Deletion of 12/15-lipoxygenase alters macrophage and islet function in NOD-Alox15(null) mice, leading to protection against type 1 diabetes development.

AIMS: Type 1 diabetes (T1D) is characterized by autoimmune depletion of insulin-producing pancreatic beta cells. We showed previously that deletion of the 12/15-lipoxygenase enzyme (12/15-LO, Alox15 gene) in NOD mice leads to nearly 100 percent protection from T1D. In this study, we test the hypothesis that cytokines involved in the IL-12/12/15-LO axis affect both macrophage and islet function, which contributes to the development of T1D. METHODS: 12/15-LO expression was clarified in immune cells by qRT-PCR, and timing of expression was tested in islets using qRT-PCR and Western blotting. Expression of key proinflammatory cytokines and pancreatic transcription factors was studied in NOD and NOD-Alox15(null) macrophages and islets using qRT-PCR. The two mouse strains were also assessed for the ability of splenocytes to transfer diabetes in an adoptive transfer model, and beta cell mass. RESULTS: 12/15-LO is expressed in macrophages, but not B and T cells of NOD mice. In macrophages, 12/15-LO deletion leads to decreased proinflammatory cytokine mRNA and protein levels. Furthermore, splenocytes from NOD-Alox15(null) mice are unable to transfer diabetes in an adoptive transfer model. In islets, expression of 12/15-LO in NOD mice peaks at a crucial time during insulitis development. The absence of 12/15-LO results in maintenance of islet health with respect to measurements of islet-specific transcription factors, markers of islet health, proinflammatory cytokines, and beta cell mass. CONCLUSIONS: These results suggest that 12/15-LO affects islet and macrophage function, causing inflammation, and leading to autoimmunity and reduced beta cell mass.

The search for biomarkers of human embryo developmental potential in IVF: a comprehensive proteomic approach.

The objective of these studies was to identify differentially expressed peptides/proteins in the culture media of embryos grown during in vitro fertilization (IVF) treatment to establish their value as biomarkers predictive of implantation potential and live birth. Micro-droplets of embryo culture media from IVF patients (conditioned) and control media maintained under identical culture conditions were collected and frozen at -80°C on Days 2-3 of in vitro development prior to analysis. The embryos were transferred on Day 3. The peptides were affinity purified based on their physico-chemical properties and profiled by mass spectrometry for differential expression. The identified proteins were further characterized by western blot and ELISA, and absolute quantification was achieved by multiple reaction monitoring (MRM). We identified up to 14 differentially regulated peptides after capture using paramagnetic beads with different affinities. These differentially expressed peptides were used to generate genetic algorithms (GAs) with a recognition capability of 71-84% for embryo transfer cycles resulting in pregnancy and 75-89% for those with failed implantation. Several peptides were further identified as fragments of Apolipoprotein A-1, which showed consistent and significantly reduced expression in the embryo media samples from embryo transfer cycles resulting in viable pregnancies. Western blot and ELISA, as well as quantitative MRM results, were confirmatory. These results demonstrated that peptide/protein profiles from the culture medium during early human in vitro development can discriminate embryos with highest and lowest implantation competence following uterine transfer. Further prospective studies are needed to establish validated thresholds for clinical application.

12/15-Lipoxygenase signaling in the endoplasmic reticulum stress response.

Central obesity is associated with chronic inflammation, insulin resistance, ß-cell dysfunction, and endoplasmic reticulum (ER) stress. The 12/15-lipoxygenase enzyme (12/15-LO) promotes inflammation and insulin resistance in adipose and peripheral tissues. Given that obesity is associated with ER stress and 12/15-LO is expressed in adipose tissue, we determined whether 12/15-LO could mediate ER stress signals. Addition of 12/15-LO lipid products 12(S)-HETE and 12(S)-HPETE to differentiated 3T3-L1 adipocytes induced expression and activation of ER stress markers, including BiP, XBP-1, p-PERK, and p-IRE1α. The ER stress inducer, tunicamycin, upregulated ER stress markers in adipocytes with concomitant 12/15-LO activation. Addition of a 12/15-LO inhibitor, CDC, to tunicamycin-treated adipocytes attenuated the ER stress response. Furthermore, 12/15-LO-deficient adipocytes exhibited significantly decreased tunicamycin-induced ER stress. 12/15-LO action involves upregulation of interleukin-12 (IL-12) expression. Tunicamycin significantly upregulated IL-12p40 expression in adipocytes, and IL-12 addition increased ER stress gene expression; conversely, LSF, an IL-12 signaling inhibitor, and an IL-12p40-neutralizing antibody attenuated tunicamycin-induced ER stress. Isolated adipocytes and liver from 12/15-LO-deficient mice fed a high-fat diet revealed a decrease in spliced XBP-1 expression compared with wild-type C57BL/6 mice on a high-fat diet. Furthermore, pancreatic islets from 12/15-LO-deficient mice showed reduced high-fat diet-induced ER stress genes compared with wild-type mice. These data suggest that 12/15-LO activity participates in ER stress in adipocytes, pancreatic islets, and liver. Therefore, reduction of 12/15-LO activity or expression could provide a new therapeutic target to reduce ER stress and downstream inflammation linked to obesity.

On-tissue identification of insulin: in situ reduction coupled with mass spectrometry imaging.

PURPOSE: The aim of this study was to use on-tissue reduction followed by MALDI-MS imaging (MSI) to identify an m/z 5812.85 peak, which is over-expressed in healthy human pancreatic tissue compared with type one Diabetes (T1D) tissue. EXPERIMENTAL DESIGN: A major constraint of MALDI-MSI is identification of compounds with m/z ≥4000. On-tissue reduction using tris (2-carboxyethyl) phosphine (TCEP) breaks the inter-domain disulphide bonds generating low-molecular-weight peptides amenable to direct MS/MS analysis. Pancreatic tissues from healthy (n=4) and diabetic subjects (n=4) were profiled by MALDI-MSI with/without reduction. RESULTS: On-tissue reduction resulted in the loss of the over-expressed 5812.85 m/z peak and the simultaneous appearance of a 3430.664 m/z peak in healthy tissues. The latter peak presumably derived from the 5812.85 m/z peak was identified as the insulin B chain by MS/MS. MALDI-MSI images show that both the 5812.85 insulin peak before reduction and the 3430.664 peak after reduction co-localized with the healthy pancreatic islets. CONCLUSION AND CLINICAL RELEVANCE: On-tissue reduction followed by MALDI-MSI resulted in the identification of insulin and localization of pancreatic islets of langerhans. The approach will be useful in the future identification of novel therapeutic molecular targets to ß-cells lost during type one diabetes.

The identification of serum biomarkers of high-let radiation exposure and biological sequelae.

In the event of a nuclear detonation, thousands of people will be exposed to non-lethal radiation doses. There are multiple long-term health concerns for exposed individuals who receive non-lethal radiation exposures. Low doses of radiation, especially of high linear energy transfer (LET) radiation, can lead to the development of neurocognitive defects. The identification of serum biomarkers that can be used to monitor the emergence of the long-term biological sequelae of radiation exposure, such as neurocognitive defects, would greatly help the post-exposure health monitoring of the affected population. The authors have determined the impact that cranial irradiation with 2 Gy of high LET (150 keV um) has on the ability of rats to perform spatial memory tasks, and identified serum protein changes that are biomarkers of radiation exposure and of radiation-induced neurocognitive impairment. Matrix Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectroscopy (MALDI TOF-TOF) analysis of weak cation exchange (WCX) enriched serum protein preparations identified 23 proteins of interest: 10 were biomarkers of physical radiation dose, with six showing increased expression and four being undetectable in the irradiated rat serum. Four proteins were uniquely expressed in those rats that had good spatial memory and nine proteins were markers of bad spatial memory. This study provides proof of the concept that serum protein profiling can be used to identify biomarkers of radiation exposure and the emergence of radiation-sequelae in this rat model, and this approach could be easily applied to other systems to identify radiation biomarkers.

Serum biomarkers to differentiate benign and malignant mammographic lesions.

BACKGROUND: Mammographic screening has increased detection of earlier-stage breast cancers and has decreased mortality from breast cancer. A Breast Imaging-Reporting and Data System (BIRADS) 4 classification prompts a biopsy that most often reveals benign disease. Our objective was to determine if serum protein-expression profiles could be used to differentiate between benign and malignant mammographic lesions. STUDY DESIGN: After IRB approval, women undergoing an image-guided biopsy for a BIRADS category 4 lesion were recruited. Serum was collected prebiopsy and labeled retrospectively after final pathology was reviewed. Serum was incubated with weak cation exchange magnetic beads and assayed in duplicate for analysis on matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) instrumentation (Bruker Daltonics). Spectra were analyzed using ClinProTools 2.0 software (Bruker Daltonics), and classifications determined using a genetic-clustering algorithm. RESULTS: In a 14-month period, 260 subjects were recruited into this study. Sera from 92 subjects were randomly selected to form benign (n = 46) and cancer (n = 46) cohorts. The MALDI-TOF spectra analysis yielded 273 peaks, with 14 peaks expressed differentially (p < 0.05) between the cancer and benign cohorts. A genetic algorithm model was generated, yielding a sensitivity of 88.3% and specificity of 85.8%. CONCLUSIONS: MALDI-TOF protein-expression profiles generated from BIRADS 4 sera could be used to distinguish between benign and malignant mammographic lesions.