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Prevalence of multi-drug resistant uropathogenic Escherichia coli in Potohar region of Pakistan

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Asian Pacific Journal of Tropical Biomedicine 2016年第1期6卷 60-66页

作者： Ihsan Ali Zara Rafaque safia ahmed Sajid Malik Javid Iqbal Dasti Department of Microbiology Qauid-i-Azam University Department of Animal Sciences Qauid-i-Azam University

Objective:To scrutinize patterns of multi-drug-resistant uropathogenic Escherichia coli(UPEC) strains and particularly of fluoroquinolone-resistance this is an alternative choice for the treatment of urinary tract ***:Bacterial samples(n = 250) were collected from out-patients from August 2012 to August 2014 *** susceptibility profiling and determination of minimum inhibitory concentrations(MICs) and minimum bactericidal concentrations were performed according to the guidelines of Clinical and Laboratory Standards Institute(CLSI,2012).Genes,qnrA,qnrB and qnrS were identified by DNA amplification and ***:The highest percentage of UPEC isolates were resistant to co-trimoxazole(82%) followed by cephalothin(80%),2nd Gen,3rd Gen and 4th Gen cephalosporins,*** against gentamicin,amikacin remained 29% and 4%.For other drugs including nitrofurantoin,tetracycline,carbapenem and beta-lactam inhibitors remained below 10%.Altogether,59% of the isolates were resistant to at least three antibiotics including one ***,MICs for ciprofloxacin remained(MIC≥256 μg/mL) and for levofloxacin(MIC≥16 μg/mL and 32 μg/mL).No significant differences were observed regarding MIC values of extended spectrumβ-lactamase(ESBL) and non-ESBL *** qnrS and qnrB positive isolates MICs remained above 32 μg/*** of UPEC was significantly higher among females and 40% of the isolates were ESBL ***:Higher percentages of ESBL producing UPEC were associated with urinary tract ***,the majority of these isolates were multi-drug resistant and fluoroquinolone-resistant.

关键词： Fluoroquinolone-resistant Uropathogenic E.coli Multi-drug resistant Extended spectrum beta-lactamase

Physico-chemical analysis and antimicrobial potential of Apis dorsata,Apis mellifera and Ziziphus jujube honey samples from Pakistan

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Asian Pacific Journal of Tropical Biomedicine 2014年第8期4卷 633-641页

作者： Hira Fahim Javid Iqbal Dasti Ihsan Ali safia ahmed Muhammad Nadeem Department of Microbiology Qauid-i-Azam University IslamabadPakistan PCSIR Research Laboratories Thokar Niaz BaigLahorePakistan

Objective:To evaluale physico-chemical properties and antimicrobial potential of indigenous honey samples against different reference strains including Escherichia coli ATCC *** aerogenes ATCC *** aeruginosa ATCC *** subtilis *** aureus ATCC *** typhi ATCC 14028,Klebsiella pneumonia ATCC *** niger ATCC *** oligasparus *** albicans ATCC14053 and Candida utilis ATCC ***:By using standard methods samples were evaluated for their antimicrobial properties including additive effect of starch and non—peroxidase activity,antioxidative properties(phenol contents,flavonoid contents,1,1-diphenyl-2-pierylhydrazyl radical scavenging activity).Prior to this evaluation,complete physico-chemical properties including pH,color,ash contents,protein contents,moisture contents,hydroxymethyl furfural contents,total sugar contents,reducing sugar and non-reducing sugar contents were ***:Relatively higher ash contents were found in the Siddar honey i.e.(0.5900±0.0336)%and small honey showed relatively higher protein contents i.e.(777.598±9.880) mg/*** moisture contents of tested honey samples ranged between 13.8%—16,6%,total sugar contents foam 61.672%-72.420%and non-reducing sugar contents from 1.95%—3.93%.Presences of phenolic contents indicate higher antioxidant potential of these honey *** bacteria showed clear inhibition zones in response to tested honey samples whereas fungi and yeast showed inhibition at higher concentrations of these honey *** Escherichia *** *** *** aeruginosa and Aspergillus niger,overall the small honey showed the higher activity than other honey ***:Physico-chemical analysis of honey samples confirmed good quality of honey according to the standards set by European Union Commission and Codex Alimcntarius *** of these honey samples confirms antim

关键词： Ziziphus jujube honey Antimicrobial properties Non-peroxidase activity Antioxidative properties

Plant Leaf Diseases Classification Using Improved K-Means Clustering and SVM Algorithm for Segmentation

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Computers, Materials & Continua 2023年第7期76卷 367-382页

作者： Mona Jamjoom ahmed Elhadad Hussein Abulkasim safia Abbas Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Computer Science Faculty of Computers and InformationSouth Valley UniversityQena83523Egypt Faculty of Science New Valley UniversityEl-Kharga72511Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt

Several pests feed on leaves,stems,bases,and the entire plant,causing plant *** a result,it is vital to identify and eliminate the disease before causing any damage to *** detecting plant disease and treating it is pretty challenging in this *** processing is employed to detect plant disease since it requires much effort and an extended processing *** main goal of this study is to discover the disease that affects the plants by creating an image processing system that can recognize and classify four different forms of plant diseases,including Phytophthora infestans,Fusarium graminearum,Puccinia graminis,tomato yellow leaf ***,this work uses the Support vector machine(SVM)classifier to detect and classify the plant disease using various steps like image acquisition,Pre-processing,Segmentation,feature extraction,and *** gray level co-occurrence matrix(GLCM)and the local binary pattern features(LBP)are used to identify the disease-affected portion of the plant *** to experimental data,the proposed technology can correctly detect and diagnose plant sickness with a 97.2 percent accuracy.

关键词： SVM machine learning GLCM algorithm K-means clustering LBP

Role of endoscopic ultrasound and cyst fluid tumor markers in diagnosis of pancreatic cystic lesions

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World Journal of Gastrointestinal Endoscopy 2022年第6期14卷 402-415页

作者： Hussein Hassan Okasha Abeer Abdellatef Shaimaa Elkholy Mohamad-Sherif Mogawer Ayman Yosry Magdy Elserafy Eman Medhat Hanaa Khalaf Magdy Fouad Tamer Elbaz ahmed Ramadan Mervat E Behiry Kerolis Y William Ghada Habib Mona Kaddah Haitham Abdel-Hamid Amr Abou-Elmagd ahmed Galal Wael A Abbas ahmed Youssef Altonbary Mahmoud El-Ansary Aml E Abdou Hani Haggag Tarek Ali Abdellah Mohamed A Elfeki Heba ahmed Faheem Hani M Khattab Mervat El-Ansary safia Beshir Mohamed El-Nady Department of Internal Medicine and Hepatogastroenterology Kasr Al-Aini HospitalsCairo UniversityKasr Al-Aini HospitalsCairo UniversityCairo 11451Egypt Department of Endemic Diseases Cairo UniversityCairo 11451Egypt Department of Tropical Medicine and Gastroenterology Minia UniversityMinia 61511Egypt Department of Internal Medicine Kasr Al-Aini HospitalsCairo UniversityCairo 11562Egypt Department of Gastroenterology Armed forces College of MedicineCairo 11451Egypt Endoscopy and Internal Medicine Consultant at Dr/ahmed Galal Endoscopy Center Alexandria 35516Egypt Department of Internal Medicine Faculty of MedicineAssuit UniversityAssuit 71111Egypt Department of Gastroenterology and Hepatology Mansoura UniversityMansoura 35511Egypt Department of Gastroenterology and Hepatology Theodor Bilharz Research InstituteCairo 11451Egypt Department of Microbiology and Immunology Faculty of Medicine for girls Al-Azhar UniversityCairo 11451Egypt Department of Internal Medicine Faculty of MedicineAin shams UniversityCairo 11451Egypt Department of Internal Medicine Bani-suef UniversityBani-suefBani-suef 62511Egypt Department of Pathology Faculty of MedicineCairo UniversityCairo 11451Egypt Department of Clinical Pathology Faculty of MedicineCairo UniversityCairo 11451Egypt Department of Environmental Medicine&Clinical Pathology National Research CentreCairo 11451Egypt

BACKGROUND Pancreatic cystic lesions(PCLs) are common in clinical practice. The accurate classification and diagnosis of these lesions are crucial to avoid unnecessary treatment of benign lesions and missed opportunities for early treatment of potentially malignant *** To evaluate the role of cyst fluid analysis of different tumor markers such as cancer antigens [e.g., cancer antigen(CA)19-9, CA72-4], carcinoembryonic antigen(CEA), serine protease inhibitor Kazal-type 1(SPINK1), interleukin 1 beta(IL1-β), vascular endothelial growth factor A(VEGF-A), and prostaglandin E2(PGE2)], amylase, and mucin stain in diagnosing pancreatic cysts and differentiating malignant from benign *** This study included 76 patients diagnosed with PCLs using different imaging modalities. All patients underwent endoscopic ultrasound(EUS) and EUS-fine needle aspiration(EUS-FNA) for characterization and sampling of different *** The mean age of studied patients was 47.4 ± 11.4 years, with a slight female predominance(59.2%). Mucin stain showed high statistical significance in predicting malignancy with a sensitivity of 87.1% and specificity of 95.56%. It also showed a positive predictive value and negative predictive value of 93.1% and 91.49%, respectively(P < 0.001). We found that positive mucin stain, cyst fluid glucose, SPINK1, amylase, and CEA levels had high statistical significance(P < 0.0001). In contrast, IL-1β, CA 72-4, VEGF-A, VEGFR2, and PGE2 did not show any statistical significance. Univariate regression analysis for prediction of malignancy in PCLs showed a statistically significant positive correlation with mural nodules, lymph nodes, cyst diameter, mucin stain, and cyst fluid CEA. Meanwhile, logistic multivariable regression analysis proved that mural nodules, mucin stain, and SPINK1 were independent predictors of malignancy in cystic pancreatic *** EUS examination of cyst morphology with cytopathological analysis and cyst fluid ana

关键词： Pancreatic cystic neoplasm Mucinous cystic neoplasm Intraductal papillary mucinous neoplasm Mucin stain Amylase