SERPINA3 antibody
- Known as:
- SERPINA3 (anti-)
- Catalog number:
- orb87240
- Product Quantity:
- 50 ug
- Category:
- -
- Supplier:
- Biorb
- Gene target:
- SERPINA3 antibody
Related genes to: SERPINA3 antibody
- Gene:
- SERPINA3 NIH gene
- Name:
- serpin family A member 3
- Previous symbol:
- AACT
- Synonyms:
- ACT
- Chromosome:
- 14q32.13
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2016-10-04
Related products to: SERPINA3 antibody
Related articles to: SERPINA3 antibody
- Pancreatic ductal adenocarcinoma (PDAC) is frequently preceded by new-onset diabetes mellitus (NODM), yet differentiating PDAC-associated DM from type 2 diabetes (T2D) remains clinically challenging. We investigated whether plasma proteomic profiling combined with machine learning could discriminate these conditions. Plasma samples from individuals with PDAC (with and without DM), long-standing T2D, and controls were analyzed by MALDI-TOF mass spectrometry. Spectral features were processed through a nested cross-validation framework to prevent data leakage, and model interpretability was explored using SHAP values. In parallel, low-molecular-weight proteins were characterized by GeLC-MS followed by LC-MS/MS and differential abundance analysis. Machine learning models distinguished PDAC-associated DM from T2D with a balanced accuracy of 85%. Proteomic analyses identified distinct signatures in PDAC- associated DM, including downregulation of erythrocyte-related proteins and PPBP, and upregulation of acute-phase reactants such as FGA, CP, and SERPINA3. Treatment-naïve cases displayed increased circulating epithelial and keratin-associated proteins, which were attenuated after therapy, suggesting dynamic tumor-related remodeling. These findings demonstrate that integrating MALDI-TOF profiling with machine learning can capture plasma signatures associated with PDAC-associated DM. Although exploratory, this approach supports further validation in prospective cohorts aimed at improving PDAC risk stratification among individuals with NODM. SIGNIFICANCE: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy with a dismal 5-year survival rate, primarily due to late-stage diagnosis. The frequent occurrence of new-onset diabetes mellitus (NODM) as a paraneoplastic syndrome offers a critical window for early detection. However, the clinical challenge of distinguishing PDAC-associated diabetes (PDAC-DM) from type 2 diabetes mellitus (T2D) has hindered the implementation of effective screening strategies. This study addresses this significant clinical problem by leveraging a multi-faceted proteomics approach. We demonstrate that the integration of MALDI-TOF mass spectrometry peptide profiling with machine learning algorithms can accurately discriminate PDAC-DM from T2D with 85% accuracy. Furthermore, we used LC-MS/MS to identify specific low molecular weight proteins that are differentially regulated between these conditions, providing a molecular basis for the observed discrimination. Our work is significant as it presents a novel, high-throughput pipeline for biomarker discovery that combines the scalability of MALDI-TOF with the analytical power of LC-MS/MS and machine learning. The identified plasma signatures hold strong translational potential to improve risk stratification in patients with new-onset diabetes, ultimately enabling earlier diagnosis of PDAC and improving patient survival prospects. This research directly contributes to the field of clinical proteomics by providing a robust methodological framework and candidate biomarkers for the early detection of one of oncology's most challenging diseases. - Source: PubMed
Publication date: 2026/04/30
Lazari Lucas CardosoDonnarumma Carlos Del CistiaMatheus Luiz Henrique GomesD'Alpino Peixoto Renatade Matos Mozânia ReisValerio Hellen PaulaRosa-Fernandes LiviaOba-Shinjo Sueli MMachado Marcel Cerqueira CésarMachado Marcel Autran CesarMarie Suely K NCorrea-Giannella Maria LuciaPalmisano Giuseppe - Polycystic ovary syndrome (PCOS) remains difficult to diagnose reliably, especially when clinical decisions rely heavily on ovarian morphology, which is often mis-interpreted. To address the need for more objective molecular indicators, we validated four serum proteins highlighted in earlier nLC-MS/MS based proteomic work, namely; Fibrinogen, S100A9, SERPINA3 and SERPINA6. The objective was to analyse differential expression of these proteins and evaluate the diagnostic performance by using ROC curves. - Source: PubMed
Publication date: 2026/04/23
Fatima SabeenKori Junaid AhmedVankwani SomaMirza Munazza RazaRehman Rehana - The search for new biomarkers that allow an early diagnosis in sepsis has become a necessity in medicine. This study aims to identify protein biomarkers that differentiate sepsis from non-infectious systemic inflammatory response syndrome (NISIRS), addressing the need for early sepsis diagnosis. - Source: PubMed
Publication date: 2026/04/24
Ruiz-Sanmartín AdolfoRibas VicentSuñol DavidChiscano-Camón LuisMartín LauraBajaña IvánBastida JulianaLarrosa NievesGonzález Juan JoséCarrasco María DoloresCanela NúriaFerrer RicardRuiz-Rodríguez Juan Carlos - Chronic lung allograft dysfunction significantly limits survival after lung transplantation. The obstructive phenotype bronchiolitis obliterans syndrome (BOS) is characterized by the abnormal activation of airways epithelium, fibrotic changes with excessive extracellular matrix deposition, and airway obliteration. Mast cells, through mediators such as tryptase and chymase, play a role in lung fibrosis. The proteins osteoprotegerin (OPG) and SERPIN family member A 3 (SERPINA3) have been associated with lung fibrosis progression. Tryptase-mast cells can produce OPG, while chymase interacts with SERPINA3. This study aimed to investigate if and how SERPINA3, OPG, and tryptase/chymase-positive mast cells are related to fibrotic airway obliteration and potentially show an association with BOS severity. Serum SERPINA3 levels in BOS and non-BOS were examined using ELISA. In BOS lung tissue, non-cartilaginous airways were classified into normal, partially obstructed, and completely obstructed airways. Immunohistochemistry detected SERPINA3, OPG, chymase, and tryptase. Colocalization of and interactions between SERPINA3, OPG, and tryptase were assessed by immunofluorescence, proximity ligation assay, and AlphaFold modeling. SERPINA3 serum levels in BOS patients were higher compared to non-BOS patients. A low percentage of SERPINA3 and OPG was detected in partially and completely obstructed airways. Cells positive for OPG and SERPINA3 colocalized with tryptase-mast cells in airways. OPG colocalized with SERPINA3, and they positively correlated in partially obstructed airways. In completely obstructed airways, OPG, SERPINA3, and tryptase all positively correlated with each other. These findings suggest mast cells express SERPINA3 and OPG, and these proteins potentially form a complex in lung tissue, possibly contributing to airway remodeling in BOS. - Source: PubMed
Liu Yanzhevan der Ploeg Eline ABorghuis TheoMenz R IanTimens WimVonk Judith MMelgert Barbro NGan C TjiBurgess Janette K - In acute lung injury (ALI), clinical data show that while mortality rates are similar between sexes, women require shorter ventilation times and intensive care unit stays than men, yet preclinical studies show conflicting sex-specific vulnerabilities. We reasoned that a hidden dosing bias may explain the inconsistency, as intratracheal bleomycin is scaled to body weight, even though lung mass grows more slowly than total body mass, so age-matched males, whose body mass outpaces lung growth, inevitably receive more drug per gram of lung than females. - Source: PubMed
Publication date: 2026/03/12
Gillman SamuelNgu AliceLush MichaelKarpuk NikolayHu Kevin MLisco Steven JWang Han-Jun