Caseins determine the physicochemical, physiological, and biological characteristics of milk. Four caseins—alpha-S-1, alpha-S-2, beta, and kappa—were analyzed phylogenetically and in silico and characterized regarding chemical, antimicrobial, and antioxidant features in five dairy animals: Arabian camels, sheep, goats, cattle, and water buffalos. The sequence of full-length amino acids of the four caseins for the five species was retracted from the NCBI GenBank database. Multiple sequence alignment is used to examine further the candidate sequences for phylogenetic analysis using Clustal X and NJ-Plot tools. The results revealed that sheep and goats possess strong similarities (98.06%) because of their common ancestor. The same was observed with cattle and water buffalos (96.25%). The Arabian camel was located in a single subclade due to low similarity in casein residues and compositions with other dairy animals. Protein modeling showed that alpha-S1- and alpha-S2-caseins possess the highest number of phosphoserine residues. The in silico computed chemical properties showed that β-casein recorded highest hydrophobicity index and lowest basic amino acid content, while α-S2-casein showed the opposite. The computed biological parameters revealed that α-S2-casein presented the highest bactericidal stretches. Only Arabian camel β-casein and k-casein showed one bactericidal stretches. The analysis also revealed that β-casein, particularly in Arabian camels, possesses the highest antioxidant activity index. These results support the importance of the bioinformatics resources to determine milk casein micelles' chemical and biological activities.
Background. Coronavirus disease 2019 (COVID-19) is continuing to circulate and change, affecting billions of people worldwide and leading to increased mortality rates, especially in the Holy City of Makkah, Kingdom of Saudi Arabia (KSA). This study was aimed at investigating the epidemiological features of COVID-19 in Makkah City, KSA. Methods. A retrospective analysis was conducted to investigate the prevalence of COVID-19 and the association between the severity and mortality of COVID-19 with demographic factors and comorbidities. Results. Among 4,742 COVID-19 patients, the incidence rate observed in males was 66.7%, and 69.7% were from Al-Noor Specialized Hospital. The highest incidence rate (25.2%) was found in the age group > 60 years old , followed by the age group 51-60 years (21.8%). Furthermore, the highest frequency was observed in patients from Saudi Arabia (36.8%), followed by patients from Myanmar (14.7%) and Bangladesh (9.4%). The overall frequency of COVID-19 severity and death was 20.3% and 11.6%, respectively. Body mass index analysis showed that 1% of the patients were underweight, while 9.2% were overweight and 4.4% were obese. In addition, 9.6% had diabetes, 6.9% had hypertension, 1.1% had heart disease, and 2.2% had other chronic diseases. Conclusion. The study concluded that the overall percentages of severe COVID-19 (intensive care unit) cases and deaths in Makkah City, KSA, were 20.3% and 11.6%, respectively, and there was a higher incidence in male patients. The severity of infection was shown to have a strong significant correlation with different chronic diseases, nationality, body mass index, death rate (mortality), heart disease, and length of hospital stay ( P < 0.05 ). Despite these findings, more studies are needed to explain the underlying mechanisms that influence the overall health status of patients with specific characteristics and comorbidities.
Cryptosporidiosis is a critical gastrointestinal disease in calves. This study examined 150 fecal samples of diarrheic calves collected from the eastern region of Saudi Arabia for detection of Cryptosporidium parvum using the Modified Ziehl-Neelsen (MZN) method, Enzyme-Linked Immunosorbent Assay (ELISA), and conventional Polymerase Chain Reaction (PCR). The performance of these methods was assessed using diagnostic accuracy tests. The present study identified C. parvum oocysts in fecal samples by modified Ziehl-Neelsen 40/150; 26.66%, ELIZA 60/150; 40%, and PCR 78/150; 52% methods, respectively. The microscopic method revealed higher specificity 65.27% than the ELIZA 51.38%, while the ELIZA showed higher sensitivity 32.05% than MZN method 19.23%. However, MZN and ELIZA methods were unsatisfactory diagnostic tools compared with the PCR as the area under the curve values in Receiver Operator Characteristic (ROC) analysis were less than 0.6. Furthermore, using the kappa analysis test revealed no agreement between MZN and ELISA methods compared with PCR at P<0.05.
The present study was carried out to record the clinical signs of equine herpesviruses (EHVs) infection and to detect the prevalence of EHVs infection among working equids in different provinces of Egypt. A total number of 115 working equids (92 horses and 23 donkeys) were clinically examined and sampled from November 2018 till November 2019 for this study. Two samples were collected from each animal (nasal swab and blood sample) and were subjected to multiplex-PCR to detect the prevalence of different EHVs infection among equids. In the current study, the overall prevalence of EHVs infection among equid populations in Egypt was 80% by using multiplex-PCR. Moreover, the most prevalent equine herpesvirus (EHV) among equids in Upper Egypt was EHV-2 (61.74%), followed by EHV-5 (43.48%), EHV-1 (20%), and EHV-4 (13.04%). The recorded clinical signs of the examined equids harbored EHVs (PCR-positive) can be summarized as follow: a higher percentage was detected among equids with a history of acute onset (59.78%), pyrexia (57.61%), and/or systemic illness (45.65%) with or without respiratory signs (56.52%) and ocular signs (35.87%). Furthermore, 4.35% and 1.09% of EHV-1 PCR-positive equids displayed neurological signs and abortion, respectively.
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