Objective To verify the applicability of a pig STR multiplex amplification system for detecting processed foods containing pork and their digestive samples,and to evaluate its potential in food safety and forensic biological evidence analysis.Methods DNA profiles were obtained using the pig STR amplification system from food samples with different levels of processing(raw pork,boiled pork,fried pork,and sausage)and from digestive samples(rat gastric contents).The influence of processing methods on DNA integrity was assessed.The uniformity of large-scale processed ham products,the consistency of DNA profiles from different parts of the same sample,and the DNA degradation patterns after rat digestion were examined.Results STR profiling of pig DNA was successful in all tested samples.Short fragments showed high amplification stability,while long fragment signals weakened with increasing processing complexity.In processed ham products,DNA profiles were consistent across all sampled parts,with fragment drift within±0.5 bp.Analysis of rat gastric contents showed slight DNA degradation within 2 hours;after 3 hours,long fragment signals weakened,and after 4 hours,some loci signals were lost.Conclusion The pig STR multiplex amplification system exhibits excellent performance in detecting processed pork products and their digestive samples.It can meet the requirements of food traceability and forensic biological evidence analysis for processed pork,providing new insights for the advancement of forensic testing techniques in this field.

In order to adapt to teaching reform of Medical Immunology and create a"golden course",through teaching prac-tice,our research group proposes a"three-dimensional curriculum teaching system",which organically combines teaching concepts with teaching design and process,with construction of various resources(material libraries),and finally,multi-level teaching evalua-tion is completed to achieve overall unity of teaching.

In order to adapt to teaching reform of Medical Immunology and create a"golden course",through teaching prac-tice,our research group proposes a"three-dimensional curriculum teaching system",which organically combines teaching concepts with teaching design and process,with construction of various resources(material libraries),and finally,multi-level teaching evalua-tion is completed to achieve overall unity of teaching.

Objective To verify the applicability of a pig STR multiplex amplification system for detecting processed foods containing pork and their digestive samples,and to evaluate its potential in food safety and forensic biological evidence analysis.Methods DNA profiles were obtained using the pig STR amplification system from food samples with different levels of processing(raw pork,boiled pork,fried pork,and sausage)and from digestive samples(rat gastric contents).The influence of processing methods on DNA integrity was assessed.The uniformity of large-scale processed ham products,the consistency of DNA profiles from different parts of the same sample,and the DNA degradation patterns after rat digestion were examined.Results STR profiling of pig DNA was successful in all tested samples.Short fragments showed high amplification stability,while long fragment signals weakened with increasing processing complexity.In processed ham products,DNA profiles were consistent across all sampled parts,with fragment drift within±0.5 bp.Analysis of rat gastric contents showed slight DNA degradation within 2 hours;after 3 hours,long fragment signals weakened,and after 4 hours,some loci signals were lost.Conclusion The pig STR multiplex amplification system exhibits excellent performance in detecting processed pork products and their digestive samples.It can meet the requirements of food traceability and forensic biological evidence analysis for processed pork,providing new insights for the advancement of forensic testing techniques in this field.

The DNA characterization of Cannabis sativa L.has been one of the key directions of anti-drug research at home and abroad.Previous research mainly focused on the identification of cannabis-species and gender differentiation,and have constructed a number of corresponding composite amplification systems.With the rapid development of high-throughput sequencing technology,the whole genome of C.sativa and the sequences of key enzyme genes for its major physicochemical components have been sequenced successively,and intra-species differentiation studies of C.sativa based on specific molecular markers have gradually emerged.However,due to the high variability of cannabis subspecies-and variety-specific molecular markers,relevant foreign studies failed to provide ideal molecular marker support for the identification of intra-specific distinctions of Cannabis sativa in China.Based on this,this paper comprehensively analyzes the current situation and shortcomings of domestic and international research on intra-specific differentiation of C.sativa,and combines the previous research results of this group to elaborate on how to use high-throughput sequencing technology to solve the problem of the lack of intra-specific molecular markers of C.sativa in China.

Forensic medicine is the key force in crime scene investigations and identifications.It is also the traditional technique with the most personnel and the widest coverage of applications in criminalistics.Virtual autopsy is an innovative method of postmortem examination with high level scientific technology,high examining efficiency,and high digital value.Its unique advantages of non-invasiveness,digitalization,and reproducibility help to change the public's traditional concept of forensic autopsy.It can also improve the scientific and accuracy in identification of causes of death,help to accumulate data resources,and connect with the development of big data strategies and artificial intelligence in public security.Under the tide of developing new quality productive forces,forensic practitioners should focus on the opportunity of researches and practices on virtual autopsy.As a new quality identifying technology,virtual autopsy will strength the public security by fulfilling forensic mission and expanding medical-legal applications.

Forensic medicine is the key force in crime scene investigations and identifications.It is also the traditional technique with the most personnel and the widest coverage of applications in criminalistics.Virtual autopsy is an innovative method of postmortem examination with high level scientific technology,high examining efficiency,and high digital value.Its unique advantages of non-invasiveness,digitalization,and reproducibility help to change the public's traditional concept of forensic autopsy.It can also improve the scientific and accuracy in identification of causes of death,help to accumulate data resources,and connect with the development of big data strategies and artificial intelligence in public security.Under the tide of developing new quality productive forces,forensic practitioners should focus on the opportunity of researches and practices on virtual autopsy.As a new quality identifying technology,virtual autopsy will strength the public security by fulfilling forensic mission and expanding medical-legal applications.

Purpose: Bone destruction and pain caused by cancer is one of the most devastating complications of cancer patients with bone metastases, and it seriously affects the quality of patients’ life. Extracellular matrix metalloproteinase inducer (EMMPRIN) is a cell adhesion molecule with increased expression in a variety of tumors. This study focused to clarify the specific function of EMMPRIN in bone metastasis of breast cancer. Materials and Methods: Adenovirus with shRNA-EMMPRIN was transfected into MRMT-1 rat breast carcinoma cells, and the MRMT-1 cells with different expression levels of EMMPRIN were implanted into the bone marrow cavity of rat tibia. Next, the effect of down-regulation of EMMPRIN was evaluated as follows: bone damage was detected by X-ray radiological and tartrate-resistant acid phosphatase staining; the tumor burden was evaluated by hematoxylin and eosin staining; the test of pain-related behaviors was assessed used the bilateral paw withdrawal mechanical threshold; and the levels of secretory factors in tumor conditioned medium were determined by using enzyme-linked immunosorbent assay. Results: We found that down-regulation of EMMPRIN in tumor cells can simultaneously reduce tumor burden, relieve cancer-induced bone destruction and pain. Conclusion: Materials and Methods EMMPRIN is expected to be a therapeutic target for relieving bone metastasis of breast cancer and alleviating cancerinduced bone destruction and pain. The method of targeting EMMPRIN may be a promising strategy for the treatment of cancer in the future.

Purpose: Bone destruction and pain caused by cancer is one of the most devastating complications of cancer patients with bone metastases, and it seriously affects the quality of patients’ life. Extracellular matrix metalloproteinase inducer (EMMPRIN) is a cell adhesion molecule with increased expression in a variety of tumors. This study focused to clarify the specific function of EMMPRIN in bone metastasis of breast cancer. Materials and Methods: Adenovirus with shRNA-EMMPRIN was transfected into MRMT-1 rat breast carcinoma cells, and the MRMT-1 cells with different expression levels of EMMPRIN were implanted into the bone marrow cavity of rat tibia. Next, the effect of down-regulation of EMMPRIN was evaluated as follows: bone damage was detected by X-ray radiological and tartrate-resistant acid phosphatase staining; the tumor burden was evaluated by hematoxylin and eosin staining; the test of pain-related behaviors was assessed used the bilateral paw withdrawal mechanical threshold; and the levels of secretory factors in tumor conditioned medium were determined by using enzyme-linked immunosorbent assay. Results: We found that down-regulation of EMMPRIN in tumor cells can simultaneously reduce tumor burden, relieve cancer-induced bone destruction and pain. Conclusion: Materials and Methods EMMPRIN is expected to be a therapeutic target for relieving bone metastasis of breast cancer and alleviating cancerinduced bone destruction and pain. The method of targeting EMMPRIN may be a promising strategy for the treatment of cancer in the future.

Objective To develop and validate a model based on deep learning for automatic diagnosis of early gastric cancer ( EGC) to improve detection and diagnosis of EGC. Methods A total of 5159 images ( including 1000 images of EGC and 4159 images of other benign lesions or normal patients) obtained from May 2014 to December 2016 were collected from endoscopic database in changhai Hospital. Then 4449 images were selected randomly for a deep convolutional neural network ( CNN ) training, of which 768 were diagnosed as EGC and 3681 diagnosed as other benign lesions or normal. The remaining 710 images were used to test the model by comparing with diagnostic results of four endoscopists. Results The deep learning model showed accuracy of 89. 4％ ( 635/710 ) , sensitivity of 88. 8％ ( 206/232 ) and specificity of 89. 7％ ( 429/478) for EGC. The mean time required for diagnosis was 0. 30 ± 0. 02 s. The performance of the model was superior to that of four endoscopists. Conclusion The model based on deep learning has high accuracy,sensitivity and specificity for detecting EGC,which could assist endoscopists in real-time diagnosis.