Geochemical and mineralogical characteristics of shales from the early to middle Permian Dohol Formation in Peninsular Malaysia: Implications for organic matter enrichment, provenance, tectonic setting, palaeoweathering and paleoclimate.

The early to middle Permian Dohol Formation is characterized by a significant presence of shale deposits. While these shales exhibit a low potential to generate hydrocarbons, there is a need to ascertain the possible reasons for the low hydrocarbon generation potential. Also, there are several unidentified properties and attributes associated with these shales in terms of their inorganic geochemical characteristics and their mineralogy. This study is focused on using XRF, ICPMS, and SEM with EDX to determine the mineralogical and geochemical characteristics of these shales and use these data to discuss their provenance history and tectonic setting and interpret the paleoclimatic and paleoweathering conditions. The inorganic geochemical analysis shows that the shales from the Dohol Formation are from a felsic igneous source. The shales were also identified to be from a passive margin based on the bivariate plot of SiO2 vs log (K2O/Na2O) and several multidimensional diagram plots. The CIA and CIW data, as well as the A-CN-K plot, all point to a significant degree of chemical weathering, ranging from mild to intense. The Sr/Cu ratio and C-value, combined with various other geochemical proxies, indicate that the shales were formed in warm-humid climatic conditions. The SEM analysis shows that the samples are mainly composed of kaolinite and illite, and this result was supported by the EDX elemental composition. The high terrigenous influx of sediments, the oxic to sub-oxic conditions in which the sediments were deposited, and finally low marine productivity were found to be the reasons for the low TOC in the shales from the Dohol Formation.

Bacterial nanocellulose and its application in heavy metals and dyes removal: a review.

This review discusses the application of bacterial nanocellulose (BNC) and modified BNC in treating wastewater containing heavy metals and dye contaminants. It also highlights the challenges and future perspectives of BNC and its composites. Untreated industrial effluents containing toxic heavy metals are systematically discharged into public waters. In particular, lead (Pb), copper (Cu), cadmium (Cd), nickel (Ni), zinc (Zn), and arsenic (As) are very harmful to human health and, in some cases, may lead to death. Several methods such as chemical precipitation, ion exchange, membrane filtration, coagulation, and Fenton oxidation are used to remove these heavy metals from the environment. However, these methods involve the use of numerous chemicals whilst producing high amount of toxic sludge. Meanwhile, the development of the adsorption-based technique has provided an alternative way of treating wastewater using BNC. Bacterial nanocellulose requires less energy for purification and has higher purity than plant cellulose. In general, the optimum growth parameters are crucial in BNC production. Even though native BNC can be used for the removal of heavy metals and dyes, the incorporation of other materials, such as polyethyleneimine, graphene oxide, calcium carbonate and polydopamine can improve sorption efficiencies.

The Art of Sim-Making: What to Learn from Film-Making.

The components of each stage have similarities as well as differences, which make each unique in its own right. As the film-making and the movie industry may have much we can learn from, some of these will be covered under the different sections of the paper, for example, "Writing Powerful Narratives," depiction of emotional elements, specific industry-driven developments as well as the "cultural considerations" in both. For medical simulation and simulation-based education, the corresponding stages are as follows: DevelopmentPreproductionProductionPostproduction andDistribution. The art of sim-making has many similarities to that of film-making. In fact, there is potentially much to be learnt from the film-making process in cinematography and storytelling. Both film-making and sim-making can be seen from the artistic perspective as starting with a large piece of blank, white sheet of paper, which will need to be colored by the "artists" and personnel involved; in the former, to come up with the film and for the latter, to engage learners and ensure learning takes place, which is then translated into action for patients in the actual clinical care areas. Both entities have to go through a series of systematic stages. For film-making, the stages are as follows: Identification of problems and needs analysisSetting objectives, based on educational strategiesImplementation of the simulation activityDebriefing and evaluation, as well asFine-tuning for future use and archiving of scenarios/cases.

Adsorption of Zn2+ from Synthetic Wastewater Using Dried Watermelon Rind (D-WMR): An Overview of Nonlinear and Linear Regression and Error Analysis.

Sustainable wastewater treatment is one of the biggest issues of the 21st century. Metals such as Zn2+ have been released into the environment due to rapid industrial development. In this study, dried watermelon rind (D-WMR) is used as a low-cost adsorption material to assess natural adsorbents' ability to remove Zn2+ from synthetic wastewater. D-WMR was characterized using scanning electron microscope (SEM) and X-ray fluorescence (XRF). According to the results of the analysis, the D-WMR has two colours, white and black, and a significant concentration of mesoporous silica (83.70%). Moreover, after three hours of contact time in a synthetic solution with 400 mg/L Zn2+ concentration at pH 8 and 30 to 40 °C, the highest adsorption capacity of Zn2+ onto 1.5 g D-WMR adsorbent dose with 150 µm particle size was 25 mg/g. The experimental equilibrium data of Zn2+ onto D-WMR was utilized to compare nonlinear and linear isotherm and kinetics models for parameter determination. The best models for fitting equilibrium data were nonlinear Langmuir and pseudo-second models with lower error functions. Consequently, the potential use of D-WMR as a natural adsorbent for Zn2+ removal was highlighted, and error analysis indicated that nonlinear models best explain the adsorption data.

Optimization of Bio-Foamed Concrete Brick Strength via Bacteria Based Self-Healing and Bio-Sequestration of CO2.

This research aimed to optimize the compressive strength of bio-foamed concrete brick (B-FCB) via a combination of the natural sequestration of CO2 and the bio-reaction of B. tequilensis enzymes. The experiments were guided by two optimization methods, namely, 2k factorial and response surface methodology (RSM). The 2k factorial analysis was carried out to screen the important factors; then, RSM analysis was performed to optimize the compressive strength of B-FCB. Four factors, namely, density (D), B. tequilensis concentration (B), temperature (T), and CO2 concentration, were selectively varied during the study. The optimum compressive strength of B-FCB was 8.22 MPa, as deduced from the following conditions: 10% CO2, 3 × 107 cell/mL of B, 27 °C of T and 1800 kg/m3 of D after 28 days. The use of B. tequilensis in B-FCB improved the compressive strength by 35.5% compared to the foamed concrete brick (FCB) after 28 days. A microstructure analysis by scanning electronic microscopy (SEM), energy dispersive X-ray (EDX) and X-ray diffraction analysis (XRD) reflected the changes in chemical element levels and calcium carbonate (CaCO3) precipitation in the B-FCB pores. This was due to the B. tequilensis surface reactions of carbonic anhydrase (CA) and urease enzyme with calcium in cement and sequestered CO2 during the curing time.

Biologically Active α-Amino Amide Analogs and γδ T Cells-A Unique Anticancer Approach for Leukemia.

Advanced stage cancers are aggressive and difficult to treat with mono-therapeutics, substantially decreasing patient survival rates. Hence, there is an urgent need to develop unique therapeutic approaches to treat cancer with superior potency and efficacy. This study investigates a new approach to develop a potent combinational therapy to treat advanced stage leukemia. Biologically active α-amino amide analogs (RS)-N-(2-(cyclohexylamino)-2-oxo-1-phenylethyl)-N-phenylpropiolamide (α-AAA-A) and (RS)-N-(2-(cyclohexylamino)-2-oxo-1-phenylethyl)-N-phenylbut2-enamide (α-AAA-B) were synthesized using linear Ugi multicomponent reaction. Cytotoxicities and IC50 values of α-AAA-A and α-AAA-B against leukemia cancer cell lines (HL-60 and K562) were analyzed though MTT assay. Cytotoxic assay analyzed percent killing of leukemia cell lines due to the effect of γδ T cells alone or in combination with α-AAA-A or α-AAA-B. Synthesized biologically active molecule α-AAA-A exhibited increased cytotoxicity of HL-60 (54%) and K562 (44%) compared with α-AAA-B (44% and 36% respectively). Similarly, α-AAA-A showed low IC50 values for HL-60 (1.61 ± 0.11 µM) and K562 (3.01 ± 0.14 µM) compared to α-AAA-B (3.12 ± 0.15 µM and 6.21 ± 0.17 µM respectively). Additive effect of amide analogs and γδ T cells showed significantly high leukemia cancer cell killing as compared to γδ T cells alone. A unique combinational therapy with γδ T cells and biologically active anti-cancer molecules (α-AAA-A/B), concomitantly may be a promising cancer therapy.

Optimization of methods for peripheral blood mononuclear cells isolation and expansion of human gamma delta T cells.

Human Vg9/Vδ2 T cells (γδ T cells) are immune surveillance cells both in innate and adaptive immunity and are a possible target for anticancer therapies, which can induce immune responses in a variety of cancers. Small non-peptide antigens such as zoledronate can do activation and expansion of T cells in vitro. It is evident that for adoptive cancer therapies, large numbers of functional cells are needed into cancer patients. Hence, optimization of methods needs to be carried out for the efficient expansion of these T cells. Standardization of peripheral blood mononuclear cells (PBMCs) isolation was devised. Cytokines (interleukin 2 (IL-2) and interleukin 15 (IL-15)) and zoledronate were also standardized for different concentrations. It was found that an increased number of PBMCs were recovered when washing was done at 1100 revolution per minute (rpm). Significantly high expansion fold was (2524 ± 787 expansion fold) achieved when stimulation of PBMCs was done with 1 µM of zoledronate and both cytokines IL-2 and IL-15 supported the expansion and survival of cells at the concentrations of 100 IU/ml and 10 ng/ml respectively. 14-day cultures showed highly pure (91.6 ± 5.1%) and live (96.5 ± 2.5%) expanded γδ T cells. This study aimed to standardize an easy to manipulate technique for the expansion of γδ T cells, giving a higher yield.

Combinational therapeutics to combat cancer.

Mono-therapeutics is rarely effective as a treatment option, which limits the survival of patients in advanced grade aggressive cancers. Combinational therapeutics (multiple drugs for multiple targets) to combat cancer is gaining momentum in recent years. Hence, it is of interest to document known data for combinational therapeutics in cancer treatment. An amalgamation of therapeutic agents enhances the efficacy and potency of the therapy. Combinational therapy can potentially target multiple pathways that are necessary for the cancer cells to proliferate, and/or target molecules, which may help cancer to become more aggressive and metastasize. In this review, we discuss combinational therapeutics, which include human γδ T cells in combinations with biologically active anti-cancer molecules, which synergistically may produce promising combinational therapeutics.

Comparison of culture-independent and dependent approaches for identification of native arsenic-resistant bacteria and their potential use for arsenic bioremediation.

Arsenic is a common contaminant in gold mine soil and tailings. Microbes present an opportunity for bio-treatment of arsenic, since it is a sustainable and cost-effective approach to remove arsenic from water. However, the development of existing bio-treatment approaches depends on isolation of arsenic-resistant microbes from arsenic contaminated samples. Microbial cultures are commonly used in bio-treatment; however, it is not established whether the structure of the cultured isolates resembles the native microbial community from arsenic-contaminated soil. In this milieu, a culture-independent approach using Illumina sequencing technology was used to profile the microbial community in situ. This was coupled with a culture-dependent technique, that is, isolation using two different growth media, to analyse the microbial population in arsenic laden tailing dam sludge based on the culture-independent sequencing approach, 4 phyla and 8 genera were identified in a sample from the arsenic-rich gold mine. Firmicutes (92.23%) was the dominant phylum, followed by Proteobacteria (3.21%), Actinobacteria (2.41%), and Bacteroidetes (1.49%). The identified genera included Staphylococcus (89.8%), Pseudomonas (1.25), Corynebacterium (0.82), Prevotella (0.54%), Megamonas (0.38%) and Sphingomonas (0.36%). The Shannon index value (3.05) and Simpson index value (0.1661) indicated low diversity in arsenic laden tailing. The culture dependent method exposed significant similarities with culture independent methods at the phylum level with Firmicutes, Proteobacteria and Actinobacteria, being common, and Firmicutes was the dominant phylum whereas, at the genus level, only Pseudomonas was presented by both methods. It showed high similarities between culture independent and dependent methods at the phylum level and large differences at the genus level, highlighting the complementarity between the two methods for identification of the native population bacteria in arsenic-rich mine. As a result, the present study can be a resource on microbes for bio-treatment of arsenic in mining waste.

Endometrial cancer patients have high affinity antibodies for estrogen metabolite-receptor aggregate: A potential biomarker for EC.

AIM: Elevated levels of 16α-hydroxyestrone (16α-OHE1 ) have been described in endometrial cancer (EC) and estrogen receptors (ER) expressed in endometrial tissue, but research on their combined role is lacking. We aimed to investigate the affinity and binding specificity of EC antibodies against the 16α-OHE1 -ERα aggregate in the serum of EC patients. Specificities of EC antibodies were also evaluated according to various clinical characteristics found in these cancer patients. METHODS: The binding specificity and affinity of EC antibodies against 16α-OHE1 -ERα in the serum of 120 EC patients were evaluated by direct binding and competition ELISA and quantitative precipitation titration. Binding of EC antibodies was also determined according to various clinical characteristics in EC patients through competition ELISA. RESULTS: Antibodies from EC patients demonstrated high recognition of 16α-OHE1 -ERα compared to ERα (P < 0.05) or 16α-OHE1 (P < 0.001). The relative affinity of EC IgG was 1.49 × 10-7 M, 1.34 × 10-6 M and 1.13 × 10-6 M for 16α-OHE1 -ERα, ERα and 16α-OHE1 , respectively. Several factors, such as obesity, postmenopausal status, use of hormonal therapy, ER and progesterone receptor (PR) status, low 2-OHE1 /16α-OHE1 ratio, chemotherapy and hypertension, augment the production of antibodies against 16α-OHE1 -ERα in EC patients. CONCLUSION: 16α-OHE1 -ERα is a high-affinity antigen for EC antibodies in the serum of EC patients and might function as a biomarker for this disease. Furthermore, several factors enhanced the production of antibodies against 16α-OHE1 -ERα in the sera of these EC patients.

Depression linked to higher antibodies production against estrogenized insulin in type 1 diabetes.

Depression has been commonly associated with type 1 diabetes (T1D) and insulin covalently modified with catecholestrogens (CEs) was found in serum of these T1D patients. This study aimed to know whether depression link to higher antibodies against estrogenized insulin in T1D. ELISA (direct binding and competition) and quantitative precipitin titration were used to detect antibodies and their affinities against estrogenized insulin in the serum of 66 depressed T1D (DT1D) patients (out of 110 T1D) and 41 control subjects. Antibodies from DT1D patients showed high binding specificity to estrogenized insulin (2-hydroestradiol-insulin; 2-OHE2-Ins) in comparison to overall T1D patients (p < 0.05) or control subjects (p < 0.001). However, T1D sera demonstrate high recognition to 2-OHE2-Ins as compared to Ins (p < 0.05) or 2-OHE2 (p < 0.001). The affinity of antibodies from DT1D and T1D patients was 1.32 × 10-7 M and 1.43 × 10-7 M, respectively. Depression linked to higher antibodies production against estrogenized insulin in T1D. Furthermore, depression in T1D generates inflammatory conditions that further increased antibodies production in T1D patients.

Estrogenization of insulin by catecholestrogen produced high affinity autoantibodies and altered the normal function of insulin in type 1 diabetes.

AIMS: Insulin (Ins) covalently modified by catecholestrogens (CEs) was commonly found in diabetic patients who have developed insulin resistance. Estrogenization of insulin altered its molecular function and effect carbohydrates metabolisms in these patients. Insulin resistance is a common phenomenon in diabetes but the exact mechanism remains unknown. In this study, binding specificity and affinity of autoantibodies against estrogenized insulin (4-hydroxyestradiol-insulin; 4-OHE2-Ins) were assayed in the serum of type 1 diabetes (T1D) patients in order to explain the phenomena behind insulin resistance. MATERIALS AND METHODS: Specificity and affinity of autoantibodies from the sera of 66 T1D patients and 41 controls were analyzed by direct binding, competition ELISA and quantitative precipitin titration. Insulin was also estimated in the serum of T1D patients by ELISA. KEY FINDING: Estrogenized insulin (4-OHE2-Ins) exhibited high affinity and specificity to T1D autoantibodies in comparison to Ins (p < .05) or 4-OHE2 (p < .001). Estrogenization of insulin alters its interaction with the insulin receptor (IR). The affinity constant of 4-OHE2-Ins with the T1D autoantibodies was found to be 1.41 × 10-7 M. SIGNIFICANCE: Estrogenization of insulin by catecholestrogen makes these molecules highly antigenic and produced high-affinity autoantibodies in T1D patients. As a result, patients develop insulin resistance and presented this molecule as a potential biomarker for T1D.

A novel nanocomposite of aminated silica nanotube (MWCNT/Si/NH2) and its potential on adsorption of nitrite.

Several parts of the world have been facing the problem of nitrite and nitrate contamination in ground and surface water. The acute toxicity of nitrite has been shown to be 10-fold higher than that of nitrate. In the present study, aminated silica carbon nanotube (ASCNT) was synthesised and tested for nitrite removal. The synergistic effects rendered by both amine and silica in ASCNT have significantly improved the nitrite removal efficiency. The IEP increased from 2.91 for pristine carbon nanotube (CNT) to 8.15 for ASCNT, and the surface area also increased from 178.86 to 548.21 m2 g-1. These properties have promoted ASCNT a novel adsorbent to remove nitrite. At optimum conditions of 700 ppm of nitrite concentration at pH 7 and 5 h of contact with 15 mg of adsorbent, the ASCNT achieved the maximal loading capacity of 396 mg/g (85% nitrite removal). The removal data of nitrite onto ASCNT fitted the Langmuir isotherm model better than the Freundlich isotherm model with the highest regression value of 0.98415, and also, the nonlinear analysis of kinetics data showed that the removal of nitrite followed pseudo-second-order kinetic. The positive values of both ΔS° and ΔH° suggested an endothermic reaction and an increase in randomness at the solid-liquid interface. The negative ΔG° values indicated a spontaneous adsorption process. The ASCNT was characterised using FESEM-EDX and FTIR, and the results obtained confirmed the removal of nitrite. Based on the findings, ASCNT can be considered as a novel and promising candidate for the removal of nitrite ions from wastewater.

Depression and its related parameters increased the production of autoantibodies against 16α-hydroxyestrone-albumin complex in systemic lupus erythematosus.

Depression is the common and early symptoms associated with early onset of SLE, 16α-hydroxyestrone (16α-OHE1) levels were found to be significantly higher in serum and urine in patients with SLE. This study was carried out in order to know whether depression and its related parameters in the SLE patients enhanced the production of autoantibodies against 16α-OHE1-albumin (A) complexes. The autoantibodies in the serum of 100 SLE [including 65 depressed SLE (DSLE)] patients and 37 control subjects were detected by using direct binding, inhibition ELISA and quantitative precipitin titration. Autoantibodies from DSLE patients (and also the patients who were taken anti-depressant and with neurological symptoms) showed high binding to 16α-OHE1-A in contrast to SLE (p < 0.05) and control subjects (p < 0.001). Although, SLE sera showed high recognition to 16α-OHE1-A in comparison to A (p < 0.05) or 16α-OHE1 (p < 0.001). The affinity of autoantibodies for 16α-OHE1-A was found to be high for DSLE (1.16 × 10-7 M) and SLE (1.24 × 10-7 M) patients as detected by Langmuir plot. The concentration of 16α-OHE1 (p < 0.05) and inflammatory cytokines (IL-6, p < 0.05 and IL-17, p < 0.001) in the serum of SLE patients was found to be significantly higher than controls. Depression and its related parameters in SLE enhanced the production of autoantibodies against 16α-OHE1-A through the generation of inflammatory conditions. Depression in SLE patients increased the release of pro-inflammatory cytokine (IL-6 and IL-17) that in turn generating more autoantibodies and showed strong recognition to 16α-OHE1-A.

The adsorptive removal of As (III) using biomass of arsenic resistant Bacillus thuringiensis strain WS3: Characteristics and modelling studies.

Globally, the contamination of water with arsenic is a serious health issue. Recently, several researches have endorsed the efficiency of biomass to remove As (III) via adsorption process, which is distinguished by its low cost and easy technique in comparison with conventional solutions. In the present work, biomass was prepared from indigenous Bacillus thuringiensis strain WS3 and was evaluated to remove As (III) from aqueous solution under different contact time, temperature, pH, As (III) concentrations and adsorbent dosages, both experimentally and theoretically. Subsequently, optimal conditions for As (III) removal were found; 6 (ppm) As (III) concentration at 37 °C, pH 7, six hours of contact time and 0.50 mg/ml of biomass dosage. The maximal As (III) loading capacity was determined as 10.94 mg/g. The equilibrium adsorption was simulated via the Langmuir isotherm model, which provided a better fitting than the Freundlich model. In addition, FESEM-EDX showed a significant change in the morphological characteristic of the biomass following As (III) adsorption. 128 batch experimental data were taken into account to create an artificial neural network (ANN) model that mimicked the human brain function. 5-7-1 neurons were in the input, hidden and output layers respectively. The batch data was reserved for training (75%), testing (10%) and validation process (15%). The relationship between the predicted output vector and experimental data offered a high degree of correlation (R2 = 0.9959) and mean squared error (MSE; 0.3462). The predicted output of the proposed model showed a good agreement with the batch work with reasonable accuracy.

Sleep Disorders Following Mild and Moderate Traumatic Brain Injury.

(1) Background: Sleeping disorders are frequently reported following traumatic brain injury (TBI). Different forms of sleeping disorders have been reported, such as sleepiness, insomnia, changes in sleeping latency, and others. (2) Methods: A case-control study with 62 patients who were victims of mild or moderate TBI with previous admissions to Iraqi tertiary neurosurgical centers were enrolled as the first group, and 158 patients with no history of trauma were considered as the control. All were 18 years of age or older, and the severity of the trauma and sleep disorders was assessed. The Pittsburgh sleep quality index was used to assess sleep disorders with average need for sleep per day and average sleep latency were assessed in both groups. Chi-square and t-test calculations were used to compare different variables. (3) Results: 39 patients (24.7%) of the controlled group experienced sleeping disorders compared to TBI group with 45 patients (72.6%), P-value < 0.00001. A total of 42 patients were diagnosed on admission as having a mild degree of TBI (mean GCS 13.22 ± 1.76) and 20 patients were diagnosed with moderate TBI (mean GCS11.05 ± 1.14. 27). A total of 27 (46.28%) patients with mild severity TBI and 18 patients (90%) of moderate severity were considered to experience sleeping disorders, P-value 0.0339. Each of the mild and moderate TBI subgroups show a P-value < 0.00001 compared to the control group. Average sleep hours needed per day for TBI and the control were 8.02 ± 1.04 h and 7.26 ± 0.58 h, respectively, P-value < 0.00001. Average sleep latency for the TBI and the control groups were 13.32 ± 3.16 min and 13.93 ± 3.07 min respectively, P-value 0.065. (4) Conclusion: Sleep disturbances are more common following mild and moderate TBI three months after the injury with more hours needed for sleep per day and no significant difference in sleep latency. Sleep disturbances increase in frequency with the increase in the severity of TBI.

16 α-Hydroxyestrone induced adduct generate high affinity autoantibodies in SLE.

PURPOSE: Increased 16 α-hydroxyestrone (16 α-OHE1) and autoantibodies against histone H1 (H1) have been well described in systemic lupus erythematosus (SLE), but the combination effects of 16 α-OHE1 and H1 remains unclear. Here, we tried to assess the affinity and binding specificity of SLE autoantibodies against the 16 α-OHE1-H1 adduct. IgG was induced against this adduct and was also used as immunochemical probe for the estimation of 16 α-OHE1 in the serum of SLE patients. MATERIALS AND METHODS: The affinity and binding specificities of SLE autoantibodies against 16 α-OHE1-H1 were determined by direct binding and inhibition ELISA as well as quantitative precipitation titration in 60 patients and 30 control subjects. RESULTS: Purified SLE autoantibodies showed greater recognition to 16 α-OHE1-H1 over H1 (p < 0.05) or 16 α-OHE1 (p < 0.001). The relative affinity of SLE autoantibodies for 16 α-OHE1-H1, H1 and 16 α-OHE1 was 1.41 × 10-7, 1.31 × 10-6, and 1.03 × 10-6, respectively. The concentration of 16 α-OHE1 in the sera of SLE patients was significantly higher than controls (p < 0.05) as estimated by anti-16 α-OHE1-H1 antibodies. CONCLUSIONS: High affinity of 16 α-OHE1-H1 with SLE autoantibodies might suggest an antigenic role of this adduct in the production of these autoantibodies. The anti-16 α-OHE1-H1 antibody is a good immunochemical probe to measure 16 α-OHE1 in different SLE sera.

Depression enhanced the production of autoantibodies against 16α­hydroxyestrone-estrogen receptor adduct in breast cancer.

Mentally depressed breast cancer (MDBC) patients expressed estrogen receptor (ER) and 16α­hydroxyestrone (16α­OHE1) is directly responsible for causing breast cancer (BC). This study aimed to identify whether depression in breast cancer patients enhanced the production of autoantibodies against 16α­OHE1-ER adduct in breast cancer patients. The antibodies in the serum of 65 breast cancer patients (including 35 MDBC) and 40 control subjects were screened by direct binding, inhibition enzyme-linked immunosorbent assay (ELISA), and quantitative precipitin titration. Competition ELISA was also utilized for the estimation of 16α­OHE1 in the serum of 30 cancer patients. Autoantibodies from MDBC showed strong recognition to 16α­OHE1-ER in comparison to overall breast cancer patients (p < 0.05) and control subjects (p < 0.001). Although breast cancer sera showed high binding to 16α­OHE1-ER in comparison to ER (p < 0.05) or 16α­OHE1 (p < 0.001), the relative affinities of autoantibodies for 16α­OHE1-ER were found to be 1.38 × 10-7 and 1.23 × 10-7 for breast cancer and MDBC patients respectively. No significant difference, either in the level of 16α­OHE1 or 2­hydroxyestrone/16α­OHE1 ratio, was observed in the serum of cancer patients compared with controls, although inflammatory cytokines (IL-6, TNF-α) were significantly high in these patients. Depression in breast cancer patients augments the production of autoantibodies against 16α­OHE1-ER through the generation of inflammatory conditions. Depression in these patients increased the release of pro-inflammatory cytokines that generate more autoantibodies and show strong binding with 16α­OHE1-ER.

Arsenic biosorption using pretreated biomass of psychrotolerant Yersinia sp. strain SOM-12D3 isolated from Svalbard, Arctic.

A Gram-negative, arsenite-resistant psychrotolerant bacterial strain, Yersinia sp. strain SOM-12D3, was isolated from a biofilm sample collected from a lake at Svalbard in the Arctic area. To our knowledge, this is the first study on the ability of acid-treated and untreated, non-living biomass of strain SOM-12D3 to absorb arsenic. We conducted batch experiments at pH 7, with an initial As(III) concentration of 6.5 ppm, at 30 °C with 80 min of contact time. The Langmuir isotherm model fitted the equilibrium data better than Freundlich, and the sorption kinetics of As(III) biosorption followed the pseudo-second-order rate equation well for both types of non-living biomass. The highest biosorption capacity of the acid-treated biomass obtained by the Langmuir model was 159 mg/g. Further, a high recovery efficiency of 96% for As(III) was achieved using 0.1 M HCl within four cycles, which indicated high adsorption/desorption. Fourier transformed infrared (FTIR) demonstrated the involvement of hydroxyl, amide, and amine groups in As(III) biosorption. Field emission scanning electron microscopy-energy dispersive analysis (FESEM-EDAX) indicated the different morphological changes occurring in the cell after acid treatment and arsenic biosorption. Our results highlight the potential of using acid-treated non-living biomass of the psychrotolerant bacterium, Yersinia sp. Strain SOM-12D3 as a new biosorbent to remove As(III) from contaminated waters.

Detection of 16α-Hydroxyestrone-histone 1 Adduct as High-Affinity Antigen for Rheumatoid Arthritis Autoantibodies.

Increased concentrations of 16α-hydroxyestrone (16α-OHE1) have been observed in rheumatoid arthritis (RA), but the underlying mechanism of this remains elusive. Here we aimed to identify the role played by 16α-OHE1 in RA. In 40 RA patients, the specificities of antibodies from the sera of these patients were checked by direct binding, inhibition ELISA, and quantitative precipitation titration. Competition ELISA was also used for the estimation of 16α-OHE1 in the serum of different RA patients. RA IgG from a patient's sera showed strong recognition to 16α-OHE1-H1 (histone 1) adduct in comparison to control subjects (p < 0.001), as the formation of this adduct brings out various biochemical changes that might generate neo-epitopes, which have been well-recognized by these antibodies. The affinity of RA antibodies for 16α-OHE1-H1 (1.10 × 10- 7 M) was high, as detected by the Langmuir plot. Comparing RA patients to the controls, no significant differences were detected in the level of 16α-OHE1 or 2-hydroxyestrone/16α-OHE1 ratio. 16α-OHE1-H1 might have an antigenic role and function as a high-affinity antigen for RA autoantibodies and, therefore, could be used as a biomarker for this disease.