Salivary cytokine alterations in HIV infection
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: 
Minal Dalvi
PROVIDER: E-GEOD-24411 | ArrayExpress | 2011-09-08
SECONDARY ACCESSION(S): GSE24411PRJNA132709
REPOSITORIES: GEO, ArrayExpress
Similar Datasets
Project description:Systemic and local (oral mucosal) immune responses in acutely infected HIV individuals before the initiation of HAART have not been well characterized. Protein microarrays were used to analyze saliva and plasma from HIV infected and HIV uninfected subjects to identify new biomarkers for HIV disease progression and pathogenesis. A 507 protein microarray was employed to provide a broad view of cytokines and chemokines in saliva and plasma in acutely HIV infected subjects as compared to uninfected subjects. A custom array derived from the initial results was refined to highlight those molecules with significant change relative to control subjects indicating the potential for biological impact.
2011-09-08 | E-GEOD-24037 | ArrayExpress
Project description:A 507 protein microarray was employed to provide a broad view of cytokines and chemokines in saliva and plasma in acutely HIV infected subjects as compared to uninfected subjects. A 40 cytokine custom array derived from the initial results was refined to highlight those molecules with significant change relative to control subjects indicating the potential for biological impact. Systemic and local (oral mucosal) immune responses in acutely infected HIV individuals before the initiation of HAART have not been well characterized. Protein microarrays were used to analyze saliva and plasma from HIV infected and HIV uninfected subjects to identify new biomarkers for HIV disease progression and pathogenesis.
2011-09-08 | E-GEOD-24064 | ArrayExpress
Project description:Proteins in saliva are needed for preprocessing food in the mouth, maintenance of tooth mineralization, and protection from microbial pathogens. Novel insights into human lineage-specific functions of salivary proteins and clues to their involvement in human disease can be gained through evolutionary studies, as recently shown for salivary amylase AMY1 and salivary agglutinin deleted in malignant brain tumors 1/gp340. However, the entirety of proteins in saliva, the 20 salivary proteome, has not yet been investigated from an evolutionary perspective. Here, we compared the proteomes of human saliva and the saliva of our closest extant evolutionary relatives, chimpanzees and gorillas, using macaques as an outgroup, with the aim to uncover features in saliva protein composition that are unique to each species.We found that humans produce a waterier saliva, containing less than half total protein than great apes and OldWorldmonkeys. For all major salivary proteins in humans, we could identify counterparts in chimpanzee and gorilla saliva. However, we 25 discovered unique protein profiles in saliva of humans that were distinct from those of nonhuman primates. These findings open up the possibility that dietary differences and pathogenic pressures may have shaped a distinct salivary proteome in the human lineage.
2019-12-13 | PXD015850 | Pride
Project description:Ovarian cancer is the leading cause of death in gynecological diseases, and has been considered as one of the most fatal cancers due to lack of reliable detection strategy in the early stage. Therefore the capability to detect the morbidity initiation with an sensitive and effective approach is one of the most desirable goals for curing ovarian cancer. In this study, we used microarray technology for salivary mRNA biomarkers discovery, and evaluated the performance and translational utilities of discovered markers from a clinical study using an independent sample cohort . We used microarrays to profile and compare the gene expressions between ovairan cancer patient and matched controls, and identified seven down-regulated genes after the validation study. To find salivary transcriptomic biomarkers for ovarian cancer, salivary transcriptomes in 11 ovarian cancer patients and 11 matched controls were profiled using Affymetrix HG-U133-Plus-2.0 array, and followed by t-test and fold-change analyses. The biomarker candidates selected from the microarray results were subjected to clinical validation using an independent sample cohort by RT-qPCR. The prediction power of biomarkers was analyzed by logistic regression approach
2011-05-12 | E-GEOD-29220 | ArrayExpress
Project description:Whole saliva is contains major, minor and gingival crevicular fluid/secretions and it plays vital role in maintaining the oral health, three pair of major salivary glands consist of parotid, submandibular and sub-lingual glands. Saliva is a good biological fluid to explore health and disease status of human. Further, the saliva secrets from major salivary glands and have various biomolecules such as, proteins, enzymes and ions originated from serum and saliva is easily accessible through a safe and noninvasive method. In contrast, the concentrations of biomolecules in saliva are generally one tenth to one thousand of the levels in blood. Ovulation is an exclusive process through the mature (pre-ovulatory) ovarian follicles reacts to the surge of luteinizing hormone (LH) and burst to discharge fertilizable oocytes. The LH surge initiates a flow of proteolytic actions with the aim of control ovulation. Presently, many salivary proteins are have been showed as a biomarker such as Sjogren’s syndrome, Lung cancer, oral and Systemic diseases, HIV-seropositive patients, dental pellicle development, and hyperglycemia. However, there is no prominent marker protein was reported for monitoring ovulation process in human saliva. It is important prediction of fertile period in women for various applications like assisted reproduction and invitro fertilization.
2016-12-22 | PXD000921 | Pride
Project description:Natural compounds that can stimulate salivary secretion are of interest in developing treatments for xerostomia, the perception of a dry mouth, that affects between 10 and 30% of the adult and elderly population. Chemesthetic transient receptor potential (TRP) channels are expressed in the surface of the oral mucosa. The TRPV1 agonists capsaicin and piperine have been shown to increase salivary flow when introduced into the oral cavity but the sialogogic properties of other TRP channel agonists have not been investigated. In this study we have determined the influence of different TRP channel agonists on the flow and protein composition of saliva. Mouth rinsing with the TRPV1 agonist nonivamide or menthol, a TRPM8 agonist, increased whole mouth saliva (WMS) flow and total protein secretion compared to unstimulated saliva, the vehicle control mouth rinse or cinnamaldehyde, a TRPA1 agonist. Nonivamide also increased the flow of labial minor gland saliva but parotid saliva flow rate was not increased. The influence of TRP channel agonists on the composition and function of the salivary proteome was investigated using a multi-batch quantitative mass spectrometry method novel to salivary proteomics. Inter-personal and inter-mouth rinse variation was observed in the secreted proteomes and, using a novel bioinformatics method, inter-day variation was identified with some of the mouth rinses. Significant changes in specific salivary proteins were identified after all mouth rinses. In the case of nonivamide, these changes were attributed to functional shifts in the WMS secreted, primarily the over representation of salivary and non-salivary cystatins which was confirmed by immunoassay. This study provides new evidence of the impact of TRP channel agonists on the salivary proteome and the stimulation of salivary secretion by a TRPM8 channel agonist, which suggests that TRP channel agonists are potential candidates for developing treatments for sufferers of xerostomia
2020-07-16 | PXD017232 | Pride
Project description:Transcriptome analysis of partially degraded and fragmented RNA samples from body fluids Global gene expression profiling has shown great promise in high-throughput biomarker discovery for early disease detection in body fluids such as saliva, which is accessible, cost-effective, and non-invasive. However, this goal has not been fully realized because saliva, like many clinical samples, contains partially fragmented and degraded RNAs that are difficult to amplify and detect with prevailing technologies. Here, using nanogram scale salivary RNA as a proof-of-principle example, we describe our progress with a novel poly-A tail independent mRNA amplification strategy combined with the Affymetrix GeneChip Exon arrays. We defined a Salivary Exon Core Transcriptome (SECT) with highly similar expression profiles in healthy individuals verified by quantitative PCR. Informatics analysis of SECT provided important mechanistic insight to their potential origin and function. Finally we demonstrated the diagnostic potential of true exon level expression profiling approach with salivary exon biomarkers that accurately discriminated gender in healthy individuals. We analyzed saliva from 18 healthy subjects (7 males, 11 females) using the Affymetrix Human Exon 1.0 ST platform. Array data was processed by Affymetrix Exon Array Computational Tool. No techinical replicates were performed.
2008-05-19 | E-GEOD-7760 | ArrayExpress
Project description:Mastocytosis is a myeloproliferative neoplasm characterized by infiltration of clonally derived mast cells in different tissues. According to mast cells localization, it is possible to discriminate cutaneous mastocytosis (CM) from systemic mastocytosis (SM), the latter involving at least an extracutaneous organ, like bone marrow, liver, spleen and gastrointestinal tract. Some of the SM patient can develop also cutaneous lesions (SM+C). Disease classification is often tricky. Oral cavity is commonly involved in the symptomatology. With the aim to highlight possible qualitative/quantitative modifications of the salivary proteome associated to the different forms of the disease, we investigated the protein profiles of CM, SM, and SM+C patients, and healthy controls, by integrated top-down platforms. a top-down proteomic platform, based on high performance liquid chromatography separation coupled to electrospray-ion trap mass spectrometry (HPLC-ESI-IT-MS) analysis of the acidic soluble proteome of human saliva, which was standardized in our previous studies for detecting and quantifying of hundreds salivary peptides/proteins. By this approach, it is possible to obtain a profiling of the naturally occurring salivary proteome, including isoforms and post-translational modifications (PTMs), to compare an unlimited number of samples and to quantify proteins aby a label-free method.
2020-06-25 | PXD017759 | Pride
Project description:This is a pilot study. We are trying to detect potential salivary biomarkers in mice with a pancreatic tumor. Global gene expression profiling has shown great promise in high-throughput biomarker discovery for early disease detection in body fluids such as saliva, which is accessible, cost-effective, and non-invasive. However, this goal has not been fully realized because saliva, like many clinical samples, contains partially fragmented and degraded RNAs that are difficult to amplify and detect with prevailing technologies. Here, using nanogram scale salivary RNA as a proof-of-principle example, we describe our progress with a novel poly-A tail independent mRNA amplification strategy combined with the Affymetrix GeneChip Exon arrays. We defined a Salivary Exon Core Transcriptome (SECT) with highly similar expression profiles in healthy individuals verified by quantitative PCR. Informatics analysis of SECT provided important mechanistic insight to their potential origin and function. Finally we demonstrated the diagnostic potential of true exon level expression profiling approach with salivary exon biomarkers that accurately discriminated gender in healthy individuals. Recent studies have demonstrated that discriminatory salivary biomarkers can be readily detected upon the development of systemic diseases such as pancreatic cancer, breast cancer, lung cancer and ovarian cancer. However, the utility of salivary biomarkers for the detection of systemic diseases has been undermined due to the absence of biological and mechanistic rationale why distal diseases from the oral cavity would lead to the development of discriminatory biomarkers in saliva. Here, we examine the hypothesis that pancreatic tumor-derived exosomes are mechanistically involved in the development of pancreatic cancer-discriminatory salivary transcriptomic biomarkers. We first developed a pancreatic cancer mouse model that yielded discriminatory salivary biomarkers by implanting the mouse pancreatic cancer cell line Pan02 into the pancreas of the syngeneic host C57BL/6. The role of pancreatic cancer-derived exosomes in the development of discriminatory salivary biomarkers was then tested by engineered a Pan02 cell line that is suppressed for exosome biogenesis, implanted into the C56BL/6 mouse and examine if the discriminatory salivary biomarker profile was ablated or disrupted. Suppression of exosome biogenesis results in the ablation of discriminatory salivary biomarker development. This study supports that tumor-derived exosomes provide a mechanism in the development of discriminatory biomarkers in saliva and distal systemic diseases. We analyzed saliva from 6 healthy mice and 6 mice with a pancreatic tumor using the Affymetrix Mouse Exon Genome 430 2.0 platform. Array data was processed by dChip. No techinical replicates were performed.
2013-06-12 | E-GEOD-47811 | ArrayExpress
Project description:We have performed gene expression microarray analysis to profile transcriptomic signatures between cancer and noncancerous patients Gastric cancer is currently the second leading cause of cancer deaths. Due to the difficulty of diagnosing patients in the early stages of gastric cancer, it is critical to develop a method that can diagnose the disease at the early stage to allow for better treatment options. In this study, we discovered salivary transcriptomic and miRNA biomarkers for the detection of gastric cancer and identified there are mRNA-miRNA correlations in saliva. RNA was extracted from saliva supernatant and mRNA candidates were identified that can distinguish gastric cancer from non-gastric cancer patients
2015-01-15 | E-GEOD-64951 | ArrayExpress