1.Establishment of a Multiplex Detection Method for Common Bacteria in Blood Based on Human Mannan-Binding Lectin Protein-Conjugated Magnetic Bead Enrichment Combined with Recombinase-Aided PCR Technology
Jin Zi ZHAO ; Ping Xiao CHEN ; Wei Shao HUA ; Yu Feng LI ; Meng ZHAO ; Hao Chen XING ; Jie WANG ; Yu Feng TIAN ; Qing Rui ZHANG ; Na Xiao LYU ; Qiang Zhi HAN ; Xin Yu WANG ; Yi Hong LI ; Xin Xin SHEN ; Jun Xue MA ; Qing Yan TIE
Biomedical and Environmental Sciences 2024;37(4):387-398
Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification method.This study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannan-binding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with RAP. Methods Recombinant plasmids were used to evaluate the assay sensitivity.Common blood influenza bacteria were used for the specific detection.Simulated and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)assays.Kappa analysis was used to evaluate the consistency between the two assays. Results The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial species.The M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05). Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.
2.Research progress on toxicokinetics and toxicology of chlorfenapyr
Hongxin ZHANG ; Zejun MA ; Yu GONG ; Na MENG ; Hao XIAO ; Liang LIU ; Baopu LYU ; Hengbo GAO ; Yingping TIAN
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2024;31(3):380-384
Chlorfenapyr,an emerging synthetic pesticide,has been linked to a growing number of poisoning incidents,attributed to heightened human exposure as its application becomes more widespread.However,the toxicokinetics and toxicology of chlorfenapyr remain incompletely understood.Research since the 1990s,including animal experiments,has illuminated the absorption,distribution,excretion,and metabolism of chlorfenapyr.Toxicological investigations have revealed that the primary toxicity of chlorfenapyr is the uncoupling of oxidative phosphorylation.Chlorfenapyr exposure in humans and other animals can lead to various toxic effects,including neurotoxicity,cardiotoxicity,skeletal muscle toxicity,genotoxicity,reproductive and developmental toxicity,renal toxicity,splenic toxicity,and hematotoxicity.This article presents a comprehensive review of the toxicokinetics and toxicology of chlorfenapyr,integrating data from animal experiments,human cell line studies,clinical reports,and human autopsy.Its objective is to raise clinical awareness regarding chlorfenapyr poisoning and offer valuable references for its treatment and management.
3.Amide proton transfer weighted imaging in assessment of acid-base metabolism in chronic ischemic brain tissue
Hongxia LI ; Chao XIA ; Jiaxin ZENG ; Zhiqin LIU ; Xia WEI ; Yuan SUN ; Xing LI ; Ziyu LI ; Yue LI ; Anqi XIAO ; Yi LIU ; Kai AI ; Su LYU ; Na HU
Chinese Journal of Radiology 2024;58(8):807-812
Objective:To explore changes of acid-base metabolism in the brain tissue of patients with chronic ischemic cerebrovascular disease (CICVD) using MRI amide proton transfer-weighted (APTw) imaging.Methods:This was a cross-sectional study. From January 2021 to July 2022, thirty-nine patients with CICVD at West China Hospital, Sichuan University were retrospectively included. All patients received CT perfusion (CTP) and APTw imaging. NeuBrainCARE brain perfusion software was used to analyze the impaired perfusion sites and measure the mean transit time (MTT) and time to peak (TTP). Standard spatial matching between CTP and APTw images was performed to measure the APTw values of the same sites. For comparison with normal tissue, APTw values were measured for normal-appearing white matter (NAWM) in the ipsilateral cerebral hemisphere, the contralateral cerebral hemisphere, and the ipsilateral cerebellar hemisphere in areas of impaired perfusion. ANOVA was used to compare the APTw values of impaired perfusion brain tissue, ipsilateral cerebral NAWM, contralateral cerebral NAWM, and ipsilateral cerebellar NAWM. The Bonferroni method was used to correct for multiple comparisons. Pearson correlation coefficient was used to analyze the correlation between APTw values and MTT and TTP in the cerebral tissue with impaired perfusion.Results:In 39 patients with CICVD, both the mean and minimum APTw values of cerebral tissue with impaired perfusion were significantly lower than those in the NAWM of the ipsilateral cerebral hemisphere, the contralateral cerebral hemisphere, and the ipsilateral cerebellar hemisphere ( P<0.001). In the NAWM of the cerebellar hemispheres with unimpaired perfusion, both the mean and minimum APTw values were significantly higher than those in the ipsilateral cerebral hemispheres and the contralateral cerebral hemisphere ( P<0.001). Correlation analysis showed that MTT was significantly negatively correlated with both the mean APTw and the minimum APTw ( r values were -0.90 and -0.82, P<0.001). TTP was significantly negatively correlated with both the mean APTw and the minimum APTw ( r values were -0.86 and -0.78, P<0.001). Conclusion:APTw value can reflect acidosis in cerebral tissue with impaired perfusion in patients with CICVD.
4.Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data.
Cong LI ; Xiao-Yan ZHANG ; Yun-Hong WU ; Xiao-Lei YANG ; Hua-Rong YU ; Hong-Bo JIN ; Ying-Bo LI ; Zhao-Hui ZHU ; Rui LIU ; Na LIU ; Yi XIE ; Lin-Li LYU ; Xin-Hong ZHU ; Hong TANG ; Hong-Fang LI ; Hong-Li LI ; Xiang-Jun ZENG ; Zai-Xing CHEN ; Xiao-Fang FAN ; Yan WANG ; Zhi-Juan WU ; Zun-Qiu WU ; Ya-Qun GUAN ; Ming-Ming XUE ; Bin LUO ; Ai-Mei WANG ; Xin-Wang YANG ; Ying YING ; Xiu-Hong YANG ; Xin-Zhong HUANG ; Ming-Fei LANG ; Shi-Min CHEN ; Huan-Huan ZHANG ; Zhong ZHANG ; Wu HUANG ; Guo-Biao XU ; Jia-Qi LIU ; Tao SONG ; Jing XIAO ; Yun-Long XIA ; You-Fei GUAN ; Liang ZHU
Acta Physiologica Sinica 2024;76(6):937-942
As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence*
;
Humans
;
Consensus
;
Computer Security/standards*
;
Confidentiality/ethics*
;
Informed Consent/ethics*
5.Differences in related indicators after Toric intraocular lens implantation in cataract patients with different axial lengths
Na LI ; Rong LIU ; Jia-Yu WAN ; Tian-Jun HOU ; Li-Zhen JIN ; Xiao-Dan WEI ; Jian-Mei LYU
International Eye Science 2023;23(8):1372-1375
AIM: To investigate the differences in visual recovery, corneal astigmatism, and rotation stability of Toric intraocular lens(TIOL)implantation in cataract patients with different axial lengths.METHODS: Retrospective analysis. A total of 132 patients(132 eyes)with age-related cataract and corneal astigmatism who underwent phacoemulsification cataract extraction combined with TIOL implantation in our hospital's ophthalmology department from February 2021 to September 2022 were selected. They were divided into two groups based on the axial length: the group with axial length ≤24mm(79 cases, 79 eyes)and the group with axial length >24mm(53 cases, 53 eyes). Compare the best corrected distance visual acuity(BCDVA), corneal astigmatism, and TIOL rotation between the two groups of patients at 3mo after surgery.RESULT: After 3mo of surgery, both groups of patients had improved BCDVA and significantly decreased corneal astigmatism compared to those before surgery(P<0.001). However, there was no difference in BCDVA and corneal astigmatism between the two groups(P>0.05), and there was no significant difference in TIOL rotation between the two groups [(5.24±3.72)° vs.(6.36±4.21)°, P=0.110].CONCLUSION: There is no significant difference in visual recovery, corneal astigmatism, and TIOL rotational stability after TIOL implantation in cataract patients with different axial lengths.
6. The neuroprotective effect of sodium pyruvate on mouse hippocampal neural HT22 cells
Na LI ; Ke -Qin CAI ; Wen-Xin LI ; Jim LYU ; Rui-Li SHI ; Bao-Hui MA ; Jing-Hua SHI ; Xiao-Qiong HAO ; Rui-Fang QI ; Na LI ; Ke -Qin CAI ; Wen-Xin LI ; Rui-Fang QI ; Guo SHAO
Chinese Pharmacological Bulletin 2023;39(8):1522-1526
Aim To study the effect of sodium pyruvate on apoptosis and autophagy of HT22 in mouse hippocampal neuronal cells under hypoxia conditions. Methods HT22 cells were incubated with different concentrations of sodium pyruvate to detect their cellular activity by MTS; iron staining was used to further observe the effect of sodium pyruvate on HT22 cells in mitochondrial metabolism; lysosomal staining was applied to detect the lysosomal changes of sodium pyruvate on HT22 cells; Western blot was used to detect the expression of Bcl-2, Bax and LC3-II/LC3- I proteins. Results To verify whether sodium pyruvate exerted neuroprotective effects on mouse hippocampal HT22 cells through affecting mitochondrial apoptosis and autophagy pathways, which were improved by administration of sodium pyruvate. Conclusions Sodium pyruvate administration under hypoxic conditions can reduce the neuroprotective effect of hypoxic injury by reducing apoptosis and activating autophagy in HT22 cells.
7.Evaluation of the application value of seven tumor-associated autoantibodies in non-small cell lung cancer based on machine learning algorithms.
Ying HAO ; Li Na WU ; Yi Tong LYU ; Yu Zhe LIU ; Xiao Song QIN ; Rui ZHENG
Chinese Journal of Preventive Medicine 2023;57(11):1827-1838
Objective: Based on the diagnostic model established and validated by the machine learning algorithm, to investigate the value of seven tumor-associated autoantibodies (TAABs), namely anti-p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1 and CAGE antibodies in the diagnosis of non-small cell lung cancer (NSCLC) and to differentiate between NSCLC and benign lung nodules. Methods: This was a retrospective study of clinical cases. Model building queue: a total of 227 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from November 2018 to June 2021 were collected as the NSCLC group, and 120 cases of benign lung nodules, 122 cases of pneumonia and 120 healthy individuals were selected as the control groups. External validation queue: a total of 100 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from May 2022 to December 2022 were collected as the NSCLC group, and 36 cases of benign lung nodules, 32 cases of pneumonia and 44 healthy individuals were selected as the control groups. In addition, NSCLC was divided into early (stage 0-ⅠB) and mid-to-late (stage ⅡA-ⅢB) subgroups. The levels of 7-TAABs were detected by enzyme immunoassay, and serum concentrations of CEA and CYFRA21-1 were detected by electrochemiluminescence. Four machine learning algorithms, XGBoost, Lasso logistic regression, Naïve Bayes, and Support Vector Machine are used to establish classification models. And the best performance model was chosen based on evaluation metrics and a multi-indicator combination model was established. In addition, an online risk evaluation tool was generated to assist clinical applications. Results: Except for p53, the levels of rest six TAABs, CEA and CYFRA21-1 were significantly higher in the NSCLC group (P<0.05). Serum levels of anti-SOX2 [1.50 (0.60, 10.85) U/ml vs. 0.8 (0.20, 2.10) U/ml, Z=2.630, P<0.05] and MAGEA1 antibodies [0.20 (0.10, 0.43) U/ml vs. 0.10 (0.10, 0.20) U/ml, Z=2.289, P<0.05], CEA [3.13 (2.12, 5.64) ng/ml vs. 2.11 (1.25, 3.09) ng/ml, Z=3.970, P<0.05] and CYFRA21-1 [4.31(2.37, 7.14) ng/ml vs. 2.53(1.92, 3.48) ng/ml, Z=3.959, P<0.05] were significantly higher in patients with mid-to late-stage NSCLC than in early stages. XGBoost model was used to establish a multi-indicator combined detection model (after removing p53). 6-TAABs combined with CYFRA21-1 was the best combination model for the diagnosis of NSCLC and early NSCLC. The optimal diagnostic thresholds were 0.410, 0.701 and 0.744, and the AUC was 0.828, 0.757 and 0.741, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in model building queue, and the AUC was 0.760, 0.710 and 0.660, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in external validation queue. Conclusion: In the diagnosis of NSCLC, 6-TAABs is superior to that of traditional tumor markers CEA and CYFRA21-1, and can compensate for the shortcomings of traditional tumor markers. For the differential diagnosis of NSCLC and benign lung nodule, "6-TAABs+CYFRA21-1" is the most cost-effective combination, and plays an important role in prevention and screening for early lung cancer.
Humans
;
Carcinoma, Non-Small-Cell Lung/surgery*
;
Lung Neoplasms/diagnosis*
;
Retrospective Studies
;
Autoantibodies
;
Bayes Theorem
;
Tumor Suppressor Protein p53
;
Carcinoembryonic Antigen
;
Antigens, Neoplasm
;
Biomarkers, Tumor
;
Algorithms
;
Pneumonia
8.Evaluation of the application value of seven tumor-associated autoantibodies in non-small cell lung cancer based on machine learning algorithms.
Ying HAO ; Li Na WU ; Yi Tong LYU ; Yu Zhe LIU ; Xiao Song QIN ; Rui ZHENG
Chinese Journal of Preventive Medicine 2023;57(11):1827-1838
Objective: Based on the diagnostic model established and validated by the machine learning algorithm, to investigate the value of seven tumor-associated autoantibodies (TAABs), namely anti-p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1 and CAGE antibodies in the diagnosis of non-small cell lung cancer (NSCLC) and to differentiate between NSCLC and benign lung nodules. Methods: This was a retrospective study of clinical cases. Model building queue: a total of 227 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from November 2018 to June 2021 were collected as the NSCLC group, and 120 cases of benign lung nodules, 122 cases of pneumonia and 120 healthy individuals were selected as the control groups. External validation queue: a total of 100 primary patients who underwent radical lung cancer surgery in the Department of Thoracic Surgery, Shengjing Hospital of China Medical University, from May 2022 to December 2022 were collected as the NSCLC group, and 36 cases of benign lung nodules, 32 cases of pneumonia and 44 healthy individuals were selected as the control groups. In addition, NSCLC was divided into early (stage 0-ⅠB) and mid-to-late (stage ⅡA-ⅢB) subgroups. The levels of 7-TAABs were detected by enzyme immunoassay, and serum concentrations of CEA and CYFRA21-1 were detected by electrochemiluminescence. Four machine learning algorithms, XGBoost, Lasso logistic regression, Naïve Bayes, and Support Vector Machine are used to establish classification models. And the best performance model was chosen based on evaluation metrics and a multi-indicator combination model was established. In addition, an online risk evaluation tool was generated to assist clinical applications. Results: Except for p53, the levels of rest six TAABs, CEA and CYFRA21-1 were significantly higher in the NSCLC group (P<0.05). Serum levels of anti-SOX2 [1.50 (0.60, 10.85) U/ml vs. 0.8 (0.20, 2.10) U/ml, Z=2.630, P<0.05] and MAGEA1 antibodies [0.20 (0.10, 0.43) U/ml vs. 0.10 (0.10, 0.20) U/ml, Z=2.289, P<0.05], CEA [3.13 (2.12, 5.64) ng/ml vs. 2.11 (1.25, 3.09) ng/ml, Z=3.970, P<0.05] and CYFRA21-1 [4.31(2.37, 7.14) ng/ml vs. 2.53(1.92, 3.48) ng/ml, Z=3.959, P<0.05] were significantly higher in patients with mid-to late-stage NSCLC than in early stages. XGBoost model was used to establish a multi-indicator combined detection model (after removing p53). 6-TAABs combined with CYFRA21-1 was the best combination model for the diagnosis of NSCLC and early NSCLC. The optimal diagnostic thresholds were 0.410, 0.701 and 0.744, and the AUC was 0.828, 0.757 and 0.741, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in model building queue, and the AUC was 0.760, 0.710 and 0.660, respectively (NSCLC vs. control, NSCLC vs. benign lung nodules, early NSCLC vs. benign lung nodules) in external validation queue. Conclusion: In the diagnosis of NSCLC, 6-TAABs is superior to that of traditional tumor markers CEA and CYFRA21-1, and can compensate for the shortcomings of traditional tumor markers. For the differential diagnosis of NSCLC and benign lung nodule, "6-TAABs+CYFRA21-1" is the most cost-effective combination, and plays an important role in prevention and screening for early lung cancer.
Humans
;
Carcinoma, Non-Small-Cell Lung/surgery*
;
Lung Neoplasms/diagnosis*
;
Retrospective Studies
;
Autoantibodies
;
Bayes Theorem
;
Tumor Suppressor Protein p53
;
Carcinoembryonic Antigen
;
Antigens, Neoplasm
;
Biomarkers, Tumor
;
Algorithms
;
Pneumonia
9.The influence of meteorological factors on SARS-CoV-2 transmission: evidence from laboratory and epidemiological studies.
Yi Ran LYU ; Ya Fei GUO ; Kai Qiang XU ; Meng Ying ZHAI ; Na LI ; Xiao Chen WANG ; Rui Ting HAO ; Cheng DING ; Yu E ZHA ; Lan WEI ; Yue Yun LUO ; Jiao WANG
Chinese Journal of Preventive Medicine 2022;56(10):1467-1471
SARS-CoV-2 has infected more than 600 million people worldwide and caused more than 6 million deaths. The emerging novel variants have made the epidemic rebound in many places. Meteorological factors can affect the epidemic spread by changing virus activity, transmission dynamic parameters and host susceptibility. This paper systematically analyzed the currently available laboratory and epidemiological studies on the association between the meteorological factors and COVID-19 incidence, in order to provide scientific evidence for future epidemic control and prevention, as well as developing early warning system.
Humans
;
SARS-CoV-2
;
COVID-19
;
Meteorological Concepts
;
Laboratories
;
Epidemiologic Studies
10.Comparative analysis of the characteristics of choroidal neovascularization and polypoidal choroidal vasculopathy in optical coherence tomography angiography and indocyanine green angiography images
Zhe XIAO ; Chen XING ; Li-Na LYU ; Zi-Qi ZHAO ; Sheng-Juan ZHANG ; Zhi-Qiang LIU
International Eye Science 2022;22(11):1927-1931
AIM: To compare and observe the characteristics of choroidal neovascularization(CNV)and polypoidal choroidal vasculopathy(PCV)in indocyanine green angiography(ICGA)and optical coherence tomography angiography(OCTA),and to discuss their differences and pros and cons.METHOD: The imaging data of 26 CNV patients(34 eyes)and 19 PCV patients(19 eyes)diagnosed at Hebei Eye Hospital from September 2018 to April 2020 were retrospectively analyzed. There were 20 cases(28 eyes)of wet age-related macular degeneration(w-ARMD)in CNV patients and 6 cases(6 eyes)of chronic central serous chorioretinopathy(CCSC)secondary to CNV. All patients underwent OCTA, fundus fluorescein angiography(FFA)+ICGA, analyzing the characteristic changes of lesions.RESULT: OCTA examination of w-ARMD patients(28 eyes)showed that, except for 2 eyes where no obvious abnormality was seen due to severe bleeding, the morphology of CNV can be seen in the remaining 26 eyes in a clear, three-dimensional way, and even the anatomical level where CNV was located could be found. Among them, 11 eyes examined by OCTA can not only show the morphology, size and affected area of CNV, but also can better distinguish the nourishing vessels, new vessels and anastomotic branches. CNV morphology not detected by FFA+ICGA was found by OCTA in 6 eyes of patients with CCSC secondary to CNV. A clearer vision of abnormal choroidal branching vascular network(BVN)can be found clearer by OCTA than ICGA in 19 eyes of PCV patients, but OCTA cannot show the number of terminal saccular dilatations(polyps)as clearly as ICGA.CONCLUSION: The positive rate of CNV detected by OCTA is higher than that of ICGA. The lesions range of CNV and PCV detected by OCTA is clearer and more stereoscopic than that of ICGA.But it cannot show all terminal saccular dilatations in PCV patients, and it cannot be used to monitor the leakage of CNV or PCV and lesion progression. So it is less effective than FFA+ICGA in this aspect. As a non-invasive examination, OCTA can be used in the follow-up to observe the changes in lesions before and after CNV or PCV treatment.

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