Assessment of groundwater quality in arid regions utilizing principal component analysis, GIS, and machine learning techniques.

Assessing water quality in arid regions is vital due to scarce resources, impacting health and sustainable management.This study examines groundwater quality in Assuit Governorate, Egypt, using Principal Component Analysis, GIS, and Machine Learning Techniques. Data from 217 wells across 12 parameters were analyzed, including TDS, EC, Cl-, Fe++, Ca++, Mg++, Na+, SO4--, Mn++, HCO3-, K+, and pH. The Water Quality Index (WQI) was calculated, and ArcGIS mapped its spatial distribution. Machine learning algorithms, including Ridge Regression, XGBoost, Decision Tree, Random Forest, and K-Nearest Neighbors, were used for predictive analysis. Higher concentrations of Na, K, Ca, Mg, Mn, and Fe were correlated with industrial and densely populated areas. Most samples exhibited excellent or good quality, with a small percentage unsuitable for consumption. Ridge Regression showed the lowest MAPE rates (0.22 % training, 0.26 % in testing). This research highlights the importance of advanced machine learning for sustainable groundwater management in arid regions. Thus, our results could provide valuable assistance to both national and local authorities involved in water management decisions, particularly for water resource managers and decision-makers. This information can aid in the development of regulations aimed at safeguarding and sustainably managing groundwater resources, which are essential for the overall prosperity of the country.

A deep learning-based approach for predicting COVID-19 diagnosis.

This paper focuses on forecasting the total count of confirmed COVID-19 cases in Saudi Arabia through a range of methodologies, including ARIMA, mathematical modeling, and deep learning network (DQN) techniques. Its primary aim is to anticipate the verified COVID-19 cases in Saudi Arabia, aiding in decision-making for life-saving interventions by enhancing awareness of COVID-19 infection. Mathematical modeling and ARIMA are employed for their efficacy in forecasting, while DQN approaches, particularly through comparative analysis, are utilized for prediction. This comparative analysis evaluates the predictive capacities of ARIMA, mathematical modeling, and DQN techniques, aiming to pinpoint the most reliable method for forecasting positive COVID-19 cases. The modeling encompasses COVID-19 cases in Saudi Arabia, the United Kingdom (UK), and Tunisia (TU) spanning from 2020 to 2021. Predicting the number of individuals likely to test positive for COVID-19 poses a challenge, requiring adherence to fundamental assumptions in mathematical and ARIMA projections. The proposed methodology was implemented on a local server. The DQN algorithm formulates a reward function to uphold target functional performance while balancing training and testing periods. The findings indicate that DQN technology surpasses conventional approaches in efficiency and accuracy for predictions.

Exposure to Brucella Species, Coxiella burnetii, and Trichinella Species in Recently Imported Camels from Sudan to Egypt: Possible Threats to Animal and Human Health.

Brucellosis and coxiellosis/Q fever are bacterial infections caused by Brucella species and Coxiella burnetii, respectively; camels are highly susceptible to both pathogens. Trichinellosis is a parasitic infection caused by various Trichinella nematode species. Reportedly, camels are susceptible to experimental infection with Trichinella spp., but information on this potential host species is scarce. All three infections are of zoonotic nature and thus of great public health concern. The current study aimed to determine antibodies against the three pathogens in recently imported camels (n = 491) from Sudan at the two main ports for the entrance of camels into southern Egypt using commercial indirect ELISAs. Samples were collected in two sampling periods. The seropositivity rates of Brucella spp., C. burnetii, and Trichinella spp. were 3.5%, 4.3%, and 2.4%, respectively. Mixed seropositivity was found in 1% for Brucella spp. and C. burnetii. Marked differences were found between the two study sites and the two sampling periods for Brucella. A higher rate of seropositivity was recorded in the Red Sea/older samples that were collected between 2015 and 2016 (4.3%, 17/391; odds ratio = 9.4; p < 0.030) than in those collected in Aswan/recent samples that were collected between 2018 and 2021 (0/100). Concerning C. burnetii, samples collected during November and December 2015 had a significantly higher positivity rate than the other samples (13%, 13/100; OD = 4.8; p < 0.016). The same effect was observed for antibodies to Trichinella spp., with samples collected during November and December 2015 showing a higher positivity rate than the other samples (7%, 7/100; OD = 10.9; p < 0.001). This study provides valuable information on the seroprevalence of Brucella spp. and additional novel information on C. burnetii and Trichinella spp. in recently imported camels kept in quarantine before delivery to other Egyptian regions. This knowledge can be utilized to reduce health hazards and financial burdens attributable to brucellosis, Q fever, and trichinellosis in animals and humans in Egypt.

Correction: Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction.

[This corrects the article DOI: 10.1371/journal.pone.0296107.].

Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction.

Cervical cancer remains a leading cause of female mortality, particularly in developing regions, underscoring the critical need for early detection and intervention guided by skilled medical professionals. While Pap smear images serve as valuable diagnostic tools, many available datasets for automated cervical cancer detection contain missing data, posing challenges for machine learning models' efficacy. To address these hurdles, this study presents an automated system adept at managing missing information using ADASYN characteristics, resulting in exceptional accuracy. The proposed methodology integrates a voting classifier model harnessing the predictive capacity of three distinct machine learning models. It further incorporates SVM Imputer and ADASYN up-sampled features to mitigate missing value concerns, while leveraging CNN-generated features to augment the model's capabilities. Notably, this model achieves remarkable performance metrics, boasting a 99.99% accuracy, precision, recall, and F1 score. A comprehensive comparative analysis evaluates the proposed model against various machine learning algorithms across four scenarios: original dataset usage, SVM imputation, ADASYN feature utilization, and CNN-generated features. Results indicate the superior efficacy of the proposed model over existing state-of-the-art techniques. This research not only introduces a novel approach but also offers actionable suggestions for refining automated cervical cancer detection systems. Its impact extends to benefiting medical practitioners by enabling earlier detection and improved patient care. Furthermore, the study's findings have substantial societal implications, potentially reducing the burden of cervical cancer through enhanced diagnostic accuracy and timely intervention.

The significance of concurrent MYC and BCL2 expression in Egyptian patients with diffuse large B-cell NHL.

This study aimed to investigate the frequency of MYC/BCL2 co-expression using immunohistochemistry (IHC) in Egyptian patients with diffuse large B-cell lymphoma (DLBCL) and its impact on treatment outcomes, overall survival (OS), and disease-free survival (DFS). A total of 100 adult patients with newly diagnosed DLBCL were included in the study and treated with the R-CHOP regimen. The cases were classified into germinal center B-cell (GCB) and non-germinal center B-cell (non-GCB) subtypes based on IHC. Our results showed that a subset of the studied cases didn't achieve complete remission (CR) after chemotherapy (22%). Co-expression of MYC and BCL2 was observed in 20% of the cases, with most of them belonging to the non-GCB subtype. The CR rate was significantly lower in the double-expressor (DE) group (45%), while no significant difference was observed in CR between the GCB and non-GCB cases. The DE group was associated with advanced stage, extra-nodal involvement, and high-risk R-International Prognostic Index (R-IPI). Both the non-DE and GCB groups demonstrated better DFS, while the non-DE group only showed better OS. Both non-DE status and GCB subtype were identified as independent factors affecting DFS. In conclusion, the concurrent expression of MYC and BCL2 in DLBCL indicates an inferior outcome and lower chemotherapy response. The current chemotherapeutic strategy has not effectively improved the outcomes of this aggressive lymphoma subtype. Therefore, the identification of these patients is crucial for selecting appropriate treatment options.

UPLC/ESI/MS profiling of red algae Galaxaura rugosa extracts and its activity against malaria mosquito vector, Anopheles pharoensis, with reference to Danio rerio and Daphnia magna as bioindicators.

BACKGROUND: Anopheles pharoensis has a major role in transmitting several human diseases, especially malaria, in Egypt?. Controlling Anopheles is considered as an effective strategy to eliminate the spread of malaria worldwide. Galaxaura rugosa is a species of red algae found in tropical to subtropical marine environments. The presence of G. rugosa is indicative of the ecosystem's overall health. The current work aims to investigate UPLC/ESI/MS profile of G. rugosa methanol and petroleum ether extracts and its activity against An. pharoensis and non-target organisms, Danio rerio and Daphnia magna. METHODS: Galaxaura rugosa specimens have been identified using DNA barcoding for the COI gene and verified as G. rugosa. The UPLC/ESI/MS profiling of G. rugosa collected from Egypt was described. The larvicidal and repellent activities of G. rugosa methanol and petroleum ether extracts against An. pharoensis were evaluated, as well as the toxicity of tested extracts on non-target organisms, Dan. rerio and Dap. magna. RESULTS: The UPLC/ESI/MS analysis of methanol and petroleum ether extracts led to the tentative identification of 57 compounds belonging to different phytochemical classes, including flavonoids, tannins, phenolic acids, phenyl propanoids. Larval mortality was recorded at 93.33% and 90.67% at 80 and 35 ppm of methanol and petroleum ether extracts, respectively, while pupal mortality recorded 44.44 and 22.48% at 35 and 30 ppm, respectively. Larval duration was recorded at 5.31 and 5.64 days by methanol and petroleum ether extracts at 80 and 35 ppm, respectively. A decrease in acetylcholinesterase (AChE) level and a promotion in Glutathione-S-transferase (GST) level of An. pharoensis 3rd instar larvae were recorded by tested extracts. The petroleum ether extract was more effective against An. pharoensis starved females than methanol extract. Also, tested extracts recorded LC50 of 1988.8, 1365.1, and 11.65, 14.36 µg/mL against Dan. rerio, and Dap. magna, respectively. CONCLUSIONS: Using red algae derivatives in An. pharoensis control could reduce costs and environmental impact and be harmless to humans and other non-target organisms.

Ultrasound-guided continuous erector spinae plane block vs continuous thoracic epidural analgesia for the management of acute and chronic postthoracotomy pain: a randomized, controlled,double-blind trial.

Introduction: Postthoracotomy pain (PTP) is a severe pain complicating thoracic surgeries and its good management decreases the risk of PTP syndrome (PTPS). Objectives: This randomized controlled study evaluated the efficacy of ultrasound-guided continuous erector spinae plane block (ESPB) with or without dexmedetomidine compared with thoracic epidural analgesia (TEA) in managing acute postoperative pain and the possible emergence of PTPS. Methods: Ninety patients with chest malignancies planned for thoracotomy were randomly allocated into 3 equal groups. Group 1: TEA (20 mL of levobupivacaine 0.25% bolus, then 0.1 mL/kg/h of levobupivacaine 0.1%), group 2: ESPB (20 mL of levobupivacaine only 0.1% bolus every 6 hours), and group 3: ESPB (20 mL of levobupivacaine 0.25% and 0.5 µg/kg of dexmedetomidine Hcl bolus every 6 hours). Results: Resting and dynamic visual analog scales were higher in group 2 compared with groups 1 and 3 at 6, 24, and 36 hours and at 8 and 12 weeks. Postthoracotomy pain syndrome incidence was higher in group 2 compared with groups 1 and 3 at 8 and 12 weeks, whereas it was indifferent between groups 1 and 3. The grading system for neuropathic pain score was higher in group 2 compared with groups 1 and 3 at 8 and 12 weeks, whereas it was indifferent between groups 1 and 3. Itching, pruritis, and urine retention were higher in group 1 than in ESPB groups. Conclusion: Ultrasound-guided ESPB with dexmedetomidine is as potent as TEA in relieving acute PTP and reducing the possible emergence of chronic PTPS. However, the 2 techniques were superior to ESPB without dexmedetomidine. Erector spinae plane block has fewer side effects compared with TEA.

A Cryptosporidium parvum vaccine candidate effect on immunohistochemical profiling of CD4+, CD8+, Caspase-3 and NF-κB in mice.

BACKGROUND: Cryptosporidium parvum is a protozoan parasite of medical and veterinary importance that causes neonatal diarrhea in many vertebrate hosts. In this study, we evaluated the efficacy of an affinity-purified antigen as a C. parvum vaccine candidate using ileal and liver tissues of experimentally infected neonatal mice by immunohistochemical profiling and immune scoring of CD4+, CD8+, Caspase-3, and nuclear factor kappa B (NF-κB). This vaccine was prepared from the C. parvum oocysts antigen using immune affinity chromatography with cyanogen bromide-activated Sepharose-4B beads. METHODS: Thirty neonatal mice were divided into three groups (10 mice/group): (1) non-immunized non-infected, (2) non-immunized infected (using gastric tubes with a single dose of 1 × 105 of C. parvum oocysts in 250 µl PBS solution 1 h before a meal) and (3) immunized (twice with 40 µg/kg of purified C. parvum antigen at 2-week intervals and then infected with 1 × 105 C. parvum oocysts simultaneously with the second group). After euthanizing the animals on the 10th day, post-infection, their ileal and liver tissues were collected and prepared for immunohistochemistry (IHC) staining to detect CD4+, CD8+, Caspase-3, and NF-κB levels, which are indicators for T helper cells, cytotoxic T cells, apoptosis, and inflammation, respectively. RESULTS: The IHC results showed that CD4+, CD8+, Caspase-3, and NF-κB expression varied significantly (P < 0.001) in both organs in all the groups. We also recorded high CD4+ levels and low CD8+ expression in the non-immunized non-infected mice tissues, while the opposite was observed in the non-immunized infected mice tissues. In the immunized infected mice, the CD4+ level was higher than CD8 + in both organs. While the Caspase-3 levels were higher in the ileal tissue of non-immunized infected than immunized infected mice ileal tissues, the reverse was seen in the liver tissues of both groups. Furthermore, NF-κB expression was higher in the liver tissues of non-immunized infected mice than in immunized infected mice tissues. Therefore, the IHC results and immune-scoring program revealed a significant difference (P < 0.001) in the CD4+, CD8+, Caspase-3, and NF-κB expression levels in both ileal and liver tissues of all mice groups, which might be necessary for immunomodulation in these tissues. CONCLUSIONS: The improvement observed in the immunized infected mice suggests that this vaccine candidate might protect against cryptosporidiosis.

Purification and characterization of cysteine protease of Sarcocystis fusiformis from infected Egyptian water buffaloes.

Sarcocystis spp. infects water buffaloes (Bubalus bubalis) causing sarcocystosis. In the present study, Sarcocystis fusiformis was recognized in Egyptian water buffaloes based on histological observation and molecular analysis of internal transcribed spacer 1 (ITS1), 18S ribosomal RNA (18S rRNA) and cytochrome c oxidase subunit I (COX-1) gene fragments. Chemotherapy and vaccines against Sarcocystis spp. could potentially target proteases because they may play a crucial role in the infection. Cysteine proteases are multifunctional enzymes involved in vital metabolic processes. However, the involvement of proteases in S. fusiform infection has not yet been characterized. Here, the purification and study on some biochemical properties of protease isolated from cysts of S. fusiform were carried out. Protease with a molecular weight of 100 kDa was purified. LC-MS/MS analyzed the protein sequence of purified protease and the data suggested that the enzyme might be related to the cysteine protease. The purified protease exhibited maximum activity at pH 6 and a temperature of 50 °C. The Michaelis-Menten constant (Km), the maximum velocity (Vmax), and the turnover number (Kcat) were determined. The complete inhibition effect of cysteine inhibitors indicated that the purified enzyme is a cysteine protease. The results suggested that S. fusiform proteolytic enzyme may be necessary for parasite survival in water buffaloes by digesting host tissues. Therefore, cysteine protease could be a suitable target for vaccinations.

Post-transplantation Cyclophosphamide-based Graft-versus-host-disease Prophylaxis Compared to Methotrexate-cyclosporine a in Matched-related Allogeneic Hematopoietic Stem Cell Transplantation.

BACKGROUND AND OBJECTIVES: Post-transplant cyclophosphamide (PTCy) has shown promising results with low rates of severe graft-versus-host-disease (GVHD), either alone or combined with conventional immunosuppression (CIS). However, studies comparing PTCy with CIS as a GVHD prophylaxis are scarce. The study aimed to determine the rates of GVHD and survival outcomes for patients undergoing peripheral blood stem cell transplant (PBSCT) from HLA-matched related donors (MRD) receiving PTCy-based GVHD prophylaxis and compare these outcomes with those of patients receiving methotrexate (MTX) and cyclosporine-A (CsA) as a GVHD prophylaxis. PATIENTS AND METHODS: Seventy-five patients with advanced hematologic malignancies who underwent MRD allogeneic hematopoietic cell transplantation (allo-HCT) were analyzed prospectively. These patients received PTCy and CSA as a GVHD prophylaxis (therapeutic group) and their outcomes were compared with those of 75 retrospectively collected patients who received methotrexate and CsA as a GVHD prophylaxis (historical group) from the same two transplant centers. RESULTS: The median recipient age was significantly lower in the MTX/CsA group at 28 years compared to 34 years in the PTCy/CSA group. Peripheral blood was the only graft source used. All patients had a complete MRD, with two patients having a one-antigen mismatched related donor within the PTCy/CsA group. The 1-year cumulative incidence (CI) of chronic GVHD was 13.4% with PTCy/CsA and 38.6% with MTX/CsA (P = .001). Acute GVHD CI across all grades did not differ between the groups, with 10.7% for PTCy/CsA and 14.7% for MTX/CsA (P = .46). At two years, the overall survival (OS) (54.4% vs 67.2%, P = 0.282), disease-free survival (DFS) (54.1% vs 66.1%, P = 0.358), relapse rates (27.4% vs 20.1%, P = 0.245), and non-relapse mortality (NRM) (29.3% vs 25%, P = 0.904) did not differ between PTCy/CsA and MTX/CsA, respectively. CONCLUSION: PTCy-based GVHD prophylaxis in MRD transplant is feasible and leads to lower chronic GVHD rates without causing a significantly different risk of relapse or survival than MTX/CsA. More extensive studies are needed to confirm our results.

Types and Sources of Social Support Accessible to University Students with Disabilities in Saudi Arabia during the COVID-19 Pandemic.

University students with disabilities face an increased risk of experiencing negative implications in educational, psychological, and social spheres during the COVID-19 pandemic. This study aimed at assessing various dimensions of social support and its sources during the COVID-19 pandemic that availed university students with disabilities. This cross-sectional descriptive study collected data from 53 university students with disabilities. We administered the Social Support Scale (SSC) to assess five dimensions: informational, emotional, esteem, social integration and tangible support, and access to social support from four sources: family, friends, teachers, and colleagues. Multiple regression analysis showed that university students with disabilities mainly relied upon their friends for informational support (ß = 0.64; p < 0.001), emotional support (ß = 0.52; p < 0.001), and social integration support (ß = 0.57; p < 0.001). Family members (ß = 0.406; p < 0.01) and colleagues (ß = 0.36; p < 0.01) provided esteem support to students with disabilities. Support from teachers demonstrated an association with informational support (ß = 0.24; p < 0.05). The findings from the current study suggest that students with disabilities primarily sought informational, emotional, and social integration support from their peers. Although teachers were the primary source of informational support, emotional and esteem support were not found to be significantly associated with them. These findings necessitate exploring the underlying factors and how to enhance them during unusual circumstances such as online distance education and social distancing.

Anti-Cryptosporidium efficacy of Citrus sinensis peel extract: Histopathological and ultrastructural experimental study.

BACKGROUND: Cryptosporidiosis is a crucial zoonotic global health concern which can be treated by alternative medicinal plants extracts. AIM OF THE STUDY: The study was carried out to assess the therapeutic efficacy of Citrus sinensis peel ethanolic extract on Cryptosporidium-infected mice. METHODS: Two doses of Citrus sinensis extract; high dose (30 mg/kg) and low dose (15 mg/kg) were investigated compared to the common commercial drug nitazoxanide (NTZ). Assessment of the extract was carried out by calculating oocysts count in fecal samples, in addition to histopathological and electron microscopic examination of intestinal mucosa.. RESULTS: There was a statistically significant reduction in the percentage of oocyst shedding more in high dose than low dose Citrus-treated mice group till negligible numbers of oocysts were found at day 22nd post infection. Histopathologically, the intestinal tissues from high dose Citrus-treated group showed improvement of the pathological changes, the villi retained their normal appearance with minimal inflammatory cells in comparison to infected control mice groups. Also, ultra-structurally, the high dose Citrus-treated mice showed few Cryptosporidium trophozoites, while moderate number of parasitic stages and mucous in the low dose Citrus-treated mice, and large numbers of parasitic stages with sever mucous in the control infected non-treated mice epithelium. CONCLUSION: Our study established for the first time that Citrus sinensis is a promising natural candidate that could be efficiently used for developing of new anti-cryptospordial drugs.

Atom Search Optimization with the Deep Transfer Learning-Driven Esophageal Cancer Classification Model.

Esophageal cancer (EC) is a commonly occurring malignant tumor that significantly affects human health. Earlier recognition and classification of EC or premalignant lesions can result in highly effective targeted intervention. Accurate detection and classification of distinct stages of EC provide effective precision therapy planning and improve the 5-year survival rate. Automated recognition of EC can aid physicians in improving diagnostic performance and accuracy. However, the classification of EC is challenging due to identical endoscopic features, like mucosal erosion, hyperemia, and roughness. The recent developments of deep learning (DL) and computer-aided diagnosis (CAD) models have been useful for designing accurate EC classification models. In this aspect, this study develops an atom search optimization with a deep transfer learning-driven EC classification (ASODTL-ECC) model. The presented ASODTL-ECC model mainly examines the medical images for the existence of EC in a timely and accurate manner. To do so, the presented ASODTL-ECC model employs Gaussian filtering (GF) as a preprocessing stage to enhance image quality. In addition, the deep convolution neural network- (DCNN-) based residual network (ResNet) model is applied as a feature extraction approach. Besides, ASO with an extreme learning machine (ELM) model is utilized for identifying the presence of EC, showing the novelty of the work. The performance of the ASODTL-ECC model is assessed and compared with existing models under several medical images. The experimental results pointed out the improved performance of the ASODTL-ECC model over recent approaches.

Prevalence and Molecular Epidemiology of Cryptosporidium Infection in Clarias gariepinus Fish in Egypt.

PURPOSE: This study investigated the prevalence and molecular detection of Cryptosporidium spp. in catfish (Clarias gariepinus). METHODS: A total of 300 Carias gariepinus fish were collected from two freshwater sources: the Nile River (180) and drainage canals (120). The stomach and intestine epithelium of each individual fish sample were screened by modified Ziehl-Neelsen (mZN) staining technique for the detection of Cryptosporidium oocysts followed by the serological survey for detection of Cryptosporidium antibodies using Enzyme-Linked Immunosorbent Assay (ELISA) and molecular characterization using complemented DNA polymerase chain reaction (cPCR). RESULTS: ELISA showed higher prevalence of 69.3% than that prevalence obtained by mZN, 64% for the total examined Clarias gariepinus fish. Also, higher prevalence of Cryptosporidium infection 65.5% and 75.8% obtained by ELISA than 61.1% and 68.3% by mZN, in both fish groups from Nile River and Drainage canal, respectively. PCR analysis revealed the expected positive bands at 1056 bp. DNA sequencing and phylogenetic analysis proved that the positive-PCR Cryptosporidium isolate identified in the present study was Cryptosporidium molnari. CONCLUSION: Freshwater fishes (Clarias gariepinus) are subjected to a high infection rate with Cryptosporidium spp.; the drainage canals obtained fishes showed higher prevalence than that collected from Nile River which indicates an important public health problem and a potential risk of drainage canals in Egypt. ELISA showed higher prevalence of cryptosporidiosis than mZN, for the total examined Clarias gariepinus fish and phylogenetic analyses confirmed this protozoal organism to be a novel species of Cryptosporidium molnari.

A study of the shoulder and elbow joints of the donkey (Equus asinus) by gross anatomical dissection, radiography, computed tomography, and intra-articular injection.

Joint diseases often represent the major part of equine clinician's caseloads. The current study aimed to document the normal anatomy of the donkey shoulder and elbow joints using computed tomography, cadaver sections, and radiography. Seven adult donkeys were used in this study. The current study proved there were no pouches of the donkey shoulder joint. Communication between the joint capsule and bicipital bursa was observed only in two limbs of four used in the present work. The joint was without pericapsular ligaments. The glenohumeral ligament was identified by the thickening of the articular capsule cranially. The shoulder joint approach for intra-articular injection is located on the lateral aspect corresponding to the humerus greater tubercle. The elbow joint capsule is attached to the margins of the articular surfaces of the humerus, radius, and ulna bones. It was thick on the cranial surface of the joint but became thinner caudally. The joint capsule of the elbow joint formed a single pouch cranially and three pouches caudally. The joint had medial and lateral collateral ligaments. The current study recorded that the lateral collateral ligament of the donkey elbow joint was not divided as in the horse, only the medial collateral ligament was divided into two parts; the long cranial and short caudal part. Elbow joint approach for intra-articular injection was in the cranial pouch on the cranial border of the lateral collateral ligament. The data collected within this study will be useful as a normal reference for donkey practitioners.

Immunological detection of human and camel cystic echinococcosis using different antigens of hydatid cyst fluid, protoscoleces, and germinal layers.

BACKGROUND AND AIM: Cystic echinococcosis (CE)/hydatidosis is one of the most prevalent neglected zoonotic diseases. It is initially asymptomatic and does not produce any clinical signs until the cyst becomes enlarged, causing localized pressure on internal organs and tissues. Therefore, the detection of Echinococcus granulosus antibodies is highly essential. This study evaluated the antigens of hydatid cyst fluid, protoscoleces, and germinal layers for efficient immunological diagnosis of CE in humans and camels. MATERIALS AND METHODS: Hydatid cyst fluid (FLc), protoscoleces (Psc), and the germinal layer (GLc) antigens were prepared from camel-lung hydatid cysts. In the same way, hydatid cyst fluid (FLh) and protoscoleces (Psh) antigens from human-liver cyst aspirate were produced. The comparative immunodiagnostic efficacy of the prepared antigens was verified using indirect enzyme-linked immunosorbent assay (ELISA), SDS-PAGE, and immunoblotting. RESULTS: ELISA proves that FLc and GLc antigens were higher than FLh and Psh antigens. This shows that binding reactivity in naturally infected human sera, camel sera, and Psc is the most potent, exhibiting 100% sensitivity with 78.26% and 76.47% specificity in camel and human sera, respectively. The CE prevalence using diagnostic Psc was 54.79% and 61.32% in tested human and camel sera, respectively. The electrophoretic profiles of all shared antigens showed similarities at 52, 41, and 22 kDa. Immunoblotting demonstrated common immune-reactive bands in all antigen types at 52 and 41 kDa against positive human and camel sera. CONCLUSION: This immunological study introduces camel hydatid cyst Psc as a potent diagnostic antigen and new immune-reactive fractions of 52 and 41 kDa for diagnosing hydatidosis in humans and camels.

A New Approach for Dry Eye Management By Mucoadhesive In situ Gel of Vitamin B12: Formulation, In vitro and In vivo Assessment.

The commitment of the existent study was to develop a mucoadhesive in situ gel systems of vitamin B12 for the management of dry eye disease. The gels were prepared using pluronic F-127 and either of chitosan, carbapol 971P, sodium alginate, or hydroxy propyl methyl cellulose. Drug-excipients compatibility was investigated by means of differential scanning calorimetry and Fourier transform infrared spectroscopy. The gels were characterized for pH, clarity, gelling capacity, viscosity, and adhesion. In vitro release of vitamin B12 from the selected gels was investigated. In vivo effectiveness of the selected gel was determined in rabbit models using Schirmer's and fluorescein tests. The compatibility studies revealed the possibility of incidence of drug/polymer interaction in some formulations. F2-containing pluronic F127 and hydroxypropyl methyl cellulose showed the most appropriate physical characterization and in vitro release profile. The prepared gels showed prolonged drug release with drug release mechanism of combined diffusion and erosion. The in vivo study revealed good effectiveness of the prepared mucoadhesive in situ gel system of vitamin B12 in the treatment of dry eye disease that was comparable to that of the marketed drops.

Myrtus communis Essential Oil; Anti-Parasitic Effects and Induction of the Innate Immune System in Mice with Toxoplasma gondii Infection.

BACKGROUND: Myrtus communis (M. communis) is a wild aromatic plant used for traditional herbal medicine that can be demonstrated in insecticidal, antioxidant, anti-inflammatory, and antimicrobial activity of its essential oils (MCEO). AIM: The present study aimed to evaluate the prophylactic effects of M. communis essential oil (MCEO) against chronic toxoplasmosis induced by the Tehran strain of Toxoplasma gondii in mice. METHODS: Gas chromatography/mass spectrometry (GC/MS) analysis was performed to determine the chemical composition of MCEO. Mice were then orally administrated with MCEO at the doses of 100, 200, and 300 mg/kg/day and also atovaquone 100 mg/kg for 21 days. On the 15th day, the mice were infected with the intraperitoneal inoculation of 20-25 tissue cysts from the Tehran strain of T. gondii. The mean numbers of brain tissue cysts and the mRNA levels of IL-12 and IFN-γ in mice of each tested group were measured. RESULTS: By GC/MS, the major constituents were α-pinene (24.7%), 1,8-cineole (19.6%), and linalool (12.6%), respectively. The results demonstrated that the mean number of T. gondii tissue cysts in experimental groups Ex1 (p < 0.05), Ex2 (p < 0.001) and Ex3 (p < 0.001) was meaningfully reduced in a dose-dependent manner compared with the control group (C2). The mean diameter of tissue cyst was significantly reduced in mice of the experimental groups Ex2 (p < 0.01) and Ex3 (p < 0.001). The results demonstrated that although the mRNA levels of IFN-γ and IL-12 were elevated in all mice of experimental groups, a significant increase (p < 0.001) was observed in tested groups of Ex2 and Ex3 when compared with control groups. CONCLUSION: The findings of the present study demonstrated the potent prophylactic effects of MCEO especially in the doses 200 and 300 mg/kg in mice infected with T. gondii. Although the exceptional anti-Toxoplasma effects of MCEO and other possessions, such as improved innate immunity and low toxicity are positive topics, there is, however, a need for more proof from investigations in this field.