Ask about this productRelated genes to: Itih1 Blocking Peptide
- Gene:
- ITIH1 NIH gene
- Name:
- inter-alpha-trypsin inhibitor heavy chain 1
- Previous symbol:
- -
- Synonyms:
- H1P, IATIH, ITIH
- Chromosome:
- 3p21.1
- Locus Type:
- gene with protein product
- Date approved:
- 1989-05-10
- Date modifiied:
- 2014-11-19
Related products to: Itih1 Blocking Peptide
Related articles to: Itih1 Blocking Peptide
- One of the biggest challenges in plasma proteomics is to reduce the dynamic range of plasma proteins to capture the expression of low-abundance proteins. Although abundant protein depletion and proximity extension assay are widely used for human samples, the application to animal species in non-clinical assessment remains limited. Here, we evaluated the Mag-Net and ENRICH-iST methods using 20 μl of plasma from both healthy and type 2 diabetes model rats. By combining with the optimized LC-MS method, Mag-Net identified more proteins than ENRICH-iST with high precision, although both methods identified over 5000 proteins. Using integrative proteomics and analytical approaches, including extracellular vesicle (EV) database comparison, Gene Ontology analysis, Simple Western, nanoparticle tracking analysis, and contamination assessments, we demonstrated in rat plasma that Mag-Net preferentially enriches EV proteins, whereas ENRICH-iST more evenly captures low-abundance proteins, including EV proteins. Regardless of the protein enrichment method employed, more than half of the tissue-specific proteins were classified as being specific to either the liver or the brain tissues. Whereas, several liver-specific proteins involved in protein-protein interactions, including Proz/Serpina10 and Ambp/Itih1/Itih2, were identified as exhibiting over a ten-fold increase in mean quantification values in the Mag-Net method compared to ENRICH-iST, suggesting enhanced enrichment of protein-protein interaction network. Ingenuity Pathway Analysis identified 219 downregulated and 80 upregulated proteins in the Mag-Net method dataset (fold change ≥ 1.5, p ≤ 0.05), and 68 downregulated and 43 upregulated proteins in the ENRICH-iST method dataset (fold change ≥ 1.5, p ≤ 0.2). Some significantly downregulated pathways, such as elastic fiber formation, were uniquely identified by the Mag-Net method. This approach was shown to be a powerful tool for investigating deregulated proteins and pathways. Potential applications include biomarker discovery and the assessment of drug efficacy and safety during development. - Source: PubMed
Publication date: 2026/05/20
Takahashi RyoProdinger FlorianMatsui Akiko - Clear cell renal carcinoma (ccRCC) is the most frequent form of kidney tumors with high recurrence and progression rates. Early diagnosis of ccRCC could significantly improve survival rate. Liquid biopsies could capture molecular information which would not only shed more light on the signatures of the onset of ccRCC, but also discover potential biomarker for early diagnosis. - Source: PubMed
Publication date: 2026/05/05
Liu XiaoyanZhang MingxinZhao YiDai YutingHan ChongxuChen JingSun HaidanGuo ZhengguangQi FengZhang YuxueZhang YushiNiu HaitaoSun Wei - Despite advances in colorectal cancer (CC) management, stage-III disease lacks robust, clinically applicable prognostic biomarkers. Proteomic profiling provides a quantitative, tissue-based approach to improve recurrence risk stratification. - Source: PubMed
Publication date: 2026/04/09
Aref Adel TPathan MohashinHabib RosemaryHains Peter GLim Stephanie Hui-SuAnees AsimMa LiHeads JudithWang DongweiLoudon ClareMcLeod DuncanCaixeiro NicoleNoor ZainabCraft George EBucio-Noble DanielKoh Jennifer MRobinson Phillip JZhong QingGowrishankar KavithaMicklethwaite KennethMoustou EleniDatseri GalateiaBalleine Rosemary LLee C SoonSouglakos JohnNagrial AdnanReddel Roger R - Sarcopenia is an age-related condition characterized by progressive muscle mass, strength and physical performance declines, contributing to frailty and adverse health outcomes. Despite increasing interest in molecular biomarkers, longitudinal data with external validation are limited. - Source: PubMed
Kong Sung HyeJeon Ok HeeKim Ji YeonKim MijiKim JinheePark Seung ShinChang Hak ChulWon Chang WonHan Dohyun - Tuberculosis (TB) remains a major global health challenge. In this study, we applied UPLC-MS/MS lipidomics and data-independent acquisition proteomics to profile plasma from healthy controls, active TB patients, and cured individuals to identify differentially expressed lipids and proteins. Mendelian randomization prioritized phosphatidylcholine (PC) lipids (PC(18:2/18:2), PC(14:0/20:4) and PC(18:0/20:4)) and proteins (haptoglobin [HP], retinol binding protein 4 [RBP4], coagulation factor XIII B subunit [F13B] and inter-alpha-trypsin inhibitor heavy chain 1 [ITIH1]) as candidate diagnostic and cure biomarkers. Binary multi-omics random-forest classifiers constructed with these markers achieved strong diagnostic (AUC = 0.967, 95% CI: 0.928-1.000) and cure-monitoring (AUC = 0.981, 95% CI: 0.956-1.000) performance, which was further assessed with ten-fold cross-validation. Integration with transcriptomic data and lipid-related gene analysis provided additional molecular support for HP. Independent validation in the GSE34608 cohort (AUC = 0.965) and ELISA verification (AUC = 0.969) confirmed HP's diagnostic utility at gene and protein levels. GSVA enrichment implicated HP in iron homeostasis and immune response pathways, suggesting a role in infection and immune evasion through modulation of host iron metabolism. Overall, we present a robust lipid-protein biomarker panel and accurate multi-omics models for TB diagnosis and monitoring of cure, and propose HP as a promising biomarker and potential therapeutic target. These tools may improve clinical management and treatment evaluation. - Source: PubMed
Publication date: 2025/12/29
Zhu ChenglinChen JiaxiLi YingZhang QiLu QiqiZhang NingxuanFan HaoKhakwani Muhammad Mahtab Aslam KhanZhang LeiLi Ji-Cheng