harlid", "given": "Sophia", "initials": "S", "orcid": "0000-0001-8540-6891", "researcher": {"href": "https://publications.scilifelab.se/researcher/76a824f2687b460890ae6d9ef40d97c9.json"}}], "type": "journal article", "published": "2025-10-29", "journal": {"title": "Clin Epigenetics", "issn": "1868-7083", "volume": "17", "issue": "1", "pages": "180", "issn-l": "1868-7075"}, "abstract": "Epigenetic alterations during fetal development have been proposed as key factors explaining associations between maternal lifestyle during pregnancy and later health outcomes in the offspring, pertaining to the developmental origin of health and disease hypothesis.\n\nTo assess the association of maternal lifestyle with offsprings' birth weight and underlying epigenetic mediatory mechanisms in the NorthPop prospective birth cohort.\n\nA three-step analytic pipeline was applied. In 722 mother-child pairs, overall associations between ten maternal lifestyle factors and the offspring's standardized birth weight were first evaluated by multiple linear regression. Three high-dimensional mediation methods, based on sure independence screening and penalized regression, were then applied on the beta methylation matrix to identify candidate CpG mediators in cord blood driving the significant overall associations. Finally, robust and ordinary least squares (OLS) regression-based classical mediation methods were used with candidate CpG probes to assess single- and multiple (parallel and serial)-mediator models on a low-dimensional space.\n\nGestational weight gain (GWG) (\u03b2-adj = 0.03; p = 2 \u00d7 10-5) and maternal BMI at the beginning of pregnancy (\u03b2-adj = 0.036; p = 1 \u00d7 10-4) were significantly associated with the offspring's standardized birth weight. High-dimensional mediation analyses identified pooled sets of four (cg19242268 [TCEA2]; cg08461903 [N/A]; cg14798382 [CHERP/C19orf44] and cg21516291 [SLC35C2]) and five (cg17040807 [CYGB]; cg19242268 [TCEA2]; cg26552621 [CIRBP]; cg04457572 [CDH23] and cg06457011 [PLCG1]) candidate CpG mediators related to GWG and BMI at the beginning of pregnancy, respectively. For both exposures, classical mediation analyses revealed a range of significant single- and multiple (both serial and parallel)-mediator models via both robust and OLS regression based approaches. These indicated the likely presence of individual, causally linked multiple, and causally independent multiple mediatory pathways underlying the two significant overall associations.\n\nOur findings support the hypothesis that neonatal health effects related to maternal lifestyle may be partly mediated by epigenetic alterations. Findings also suggest the possible involvement of multiple DNA methylation sites via various mediatory pathways.", "doi": "10.1186/s13148-025-02001-z", "pmid": "41163109", "labels": {"National Genomics Infrastructure": "Service", "NGI SNP genotyping": "Service", "NGI Uppsala (SNP&SEQ Technology Platform)": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC12570728"}, {"db": "pii", "key": "10.1186/s13148-025-02001-z"}], "notes": [], "created": "2025-11-07T07:25:46.328Z", "modified": "2025-11-11T13:52:44.760Z"}, {"entity": "publication", "iuid": "cbe37784889b4f2fa20d782492f9f6d6", "links": {"self": {"href": "https://publications.scilifelab.se/publication/cbe37784889b4f2fa20d782492f9f6d6.json"}, "display": {"href": "https://publications.scilifelab.se/publication/cbe37784889b4f2fa20d782492f9f6d6"}}, "title": "Chemical exposomics in biobanked plasma samples and associations with breast cancer risk factors", "authors": [{"family": "Edlund", "given": "Jessica", "initials": "J"}, {"family": "Sdougkou", "given": "Kalliroi", "initials": "K", "orcid": "0000-0001-9463-655X", "researcher": {"href": "https://publications.scilifelab.se/researcher/975451f91bf44300a7e4b0dbb91ea401.json"}}, {"family": "Papazian", "given": "Stefano", "initials": "S", "orcid": "0000-0003-2538-8702", "researcher": {"href": "https://publications.scilifelab.se/researcher/5de990c59ec4460e92c414dbc0ed0b16.json"}}, {"family": "Wu", "given": "Wendy Yi Ying", "initials": "WYY"}, {"family": "Martin", "given": "Jonathan W", "initials": "JW", "orcid": "0000-0001-6265-4294", "researcher": {"href": "https://publications.scilifelab.se/researcher/f275a68856cb459ebbc933b18c3e315d.json"}}, {"family": "Harlid", "given": "Sophia", "initials": "S", "orcid": "0000-0001-8540-6891", "researcher": {"href": "https://publications.scilifelab.se/researcher/76a824f2687b460890ae6d9ef40d97c9.json"}}], "type": "journal-article", "published": "2025-07-00", "journal": {"title": "J Expo Sci Environ Epidemiol", "issn": "1559-064X", "issn-l": null, "volume": "35", "issue": "4", "pages": "567-577"}, "abstract": "The chemical exposome includes exposure to numerous environmental and endogenous molecules, many of which have been linked to reproductive outcomes due to their endocrine-disrupting properties. As several breast cancer risk factors, including age and parity, are related to reproduction, it is imperative to investigate the interplay between such factors and the chemical exposome prior to conducting large scale exposome-based breast cancer studies.\n\nThis pilot study aimed to provide an overview of the chemical exposome in plasma samples from healthy women and identify associations between environmental exposures and three risk factors for breast cancer: age, parity, and age at menarche.\n\nPlasma samples (n = 161), were selected based on reproductive history from 100 women participating in the Northern Sweden Health and Disease Study, between 1987 and 2006. Samples were analyzed by liquid chromatography high-resolution mass spectrometry (LC-HRMS) for 77 priority target analytes including contaminants and hormones, with simultaneous untargeted profiling of the chemical exposome and metabolome. Linear mixed effects models were applied to test associations between risk factors and chemical levels.\n\nFifty-five target analytes were detected in at least one individual and over 94,000 untargeted features were detected across all samples. Among untargeted features, 430 could be annotated and were broadly classified as environmental (246), endogenous (167) or ambiguous (17). Applying mixed effect models to features detected in at least 70% of the samples (16,778), we found seven targeted analytes (including caffeine and various per- and poly-fluoroalkyl substances) and 38 untargeted features, positively associated with age. The directionality of these associations reversed for parity, decreasing with increasing births. Seven separate targeted analytes were associated with age at menarche.\n\nThis study demonstrates how a comprehensive chemical exposome approach can be used to inform future research prioritization regarding associations between known and unknown substances, reproduction, and breast cancer risk.\n\nThis study illustrates how chemical exposomics of long-term stored blood samples offers valuable insights to discover chemical exposures and their potential links to disease in humans, particularly those related to reproduction and breast cancer risk factors.", "doi": "10.1038/s41370-024-00736-0", "pmid": "39643621", "labels": {"Exposomics": "Collaborative"}, "xrefs": [{"db": "pii", "key": "10.1038/s41370-024-00736-0"}], "notes": [], "created": "2024-12-09T08:15:03.382Z", "modified": "2025-09-12T11:18:28.103Z"}, {"entity": "publication", "iuid": "02ca4d46df3c4e73b9e068dd236e5d2a", "links": {"self": {"href": "https://publications.scilifelab.se/publication/02ca4d46df3c4e73b9e068dd236e5d2a.json"}, "display": {"href": "https://publications.scilifelab.se/publication/02ca4d46df3c4e73b9e068dd236e5d2a"}}, "title": "Dietary patterns, untargeted metabolite profiles and their association with colorectal cancer risk.", "authors": [{"family": "Bod\u00e9n", "given": "Stina", "initials": "S", "orcid": "0000-0002-8958-975X", "researcher": {"href": "https://publications.scilifelab.se/researcher/8dcfadb86b8040499a7af3c4a744d3b2.json"}}, {"family": "Zheng", "given": "Rui", "initials": "R"}, {"family": "Ribbenstedt", "given": "Anton", "initials": "A"}, {"family": "Landberg", "given": "Rikard", "initials": "R"}, {"family": "Harlid", "given": "Sophia", "initials": "S", "orcid": "0000-0001-8540-6891", "researcher": {"href": "https://publications.scilifelab.se/researcher/76a824f2687b460890ae6d9ef40d97c9.json"}}, {"family": "Vidman", "given": "Linda", "initials": "L"}, {"family": "Gunter", "given": "Marc J", "initials": "MJ"}, {"family": "Winkvist", "given": "Anna", "initials": "A", "orcid": "0000-0001-9122-7240", "researcher": {"href": "https://publications.scilifelab.se/researcher/e34ca937891145e190390ae9418d2243.json"}}, {"family": "Johansson", "given": "Ingegerd", "initials": "I", "orcid": "0000-0002-9227-8434", "researcher": {"href": "https://publications.scilifelab.se/researcher/ee3e20587b664a42a880870f1648160a.json"}}, {"family": "Van Guelpen", "given": "Bethany", "initials": "B", "orcid": "0000-0002-9692-101X", "researcher": {"href": "https://publications.scilifelab.se/researcher/1ea901d796bc4f3fbc53f930c5021118.json"}}, {"family": "Brunius", "given": "Carl", "initials": "C"}], "type": "journal article", "published": "2024-01-26", "journal": {"title": "Sci Rep", "issn": "2045-2322", "volume": "14", "issue": "1", "pages": "2244", "issn-l": "2045-2322"}, "abstract": "We investigated data-driven and hypothesis-driven dietary patterns and their association to plasma metabolite profiles and subsequent colorectal cancer (CRC) risk in 680 CRC cases and individually matched controls. Dietary patterns were identified from combined exploratory/confirmatory factor analysis. We assessed association to LC-MS metabolic profiles by random forest regression and to CRC risk by multivariable conditional logistic regression. Principal component analysis was used on metabolite features selected to reflect dietary exposures. Component scores were associated to CRC risk and dietary exposures using partial Spearman correlation. We identified 12 data-driven dietary patterns, of which a breakfast food pattern showed an inverse association with CRC risk (OR per standard deviation increase 0.89, 95% CI 0.80-1.00, p = 0.04). This pattern was also inversely associated with risk of distal colon cancer (0.75, 0.61-0.96, p = 0.01) and was more pronounced in women (0.69, 0.49-0.96, p = 0.03). Associations between meat, fast-food, fruit soup/rice patterns and CRC risk were modified by tumor location in women. Alcohol as well as fruit and vegetables associated with metabolite profiles (Q2 0.22 and 0.26, respectively). One metabolite reflecting alcohol intake associated with increased CRC risk, whereas three metabolites reflecting fiber, wholegrain, and fruit and vegetables associated with decreased CRC risk.", "doi": "10.1038/s41598-023-50567-6", "pmid": "38278865", "labels": {"Bioinformatics Support for Computational Resources": "Service", "Chalmers Mass Spectrometry Infrastructure": "Collaborative"}, "xrefs": [{"db": "pmc", "key": "PMC10817924"}, {"db": "pii", "key": "10.1038/s41598-023-50567-6"}], "notes": [], "created": "2024-11-25T10:20:32.223Z", "modified": "2024-11-27T15:34:24.513Z"}, {"entity": "publication", "iuid": "9a40b8c256db4fabbdb1dfe9e40e2b2b", "links": {"self": {"href": "https://publications.scilifelab.se/publication/9a40b8c256db4fabbdb1dfe9e40e2b2b.json"}, "display": {"href": "https://publications.scilifelab.se/publication/9a40b8c256db4fabbdb1dfe9e40e2b2b"}}, "title": "Plasma Concentrations of Gut Hormones Acyl Ghrelin and Peptide YY and Subsequent Risk of Colorectal Cancer and Molecular Tumor Subtypes.", "authors": [{"family": "Bod\u00e9n", "given": "Stina", "initials": "S", "orcid": "0000-0002-8958-975X", "researcher": {"href": "https://publications.scilifelab.se/researcher/8dcfadb86b8040499a7af3c4a744d3b2.json"}}, {"family": "Harbs", "given": "Justin", "initials": "J", "orcid": "0000-0002-4759-2643", "researcher": {"href": "https://publications.scilifelab.se/researcher/5afd5b8938254681ae8dd16b6ff49ac1.json"}}, {"family": "Sundkvist", "given": "Anneli", "initials": "A", "orcid": "0000-0002-6679-6414", "researcher": {"href": "https://publications.scilifelab.se/researcher/a043b0185cb14f9d9691401e41f12c4d.json"}}, {"family": "Fuchs", "given": "Klara", "initials": "K", "orcid": "0000-0001-5957-4496", "researcher": {"href": "https://publications.scilifelab.se/researcher/d71d506a8d4c4da591952e7e062abbfd.json"}}, {"family": "Myte", "given": "Robin", "initials": "R", "orcid": "0000-0002-2974-2003", "researcher": {"href": "https://publications.scilifelab.se/researcher/33a835cc893c449184b7161b410e7186.json"}}, {"family": "Gylling", "given": "Bj\u00f6rn", "initials": "B", "orcid": "0000-0002-4688-8952", "researcher": {"href": "https://publications.scilifelab.se/researcher/e5b3380cfca6479a8e827c1c71671322.json"}}, {"family": "Zingmark", "given": "Carl", "initials": "C", "orcid": "0000-0002-8627-5739", "researcher": {"href": "https://publications.scilifelab.se/researcher/d029f1b655af4d809256959f6ed974e5.json"}}, {"family": "L\u00f6fgren Burstr\u00f6m", "given": "Anna", "initials": "A", "orcid": "0000-0003-4766-3250", "researcher": {"href": "https://publications.scilifelab.se/researcher/f19b2f7e55af4630bb43300ea5278dc1.json"}}, {"family": "Palmqvist", "given": "Richard", "initials": "R", "orcid": "0000-0002-9933-2843", "researcher": {"href": "https://publications.scilifelab.se/researcher/40ae823e5364458b8f957a65a82c741f.json"}}, {"family": "Harlid", "given": "Sophia", "initials": "S", "orcid": "0000-0001-8540-6891", "researcher": {"href": "https://publications.scilifelab.se/researcher/76a824f2687b460890ae6d9ef40d97c9.json"}}, {"family": "Van Guelpen", "given": "Bethany", "initials": "B", "orcid": "0000-0002-9692-101X", "researcher": {"href": "https://publications.scilifelab.se/researcher/1ea901d796bc4f3fbc53f930c5021118.json"}}], "type": "journal article", "published": "2023-02-06", "journal": {"title": "Cancer Prev Res (Phila)", "issn": "1940-6215", "volume": "16", "issue": "2", "pages": "75-87", "issn-l": null}, "abstract": "Obesity and metabolic dysfunction are implicated in colorectal cancer development. Appetite-regulating gut hormones might have a role in colorectal cancer risk. We investigated whether circulating levels of the gut hormones ghrelin (analyzed as acyl ghrelin) and Peptide YY (PYY) were associated with subsequent colorectal cancer risk, including clinical and molecular tumor subtypes. We also provide descriptive data on these hormones in relation to background participant characteristics and metabolic biomarkers. This population-based study included 1,010 matched case-control pairs with a median of 12.3 years of follow-up. Acyl ghrelin and PYY were measured by multiplex immunoassay. Data on KRAS and BRAF mutations and microsatellite instability (MSI) status were available for 704 and 708 cases, respectively. Conditional logistic regression models estimated association to colorectal cancer risk. Partial correlation and linear regression were used to investigate relationships between background and metabolic variables and variation in plasma gut hormone concentrations. Acyl ghrelin was not clearly associated with colorectal cancer risk (multivariable OR per 1 SD increase: 1.11; 95% CI, 1.00-1.23). Positive associations were observed for specific subtypes, in particular BRAF-mutated colorectal cancer and right-sided colon cancer, although with nonsignificant heterogeneity. PYY was not related to colorectal cancer risk (multivariable OR per 1 SD: 1.04; 95% CI, 0.95-1.14) or any tumor subtype. In the control participants, ghrelin was inversely correlated with BMI, and PYY was positively correlated with C-peptide and insulin levels. These findings provide limited support for a possible role for ghrelin in colorectal cancer development, primarily in specific anatomical and molecular tumor subtypes.\n\nThe findings of this study do not support a major role for the metabolic gut hormones ghrelin and PYY in colorectal cancer development but suggest the possibility of an involvement for ghrelin in specific tumor subtypes. Elucidating subtype-specific risk factors and mechanisms of carcinogenesis may have implications for precision prevention.", "doi": "10.1158/1940-6207.CAPR-22-0325", "pmid": "36367526", "labels": {"Clinical Genomics Ume\u00e5": "Collaborative", "Clinical Genomics": "Collaborative"}, "xrefs": [{"db": "pmc", "key": "PMC9900320"}, {"db": "pii", "key": "710514"}], "notes": [], "created": "2022-12-05T11:20:31.728Z", "modified": "2023-11-29T09:47:49.209Z"}]}