scholarly journals Isolation of Aureimonas altamirensis, a Brucella canis–like bacterium, from an edematous canine testicle

2014 ◽  
Vol 26 (6) ◽  
pp. 795-798 ◽  
Author(s):  
Thomas J. Reilly ◽  
Michael J. Calcutt ◽  
Laura A. Wennerdahl ◽  
Fred Williams ◽  
Tim J. Evans ◽  
...  
Keyword(s):  
Ribosomal Rna ◽  
Histological Analysis ◽  
Clinical Sample ◽  
Clinical Samples ◽  
Identification System ◽  
Negative Bacterium ◽  
Microbial Identification ◽  
Brucella Canis ◽  
Unequivocal Identification ◽  
16S Ribosomal Rna Gene

Microbiological and histological analysis of a sample from a swollen testicle of a 2-year-old Border Collie dog revealed a mixed infection of the fungus Blastomyces dermatitidis and the Gram-negative bacterium Aureimonas altamirensis. When subjected to an automated microbial identification system, the latter isolate was provisionally identified as Psychrobacter phenylpyruvicus, but the organism shared several biochemical features with Brucella canis and exhibited agglutination, albeit weakly, with anti– B. canis antiserum. Unequivocal identification of the organism was only achieved by 16S ribosomal RNA gene sequencing, ultimately establishing the identity as A. altamirensis. Since its first description in 2006, this organism has been isolated infrequently from human clinical samples, but, to the authors’ knowledge, has not been reported from a veterinary clinical sample. While of unknown clinical significance with respect to the pathology observed for the polymicrobial infection described herein, it highlights the critical importance to unambiguously identify the microbe for diagnostic, epidemiological, infection control, and public health purposes.

scholarly journals Identification of Three Strains of Mycobacterium Species Isolated from Clinical Samples Using Fatty Acid Methyl Ester Profiling

2003 ◽  
Vol 31 (2) ◽  
pp. 133-140 ◽  
Author(s):  
A Ozbek ◽  
O Aktas
Keyword(s):  
Fatty Acid ◽  
Methyl Esters ◽  
Acid Methyl Ester ◽  
Cellular Fatty Acid ◽  
Clinical Samples ◽  
Identification System ◽  
Cyclopropane Fatty Acid ◽  
Mycobacterium Species ◽  
Microbial Identification ◽  
Acid Methyl

The cellular fatty acid profiles of 67 strains belonging to three different species of the genus Mycobacterium were determined by gas chromatography of the fatty acid methyl esters, using the MIDI Sherlock® Microbial Identification System (MIS). The species M. tuberculosis, M. xenopi and M. avium complex were clearly distinguishable and could be identified based on the presence and concentrations of 12 fatty acids: 14:0, 15:0, 16:1ω7c, 16:1ω6c, 16:0, 17:0, 18:2ω6,9c, 18:1ω9c, 18:0, 10Me-18:0 tuberculostearic acid, alcohol and cyclopropane. Fatty acid analysis showed that there is great homogeneity within and heterogeneity between Mycobacterium species. Thus the MIS is an accurate, efficient and relatively rapid method for the identification of mycobacteria.

scholarly journals Epidemiology of Dermatophytes Isolated from Clinical Samples in a Hospital in Eastern Saudi Arabia: A 20-Year Survey

2021 ◽  
Vol 11 (4) ◽  
pp. 405-412
Author(s):  
Bashayer Ali Alshehri ◽  
Aisha M. Alamri ◽  
Ali A. Rabaan ◽  
Jaffar A. Al-Tawfiq
Keyword(s):  
Saudi Arabia ◽  
Age Groups ◽  
Human Migration ◽  
Clinical Samples ◽  
Identification System ◽  
Children And Adolescent ◽  
Microbial Identification ◽  
Significant Seasonal Variation ◽  
Dermatophyte Species ◽  
Over Time

Abstract Background Dermatophytes are group of fungi that cause superficial infections via enzymes that degrade keratin in human skin. Several factors, including climate, gender, age, lifestyle, human migration, cultural habits, and socioeconomic status influence the prevalence of dermatophyte infections. We analyzed the prevalence of dermatophyte isolates in a hospital in Eastern Saudi Arabia from 2000 to 2019. Methods The data on fungal cultures were obtained from the Laboratory Information System of the Mycology Laboratories at Johns Hopkins Aramco Healthcare, and were used for the analysis. Fungal isolates were examined microscopically for the presence of specialized hyphal structures and conidia. The Vitek® MS microbial identification system (biomerieux) was used if the culture type was not identified microscopically. Results Among the 10,021 samples analyzed, 3040 (30.33%) were positive for fungi and only 398 (3.97%) were dermatophytes. Microsporum species was the most common dermatophyte accounting for 50.5% (n = 201) followed by trichophyton with 36.9% (n = 147). The most common positive samples were scrapping (251, 63%) and hair (68, 17%). Culture positivity relative to the age groups revealed a cluster of positive dermatophyte species in children < 10 years of age with 215 (54%) of all cases and among 10–19 years of age with 60 (15) of the cases (p < 0.001). Microsporum species were the prevalent dermatophytes in patients  < 10 years of age, while Epidermophyton species were the most frequent dermatophyte species in age groups 10–19, 20–29, and 30–39 years. However, Trichophyton species were the most frequent dermatophyte species in individuals 70–79 years. The percentage of Microsporum and Trichophyton species decreased significantly over time (p < 0.001). In addition, there was a significant seasonal variation in relation to Trichophyton species. A comparison between the most frequent species showed that there was no difference in relation to gender, but there was a difference in relation to the specimen type and age group. Conclusion Dermatophytosis was common among children and adolescent with the most common samples were scrapping and hair. There was a significant reduction in Microsporum and Trichophyton species over time.

Are Three Items Sufficient to Measure Sense of Coherence?

2018 ◽  
Vol 34 (4) ◽  
pp. 229-237 ◽  
Author(s):  
Francesca Chiesi ◽  
Andrea Bonacchi ◽  
Caterina Primi ◽  
Alessandro Toccafondi ◽  
Guido Miccinesi
Keyword(s):  
Sense Of Coherence ◽  
Convergent Validity ◽  
Clinical Sample ◽  
Clinical Samples ◽  
Depression Symptoms ◽  
Time Saving ◽  
Positive Role ◽  
Patients With Cancer ◽  
Measure Sense

Abstract. The present study aimed at evaluating if the three-item sense of coherence (SOC) scale developed by Lundberg and Nystrom Peck (1995) can be effectively used for research purpose in both nonclinical and clinical samples. To provide evidence that it represents adequately the measured construct we tested its validity in a nonclinical (N = 658) and clinical sample (N = 764 patients with cancer). Results obtained in the nonclinical sample attested a positive relation of SOC – as measured by the three-item SOC scale – with Antonovsky’s 13-item and 29-item SOC scales (convergent validity), and with dispositional optimism, sense of mastery, anxiety, and depression symptoms (concurrent validity). Results obtained in the clinical sample confirmed the criterion validity of the scale attesting the positive role of SOC – as measured by the three-item SOC scale – on the person’s capacity to respond to illness and treatment. The current study provides evidence that the three-item SOC scale is a valid, low-loading, and time-saving instrument for research purposes on large sample.

Investigation of duck plague virus in hoar areas of Bangladesh

2020 ◽  
Vol 26 (1-2) ◽  
pp. 73-78
Author(s):  
A Hossen ◽  
MH Rahman ◽  
MZ Ali ◽  
MA Yousuf ◽  
MZ Hassan ◽  
...  
Keyword(s):  
Cytopathic Effect ◽  
Clinical Sample ◽  
Chorioallantoic Membrane ◽  
Clinical Samples ◽  
Isolation And Identification ◽  
Duck Plague Virus ◽  
Pcr Method ◽  
Polymerase Chain ◽  
The Individual ◽  
Free Ranging

Duck plague (DP) is the most important infectious disease of geese, ducks and free-ranging water birds. The present study was conducted to determine the prevalence of duck plague virus followed by isolation and identification. For these purposes, a total of 155 cloacal swabs samples were collected randomly from duck of different haor areas of Bangladesh including 45 (41 surveillance and 4 clinical) samples from Netrokona; 42 (40 surveillance and 2 clinical) samples from Kishoregonj; 30 samples from Brahmanbaria and 38 samples from Sunamganj. The samples were processed and pooled (1:5 ratio) for initial screening of target polymerase gene of duck plague virus by polymerase chain reaction (PCR) method. All the samples of a positive pool were then tested individually for identifying the individual positive samples. The result showed that out of 155 samples, 41 (26.45%) were found positive in which 17 were from Netrokona, where 15 (36.58%) were from surveillance samples and 2 (50%) were from clinical sample; 16 were from Kishoregonj, where 14 (35%) were from surveillance samples and 2 (100%) were from clinical sample; 2 (6.6%) were from Brahmanbaria and 5 (13.15%) were from Sunamganj. These positive samples were inoculated into 9-10 days embryonated duck eggs (EDE) through chorioallantoic membrane (CAM) route for the isolation of virus. The EDE died earlier was also chilled, and in a similar way, the CAMs were collected and again performed PCR for id entification of virus. Out of 41 PCR positive samples, 26 samples were isolated and reconfirmed by PCR. Subsequently, DPV was isolated in primary duck embryo fibroblasts cell culture and confirmed by observing cytopathic effect (CPE). Bang. J. Livs. Res. Vol. 26 (1&2), 2019: P. 73-78

scholarly journals CSMD: a computational subtraction-based microbiome discovery pipeline for species-level characterization of clinical metagenomic samples

2019 ◽  
Author(s):  
Yu Liu ◽  
Paul W Bible ◽  
Bin Zou ◽  
Qiaoxing Liang ◽  
Cong Dong ◽  
...  
Keyword(s):  
Species Level ◽  
Supplementary Information ◽  
Clinical Samples ◽  
Plasma Dna ◽  
Bioinformatics Pipeline ◽  
Microbial Identification ◽  
Reference Databases ◽  
Microbial Dna ◽  
Higher Sensitivity

Abstract Motivation Microbiome analyses of clinical samples with low microbial biomass are challenging because of the very small quantities of microbial DNA relative to the human host, ubiquitous contaminating DNA in sequencing experiments and the large and rapidly growing microbial reference databases. Results We present computational subtraction-based microbiome discovery (CSMD), a bioinformatics pipeline specifically developed to generate accurate species-level microbiome profiles for clinical samples with low microbial loads. CSMD applies strategies for the maximal elimination of host sequences with minimal loss of microbial signal and effectively detects microorganisms present in the sample with minimal false positives using a stepwise convergent solution. CSMD was benchmarked in a comparative evaluation with other classic tools on previously published well-characterized datasets. It showed higher sensitivity and specificity in host sequence removal and higher specificity in microbial identification, which led to more accurate abundance estimation. All these features are integrated into a free and easy-to-use tool. Additionally, CSMD applied to cell-free plasma DNA showed that microbial diversity within these samples is substantially broader than previously believed. Availability and implementation CSMD is freely available at https://github.com/liuyu8721/csmd. Supplementary information Supplementary data are available at Bioinformatics online.

The Prevalence of Symptoms of Depression in An Australian General Population

1980 ◽  
Vol 14 (1) ◽  
pp. 65-71 ◽  
Author(s):  
D. G. Byrne
Keyword(s):  
Depressive Symptoms ◽  
General Population ◽  
Random Sample ◽  
Clinical Sample ◽  
Depression Scale ◽  
Clinical Samples ◽  
Demographic Differences ◽  
Symptoms Of Depression ◽  
The Subject ◽  
Depressive States

The prevalence of depressive symptoms was estimated in a random sample of an Australian general population by administration of the Zung Self-Rating Depression Scale (S.D.S.). Rates, calculated according to criteria derived from a previously studied clinical sample, were somewhat higher in this population than had been reported in similar studies elsewhere. It was reasoned that this finding related to the relative laxity of criteria employed in the present study. Socio-demographic influences on the reporting of depressive symptoms were evident, the most prominent of these being the sex of the subject. It was suggested that these influences may underlie socio-demographic differences in rates of recognized depressive states occurring within clinical samples.

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