Rheumatoid factor in melanoma patients: alterations of humoral tumor immunity in vitro.

Rheumatoid factors (RF) were associated with alterations of antibody reactions to melanoma cells in vitro by two serologic assays. Removal of RF from melanoma patients' sera by absorption with Cohn's Fraction II coated latex particles enhanced seroreactivity in the Immune Adherence (IA) assay and diminished IgM detection by the Indirect Membrane Immunofluorescence (IMI) assay. The addition of serum with high titers of RF to these assay systems led to diminution of IA reactivity and enhancement of IgM detection by IMI. Since these factors are found in cancer patients' sera and can alter humoral immune reactions directed against antigens on the membranes of tumor cells, their presence should be recognized when performing assays with tumor target cells. RF may be of significance in the host-tumor relationship in vivo.     

Angiotensin II and renal hypertension in dog, rat and man: effect of converting enzyme inhibition

The role of the renin-angiotensin system in the pathogenesis of one-clip, two-kidney hypertension has been studied in man, dog and rat. Particular attention has been paid to peripheral plasma concentrations of angiotensin II in different circumstances; angiotensin II infusion has been combined with radioimmunoassay to construct angiotensin II/blood pressure dose-response curves. The effect of converting enzyme inhibitors has been studied, precautions being taken to avoid obtaining falsely high values for plasma angiotensin II because of cross-reaction with angiotensin I in these circumstances. The initial phase of one-clip, two-kidney hypertension is attributable to the direct pressor effect of the immediate rise in plasma angiotensin II. Subsequently, plasma angiotensin II is relatively lower, although blood pressure remains high. This upward resetting of the plasma angiotensin II/blood pressure relationship can be mimicked by infusing angiotensin II chronically at low dose. After reconstruction of a stenosed renal artery, or excision of a post-stenotic kidney, the angiotensin II/blood pressure relationship returns slowly to normal. In this second phase of one-clip, two-kidney hypertension, the long-term administration of saralasin, or of converting enzyme inhibitor, can also return arterial pressure to normal; brief administration of these drugs is less effective or ineffective. The results are compatible with, although they do not conclusively establish, an important slow pressor action of the renin-angiotensin system in the second phase of one-clip, two-kidney hypertension. This provides a rational basis for the use of captopril clinically in this condition.     

Monitor-to-monitor temporal correlation of air pollution in the contiguous US

Numerous studies have reported short-term associations between ambient air pollution concentrations and mortality and morbidity. Particulate matter (PM) was often implicated as the most significant predictor of the health outcomes among the various air pollutants. However, a question remains as to the potential role played by the relative error of exposure estimation associated with each pollutant in defining their relative strengths of association. While most of the recent studies on PM exposure measurements have focused on the temporal correlation between personal exposures and the concentrations observed at ambient air quality monitors (within a few miles from the subjects), there have been few studies that systematically evaluated spatial uniformity of temporal correlation of air pollution within the scale of a city (several tens of miles) for which mortality or morbidity outcomes are aggregated in time-series studies. In this study, spatial uniformity of temporal correlation was examined by computing monitor-to-monitor correlation using available multiple monitors for PM(10) and gaseous criteria pollutants (NO(2), SO(2), CO, and O(3)) in the nationwide data between 1988 and 1997. For each monitor, the median of temporal correlation with other monitors within the Air Quality Control Region (AQCR) was computed. The resulting median monitor-to-monitor correlation was modeled as a function of qualitative site characteristics (i.e., land-use, location-setting, and monitoring-objective) and quantitative information (median separation distance, longitude/latitude or regional indicators) for each pollutant. Generalized additive models (GAM) were used to fit the smooth function of the separation distance and regional variation. The intercepts of the models across pollutants showed the overall rankings in monitor-to-monitor correlation on the average to be: O(3), NO(2), and PM(10), (r approximately 0.6 to 0.8)>CO (r<0.6)>SO(2) (r<0.5). Both the separation distance and regional variation were important predictors of the correlation. For PM(10), for example, the correlation for the monitors along the East Coast was higher by approximately 0.2 than western regions. The qualitative monitor characteristics were often significant predictors of the variation in correlation, but their impacts were not substantial in magnitude for most categories. These results suggest that the apparent regional heterogeneity in PM effect estimates, as well as the differences in the significance of health outcome associations across pollutants, may in part be contributed to by the differences in monitor-to-monitor correlations by region and across pollutants.     

Animal soundscapes reveal key markers of Amazon forest degradation from fire and logging

Safeguarding tropical forest biodiversity requires solutions for monitoring ecosystem structure over time. In the Amazon, logging and fire reduce forest carbon stocks and alter habitat, but the long-term consequences for wildlife remain unclear, especially for lesser-known taxa. Here, we combined multiday acoustic surveys, airborne lidar, and satellite time series covering logged and burned forests (n = 39) in the southern Brazilian Amazon to identify acoustic markers of forest degradation. Our findings contradict expectations from the Acoustic Niche Hypothesis that animal communities in more degraded habitats occupy fewer “acoustic niches” defined by time and frequency. Instead, we found that aboveground biomass was not a consistent proxy for acoustic biodiversity due to the divergent patterns of “acoustic space occupancy” between logged and burned forests. Ecosystem soundscapes highlighted a stark, and sustained reorganization in acoustic community assembly after multiple fires; animal communication networks were quieter, more homogenous, and less acoustically integrated in forests burned multiple times than in logged or once-burned forests. These findings demonstrate strong biodiversity cobenefits from protecting burned Amazon forests from recurrent fire. By contrast, soundscape changes after logging were subtle and more consistent with acoustic community recovery than reassembly. In both logged and burned forests, insects were the dominant acoustic markers of degradation, particularly during midday and nighttime hours, which are not typically sampled by traditional biodiversity field surveys. The acoustic fingerprints of degradation history were conserved across replicate recording locations, indicating that soundscapes may offer a robust, taxonomically inclusive solution for digitally tracking changes in acoustic community composition over time.

Biological diversity is disappearing rapidly in response to human activity, especially in tropical forests, which are home to well over half of Earth’s terrestrial species (1). Global concern over greenhouse gas emissions from tropical forests (2) has led to international efforts to Reduce Emissions from Deforestation and Forest Degradation (REDD+) (3). Retention of diverse ecosystems supports climate change mitigation and adaptation (4); yet, carbon-focused conservation may not result in a commensurate win for tropical forest biodiversity (5). Longstanding data gaps on species distributions and uncertainty regarding the direct and indirect impacts of human activity on biodiversity complicate efforts to quantify the interplay between carbon and biodiversity (6, 7).Across the tropics, the Brazilian Amazon has the highest rates of deforestation (8), and forest degradation from fire and logging may double biodiversity loss from deforestation alone (9). However, the long-term impacts of human activity on Amazon biodiversity remain highly uncertain due, in part, to the spatial heterogeneity among degraded forests from differences in the timing, frequency, extent, and severity of disturbances (10). Time-varying heterogeneity in the biodiversity of degraded forests may also explain some of the apparent contradictions in previous studies of degradation impacts on birds, the most well-studied Amazonian taxa. Many nectarivorous birds, for example, increase in abundance immediately after logging but ultimately decline. Yet, many insectivorous birds show immediate sensitivity to changes in habitat from logging but continue to decline in abundance over time (11). Time dependence also complicates efforts to measure the effects of degradation on insects, a problem confounded by limited research (12).Addressing the tropical biodiversity extinction crisis, therefore, requires an efficient, distributed, long-term monitoring system to assess ecosystem structure (13). Traditional, ground-based biodiversity inventories are logistically prohibitive to conduct at scale, and limited taxonomic expertise perpetuates large data discrepancies for lesser-known taxa, such as insects, which constitute the bulk of tropical biodiversity (7). Advances in the emerging discipline of acoustic remote sensing, or ecoacoustics, may permit large-scale biodiversity monitoring for multiple taxa, including unidentifiable species, based on the aggregate sound signature of the animal community, or soundscape (14–16). Since multiple sites can be recorded simultaneously over time, sound surveys reduce the effort and cost associated with routine monitoring and facilitate standardized assessments of community variation and ecosystem recovery. Most previous efforts to utilize acoustic data for biodiversity monitoring have focused on detecting known vocalizations associated with individual species (17, 18), but there is increasing interest in evaluating the entire collection of signals in a given soundscape to derive measures of ecosystem intactness that include all sound-generating taxa without definitive species identification (15, 16, 19, 20).The Acoustic Niche Hypothesis (ANH) (21) is a core premise of ecoacoustics and the prevailing organizing principle for assessing diversity (16), community similarity (22), and human impacts (23, 24) using soundscape data. The ANH posits that more intact habitats support more biodiverse communities that occupy more “acoustic niches.” Greater niche partitioning of available acoustic space, defined by frequency and time of day, is posited to minimize communication interference among coexisting species. The ANH implies a positive linear relationship between habitat intactness (i.e., biomass) and acoustic niche infilling or acoustic space occupancy (ASO) by the “animal orchestra.” The corollary is that more degraded habitats support less acoustic infilling due to vacant acoustic niches from local species extirpations (25). Ecoacoustic approaches have great potential to extend monitoring capabilities in the hyperdiverse tropics, where competition for acoustic space is strongest (16, 26). Still, large uncertainties remain as to whether soundscape infilling can be used as a robust proxy for ecosystem intactness to monitor landscapes altered by human activity (27).Here, we test the ANH across logged and burned Amazon forests to identify acoustic markers of forest degradation (Fig. 1). We collected coincident high-density airborne lidar data and multiday acoustic recordings (214 24-h surveys) during September and October 2016 in 39 forests with different times since logging (4 to 23 y) and histories of fire activity (1 to 5 fires), stratified based on a 33-y time series of annual Landsat imagery (10). We used space-for-time substitution and two complementary analytic approaches to characterize threshold effects and time dependence for changes in the structure of animal soundscapes along gradients of degradation history (see Materials and Methods). First, we calculated ASO for each site at hourly and 1-min time steps to test the ANH and to quantify the magnitude, persistence, and variability in the infilling of acoustic space following forest degradation. Second, we developed a network-based approach to capture additional complexity from the soundscape data to track the composition and co-occurrences of “acoustic pseudotaxa” (defined as the community components that occupy the same acoustic niche) along degradation and recovery pathways. Our findings demonstrate that soundscapes encode digital markers of the history of degradation from human activity, revealing distinct patterns of community change following logging and fire. This study paves the way for more widespread use of ecoacoustics to benchmark and monitor changes in acoustic community composition in human-altered tropical forest landscapes, especially in remote regions with many unknown species.Open in a separate windowFig. 1.Acoustic recording sites in logged and burned forests (n = 39) were distributed across 9,400 km² in northern Mato Grosso, Brazil (Upper Left). Colored boxes identify subsets of the study domain to illustrate how the triplicate sampling scheme was designed to capture the heterogeneity in habitat structure and acoustic community composition in logged (yellow) and burned (black) forests. False-color composites of Landsat imagery (2014, 543-RGB) in each panel show deforested areas in magenta and gradients of forest cover in shades of green.     

Gliomas and farm pesticide exposure in men: the upper midwest health study

The National Institute for Occupational Safety and Health evaluated farm pesticide exposure and glioma risk in a study that included 457 glioma cases and 648 population-based controls, all adult men (18-80 yr old) and nonmetropolitan residents of Iowa, Michigan, Minnesota, and Wisconsin. Multiple logistic regressions were used to control for farm residence, age, age group, education, and exposure to other pesticides. No associations were found between glioma and 12 specific pesticides. We estimated adjusted odds ratios (ORs) and 95% confidence intervals (CIs) and found reduced glioma risk for insecticides (OR = 0.53, CI = 0.37-0.77), fumigants (OR = 0.57, CI = 0.34-0.95), and organochlorines (OR = 0.66, CI = 0.47-0.94). In analyses excluding proxy respondents (47% of cases) most CIs included 1.0. No positive association of farm pesticide exposure and glioma was found. Other farm exposures may explain the excess brain cancer risk seen in previous studies.     

Classification,prevalence and integrated care for neurodevelopmental and child mental health disorders: A brief overview for paediatricians

‘Neurodevelopmental disorders’ comprise a group of congenital or acquired long-term conditions that are attributed to disturbance of the brain and or neuromuscular system and create functional limitations, including autism spectrum disorder, attention deficit/ hyperactivity disorder, tic disorder/ Tourette’s syndrome, developmental language disorders and intellectual disability. Cerebral palsy and epilepsy are often associated with these conditions within the broader framework of paediatric neurodisability. Co-occurrence with each other and with other mental health disorders including anxiety and mood disorders and behavioural disturbance is often the norm. Together these are referred to as neurodevelopmental, emotional, behavioural, and intellectual disorders (NDEBIDs) in this paper. Varying prevalence rates for NDEBID have been reported in developed countries, up to 15%, based on varying methodologies and definitions. NDEBIDs are commonly managed by either child health paediatricians or child/ adolescent mental health (CAMH) professionals, working within multidisciplinary teams alongside social care, education, allied healthcare practitioners and voluntary sector. Fragmented services are common problems for children and young people with multi-morbidity, and often complicated by sub-threshold diagnoses. Despite repeated reviews, limited consensus among clinicians about classification of the various NDEBIDs may hamper service improvement based upon research. The recently developed “Mental, Behavioural and Neurodevelopmental disorder” chapter of the International Classification of Diseases-11 offers a way forward. In this narrative review we search the extant literature and discussed a brief overview of the aetiology and prevalence of NDEBID, enumerate common problems associated with current classification systems and provide recommendations for a more integrated approach to the nosology and clinical care of these related conditions.