Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0032285 (pneumonia)
 54,520 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Streptococcus pneumoniae is one of the most frequent causative agents of community acquired pneumoniae, meningitis, sinusitis, bronchitis and otitis media both in children and adults. Conventional laboratory methods may sometimes fail to identify S. pneumoniae. The aims of this study were i) to compare the conventional methods and molecular methods which detected pneumococcal surface antigen A (psaA) and autolysin (lytA) genes; ii) to determine the serotype distribution of S. pneumoniae isolated from the respiratory samples. Randomly chosen 62 S. pneumoniae strains isolated from respiratory samples of patients with clinically proven pneumococcal pneumonia (age range: 1-79 years) between years 2000-2006, were included in the study. Classical microbiological analysis for the isolates included Gram staining, optochin sensitivity test performed in 5% CO2 and ambient air and bile solubility test. Capsular serotyping was performed by using latex particles sensitized with mono-specific typing sera (Statens Serum Institut, Denmark). Quellung reaction (Statens Serum Institut, Denmark) was used for serotyping the isolates that gave equivocal results using latex agglutination. Pneumococcal surface antigen A and autolysin genes were detected by in-house polymerase chain reaction (PCR) using psaA1 (5'-CTT TCT GCA ATC ATT CTT G), psaA2 (5'-GCC TTC TTT ACC TTG TTC TGC), lytAF (5'-ACG CAA TCT AGC AGA TGA AGC) and lytAR (5'-TGT TTG GTT GGT TAT TCG TGC) primers. Twenty six different serotypes were detected in 62 S. pneumoniae isolates. The most prevalent capsule serotype was 14 (n= 6), followed by 19A (n= 5). Four isolates could not be typed by the available antisera. All the isolates were optochin sensitive with or without carbondioxide incubation and were bile soluble. All the isolates included in the study have harboured (100%) psaA and lytA genes. No difference was found between the classical and molecular methods for the identification of S. pneumoniae isolates. In conclusion, detection of psaA and/or lytA genes by molecular methods is of value especially in "nonserotypeable strains" when they are performed with conventional methods in clinically proven S. pneumoniae isolates.
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PMID:[Value of demonstration of pneumococcal surface antigen A and autolysin genes for the identification of Streptococcus pneumoniae clinical isolates]. 1933 75

Acinetobacter baumannii is the main cause of nosocomial infections in blood, urinary tract, wounds and in lungs leading to pneumonia. Apart from its strong predilection to be the cause of serious illnesses in intensive care units. Herein, we present a specific and sensitive approach for the monitoring of Acinetobacter baumannii genome based on citrate capped silver nanoparticles (Cit-AgNPs) using spectroscopic methods. In this study, (5' SH-TTG TGA ACT ATT TAC GTC AGC ATG C3') sequence was used as a probe DNA (pDNA) of Acinetobacter baumannii. Then, complementary DNA (cDNA) was used for hybridization. After the hybridization of pDNA with cDNA, target DNA (5' GCA TGC TGA CGT AAA TAGTTC ACA A 3') was recognized and detected using turn-on fluorescence bioassay. After the hybridization of pDNA with cDNA, the target DNA was successfully measured in optimum time of 2 min by spectrophotometric techniques. Moreover, the selectivity of designed bioassay was evaluated in the presence of two mismatch sequences and excellent differentiation was obtained. 1 Zepto-molar (zM) of low limit of quantification (LLOQ) was achieved by this genosensor. The present study paved the way for quick (2 min) and accurate detection of Acinetobacter baumannii, which can be a good alternative to the traditional methods. Current study proposed a novel and significant diagnostic test towards Acinetobacter baumannii detection based on silver nanoparticles aggregation which has the capability of being a good alternative to the traditional methods. Moreover, the proposed genosensor successfully could be applied for the detection of other pathogens.
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PMID:DNA based biosensing of Acinetobacter baumannii using nanoparticles aggregation method. 3269 20