{"entity": "researcher", "timestamp": "2026-08-07T19:10:09.732Z", "family": "Bao", "given": "Xue", "initials": "X", "orcid": "0000-0001-6127-3924", "affiliations": ["1Department of Cardiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.", "2Department of Clinical Sciences, Lund University, CRC 60:13, Jan Waldenstr\u00f6ms gata 35, 20502 Malm\u00f6, Sweden.", "3Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China."], "links": {"self": {"href": "https://publications.scilifelab.se/researcher/9f1451d87a2646049e7c73d0d282b963.json"}, "display": {"href": "https://publications.scilifelab.se/researcher/9f1451d87a2646049e7c73d0d282b963"}}, "publications": [{"entity": "publication", "iuid": "ad190e39e2eb48bdb7dfed9ea388aefa", "links": {"self": {"href": "https://publications.scilifelab.se/publication/ad190e39e2eb48bdb7dfed9ea388aefa.json"}, "display": {"href": "https://publications.scilifelab.se/publication/ad190e39e2eb48bdb7dfed9ea388aefa"}}, "title": "The associations of self-rated health with cardiovascular risk proteins: a proteomics approach.", "authors": [{"family": "Bao", "given": "Xue", "initials": "X", "orcid": "0000-0001-6127-3924", "researcher": {"href": "https://publications.scilifelab.se/researcher/9f1451d87a2646049e7c73d0d282b963.json"}}, {"family": "Born\u00e9", "given": "Yan", "initials": "Y"}, {"family": "Yin", "given": "Songjiang", "initials": "S"}, {"family": "Niu", "given": "Kaijun", "initials": "K"}, {"family": "Orho-Melander", "given": "Marju", "initials": "M"}, {"family": "Nilsson", "given": "Jan", "initials": "J"}, {"family": "Melander", "given": "Olle", "initials": "O"}, {"family": "Engstr\u00f6m", "given": "Gunnar", "initials": "G"}], "type": "journal article", "published": "2019-11-18", "journal": {"title": "Clin Proteomics", "issn": "1542-6416", "issn-l": null, "volume": "16", "issue": "1", "pages": "40"}, "abstract": "Though subjective, poor self-rated health (SRH) has consistently been shown to predict cardiovascular disease (CVD). The underlying mechanism is unclear. This study evaluates the associations of SRH with biomarkers for CVD, aiming to explore potential pathways between poor SRH and CVD.\n\nBased on the Malm\u00f6 Diet and Cancer Cardiovascular Cohort study, a targeted proteomics approach was used to assess the associations of SRH with 88 cardiovascular risk proteins, measured in plasma from 4521 participants without CVD. The false discovery rate (FDR) was controlled using the Benjamini and Hochberg method. Covariates taken into consideration were age, sex, traditional CVD risk factors (low-density lipoprotein cholesterol, systolic blood pressure, anti-hypertensive medication, diabetes, body mass index, smoking), comorbidity, life-style and psycho-social factors (education level, living alone, alcohol consumption, low physical activity, psychiatric medication, sleep duration, and unemployment).\n\nAge and sex-adjusted associations with SRH was found for 34 plasma proteins. Nine of them remained significant after adjustments for traditional CVD risk factors. After further adjustment for comorbidity, life-style and psycho-social factors, only leptin (\u03b2 = - 0.035, corrected p = 0.016) and C-C motif chemokine 20 (CCL20; \u03b2 = - 0.054, corrected p = 0.016) were significantly associated with SRH.\n\nPoor SRH was associated with raised concentrations of many plasma proteins. However, the relationships were largely attenuated by adjustments for CVD risk factors, comorbidity and psycho-social factors. Leptin and CCL20 were associated with poor SRH in the present study and could potentially be involved in the SRH-CVD link.", "doi": "10.1186/s12014-019-9258-9", "pmid": "31832026", "labels": {"Clinical Biomarkers": "Service", "PLA and Single Cell Proteomics": "Service", "Affinity Proteomics Uppsala": "Service"}, "xrefs": [{"db": "pii", "key": "9258"}, {"db": "pmc", "key": "PMC6859604"}], "notes": [], "created": "2020-01-23T16:04:34.229Z", "modified": "2023-04-14T13:55:53.995Z"}, {"entity": "publication", "iuid": "249089d114f94775a9e28bd46bfc91c0", "links": {"self": {"href": "https://publications.scilifelab.se/publication/249089d114f94775a9e28bd46bfc91c0.json"}, "display": {"href": "https://publications.scilifelab.se/publication/249089d114f94775a9e28bd46bfc91c0"}}, "title": "Circulating HER2/ErbB2 Levels Are Associated With Increased Incidence of Diabetes: A Population-Based Cohort Study.", "authors": [{"family": "Muhammad", "given": "Iram Faqir", "initials": "IF", "orcid": "0000-0002-4026-3302", "researcher": {"href": "https://publications.scilifelab.se/researcher/eb56cd5ba9664baeb8eb5a554a0200df.json"}}, {"family": "Born\u00e9", "given": "Yan", "initials": "Y", "orcid": "0000-0002-5000-2237", "researcher": {"href": "https://publications.scilifelab.se/researcher/33ec7e45da8640e48a192e9ae2b070db.json"}}, {"family": "Bao", "given": "Xue", "initials": "X", "orcid": "0000-0001-6127-3924", "researcher": {"href": "https://publications.scilifelab.se/researcher/9f1451d87a2646049e7c73d0d282b963.json"}}, {"family": "Melander", "given": "Olle", "initials": "O"}, {"family": "Orho-Melander", "given": "Marju", "initials": "M"}, {"family": "Nilsson", "given": "Peter M", "initials": "PM", "orcid": "0000-0002-5652-8459", "researcher": {"href": "https://publications.scilifelab.se/researcher/f23c2a10ac2a4d73a8f62b94855635f1.json"}}, {"family": "Nilsson", "given": "Jan", "initials": "J", "orcid": "0000-0002-9752-7479", "researcher": {"href": "https://publications.scilifelab.se/researcher/8777140448bc47f0a7984db3c15c0e23.json"}}, {"family": "Engstr\u00f6m", "given": "Gunnar", "initials": "G"}], "type": "journal article", "published": "2019-08-00", "journal": {"title": "Diabetes Care", "issn": "1935-5548", "issn-l": "0149-5992", "volume": "42", "issue": "8", "pages": "1582-1588"}, "abstract": "HER2/ErbB2 is a member of the epidermal growth factor receptor family. It is widely used as a tumor marker, but it also has recently been associated with insulin resistance. Both ErbB2 and diabetes have been associated with cancer; however, the relationship between ErbB2 and diabetes has not been well explored. The aim of this population-based cohort study was to assess the association between plasma ErbB2 and incidence of diabetes.\n\nThe study population included participants from the Malm\u00f6 Diet and Cancer-Cardiovascular Cohort (age range 46-68 years). After excluding participants with a history of diabetes and those missing data for ErbB2 and other covariates, the final study population consisted of 4,220 individuals. Incidence of diabetes was followed through linkages to local and national registers. Cox proportional hazards regression was used to assess the incidence of diabetes in relation to quartiles of ErbB2, adjusted for potential confounders.\n\nPlasma ErbB2 was significantly and positively associated with glucose, insulin, and HbA1c after being adjusted for potential confounding factors. During a mean \u00b1 SD follow-up period of 20.20 \u00b1 5.90 years, 615 participants (14.6%) were diagnosed with new-onset diabetes. Individuals with high levels of ErbB2 had a significantly higher risk of diabetes than those with low levels of ErbB2. The multivariable-adjusted hazard ratio was 1.31 (95% CI 1.03-1.66; P < 0.05) for the highest versus the lowest quartile of ErbB2 and was 1.15 (95% CI 1.05-1.25; P < 0.05) per 1-SD increase in ErbB2.\n\nElevated levels of ErbB2 are associated with increased incidence of diabetes.", "doi": "10.2337/dc18-2556", "pmid": "31201260", "labels": {"Clinical Biomarkers": "Service", "PLA and Single Cell Proteomics": "Service", "Affinity Proteomics Uppsala": "Service"}, "xrefs": [{"db": "pii", "key": "dc18-2556"}], "notes": [], "created": "2020-01-23T16:04:51.482Z", "modified": "2023-04-14T13:55:56.646Z"}]}