<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE301nnn/GSE301736/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Methylation profiling</omics_type><species>Homo sapiens</species><gds_type>Methylation profiling by genome tiling array</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE301736</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Circulating Epigenetic Signatures Classifying Brain Insulin Resistance in humans [2]</name><description>Brain insulin action plays an important role in metabolic and cognitive health but so far, there is no biomarker available to assess brain insulin resistance in humans. Here, we developed a machine learning framework based on blood DNA methylation profiles of participants who did not have Type 2 Diabetes with and without brain insulin resistance and detailed metabolic phenotyping.</description><dates><publication>2026/04/08</publication></dates><accession>GSE301736</accession><cross_references><GSM>GSM9088419</GSM><GSM>GSM9088437</GSM><GSM>GSM9088426</GSM><GSM>GSM9088427</GSM><GSM>GSM9088438</GSM><GSM>GSM9088439</GSM><GSM>GSM9088428</GSM><GSM>GSM9088429</GSM><GSM>GSM9088418</GSM><GSM>GSM9088433</GSM><GSM>GSM9088422</GSM><GSM>GSM9088434</GSM><GSM>GSM9088423</GSM><GSM>GSM9088435</GSM><GSM>GSM9088424</GSM><GSM>GSM9088436</GSM><GSM>GSM9088425</GSM><GSM>GSM9088440</GSM><GSM>GSM9088430</GSM><GSM>GSM9088441</GSM><GSM>GSM9088420</GSM><GSM>GSM9088431</GSM><GSM>GSM9088432</GSM><GSM>GSM9088421</GSM><GPL>33022</GPL><GSE>301736</GSE><taxon>Homo sapiens</taxon><PMID>[40768600]</PMID></cross_references></HashMap>