THE ROLE OF PLATELETS IN OVARIAN CARCINOMA

Platelets represent one of the largest storage pools of angiogenic and oncogenic growth factors in the human body. The observation that thrombocytosis (platelet count >450,000/uL) occurs in patients with solid malignancies was made over 100 years ago. However, the clinical and biological implications as well as the underlying mechanism of paraneoplastic thrombocytosis associated with ovarian carcinoma remains unknown and were the focus of the current study. Following IRB approval, patient data were collected on 619 patients from 4 U.S. centers and used to test associations between platelet count at initial diagnosis, clinicopathologic factors, and outcome. In vitro effects of plasma-purified platelets on ovarian cancer cell proliferation, docetaxel-induced apoptosis, and migration were evaluated using BrdU-PI flow cytometric and two-chamber chemotaxis assays. In vivo effects of platelet depletion on tumor growth, proliferation, apoptosis, and angiogenesis were examined using an anti-platelet antibody (anti-mouse glycoprotein 1ba, Emfret) to reduce platelets by 50%. Complete blood counts and number of mature megakaryocytes in the spleen and bone marrow were compared between control mice and ovarian cancer-bearing mice. Plasma levels of key megakaryo- and thrombopoietic factors including thrombopoietin (TPO), IL-1a, IL-3, IL-4, IL-6, IL-11, G-CSF, GM-CSF, stem cell factor, and FLT-3 ligand were assayed in a subset of 150 patients at the time of initial diagnosis with advanced stage, high grade epithelial ovarian cancer using immunobead-based cytokine profiling coupled with the Luminex® xMAP platform. Plasma cytokines significantly associated with thrombocytosis in ovarian cancer patients were subsequently evaluated in mouse models of ovarian cancer using ELISA immunoassays. The results of human and mouse plasma cytokine profiling were used to inform subsequent in vivo studies evaluating the effect of siRNA-induced silencing of select megakaryo- and thrombopoietic cytokines on paraneoplastic thrombocytosis. Thirty-one percent of patients had thrombocytosis at initial diagnosis. Compared to patients with normal platelet counts, women with thrombocytosis were significantly more likely to have advanced stage disease (p<0.001) and poor median progression-free (0.94 vs 1.35 years, p<0.001) and overall survival (2.62 vs 4.65 years, p<0.001). On multivariate analysis, thrombocytosis remained an independent predictor of decreased overall survival. Our analysis revealed that thrombocytosis significantly increases the risk of VTE in ovarian cancer patients and that thrombocytosis is an independent predictor of increased mortality in women who do develop a blood clot. Platelets increased ovarian cancer cell proliferation and migration by 4.1- and 2.8-fold (p<0.01), respectively. Platelets reduced docetaxel-induced apoptosis in ovarian cancer cells by 2-fold (p<0.001). In vivo, platelet depletion reduced tumor growth by 50%. Staining of in vivo specimens revealed decreased tumor cell proliferation (p<0.001) and increased tumor and endothelial cell apoptosis (p<0.01). Platelet depletion also significantly decreased microvessel density and pericyte coverage (p<0.001). Platelet counts increase by 31-130% in mice with invasive ovarian cancer compared to controls (p<0.01) and strongly correlate with mean megakaryocyte counts in the spleen and bone marrow (r=0.95, p<0.05). Plasma levels of TPO, IL-6, and G-CSF were significantly increased in ovarian cancer patients with thrombocytosis. Plasma levels of the same cytokines were found to be significantly elevated in orthotopic mouse models of ovarian cancer, which consistently develop paraneoplastic thromocytosis. Silencing TPO, IL-6, and G-CSF significantly abrogated paraneoplastic thrombocytosis in vivo. This study provides new understanding of the clinical and biological significance of paraneoplastic thrombocytosis in ovarian cancer and uncovers key humoral factors driving this process. Blocking the development of paraneoplastic thrombocytosis and interfering with platelet-cancer cell interactions could represent novel therapeutic strategies.

Platelet-activating factor is crucial in psoralen and ultraviolet A-induced immune suppression, inflammation, and apoptosis.

Psoralen plus UVA (PUVA) is used as a very effective treatment modality for various diseases, including psoriasis and cutaneous T-cell lymphoma. PUVA-induced immune suppression and/or apoptosis are thought to be responsible for the therapeutic action. However, the molecular mechanisms by which PUVA acts are not well understood. We have previously identified platelet-activating factor (PAF), a potent phospholipid mediator, as a crucial substance triggering ultraviolet B radiation-induced immune suppression. In this study, we used PAF receptor knockout mice, a selective PAF receptor antagonist, a COX-2 inhibitor (presumably blocking downstream effects of PAF), and PAF-like molecules to test the role of PAF receptor binding in PUVA treatment. We found that activation of the PAF pathway is crucial for PUVA-induced immune suppression (as measured by suppression of delayed type hypersensitivity to Candida albicans) and that it plays a role in skin inflammation and apoptosis. Downstream of PAF, interleukin-10 was involved in PUVA-induced immune suppression but not inflammation. Better understanding of PUVA's mechanisms may offer the opportunity to dissect the therapeutic from the detrimental (ie, carcinogenic) effects and/or to develop new drugs (eg, using the PAF pathway) that act like PUVA but have fewer side effects.

Reduced neutrophil count in people of African descent is due to a regulatory variant in the Duffy antigen receptor for chemokines gene.

Persistently low white blood cell count (WBC) and neutrophil count is a well-described phenomenon in persons of African ancestry, whose etiology remains unknown. We recently used admixture mapping to identify an approximately 1-megabase region on chromosome 1, where ancestry status (African or European) almost entirely accounted for the difference in WBC between African Americans and European Americans. To identify the specific genetic change responsible for this association, we analyzed genotype and phenotype data from 6,005 African Americans from the Jackson Heart Study (JHS), the Health, Aging and Body Composition (Health ABC) Study, and the Atherosclerosis Risk in Communities (ARIC) Study. We demonstrate that the causal variant must be at least 91% different in frequency between West Africans and European Americans. An excellent candidate is the Duffy Null polymorphism (SNP rs2814778 at chromosome 1q23.2), which is the only polymorphism in the region known to be so differentiated in frequency and is already known to protect against Plasmodium vivax malaria. We confirm that rs2814778 is predictive of WBC and neutrophil count in African Americans above beyond the previously described admixture association (P = 3.8 x 10(-5)), establishing a novel phenotype for this genetic variant.

Stromal derived growth factor alpha (SDF-1α) induces the differentiation of bone marrow progenitor cells (BMCs) into pericytes by regulating platelet derived growth factor B (PDGF-B) transcription

We previously demonstrated that bone marrow cells (BMCs) migrate to TC71 and A4573 Ewing’s sarcoma tumors where they can differentiate into endothelial cells (ECs) and pericytes and, participate in the tumor vascular development. This process of neo-vascularization, known as vasculogenesis, is essential for Ewing’s sarcoma growth with the soluble vascular endothelial growth factor, VEGF165, being the chemotactic factor for BMC migration to the tumor site. Inhibiting VEGF165 in TC71 tumors (TC/siVEGF7-1) inhibited BMC infiltration to the tumor site and tumor growth. Introducing the stromal-derived growth factor (SDF-1α) into the TC/siVEGF7-1 tumors partially restored vasculogenesis with infiltration of BMCs to a perivascular area where they differentiated into pericytes and rescued tumor growth. RNA collected from the SDF-1α-treated TC/siVEGF7-1 tumors also revealed an increase in platelet-derived growth factor B (PDGF-B) mRNA levels. PDGF-B expression is elevated in several cancer types and the role of PDGF-B and its receptor, PDGFR-β, has been extensively described in the process of pericyte maturation. However, the mechanisms by which PDGF-B expression is up-regulated during vascular remodeling and the process by which BMCs differentiate into pericytes during tumor vasculogenesis remain areas of investigation. In this study, we are the first to demonstrate that SDF-1α regulates the expression of PDGF-B via a transcriptional mechanism which involves binding of the ELK-1 transcription factor to the pdgf-b promoter. We are also first to validate the critical role of the SDF-1α/PDGF-B pathway in the differentiation of BMCs into pericytes both in vitro and in vivo. SDF-1α up-regulated PDGF-B expression in both TC/siVEGF7-1 and HEK293 cells. In contrast, down-regulating SDF-1α, down-regulated PDGF-B. We cloned the 2 kb pdgf-b promoter fragment into the pGL3 reporter vector and showed that SDF-1α induced pdgf-b promoter activity. We used chromatin immunoprecipitation (ChIP) and demonstrated that the ELK-1 transcription factor bound to the pdgf-b promoter in response to SDF-1α stimulation in both TC/siVEGF7-1 and HEK293 cells. We collected BMCs from the hind femurs of mice and cultured the cells in medium containing SDF-1α and PDGF-B and found that PDGFR-β+ BMCs differentiated into NG2 and desmin positive pericytes in vitro. In contrast, inhibiting SDF-1α and PDGF-B abolished this differentiation process. In vivo, we injected TC71 or A4573 tumor-bearing mice with the SDF-1α antagonist, AMD3100 and found that inhibiting SDF-1α signaling in the tumor microenvironment decreased the tumor microvessel density, decreased the tumor blood vessel perfusion and, increased tumor cell apoptosis. We then analyzed the effect of AMD3100 on vasculogenesis of Ewing’s sarcoma and found that BMCs migrated to the tumor site where they differentiated into ECs but, they did not form thick perivascular layers of NG2 and desmin positive pericytes. Finally, we stained the AMD3100-treated tumors for PDGF-B and showed that inhibiting SDF-1α signaling also inhibited PDGF-B expression. All together, these findings demonstrated that the SDF-1α/PDGF-B pathway plays a critical role in the formation of BM-derived pericytes during vasculogenesis of Ewing’s sarcoma tumors.

Design and analysis for three level hierarchical structures with count response

In numerous intervention studies and education field trials, random assignment to treatment occurs in clusters rather than at the level of observation. This departure of random assignment of units may be due to logistics, political feasibility, or ecological validity. Data within the same cluster or grouping are often correlated. Application of traditional regression techniques, which assume independence between observations, to clustered data produce consistent parameter estimates. However such estimators are often inefficient as compared to methods which incorporate the clustered nature of the data into the estimation procedure (Neuhaus 1993).1 Multilevel models, also known as random effects or random components models, can be used to account for the clustering of data by estimating higher level, or group, as well as lower level, or individual variation. Designing a study, in which the unit of observation is nested within higher level groupings, requires the determination of sample sizes at each level. This study investigates the design and analysis of various sampling strategies for a 3-level repeated measures design on the parameter estimates when the outcome variable of interest follows a Poisson distribution. ^ Results study suggest that second order PQL estimation produces the least biased estimates in the 3-level multilevel Poisson model followed by first order PQL and then second and first order MQL. The MQL estimates of both fixed and random parameters are generally satisfactory when the level 2 and level 3 variation is less than 0.10. However, as the higher level error variance increases, the MQL estimates become increasingly biased. If convergence of the estimation algorithm is not obtained by PQL procedure and higher level error variance is large, the estimates may be significantly biased. In this case bias correction techniques such as bootstrapping should be considered as an alternative procedure. For larger sample sizes, those structures with 20 or more units sampled at levels with normally distributed random errors produced more stable estimates with less sampling variance than structures with an increased number of level 1 units. For small sample sizes, sampling fewer units at the level with Poisson variation produces less sampling variation, however this criterion is no longer important when sample sizes are large. ^ 1Neuhaus J (1993). “Estimation efficiency and Tests of Covariate Effects with Clustered Binary Data”. Biometrics , 49, 989–996^

The normal range of the leukocyte count: Implications for surveillance of occupational and environmental exposure and the practice of preventive medicine

Leukopenia, the leukocyte count, and prognosis of disease are interrelated; a systematic search of the literature was undertaken to ascertain the strength of the evidence. One hundred seventy-one studies were found from 1953 onward pertaining to the predictive capabilities of the leukocyte count. Of those studies, 42 met inclusion criteria. An estimated range of 2,200cells/μL to 7,000cells/μL was determined as that which indicates good prognosis in disease and indicates the least amount of risk to an individual overall. Tables of the evidence are included indicating the disparate populations examined and the possible degree of association. ^

Organization and function of platelet glycoprotein Ib-IX complex

Glycoprotein (GP) Ib-IX complex, the second most abundant receptor expressed on the platelet surface, plays critical roles in haemostasis and thrombosis by binding to its ligand, von Willebrand factor (vWF). Defect or malfunction of the complex leads to severe bleeding disorders, heart attack or stroke. Comprised of three type I transmembrane subunits—GPIbα, GPIbβ and GPIX, efficient expression of the GPIb-IX complex requires all three subunits, as evident from genetic mutations identified in the patients and reproduced in transfected Chinese hamster ovary (CHO) cells. However, how the subunits are assembled together and how the complex function is regulated is not fully clear. By probing the interactions among the three subunits in transfected cells, we have demonstrated that the transmembrane domains of the three subunits interact with one another, facilitating formation of the two membrane-proximal disulfide bonds between GPIbα and GPIbβ. We have also identified the interface between extracellular domains of GPIbβ and GPIX, and provided evidence suggesting a direct interaction between extracellular domains of GPIbα and GPIX. All of these interactions are not only critical for correct assembly and consequently efficient expression of the GPIb-IX complex on the cell surface, but also for its function, such as the proper ligand binding, since removing the two inter-subunit disulfide bonds significantly hampers vWF binding to the complex under both static and physiological flow conditions. The two inter-subunit disulfide bonds are also critical for regulating the ectodomain shedding of GPIbα by the GPIbβ cytoplasmic domain. Mutations in the juxtamembrane region of the GPIbβ cytoplasmic domain deregulate GPIbα shedding, and such deregulation is further enhanced when the two inter-subunit disulfide bonds are removed. In summary, we have established the overall organization of the GPIb-IX complex, and the importance of proper organization on its function. ^

Determinants of CD4 cell count decline after treatment interruption

Patients who had started HAART (Highly Active Anti-Retroviral Treatment) under previous aggressive DHHS guidelines (1997) underwent a life-long continuous HAART that was associated with many short term as well as long term complications. Many interventions attempted to reduce those complications including intermittent treatment also called pulse therapy. Many studies were done to study the determinants of rate of fall in CD4 count after interruption as this data would help guide treatment interruptions. The data set used here was a part of a cohort study taking place at the Johns Hopkins AIDS service since January 1984, in which the data were collected both prospectively and retrospectively. The patients in this data set consisted of 47 patients receiving via pulse therapy with the aim of reducing the long-term complications. ^ The aim of this project was to study the impact of virologic and immunologic factors on the rate of CD4 loss after treatment interruption. The exposure variables under investigation included CD4 cell count and viral load at treatment initiation. The rates of change of CD4 cell count after treatment interruption was estimated from observed data using advanced longitudinal data analysis methods (i.e., linear mixed model). Using random effects accounted for repeated measures of CD4 per person after treatment interruption. The regression coefficient estimates from the model was then used to produce subject specific rates of CD4 change accounting for group trends in change. The exposure variables of interest were age, race, and gender, CD4 cell counts and HIV RNA levels at HAART initiation. ^ The rate of fall of CD4 count did not depend on CD4 cell count or viral load at initiation of treatment. Thus these factors may not be used to determine who can have a chance of successful treatment interruption. CD4 and viral load were again studied by t-tests and ANOVA test after grouping based on medians and quartiles to see any difference in means of rate of CD4 fall after interruption. There was no significant difference between the groups suggesting that there was no association between rate of fall of CD4 after treatment interruption and above mentioned exposure variables. ^

The combined effect of pravastatin and aspirin on clinical cardiovascular events

The 3-hydroxy-3methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors, or statins, can achieve significant reductions in plasma low-density lipoprotein (LDL)-cholesterol levels. Experimental and clinical evidence now shows that some statins interfere with formation of atherosclerotic lesions independent of their hypolipidemic properties. Vulnerable plaque rupture can result in thrombus formation and artery occlusion; this plaque deterioration is responsible for most acute coronary syndromes, including myocardial infarction (MI), unstable angina, and coronary death, as well as coronary heart diseaseequivalent non-hemorrhagic stroke. Inhibition of HMG-CoA reductase has potential pleiotropic effects other than lipid-lowering, as statins block mevalonic acid production, a precursor to cholesterol and numerous other metabolites. Statins' beneficial effects on clinical events may also thus involve nonlipid-related mechanisms that modify endothelial function, inflammatory responses, plaque stability, and thrombus formation. Aspirin, routinely prescribed to post-MI patients as adjunct therapy, may potentiate statins beneficial effects, as aspirin does not compete metabolically with statins but acts similarly on atherosclerotic lesions. Common functions of both medications include inhibition of platelet activity and aggregation, reduction in atherosclerotic plaque macrophage cell count, and prevention of atherosclerotic vessel endothelial dysfunction. The Cholesterol and Recurrent Events (CARE) trial provides an ideal population in which to examine the combined effects of pravastatin and aspirin. Lipid levels, intermediate outcomes, are examined by pravastatin and aspirin status, and differences between the two pravastatin groups are found. A modified Cox proportional-hazards model with aspirin as a time-dependent covariate was used to determine the effect of aspirin and pravastatin on the clinical cardiovascular composite endpoint of coronary heart disease death, recurrent MI or stroke. Among those assigned to pravastatin, use of aspirin reduced the composite primary endpoint by 35%; this result was similar by gender, race, and diabetic status. Older patients demonstrated a nonsignificant 21% reduction in the primary outcome, whereas the younger had a significant reduction of 43% in the composite primary outcome. Secondary outcomes examined include coronary artery bypass graft (38% reduction), nonsurgical bypass, peripheral vascular disease, and unstable angina. Pravastatin and aspirin in a post-MI population was found to be a beneficial combination that seems to work through lipid and nonlipid, anti-inflammatory mechanisms. ^

The association between CD4+ lymphocyte count and measures of body composition in HIV-infected men

Purpose. This project was designed to describe the association between wasting and CD4 cell counts in HIV-infected men in order to better understand the role of wasting in progression of HIV infection.^ Methods. Baseline and prevalence data were collected from a cross-sectional survey of 278 HIV-infected men seen at the Houston Veterans Affairs Medical Center Special Medicine Clinic, from June 1, 1991 to January 1, 1994. A follow-up study was conducted among those at risk, to investigate the incidence of wasting and the association between wasting and low CD4 cell counts. Wasting was described by four methods. Z-scores for age-, sex-, and height-adjusted weight; sex-, and age-adjusted mid-arm muscle circumference (MAMC); and fat-free mass; and the ratio of extra-cellular mass (ECM) to body-cell mass (BCM) $>$ 1.20. FFM, ECM, and BCM were estimated from bioelectrical impedance analysis. MAMC was calculated from triceps skinfold and mid-arm circumference. The relationship between wasting and covariates was examined with logistic regression in the cross-sectional study, and with Poisson regression in the follow-up study. The association between death and wasting was examined with Cox's regression.^ Results. The prevalence of wasting ranged from 5% (weight and ECM:BCM) to almost 14% (MAMC and FFM) among the 278 men examined. The odds of wasting, associated with baseline CD4 cell count $<$200, was significant for each method but weight, and ranged from 4.6 to 12.7. Use of antiviral therapy was significantly protective of MAMC, FFM and ECM:BCM (OR $\approx$ 0.2), whereas the need for antibacterial therapy was a risk (OR 3.1, 95% CI 1.1-8.7). The average incidence of wasting ranged from 4 to 16 per 100 person-years among the approximately 145 men followed for 160 person-years. Low CD4 cell count seemed to increase the risk of wasting, but statistical significance was not reached. The effect of the small sample size on the power to detect a significant association should be considered. Wasting, by MAMC and FFM, was significantly associated with death, after adjusting for baseline serum albumin concentration and CD4 cell count.^ Conclusions. Wasting by MAMC and FFM were strongly associated with baseline CD4 cell counts in both the prevalence and incidence study and strong predictors of death. Of the two methods, MAMC is convenient, has available reference population data, may be the most appropriate for assessing the nutritional status of HIV-infected men. ^

CHARACTERIZATION OF THE COUNT RATE PERFORMANCE AND EVALUATION OF THE EFFECTS OF HIGH COUNT RATES ON MODERN GAMMA CAMERAS

CHARACTERIZATION OF THE COUNT RATE PERFORMANCE AND EVALUATION OF THE EFFECTS OF HIGH COUNT RATES ON MODERN GAMMA CAMERAS Michael Stephen Silosky, B.S. Supervisory Professor: S. Cheenu Kappadath, Ph.D. Evaluation of count rate performance (CRP) is an integral component of gamma camera quality assurance and measurement of system dead time (τ) is important for quantitative SPECT. The CRP of three modern gamma cameras was characterized using established methods (Decay and Dual Source) under a variety of experimental conditions. For the Decay method, input count rate was plotted against observed count rate and fit to the paralyzable detector model (PDM) to estimate τ (Rates method). A novel expression for observed counts as a function of measurement time interval was derived and the observed counts were fit to this expression to estimate τ (Counts method). Correlation and Bland-Altman analysis were performed to assess agreement in estimates of τ between methods. The dependencies of τ on energy window definition and incident energy spectrum were characterized. The Dual Source method was also used to estimate τ and its agreement with the Decay method under identical conditions and the effects of total activity and the ratio of source activities were investigated. Additionally, the effects of count rate on several performance metrics were evaluated. The CRP curves for each system agreed with the PDM at low count rates but deviated substantially at high count rates. Estimates of τ for the paralyzable portion of the CRP curves using the Rates and Counts methods were highly correlated (r=0.999) but with a small (~6%) difference. No significant difference was observed between the highly correlated estimates of τ using the Decay or Dual Source methods under identical experimental conditions (r=0.996). Estimates of τ increased as a power-law function with decreasing ratio of counts in the photopeak to the total counts and linearly with decreasing spectral effective energy. Dual Source method estimates of τ varied as a quadratic with the ratio of the single source to combined source activities and linearly with total activity used across a large range. Image uniformity, spatial resolution, and energy resolution degraded linearly with count rate and image distorting effects were observed. Guidelines for CRP testing and a possible method for the correction of count rate losses for clinical images have been proposed.

The role of platelet -derived growth factor (PDGF) signaling in gliomagenesis

Gliomas are primary central nervous system (CNS) neoplasms that are believed to arise from astrocytes, oligodendrocytes or their precursors. Gliomas can be classified into two major histopathological groups: oligodendroglial and astroglial tumors. The most malignant of the astroglial tumors is glioblastoma multiforme (GBM). A great deal of genetic and epigenetic alterations have been implicated in gliomagenesis. In particular, PDGF signaling is frequently over-activated in a large number of human gliomas. In order to gain insights into the biology of gliomas, we manage to model human gliomas in mice using a somatic gene transfer approach—RCAS/TVA system. In our previous study, combined activation of AKT and RAS pathways gave rise to glioblastomas from CNS progenitors. In the present study, we demonstrate that in vivo autocrine PDGF stimulation induces oligodendrogliomas and mixed oligoastrocytomas from CNS progenitors and differentiated astrocytes respectively. In culture autocrine PDGF stimulation dedifferentiates astrocytes into progenitor-like cells and blockade of PDGF signaling reverses these phenotypic changes. Experimental disruption of cell cycle arrest pathway, such as Ink4a-Arf loss, is not required for the initiation of PDGF-induced gliomagenesis; instead, this mutation contributes to the tumor progression by enhancing tumor malignancy and shortening tumor latency. P53 deficiency does not promote the PDGF-induced gliomagenesis. In addition, 1p and 19q, often deleted in human oligodendrogliomas, remain intact in these PDGF-induced gliomas. Therefore, our studies suggest that autocrine PDGF stimulation alone may be sufficient to induce gliomagenesis. In contrast to transient stimulation in vitro, constitutive PDGF stimulation activates neither AKT nor RAS/MAPK pathways during gliomagenesis. This results in the formation of oligodendrogliomas, instead of glioblastomas. Sustained activation of the AKT pathway converts PDGF-induced oligodendrogliomas into astrocytomas. Our studies suggest that constitutive PDGF stimulation is not equivalent to transient PDGF stimulation, and that a transition between oligodendroglial and astroglial tumors in humans may be possible, depending on additional alterations. In summary, PDGF signaling plays a pivotal role in gliomagenesis in the mouse, and its hyperactivity is capable of contributing to both oligodendroglial and astroglial tumorigenesis. ^

Ultraviolet radiation modulates the immune system through the platelet -activating factor receptor

Ultraviolet radiation plays a critical role in the induction of non-melanoma skin cancer. UV radiation is also immune suppressive. Moreover, UV-induced systemic immune suppression is a major risk factor for skin cancer induction. Previous work had shown that UV exposure in vivo activates a cytokine cascade involving PGE2, IL-4, and IL-10 that induces immune suppression. However, the earliest molecular events that occur immediately after UV-exposure, especially those upstream of PGE2, were not well defined. To determine the initial events and mediators that lead to immune suppression after a pathological dose of UV, mouse keratinocytes were analyzed after sunlamp irradiation. It is known that UV-irradiated keratinocytes secrete the phospholipid mediator of inflammation, platelet-activating factor (PAF). Since PAF stimulates the production of immunomodulatory compounds, including PGE2, the hypothesis that UV-induced PAF activates cytokine production and initiates UV-induced immune suppression was tested. Both UV and PAF activated the transcription of cyclooxygenase (COX)-2 and IL-10 reporter gene constructs. A PAF receptor antagonist blocked UV-induced IL, 10 and COX-2 transcription. PAF mimicked the effects of UV in vivo and suppressed delayed-type hypersensitivity (DTH), and immune suppression was blocked when UV-irradiated mice were injected with a PAF receptor antagonist. This work shows that UV generates PAF-like oxidized lipids, that signal through the PAF receptor, activate cytokine transcription, and induce systemic immune suppression. ^