We have developed a sensitive and specific PCR method for detecting plankton DNA in cases of death by drowning. However, this PCR method could not be used for cases of drowning in water containing no plankton. Bacteria species are normally localized in the throat and trachea and they may invade into blood through the respiratory tract in people who have drowned as well as species localized in water. The aim of this study was to establish a novel and expedient PCR method for detecting bacterial genes in samples from drowning cases. We designed primer pairs for Streptococcus salivarius (SL1) and Streptococcus sanguinis (SN1), which are common species in the throat, and for Aeromonas hydrophila (AH1), which has been found in various water samples. With SL1, SN1, and AH1, we detected 10, 0.1, and 1 pg of target DNA, respectively. Among 19 drowned cases within 3 days postmortem, SL-DNA was detected in all of the blood samples from hearts with SL1 and AH-DNA was detected in several samples with AH1. In a case of drowning in a bathtub, use of the conventional acid digestion method for diatom analyses and the PCR method for identifying plankton DNA revealed no plankton, but our PCR method for detecting bacterial DNA showed a positive result for SL-DNA in a blood sample from the heart. In conclusion, our novel PCR method is highly specific and sensitive for detecting bacterial DNA and is useful for cases of death by drowning in water containing no plankton.
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http://dx.doi.org/10.1016/j.legalmed.2009.01.062 | DOI Listing |
Cell Div
January 2025
Department of Nuclear Medicine, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South university/Hunan Cancer Hospital, No. 283 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, P.R. China.
Background: Zinc finger protein 169 (ZNF169) plays a key role in cancer development. However, the specific role of ZNF169 in the tumorigenesis of thyroid carcinoma (THCA) remains poorly understood.
Methods: The expression of ZNF169 was measured using immunohistochemistry, RT-qPCR, and western blot.
J Neuroinflammation
January 2025
Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21231, USA.
Background: The retinal degenerative diseases retinitis pigmentosa (RP) and atrophic age- related macular degeneration (AMD) are characterized by vision loss from photoreceptor (PR) degeneration. Unfortunately, current treatments for these diseases are limited at best. Genetic and other preclinical evidence suggest a relationship between retinal degeneration and inflammation.
View Article and Find Full Text PDFBMC Genomics
January 2025
Cannabis Innovation and Research Center, Université de Moncton, Moncton, New-Brunswick, Canada.
Background: Due to its previously illicit nature, Cannabis sativa had not fully reaped the benefits of recent innovations in genomics and plant sciences. However, Canada's legalization of C. sativa and products derived from its flower in 2018 triggered significant new demand for robust genotyping tools to assist breeders in meeting consumer demands.
View Article and Find Full Text PDFSci Rep
January 2025
Institute of Emerging Infectious Diseases, Korea University, Seoul, Republic of Korea.
This study aimed to evaluate the usefulness of amplicon-based real-time metagenomic sequencing applied to cerebrospinal fluid (CSF) for identifying the causative agents of bacterial meningitis. We conducted a 16S rRNA amplicon sequencing using a nanopore-based platform, alongside routine polymerase chain reaction (PCR) testing or bacterial culture, to compare its clinical performance in pathogen detection on CSF samples. Among 17 patients, nanopore-based sequencing, multiplex PCR, and bacterial culture detected potential bacterial pathogens in 47.
View Article and Find Full Text PDFRadiol Med
January 2025
Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Purpose: Build machine learning (ML) models able to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients based on conventional and radiomic signatures extracted from baseline [F]FDG PET/CT.
Material And Methods: Primary tumor and the most significant lymph node metastasis were manually segmented in baseline [F]FDG PET/CT of 52 newly diagnosed BC patients. Clinical parameters, NAC and conventional semiquantitative PET parameters were collected.
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