1.Exploration and practice of training system for laboratory medicine postgraduates by the combination of medicine and engineering
Chinese Journal of Laboratory Medicine 2024;47(1):94-97
It is of great significance to reposition the development of inspection discipline, vigorously promote the construction of talents and improve the overall scientific quality of industry personnel by training laboratory medicine postgraduate students with the combination strategies of medicine and engineering. Here, a series of explorations and practices was performed in the training process of graduate students in medical and industrial laboratory medicine in our department. This study has adopted a series of training measures for graduate students of laboratory medicine with characteristics of combination of medicine and engineering, including the construction of characteristic training concept, the construction of graduate tutor team, the targeted curriculum, and the exchange study in the institute of engineering. Significant teaching achievements have been made in personnel training and scientific research output, which is of great value for exploring the cultivation of new laboratory medicine professionals.
2.Research and application of Surface-enhanced Raman scattering technique in biomedical detection
Xiaojing YIN ; Chuanli REN ; Chongxu HAN ; Pan YANG ; Lin ZHOU ; Weiling FU ; Yang ZHANG
Chinese Journal of Laboratory Medicine 2024;47(3):314-322
The application of Raman spectroscopy in the field of laboratory medicine is making continuous progress and development. The biosensor platform based on Raman spectroscopy provides a new means for accurate molecular diagnosis of diseases. In particular, as a fast and non-destructive detection method, surface-enhanced Raman scattering has the advantages of simple sample preparation, little interference from water and real-time detection, and shows great application potential in the field of medical examination. At the same time, with the integration of SERS and other technologies, including electrochemistry, new nano-materials, microfluidic, biochip, DNA nano-machine, artificial intelligence and machine learning, it will play a more and more important role in the field of medical laboratory. With the deepening of SERS research and the cross-integration between multiple disciplines, it will be widely used in biomedical detection and is expected to become an important technology platform for the next generation of precision diagnosis.
3.Population genetics analysis of Oncomelania hupensis in Jiaxing, Zhejiang Province, 2022
Weiling GU ; Hanqi PENG ; Hanxiang ZHANG ; Zelin XIANG ; Zhongwen CHEN ; Xiaofei FU ; Yunpeng QI ; Liang XIE ; Jie HU ; Dabing LYU
Shanghai Journal of Preventive Medicine 2024;36(6):559-562
ObjectiveTo genotype Oncomelania hupensis, based on microsatellites, in different snail-bearing environments in Jiaxing City, Zhejiang Province, for population genetics analysis in order to explore the reasons and influencing factors for the existence or proliferation of snails and to provide scientific basis for effective monitoring and control of snails. MethodsA total of 90 snail samples from three populations were collected in Yaobang Village (YB) and Sanxing Village (SX) in Pinghu City, and Yunhe Farm (YH) in Xiuzhou District, all were selected for snail checking in key snail habitats of Jiaxing City in 2022. DNA of the snails was genotyped and analyzed for population genetics using nine microsatellite loci. ResultsA total of 84 alleles were observed, and the mean number of alleles (Na) was 7.889, 5.667, and 3.778 for YB, SX, and YH respectively; the number of effective alleles (NeA) was 4.807, 3.329, and 2.294, respectively; and the coefficients of inbreeding (FIS) were 0.400, 0.377, and 0.493, respectively. Under the Infinite Allele Model (IAM), the SX and YH might have a recent bottleneck. The NEstimator and LDNe software calculated effective population sizes (Ne) were above 31.9. AMOVA analysis showed that the variation of snails in the three populations mainly existed among individuals, accounting for 41.4% of the total variation. The value of the index of genetic differentiation between populations (FST) was 0.286, indicating a high degree of genetic differentiation. The results of the principal component analysis and phylogenetic tree were consistent, and the three populations were divided into two lineages, YB and SX were one lineage, and YH belonged to another independent lineage. Population history and dynamics analysis showed that the gene flow of the three populations was insufficient, population divergence history indicated that YH might have diverged from SX first, and YB was produced by the contact fusion of SX and YH. ConclusionThe genetic diversity of snail populations in Jiaxing City is generally low, and the snail populations are unstable, with a great degree of genetic differentiation and insufficient gene flow among populations. This study can provide a basis for evaluating the effectiveness of the control of the snail as well as monitoring the trend of the spread of the snail.
4.Research progress of novel DNAzyme biosensing technology in liquid biopsy for tumors
Jiangnan ZENG ; Pan YANG ; Liyi LI ; Weiling FU ; Yongzhong WU ; Yang ZHANG
Chinese Journal of Laboratory Medicine 2024;47(11):1355-1360
Tumors pose a serious challenge to global public health. The sensitive and precise detection of tumor biomarkers is very important for early screening and diagnosis of cancers. DNAzymes with outstanding physical, chemical, and biological properties are widely applied in the design of biosensing strategies. By the use of sensing platforms such as fluorescence, electrochemistry, and surface-enhanced Raman scattering, DNAzymes facilitate the early screening and detection of tumors. This article summarizes the functional mechanism and common classifications of DNAzymes, and the updates of DNAzymes-based novel biosensing technologies within the field of liquid biopsy, expecting the technical challenges yet to be surmounted and future developmental directions.
5.Applications of CRISPR/Cas-based biosensing strategies in rapid pathogen detection
Pan YANG ; Lixiang WU ; Yali WANG ; Weiling FU ; Yang ZHANG
Chinese Journal of Laboratory Medicine 2023;46(11):1211-1216
In recent years, infectious pathogens have received sustained attention because of their serious impact on the world′s health and socio-economic infrastructure. The existing common detection methods lack a certain sensitivity and specificity, the process is tedious, and they rely on more expensive auxiliary instruments and equipment. On the other hand, clustered regularly interspaced short palindromic repeats/clustered regularly interspaced short palindromic repeats associated protein (CRISPR/Cas) has been widely used in the monitoring of infectious diseases due to its high specificity, sensitivity, and rapid programmable characteristics, and has shown important potential significance in the research of new biosensors in nucleic acid detection. This paper describes the functional mechanism of Cas protein commonly used in CRISPR/Cas system, summarizes the latest research progress of new biosensor technology based on CRISPR/Cas system in the field of infectious disease detection, and looks forward to the technical problems to be solved and the future development direction. With more research advancement, more types of biosensing platforms based on CRISPR/Cas system are expected to be developed, paving the way for the application of POCT in the field of rapid pathogen detection.
6.Epidemiological investigation of a cluster of COVID-19 in badminton venues
XIANG Zelin ; FU Xiaofei ; QI Yunpeng ; ZHU Guoying ; GU Weiling ; HU Jie ; LI Fudong ; ZHOU Wanling ; HOU Zhigang ; LIU Yang ; LIU Yanqing ; GUO Feifei ; LU Xianquan ; GUO Linjie ; CHEN Zhongwen
Journal of Preventive Medicine 2023;35(4):316-319
Objective:
To perform an epidemiological survey of the first case with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in Pinghu City of Jiaxing City, Zhejiang Province on March 13, 2022, so as to provide insights into the management of coronavirus disease (COVID-19) epidemics.
Methods:
According to the requirements of the Protocol on Prevention and Control of COVID-19 (8th Edition), epidemiological investigations were performed among 39 cases with SARS-CoV-2 infections in Pinghu City from March 13 to 20, 2022. Cases' demographics, clinical symptoms, history of immunization and exposure were collected, and close contacts were identified. Pharyngeal swabs were sampled from infected cases for detection of SARS-CoV-2 nucleic acid and whole-genome sequencing, and the source of infection and transmission route were investigated.
Results:
The index case for this COVID-19 epidemic was an imported case from Shanghai Municipality, who infected 6 persons via aerosol transmission when playing in the badminton venue of Pinghu National Fitness Center on March 9; subsequently, one of these infected cases infected another 18 persons when playing in the badminton venue of Jiadian Village Resident's Fitness Center in Zhapu Township on March 12. Sixteen confirmed cases were reported, and all cases were mild; another 23 asymptomatic cases were diagnosed, with no death reported. This epidemic occurred from March 11 to 20, with 3 generations of spread and a median incubation period of 3 days. The SARS-CoV-2 infected cases had a median age of 33.5 (interquartile range, 12.0) years and included 36 cases with a history of COVID-19 vaccination. There were 16 cases with fever, cough, runny nose and sore throat, and 13 cases with imaging features of pneumonia. The effective reproductive number (Rt) of the COVID-19 epidemic was 7.73 at early stage, and was less than 1 since March 21. Whole-genome sequencing identified Omicron BA.2 variant among 33 cases, which had high homology with the index cases.
Conclusion
This epidemic was a cluster of COVID-19 caused by imported Omicron BA.2 variant infection from Shanghai Municipality, and the COVID-19 transmission was mainly caused by indoor aerosols.
7.Epidemiological characteristics of brucellosis in Jiaxing City from 2010 to 2021
Zelin XIANG ; Weiling GU ; Xiaofei FU ; Yunpeng QI ; Yiwei ZHA ; Yang LIU ; Yanqing LIU ; Feifei GUO ; Yong YAN ; Wanling ZHOU
Journal of Preventive Medicine 2023;35(1):41-43
Objective:
To investigate the epidemiological characteristics of human brucellosis in Jiaxing City from 2010 to 2021, so as to provide insights into the development of the brucellosis control strategy.
Methods:
The epidemiological and clinical data of brucellosis patients and epidemiological data of brucellosis outbreaks in Jiaxing City from 2010 to 2021 were collected from Chinese Disease Control and Prevention Information System, and the epidemiological features and outbreaks of brucellosis were analyzed descriptively.
Results:
Totally 160 brucellosis patients were reported in Jiaxing City from 2010 to 2021, and the incidence of brucellosis appeared a tendency towards a rise (χ2trend=28.564, P=0.002), with annual mean incidence of 0.29/105. No deaths due to brucellosis occurred in Jiaxing City from 2010 to 2021. Brucellosis cases were reported each month, which were concentrated in the first and second quarters, and the greatest number was seen in May (27 cases, 16.88%). The brucellosis cases were predominantly reported in Tongxiang City (114 cases, 71.25%), and 75.00% were male (120 cases) and 70.63% were occupational populations (113 cases). The patients had a median (interquartile range) age of 57 (12) years at onset, and the median duration (interquartile range) from onset to definitive diagnosis was 18 (28) days. The clinical manifestations mainly included fever and weakness, and a total of 18 Brucella melitensis isolates and one B. bovis isolate were cultured.
Conclusions
The incidence of brucellosis was rising in Jiaxing City from 2010 to 2021. The brucellosis patients were predominantly reported in Tongxiang City in the first and second quarters, and young, middle-aged men and occupational populations were at a high risk of brucellosis.
8.An epidemiological investigation of an border-imported case with Plasmodium vivax malaria
Xiaofei FU ; Yanqing LIU ; Weiling GU ; Yunpeng QI ; Linong YAO ; Wei RUAN
Journal of Preventive Medicine 2023;35(1):68-70
Abstract
On March 12, 2022, a case with Plasmodium vivax malaria was reported in the First Hospital of Jiaxing City. The case sought healthcare services due to persist, sharp distending pain of the brain and fever on February 25, 2022, and the symptoms showed no improvements following symptomatic treatment. Microscopy identified malaria parasites on March 12, and the case was definitively diagnosed as P. vivax malaria on March 13. The case was discharged from hospital on March 16 and relapsed on June 15. The case was a veteran from the China-Myanmar border, where malaria is highly prevalent, and had no history of travel after returning to Jiaxing City on October 2021. Based on epidemiological history and laboratory tests, the case was diagnosed as a cross-border mosquito-borne imported case of P. vivax malaria. The case was given treatment with mosquito vector isolation, and the case's family members, neighbors and colleagues were all tested negative for malaria parasites. There was no Anopheles sinensis detected in the case' residence; however, Anopheles was detected in the neighboring areas, indicating a risk of re-establishment. Returners from high-risk regions including borders and labor exporters are recommended to be included in malaria surveillance, and the sensitivity of malaria surveillance requires to be maintained and the diagnostic and treatment capability of malaria requires to be improved in medical institutions.
9.Application of digital PCR technology in the precise molecular diagnosis: opportunities and challenges
Fengxin XIE ; Weidong JIN ; Huiyan TIAN ; Haiyan HE ; Weiling FU ; Yang ZHANG
Chinese Journal of Laboratory Medicine 2022;45(3):214-219
Digital polymerase chain reaction (dPCR) is an absolute quantitative technique that has been rapidly developed in recent years. This technique assigns the reaction system containing DNA template to a large number of independent reaction units for PCR, and calculates the DNA copy number according to the Poisson distribution and statistical positive signals. In contrast to conventional qPCR, dPCR does not depend on amplification curves, is not affected by amplification efficiency, thus has high accuracy and repeatability, and can achieve the absolute quantification. This article reviews the development history of dPCR and its application in molecular diagnosis, tumor liquid biopsy and prenatal diagnosis of infectious diseases, and looks forward to the application prospect of this technology.
10.To establish a method of serum detection by Raman spectroscopy for the diagnosis of gastric cancer
Haiyan HE ; Yang ZHANG ; Yunxia WANG ; Guorong HUANG ; Yu XIONG ; Mengya LI ; Fengxin XIE ; Weiling FU
Chinese Journal of Laboratory Medicine 2022;45(8):852-858
Objective:To establish a method of serum detection by Raman spectroscopy for the diagnosis of gastric cancer.Methods:Between April and November 2019, 110 patients with gastric cancer [73 males, 37 females, age (57.4±10.3) years] and 74 patients with colorectal cancer [48 males and 26 females, aged (58.3±12.2) years] were collected at the First Affiliated Hospital of Army Military Medical University, along with 100 healthy subjects [59 males and 41 females, aged (55.6±10.61) years] during the same period. Fasting venous blood serum samples were collected from the subjects. A Raman spectrometer XploRA PLUS was used in this experiment, with an excitation light source of 532 nm, a field of view of 100 times, and a spectrum range of 200-2 000 cm -1, etc. The serum samples were detected by nondestructive and non-contact rapid detection, and the Raman spectra of serum samples were collected. Using the Raman spectrum acquisition and processing supporting software LabSpec6 to smooth, baseline, and normalize the obtained Raman spectrum. Multivariate statistical analysis software SIMCA14.1 were applied to import and analyze the obtained Raman spectrum data by principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), and other methods for statistical analysis. An operating characteristic curve (ROC) was constructed to evaluate the model analysis effect between serum samples of healthy people and those with gastric cancer. Serum samples from the colorectal cancer group were used to verify the reliability of the model. Results:Six Raman peaks with good repeatability were detected in serum samples in health and gastric cancer group, and peaks were located at 1 001.17, 1 154.63, 1 337.89, 1 446.85, 1 515.33, and 1 658.34 cm -1, respectively. Raman intensities at six Raman peaks were significantly different between healthy and gastric cancer groups. At the displacement of 1 001.17, 1 154.63, and 1 515.33 cm -1, the Raman intensity in the healthy group was higher than that in the gastric cancer group. At 1 337.89, 1 446.85, and 1 658.34 cm -1 displacement, the Raman intensity of the gastric cancer group was higher than that of the healthy group. An OPLS-DA model was constructed to analyze the serum samples of the healthy group and the gastric cancer group. In the model, R 2 is the fitting power, and Q 2 is the predictive ability. The closer the values of R 2 and Q 2 are to 1, the better the performance of the model, and the obtained model's R 2X(cum)=0.809, R 2Y(cum)=0.819, Q 2(cum)=0.758. ROC characteristic curve was drawn based on the OPLS-DA model. The area under the curve (AUC) of the gastric cancer group was 0.998. Six peaks with good repeatability were detected in the serum Raman spectra of gastric cancer stage Ⅰ, Ⅱ, Ⅲ, and Ⅳ, which were located at the displacement of 1 001.85, 1 155.07, 1 338.36, 1 445.75, 1 515.92, and 1 657.68 cm -1, respectively, and at the displacement of 1 155.07 and 1 515.92 cm -1. The Raman intensity of gastric cancer stage Ⅳwas significantly higher than that of gastric cancer stages Ⅰ, Ⅱ, and Ⅲ. Conclusions:According to the model reliability verification, the healthy group, gastric cancer group and colorectal cancer group can also be effectively separated based on OPLS-DA results; it showed a good performance in separating the healthy group from the gastric cancer group. It is possible to detect serum samples from healthy people and gastric cancer patients unlabeled by combining Raman spectroscopy and the OPLS-DA method in multivariate statistics.


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