{"entity": "researcher", "timestamp": "2026-08-29T04:22:58.985Z", "family": "Li", "given": "Sheyu", "initials": "S", "orcid": "0000-0003-0060-0287", "affiliations": ["Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, People's Republic of China.", "Division of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee DD1 9SY, Scotland, UK."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/5dbca24cdca54d9299e3643ac2f75ae0.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/5dbca24cdca54d9299e3643ac2f75ae0"}}, "publications": [{"entity": "publication", "iuid": "059298fda51f4bf8a5085c44eb095429", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/059298fda51f4bf8a5085c44eb095429.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/059298fda51f4bf8a5085c44eb095429"}}, "title": "Circulating Tissue Factor-Positive Procoagulant Microparticles in Patients with Type 1 Diabetes.", "authors": [{"family": "Zhang", "given": "Chenghui", "initials": "C"}, {"family": "Ou", "given": "Qing", "initials": "Q"}, {"family": "Gu", "given": "Yan", "initials": "Y"}, {"family": "Cheng", "given": "Gaiping", "initials": "G"}, {"family": "Du", "given": "Rong", "initials": "R"}, {"family": "Yuan", "given": "Li", "initials": "L"}, {"family": "Cordiner", "given": "Ruth Lm", "initials": "RL"}, {"family": "Kang", "given": "Deying", "initials": "D", "orcid": "0000-0003-1488-7047", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/33ee2f3d75e240d18315c940bff0de71.json"}}, {"family": "Zhang", "given": "Jiaying", "initials": "J"}, {"family": "Huang", "given": "Qiaorong", "initials": "Q"}, {"family": "Yu", "given": "Chuan", "initials": "C"}, {"family": "Kang", "given": "Li", "initials": "L"}, {"family": "Wang", "given": "Xuan", "initials": "X"}, {"family": "Sun", "given": "Xin", "initials": "X"}, {"family": "Mo", "given": "Xianming", "initials": "X"}, {"family": "Tian", "given": "Haoming", "initials": "H", "orcid": "0000-0002-1921-4733", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/165291dbf8a0444398664529be84c43e.json"}}, {"family": "Pearson", "given": "Ewan R", "initials": "ER"}, {"family": "Meng", "given": "Wentong", "initials": "W"}, {"family": "Li", "given": "Sheyu", "initials": "S", "orcid": "0000-0003-0060-0287", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/5dbca24cdca54d9299e3643ac2f75ae0.json"}}], "type": "journal article", "published": "2019-12-31", "journal": {"title": "Diabetes Metab Syndr Obes", "issn": "1178-7007", "volume": "12", "pages": "2819-2828", "issn-l": null}, "abstract": "To investigate the count of circulating tissue factor-positive (TF+) procoagulant microparticles (MPs) in patients with type 1 diabetes mellitus (T1DM).\n\nThis case-control study included patients with T1DM and age and sex-matched healthy volunteers. The counts of phosphatidylserine-positive (PS+) MPs and TF+PS+MPs and the subgroups derived from different cell types were measured in the peripheral blood sample of the two groups using multicolor flow cytometric assay. We compared the counts of each MP between groups as well as the ratio of the TF+PS+MPs and PS+MPs (TF+PS+MPs/PS+MPs).\n\nWe recruited 36 patients with T1DM and 36 matched healthy controls. Compared with healthy volunteers, PS+MPs, TF+PS+MPs and TF+PS+MPs/PS+MPs were elevated in patients with T1DM (PS+MPs: 1078.5 \u00b1 158.08 vs 686.84 \u00b1 122.04/\u03bcL, P <0.001; TF+PS+MPs: 202.10 \u00b1 47.47 vs 108.33 \u00b1 29.42/\u03bcL, P <0.001; and TF+PS+MPs/PS+MPs: 0.16 \u00b1 0.04 vs 0.19 \u00b1 0.05, P = 0.004), mostly derived from platelet, lymphocytes and endothelial cells. In the subgroup analysis, the counts of total and platelet TF+PS+MPs were increased in patients with diabetic retinopathy (DR) and with higher HbA1c, respectively.\n\nCirculating TF+PS+MPs and those derived from platelet, lymphocytes and endothelial cells were elevated in patients with T1DM.", "doi": "10.2147/DMSO.S225761", "pmid": "32021345", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC6978680"}, {"db": "pii", "key": "225761"}], "notes": [], "created": "2026-08-21T12:55:24.062Z", "modified": "2026-08-21T12:55:24.196Z"}, {"entity": "publication", "iuid": "bf652aa11bba4a33b87b1cca9f959aab", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/bf652aa11bba4a33b87b1cca9f959aab.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/bf652aa11bba4a33b87b1cca9f959aab"}}, "title": "A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis.", "authors": [{"family": "Wu", "given": "Yuan", "initials": "Y", "orcid": "0000-0003-0952-6132", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7f131d68c48a4cfc99a9938b0316d4a0.json"}}, {"family": "Zhou", "given": "Yiling", "initials": "Y", "orcid": "0000-0001-6729-3627", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/ba51f299a8e5475bbabe442b61debcd7.json"}}, {"family": "Wang", "given": "Xuan", "initials": "X", "orcid": "0000-0002-6672-017X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/4ff425a1ecee4680932e8b626533e528.json"}}, {"family": "Zhang", "given": "Qi", "initials": "Q", "orcid": "0000-0001-6625-4060", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/7c3b93ebcb4a49daa8217dadbd507b46.json"}}, {"family": "Yao", "given": "Xun", "initials": "X", "orcid": "0000-0002-9413-3570", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/6289671be0f74716b0a5062face55eb8.json"}}, {"family": "Li", "given": "Xiaodan", "initials": "X", "orcid": "0000-0002-1231-060X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/88d9dd9c85f2463c9e09942b69f4e14d.json"}}, {"family": "Li", "given": "Jianshu", "initials": "J", "orcid": "0000-0002-1522-7326", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d1493c88b2504326bd243f6b2af826c0.json"}}, {"family": "Tian", "given": "Haoming", "initials": "H", "orcid": "0000-0002-1921-4733", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/165291dbf8a0444398664529be84c43e.json"}}, {"family": "Li", "given": "Sheyu", "initials": "S", "orcid": "0000-0003-0060-0287", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/5dbca24cdca54d9299e3643ac2f75ae0.json"}}], "type": "journal article", "published": "2019-08-28", "journal": {"title": "JMIR Mhealth Uhealth", "issn": "2291-5222", "volume": "7", "issue": "8", "pages": "e13971", "issn-l": null}, "abstract": "Mobile health interventions are widely used for self-management of diabetes, which is one of the most burdensome noncommunicable chronic diseases worldwide. However, little is known about the distribution of characteristics and functions of in-store mobile apps for diabetes.\n\nThis study aimed to investigate the distribution of characteristics and functions of the in-store mobile apps for self-management of diabetes in the United States and China using a predefined functional taxonomy, which was developed and published in our previous study.\n\nWe identified apps by searching diabetes in English or Chinese in the Apple iTunes Store and Android Markets (both in the United States and China) and included apps for diabetes self-management. We examined the validity and reliability of the predefined functional taxonomy with 3 dimensions: clinical module, functional module, and potential risk. We then classified all functions in the included apps according to the predefined taxonomy and compared the differences in the features of these apps between the United States and China.\n\nWe included 171 mobile diabetes apps, with 133 from the United States and 38 from China. Apps from both countries faced the challenges of evidence-based information, proper risk assessment, and declaration, especially Chinese apps. More Chinese apps provide app-based communication functions (general communication: Chinese vs US apps, 39%, 15/38 vs 18.0%, 24/133; P=.006 and patient-clinician communication: Chinese vs US apps, 68%, 26/38 vs 6.0%, 8/133; P<.001), whereas more US apps provide the decision-making module (Chinese vs US apps, 0%, 0/38 vs 23.3%, 31/133; P=.001), which is a high-risk module. Both complication prevention (Chinese vs US apps, 8%, 3/38 vs 3.8%, 5/133; P=.50) and psychological care (Chinese vs US apps, 0%, 0/38 vs 0.8%, 1/133; P>.99) are neglected by the 2 countries.\n\nThe distribution of characteristics and functions of in-store mobile apps for diabetes self-management in the United States was different from China. The design of in-store diabetes apps needs to be monitored closely.", "doi": "10.2196/13971", "pmid": "31464191", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC6737884"}, {"db": "pii", "key": "v7i8e13971"}], "notes": [], "created": "2026-08-21T12:55:42.853Z", "modified": "2026-08-21T12:55:43.147Z"}]}