Cutaneous Leishmaniasis

Cutaneous leishmaniasis (CL) is a widespread parasitic infection caused by the Leishmania, which is carried by female sandflies. The symptoms include basic ulcer to lethal systemic disease i.e., formation of widely dispersed skin lesions of diverse types. Almost 350 million individuals are at danger and the disease is endemic in more than 98 countries. There are globally 12 million cases, with 2–2.5 million new cases annually. Cutaneous leishmaniasis is considered as critically neglected disease by WHO. Earlier it was difficult to identify the infecting parasite, but modern DNA techniques make it quite simple to identify the Leishmania species, allowing quick treatment decisions. The quick identification of Leishmania is made possible using the PCR method. There is currently no vaccination to prevent leishmaniasis, and pharmacological treatment is frequently ineffectual. There is a need for broad and well-conducted investigations to help its control. Amphotericin B, pentamidine isethionate, paromomycin, and antifungals are some of the drugs recommended for treatment. By organising direct, in-person training, which is a crucial step in improving attitudes and preventative actions toward CL and its control in endemic areas, it is necessary to underline the significance and necessity of teaching this at-risk population

Cutaneous Candidiasis

Cutaneous candidiasis is a multipicture infection of the skin, generally caused by yeast like fungus c.albicans or other species of genus candida such as candida parapsilosis, candida tropicalis, candida glabrata but these species are unusual, secondary to skin diseases. Candida is flora of gut microbiota, rather than skin, although it is present on skin at some instances. Certain factor of candida species such as ability to evade host defense by biofilm formation, filamentous form and presence of tissue damaging enzyme phospholipase are attributed to pathogenicity. Cutaneous candida infection may occur in patient HIV/AIDS, cancer receiving chemotherapy, antibiotics, steroids therapy and in organ transplantation. Vesicles, pustules, maceration and fissuring are common symptoms on perineum, axilla and interriginous areas. Systemic and topical therapies are common treatment with different drugs. Single drug therapy as combination of anti-fungal, antibacterial and topical corticosteroid has marvelous results. Nystatin, Clotrimaziole and miconazole are efficiently reviewed topical drugs with 73–100% cure

Exploring Health Impacts of Occupational Exposure to Carbon Monoxide in the Labour Community of Hattar Industrial Estate

This study was designed to assess the health impacts related to noninvasive carbon monoxide saturation (SPCO %) in the blood of respondents. For this purpose, 150 respondents from the labour community of Hattar Industrial Estate (testing site) and 100 respondents from Sultan Pur (control site) were selected. To achieve this objective, a Rad-57 Pulse CO-Oximeter was used for noninvasive carboxyhemoglobin measurement. Carbon monoxide saturation (SPCO%) in the blood of respondents from Hattar Industrial Estate, Haripur, Pakistan has been compared with the WHO’s standard concentration of SPCO% (5%). High saturation of carbon monoxide (carboxyhemoglobin SPCO) in the blood of respondents and disease association have been interpreted in graphs formed on the basis of statistical analysis in terms of frequencies, using statistical software (SPSS), based on demographic entries as well as exposure time of the employees in the processing, food and steel industries. The highest SPCO% measured was 17% in the steel industry and the lowest measured level was 4.2%. Frequencies and percentages of respiratory inflammation, dermatosis, asthma, breathing issues and eye inflammation among respondents were 29%, 35%, 16.7%, 23.5% and 9%, respectively. Prevalence of disease in three different groups of respondents (from three testing sites) was also analyzed on the basis of exposure time (hrs.) to carbon monoxide emissions. Prevalence of disease among the exposed and non-exposed groups was analyzed and showed comparatively lower disease prevalence in the group of respondents who were not exposed to high carbon monoxide emissions. The data of the current study was also subjected to statistical modelling to find the health risk of air pollutants (carbon monoxide) on population health by calculating attributable risk (AR) or attributable proportion (AP). Results indicated that attributable risk of carbon monoxide exposure for respiratory diseases, dermatosis and eye inflammation were 61.12%, 65.77% and 24.95% respectively. Findings of statistical modelling indicated that dermatosis and respiratory diseases were more prevalent in laborers of industrial units than those at control site

Deep fake detection and classification using error-level analysis and deep learning

Abstract Due to the wide availability of easy-to-access content on social media, along with the advanced tools and inexpensive computing infrastructure, has made it very easy for people to produce deep fakes that can cause to spread disinformation and hoaxes. This rapid advancement can cause panic and chaos as anyone can easily create propaganda using these technologies. Hence, a robust system to differentiate between real and fake content has become crucial in this age of social media. This paper proposes an automated method to classify deep fake images by employing Deep Learning and Machine Learning based methodologies. Traditional Machine Learning (ML) based systems employing handcrafted feature extraction fail to capture more complex patterns that are poorly understood or easily represented using simple features. These systems cannot generalize well to unseen data. Moreover, these systems are sensitive to noise or variations in the data, which can reduce their performance. Hence, these problems can limit their usefulness in real-world applications where the data constantly evolves. The proposed framework initially performs an Error Level Analysis of the image to determine if the image has been modified. This image is then supplied to Convolutional Neural Networks for deep feature extraction. The resultant feature vectors are then classified via Support Vector Machines and K-Nearest Neighbors by performing hyper-parameter optimization. The proposed method achieved the highest accuracy of 89.5% via Residual Network and K-Nearest Neighbor. The results prove the efficiency and robustness of the proposed technique; hence, it can be used to detect deep fake images and reduce the potential threat of slander and propaganda

Haematological alterations under the anti-helminthic application in Pavo cristatus

ABSTRACTAnti-helminthic drugs (Albendazole and Levamisole) trials were conducted on Indian Peafowls (n = 20) kept at Jallo Wildlife Park, Lahore, Pakistan for 15. Sampling was conducted on days 7 and 15 of treatments. The results showed that the WBC count was significantly (P < 0.05) higher in both samples in response to Levamisole treatment. Haemoglobin (HGB) and Mean Corpuscular Haemoglobin Concentration (MCHC) concentration increased significantly (P < 0.05) in response to both treatments; however, Mean Corpuscular Haemoglobin (MCH) decreased significantly (P < 0.05) in Albendazole-treated birds on both the sampling days compared to the control. Red Blood Cell Distribution Width-Standard Deviation (RDW-SD) decreased significantly (P < 0.05) in all treatment groups. On the other hand, the prevalence of eggs per gram (EPG) was reduced by 20% after the application of Levamisole on days 7 and 15. It was concluded that both drugs had significant effects on WBCs, HGB, MCH, MCHC and RDW-SD

Diesel exhaust particulate matter impairs Toll-like receptor signaling and host defense against staphylococcal cutaneous infection in mice

Air pollution is an emerging cause of mortality, affecting nearly 5 million people each year. Exposure to diesel exhaust fine particulate matter (PM2.5) aggravates respiratory and skin conditions. However, its impact on the protective immunity of the skin remains poorly understood. This study aimed to investigate the underlying molecular mechanism for adverse effects of PM2.5 on the host protective immunity using in vitro cell and in vivo mouse model. Intracellular translocation of Toll-like receptor 9 (TLR9) and CpG-DNA internalization were assessed in dendritic cells without or with PM2.5 treatment using immunofluorescence staining. Cytokine and nitric oxide production were measured in dendritic cells and macrophages without or with PM2.5 treatment. NF-κB and MAPK signaling was determined using western blotting. Skin disease severity, bacterial loads, and cytokine production were assessed in cutaneous Staphylococcus aureus (S. aureus) infection mouse model. PM2.5 interfered with TLR9 activation by inhibiting both TLR9 trafficking to early endosomes and CpG-DNA internalization via clathrin-mediated endocytosis. In addition, exposure to PM2.5 inhibited various TLR-mediated nitric oxide and cytokine production as well as MAPK and NF-κB signaling. PM2.5 rendered mice more susceptible to staphylococcal skin infections. Our results suggest that exposure to PM impairs TLR signaling and dampens the host defense against staphylococcal skin infections. Our data provide a novel perspective into the impact of PM on protective immunity which is paramount to revealing air pollutant-mediated toxicity on the host immunity

Comparative study of microscale and macroscale technique for encapsulation of Calotropis gigantea extract in metal-conjugated nanomatrices for invasive ductal carcinoma

Abstract The encapsulation of plant extract in nanomatrices has limitations due to its adhesion to walls, size control, high cost and long durations that results in low yield. Macroscale and microscale level techniques for development of micro/nanoparticles may impact the encapsulation of plant extract. This study aimed to evaluate the relative efficiency of microscale and macroscale techniques for encapsulation of plant extract, which is not compared yet. Keeping this in view, encapsulation of Calotropis gigantea leaves extract (CaG) was attained in silver-conjugated poliglusam nanomatrices (POL/Ag) to induce apoptosis in invasive ductal carcinoma (IDC) cells. The ethanolic CaG extract was prepared using percolation method and characterized by chemical tests for its active phytochemical compounds. The droplet-based microfluidic system was utilized as microscale encapsulation technique for CaG in nanomatrices at two different aqueous to oil flow rate ratios 1.0:1.5, and 1.0:3.0. Moreover, conventional batch system was utilized as macroscale encapsulation technique consisted of hot plate magnetic stirrer. The prepared nanomatrices were analysed for antioxidant activity using DPPH test and for cytotoxicity analysis using MCF-7 cells. The characteristic peaks of UV–Vis, FTIR and XRD spectrum confirmed the synthesis of CaG(POL/Ag) by both the encapsulation methods. However, microfluidic system was found to be more expedient because of attaining small and uniform sized silver nanoparticles (92 ± 19 nm) at high flow rate and achieving high encapsulation efficiency (80.25%) as compared to the conventional batch method (52.5%). CaG(POL/Ag) nanomatrices found to have significant antioxidant activity (p = 0.0014) against DPPH radical scavenging activity. The CaG(POL/Ag) of the smallest sized formulated by the microfluidic system has also shown the highest cytotoxicity (90%) as compared to batch method (70%) at 80 µg/mL. Our results indicate that the microscale technique using microfluidic system is a more efficient method to formulate size-controlled CaG(POL/Ag) nanomatrices and achieve high encapsulation of plant extract. Additionally, CaG(Pol/Ag) was found to be an efficient new combination for inducing potent (p < 0.0001) apoptosis in IDC cells. Therefore, CaG(Pol/Ag) can be further tested as an anti-cancer agent for in-vivo experiments

Biological Activities of Methanolic Extract of Aegle marmelos against HN Protein of Newcastle Disease Virus

The current study explores the methanolic extracts of the leaves and fruit of Aegle marmelos (Bael) for their total phenolic content (TPC), total flavonoids content (TFC), antioxidants, and antibiofilms, as well as its in ovo antiviral potential against Newcastle disease virus (NDV). The drug-likeliness thereof and the potential identification of an interaction—their molecular docking of ligands with target proteins by GOLD—was determined in silico using the Swiss ADME software. The total flavonoids content (TFC) was 135.17 ± 2.02 and 111.2 ± 3.67 mg QE/g, while the total phenolics content (TPC) was 185.02 ± 2.15 and 171.13 ± 6.73 mg GAE/g, in the fruit and leaves extracts, respectively. In a DPPH assay, the IC50 value for the methanolic extracts of leaves and fruit was 63.52 ± 1.48 and 52.06 ± 1.62. μg/mL d.w. The fruit extract of A. marmelos showed significantly higher reducing power (i.e., 59.32 ± 0.05 µmol/g d.w) than the leaves extract (p &lt; 0.05). The biofilm-inhibition activity of the fruit extract of A. marmelos was 65.78 ± 0.65 µg/mL. Both parts of the plant showed potent antiviral potential at higher concentrations. A study in silico, using the molecular docking of three compounds, showed good interaction with the HN protein, with considerable binding affinities and fulfilled docking parameters. This work shows that Aegle marmelos and its phytoconstituents can be used as a potential remedy for NDV

Effect of microwave sintering on the crystal domain and electrical properties of TiO2 nanoparticles

We report the effect of microwaves sintering on the crystal domain and electrical properties of TiO2 nanoparticles. Commercially available TiO2 nanoparticles of 25 nm size were coated on ITO (indium tin oxide) substrates, which were then sintered at 450 C employing microwave and conventional sintering approaches. The structural properties of the sintered coatings were examined using atomic force microscopy (AFM), scanning electron microscope (SEM), X-ray diffraction (XRD), and energy-dispersive X-ray spectroscopy (EDS), whereas the charge transfer properties were investigated using electrochemical impedance spectroscopy (EIS). Structural analysis reveals that the microwave sintering of TiO2-coated substrates results in the formation of more ordered crystal structure as compared to the conventionally sintered samples. Nyquist plots demonstrate the improved charge transfer characteristics of TiO2 nanoparticles in microwave-sintered layers. Also, the application of the microwave-sintered TiO2-coated ITO substrates as photoanode in dye-sensitized solar cells (DSSCs) confirms superior electrical properties compared to conventionally sintered samples.Scopu