Effects of small extracellular vesicles derived from normoxia- and hypoxia-treated prostate cancer cells on the submandibular salivary gland epithelium in vitro.

Small extracellular vesicles (sEVs) are an important part of intercellular communication. They are phospholipid bilayer particles that carry active biomolecules such as proteins, various nucleic acids, and lipids. In recipient cells, sEVs can alter cellular functions, including cancer development and premetastatic niche formation in distant organs. Moreover, sEVs can carry cancer-specific features, which makes them promising biomarker candidates. However, the interactions of sEVs with biological barriers and consequences thereof, are not clarified yet. The blood-saliva barrier is crucial for preventing the entry of pathogens and (in)organic substances into the bloodstream, as well as molecule filtration from blood to saliva. The effects of brain derived DU145 prostate cancer (PCa) sEVs on a human submandibular salivary gland barrier (SSGB) in vitro were investigated. Small EVs were harvested from normoxic (N, atmospheric O2) or hypoxic (H, 1% O2) conditions, fluorescently labeled with CellTrackerTM Orange and thoroughly characterized. HTB-41 B2 cells were used as SSGB model cultured on 24-well ThinCert® inserts. After model optimization indicating effects of serum and serum-sEVs on barrier properties, PCa sEVs were applied to the basolateral (blood) side in either 10% serum, or serum-free conditions, and barrier integrity was continuously monitored for 40 hours. This study found that H and N PCa sEVs were uptaken by the SSGB in vitro model in similar quantities regardless of the media composition in the basolateral compartment. Permeation of fluorescent PCa sEVs into the apical compartment was not detectable with the applied methods. However, treatment with H and N sEVs under different serum conditions revealed distinct molecular clusters after hierarchical analysis of mRNA data measured by high-throughput qPCR, which were partly reflected at the protein level. For example, serum-reduction dependent decrease of barrier properties was accompanied with the decrease of CDH1 or Claudin-7 expression. Interestingly, the presence of H sEVs significantly increased the number of sEV-sized particles in the apical compartment of the SSGB model compared to basolaterally added N sEVs. This functional effect on the number of particles in the saliva (apical) compartment induced by different sEVs applied in the blood (basolateral) compartment might be a new approach to understand one possible mechanism how differences of salivary EVs might occur which then could be used as biomarker.

MAGPIX and FLEXMAP 3D Luminex platforms for direct detection of miR-122-5p through dynamic chemical labelling.

MicroRNAs (miRs) have emerged as promising biomarkers for diagnosing and predicting the prognosis of liver injury. This study aimed to compare the performance of two Luminex platforms, MAGPIX and FLEXMAP 3D, utilizing the innovative Dynamic Chemical Labelling (DCL) technology for direct detection and analysis of miR-122-5p in serum samples from patients with liver injury. Serum samples were collected from four patients with liver injury and four healthy controls. The levels of miR-122-5p were measured using the DCL method on both MAGPIX and FLEXMAP 3D platforms. The performance evaluation included the limit of detection (LOD), intra-assay and inter-assay precision, as well as accuracy. The results demonstrated that both platforms exhibited high sensitivity and specificity in detecting miR-122-5p in serum samples from patients with liver injury. However, FLEXMAP 3D indicated a lower LOD compared to MAGPIX. The precision of miR-122-5p detection was similar between the two platforms. In conclusion, both MAGPIX and FLEXMAP 3D Luminex platforms, in conjunction with DCL reagents, proved to be reliable and sensitive tools for detecting miR-122-5p in serum samples from patients with liver injury. Although both platforms were effective, FLEXMAP 3D exhibited slightly better performance, suggesting its preference for miR detection in clinical settings. These findings offer valuable insights for selecting the appropriate Luminex platform for miR detection in patients with liver injury and beyond.

Accessing Antibody Reactivities in Serum or Plasma to (Auto-)antigens Using Multiplexed Bead-Based Protein Immunoassays.

Antibody (AB) testing or serotesting for reactive ABs against antigenic proteins is broadly used. Parallel examination of many antigens is of high interest to identify autoantibodies (AAB) or differential antigenic reactivities in many biological settings like allergy and infectious autoimmune, cancerous, or systemic disease. The resulting AAB profiles can be used for diagnosis, prognosis, and monitoring of such conditions. Protein microarrays have been used for AB profiling over the past decade but show some significant limitations which make them unsuitable for clinical applications. Alternative multiplexing platforms such as bead arrays were shown to provide a versatile tool for the confirmation and efficient analysis of high numbers of biological samples. Luminex' bead-based xMAP technology combines advantages such as multiplexing and lower demand for sample volume and at the same time overcomes the challenges of microarrays. It works faster, shows better antigen stability, is more reproducible, and allows the analysis of up to 500 analytes in one sample well. In this chapter we introduce our established workflow for the use of the xMAP technology for AB profiling including an overview of the method principle and protocols for the covalent immobilization of proteins to the MagPlex beads, confirmation of protein coupling, the execution of a multiplexed bead-based protein immunoassay, and subsequent data handling.

Multiplexed Bead-Based Peptide Immunoassays for the Detection of Antibody Reactivities.

Antigenic peptides are commonly used in serological test settings such as enzyme-linked immunosorbent assays (ELISA) to determine reactive antibodies (ABs) from serum or plasma samples. The use of synthetic peptides provides advantages like lower production effort and easier incorporation of specific chemical modifications compared to full-length antigenic proteins. Multiplexed antibody (AB) profiling methods such as microarray technologies enable the simultaneous identification of multiple novel biomarkers for the use in early disease diagnostics, vaccine development, or monitoring of immune responses. Despite various benefits they still show major limitations which can be overcome with bead-based assay technologies like the multi-analyte profiling (xMAP) technology developed by Luminex. In this chapter we introduce our established workflow for AB profiling with a multiplexed bead-based peptide immunoassay. The workflow is based on copper-catalyzed click chemistry to immobilize designed synthetic peptides onto uniquely color-coded paramagnetic beads in an orientation-specific manner. The individual peptide-coupled beads can be distinguished by their unique emission spectra during readout in the xMAP instrument and therefore allow testing of up to 500 different antigenic peptides in one multiplexed reaction. The multistep process described in this chapter is divided into separate sections for peptide design, coupling of functionalized peptides to MagPlex beads via click chemistry, confirmation of successful peptide immobilization, processing of serum or plasma samples, or preferably purified IgG thereof, with the multiplexed bead-based peptide immunoassay and subsequent data export and analysis.

Expression Profiling Suggests Loss of Surface Integrity and Failure of Regenerative Repair as Major Driving Forces for Chronic Obstructive Pulmonary Disease Progression.

Chronic obstructive pulmonary disease (COPD) poses a major risk for public health, yet remarkably little is known about its detailed pathophysiology. Definition of COPD as nonreversible pulmonary obstruction revealing more about spatial orientation than about mechanisms of pathology may be a major reason for this. We conducted a controlled observational study allowing for simultaneous assessment of clinical and biological development in COPD. Sixteen healthy control subjects and 104 subjects with chronic bronchitis, with or without pulmonary obstruction at baseline, were investigated. Using both the extent of and change in bronchial obstruction as main scoring criteria for the analysis of gene expression in lung tissue, we identified 410 genes significantly associated with progression of COPD. One hundred ten of these genes demonstrated a distinctive expression pattern, with their functional annotations indicating participation in the regulation of cellular coherence, membrane integrity, growth, and differentiation, as well as inflammation and fibroproliferative repair. The regulatory pattern indicates a sequentially unfolding pathology that centers on a two-step failure of surface integrity commencing with a loss of epithelial coherence as early as chronic bronchitis. Decline of regenerative repair starting in Global Initiative for Chronic Obstructive Lung Disease stage I then activates degradation of extracellular-matrix hyaluronan, causing structural failure of the bronchial wall that is only resolved by scar formation. Although they require independent confirmation, our findings provide the first tangible pathophysiological concept of COPD to be further explored.Clinical trial registered with www.clinicaltrials.gov (NCT00618137).

Charting Extracellular Transcriptomes in The Human Biofluid RNA Atlas.

Extracellular RNAs present in biofluids have emerged as potential biomarkers for disease. Where most studies focus on blood-derived fluids, other biofluids may be more informative. We present an atlas of messenger, circular, and small RNA transcriptomes of a comprehensive collection of 20 human biofluids. By means of synthetic spike-in controls, we compare RNA content across biofluids, revealing a 10,000-fold difference in concentration. The circular RNA fraction is increased in most biofluids compared to tissues. Each biofluid transcriptome is enriched for RNA molecules derived from specific tissues and cell types. Our atlas enables an informed selection of the most relevant biofluid to monitor particular diseases. To verify the biomarker potential in these biofluids, four validation cohorts representing a broad spectrum of diseases were profiled, revealing numerous differential RNAs between case and control subjects. Spike-normalized data are publicly available in the R2 web portal for further exploration.

High similarity of IgG antibody profiles in blood and saliva opens opportunities for saliva based serology.

Saliva based diagnostics is a rapidly evolving field due to the large diagnostic potential and simple sample collection. Currently only few individual molecules were investigated for their diagnostic capabilities in saliva. A systematic comparison of IgG antibody profiles in saliva and plasma is still missing in scientific literature. Our hypothesis is that IgG profiles in plasma and saliva are highly similar for each individual. As a consequence, one could implement practically any plasma based IgG assay (classical serology) as saliva based assay. In other words, the IgG antibodies found in blood are also accessible from saliva. We confirm our hypothesis by comparing IgG reactivities towards protein and peptide antigens. We isolated saliva IgG with high purity and demonstrate that plasma IgG reactivities (classical serology) can be inferred from saliva. As a showcase we perform Hepatitis B virus antibody (plasma-)titer determination from saliva. Additionally we show that plasma and saliva IgG profiles of 20 individuals are highly similar for 256 peptide antigens and match (unsupervised) with high probabilities. Finally, we argue for generalisation to the complete IgG antibody profile. The presented findings could contribute greatly to the development of saliva based diagnostic methods of numerous antibody based tests.

Middle age has a significant impact on gene expression during skin wound healing in male mice.

The vast majority of research on the impact of age on skin wound healing (WH) compares old animals to young ones. The middle age is often ignored in biogerontological research despite the fact that many functions that decline in an age-dependent manner have starting points in mid-life. With this in mind, we examined gene expression patterns during skin WH in late middle-aged versus young adult male mice, using the head and back punch models. The rationale behind this study was that the impact of age would first be detectable at the transcriptional level. We pinpointed several pathways which were over-activated in the middle-aged mice, both in the intact skin and during WH. Among them were various metabolic, immune-inflammatory and growth-promoting pathways. These transcriptional changes were much more pronounced in the head than in the back. In summary, the middle age has a significant impact on gene expression in intact and healing skin. It seems that the head punch model is more sensitive to the effect of age than the back model, and we suggest that it should be more widely applied in aging research on wound healing.

Wound healing and longevity: lessons from long-lived αMUPA mice.

Does the longevity phenotype offer an advantage in wound healing (WH)? In an attempt to answer this question, we explored skin wound healing in the long-lived transgenic αMUPA mice, a unique model of genetically extended life span. These mice spontaneously eat less, preserve their body mass, are more resistant to spontaneous and induced tumorigenesis and live longer, thus greatly mimicking the effects of caloric restriction (CR). We found that αMUPA mice showed a much slower age-related decline in the rate of WH than their wild-type counterparts (FVB/N). After full closure of the wound, gene expression in the skin of old αMUPA mice returned close to basal levels. In contrast, old FVB/N mice still exhibited significant upregulation of genes associated with growth-promoting pathways, apoptosis and cell-cell/cell-extra cellular matrix interaction, indicating an ongoing tissue remodeling or an inability to properly shut down the repair process. It appears that the CR-like longevity phenotype is associated with more balanced and efficient WH mechanisms in old age, which could ensure a long-term survival advantage.

Methyl-binding domain protein-based DNA isolation from human blood serum combines DNA analyses and serum-autoantibody testing.

BACKGROUND: Circulating cell free DNA in serum as well as serum-autoantibodies and the serum proteome have great potential to contribute to early cancer diagnostics via non invasive blood tests. However, most DNA preparation protocols destroy the protein fraction and therefore do not allow subsequent protein analyses. In this study a novel approach based on methyl binding domain protein (MBD) is described to overcome the technical difficulties of combining DNA and protein analysis out of one single serum sample. METHODS: Serum or plasma samples from 98 control individuals and 54 breast cancer patients were evaluated upon silica membrane- or MBD affinity-based DNA isolation via qPCR targeting potential DNA methylation markers as well as by protein-microarrays for tumor-autoantibody testing. RESULTS: In control individuals, an average DNA level of 22.8 ± 25.7 ng/ml was detected applying the silica membrane based protocol and 8.5 ± 7.5 ng/ml using the MBD-approach, both values strongly dependent on the serum sample preparation methods used. In contrast to malignant and benign tumor serum samples, cell free DNA concentrations were significantly elevated in sera of metastasizing breast cancer patients. Technical evaluation revealed that serum upon MBD-based DNA isolation is suitable for protein-array analyses when data are consistent to untreated serum samples. CONCLUSION: MBD affinity purification allows DNA isolations under native conditions retaining the protein function, thus for example enabling combined analyses of DNA methylation and autoantigene-profiles from the same serum sample and thereby improving minimal invasive diagnostics.

Identification of SERPINA1 as single marker for papillary thyroid carcinoma through microarray meta analysis and quantification of its discriminatory power in independent validation.

BACKGROUND: Several DNA microarray based expression signatures for the different clinically relevant thyroid tumor entities have been described over the past few years. However, reproducibility of these signatures is generally low, mainly due to study biases, small sample sizes and the highly multivariate nature of microarrays. While there are new technologies available for a more accurate high throughput expression analysis, we show that there is still a lot of information to be gained from data deposited in public microarray databases. In this study we were aiming (1) to identify potential markers for papillary thyroid carcinomas through meta analysis of public microarray data and (2) to confirm these markers in an independent dataset using an independent technology. METHODS: We adopted a meta analysis approach for four publicly available microarray datasets on papillary thyroid carcinoma (PTC) nodules versus nodular goitre (NG) from N2-frozen tissue. The methodology included merging of datasets, bias removal using distance weighted discrimination (DWD), feature selection/inference statistics, classification/crossvalidation and gene set enrichment analysis (GSEA). External Validation was performed on an independent dataset using an independent technology, quantitative RT-PCR (RT-qPCR) in our laboratory. RESULTS: From meta analysis we identified one gene (SERPINA1) which identifies papillary thyroid carcinoma against benign nodules with 99% accuracy (n = 99, sensitivity = 0.98, specificity = 1, PPV = 1, NPV = 0.98). In the independent validation data, which included not only PTC and NG, but all major histological thyroid entities plus a few variants, SERPINA1 was again markedly up regulated (36-fold, p = 1:3*10-10) in PTC and identification of papillary carcinoma was possible with 93% accuracy (n = 82, sensitivity = 1, specificity = 0.90, PPV = 0.76, NPV = 1). We also show that the extracellular matrix pathway is strongly activated in the meta analysis data, suggesting an important role of tumor-stroma interaction in the carcinogenesis of papillary thyroid carcinoma. CONCLUSIONS: We show that valuable new information can be gained from meta analysis of existing microarray data deposited in public repositories. While single microarray studies rarely exhibit a sample number which allows robust feature selection, this can be achieved by combining published data using DWD. This approach is not only efficient, but also very cost-effective. Independent validation shows the validity of the results from this meta analysis and confirms SERPINA1 as a potent mRNA marker for PTC in a total (meta analysis plus validation) of 181 samples.

Long target droplet polymerase chain reaction with a microfluidic device for high-throughput detection of pathogenic bacteria at clinical sensitivity.

In this article we present a long target droplet polymerase chain reaction (PCR) microsystem for the amplification of the 16S ribosomal RNA gene. It is used for detecting Gram-positive and Gram-negative pathogens at high-throughput and is optimised for downstream species identification. The miniaturised device consists of three heating plates for denaturation, annealing and extension arranged to form a triangular prism. Around this prism a fluoropolymeric tubing is coiled, which represents the reactor. The source DNA was thermally isolated from bacterial cells without any purification, which proved the robustness of the system. Long target sequences up to 1.3 kbp from Staphylococcus aureus, Escherichia coli and Pseudomonas aeruginosa have successfully been amplified, which is crucial for the successive species classification with DNA microarrays at high accuracy. In addition to the kilobase amplicon, detection limits down to DNA concentrations equivalent to 10(2) bacterial cells per reaction were achieved, which qualifies the microfluidic device for clinical applications. PCR efficiency could be increased up to 2-fold and the total processing time was accelerated 3-fold in comparison to a conventional thermocycler. Besides this speed-up, the device operates in continuous mode with consecutive droplets, offering a maximal throughput of 80 samples per hour in a single reactor. Therefore we have overcome the trade-off between target length, sensitivity and throughput, existing in present literature. This qualifies the device for the application in species identification by PCR and microarray technology with high sample numbers. Moreover early diagnosis of infectious diseases can be implemented, allowing immediate species specific antibiotic treatment. Finally this can improve patient convalescence significantly.

Tumour auto-antibody screening: performance of protein microarrays using SEREX derived antigens.

BACKGROUND: The simplicity and potential of minimal invasive testing using serum from patients make auto-antibody based biomarkers a very promising tool for use in diagnostics of cancer and auto-immune disease. Although several methods exist for elucidating candidate-protein markers, immobilizing these onto membranes and generating so called macroarrays is of limited use for marker validation. Especially when several hundred samples have to be analysed, microarrays could serve as a good alternative since processing macro membranes is cumbersome and reproducibility of results is moderate. METHODS: Candidate markers identified by SEREX (serological identification of antigens by recombinant expression cloning) screenings of brain and lung tumour were used for macroarray and microarray production. For microarray production recombinant proteins were expressed in E. coli by autoinduction and purified His-tag (histidine-tagged) proteins were then used for the production of protein microarrays. Protein arrays were hybridized with the serum samples from brain and lung tumour patients. RESULT: Methods for the generation of microarrays were successfully established when using antigens derived from membrane-based selection. Signal patterns obtained by microarrays analysis of brain and lung tumour patients' sera were highly reproducible (R = 0.92-0.96). This provides the technical foundation for diagnostic applications on the basis of auto-antibody patterns. In this limited test set, the assay provided high reproducibility and a broad dynamic range to classify all brain and lung samples correctly. CONCLUSION: Protein microarray is an efficient means for auto-antibody-based detection when using SEREX-derived clones expressing antigenic proteins. Protein microarrays are preferred to macroarrays due to the easier handling and the high reproducibility of auto-antibody testing. Especially when using only a few microliters of patient samples protein microarrays are ideally suited for validation of auto-antibody signatures for diagnostic purposes.

Myocardial dysfunction and male mortality in peroxisome proliferator-activated receptor alpha knockout mice overexpressing lipoprotein lipase in muscle.

Free fatty acids (FFA) are liberated from triglyceride-rich lipoproteins by lipoprotein lipase (LPL) and are considered to be a principal energy source for the heart. The peroxisome proliferator-activated receptor alpha (PPARalpha) is a key regulator of FFA catabolism. To investigate its role in cardiac muscle metabolism, transgenic mice overexpressing LPL in skeletal and cardiac muscle were bred on a PPARalpha knockout background. Fifty-five percent of male animals lacking PPARalpha and overexpressing LPL died within 4 months after birth. In contrast, females of this genotype stayed alive. Deceased animals exhibited cardiopulmonary congestion but had no increase of neutral lipids in the heart. Changes in plasma glucose, FFA, lactate, and triglycerides did not clearly account for gender-specific differences in mortality; however, they indicated a critical role for PPARalpha during fasting. Analysis of cardiac function revealed that in isolated perfused hearts, left ventricular developed pressure (a measure of contractility) was markedly lower in PPARalpha knockout mice overexpressing LPL compared with controls. Glucose uptake of isolated perfused hearts was significantly higher in PPARalpha knockout mice with both normal or increased LPL expression. However, uptake of FFA was not different among genotypes. In contrast, fasted FFA levels were significantly lower in cardiac muscle of PPARalpha knockout mice with normal LPL expression (-26%) and PPARalpha knockout mice overexpressing LPL (-38%) compared with controls. Our results indicate a critical role for PPARalpha in myocardial pump function and suggest that mouse models combining different genetic effects such as PPARalpha knockout mice overexpressing muscle LPL may be useful to study cardiomyopathies.