Medical laboratory workers handle clinical specimens,which are a threat of exposure to infectious agents.Notably,medical laboratory science students report for internships with only theoretical knowledge of biosafety ...Medical laboratory workers handle clinical specimens,which are a threat of exposure to infectious agents.Notably,medical laboratory science students report for internships with only theoretical knowledge of biosafety and biorisk management practices,predisposing them to a higher risk of laboratory hazards.In this study,we assessed the influence of entry-level students'adherence to practices and attitudes towards biosafety and biorisk management during the Internship.An online survey tool was used to explore the practices and attitudes towards laboratory biosafety and risk management.Of the 96 students,60(62.5%)anonymous responses were received,and of these,60.3%were direct entrants,and 32.8%were diploma entrants.Most(91.7%)of the students attended hospital internships,with 60.2%in Biosafety Level(BSL)-2 laboratories and 70.2%rotating in all the core areas of laboratory medicine.The 8.3%who did not attend any internship were under the direct entry category.Exposure to biohazards was not significantly associated with laboratory safety level and student entry category(P>0.05).Recommended laboratory biosafety practices were not significantly associated with the safety level of the laboratory and student entry category(P>0.05).Poor attitudes towards certain laboratory biosafety practices were not significantly associated with the biosafety level of the training laboratory(P>0.05),whereas training(P=0.021)and clean-up procedures(P=0.048)were associated with laboratory safety levels,respectively.The direct entrants had no access to BSL-3 laboratories,and this category of students had a negative attitude towards internship attendance.Therefore,there is a need to create a multi-channel full range laboratory biosafety and biorisk management teaching reforms based on practical application,real case studies,and laboratory simulation to be incorporated into the curriculum to benefit the direct entrant.展开更多
Led by four generations of leadership from late Prof.JIANG Sichang(academician,Chinese Academy of Engineering),Prof.YANG Weiyan(Honorary President,Division of Otolaryngology Head and Neck Surgery,Chinese Medical Assoc...Led by four generations of leadership from late Prof.JIANG Sichang(academician,Chinese Academy of Engineering),Prof.YANG Weiyan(Honorary President,Division of Otolaryngology Head and Neck Surgery,Chinese Medical Association),Prof.HAN Dongyi(President Elected,Division of Otolaryngology Head and Neck Surgery,Chinese Medical Association)to now Prof.YANG Shiming(President,Division of Otolaryngologists,展开更多
With the development of scientific technology,the transition to the intelligent era of digitalization and automation is an irresistible trend for medical laboratories.Medical diagnosis systems have undergone significa...With the development of scientific technology,the transition to the intelligent era of digitalization and automation is an irresistible trend for medical laboratories.Medical diagnosis systems have undergone significant changes as a result of intelligent technologies,such as machine learning,artificial intelligence,and the Internet of Things,from the collection,transmission,and detection of test samples to the review of reports and the provision of clinical feedback.In addition to significantly enhancing the efficiency,consistency,and accuracy of medical laboratory testing,these technologies also assist the improvement of individualized healthcare and medical expert systems,as well as the early detection and treatment of diseases.The future development of medical laboratories will focus on integrating big data and diverse intelligent resources,cooperating more closely with clinical departments,and realizing the effective pathway of patient‐centered care.The purpose of this review is to illustrate the current state of intelligent technology integration in medical laboratories and provide a preliminary discussion about the potential future influences of intelligent technology development on the evolution of medical laboratories.展开更多
Objective To investigate whether or not the intestinal fatty acid binding protein gene (FABP2) Ala54Thr variation is related to non insulin dependent diabetes mellitus (NIDDM), obesity, dyslipidemia and glucose sti...Objective To investigate whether or not the intestinal fatty acid binding protein gene (FABP2) Ala54Thr variation is related to non insulin dependent diabetes mellitus (NIDDM), obesity, dyslipidemia and glucose stimulated insulin secretion (GSIS) in Chinese.Methods The FABP2 Ala54Thr variation was detected by PCR/HhaI digestion in 231 Chinese subjects (116 with normal glucose tolerance (NGT), 54 with impaired glucose tolerance (IGT) and 61 with NIDDM). Plasma glucose, insulin and C peptide levels before and after 75 g glucose load as well as fasting lipid profile were determined.Results (1) The Ala54 and Thr54 allele frequencies in Chinese were 0.71 and 0.29 respectively; (2) The FABP2 Ala54Thr variation was neither associated with fasting and post challenged plasma glucose levels nor with NIDDM; (3) This variation was neither associated with fasting lipid profile nor with obesity; (4) The IGT subjects with genotype Thr54(+) (Thr54 homozygotes and heterozygotes) had lower fasting, 2 hour and total C peptide levels and smaller AUC representing lesser C peptide secretion after glucose challenge than those with genotype Thr54( ) (Ala54 homozygotes) (P= 0.04 , 0.03, 0.01 and 0.01 respectively). The serum insulin levels changed in the same tendency.Conclusions The glucose stimulated insulin secretion (GSIS) reserve of islet beta cells is more limited in subjects with FABP2 Thr54(+) genotype than in those with FABP2 Thr54(-) genotype. It suggests that FABP2 codon 54 variation might contribute to the insufficient insulin secretion in the development of NIDDM in Chinese.展开更多
Objectives To identify possible mutations in our previously cloned candidate gene for hereditary multiple exostoses type Ⅱ (EXT2) in affected members of EXT families so as to confirm that it is the disease causing ...Objectives To identify possible mutations in our previously cloned candidate gene for hereditary multiple exostoses type Ⅱ (EXT2) in affected members of EXT families so as to confirm that it is the disease causing gene. Methods The mutation was detected first by single strand conformational polymorphism(SSCP) of all coding exons of the candidate gene and then by sequencing analysis. Results After analyzing 37 patients from 20 Chinese EXT families by SSCP and DNA sequencing analysis, one 2 bp insertion mutation was identified in this candidate gene in affected members of an EXT family. This mutation resulted in the frameshift and generated a truncated gene product consisting of 105 amino acids. Conclusions The identification of the mutation in the candidate gene indicates that this novel gene is responsible for EXT2 (one of the disease causing gene of EXT).展开更多
文摘Medical laboratory workers handle clinical specimens,which are a threat of exposure to infectious agents.Notably,medical laboratory science students report for internships with only theoretical knowledge of biosafety and biorisk management practices,predisposing them to a higher risk of laboratory hazards.In this study,we assessed the influence of entry-level students'adherence to practices and attitudes towards biosafety and biorisk management during the Internship.An online survey tool was used to explore the practices and attitudes towards laboratory biosafety and risk management.Of the 96 students,60(62.5%)anonymous responses were received,and of these,60.3%were direct entrants,and 32.8%were diploma entrants.Most(91.7%)of the students attended hospital internships,with 60.2%in Biosafety Level(BSL)-2 laboratories and 70.2%rotating in all the core areas of laboratory medicine.The 8.3%who did not attend any internship were under the direct entry category.Exposure to biohazards was not significantly associated with laboratory safety level and student entry category(P>0.05).Recommended laboratory biosafety practices were not significantly associated with the safety level of the laboratory and student entry category(P>0.05).Poor attitudes towards certain laboratory biosafety practices were not significantly associated with the biosafety level of the training laboratory(P>0.05),whereas training(P=0.021)and clean-up procedures(P=0.048)were associated with laboratory safety levels,respectively.The direct entrants had no access to BSL-3 laboratories,and this category of students had a negative attitude towards internship attendance.Therefore,there is a need to create a multi-channel full range laboratory biosafety and biorisk management teaching reforms based on practical application,real case studies,and laboratory simulation to be incorporated into the curriculum to benefit the direct entrant.
文摘Led by four generations of leadership from late Prof.JIANG Sichang(academician,Chinese Academy of Engineering),Prof.YANG Weiyan(Honorary President,Division of Otolaryngology Head and Neck Surgery,Chinese Medical Association),Prof.HAN Dongyi(President Elected,Division of Otolaryngology Head and Neck Surgery,Chinese Medical Association)to now Prof.YANG Shiming(President,Division of Otolaryngologists,
文摘With the development of scientific technology,the transition to the intelligent era of digitalization and automation is an irresistible trend for medical laboratories.Medical diagnosis systems have undergone significant changes as a result of intelligent technologies,such as machine learning,artificial intelligence,and the Internet of Things,from the collection,transmission,and detection of test samples to the review of reports and the provision of clinical feedback.In addition to significantly enhancing the efficiency,consistency,and accuracy of medical laboratory testing,these technologies also assist the improvement of individualized healthcare and medical expert systems,as well as the early detection and treatment of diseases.The future development of medical laboratories will focus on integrating big data and diverse intelligent resources,cooperating more closely with clinical departments,and realizing the effective pathway of patient‐centered care.The purpose of this review is to illustrate the current state of intelligent technology integration in medical laboratories and provide a preliminary discussion about the potential future influences of intelligent technology development on the evolution of medical laboratories.
文摘Objective To investigate whether or not the intestinal fatty acid binding protein gene (FABP2) Ala54Thr variation is related to non insulin dependent diabetes mellitus (NIDDM), obesity, dyslipidemia and glucose stimulated insulin secretion (GSIS) in Chinese.Methods The FABP2 Ala54Thr variation was detected by PCR/HhaI digestion in 231 Chinese subjects (116 with normal glucose tolerance (NGT), 54 with impaired glucose tolerance (IGT) and 61 with NIDDM). Plasma glucose, insulin and C peptide levels before and after 75 g glucose load as well as fasting lipid profile were determined.Results (1) The Ala54 and Thr54 allele frequencies in Chinese were 0.71 and 0.29 respectively; (2) The FABP2 Ala54Thr variation was neither associated with fasting and post challenged plasma glucose levels nor with NIDDM; (3) This variation was neither associated with fasting lipid profile nor with obesity; (4) The IGT subjects with genotype Thr54(+) (Thr54 homozygotes and heterozygotes) had lower fasting, 2 hour and total C peptide levels and smaller AUC representing lesser C peptide secretion after glucose challenge than those with genotype Thr54( ) (Ala54 homozygotes) (P= 0.04 , 0.03, 0.01 and 0.01 respectively). The serum insulin levels changed in the same tendency.Conclusions The glucose stimulated insulin secretion (GSIS) reserve of islet beta cells is more limited in subjects with FABP2 Thr54(+) genotype than in those with FABP2 Thr54(-) genotype. It suggests that FABP2 codon 54 variation might contribute to the insufficient insulin secretion in the development of NIDDM in Chinese.
文摘Objectives To identify possible mutations in our previously cloned candidate gene for hereditary multiple exostoses type Ⅱ (EXT2) in affected members of EXT families so as to confirm that it is the disease causing gene. Methods The mutation was detected first by single strand conformational polymorphism(SSCP) of all coding exons of the candidate gene and then by sequencing analysis. Results After analyzing 37 patients from 20 Chinese EXT families by SSCP and DNA sequencing analysis, one 2 bp insertion mutation was identified in this candidate gene in affected members of an EXT family. This mutation resulted in the frameshift and generated a truncated gene product consisting of 105 amino acids. Conclusions The identification of the mutation in the candidate gene indicates that this novel gene is responsible for EXT2 (one of the disease causing gene of EXT).
