{"doi":"10.1016/j.dib.2022.108591","title":"Tandem mass tag proteomic and untargeted metabolomic profiling reveals altered serum and CSF biochemical datasets in iron deficient monkeys","abstract":"The effects of early-life iron deficiency anemia (IDA) extend past the blood and include both short- and long-term adverse effects on many tissues including the brain. Prior to IDA, iron deficiency (ID) can cause similar tissue effects, but a sensitive biomarker of iron-dependent brain health is lacking. To determine serum and CSF biomarkers of ID-induced metabolic dysfunction we performed proteomic and metabolomic analysis of serum and CSF at 4- and 6- months from a nonhuman primate model of infantile IDA. LC/MS/MS analyses identified a total of 227 metabolites and 205 proteins in serum. In CSF, we measured 210 metabolites and 1,560 proteins. Data were either processed from a Q-Exactive (Thermo Scientific, Waltham, MA) through Progenesis QI with accurate mass and retention time comparisons to a proprietary small molecule database and Metlin or with raw files imported directly from a Fusion Orbitrap (Thermo Scientific, Waltham, MA) through Sequest in Proteome Discoverer 2.4.0.305 (Thermo Scientific, Waltham, MA) with peptide matches through the latest Rhesus Macaque HMDB database. Metabolite and protein identifiers, p-values, and q-values were utilized for molecular pathway analysis with Ingenuity Pathways Analysis (IPA). We applied multiway distance weighted discrimination (DWD) to identify a weighted sum of the features (proteins or metabolites) that distinguish ID from IS at 4-months (pre-anemic period) and 6-months of age (anemic).","journal":"Data in Brief","year":2022,"id":298042,"datarank":0.31191623125197543,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"self_citation_contribution":0.31191623125197543,"citation_network_contribution":0.0,"self_endowment_contribution":0.31191623125197543,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9512,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":14821,"name":"Jonathan Kim","orcid":"0000-0003-2594-3251","position":1,"is_corresponding":false},{"id":364639,"name":"Gabriele R. Lubach","orcid":"0000-0003-3430-6940","position":2,"is_corresponding":false},{"id":364640,"name":"Eric F. Lock","orcid":"0000-0003-4663-2356","position":3,"is_corresponding":false},{"id":296491,"name":"Candace Guerrero","orcid":null,"position":4,"is_corresponding":false},{"id":296490,"name":"LeeAnn Higgins","orcid":null,"position":5,"is_corresponding":false},{"id":294204,"name":"Todd W. Markowski","orcid":"0000-0001-9157-2036","position":6,"is_corresponding":false},{"id":364641,"name":"Pamela J. Kling","orcid":"0000-0002-6098-2646","position":7,"is_corresponding":false},{"id":225655,"name":"Michael Georgieff","orcid":"0000-0003-0844-6907","position":8,"is_corresponding":false},{"id":364642,"name":"Christopher L. Coe","orcid":"0000-0001-9335-9060","position":9,"is_corresponding":false},{"id":267889,"name":"Raghavendra Rao","orcid":"0000-0002-6089-5972","position":10,"is_corresponding":false},{"id":364638,"name":"Brian J. Sandri","orcid":"0000-0003-4935-6502","position":0,"is_corresponding":true}],"reference_count":18,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T00:31:31.270564Z","pmid":"36164307","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}