1.Rupture-A symbolic timing point of the natural abdominal rupture during cadaver decay
Xingchun ZHAO ; Fan YANG ; Sheng HU ; Hao NIE ; Jiajia FAN ; Zhen PENG ; Gengqian ZHANG ; Peng GUI ; Zengtao ZHONG
Chinese Journal of Forensic Medicine 2024;39(1):68-74
		                        		
		                        			
		                        			Objective Corruption is the most common cadaver phenomenon in forensic practice and an important basis for inferring time of death(PMI),but the definition of corruption degree and the construction of model inference models have always been difficult in the practice of forensic science.Methods In this study,the late postmortem phenomena were observed.Meanwhile,the microbial flora structure of gut and gravesoil and the nature of gravesoil were detected,for analyzing the changes before and after the key moment of abdominal rupture which naturally happened during the cadaver decay.Results The results found that from the macroscopic and microscopic levels,there were significant differences in cadaver decay,including microbial flora structure and gravesoil properties before and after the key moment of the natural abdominal rupture during cadaver decay.The phenomena are highly observable and can be accurately judged by forensic examinations,as well as related means in the field of biology and physiochemistry.In this study,this critical event was called Rupture Point.Conclusion The Rupture Point can be used as an important node for the assessment of cadaver decay degree in the practice of forensic medicine.It can be utilized for a cut-off point as well when constructing PMI inference models based on microbial flora structure changes.The accuracy of PMI inference models can be improved when the models were constructed in segments.
		                        		
		                        		
		                        		
		                        	
2.Development of a High-throughput Sequencing Platform for Detection of Viral Encephalitis Pathogens Based on Amplicon Sequencing
Li Ya ZHANG ; Zhe Wen SU ; Chen Rui WANG ; Yan LI ; Feng Jun ZHANG ; Hui Sheng LIU ; He Dan HU ; Xiao Chong XU ; Yu Jia YIN ; Kai Qi YIN ; Ying HE ; Fan LI ; Hong Shi FU ; Kai NIE ; Dong Guo LIANG ; Yong TAO ; Tao Song XU ; Feng Chao MA ; Yu Huan WANG
Biomedical and Environmental Sciences 2024;37(3):294-302
		                        		
		                        			
		                        			Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.
		                        		
		                        		
		                        		
		                        	
3.Leveraging foundation and large language models in medical artificial intelligence
Nam Io WONG ; Olivia MONTEIRO ; T. Daniel BAPTISTA-HON ; Kai WANG ; Wenyang LU ; Zhuo SUN ; Sheng NIE ; Yun YIN
Chinese Medical Journal 2024;137(21):2529-2539
		                        		
		                        			
		                        			Recent advancements in the field of medical artificial intelligence (AI) have led to the widespread adoption of foundational and large language models. This review paper explores their applications within medical AI, introducing a novel classification framework that categorizes them as disease-specific, general-domain, and multi-modal models. The paper also addresses key challenges such as data acquisition and augmentation, including issues related to data volume, annotation, multi-modal fusion, and privacy concerns. Additionally, it discusses the evaluation, validation, limitations, and regulation of medical AI models, emphasizing their transformative potential in healthcare. The importance of continuous improvement, data security, standardized evaluations, and collaborative approaches is highlighted to ensure the responsible and effective integration of AI into clinical applications.
		                        		
		                        		
		                        		
		                        	
4.Cytotoxicity of 4 Wild Mushrooms in a Case of Yunnan Sudden Unexplained Death.
Wu LONG ; Peng-Fei QU ; Lin MA ; Rui WANG ; Yan-Mei XI ; Yu-Hua LI ; Sheng-Jie NIE ; Ting DUAN ; Jin-Liang DU ; Xue TANG ; Jing-Feng ZHAO ; Pu-Ping LEI ; Yue-Bing WANG
Journal of Forensic Medicine 2023;39(2):121-128
		                        		
		                        			OBJECTIVES:
		                        			To explore the cytotoxicity of four wild mushrooms involved in a case of Yunnan sudden unexplained death (YNSUD), to provide the experimental basis for prevention and treatment of YNSUD.
		                        		
		                        			METHODS:
		                        			Four kinds of wild mushrooms that were eaten by family members in this YNSUD incident were collected and identified by expert identification and gene sequencing. Raw extracts from four wild mushrooms were extracted by ultrasonic extraction to intervene HEK293 cells, and the mushrooms with obvious cytotoxicity were screened by Cell Counting Kit-8 (CCK-8). The selected wild mushrooms were prepared into three kinds of extracts, which were raw, boiled, and boiled followed by enzymolysis. HEK293 cells were intervened with these three extracts at different concentrations. The cytotoxicity was detected by CCK-8 combined with lactate dehydrogenase (LDH) Assay Kit, and the morphological changes of HEK293 cells were observed under an inverted phase contrast microscope.
		                        		
		                        			RESULTS:
		                        			Species identification indicated that the four wild mushrooms were Butyriboletus roseoflavus, Boletus edulis, Russula virescens and Amanita manginiana. Cytotoxicity was found only in Amanita manginiana. The raw extracts showed cytotoxicity at the mass concentration of 0.1 mg/mL, while the boiled extracts and the boiled followed by enzymolysis extracts showed obvious cytotoxicity at the mass concentration of 0.4 mg/mL and 0.7 mg/mL, respectively. In addition to the obvious decrease in the number of HEK293 cells, the number of synapses increased and the refraction of HEK293 cells was poor after the intervention of Amanita manginiana extracts.
		                        		
		                        			CONCLUSIONS
		                        			The extracts of Amanita manginiana involved in this YNSUD case has obvious cytotoxicity, and some of its toxicity can be reduced by boiled and enzymolysis, but cannot be completely detoxicated. Therefore, the consumption of Amanita manginiana is potentially dangerous, and it may be one of the causes of the YNSUD.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			HEK293 Cells
		                        			;
		                        		
		                        			Sincalide
		                        			;
		                        		
		                        			China
		                        			;
		                        		
		                        			Amanita
		                        			;
		                        		
		                        			Death, Sudden
		                        			
		                        		
		                        	
5.Mutational Spectrum and Prognosis Analysis of Young Patients with Diffuse Large B-Cell Lymphoma Based on Next-Generation Sequencing.
Li-Yang LYU ; Yu-Ling NIE ; Abulaiti RENAGULI ; Xiao-Long QI ; Abuduer MUHEBAIER ; Shun-Sheng ZHAI ; Li AN ; Min MAO ; Yan LI
Journal of Experimental Hematology 2023;31(2):403-410
		                        		
		                        			OBJECTIVE:
		                        			To investigate the mutational spectrum in young patients with diffuse large B-cell lymphoma (DLBCL) based on next generation sequencing (NGS), and to provide a basis for in-depth understanding of the molecular biological characteristics and accurate prognosis of young DLBCL.
		                        		
		                        			METHODS:
		                        			From March 2009 to March 2021, 68 young DLBCL patients with complete initial diagnosis data from the Department of Hematology, The People's Hospital Xinjiang Uygur Autonomous Region were retrospectively analyzed, and their paraffin-embedded tissues were subjected to targeted sequencing analysis by NGS technology (including 475 Target genes), and the differences in gene mutation profiles and signaling pathways between high-risk patients with aaIPI ≥2 and low-intermediate risk patients with aaIPI <2 were compared.
		                        		
		                        			RESULTS:
		                        			A total of 44 high-frequency mutation genes were detected in 68 young DLBCL patients. By comparing the high-frequency mutation genes in aaIPI high-risk group and low-intermediate risk group, it was found that CARD11 mutation in aaIPI high-risk group was significantly higher than that in low-intermediate risk group (P =0.002), while MGA mutation (P =0.037) only appeared in the aaIPI high-risk group, and SPEN mutation (P =0.004) only appeared in the aaIPI low-intermediate risk group. The high-frequency mutation genes and clinical indicators of the aaIPI high-risk group were included in the survival analysis, and the results showed that TP53 (P =0.009, P =0.027), POU2AF1 (P =0.003, P =0.006) and CCND3 (P =0.040, P =0.014) genes mutations were associated with worse PFS and OS, while B2M was associated with better PFS (P =0.014) and OS (P =0.013). Multivariate COX regression analysis showed that the TP53, POU2AF1 and CCND3 were independent risk factors for PFS(P =0.021,P =0.005,P =0.020) and OS(P =0.042,P =0.010,P =0.013).
		                        		
		                        			CONCLUSION
		                        			The aaIPI staging combination with molecular biology markers is more conducive to accurately judging the prognosis of young DLBCL patients. TP53, POU2AF1 and CCND3 mutations predict worse survival in the patients with the aaIPI high-risk group.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Prognosis
		                        			;
		                        		
		                        			Lymphoma, Large B-Cell, Diffuse/genetics*
		                        			;
		                        		
		                        			Biomarkers
		                        			;
		                        		
		                        			Mutation
		                        			;
		                        		
		                        			High-Throughput Nucleotide Sequencing
		                        			
		                        		
		                        	
6.Circuit-Specific Control of Blood Pressure by PNMT-Expressing Nucleus Tractus Solitarii Neurons.
Shirui JUN ; Xianhong OU ; Luo SHI ; Hongxiao YU ; Tianjiao DENG ; Jinting CHEN ; Xiaojun NIE ; Yinchao HAO ; Yishuo SHI ; Wei LIU ; Yanming TIAN ; Sheng WANG ; Fang YUAN
Neuroscience Bulletin 2023;39(8):1193-1209
		                        		
		                        			
		                        			The nucleus tractus solitarii (NTS) is one of the morphologically and functionally defined centers that engage in the autonomic regulation of cardiovascular activity. Phenotypically-characterized NTS neurons have been implicated in the differential regulation of blood pressure (BP). Here, we investigated whether phenylethanolamine N-methyltransferase (PNMT)-expressing NTS (NTSPNMT) neurons contribute to the control of BP. We demonstrate that photostimulation of NTSPNMT neurons has variable effects on BP. A depressor response was produced during optogenetic stimulation of NTSPNMT neurons projecting to the paraventricular nucleus of the hypothalamus, lateral parabrachial nucleus, and caudal ventrolateral medulla. Conversely, photostimulation of NTSPNMT neurons projecting to the rostral ventrolateral medulla produced a robust pressor response and bradycardia. In addition, genetic ablation of both NTSPNMT neurons and those projecting to the rostral ventrolateral medulla impaired the arterial baroreflex. Overall, we revealed the neuronal phenotype- and circuit-specific mechanisms underlying the contribution of NTSPNMT neurons to the regulation of BP.
		                        		
		                        		
		                        		
		                        			Solitary Nucleus/metabolism*
		                        			;
		                        		
		                        			Blood Pressure/physiology*
		                        			;
		                        		
		                        			Phenylethanolamine N-Methyltransferase/metabolism*
		                        			;
		                        		
		                        			Neurons/metabolism*
		                        			;
		                        		
		                        			Paraventricular Hypothalamic Nucleus/metabolism*
		                        			
		                        		
		                        	
7.Construction and optimization of a novel plasma membrane model for membrane affinity assay based on polydiacetylene vesicles
Chai-chai NIE ; Rui-ting DONG ; Yu-tong WU ; Jing-bo WU ; Sheng ZHANG ; Feng ZHENG ; Ya DING
Acta Pharmaceutica Sinica 2023;58(8):2503-2511
		                        		
		                        			
		                        			 Most drugs need to interact with cell membrane to reach the biological target, so that membrane affinity assay is an important early screening step in drug discovery. However, at present, the traditional oil-water distribution method is still used, a new, simple and accurate method for membrane affinity assay is urgently needed. In this study, according to the colorimetric principle, a new assay model based on polydiacetylene vesicles was optimized through a series of experiments including different concentrations of vesicle solution, temperature, or pH reaction environment. On this basis, tetracaine hydrochloride, 2-methylimidazole and histamine were used as model drugs to measure the membrane affinity constants and verify the between-batch precision of the optimized assay model (relative standard deviation less than 5%). In addition, polydiacetylene vesicles were stable for up to 180 days, demonstrating the potential application of the assay model. This strategy is simple, stable, reliable, with high reproducibility, low cost and easy to promote, which provided a new tool and a new direction for the high-throughput assay of membrane affinity. 
		                        		
		                        		
		                        		
		                        	
8.Curative effect of full-femtosecond small incision lenticule extraction on the treatment of high myopia based on propensity score matching
Peng LYU ; Yu-Hong CHEN ; Hao XU ; Zhen-Fang JIANG ; Wei-Xia XIAO ; Sheng-Mei LU ; Hong NIE ; Ning-Yan BAI
International Eye Science 2023;23(9):1555-1559
		                        		
		                        			
		                        			 AIM: To analyze the effect of full-femtosecond small incision lenticule extraction(SMILE)on the treatment of high myopia based on propensity score matching.METHODS: A total of 48 cases(48 eyes)of high myopia patients who underwent SMILE surgery in our hospital from May 2019 to May 2021 were selected as the observation group, and 48 cases(48 eyes)of high myopia patients who underwent FS-LASIK surgery were matched using propensity score matching as the control group. Follow up for 6mo after surgery, the changes in cylindrical, central corneal thickness, uncorrected visual acuity(UCVA), corneal endothelial cell related indicators [percentage of hexagonal endothelial cells(6A), coefficient of variation(CV)of endothelial cell area, central corneal endothelial cell density(ECD)] and corneal biomechanical indicators [simulated Goldman intraocular pressure(IOPg), corneal hysteresis(CH), corneal resistance factor(CRF), corneal compensated intraocular pressure(IOPcc)] between the two groups were compared, and the incidence of complications in both groups of patients was recorded.RESULTS: Both groups of patients showed significant improvements in cylindrical and UCVA at 3 and 6mo after surgery, as well as decreased central corneal thickness, corneal endothelial cells, and corneal biomechanics related indicators. The changes in the observation group were more significant(all P<0.05). During the follow-up period, there was no significant difference in the incidence of complications between the observation group and the control group(8% vs. 17%, P>0.05).CONCLUSION: SMILE has a definite effect on patients with high myopia and is helpful to improve visual acuity. 
		                        		
		                        		
		                        		
		                        	
9.Association between urinary polycyclic aromatic hydrocarbons metabolites and high-normal blood pressure in coke oven workers
MA Yi fei YAO Xi yuan WANG Hui min FU Meng meng WANG Yi dong NIE Ji sheng
China Occupational Medicine 2022;49(06):621-625
		                        		
		                        			
		                        			Objective ( )
To investigate the association between urinary polycyclic aromatic hydrocarbons PAHs metabolites
- Methods
and high normal blood pressure in coke oven workers. A total of 433 coke oven workers were selected as the study
-
subjects using convenient sampling method. They were divided into normal blood pressure group and high normal blood pressure
group according to their blood pressure level. The levels of ten kinds of urinary hydroxylated PAHs metabolites were measured by
- Results -
high performance liquid chromatography mass spectrometry. Among the subjects,57.5% had high normal blood
- , - , -
pressure. The levels of 1 hydroxynathalene 2 hydroxyphenanthrene 1 hydroxyphenanthrene and the metabolite of total PAHs
- ( P )
in the high normal blood pressure group were higher than those in the normal blood pressure group all <0.05 . The results of
- , - , - ,
the multivariate logistic regression analysis showed that urinary 1 hydroxynathalene 2 hydroxyfluorene 3 hydroxychrysene
- ( P ),
and metabolite of total PAHs were all risk factors for high normal blood pressure in coke oven workers all <0.05 after
, , , , ,
adjusting for confounding factors such as gender length of service body mass index smoking index alcohol consumption tea
, , , Conclusion
consumption night shift exercise frequency and other PAHs metabolites. Exposure to PAHs in coke oven
plants may increase the risk of elevated blood pressure within the normal range among coke oven workers.
		                        		
		                        		
		                        		
		                        	
10.Analysis of occurrence pattern of work-related musculoskeletal disorders among workers in a shipyard
LIAO Ming liang ZHANG Dan ying NIE Xin qiang HE Zhi peng LIN Han sheng
China Occupational Medicine 2022;49(05):488-
		                        		
		                        			
		                        			Objective - ( )
To analyze the occurrence pattern of work related musculoskeletal disorders WMSDs among workers
Methods
in a shipyard based on latent category model. A total of 446 workers from a shipyard in Guangdong Province were
selected as the research subjects using convenience sampling method. The prevalence of WMSDs in the past year was
,
investigated using China Musculoskeletal Questionnaire and the occurrence patterns of WMSDs were analyzed by latent class.
Results ( )
The prevalence of WMSDs in the past year was 71.1% 317/446 . The prevalence of WMSDs in single site was 24.4%
( ), ( ) -
109/446 and was 46.6% 208/446 in multiple sites. The prevalence of WMSDs in multiple sites was 3.9 17.3 times higher
than that in single site. The fitting results of latent class model showed that the model with three latent classes was the best
- ( ),
model. The three potential categories of WMSDs occurrence patterns in the study subjects were the all site group 28 patients
( ), ( ), ,
the neck and lower back/waistgroup 153 patients and the few or no site group 265 patients accounting for 6.3% 34.3%
, Conclusion
and 59.4% respectively. WMSDs of shipyard workers have obvious category characteristics. Latent class analysis
can be used to explore the occurrence pattern of WMSDs in shipyard workers.
		                        		
		                        		
		                        		
		                        	
            
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