Investigation of fire regime dynamics and modeling of burn area over India for the twenty-first century

The characteristics of the vegetation fire (VF) regime are strongly influenced by geographical variables such as regional physiographic settings, location, and climate. Understanding the VF regime is extremely important for managing and mitigating the impacts of fires on ecosystems, communities, and human activities in forest fire-prone regions. The present study thereby aimed to explore the potential effects of the confounding factors on VF in India to offer actionable and achievable solutions for mitigating this concurring environmental issue sustainably. A global burn area (250 m) data (Fire-CCIv5.1) and fire radiative power (FRP) were used to investigate the dynamics of VF across seven different divisions in India. The study also used the maximum and minimum temperatures, precipitation, population density, and intensity of human modification to model forest burn areas (including grassland). The Coupled Model Intercomparison Project-6 (CMIP6) was used to predict the burn area for 2030 and 2050 future climate scenarios. The present study accounted for a sizable increasing trend of VF during 2001-2019 period. The highest increasing trend was found in central India (513 and 343 km2 year-1 in the forest and crop fire, respectively), followed by southern India (364 km2 year-1 in forest fire), and upper Indo-Gangetic plain (128 km2 year-1 in crop fire). The FRP has varied significantly across the divisions, with the north-eastern Himalayas exhibiting the highest FRP hotspot. The maximum and minimum temperatures have the greatest influence on forest fires, according to Random Forest (RF) modeling. The estimated pre-monsoonal burn area for 2050 and 2050 future scenarios suggested a more frequent forest fire occurrence across India, particularly in southern and central India. A comprehensive forest fire control policy is therefore essential to safeguard and conserve forest cover in the regions, affected by forest fire periodically.

Examining the status of forest fire emission in 2020 and its connection to COVID-19 incidents in West Coast regions of the United States

Forest fires impact on soil, water, and biota resources. The current forest fires in the West Coast of the United States (US) profoundly impacted the atmosphere and air quality across the ecosystems and have caused severe environmental and public health burdens. Forest fire led emissions could significantly exacerbate the air pollution level and, therefore, would play a critical role if the same occurs together with any epidemic and pandemic health crisis. Limited research is done so far to examine its impact in connection to the current pandemic. As of October 21, nearly 8.2 million acres of forest area were burned, with more than 25 casualties reported so far. In-situ air pollution data were utilized to examine the effects of the 2020 forest fire on atmosphere and coronavirus (COVID-19) casualties. The spatial-temporal concentrations of particulate matter (PM_2.5 and PM₁₀) and Nitrogen Dioxide (NO₂) were collected from August 1 to October 30 for 2020 (the fire year) and 2019 (the reference year). Both spatial (Multiscale Geographically Weighted Regression) and non-spatial (Negative Binomial Regression) analyses were performed to assess the adverse effects of fire emission on human health. The in-situ data-led measurements showed that the maximum increases in PM_2.5, PM₁₀, and NO₂ concentrations (μg/m³) were clustered in the West Coastal fire-prone states during August 1 - October 30, 2020. The average concentration (μg/m³) of particulate matter (PM_2.5 and PM₁₀) and NO₂ was increased in all the fire states severely affected by forest fires. The average PM_2.5 concentrations (μg/m³) over the period were recorded as 7.9, 6.3, 5.5, and 5.2 for California, Colorado, Oregon, and Washington in 2019, increasing up to 24.9, 13.4, 25.0, and 17.0 in 2020. Both spatial and non-spatial regression models exhibited a statistically significant association between fire emission and COVID-19 incidents. Such association has been demonstrated robust and stable by a total of 30 models developed for analyzing the spatial non-stationary and local association. More in-depth research is needed to better understand the complex relationship between forest fire emission and human health.

ADRENAL HISTOPLASMOSIS: AN EASTERN INDIAN PERSPECTIVE

CONTEXT

The clinical presentation of histoplasmosis is varied. Due to its propensity for adrenal involvement, histoplasmosis is an important differential diagnosis in any patient presenting with adrenal mass, bilateral in particular.

OBJECTIVE

Data on clinical presentation, pattern of adrenal involvement, radiological appearance and long-term follow-up of adrenal histoplasmosis are relatively sparse; hence we looked at it.

DESIGN

This record based single-centre retrospective study was conducted in one of the tertiary care hospitals, situated in eastern India catering the Gangetic delta.

SUBJECTS AND METHODS

Data on demographic characters, presenting manifestations, biochemical & hormonal parameters and radiological appearance of confirmed adrenal histoplasmosis cases (n=9), admitted between 2015-2019 have been retrieved. The treatment outcome and condition of patients after 1-4 years of follow-up has also been discussed.

RESULTS

Four out of the nine (44.4%) patients had predisposing immunocompromised conditions in the form of diabetes and/or chronic alcoholism while rest were immunocompetent. Seven out of nine patients (77.8 %) had signs and symptoms suggestive of adrenal insufficiency, while two (22.2%) presented with only pyrexia of unknown origin. All of them had bilateral adrenal mass, though the radiologically appearances were different. All patients received anti-fungal agents with/without hydrocortisone and/or fludrocortisone. One patient died (11.1%), while majority responded favourably to treatment. Adrenocortical function did not recover completely.

CONCLUSIONS

The possibility of adrenal histoplasmosis should always be considered in patients presenting with bilateral adrenal mass, irrespective of adrenal morphology. Treatment is effective, but many of them require supplemental hydrocortisone for quite a long period, if not lifelong. Mineralocorticoid deficiency, however, is not permanent.

Constitutive Model of Radiation Aging Effects in Filled Silicone Elastomers under Strain

Filled silicone elastomers, an essential component in many technological applications, are often subjected to controlled or unintended radiation for a variety of reasons. Radiation exposure can lead to permanent mechanical and structural changes in the material, which is manifested as altered mechanical response, and in some cases, a permanent set. For unfilled elastomers, network theories developed and refined over decades can explain these effects in terms of chain-scission and cross-link formation and a hypothesis involving independent networks formed at different strain levels of the material. Here, we expose a filled silicone rubber to gamma radiation while being under finite elongational strain and show that the observed mechanical and structural changes can be quantitatively modeled within the same theoretical framework developed for unfilled elastomers as long as nuances associated with the Mullins effect are accounted for in a consistent manner. In this work, we employ Ogden's incompressible hyperelastic model within the framework of Tobolsky's two-network scheme to describe the observed permanent set and mechanical modulus changes as a function of radiation dosage. In the process, we conclude that gamma radiation induces both direct cross-linking at chain crossings (H-links) and main-chain-scission followed by cross-linking (Y-links). We provide an estimate of the ratio of chain-scission to cross-linking rates, which is in reasonable agreement with previous experimental estimate from Charlesby-Pinner analysis. We use density functional theory (DFT)-based quantum mechanical calculations to explore the stability of -Si and -SiO radicals that form upon a radiation-induced chain-scission event, which sheds light on the relative rates of Y-linking and H-linking processes.

Exploring spatiotemporal effects of the driving factors on COVID-19 incidences in the contiguous United States

Since December 2019, the world has witnessed the stringent effect of an unprecedented global pandemic, coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of January 29,2021, there have been 100,819,363 confirmed cases and 2,176,159 deaths reported. Among the countries affected severely by COVID-19, the United States tops the list. Research has been conducted to discuss the causal associations between explanatory factors and COVID-19 transmission in the contiguous United States. However, most of these studies focus more on spatial associations of the estimated parameters, yet exploring the time-varying dimension in spatial econometric modeling appears to be utmost essential. This research adopts various relevant approaches to explore the potential effects of driving factors on COVID-19 counts in the contiguous United States. A total of three global spatial regression models and two local spatial regression models, the latter including geographically weighted regression (GWR) and multiscale GWR (MGWR), are performed at the county scale to take into account the scale effects. For COVID-19 cases, ethnicity, crime, and income factors are found to be the strongest covariates and explain most of the variance of the modeling estimation. For COVID-19 deaths, migration (domestic and international) and income factors play a critical role in explaining spatial differences of COVID-19 deaths across counties. Such associations also exhibit temporal variations from March to July, as supported by better performance of MGWR than GWR. Both global and local associations among the parameters vary highly over space and change across time. Therefore, time dimension should be paid more attention to in the spatial epidemiological analysis. Among the two local spatial regression models, MGWR performs more accurately, as it has slightly higher Adj. R² values (for cases, R² = 0.961; for deaths, R² = 0.962), compared to GWR's Adj. R² values (for cases, R² = 0.954; for deaths, R² = 0.954). To inform policy-makers at the nation and state levels, understanding the place-based characteristics of the explanatory forces and related spatial patterns of the driving factors is of paramount importance. Since it is not the first time humans are facing public health emergency, the findings of the present research on COVID-19 therefore can be used as a reference for policy designing and effective decision making.

Evaluating the plausible application of advanced machine learnings in exploring determinant factors of present pandemic: A case for continent specific COVID-19 analysis

Coronavirus disease, a novel severe acute respiratory syndrome (SARS COVID-19), has become a global health concern due to its unpredictable nature and lack of adequate medicines. Machine Learning (ML) models could be effective in identifying the most critical factors which are responsible for the overall fatalities caused by COVID-19. The functional capabilities of ML models in epidemiological research, especially for COVID-19, are not substantially explored. To bridge this gap, this study has adopted two advanced ML models, viz. Random Forest (RF) and Gradient Boosted Machine (GBM), to perform the regression modelling and provide subsequent interpretation. Five successive steps were followed to carry out the analysis: (1) identification of relevant key explanatory variables; (2) application of data dimensionality reduction for eliminating redundant information; (3) utilizing ML models for measuring relative influence (RI) of the explanatory variables; (4) evaluating interconnections between and among the key explanatory variables and COVID-19 case and death counts; (5) time series analysis for examining the rate of incidences of COVID-19 cases and deaths. Among the explanatory variables considered in this study, air pollution, migration, economy, and demographic factor were found to be the most significant controlling factors. Since a very limited research is available to discuss the superiority of ML models for identifying the key determinants of COVID-19, this study could be a reference for future public health research. Additionally, all the models and data used in this study are open source and freely available, thereby, reproducibility and scientific replication will be achievable easily.

Revisiting the levels of Aerosol Optical Depth in south-southeast Asia, Europe and USA amid the COVID-19 pandemic using satellite observations

The countries around the world are dealing with air quality issues for decades due to their mode of production and energy usages. The outbreak of COVID-19 as a pandemic and consequent global economic shutdown, for the first time, provided a base for the real-time experiment of the effect of reduced emissions across the globe in abetting the air pollution issue. The present study dealt with the changes in Aerosol Optical Depth (AOD), a marker of air pollution, because of global economic shutdown due to the coronavirus pandemic. The study considered the countries in south and south-east Asia (SSEA), Europe and the USA for their extended period of lockdown due to coronavirus pandemic. Daily Aerosol Optical Depth (AOD) from Moderate-resolution imaging spectroradiometer (MODIS) and tropospheric column density of NO₂ and SO₂ from Ozone monitoring instrument (OMI) sensors, including meteorological data such as wind speed (WS) and relative humidity (RH) were analyzed during the pre-lockdown (2017-2019) and lockdown periods (2020). The average AOD, NO₂ and SO₂ during the lockdown period were statistically compared with their pre-lockdown average using Wilcoxon-signed-paired-rank test. The accuracy of the MODIS-derived AOD, including the changing pattern of AOD due to lockdown was estimated using AERONET data. The weekly anomaly of AOD, NO₂ and SO₂ was used for analyzing the space-time variation of aerosol load as restrictions were imposed by the concerned countries at the different points of time. Additionally, a random forest-based regression (RF) model was used to examine the effects of meteorological and emission parameters on the spatial variation of AOD. A significant reduction of AOD (-20%) was obtained for majority of the areas in SSEA, Europe and USA during the lockdown period. Yet, the clusters of increased AOD (30-60%) was obtained in the south-east part of SSEA, the western part of Europe and US regions. NO₂ reductions were measured up to 20-40%, while SO₂ emission increased up to 30% for a majority of areas in these regions. A notable space-time variation was observed in weekly anomaly. We found the evidence of the formation of new particles for causing high AOD under high RH and low WS, aided by the downward vertical wind flow. The RF model showed a distinguishable relative importance of emission and meteorological factors among these regions to account for the spatial variability of AOD. Our findings suggest that the continued lockdown might provide a temporary solution to air pollution; however, to combat persistent air quality issues, it needs switching over to the cleaner mode of production and energy. The findings of this study, thus, advocated for alternative energy policy at the global scale.

Age-aware constitutive materials model for a 3D printed polymeric foam

Traditional open or closed-cell stochastic elastomeric foams have wide-ranging applications in numerous industries: from thermal insulation, shock absorbing/gap-filling support cushions, packaging, to light-weight structural and positional components. Recent developments in 3D printing technologies by direct ink-write have opened the possibility of replacing stochastic foam parts by more controlled printed micro-structures with superior stress-distribution and longer functional life. For successful deployment as mechanical support or structural components, it is crucial to characterize the response of such printed materials to long-term external loads in terms of stress-strain behavior evolution and in terms of irreversible structural and load-bearing capacity changes over time. To this end, here we report a thermal-age-aware constitutive model for a 3D printed close-packed foam structure under compression. The model is based on the Ogden hyperfoam strain-energy functional within the framework of Tobolsky two-network scheme. It accurately describes experimentally measured stress-strain response, compression set, and load retention for various aging times and temperatures. Through the technique of time-temperature-superposition the model enables the prediction of long-term changes along with the quantification of uncertainty stemming from sample-to-sample variation and measurement noise. All aging parameters appear to possess the same Arrhenius activation barrier, which suggests a single dominant aging mechanism at the molecular/network level.

A Facile and Chemoselective Cleavage of Trityl Ethers by Indium Tribromide

Trityl ethers are chemoselectively deprotected to the corresponding alcohols in high yields by a catalytic amount of indium tribromide in aqueous acetonitrile. The method is compatible with various functional groups such as acetonides, acetates, benzoates, olefins, carbamates, esters and ethers present in the substrate.

Abstract P5-09-03: Intrinsic heterogeneity of triple-negative breast cancer cells triggers vascular mimicry in 3D matrigel matrix environment

Within the same tumor microenvironment phenotypic and functional heterogeneity arise among cancer cells as a consequence of genetic change, environmental differences, and reversible epigenetic changes in cellular properties. However, it is thought that cancer stem cells are drivers of drug resistance and metastasis. Individual tumor cells growing in culture also display heterogeneity in their intrinsic ability to progress and metastasize. It remains unclear whether intrinsic and extrinsic heterogeneity contribute to the emergence of distinct progressive phenotypes that contribute more to cancer stem cells to disseminate. To this study, we have examined the ability of matrigel to stimulate complex cell behavior that is a consequence of its heterogeneous composition. We have observed that mixing matrigel with metastatic triple negative breast cancer MDA-MB-231 cells, which mimic in vivo tumor microenvironment, around 80-90% cells created network like structures resembling a clinical phenotype known as vascular mimicry (VM) and around 10-20% cells form spheroids. BT549 another triple-negative breast cancer cells also responded similarly, forming cellular networks and spheroids when mixing with matrigel. Since CD44, a marker of epithelial-to-mesenchymal transition has shown enhances tumor aggressiveness by promoting cell plasticity, we decided to examine CD44 expression in MDA-MB-231 cells grown in 3D matrigel matrix environment. We have observed that VM forming cells are showing CD44 positive staining compared to spheroid forming cells which showed negative staining in formaldehyde-fixed 3D matrigel culture of MDA-MB-231 cells, while both group of cells stained positive for VEGFC. Next, we sought to isolate two phenotypically different groups of cells (VM and Tumorsphere forming cells) from the 3D matrigel culture by using microscopic suction procedure for gene expression analysis by qPCR. Our gene expression data suggested that VM forming cells have more expression of VM inducer genes such as CD44 and HIF1α compared to spheroid forming cells isolated from the same 3D matrigel culture of MDA-MB-231 cells. Spheroid forming cells express significant level of endothelial cell adhesion marker, CD31 compared to VM forming cells. Epigenetic mechanisms mediated suppression of tumor suppressors or anti-angiogenesis marker genes are hall mark of VM formation and cancer progression, we examine whether re-expression of those genes with Entinostat (MS-275), a selective inhibitor of class I histone deacetylase (HDAC) can abolish VM structures in 3D matrigel cell culture. Data suggested that MS-275 treatment in 3D culture drastically reduced VM structure by epigenetically re-expression of anti-angiogenic genes; SERPINF1, THBS1 and THBS2 and tumor suppressor genes; APC, PTEN and p21. While MS-275 treatment also downregulated Vimentin, VEGF-A and CD44. Our results suggest that the VM phenotype arises in a subpopulation of cells from a conserved transcriptional response in 3D matrigel environment. Epigenetically re-expression of anti-angiogenic gene expression could be a mechanism to control VM formation in triple-negative breast cancer cells.

Citation Format: Maiti A, Takabe K, Hait NC. Intrinsic heterogeneity of triple-negative breast cancer cells triggers vascular mimicry in 3D matrigel matrix environment [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P5-09-03.

Systemic lupus erythematosus presenting as acute lupus pneumonitis in a young female

Acute lupus pneumonitis is a rare initial presentation of systemic lupus erythematosus (SLE). We report a 19-year-old female presenting with fever and recurrent hemoptysis with radiological evidence of parenchymal lung involvement with mild pleural effusion. Subsequent development of malar and discoid rash with anti-nuclear antibodies (ANA) and anti-dsDNA positivity clinched the diagnosis. Her clinical signs and symptoms resolved with a course of intravenous pulse methyl-prednisolone along with radiological resolution.

Comparative anthelmintic efficacy of ivermectin delivered through different routes in gastrointestinal nematode infected dogs

Ivermectin is one of the most effective and widely used antiparasitic agents ever discovered because of its broad spectrum activity against nematodes and arthropods. Therefore, the study was conducted to determine the comparative anthelmintic efficacy of ivermectin by giving through oral and subcutaneous routes in clinically infected dogs and also to check the prevalence of gastrointestinal nematode in dogs in Bhubaneswar, Odisha. Total 154 dogs with clinical signs of gastroenteritis were examined for the presence of nematodal ova in their faecal sample and 64 were found positive (41.56 %). The screened dogs were divided in to two groups (n = 10 each), first group of animals were treated with ivermectin @ 0.5 mg/kg body weight by subcutaneous route and the second group with same dose of ivermectin through oral route. Efficacy of ivermectin was evaluated based on egg per gram (EPG), haematological and biochemical parameters. It is concluded that, Prevalence of gastrointestinal nematodes are high in dogs in the climatic condition of Bhubaneswar, Odisha. Ivermectin was found effective when administered through either of the routes. Haemato-biochemical parameters were restored after administration of ivermectin and also significant reduction in EPG was found in dogs treated with ivermectin by both the routes, but no significant difference was observed in EPG between oral and subcutaneous treated dogs in various intervals of study.

Mullins effect in a filled elastomer under uniaxial tension

Modulus softening and permanent set in filled polymeric materials due to cyclic loading and unloading, commonly known as the Mullins effect, can have a significant impact on their use as support cushions. A quantitative analysis of such behavior is essential to ensure the effectiveness of such materials in long-term deployment. In this work we combine existing ideas of filler-induced modulus enhancement, strain amplification, and irreversible deformation within a simple non-Gaussian constitutive model to quantitatively interpret recent measurements on a relevant PDMS-based elastomeric cushion. We find that the experimental stress-strain data is consistent with the picture that during stretching (loading) two effects take place simultaneously: (1) the physical constraints (entanglements) initially present in the polymer network get disentangled, thus leading to a gradual decrease in the effective cross-link density, and (2) the effective filler volume fraction gradually decreases with increasing strain due to the irreversible pulling out of an initially occluded volume of the soft polymer domain.

An unusual presentation of latent autoimmune diabetes in adults

Latent Autoimmune Diabetes in Adults (LADA) is an autoimmune form of type 1 diabetes mellitus presenting in adulthood. It is often confused with other types of diabetes and therefore the management is frequently inadequate. Acute hyperglycemic crisis in the form of diabetic ketoacidosis (DKA) or hyperglycemic hyperosmolar state (HHS) are unusual findings. We report a clinical case of a 66-year-old female who presented for the first time with DKA and was subsequently diagnosed as a case of LADA. Presumptive diagnosis of LADA was confirmed with the presence of autoantibody to glutamic acid decarboxylase 65 (Anti-GAD65 antibody).

Radiation-induced mechanical property changes in filled rubber

In a recent paper we exposed a filled elastomer to controlled radiation dosages and explored changes in its cross-link density and molecular weight distribution between network junctions [A. Maiti et al., Phys. Rev. E 83, 031802 (2011)]. Here we report mechanical response measurements when the material is exposed to radiation while being under finite nonzero strain. We observe interesting hysteretic behavior and material softening representative of the Mullins effect, and materials hardening due to radiation. The net magnitude of the elastic modulus depends upon the radiation dosage, strain level, and strain-cycling history of the material. Using the framework of Tobolsky's two-stage independent network theory we develop a model that can quantitatively interpret the observed elastic modulus and its radiation and strain dependence.

Controlled manipulation of elastomers with radiation: Insights from multiquantum nuclear-magnetic-resonance data and mechanical measurements

Filled and cross-linked elastomeric rubbers are versatile network materials with a multitude of applications ranging from artificial organs and biomedical devices to cushions, coatings, adhesives, interconnects, and seismic-isolation, thermal, and electrical barriers. External factors such as mechanical stress, temperature fluctuations, or radiation are known to create chemical changes in such materials that can directly affect the molecular weight distribution (MWD) of the polymer between cross-links and alter the structural and mechanical properties. From a materials science point of view it is highly desirable to understand, affect, and manipulate such property changes in a controlled manner. Unfortunately, that has not yet been possible due to the lack of experimental characterization of such networks under controlled environments. In this work we expose a known rubber material to controlled dosages of γ radiation and utilize a newly developed multiquantum nuclear-magnetic-resonance technique to characterize the MWD as a function of radiation. We show that such data along with mechanical stress-strain measurements are amenable to accurate analysis by simple network models and yield important insights into radiation-induced molecular-level processes.

Removal of congo red using activated carbon and its regeneration

Activated carbon is used for the removal of colored toxic congo red dye. The effects of different operating conditions like, initial dye concentration, contact time, pH and temperature are studied for adsorption of congo red by a known amount of activated carbon (1.0g/L) under stirred batch condition. The zero point of charge of the activated carbon is found about 6.6. About 90% dye is removed for initial concentration of 50 and 100mg/L, it is about 80% at pH 7.0. Maximum adsorption (about 100%) of dye is observed at pH 2.0 for the concentration range studied here. Freundlich isotherm is found to fit the equilibrium data more adequately. Pseudo second order kinetic model explain successfully the kinetic data. The surfactant enhanced carbon regeneration (SECR) technique using both cationic and anionic surfactants is adopted for the regeneration of spent carbon by desorbing the dye. A kinetic model for dye desorption from the commercial activated carbon (CAC) is also proposed. Anionic surfactants show better performance than the cationic ones. Efficiency of dye desorption using surfactants is also compared with the desorption using pH change.

Asymmetric synthesis of (+)-allo-quercitol and (+)-talo-quercitol via free radical cycloisomerization of an enantiomerically pure alkyne-tethered aldehyde derived from a carbohydrate

We describe for the first time the free radical cyclization of enantiomerically pure alkyne-tethered aldehydes obtained from a carbohydrate (6, 7). The synthesis of compounds 6 and 7 obtained from a derivative of D-ribose is reported. These radical precursors have been submitted to cyclization with tributyltin hydride plus azobisisobutyronitrile to yield, after ring closure, two carbocycles, respectively. These carbocycles have been obtained as mixtures of E and Z vinyltin isomers, but with excellent diastereoselection at the new stereocenter formed during the ring closure. After protodestannylation, only one diastereomer was detected and isolated. The absolute configuration at the new stereocenter formed during the carbocyclization has been established by detailed (1)H NMR analysis. The specific transformation of 7-methoxymethoxy-2,2-dimethyl-4-methylene-5-tert-butyldimethylsilyloxy-(3aR,5S,7S,7aS)-perhydrobenzo[d][1,3]dioxole into optically pure (+)-allo-quercitol and (+)-talo-quercitol is described. From these results, we conclude that under an appropriate choice of radical precursors and conditions, the synthesis of highly functionalized cyclohexane derivatives of biological interest is now available.

Role of sulfation in CD44-mediated hyaluronan binding induced by inflammatory mediators in human CD14(+) peripheral blood monocytes

Activation of T cells by Ag or stimulation of monocytes with inflammatory cytokines induces CD44 to bind to hyaluronan (HA), an adhesion event implicated in leukocyte-leukocyte, leukocyte-endothelial cell, and leukocyte-stromal cell interactions. We have previously shown that TNF-alpha induces CD44 sulfation in a leukemic cell line, which correlated with the induction of HA binding and CD44-mediated adhesion. In this study, we establish that TNF-alpha and IFN-gamma induce HA binding and the sulfation of CD44 in CD14(+) PBMC, whereas no induced HA binding or CD44 sulfation was observed in CD14(-) PBMC stimulated with TNF-alpha. Treatment of cells with NaClO(3), an inhibitor of sulfation, prevented HA binding in a significant percentage of CD14(+) PBMC induced by TNF-alpha, LPS, IL-1beta, or IFN-gamma. Furthermore, stimulation with TNF-alpha or IFN-gamma in the presence of NaClO(3) reduced the ability of isolated CD44H to bind HA, demonstrating a direct effect of CD44H sulfation on HA binding. In contrast, the transient induction of HA binding in T cells by PHA was not affected by NaClO(3), suggesting that activated T cells do not use sulfation as a mechanism to regulate HA binding. Overall, these results demonstrate that inducible sulfation of CD44H is one mechanism used by CD14(+) peripheral blood monocytes to induce HA binding in response to inflammatory agents such as TNF-alpha and IFN-gamma.

Effect of adsorbates on field emission from carbon nanotubes

Recent experiments indicate that water molecules adsorbed on carbon nanotube tips significantly enhance field-emission current. Through first-principles density-functional theory calculations we show that the water-nanotube interaction is weak in zero electric field. However, under emission conditions large electric field present at the tube tip: (a) increases the binding energy appreciably, thereby stabilizing the adsorbate; and (b) lowers the ionization potential (IP), thereby making it easier to extract electrons. Lowering of IP is enhanced further through the formation of a water cluster on the nanotube tip.

Chemistry of NO2 on oxide surfaces: formation of NO3 on TiO2(110) and NO2<-->O vacancy interactions

Synchrotron-based high-resolution photoemission, X-ray absorption near-edge spectroscopy, and first-principles density functional (DF) slab calculations were used to study the interaction of NO(2) with a TiO(2)(110) single crystal and powders of titania. The main product of the adsorption of NO(2) on TiO(2)(110) is surface nitrate with a small amount of chemisorbed NO(2). A similar result is obtained after the reaction of NO(2) with polycrystalline powders of TiO(2) or other oxide powders. This trend, however, does not imply that the metal centers of the oxides are unreactive toward NO(2). An unexpected mechanism is seen for the formation of NO(3). Photoemission data and DF calculations indicate that the surface nitrate forms through the disproportionation of NO(2) on Ti sites (2NO(2,ads) --> NO(3,ads) + NO(gas)) rather than direct adsorption of NO(2) on O centers of titania. Complex interactions take place between NO(2) and O vacancies of TiO(2)(110). Electronic states associated with O vacancies play a predominant role in the bonding and surface chemistry of NO(2). The adsorbed NO(2), on its part, affects the thermochemical stability of O vacancies, facilitating their migration from the bulk to the surface of titania. The behavior of the NO(2)/titania system illustrates the importance of surface and subsurface defects when using an oxide for trapping or destroying NO(x)() species in the prevention of environmental pollution (DeNOx operations).

Hepatic damage caused by chronic arsenic toxicity in experimental animals

OBJECTIVE

Noncirrhotic fibrosis of the liver is common in subjects chronically consuming ground water geologically contaminated with arsenic, but the mechanism of the hepatic fibrosis is not known. Because lipid peroxidation has been implicated in the development of several other forms of hepatic fibrosis, including iron and copper overload, we have explored the roles of oxidative stress and lipid peroxidation in the causation of hepatic fibrosis in a murine model of chronic arsenic toxicity.

METHODS

Male BALB/c mice were given drinking water contaminated with arsenic (3.2 mg/L) or arsenic-free (<0.01 mg/L, control) ad libitum. Mice were sacrificed at 3, 6, 9, 12, and 15 months for examination of hepatic histology and assays of hepatic reduced glutathione content, lipid peroxidation, enzymes of the antioxidant defense system, and membrane-bound sodium/potassium ATPase (Na+/K+ ATPase).

RESULTS

After 12 months of arsenic feeding, the liver weights increased significantly as did serum aspartate aminotransferase and alanine aminotransferase. After 6 months of arsenic feeding, hepatic glutathione and the enzymes glucose-6-phosphate dehydrogenase and glutathione peroxidase were significantly lower than those of the control group. Hepatic catalase activity was significantly reduced at 9 months in the arsenic-fed group, while glutathione-S-transferase and glutathione reductase activities were also significantly reduced at 12 and 15 months. Plasma membrane Na+/K+ ATPase activity was reduced after 6 months while lipid peroxidation increased significantly after 6 months of arsenic feeding. Liver histology remained normal for the first 9 months, but showed fatty infiltration after 12 months of arsenic feeding. Histologic evidence of fibrosis was observed after 15 months.

CONCLUSION

We have demonstrated hepatic fibrosis due to long-term arsenic toxicity in an animal model. Initial biochemical evidence of hepatic membrane damage, probably due to reduction of glutathione and antioxidant enzymes, may be seen by 6 months. Continued arsenic feeding resulted in fatty liver with serum aminotransferase and alanine aminotransferase elevated at 12 months and hepatic fibrosis at 15 months. The murine model is proposed as relevant to epidemic human toxicity in areas of arsenic contamination.

Oxidative stress in liver of mice exposed to arsenic-contaminated water

BACKGROUND

Oxidative stress has been implicated in the initiation of hepatic damage caused by various agents. Not much data on oxidative stress in liver in chronic arsenic exposure are available in the literature. We therefore studied this aspect in a murine model.

METHODS

BALB/c mice were given arsenic-contaminated (3.2 mg/L) or arsenic-free (< 0.01 mg/L, control) drinking water ad libitum. Batches of mice were sacrificed after 2 and 4 months, and blood samples and liver tissue were collected. Liver histology was examined and levels of hepatic reduced glutathione (GSH), malondialdehyde, and enzymes of the antioxidant defense system in the liver tissue were determined. Arsenic content in liver tissues obtained at 4 months was estimated.

RESULTS

Two-month exposure to arsenic caused significant elevation of hepatic GSH (11.4 [0.8] micrograms/mg protein) compared to control mice (9.3 [0.4]; p < 0.01). Levels of enzymes related to GSH homeostasis were also elevated. At 4 months, hepatic GSH was significantly reduced (8.4 [0.5] micrograms/mg protein) when compared to control mice (9.3 [0.4]; p < 0.01). Arsenic content in the liver tissue after 4 months of exposure was significantly higher (0.40 [0.05] microgram/g) as compared to control mice (0.04 [0.04]; p < 0.01).

CONCLUSION

The results suggest that the antioxidant defense system in the liver of mice is activated after exposure to arsenic for 2 months. However, prolonged exposure to arsenic probably causes overuse failure of this system, which might result in initiation of biochemical injury to the liver.

A role for the cell adhesion molecule CD44 and sulfation in leukocyte-endothelial cell adhesion during an inflammatory response?

CD44 is a widely expressed cell adhesion molecule that has been implicated in a variety of biological processes including lymphopoiesis, angiogenesis, wound healing, leukocyte extravasation at inflammatory sites, and tumor metastasis. The adhesive function of CD44, like other molecules involved in inducible adhesion, is tightly regulated. Post-translational modifications, isoform expression, aggregation state, and protein associations all can affect the ligand binding properties of CD44, and these can vary depending on the cell type and the activation state of the cell. The most extensively characterized ligand for CD44 is hyaluronan, a component of the extracellular matrix. Interactions between CD44 and hyaluronan can mediate both cell-cell and cell-extracellular matrix adhesion. In the immune system, both the selectin molecules and CD44 have been implicated in the initial binding of leukocytes to endothelial cells at an inflammatory site. Sulfation is required for selectin-mediated leukocyte-endothelial cell interactions, and, recently, inducible sulfation also was shown to regulate CD44-mediated leukocyte adhesion to endothelial cells. Sulfation, therefore, may be important in the regulation of cell adhesion at inflammatory sites. In this commentary we have reviewed the molecular aspects of CD44 and the mechanisms that regulate its binding to hyaluronan. In addition, we have summarized the role of CD44 and hyaluronan in mediating leukocyte-endothelial cell interactions and have discussed how this interaction may be regulated. Finally, we examined the potential role of sulfation as an inducible means to regulate CD44-mediated leukocyte adhesion and as a more general mechanism to regulate leukocyte-endothelial cell interactions.

TNF-alpha induction of CD44-mediated leukocyte adhesion by sulfation

Regulation of cell adhesion is important for immune system function. CD44 is a tightly regulated cell adhesion molecule present on leukocytes and implicated in their attachment to endothelium during an inflammatory immune response. The proinflammatory cytokine tumor necrosis factor-alpha, but not interferon-gamma, was found to convert CD44 from its inactive, nonbinding form to its active form by inducing the sulfation of CD44. This posttranslational modification was required for CD44-mediated binding to the extracellular matrix component hyaluronan and to vascular endothelial cells. Sulfation is thus a potential means of regulating CD44-mediated leukocyte adhesion at inflammatory sites.

Analysis of CD44 interactions with hyaluronan in murine L cell fibroblasts deficient in glycosaminoglycan synthesis: a role for chondroitin sulfate

CD44 is a widely expressed cell adhesion molecule that binds the extracellular matrix component, hyaluronan, in a tightly regulated manner. Previous studies have shown that the CD44-hyaluronan interaction is affected by changes in the glycosylation state of CD44. In this study, we take advantage of several well-characterized murine L cell mutants defective in heparan sulfate synthesis (gro2C cells), heparan sulfate and chondroitin sulfate synthesis (sog9 cells), and glycosaminoglycan and oligosaccharide processing (sog8 cells) to assess the effects of these defects on the hyaluronan binding ability of CD44. In parental L cells and gro2C cells, CD44 was induced to bind hyaluronan after addition of the activating, anti-CD44 monoclonal antibody, IRAWB 14. By contrast, no inducible binding was observed in sog9 cells. Treatment of L cells with sodium chlorate, an inhibitor of sulfation, also abolished inducible hyaluronan binding. However, inducible and some constitutive hyaluronan binding was observed in sog8 cells. This indicates that sulfation and, in particular, the addition of chondroitin sulfate are required for inducible hyaluronan binding by CD44 in L cells. However, in the absence of fully processed oligosaccharides, chondroitin sulfate is not essential for hyaluronan binding, indicating that the effect of chondroitin sulfate is dependent upon the glycosylation state of the cell. Thus, in addition to glycosylation, chondroitin sulfate biosynthesis is an important post-translational modification that can affect the hyaluronan binding ability of CD44.

CD45 and RPTPalpha display different protein tyrosine phosphatase activities in T lymphocytes

To examine the substrate specificity and function of two receptor protein tyrosine phosphatases, CD45 and RPTPalpha, RPTPalpha was expressed in a CD45(-), T-cell receptor (TCR)+, BW5147 T-lymphoma cell. High levels of expression of RPTPalpha did not fully restore either proximal or distal TCR-mediated signalling events. RPTPalpha was unable to reconstitute the phosphorylation of CD3zeta and did not increase the expression of the activation marker, CD69, on stimulation with TCR/CD3. RPTPalpha did not significantly alter the phosphorylation state or kinase activity of two CD45 substrates, p56(lck) or p59(fyn), suggesting that RPTPalpha does not have the same specificity or function as CD45 in T-cells. Further comparison of the two phosphatases indicated that immunoprecipitated RPTPalpha was approx. one-seventh to one-tenth as active as CD45 when tested against artificial substrates. This difference in activity was also observed in vitro with purified recombinant enzymes at physiological pH. Additional analysis with Src family phosphopeptides and recombinant p56(lck) as substrates indicated that CD45 was consistently more active than RPTPalpha, having both higher Vmax and lower Km values. Thus CD45 is intrinsically a much more active phosphatase than RPTPalpha, which provides one reason why RPTPalpha cannot effectively dephosphorylate p56(lck) and substitute for CD45 in T-cells. This work establishes that these two related protein tyrosine phosphatases are not interchangeable in T-cells and that this is due, at least in part, to quantitative differences in phosphatase activity.