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At least 19 recordsLinked to original sources

Context-dependent roles of DHX9 in Cancer: Molecular mechanisms, biomarker potential, and therapeutic perspectives.

DExH-box helicase 9 (DHX9) is a multifunctional nucleic acid helicase that participates in R-loop homeostasis, genome maintenance, RNA metabolism, and innate immune signaling. Accumulating evidence has linked aberrant DHX9 expression or activity to tumorigenesis, tumor progression, treatment response, and patient prognosis. However, its role in cancer is highly context-dependent, rather than uniformly oncogenic or tumor suppressive. Depending on its molecular partners, subcellular localization, post-translational modifications, tumor genotype, and immune microenvironment, DHX9 may either promote malignant phenotypes or contribute to tumor-restraining processes. In this review, we summarize the molecular characteristics and regulatory properties of DHX9, discuss its roles in genome stability, transcriptional and post-transcriptional control, circular RNA (circRNA) biogenesis, and tumor-immune crosstalk, and evaluate its emerging value as a potential biomarker and therapeutic target. We also highlight key challenges in this field, including mechanistic heterogeneity, insufficient translational validation, and the urgent need for context-informed patient stratification to maximize the clinical utility of DHX9-targeted strategies.

Humans↗

Identification of potential biomarkers and mechanisms for keloid disorder based on comprehensive bioinformatics analysis and machine learning algorithms.

BACKGROUND: Keloid disorder (KD) encompasses a spectrum of fibroproliferative dermal conditions, the pathogenesis remains complex and incompletely understood. This study sought to identify biomarkers and potential therapeutic targets for KD through an integrative bioinformatics approach and machine learning analysis of RNA sequencing data. METHODS: RNA sequencing was performed on skin tissue samples from 13 patients with KD and 14 healthy controls. Using weighted gene co-expression network analysis and differential expression analysis revealed differentially expressed key module genes, and the CytoHubba plugin identified candidate genes. Subsequently analyzed using least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE) methods to pinpoint feature genes associated with KD. Following this, biomarkers were determined through expression level validation, enrichment analysis, and immune infiltration analysis. RESULTS: A total of 420 differentially expressed key module genes were identified, and the top 10 genes with DMNC values were selected as candidate genes. Five feature genes were selected through LASSO and SVM-RFE, with NID2, MFAP2, COL8A1, and P4HA3 showing significant expression differences between KD and control samples, along with consistent expression patterns across datasets, identified as potential biomarkers. These four biomarkers were proved to possess high diagnostic potential, and they were found to exhibit significant positive correlations with one another. Functional enrichment analysis indicated that the primary KEGG pathways associated with these biomarkers included "steroid hormone biosynthesis" and "cytokine-cytokine receptor interaction." Moreover, immune infiltration analysis revealed that the four biomarkers were negatively correlated with type 17 T helper cells and positively correlated with 15 immune cell types, including activated B cells and central memory CD4 T cells. CONCLUSION: In conclusion, NID2, MFAP2, COL8A1, and P4HA3 were identified as key biomarkers for KD, offering new avenues for more targeted and effective diagnostic and therapeutic strategies for managing this condition.

Humans↗

Potential biomarkers of benzene exposure.

Biological markers or biomarkers of exposure are indicators for the evaluation of the internal dose of a xenobiotic. Biomarkers integrate exposure from all routes and sources. This review presents a short overview of potential biomarkers of benzene exposure currently under investigation, the methodology used for their determination, and experimental findings and their usefulness and specificity in assessing exposure to benzene. Potential biomarkers of benzene exposure are benzene, benzene metabolites, and adducts formed by reactive benzene metabolites with cellular constituents. The potential biomarkers of benzene exposure described in this review are: (1) benzene, the parent hydrocarbon; (2) ring-hydroxylated urinary metabolites, phenol, catechol, hydroquinone, and 1,2,4-trihydroxybenzene; (3) trans,trans-muconic acid, a urinary ring-opened metabolite; (4) N-acetyl-S-(2,5-dihydroxyphenyl)-L-cysteine, a urinary metabolite of benzene, phenol, and hydroquinone; (5) S-phenylmercapturic acid, a glutathione-derived adduct; (6) N7-phenylguanine, a DNA adduct; and (7) S-phenylcysteine and N-phenyl-valine, hemoglobin/protein-derived adducts.

Animals↗

Potential biomarkers found by protein profiling may provide insight for the macrovascular pathogenesis of diabetes mellitus.

Diabetes mellitus (DM) is an alarming threat to health of mankind, yet its pathogenesis is unclear. The purpose of this study was to find potential biomarkers to serve as indicators for the pathogenesis of DM in a time course manner. Based on our previous findings that oxidative stress occurred at week 8, aorta lysate and sera of 102 streptozotocin (STZ)-induced diabetic and 85 control male Sprague-Dawley rats were obtained at the 4th, 8th and 12th week after STZ injection. The protein profiles were studied employing surface-enhanced laser desorption/ionization time-of-flight mass spectrometry technology in attomole sensitivity range. In the aorta, a multiple biomarker panel was discovered at the 4th week. At the 8th week, 4 biomarkers were found, while at the 12th week, 3 biomarkers were identified. In the sera, a triplet of 3 peaks and 2 biomarkers were all discovered to have 100% classification accuracy rate to differentiate the DM and control groups at all time intervals. Besides, 2 biomarkers were also found to have high classification value at week 12. Comparing the aorta and sera from DM and non-DM rats, a bundle of potential biomarkers with significant changes in peak intensities and high classification values were found. Two of the serum biomarkers matched with islet amyloid polypeptide and resistin in the SWISS-PROT knowledgebase. Validation has been conducted using immunoassay kits. These potential biomarkers may provide valuable insight on the pathogenesis of DM and macrovascular complications.

Animals↗

Benzo[a]pyrene-induced DNA damage and p53 modulation in human hepatoma HepG2 cells for the identification of potential biomarkers for PAH monitoring and risk assessment.

To identify potential biomarkers for the monitoring and risk assessment of benzo[a]pyrene (BaP), the oxidative stress-related DNA damage and p53 modification were investigated in human hepatoma HepG2 cells. Benzo[a]pyrene exposure induced a decrease in the cell viability, but increased the antioxidant enzyme activity as well as the DNA and lipid damage. The p53 protein activation appeared to have been a downstream response to the benzo[a]pyrene-induced DNA damage, suggesting p53 plays important roles in the defense against benzo[a]pyrene-induced genotoxicity. The response of phosphorylated p53 may be more sensitive towards benzo[a]pyrene exposure than normal p53. Following DNA damage, the activation of p53 acts as a transcriptional regulator of several target genes, including, p21 protein; a gene that encodes the Cdk inhibitor and is induced by exposure to benzo[a]pyrene. The p53 mRNA level was increased after the treatment of cells with benzo[a]pyrene, as well as following the induction of p53 protein, suggesting the benzo[a]pyrene-stimulated p53 accumulation may also be transcriptionally induced. The overall results suggest that benzo[a]pyrene leads to serious DNA damage, which leads to the transcription of the p53 gene; that the subsequent p53 protein accumulation up-regulates the cellular p21 protein. Oxidative DNA damage and p53 accumulation seem to be related to benzo[a]pyrene toxicity; however, their potential as biomarkers in environmental monitoring and risk assessment needs to be validated in the context of their specificity and sensitivity.

Benzo(a)pyrene↗

High performance liquid chromatography-mass spectrometry for metabonomics: potential biomarkers for acute deterioration of liver function in chronic hepatitis B.

Metabonomics methods have been successfully applied to the drug discovery, toxicology, phytochemistry, and clinical fields. Here, we report a self-developed metabonomics platform which is based on high performance liquid chromatography-mass spectrometry (HPLC-MS) technique and applied to the investigation of acute deterioration of liver function in chronic hepatitis B to find the potential biomarkers. Sera from 50 healthy persons and 37 patients with acute deterioration of liver function in chronic hepatitis B were analyzed by HPLC-MS after removal of proteins. After de-noise, peak detection and peak alignment, the data of metabolites were fed to partial least squares discriminant analysis (PLS-DA) to find the potential biomarkers. According to the corresponding tandem mass results, several potential biomarkers were identified: Lysophosphatidyl Choline (LPC) C18:0, LPC C16:0, LPC C18:1, LPC C18:2, and glycochenodeoxycholic acid (GCDCA) (or its isomer glycodeoxycholic acid (GDCA)). On the basis of the relevant literature and pathway databases, the biological significance of the present study is discussed.

Adult↗

Rationale for selecting exfoliated bladder cell micronuclei as potential biomarkers for arsenic genotoxicity.

Biomarkers of effect have important potential in epidemiology, since they may enable ascertainment of exposure-effect associations in relatively inexpensive cross-sectional studies, with confirmation by short follow-up after cessation of exposure. Arsenic is known to cause human skin and lung cancer, and may also cause various internal cancers including bladder, kidney, and liver cancer. The strongest epidemiological association between arsenic ingestion and an internal cancer is that with bladder cancer. Epidemiological studies of a Taiwanese population exposed to high levels of arsenic from drinking water reported relative risks for bladder cancer well above any other known environmental carcinogen. Populations at increased risk for bladder cancer from other exposures, such as smoking and schistosomiasis infection, have elevated frequencies of micronuclei in exfoliated bladder cells. We have therefore proposed that the bladder cell micronucleus assay could be an appropriate biological marker of genotoxic effect of arsenic exposure. In this paper, we present the rationale for choosing the bladder cell micronucleus assay as a potential biomarker of effect for arsenic. We also briefly describe the studies we are conducting using this biomarker in currently exposed populations.

Arsenic↗

Allium cepa derived EROD as a potential biomarker for the presence of certain pesticides in water.

Allium cepa root length inhibition test is a well recommended bioassay for the evaluation of the toxicity of various polluted waters. The utility of EROD (7-ethoxy resorufin O-deethylase) as a potential biomarker of pesticide pollution was investigated using the Allium cepa system. Onion bulbs exposed to model water samples containing any of the six pesticides viz. 2,4-D, HCB, malathion, carbaryl, DDT and endosulphan were analyzed for EROD activity. The pesticide treatment resulted in the enhanced activity of the enzyme, with carbaryl and HCB causing 63- and 53-fold induction respectively with respect to the control at a dose of 1.2 ppb. The industrial wastewater samples from Ghaziabad city of Northern India resulted in about a 68-fold rise in the EROD activity, whereas the Aligarh samples did not exhibit any change within the statistical limit. These results suggest the presence of the test pesticides in the Ghaziabad sample and their absence in the Aligarh sample. Pesticide analysis in the test water samples by HPLC supported this to a large extent. Presence of cycloheximide in the test system brought down the EROD activity, equal to that of control, suggesting the de novo synthesis of the enzyme following the exposure of Allium cepa to pesticides. These studies suggest that the Allium cepa derived EROD can act as a potential biomarker of certain pesticides since even 1ppb of total/individual pesticides brought about >10-fold induction of EROD. We recommend the assay of EROD in the Allium cepa system as a presumptive test for the detection of these pesticides before using analytical techniques like HPLC.

Biomarkers↗

Combined dexamethasone/corticotropin releasing hormone test predicts treatment response in major depression - a potential biomarker?

BACKGROUND: Exaggerated corticotropin (ACTH) and cortisol response to the combined dexamethasone (DEX)/corticotropin releasing hormone (CRH) test, indicating impaired regulation of the hypothalamus-pituitary-adrenocortical (HPA) system, is frequently observed in depression. In the present study, we examined whether change in HPA system function during the first weeks of hospitalization predicts response to antidepressant treatment in major depression and thus constitutes a potential biomarker. METHODS: We conducted the DEX/CRH test in 50 inpatients suffering from severe major depression, once after study inclusion and a second time 2 to 3 weeks later while under continuous antidepressant treatment. RESULTS: We found increased ACTH and cortisol responses to the first DEX/CRH test compared with healthy control subjects. In the second DEX/CRH test 2 to 3 weeks later, 36 of the 50 patients showed an attenuated cortisol response, while 14 patients did not display improvement or exhibited even aggravation of the altered HPA system function. Improved HPA system regulation in the second DEX/CRH test was associated with beneficial treatment response after 5 weeks and a higher remission rate at the end of hospitalization. CONCLUSIONS: The results suggest that change in HPA system regulation assessed with repeated DEX/CRH tests is a potential biomarker that may predict clinical outcome at follow-up. There is consensus that the drug development process could be improved, once reliable biomarkers become available that help to allow a judgement regarding the efficacy of a novel drug candidate. The combined DEX/CRH test seems to be a promising candidate for such a biomarker.

Adrenocorticotropic Hormone↗

Circadian rhythm of dihydrouracil/uracil ratios in biological fluids: a potential biomarker for dihydropyrimidine dehydrogenase levels.

1. In many cancer patients, 5-fluorouracil (5-FUra) treatment is toxic and even causes death. Nevertheless, all patients are subjected to a standard therapy regimen because there is no reliable way to identify beforehand those patients who are predisposed to 5-FUra-induced toxicity. In this study, we identified the dihydrouracil/uracil (UH2/Ura) ratio in plasma or urine as a potential biomarker reflecting the activity of dihydropyrimidine dehydrogenase (DPD), the rate-limiting enzyme in 5-FUra metabolism. 2. UH2/Ura ratios were measured by high-performance liquid chromatography tandem triple quadrupole mass spectrometry (HPLC-MS/MS) in both healthy subjects (n=55) and in patients (n=20) diagnosed with grade I/II gestational trophoblastic tumours. In addition, rats (n=18) were used as an animal model to verify a correlation between UH2/Ura ratios and DPD levels in the liver. 3. A significant circadian rhythm was observed in UH2/Ura ratios in healthy subjects, whereas a disrupted rhythm occurred in cancer patients who were continuously infused with a high dose of 5-FUra. In rats, UH2/Ura ratios, liver DPD levels and PBMC DPD levels showed a definite circadian rhythm. Significant linear correlations with liver DPD levels were demonstrated for plasma UH2/Ura ratios (r=0.883, P<0.01), urine UH2/Ura ratios (r=0.832, P<0.01) and PBMC DPD levels (r=0.859, P<0.01). 4. The UH2/Ura ratio in biological fluid was significantly correlated with liver DPD levels; hence, this ratio could be a potential biomarker to identify patients with a deficiency in DPD.

Adult↗

Identification of autophagy-related genes as potential biomarkers correlated with immune infiltration in bipolar disorder: a bioinformatics analysis.

BACKGROUND: Bipolar disorder (BPD) is a kind of manic and depressive phase alternate episodes of serious mental illness, and it is correlated with well-documented cortical brain abnormalities. Emerging evidence supports that autophagy dysfunction in neuronal system contributes to pathophysiological changes in neurological disease. However, the role of autophagy in bipolar disorder has rarely been elucidated. This study aimed to identify the autophagy-related gene as a potential biomarker Correlated to immune infiltration in BPD. METHODS: The microarray dataset GSE23848 and autophagy-related genes (ARGs) were downloaded. Differentially expressed genes (DEGs) between normal and BPD samples were screened using the R software. Machine learning algorithms were performed to screen the significant candidate biomarker from autophagy-related differentially expressed genes (ARDEGs). The correlation between the screened ARDEGs and infiltrating immune cells was explored through correlation analysis. RESULTS: In this study, the autophagy pathway was abundantly enriched and activated in BPD, as indicated by Pathway enrichment analysis. We identified 16 ARDEGs in BPD compared to the normal group. A signature of 4 ARDEGs (ERN1, ATG3, CTSB, and EIF2AK3) was screened. ROC analysis showed that the above genes have good diagnostic performance. In addition, immune correlation analysis considered that the above four genes significantly correlated with immune cells in BPD. CONCLUSIONS: Autophagy - immune cell axis mediates pathophysiological changes in BPD. Four important ARDEGs are prospective to be potential biomarkers associated with immune infiltration in BPD and helpful for the prediction or diagnosis of BPD.

Bipolar Disorder↗

Identifying potential biomarkers in the hippocampus of chronic fatigue syndrome rats treated with moxibustion at Zusanli (ST36): a proteomics study.

OBJECTIVE: To observe the effects of moxibustion at Zusanli (ST36) on rats with chronic fatigue syndrome (CFS) and to analyze the mechanisms of moxibustion through hippocampal Proteomics. METHODS: Male Sprague-Dawley (SD) rats were randomly divided into three groups: control group (CON), model group (MOD), and moxibustion group (MOX), with 12 rats in each group. The MOD and MOX groups underwent chronic multi-factor stress stimulation for 35 d to establish the CFS model. After modeling, the rats in the MOX group received mild moxibustion at Zusanli (ST36) (bilateral) for 10 minutes daily for 28 d. During the treatment period, rats in both the MOD and MOX groups continued modeling, while the CON group was kept under normal breeding conditions. The general condition of the rats was monitored, and behaviors were assessed using the Open Field Test (OFT), Exhaustion Treadmill Test, and Morris Water Maze (MWM). Hematoxylin and eosin (HE) staining and transmission electron microscopy (TEM) were employed to observe morphological changes in the hippocampus. Label-free Proteomics were utilized to identify differentially expressed proteins (DEPs) in the hippocampus, followed by bioinformatics analysis. The reliability of the Proteomics results was verified using Parallel Reaction Monitoring. RESULTS: A: Moxibustion at Zusanli (ST36) significantly reduced the general condition score of CFS rats, improved their behavioral performance in OFT, treadmill and MWM, and repaired the pathological and synaptic structural damage in the hippocampus.B: We identified DEPs by applying a fold change threshold of 1.2 and a significance level of P < 0.05. In the comparison between the CON and the MOD, we identified a total of 72 DEPs (31 up-regulated and 41 down-regulated) associated with the development of CFS. In the comparison between the MOX and the MOD group, we identified a total of 103 DEPs (40 up-regulated and 63 down-regulated) related to the therapeutic effects of moxibustion. Gene Ontology (GO) enrichment analysis showed that CFS and moxibustion treatment were related to multiple biological processes, molecular functions, and cellular components. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that CFS pathogenesis was linked to base excision repair, steroid biosynthesis, and systemic lupus erythematosus, Furthermore, the treatment of CFS with moxibustion was relevant to terpenoid skeleton biosynthesis.C: Compared with the two comparison groups, we identified 16 potential biomarkers, noting that moxibustion reversed the up-regulation of 14 DEPs and the down-regulation of 2 DEPs in CFS. These proteins are mainly associated with synaptic plasticity, ribosomal function, neurotransmitter secretion, glycine metabolism, and mitochondrial function. CONCLUSION: Moxibustion at Zusanli (ST36) is effective in treating CFS, the potential biomarkers identified by Proteomics confirm that the mechanisms of moxibustion involve multiple targets and pathways, which may be key to regulating the structural and functional damage in the hippocampus associated with CFS, highlighting their significant value for future research.

Animals↗

Biomarkers: potential uses and limitations.

Biomarkers provide a dynamic and powerful approach to understanding the spectrum of neurological disease with applications in observational and analytic epidemiology, randomized clinical trials, screening and diagnosis and prognosis. Defined as alterations in the constituents of tissues or body fluids, these markers offer the means for homogeneous classification of a disease and risk factors, and the can extend our base information about the underlying pathogenesis of disease. Biomarkers can also reflect the entire spectrum of disease from the earliest manifestations to the terminal stages. This brief review describes the major uses of biomarkers in clinical investigation. Careful assessment of the validity of biomarkers is required with respect to the stage of disease. Causes of variability in the measurement of biomarkers range from the individual to the laboratory. Issues that affect the analysis of biomarkers are discussed along with recommendations on how to deal with bias and confounding.

Biomarkers↗

Antioxidant enzymes in brackishwater oyster, Saccostrea cucullata as potential biomarkers of polyaromatic hydrocarbon pollution in Hooghly Estuary (India): seasonality and its consequences.

Use of antioxidant enzymes as biomarkers often becomes a complicated process at application level because they show considerable seasonal fluctuation due to both natural and biological factors. In this study, we studied the consequences of seasonal variation of antioxidant enzymes [catalase (EC 1.11.1.6), superoxide dismutase (SOD, EC 1.15.1.1), glutathione peroxidase (GPX, EC 1.11.1.9) and microsomal NADPH-DT diaphorase (EC 1.6.99.2)] in the digestive gland of wild brackishwatcr oysters, Saccostrea cucullata for biomonitoring against polyaromatic hydrocarbon (PAH) contamination in Hooghly Estuary, north-eastern coast of India. As a general trend, maximum antioxidant enzyme activities were detected in pre-monsoon period or summer (March-June) followed by a gradual decrease during monsoon (July-October) with a minimum in post-monsoon period or winter (November-February) and this pattern was similar to tissue concentrations of PAHs also. The physiological fluctuations of the antioxidant defense systems were inversely-related to the lipid peroxidation indicating an enhanced susceptibility of oyster tissues to oxidative stress during post-monsoon or winter period. However, the oysters from polluted populations exhibited consistent very high PAHs load in their tissues as well as significant increases in the activities of antioxidant enzymes than in non-polluted populations in all three seasons. The results indicated that the antioxidant enzymes, catalase, SOD and microsomal NADPH-DT diaphorase in digestive gland of S. cucullata could be useful biomarkers of PAHs contamination. It also emphasized that seasonal variation of potential biomarkers like such enzymes should be incorporated into interpretation of biomonitoring studies by the use of appropriate controls and identical treatment in analysis of polluted and non-polluted samples.

Animals↗

[Tissue microarrays. High-throughput procedures to verify potential biomarkers].

High-throughput molecular screening tools have created a need for equally rapid means to verify potential biomarkers. Tissue microarray (TMA) technology facilitates effective analysis on the protein level. Hundreds of 0.6-mm-diameter tissue samples are placed on a single standard glass slide. This approach allows analysis with different in situ methods of all tissue samples in one experiment under standardized conditions. TMAs are not only perfectly suited for molecular epidemiologic studies if applied on multitumor arrays composed of a variety of tumor entities, but they are also used for tumor-specific investigations of molecular markers. In this report the technical aspects of TMAs as a miniaturized high-throughput technology are described. We further demonstrate how the TMA technique will help to accelerate the transition from basic research to clinical application in prostate cancer disease.

Biomarkers, Tumor↗

Potential biomarkers for human Ascending aortic aneurysm identified through metagenomic and metabolomic analyses: A case-control study.

INTRODUCTION: Ascending aortic aneurysm (AsAA) is a high-risk cardiovascular condition; recent research indicates a possible association between gut microbiota, plasma metabolites, and the pathogenesis of AsAA. OBJECTIVE: This study aims to investigate the compositional and metabolic alterations in the gut microbiota of AsAA patients to identify potential biomarkers for AsAA. METHODS: This study enlisted 72 participants, comprising 44 individuals with AsAA and 28 healthy controls. All participants underwent examination for clinical features, and fecal and plasma samples were obtained for metagenomic and metabolomic studies. RESULTS: Metagenomic analysis revealed a significant reduction of 23 bacterial species in AsAA patients, including Bifidobacterium adolescentis, Bifidobacterium longum, Lactiplantibacillus plantarum, Enterococcus faecalis, and Streptococcus thermophilus, while 52 bacterial species, such as Prevotella copri, Phascolarctobacterium faecium, and Eubacterium ventriosum, were found to be enriched. Furthermore, we identified seven microbial co-abundance groups (CAGs), of which three (predominantly comprising Roseburia, Agathobacter, and Prevotella) were significantly elevated in AsAA patients, whereas one (predominantly comprising Escherichia) was substantially diminished. KEGG pathway enrichment analysis indicated that the biosynthesis of unsaturated fatty acids pathway displayed the most pronounced differences between groups. Metabolomics data revealed that 22 metabolites, including ceramides, were significantly elevated, while 8 metabolites, such as threonine, were notably downregulated. Moreover, clinical indicators like C-reactive protein (CRP) and complement components C3 and C4 have shown strong correlations with specific gut microbiota (Streptococcus, Prevotella) and plasma metabolites (threonine, ceramides). These findings indicate that inflammatory responses, metabolic dysregulation, and gut microbiota imbalance are pivotal in the etiology of AsAA. CONCLUSION: This study demonstrates substantial alterations in gut microbiota composition and plasma metabolites in patients with AsAA. Prevotella and ceramides exhibit potential as biomarkers for AsAA diagnosis. Furthermore, a synergy of Prevotella and ceramides may function as a potent disease prediction classifier, offering novel perspectives on the early diagnosis and targeted treatment of AsAA.

Humans↗

Osteopontin: a potential biomarker for successful bee venom immunotherapy and a potential molecule for inhibiting IgE-mediated allergic responses.

Venom immunotherapy (VIT) is proven to be curative for insect allergy, but the mechanisms and the biomarkers associated with clinical efficacy remain elusive. We report herein the discovery of a leading candidate biomarker, osteopontin (OPN), for VIT. From cDNA microarray and clustering analyses, an increased expression of OPN was found in patients who completed 5-6 years of VIT and discontinued therapy for 3-6 years as compared with the untreated group. A significantly higher level of serum OPN was found in the completed treatment group as compared with the untreated group. Following VIT, kinetically increased levels of OPN associated with reduced venom specific IgE levels were noted in subjects with large local allergic reactions to venom. These findings together with the fact that OPN is involved in Th1-associated immune response strongly suggest a role of OPN as a functional biomarker for VIT.

Bee Venoms↗