A novel reverse primer (GLM MR1) was designed for detection of the glmM gene in Helicobacter pylori by PCR. The percentage of amplification in clinical isolates using GLM MR1 was 100% for detection of the glmM gene and 86.36% for the ureA gene. The primer designed is useful for the identification of H. pylori.
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http://dx.doi.org/10.1128/JCM.00461-10 | DOI Listing |
J Appl Stat
May 2024
Indian Statistical Institute, Kolkata, India.
Acta Neurochir (Wien)
November 2024
Department of Neurosurgery, Medical University of Bialystok, Bialystok, Poland.
Background: This study aims to evaluate the effectiveness of Optic Nerve Sheath Fenestration (ONSF) in improving visual outcomes in patients with Idiopathic Intracranial Hypertension (IIH).
Methods: A meta-analysis was conducted using data from 19 studies, totaling 1159 observations. The main assessed outcomes after ONSF surgery were: the improvement in visual acuity, the improvement in visual fields and reduction in papilledema.
PLOS Glob Public Health
October 2024
Tropical Gastroenterology and Nutrition Group, University of Zambia School of Medicine, Lusaka, Zambia.
Antenatal care (ANC) plays a crucial role in preventing and detecting pregnancy risks, facilitating prompt treatment, and disseminating essential information to expectant mothers. This role is particularly vital in developing countries, where a 4.65% rise in maternal mortality rate was observed in 2022, with over 800 maternal and 7,700 perinatal deaths reported.
View Article and Find Full Text PDFInt J Biometeorol
January 2025
Department of Ecology, French Institute of Pondicherry, Puducherry, 605001, India.
Understanding phenological responses of tropical forest plant communities is crucial for identifying climate-induced changes in ecosystem dynamics. Monitoring phenology across diverse species in natural habitats provides cost-effective insights for conserving both species and forests. We studied tree phenology in a lowland evergreen dipterocarp forest in the Western Ghats, India.
View Article and Find Full Text PDFSci Rep
September 2024
Proteomics Research Center, Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Qods Square, Darband Street, Tehran, Iran.
Cardiovascular disease (CVD) can often lead to serious consequences such as death or disability. This study aims to identify a tree-based machine learning method with the best performance criteria for the detection of CVD. This study analyzed data collected from 9,499 participants, with a focus on 38 different variables.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!