{"doi":"10.3390/ijms251810134","title":"Interferon-Gamma-Inducible Protein-10 (IP-10) and Tumor Necrosis Factor-α (TNF-α) as Serological Predictors of Active Disease Status in Localized Scleroderma","abstract":"We investigated the ability of a panel of immune-related cytokines and chemokines to predict the disease activity state in localized scleroderma (LS) subjects followed longitudinally. A total of 194 sera samples were obtained from 45 LS subjects with diverse types of LS (40% linear, 20% mixed, 16% craniofacial, 13% generalized, and 11% circumscribed) in our cohort. Cytokines/chemokines that were significantly elevated at the baseline active disease visit compared to the inactive disease state at follow-up were Interferon-Gamma-Inducible Protein (IP)-10 (p &lt; 0.021) and Tumor Necrosis Factor (TNF)-α (p &lt; 0.033). Mixed effect logit modeling identified IP-10 (Odds Ratio (OR) [95% confidence interval] = 2.1 [1.4, 3.2], p &lt; 0.001), TNF-α (OR = 1.8 [1.1, 3.0], p = 0.016), and Monocyte Chemoattractant Protein (MCP)-1 (OR = 2.0 [1.1, 3.9], p = 0.034) as significant predictors of active disease status. These findings support earlier correlations between IP-10 and TNF-α with disease activity parameters in a cross-sectional Luminex™ serological study and may enhance clinical decision-making when disease activity is challenging to assess by clinical examination alone.","journal":"International Journal of Molecular Sciences","year":2024,"id":481541,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.959,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":658998,"name":"Christina K. Zigler","orcid":"0000-0002-8996-7757","position":1,"is_corresponding":false},{"id":385881,"name":"Jonathan G. Yabes","orcid":"0000-0002-9406-2362","position":2,"is_corresponding":false},{"id":984317,"name":"Kelsey Magee","orcid":"0000-0003-4220-3984","position":3,"is_corresponding":false},{"id":1321963,"name":"Katherine L. Kurzinski","orcid":null,"position":4,"is_corresponding":false},{"id":413262,"name":"Kathryn S. Torok","orcid":"0000-0002-1662-143X","position":5,"is_corresponding":false},{"id":1321962,"name":"Brittany Ashe","orcid":null,"position":0,"is_corresponding":true}],"reference_count":47,"raw_metadata":null,"created_at":"2026-07-19T02:07:10.067421Z","pmid":"39337619","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":[]}