Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R² of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Pregnancy ; Child ; Humans ; Female ; Glycated Hemoglobin ; Cohort Studies ; Diabetes Mellitus/diagnosis* ; Sensitivity and Specificity ; ROC Curve

The aim of this study is to investigate the effects of Gynostemma pentaphyllum dried with two different methods(air drying and heating) on inflammation in acute lung injury(ALI) mice in vivo and in vitro. Lipopolysaccharide(LPS) was sprayed into the airway of wild type C57BL/6J male mice to establish the model, and the drug was injected into the tail vein 24 h after modeling. Lung function, lung tissue wet/dry weight(W/D) ratio, the total protein concentration, interleukin 6(IL-6), IL-1β, and tumor necrosis factor-α(TNF-α) in the bronchoalveolar lavage fluid(BALF), and pathological changes of the lung tissue were used to evaluate the effects of different gypenosides on ALI mice. The results showed that total gypenosides(YGGPs) and the gypenosides substituted with one or two glycosyl(GPs_(1-2)) in the air-dried sample improved the lung function, significantly lowered the levels of IL-1β and TNF-α in BALF, and alleviated the lung inflammation of ALI mice. Moreover, GPs_(1-2) had a more significant effect on inhibiting NO release in RAW264.7 cells. This study showed that different drying methods affected the anti-inflammatory activity of G. pentaphyllum, and the rare saponins in the air-dried sample without heating had better anti-inflammatory activity.
Male ; Mice ; Animals ; Tumor Necrosis Factor-alpha/metabolism* ; Gynostemma ; Mice, Inbred C57BL ; Lung ; Anti-Inflammatory Agents/metabolism* ; Interleukin-6/metabolism* ; Interleukin-1beta/metabolism* ; Lipopolysaccharides/pharmacology*

The ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS~E) technology was employed to compare the chemical components between the aerial and underground parts of Coptis chinensis samples from different batches. According to the retention time, molecular ion peak, and LC-MS~E fragment information of the reference substances and available literature, we identified a total of 40 components. Thirty-three and 31 compounds were respectively identified in the underground part(taproots) and the aerial part(stems and leaves) of C. chinensis. Among them, 24 compounds, including alkaloids(e.g., berberine and jatrorrhizine) and phenolic acids(e.g., chlorogenic acid, quinic acid, and tanshinol), were common in the two parts. In addition, differential components were also identified, such as magnoline glucoside in the underground part and(±) lariciresionol-4-β-D-glucopyranoside in the aerial part. The analysis of fragmentation pathways based on spectra of reference substances indicated the differences among samples of different batches. Furthermore, we performed the principal component analysis(PCA) for the peak areas of C. chinensis in different batches. The results showed that the underground part and the aerial part were clearly clustered into two groups, indicating that the chemical components contained in the two parts were different. Furthermore, the results of partial least squares discriminant analysis(PLS-DA) identified 31 differential compounds(VIP value>1) between the underground part and the aerial part, mainly including alkaloids, phenolic acids, lignans, and flavonoids. This study proves that C. chinensis possesses great development potential with multiple available compounds in stems and leaves. Moreover, it sheds light on for the development and utilization of non-medicinal organs of C. chinensis and other Chinese medicinal herbs.
Chromatography, High Pressure Liquid/methods* ; Coptis chinensis ; Spectrometry, Mass, Electrospray Ionization/methods* ; Tandem Mass Spectrometry/methods* ; Technology

Objective: To compare and correlate the findings of intravoxel incoherent motion (IVIM) magnetic resonance (MR) imaging and arterial spin labeling (ASL) imaging in characterizing parotid gland tumors. Materials and Methods: We retrospectively reviewed 56 patients with parotid gland tumors evaluated by MR imaging. The true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and fraction of perfusion (f) values of IVIM imaging and tumor-to-parotid gland signal intensity ratio (SIR) on ASL imaging were calculated. Spearman rank correlation coefficient, chi-squared, Mann-Whitney U, and Kruskal-Wallis tests with the post-hoc Dunn-Bonferroni method and receiver operating characteristic curve assessments were used for statistical analysis. Results: Malignant parotid gland tumors showed significantly lower D than benign tumors (p = 0.019). Within subgroup analyses, pleomorphic adenomas (PAs) showed significantly higher D than malignant tumors (MTs) and Warthin’s tumors (WTs) (p < 0.001). The D* of WTs was significantly higher than that of PAs (p = 0.031). The f and SIR on ASL imaging of WTs were significantly higher than those of MTs and PAs (p < 0.05). Significantly positive correlation was found between SIR on ASL imaging and f (r = 0.446, p = 0.001). In comparison with f, SIR on ASL imaging showed a higher area under curve (0.853 vs. 0.891) in discriminating MTs from WTs, although the difference was not significant (p = 0.720). Conclusion IVIM and ASL imaging could help differentiate parotid gland tumors. SIR on ASL imaging showed a significantly positive correlation with f. ASL imaging might hold potential to improve the ability to discriminate MTs from WTs.

Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are rare but severe diseases. This study aimed to validate the predictive ability of risk models in patients with SJS/TEN and propose possible refinement in China. Patients in the Department of Dermatology of Huashan Hospital from January 2008 to January 2019 were included. Results showed that the severity-of-illness score for TEN (SCORTEN) had a good discrimination (area under the receiver operating characteristic curve (AUC), 0.78), and it was superior to auxiliary score (AS) and ABCD-10, which indicates age, bicarbonate level, cancer, dialysis, and 10% involved body surface area (AUC, 0.69 and 0.68, respectively). The calibration of SCORTEN (Hosmer-Lemeshow goodness-of-fit test, P = 0.69) was also better than that of AS (P = 0.25) and ABCD-10 (P = 0.55). SCORTEN and ABCD-10 were similar (Brier score (BS), 0.04 and 0.04) in terms of accuracy of predictions. In addition, the imaging appearance of pulmonary consolidation on computed tomography was associated with high mortality. Refined models were formed using the variables and this imaging appearance. The refined AS and ABCD-10 models were similar in discrimination compared with the original SCORTEN (0.74 vs. 0.78, P = 0.23; 0.74 vs. 0.78, P = 0.30, respectively). Therefore, SCORTEN showed good discrimination performance, calibration, and accuracy, and refined AS or ABCD-10 model may be an option when SCORTEN variables are not available.
Cohort Studies ; Humans ; Retrospective Studies ; Severity of Illness Index ; Stevens-Johnson Syndrome/diagnostic imaging* ; Tomography

Objective:To investigate the effects of Daizongfang （DZF） on insulin resistance （IR） of adipocytes induced by different methods. Method:The cocktail induction method was adopted to induce the differentiation and maturity of 3T3-L1 preadipocytes. An IR model in mature adipocytes was established by the induction of palmitic acid （PA）， high-concentration glucose （HG）， and dexamethasone （DEX）. DZF extracts at different concentrations （2.0， 0.5， 0.1 g·L^-1） intervened for 24 hours. A model group， a rosiglitazone （RSG） group， and a blank control group were set up at the same time. The glucose concentration in the culture supernatant was measured by the glucose oxidase-peroxidase （GOD-POD） method. Glucose consumptions under basic conditions （G_Basic） and insulin stimulation （G_Ins） were calculated to evaluate the insulin sensitivity index （ISI）. The mRNA expression of glucose transporter 4 （GLUT4） was detected by the real-time polymerase chain reaction （PCR）. Result:Compared with the model group， the DZF （2.0 g·L^-1） showed increased G_Basic， G_Ins， and ISI in three IR models （P<0.05， P<0.01）. In addition， for the PA-induced IR model， G_Basic and G_Ins in the DZF （0.5 g·L^-1） group were elevated （P<0.01）， and G_Basic， G_Ins， and ISI in the RSG group increased （P<0.05， P<0.01）. For the HG-induced IR model， G_Ins and ISI increased in the DZF （0.5 g·L^-1） group （P<0.05）， and G_Basic， G_Ins， and ISI were elevated in the RSG group （P<0.01）. For the DEX-induced IR model， G_Ins and ISI increased in the RSG group （P<0.01）. In the three models， there were differences among groups with different doses. G_Basic， G_Ins， and ISI in the high-dose DZF group increased in varying degrees compared with those in the medium- and low-dose DZF groups （P<0.05）. In the three models， the DZF （2.0 g·L^-1） group and the RSG group both increased GLUT4 mRNA expression （P<0.05）. Conclusion:DZF can reduce IR of adipocytes induced by HG， DEX， or PA in a dose-dependent manner and increase glucose uptake in an insulin-independent manner， which may be related to the increase in GLUT4 expression.

Objective To investigate the potential therapeutic targets and pharmacological mechanism of (-)-epigal?locatechin-3-gallate (EGCG) based on network pharmacology and experimental verification. METHODS The druggability of EGCG was measured by the traditional Chinese medicine systems pharmacology (TCMSP) server, and potential tar?gets of EGCG were identified by Pharm Mapper and Drug Repositioning and Adverse drug Reaction via Chemical-Pro?tein Interactome (DRAR-CPI). The potential targets were imported into GeneMANIA database to obtain the protein-pro?tein direct interaction network, and target physical interaction, co-expression, prediction, genetic interaction, and shared protein domains. The biological process, molecular functions, cellular components and KEGG signaling pathways of potential targets were analyzed using DAVID database. For further study, ethanol was used to establish a model of endothelial injury in vitro. The cell viability was assayed by MTT method, the cellular apoptosis was stained by Annexin V/PI, and the expression levels of Bcl-2, Bax and cleved-caspase-3 were tested by Western blotting. Then, JC-1 and nuclear translocation of NF-κB experiments were used to study the mitochondrial membrane potential and nuclear trans?location. RESULTS The oral availability of EGCG was 55.09％ (≥ 30％) and drug-like index was 0.77 (≥ 0.18), which were considered pharmacokinetically active. 17 potential targetable proteins of EGCG were predicted by Pharm Mapper and DRAR-CPI. Further research showed that 68.13％ displayed similar co-expression characteristics, 26.11％ physical interactions, and 2.74％ shared the same protein domain. The depth network analysis results showed that the biofunc?tions of EGCG were mainly by regulating glutathione derivative biosynthetic process, glutathione metabolic process, nitrogen compound metabolic process etc.. via drug binding, catalytic activity, glutathione transferase activity, anion bind?ing etc.. in sarcoplasmic reticulum, spindle pole, microtubule cytoskeleton and cytoplasm. KEGG enrichment analysis showed that Glutathione metabolism, IL-17 signaling pathway, EGFR tyrosine kinase inhibitor resistance, PI3K-Akt sig?naling pathway and other pathways were involves in the biofunction of EGCG. The above analyses indicated that EGCG exerts its biofunction through antioxidant and anti-inflammatory mechanisms. The experimental results showed that etha?nol 20.0 mmol·L-1 decreased cell viability, Bcl-2 expression, and increased cell apoptosis, the intracellular ROS, as well as the expression of Bax and cleaved-caspase-3 of human endothelial cells. However, treatment of the cells with EGCG can significantly alleviate ethanol induced endothelial cells injury. Further study showed that EGCG significantly allevi?ates ethanol induced mitochondrial depolarization and nuclear translocation of NF-κB. CONCLUSIONS EGCG exerts pharmacological efficacies on ethanol induced endothelial cell injury through multi-target, multi-function and multi-path?way mode. Protective effect of EGCG on ethanol induced cell injury was mainly through alteration of mitochondrial func?tion and NF-κB translocation. Therefore, EGCG have great potential in protecting against endothelial dysfunction of the persons who are chronically abuse of ethanol. This study also provides a new understanding of EGCG in clinical applica?tion on cardiovascular and cerebrovascular diseases.

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

Objective:To investigate the application value of the ultrasonic elastic tissue dispersion quantitative analysis technique in differentiating thyroid nodules.Methods:A total of 164 nodules in 143 patients with thyroid nodules were examined by elastography ultrasound at Sir Run Run Shaw Hospital of Zhejiang University School of Medicine from January to November 2014. Eleven parameters were obtained by the tissue dispersion quantitative analysis software. These parameters were compared between benign and malignant groups by Mann-Whitney U test. The correlations between all the parameters and the pathologic results of thyroid nodules were analyzed by Spearman analysis. The receiver operating characteristic(ROC) curve of the parameter with the highest correlation coefficient was constructed. The cut-off value was calculated. Results:All parameters except correlation (CORR) had statistically significant differences between the groups of benign and malignant thyroid nodules(all P<0.01). Moreover, except CORR, the other parameters were correlated with the pathologic results of thyroid nodules(all P<0.05), with the highest coefficient in area ration of low-strain region (%AREA)( r s=0.818). ROC curves were constructed to estimate the clinic values of %AREA in diagnosis of thyroid cancer, the area under ROC curve was 0.991 for %AREA, the cut-off point was 74.83%, the sensitivity and specifity was 98.1% and 89.8%, respectively. Conclusions:The tissue dispersion quantitative analysis technique has high value in the differential diagnosis of benign and malignant thyroid nodules.

Objective:To establish autoverification rules for coagulation tests in multicenter cooperative units, in order to reduce workload for manual review of suspected results and shorten turnaround time (TAT) of test reports, while ensure the accuracy of results.Methods:A total of 14 394 blood samples were collected from fourteen hospitals during December 2019 to March 2020. These samples included: Rules Establishment Group 11 230 cases, including 1 182 cases for Delta check rules; Rules Validation Group 3 164 cases, including 487cases for Delta check; Clinical Application Trial Group 77 269 cases. Samples were analyzed for coagulation tests using Sysmex CS series automatic coagulation analyzers, and the clinical information, instrument parameters, test results, clinical diagnosis, medication history of anticoagulant and other relative results such as HCT, TG, TBIL, DBIL were summarized; on the basis of historical data, the 2.5 and 97.5 percentile of all data arranged from low to high were initially accumulated; on the basis of clinical suggestions, critical values and specific drug use as well as relative guidelines, autoverification rules and limits were established.The rules were then input into middleware, in which Stage I/Stage II validation was done. Positive coincidence, negative coincidence, false negative, false positive, autoverification pass rate, passing accuracy (coincidence of autoverification and manual verification) were calculated. Autoverification rules underwent trial application in coagulation results reports.Results:(1) The autoverification algorisms involve 33 rules regarding PT/INR, APTT, FBG, D-dimer, FDP,Delta check, reaction curve and sample abnormalities; (2)Autoverification Establishment Group showed autoverification pass rate was 68.42% (7 684/11 230), the false negative rate was 0%(0/11230), coincidence of autoverification and manual verification was 98.51%(11 063/11 230), in which positive coincidence and negative coincidence were respectively 30.09% (3 379/11 230) and 68.42%(7 684/11 230); Autoverification Validation Group showed autoverification pass rate was 60.37%(1 910/3 164), the false negative rate was 0%(0/11 230), coincidence of autoverification and manual verification was 97.79%(3 094/3 164), in which positive coincidence and negative coincidence were respectively 37.42%(1 184/3 164) and 60.37%(1 910/3 164); (3) Trialed implementation of these autoverification rules on 77 269 coagulation samples showed that the average TAT shortened by 8.5 min-83.1 min.Conclusions:This study established 33 autoverification rules in coagulation tests. Validation showedthese rules could ensure test quality while shortening TAT and lighten manual workload.