Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Cold has been a long-term survival challenge in the evolutionary process of mammals. In response to cold stress, in addition to brown adipose tissue (BAT) dissipating energy as heat through glucose and lipid oxidation to maintain body temperature, cold stimulation can strongly activate thermogenesis and energy expenditure in beige fat cells, which are widely distributed in the subcutaneous layer. However, the effects of cold stimulation on other tissues and systemic lipid metabolism remain unclear. Our previous research indicated that, under cold stress, BAT not only produces heat but also secretes numerous exosomes to mediate BAT-liver crosstalk. Whether subcutaneous fat has a similar mechanism is still unknown. Therefore, this study aimed to investigate the alterations in lipid metabolism across various tissues under cold exposure and to explore whether subcutaneous fat regulates systemic glucose and lipid metabolism via exosomes, thereby elucidating the regulatory mechanisms of lipid metabolism homeostasis under physiological stress. RT-qPCR, Western blot, and H&E staining methods were used to investigate the physiological changes in lipid metabolism in the serum, liver, epididymal white adipose tissue, and subcutaneous fat of mice under cold stimulation. The results revealed that cold exposure significantly enhanced the thermogenic activity of subcutaneous adipose tissue and markedly increased exosome secretion. These exosomes were efficiently taken up by hepatocytes, where they profoundly influenced hepatic lipid metabolism, as evidenced by alterations in the expression levels of key genes involved in lipid synthesis and catabolism pathways. This study has unveiled a novel mechanism by which subcutaneous fat regulates lipid metabolism through exosome secretion under cold stimulation, providing new insights into the systemic regulatory role of beige adipocytes under cold stress and offering a theoretical basis for the development of new therapeutic strategies for obesity and metabolic diseases.
Animals ; Lipid Metabolism/physiology* ; Mice ; Exosomes/metabolism* ; Cold Temperature ; Subcutaneous Fat/physiology* ; Thermogenesis/physiology* ; Adipose Tissue, Brown/metabolism* ; Male

Physiologically based pharmacokinetic (PBPK) models have been widely used to predict various stages of drug absorption, distribution, metabolism and excretion. Models based on machine learning (ML) and artificial intelligence (AI) can provide better ideas for the construction of PBPK models, which can accelerate the prediction speed and improve the prediction quality of PBPK. ML and AL can complement the advantages of PBPK model to accelerate the progress of drug research and development. This review introduces the application of machine learning and artificial intelligence in pharmacokinetics, summarizes the research progress of physiological pharmacokinetic models based on machine learning and artificial intelligence, and analyzes the limitations of machine learning and artificial intelligence applications and their application prospects and prospects.

Objective To explore epidemic characteristics of the coexistence of common chronic diseases among community residents in Jiading District, Shanghai, and to provide a basis for comprehensive prevention and control of chronic diseases in the community. Methods A multi-stage stratified cluster random sampling method was adopted in the present study, and residents over 20 years old in three selected streets (towns) were investigated. SPSS statistical software was used to analyze the data, and χ² test was used to compare the difference between groups. Results Among the respondents, 24.80% had no chronic diseases and 75.20% had various chronic diseases. The top ten most common diseases were hypertension (37.82%), fatty liver (30.10%), chronic gastritis (18.11%), hyperlipidemia (14.51%), thyroid disease (8.85%), diabetes mellitus (8.65%), renal cyst (8.12%), chronic bronchitis (7.62%), kidney stone (6.97%) and gout (5.75%). The prevalence increased with age. Chronic diseases existed in the form of multiple diseases, and the prevalence rates of two, three, four, five, six and more chronic diseases at the same time were respectively 19.78%, 13.07%, 7.90%, 4.11% and 4.09%. The most common comorbid diseases were hypertension, hyperlipidemia and diabetes combined with other chronic diseases. Conclusion The prevalence of chronic diseases in residents in Jiading District was very high. Most of the residents suffered from multiple chronic diseases in which hypertension, hyperlipidemia and diabetes were the common basis. The comprehensive prevention and control of chronic diseases in the community should be strengthened.

Rats ; Animals ; RNA, Long Noncoding/genetics* ; RNA, Messenger/genetics* ; Microwaves ; Transcriptome ; Hippocampus

China/epidemiology* ; Humans ; Mycobacterium Infections, Nontuberculous/microbiology* ; Nontuberculous Mycobacteria/classification* ; Transients and Migrants

Objective: To investigate the incidence and trend of short-term outcomes among preterm infants born <34 weeks' gestation. Methods: A secondary analysis of data from the standardized database established by a multicenter cluster-randomized controlled study "reduction of infection in neonatal intensive care units (NICU) using the evidence-based practice for improving quality (REIN-EPIQ) study". This study was conducted in 25 tertiary NICU. A total of 27 192 infants with gestational age <34 weeks at birth and admitted to NICU within the first 7 days of life from May 2015 to April 2018 were enrolled. Infants with severe congenital malformation were excluded. Descriptive analyses were used to describe the mortality and major morbidities of preterm infants by gestational age groups and different admission year groups. Cochran-Armitage test and Jonckheere-Terpstra test were used to analyze the trend of incidences of mortality and morbidities in 3 study-years. Multiple Logistic regression model was constructed to analyze the differences of outcomes in 3 study-years adjusting for confounders. Results: A total of 27 192 preterm infants were enrolled with gestational age of (31.3±2.0) weeks at birth and weight of (1 617±415) g at birth. Overall, 9.5% (2 594/27 192) of infants were discharged against medical advice, and the overall mortality rate was 10.7% (2 907/27 192). Mortality for infants who received complete care was 4.7% (1 147/24 598), and mortality or any major morbidity was 26.2% (6 452/24 598). The incidences of moderate to severe bronchopulmonary dysplasia, sepsis, severe intraventricular hemorrhage or periventricular leukomalacia, proven necrotizing enterocolitis, and severe retinopathy of prematurity were 16.0% (4 342/27 192), 11.9% (3 225/27 192), 6.8% (1 641/24 206), 3.6% (939/25 762) and 1.5% (214/13 868), respectively. There was a decreasing of the overall mortality (P<0.001) during the 3 years. Also, the incidences for sepsis and severe retinopathy of prematurity both decreased (both P<0.001). However, there were no significant differences in the major morbidity in preterm infants who received complete care during the 3-year study period (P=0.230). After adjusting for confounders, infants admitted during the third study year showed significantly lower risk of overall mortality (adjust OR=0.62, 95%CI 0.55-0.69, P<0.001), mortality or major morbidity, moderate to severe bronchopulmonary dysplasia, sepsis and severe retinopathy of prematurity, compared to those admitted in the first study year (all P<0.05). Conclusions: From 2015 to 2018, the mortality and major morbidities among preterm infants in Chinese NICU decreased, but there is still space for further efforts. Further targeted quality improvement is needed to improve the overall outcome of preterm infants.
Bronchopulmonary Dysplasia/epidemiology* ; Gestational Age ; Humans ; Infant ; Infant Mortality/trends* ; Infant, Newborn ; Infant, Premature ; Infant, Premature, Diseases/epidemiology* ; Patient Discharge ; Retinopathy of Prematurity/epidemiology* ; Sepsis/epidemiology*

Objective: To observe the incidence and treatment of radiation rectal injury complicated with anxiety, depression and somatic symptom disorder. Methods: A cross-sectional survey research method was carried out. Patients with radiation rectal injury managed by members of the editorial board of Chinese Journal of Gastrointestinal Surgery were the subjects of investigation. The inclusion criteria of the survey subjects: (1) patients suffered from pelvic tumors and received pelvic radiotherapy; (2) colonoscopy showed inflammatory reaction or ulcer in the rectum. Exclusion criteria: (1) patient had a history of psycho-somatic disease before radiotherapy; (2) patient was unable to use a smart phone, unable to read and understand the questions in the questionnaire displayed on the phone; (3) patient refused to sign an informed consent form. According to the SOMA self-rating scale, PHQ-15 self-rating scale, GAD-7 and PHQ-9 self-rating scale, the electronic questionnaire of "Psychological Survey of Radiation Proctitis" was designed. The questionnaire was sent to patients with radiation rectal injury managed by the committee through the WeChat group. Observational indicators: (1) radiation rectal injury symptom assessment: using SOMA self-rating scale, radiation rectal injury symptom classification: mild group (≤3 points), moderate group (4-6 points) and severe group (> 6 points); (2) incidence of anxiety, depression and physical disorder: using GAD-7, PHQ-9 and PHQ-15 self-rating scales respectively for assessment; (3) correlation of radiation rectal injury symptom grading with anxiety, depression, and somatic symptom disorder. Results: Seventy-one qualified questionnaires were collected, of which 41 (56.9%) were from Guangzhou. Among the 71 patients, 6 were males and 65 were females; the mean age was (55.7±9.3) years old and 48 patients (67.6%) were less than 60 years old; the median confirmed duration of radiation rectal injury was 2.0 (1.0, 5.0) years. (1) Evaluation of symptoms of radiation rectal injury: 18 cases of mild (25.4%), 27 cases of moderate (38.0%), and 26 cases of severe (36.6%). (2) Incidence of anxiety, depression and somatic disorder: 12 patients (16.9%) without comorbidities; 59 patients (83.1%) with anxiety, depression, or somatic disorder, of whom 2 patients only had anxiety, 1 patient only had depression, 9 only had somatic disorder, 2 had anxiety plus depression, 4 had anxiety plus somatic disorder, 2 had depression plus somatic disorder, and 40 had all three symptoms. (3) correlation of radiation rectal injury grading with anxiety, depression, and somatic symptom disorder: as compared to patients in mild group and moderate group, those in severe group had higher severity of anxiety and somatic symptom disorder (Z=-2.143, P=0.032; Z=-2.045, P=0.041), while there was no statistically significant difference of depression between mild group and moderate group (Z=-1.176, P=0.240). Pearson correlation analysis revealed that radiation rectal injury symptom score was positively correlated with anxiety (r=0.300, P=0.013), depression (r=0.287, P=0.015) and somatic symptom disorder (r=0.344, P=0.003). Conclusions: The incidence of anxiety, depression, and somatic symptom disorder in patients with radiation rectal injury is extremely high. It is necessary to strengthen the diagnosis and treatment of somatic symptom disorder, so as to alleviate the symptoms of patients with pelvic perineum pain and improve the quality of life.
Aged ; Anxiety ; Cross-Sectional Studies ; Depression ; Female ; Humans ; Male ; Middle Aged ; Quality of Life ; Rectum ; Surveys and Questionnaires

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.