scholarly journals Osteometry of Dromedary Metapods: Case of the Algerian Population Targui (Camelus Dromedarius Linne, 1758)

2020 ◽  
Vol 19 (5) ◽  
pp. 47-56
Author(s):  
Babelhadj Baaissa ◽  
Benaissa Atika ◽  
Adamou Abdelkader ◽  
Tekkouk -Zemmouchi Faiza ◽  
Ridouh Rania ◽  
...  
2020 ◽  
Vol 60 (2) ◽  
pp. 182-193
Author(s):  
Kacem Abdelhadi ◽  
Houar Abdelatif ◽  
Zerf Mohamed ◽  
Bengoua Ali

SummaryThis study tests the impact of COVID-19 on sleep of Algerian population before and during the COVID-19 quarantine by an estimated online survey, adapted from the PSQI Italian version. Including 1210 participants (age between 18-60 years old). The statistical analysis was carried out using SPSS version 22.0 software. Our results showed a significant change in sleeping quality during quarantine, the sleep timing markedly changed, we also noticed additional use of sleeping medications. Algerian scientists recommend to build public awareness and to provide necessary information regarding Algerian sleep quality, especially for Algerian adults.


2008 ◽  
Vol 57 (2) ◽  
pp. 103-113 ◽  
Author(s):  
Rachid Rouag ◽  
Chahira Ferrah ◽  
Luca Luiselli ◽  
Ghoulem Tiar ◽  
Slim Benyacoub ◽  
...  

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1149
Author(s):  
Dina M. Metwally ◽  
Isra M. Al-Turaiki ◽  
Najwa Altwaijry ◽  
Samia Q. Alghamdi ◽  
Abdullah D. Alanazi

We analyzed the blood from 400 one-humped camels, Camelus dromedarius (C. dromedarius), in Riyadh and Al-Qassim, Saudi Arabia to determine if they were infected with the parasite Trypanosoma spp. Polymerase chain reaction (PCR) targeting the internal transcribed spacer 1 (ITS1) gene was used to detect the prevalence of Trypanosoma spp. in the camels. Trypanosoma evansi (T. evansi) was detected in 79 of 200 camels in Riyadh, an infection rate of 39.5%, and in 92 of 200 camels in Al-Qassim, an infection rate of 46%. Sequence and phylogenetic analyses revealed that the isolated T. evansi was closely related to the T. evansi that was detected in C. dromedarius in Egypt and the T. evansi strain B15.1 18S ribosomal RNA gene identified from buffalo in Thailand. A BLAST search revealed that the sequences are also similar to those of T. evansi from beef cattle in Thailand and to T. brucei B8/18 18S ribosomal RNA from pigs in Nigeria.


2021 ◽  
Author(s):  
Saleh M. Al‐Hussain ◽  
Mustafa S. Yousuf ◽  
Ayat Bani Hani ◽  
Sami Zaqout ◽  
Laiche Djouhri ◽  
...  

Acta Tropica ◽  
2020 ◽  
Vol 207 ◽  
pp. 105500
Author(s):  
Walaa Mohammed Abdelazeem ◽  
Tara Rava Zolnikov ◽  
Zeinab Roshdy Mohammed ◽  
Alaa Saad ◽  
Kamelia M Osman

2020 ◽  
Vol 26 (1) ◽  
Author(s):  
Somia Medjani ◽  
Djalila Chellat-Rezgoune ◽  
Taher Kezai ◽  
Mohammed Chidekh ◽  
Noureddine Abadi ◽  
...  

Abstract Background Prostate cancer is the most common cancer in the world, and its etiology involves the interaction of genetic and environmental factors. Interindividual differences observed in the metabolism of xenobiotics may be due to polymorphisms of genes encoding the detoxification enzymes. This genetic variability seems to be associated with differences in susceptibility to certain types of cancers, including prostate cancer. Our study has been made in order to investigate a possible genetic predisposition to prostate cancer in an Algerian population, through the analysis of genetic polymorphisms of three enzymes metabolizing xenobiotics namely cytochrome P450 (CYP) 1A1, glutathione S-transferase mu 1 (GSTM1) and GST theta 1 (GSTT1). Methods The current case–control study included 101 prostate cancer patients and 101 healthy controls. Genotyping of CYP1A1 T3801C polymorphisms and GSTM1/GSTT-null was made, respectively, by PCR-RFLP and multiplex PCR. Results No significantly positive associations were found for the CYP1A1 T3801C [p = 0.71, OR = 1.23 (0.56–2.72)] and GSTM1-null [p = 0.26, OR = 1.37 (0.76–2.4)] polymorphisms and prostate cancer susceptibility. However, we detect a highly significant association between GSTT1-null genotype [p = 0.03, OR = 2.03 (1.06–3.99)], GSTM1/GSTT1-double null genotype [p = 0.027, OR = 2.6; CI (1.07–6.5)] and prostate cancer risk. Furthermore, no statistically significant differences between the studied polymorphisms and tumor parameters (the Gleason score and clinical stages of aggressiveness) at diagnosis of PCa. Conclusions The risk of developing prostate cancer in Algeria does not appear to be associated with CYP1A1 T3801C genotypes and GSTM1-null, but GSTT1-null and GSTM1/GSTT1-double null genotypes increased the risk of prostate cancer.


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