Expression and ligand binding of bombesin receptors in pulmonary and intestinal carcinoids.

INTRODUCTION: Carcinoids are mainly found in the gastrointestinal (65%) and bronchopulmonary tract (25%). These neuroendocrine tumors secrete a wide range of bioactive peptides, including gastrin releasing peptide and neuromedin B, the mammalian analogs of bombesin. The purpose of this study was to investigate the quantity and localization of bombesin receptors in gastrointestinal and pulmonary carcinoids, and to reveal whether bombesin-like peptides (BLP) and their receptors are of any value in distinguishing pulmonary carcinoids from carcinoids of intestinal origin. METHODS: Carcinoid tumors with pulmonary (no.=9) or intestinal (no.=15) localizations were analyzed by immunohistochemistry, autoradiography, and radioimmunoassay, to examine the presence of bombesin receptor subtypes and determine BLP levels in these tumors. RESULTS: All 3 bombesin receptor subtypes (GRPR, NMBR, and BRS-3) were present on pulmonary and intestinal carcinoids by immunohistochemistry. In pulmonary carcinoids, low receptor ligand binding densities together with high and low BLP levels were found. Intestinal carcinoids showed predominantly high receptor ligand binding densities in combination with low BLP levels. CONCLUSIONS: The expression of bombesin receptor subtypes is independent from the carcinoid tumor origin, and is therefore not recommended as a distinction marker, although carcinoids of pulmonary and intestinal origin possess different receptor binding affinities for bombesin and dissimilar BLP levels. The combined presence of bombesin and its receptors might suggest the presence of a paracrine or autocrine growth loop in carcinoids.

A review of machine learning in obesity.

Rich sources of obesity-related data arising from sensors, smartphone apps, electronic medical health records and insurance data can bring new insights for understanding, preventing and treating obesity. For such large datasets, machine learning provides sophisticated and elegant tools to describe, classify and predict obesity-related risks and outcomes. Here, we review machine learning methods that predict and/or classify such as linear and logistic regression, artificial neural networks, deep learning and decision tree analysis. We also review methods that describe and characterize data such as cluster analysis, principal component analysis, network science and topological data analysis. We introduce each method with a high-level overview followed by examples of successful applications. The algorithms were then applied to National Health and Nutrition Examination Survey to demonstrate methodology, utility and outcomes. The strengths and limitations of each method were also evaluated. This summary of machine learning algorithms provides a unique overview of the state of data analysis applied specifically to obesity.

Invasive and metastatic capacity of revertants of LFA-1-deficient mutant T-cell hybridomas.

From the highly metastatic TAM2D2 T-cell hybridoma we have previously generated three independent mutants that were deficient in the surface expression of the adhesion molecule Leukocyte Function-associated Antigen 1 (LFA-1). Both the invasive capacity and the metastatic potential of these mutants were greatly reduced compared with TAM2D2 cells (F.F. Roossien et al., J. Cell Biol., 108: 1979-1985, 1989). We now show that, during in vivo transplantation, LFA-1 is reinduced in these mutants. From such revertant cell populations obtained after two to three i.p. passages, we isolated clones with different LFA-1 levels. Of each of the three mutant cell lines, the clone with the highest and the one with the lowest LFA-1 level were selected for further study. Invasiveness in fibroblast monolayers correlated strongly with LFA-1 level; i.e., the low-LFA-1 clones (mean LFA level, approximately 10% of TAM2D2) invaded as poorly as the original mutants, whereas the high-LFA-1 clones (greater than 25% of TAM2D2) were highly invasive. Metastatic potential was determined after tail vein injection of 10(6) cells in syngeneic AKR mice. A difference was observed between high- and low-LFA-1 clones, albeit less striking than previously found between LFA-1-negative mutants and parental TAM2D2 cells. The high-LFA-1 clones developed metastases in more mice (76 versus 43%) and earlier (mean survival, 30 versus 37 days). These results provide further evidence for an important role of LFA-1 in invasion and metastasis of mouse T-cell hybridomas.

Reduction of immunosuppressive load in renal transplant recipients with a low donor-specific cytotoxic T-lymphocyte precursor frequency is safe.

BACKGROUND: Tapering of immunosuppressive medication is indicated to prevent long-term side effects. Recently, we have shown that renal transplant recipients can safely be converted from calcineurin inhibitors to MMF or AZA when their donor-specific cytotoxic T-lymphocyte precursor frequencies (CTLpf) are below 10/10(6) PBMC. We wondered whether a low CTLpf also had predictive value when immunosuppressive medication was reduced in patients only on MMF or AZA and steroid medication. METHODS: Renal transplant recipients with stable renal function at least 2 years after transplantation and with low (<10/10(6) PBMC) CTLpf were included. Their MMF or AZA dose was reduced to 75% and to 50% of the original dose at 4 months and 8 months after inclusion. Endpoint of the study was 12 months after inclusion or developing acute rejection. RESULTS: Forty-five patients have reached the 1-year follow up endpoint. Their median time after transplantation was 4.2 years (range 2.0-15.5 years). Acute rejection was seen in one patient only (who had discontinued all his medication). CONCLUSION: In patients with low CTLpf long after kidney transplantation, a 50% reduction of immunosuppression is safe and further decreasing their immunosuppressive load is the obvious next step.

Donor-specific T-cell reactivity identifies kidney transplant patients in whom immunosuppressive therapy can be safely reduced.

BACKGROUND: To reduce the side effects of long-term immunosuppressive therapy, stable renal transplant patients were routinely converted from cyclosporine to either azathioprine or mycophenolate mofetil. Thereafter, the azathioprine and mycophenolate mofetil dose was reduced to 75% at 4 months and to 50% at 8 months after conversion. We questioned whether the T-cell reactivity before conversion was able to predict which patients could be safely converted and tapered in their immunosuppressive load, while remaining free from acute rejection. METHODS: Before conversion, the T-cell reactivity of peripheral blood mononuclear cells against donor and third-party spleen cells were tested in mixed lymphocyte cultures. We measured the frequency of donor and third-party reactive helper T-lymphocyte (HTLpf) and cytotoxic T-lymphocyte (CTLpf) precursors and their avidity for HLA class I antigens using limiting dilution analysis. Peripheral blood mononuclear cells were also stimulated with tetanus toxoid to test the general immune response. RESULTS: The tetanus toxoid response, reactivity to donor and third-party cells as measured in mixed lymphocyte cultures and HTLpf, and the avidity of cytotoxic T-lymphocyte precursors were not predictive for the development of acute rejection. However, significant differences were found in donor-specific CTLpf before conversion, between patients with and without acute rejection after conversion in immunosuppression. The donor-specific CTLpf was significantly lower in patients without compared to those with acute rejection (P=0.01). Additionally, when no CTLpf was detectable before conversion, acute rejection did not occur after conversion. Acute rejection was only diagnosed in patients with detectable CTLpf before conversion. CONCLUSION: The number of donor-specific cytotoxic T-lymphocytes identifies patients in whom the immunosuppressive load can be safely reduced.

Pretransplant donor-specific helper T cell reactivity as a tool for tailoring the individual need for immunosuppression.

BACKGROUND: A reliable immunological assay for quantification of donor-specific alloreactivity to identify patients at risk for future allograft rejection would be a helpful tool in organ transplantation. Therefore, we questioned whether the T cell reactivity in patients measured before transplantation was predictive for the occurrence of acute rejection during the first year after kidney transplantation. METHODS: The pretransplant T cell reactivity of peripheral blood mononuclear cells to donor and third-party antigens was tested in mixed lymphocyte cultures, and to tetanus toxoid. In addition, we measured the frequency of donor and third-party reactive helper T lymphocyte precursor and cytotoxic T lymphocyte precursors using limiting dilution analysis. RESULTS: Patients who experienced acute rejection had significantly higher donor-specific mixed lymphocyte cultures responses (n=38; median stimulation index): 113 vs. 15, P=0.005) and helper T lymphocyte precursor frequency (n=37; median 194/106 vs. 62/106, P=0.009) measured before transplantation compared to patients without acute rejection. All patients with a low mixed lymphocyte culture response (stimulation index

Do Selye's mammalian "GAS" concept and "co-stress" response exist in plants?

Converging data indicate the possible existence of a general adaptation syndrome (GAS) in which different types of stress evoke identical coping mechanisms. In Selyean terms, this implies a "co-stress" response whereby one type of stress resistance may impart co-resistance to others. Common coping denominators may be physiological or morphological. The former include oxy-free radical scavenging, osmoregulation, ABA, jasmonates, chaperones, HSPs, and phytochelatins. Morphological GAS adaptations include leaf pubescence, movements and stance, and rooting characteristics. The feasibility, with certain reservations, of the GAS hypothesis is discussed here.

An overview of the current diagnosis and recent developments in neuroendocrine tumours of the gastroenteropancreatic tract: the diagnostic approach.

Neuroendocrine tumours of the gastroenteropancreatic tract (GEP-NETs) comprise a group of very heterogeneous neoplasms, which are considered 'rare diseases'. Epidemiological studies on the incidence of GEP-NETs worldwide have reported a remarkable increase in the detection of these tumours. In a recent study, based on pathology reports (PALGA) to investigate the incidence of pancreatic and duodenal neuroendocrine tumours in the Netherlands from 1991 until 2009, we also noticed a significant increase in the incidence of these tumours. In particular, the incidence of non-functioning neuroendocrine tumours had significantly increased over this period. Remarkably, a substantial discrepancy was observed between the numbers of neuroendocrine tumours diagnosed in the clinical as opposed to the pathological setting, emphasising that these tumours provide a real diagnostic challenge. To improve the diagnosis of GEP -NET s, we advocate that these complex neoplasms should receive more specialised attention. In this mini-review we provide an overview of the current diagnostic approach to GEP-NETs, and add the recent developments in establishing the diagnosis of these tumours, in order to increase knowledge and awareness of GEP-NETs among clinicians and pathologists. Early detection in order to prevent morbidity from GEP-NETs is advocated.