[Analysis of clinical and genetic variation in neonatal intrahepatic cholestasis caused by citrin deficiency]

Objective: To investigate the clinical phenotype and gene variation conditions in neonatal intrahepatic cholestasis caused by citrin deficiency (NICCD), so as to provide a basis for genetic counseling and clinical diagnosis and treatment of the family. Methods: 11 cases of neonatal intrahepatic cholestasis who visited the Children's Hospital Affiliated to Zhengzhou University between February 2019 and March 2021 were selected as the study subjects. High-throughput sequencing technology was used to detect the gene variation condition in 11 neonatal patients and 100 normal control neonates. The suspicious loci and family members were verified by Sanger sequencing and QPCR technology. Results: All 11 children with NICCD had different degrees of jaundice and liver damage symptoms, combined with coagulation dysfunction and anemia (n = 7), cardiac malformation (n = 2), elevated myocardial enzymes (n = 4), hyperlipidemia (n = 1), hyperkalemia (n = 1), persistent diarrhea (n = 3), developmental delay (n = 1). A total of 10 different types of SLC25A13 gene mutations were detected in 11 cases, including three frameshift mutations, two splicing changes, two missense mutations, one intron insertion, one nonsense mutation, and one heterozygous deletion. After reviewing literature and databases, c.1878delG(p.I627Sfs*73) and exon11 deletion were novel mutations that had not been reported at home or abroad. Conclusion: The clinical features of NICCD are non-specific, and genetic testing aids in the early and accurate diagnosis of the disease, providing an important basis for clinical treatment and genetic counseling for family members. In addition, the detection of novel mutation sites has enriched the SLC25A13 gene variation spectrum.

New Opportunities and Challenges for Forensic Medicine in the Era of Artificial Intelligence Technology

Abstract

Traditional forensic identification relies on forensic experts to manually extract information and provide identification opinions based on medicine, biology and other fields of knowledge combined with personal work experience, which is not only time-consuming and require great effort, but also affected by subjective factors that are difficult to overcome. In the era of big data, the booming development of artificial intelligence brings new ideas to forensic medicine. In recent years, forensic researchers at home and abroad have conducted many studies based on artificial intelligence technology, such as face recognition, age and gender identification, DNA analysis, postmortem interval estimation, injury and cause of death identification, showing the feasibility and advantages of using artificial intelligence technology to solve forensic identification problems. As a new means of technology that has adapted to the development of the times, artificial intelligence has brought new vitality to forensic medicine, but at the same time also some new challenges. How to deal with these challenges scientifically and form a new mode of 'artificial intelligence plus forensic medicine' with artificial intelligence and forensic medicine developing collaboratively is a new direction for the development of forensic medicine in the era of big data.

Detection of Ancestry Information of Urumqi Mongolians Based on the AIM-InDels Loci Multiplex System

Abstract

Objective To explore the genetic background and structure of Urumqi Mongolians, the previously developed 39-AIM-InDels panel for ancestry inference was utilized in the present study. Methods The blood samples of 145 unrelated healthy Urumqi Mongolian individuals were collected and genotyped. The compositions of ancestry information of Urumqi Mongolians were studied with 17 different populations from three continents （East Asia, Europe and Africa） as reference populations. Then, multiple population genetics and bioinformatics analysis methods were applied, the Fst and DA values between matched populations were compared and analyzed, PCA analysis was performed and a phylogenetic tree was constructed. The proportions of ancestry information components of Urumqi Mongolians were analyzed with Structure software, etc. Results The ancestry information components of Urumqi Mongolian group in different intercontinental populations accounted for 89%, 7%, and 3% of East Asian, European, and African populations, respectively. Compared with other intercontinental populations, Urumqi Mongolian group and East Asian populations have lower Fst and DA values, and they were in the same cluster in PCA analysis as well. In a phylogenetic tree, the Urumqi Mongolian group was in the same branch as East Asian populations. Conclusion Urumqi Mongolian group had relatively close genetic relationships with East Asian populations, and the proportion of its East Asian ancestry was about 89%.