| http://purl.uniprot.org/citations/31748429 | http://www.w3.org/1999/02/22-rdf-syntax-ns#type | http://purl.uniprot.org/core/Journal_Citation |
| http://purl.uniprot.org/citations/31748429 | http://www.w3.org/2000/01/rdf-schema#comment | "Polycystic ovary syndrome (PCOS) diagnosis combines various clinical phenotypes. The definition of PCOS is still controversial because insulin resistance (IR) and dysmetabolism do not constitute PCOS diagnostic criteria. We analyzed whether a circulating biomarker zinc-α2-glycoprotein (ZAG) related to IR and metabolic dysfunction can predict PCOS phenotypes. We then recruited 100 PCOS patients and 99 healthy women as the control group to assess the relationship between ZAG and metabolic characteristics. The euglycemic-hyperinsulinemic clamp helped assess insulin sensitivity, and the enzyme immunometric assay was deployed for ZAG levels. Our PCOS cohort presented sixty-nine patients with hyperandrogenism, eighty-six patients with chronic oligoanovulation, and eighty-one patients with polycystic ovaries by ultrasonographic evaluation. Additionally, the circulating ZAG levels were considerably reduced in all PCOS patients compared with healthy women (p < 0.05 or p < 0.01). Additionally, sixty-nine PCOS patients had IR, and circulating ZAG levels were also different among the phenotypes. Furthermore, the normoandrogenic type specifically exhibited the highest circulating ZAG levels among all PCOS phenotypes (p < 0.05 or p < 0.01). Additionally, normoandrogenic phenotype patients had reduced HOMA-IR scores and greater M-values than those in the classic phenotypes (p < 0.05). The circulating ZAG levels, however, were not associated with oligoanovulation but were correlated with hyperandrogenism and PCO morphology. In summary, circulating ZAG levels serve as suitable PCOS phenotype biomarkers, aiding physicians to identify women who merit screening."xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://purl.org/dc/terms/identifier | "doi:10.1507/endocrj.ej18-0506"xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://purl.uniprot.org/core/author | "Li X."xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://purl.uniprot.org/core/author | "Wang Y."xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://purl.uniprot.org/core/author | "Tang C."xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://purl.uniprot.org/core/author | "Tang S."xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://purl.uniprot.org/core/author | "Tan X."xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://purl.uniprot.org/core/date | "2020"xsd:gYear |
| http://purl.uniprot.org/citations/31748429 | http://purl.uniprot.org/core/name | "Endocr J"xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://purl.uniprot.org/core/pages | "249-255"xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://purl.uniprot.org/core/title | "Association between circulating zinc-alpha2-glycoprotein levels and the different phenotypes of polycystic ovary syndrome."xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://purl.uniprot.org/core/volume | "67"xsd:string |
| http://purl.uniprot.org/citations/31748429 | http://www.w3.org/2004/02/skos/core#exactMatch | http://purl.uniprot.org/pubmed/31748429 |
| http://purl.uniprot.org/citations/31748429 | http://xmlns.com/foaf/0.1/primaryTopicOf | https://pubmed.ncbi.nlm.nih.gov/31748429 |
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| http://purl.uniprot.org/uniprot/#_P25311-mappedCitation-31748429 | http://www.w3.org/1999/02/22-rdf-syntax-ns#object | http://purl.uniprot.org/citations/31748429 |
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| http://purl.uniprot.org/uniprot/P25311 | http://purl.uniprot.org/core/mappedCitation | http://purl.uniprot.org/citations/31748429 |
| http://purl.uniprot.org/uniprot/A0JLQ0 | http://purl.uniprot.org/core/mappedCitation | http://purl.uniprot.org/citations/31748429 |