Background Coal workers' pneumoconiosis is a serious occupational disease in China. Exhaled volatile organic compounds (VOCs) can serve as the "breath fingerprint" of internal pathological processes, which provides a theoretical basis for exhaled VOCs to be used as potential non-invasive biomarkers for early diagnosis of coal workers' pneumoconiosis. Objective To screen out the characteristic VOCs and important characteristic VOCs of exhaled air in patients with coal workers' pneumoconiosis, and to explore the potential of these VOCs as biomarkers for early non-invasive diagnosis of the disease. Methods In this study, 27 VOCs in the exhaled breath of 22 patients with stage I coal workers' pneumoconiosis, 77 workers exposed to dust, and 92 healthy controls were quantitatively detected by thermal desorption gas chromatography-mass spectrometry (TD-GC-MS). Substances with P<0.05 in univariate analysis and variable importance projection (VIP) >1 in supervised orthogonal partial least squares discriminant analysis (OPLS-DA) model were selected as the characteristic VOCs for early diagnosis of coal workers' pneumoconiosis. Age was included in the LASSO regression model as a covariate to screen out important characteristic VOCs, and the diagnostic performance was evaluated by receiver operating characteristic (ROC) curve. Spearman correlation was further used to explore the correlation between important characteristic VOCs and clinical lung function indicators. Results Through univariate analysis and OPLS-DA modeling, 8 VOCs were selected, including 2-methylpentane, 3-methylpentane, n-hexane, methylcyclopentane, n-heptane, methylcyclohexane, 4-methyl-2-pentanone, and 2-hexanone, in exhaled breath of patients with coal workers' pneumoconiosis. The concentrations of 4 VOCs, including 3-methylpentane, n-hexane, 4-methyl-2-pentanone, and 2-hexanone, showed a decreasing trend with the increase of dust exposure years. By LASSO regression, the important characteristic VOCs of the coal workers' pneumoconiosis group and the dust exposure group were n-hexane, methylcyclohexane and 4-methyl-2-pentanone, and the important characteristic VOCs of the coal workers' pneumoconiosis group and the healthy group were 2-methyl-pentane and 4-methyl-2-pentanone. The ROC analysis showed that the area under the curve (AUC) of n-hexane, methylcyclohexane, and 4-methyl-2-pentanone were 0.969, 0.909, and 0.956, respectively, and the AUC of combined diagnosis was 0.988 and its Youden index was 0.961, suggesting that these results can serve as a valuable reference for further research on early diagnosis. The Correlation analysis found that there was a positive correlation between n-hexane and lung function indicators in the important characteristic VOCs, indicating that it could indirectly reflect the obstruction of lung function ventilation, further proving that important characteristic VOCs have the potential to monitor lung function decline. Conclusion Three important characteristic VOCs selected in this study have the potential to be used as non-invasive biomarkers for early diagnosis and disease monitoring of coal workers' pneumoconiosis, and are worthy of further study and verification.

[Objective] To investigate the infection status and characteristics of HEV among voluntary blood donors in Ningbo, and to provide a basis for improving the blood screening strategy. [Methods] A total of 12 227 blood samples from voluntary blood donors in Ningbo from June 2022 to May 2023 were tested for HEV serology, enzymology, and nucleic acid testing. Furthermore, HEV gene sequencing was performed for genotyping analysis, and donors with reactive nucleic acid testing results were followed up to confirm their infection status. [Results] The reactivity rate of HEV Ag, anti-HEV IgM and anti-HEV IgG was 0.098%, 0.899% and 29.198%, respectively. There was no difference in the reactivity of anti-HEV IgM and anti-HEV IgG between genders, donation frequencies and donation types (P>0.05). The reactivity rate increased significantly with age (P<0.05). The rate of ALT disqualification (ALT>50U/L) was significantly higher than that in non-reactive samples (P<0.05). The HEV Ag reactivity rate (0.098%) was not correlated with gender, donation frequency, donation type or age. One HEV RNA positive case was found, with a positive rate of 0.008%(1/12 227). It was confirmed to be hepatitis E virus genotype 3 by sequencing analysis. Apart from HEV Ag reactivity, all other blood safety screening items were non-reactive, suggesting this case might be in the acute infection phase. The follow-up results showed that all indicators of the donor's previous blood donation were non-reactive. [Conclusion] Pre-donation ALT detection can reduce the risk of transfusion-transmitted HEV (TT-HEV) to a certain extent, and the effective way to prevent TT-HEV is to detect HEV RNA and serology of donor blood.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To investigate the role of YTHDF2 in cervical lesions and its potential molecular mechanism.Methods:Gene expression data of cervical tissue were obtained from the GEO database to analyze the expression of YTHDF2 mRNA and perform pathway enrichment analysis. Patients with cervical lesions diagnosed by thinprep cytologic test in Gynecological Outpatient Department of Maternal and Child Health Hospital in Jiexiu, Shanxi Province, were selected as the research subjects. Data of cervical lesions and cervical exfoliated cells were collected. HPV infection status was detected by flow-through hybridization, and the expression of YTHDF2 mRNA was detected by reverse transcription real-time polymerase chain reaction. The expression of YTHDF2 in cervical lesions and the mediating role of HPV infection in the relationship between YTHDF2 and squamous intraepithelial lesion (SIL) were evaluated. YTHDF2-related genes were screened from multiple datasets in the GEO and ENCORI databases, and their expression, immune infiltration, and survival analysis were performed to assess the association between YTHDF2 and prognosis. Results:Compared with normal cervical tissue, YTHDF2 was highly expressed in cervical lesion tissue ( P<0.05). A total of 3 672 differentially expressed genes were screened from the dataset GSE49339. Gene Ontology analysis showed that YTHDF2 was mainly involved in transcription regulation. Kyoto Encyclopedia of Genes and Genomes analysis showed that YTHDF2 might be related to HPV infection and other signaling pathways. In the mediation analysis, χ2 test results showed that the expression level of YTHDF2 was significantly different among groups ( χ2=22.47, P<0.001). Trend χ2 test further showed that the expression level of YTHDF2 was upregulated with the degree of cervical precancerous lesions (trend χ2=10.26, P=0.001). Multivariate logistic regression analysis indicated that high YTHDF2 expression increased the risk of low-grade squamous intraepithelial lesions ( OR=3.15, 95% CI: 1.93-5.15) and high-grade squamous intraepithelial lesions ( OR=1.85, 95% CI: 1.01-3.39). Mediation effect analysis revealed a partial mediating effect of HPV infection between YTHDF2 and SIL, accounting for 32.02% of the total effect. Twelve YTHDF2 related genes were screened by the intersection of multiple datasets. The immune infiltration analysis results showed that YTHDF2 and related genes KLF4, E2F3 and HOXC6 were associated with immune infiltration (all P<0.05). Multivariate Cox proportional hazard regression model analysis showed that low expression of KLF4 ( HR=0.53, 95% CI: 0.30-0.94) and high expression of RHOB ( HR=1.80, 95% CI: 1.04-3.13) were risk factors for the prognosis of cervical cancer. Conclusion:YTHDF2 is highly expressed in cervical lesions and may have been involved in the regulation of HPV infection-related pathways and its downstream related genes are related to immune infiltration and prognosis of cervical cancer, providing a theoretical basis for the study of mechanisms related to cervical lesions.

AIM To investigate the effects of volatile oil from Acorus tatarinowii Schott(A.tatarinowii)on neuroinflammation in a rat model of tic disorders.METHODS The SD rats were randomly divided into the blank group(8 rats)and the model group(40 rats).The rat models of tic disorders established successfully by intraperitoneal injection of iminodiapropionitrile(IDPN)were further divided into the model group,the tiapride group and the high-dose,moderate-dose and low-dose A.tatarinowii volatile oil groups,with 8 rats in each group.The 4-week intragastric treatment of respective drug was initiated the next day after the completion of modeling,and normal saline was dosed upon the blank group and the model group,during which the rats' behavioral changes were assessed by stereotyped behavior and motor behavior score every week.After the administration,the rats had their morphological changes of striatal neurons observed by Nissl staining;their levels of TGF-β,IL-10,TNF-αand IL-1β in serum and striatum detected by ELISA;their striatal protein expressions of CX3CL1 and CX3CR1 detected by Western blot and immunohistochemistry;and their striatal expressions of M1,M2 microglia marker proteins CD86,CD206,SYN and PSD-95 detected by immunofluorescence co-staining.RESULTS Compared with the model group,the A.tatarinowii volatile oil groups demonstrated improved twitch-like behavior;decreased scores of motor behavior and rigid behavior(P＜0.01);alleviated damage of Nissl bodies in neurons;increased serum and striatum levels of TGF-β and IL-10(P＜0.05,P＜0.01);decreased levels of TNF-α and IL-1β(P＜0.01);decreased striatal protein expressions of CX3CL1 and CX3CR1(P＜0.01);increased protein expressions of PSD95 and SYN(P＜0.05,P＜0.01);and decreased CD86/Iba1(P＜0.01)and increased CD206/Iba1(P＜0.01)in terms of the fluorescence intensity.CONCLUSION A.tatarinowii volatile oil contributes an anti-tic effect and improves the neuroinflammation in the brain of the rat model of tic disorders by promoting the transformation of microglia into M2 type via CX3CL1/CX3CR1 signal axis.

Objective:To investigate the role of YTHDF2 in cervical lesions and its potential molecular mechanism.Methods:Gene expression data of cervical tissue were obtained from the GEO database to analyze the expression of YTHDF2 mRNA and perform pathway enrichment analysis. Patients with cervical lesions diagnosed by thinprep cytologic test in Gynecological Outpatient Department of Maternal and Child Health Hospital in Jiexiu, Shanxi Province, were selected as the research subjects. Data of cervical lesions and cervical exfoliated cells were collected. HPV infection status was detected by flow-through hybridization, and the expression of YTHDF2 mRNA was detected by reverse transcription real-time polymerase chain reaction. The expression of YTHDF2 in cervical lesions and the mediating role of HPV infection in the relationship between YTHDF2 and squamous intraepithelial lesion (SIL) were evaluated. YTHDF2-related genes were screened from multiple datasets in the GEO and ENCORI databases, and their expression, immune infiltration, and survival analysis were performed to assess the association between YTHDF2 and prognosis. Results:Compared with normal cervical tissue, YTHDF2 was highly expressed in cervical lesion tissue ( P<0.05). A total of 3 672 differentially expressed genes were screened from the dataset GSE49339. Gene Ontology analysis showed that YTHDF2 was mainly involved in transcription regulation. Kyoto Encyclopedia of Genes and Genomes analysis showed that YTHDF2 might be related to HPV infection and other signaling pathways. In the mediation analysis, χ2 test results showed that the expression level of YTHDF2 was significantly different among groups ( χ2=22.47, P<0.001). Trend χ2 test further showed that the expression level of YTHDF2 was upregulated with the degree of cervical precancerous lesions (trend χ2=10.26, P=0.001). Multivariate logistic regression analysis indicated that high YTHDF2 expression increased the risk of low-grade squamous intraepithelial lesions ( OR=3.15, 95% CI: 1.93-5.15) and high-grade squamous intraepithelial lesions ( OR=1.85, 95% CI: 1.01-3.39). Mediation effect analysis revealed a partial mediating effect of HPV infection between YTHDF2 and SIL, accounting for 32.02% of the total effect. Twelve YTHDF2 related genes were screened by the intersection of multiple datasets. The immune infiltration analysis results showed that YTHDF2 and related genes KLF4, E2F3 and HOXC6 were associated with immune infiltration (all P<0.05). Multivariate Cox proportional hazard regression model analysis showed that low expression of KLF4 ( HR=0.53, 95% CI: 0.30-0.94) and high expression of RHOB ( HR=1.80, 95% CI: 1.04-3.13) were risk factors for the prognosis of cervical cancer. Conclusion:YTHDF2 is highly expressed in cervical lesions and may have been involved in the regulation of HPV infection-related pathways and its downstream related genes are related to immune infiltration and prognosis of cervical cancer, providing a theoretical basis for the study of mechanisms related to cervical lesions.

AIM To investigate the effects of volatile oil from Acorus tatarinowii Schott(A.tatarinowii)on neuroinflammation in a rat model of tic disorders.METHODS The SD rats were randomly divided into the blank group(8 rats)and the model group(40 rats).The rat models of tic disorders established successfully by intraperitoneal injection of iminodiapropionitrile(IDPN)were further divided into the model group,the tiapride group and the high-dose,moderate-dose and low-dose A.tatarinowii volatile oil groups,with 8 rats in each group.The 4-week intragastric treatment of respective drug was initiated the next day after the completion of modeling,and normal saline was dosed upon the blank group and the model group,during which the rats' behavioral changes were assessed by stereotyped behavior and motor behavior score every week.After the administration,the rats had their morphological changes of striatal neurons observed by Nissl staining;their levels of TGF-β,IL-10,TNF-αand IL-1β in serum and striatum detected by ELISA;their striatal protein expressions of CX3CL1 and CX3CR1 detected by Western blot and immunohistochemistry;and their striatal expressions of M1,M2 microglia marker proteins CD86,CD206,SYN and PSD-95 detected by immunofluorescence co-staining.RESULTS Compared with the model group,the A.tatarinowii volatile oil groups demonstrated improved twitch-like behavior;decreased scores of motor behavior and rigid behavior(P＜0.01);alleviated damage of Nissl bodies in neurons;increased serum and striatum levels of TGF-β and IL-10(P＜0.05,P＜0.01);decreased levels of TNF-α and IL-1β(P＜0.01);decreased striatal protein expressions of CX3CL1 and CX3CR1(P＜0.01);increased protein expressions of PSD95 and SYN(P＜0.05,P＜0.01);and decreased CD86/Iba1(P＜0.01)and increased CD206/Iba1(P＜0.01)in terms of the fluorescence intensity.CONCLUSION A.tatarinowii volatile oil contributes an anti-tic effect and improves the neuroinflammation in the brain of the rat model of tic disorders by promoting the transformation of microglia into M2 type via CX3CL1/CX3CR1 signal axis.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Background::Histological healing is closely associated with improved long-term clinical outcomes and lowered relapses in patients with ulcerative colitis (UC). Here, we developed a novel diagnostic criterion for assessing histological healing in UC patients.Methods::We conducted a retrospective cohort study in UC patients, whose treatment was iteratively optimized to achieve mucosal healing at Shanghai Tenth People’s Hospital of Tongji University from January 2017 to May 2022. We identified an inflammatory cell enumeration index (ICEI) for assessing histological healing based on the proportions of eosinophils, CD177 + neutrophils, and CD40L + T cells in the colonic lamina propria under high power field (HPF), and the outcomes (risks of symptomatic relapses) of achieving histological remission vs. persistent histological inflammation using Kaplan-Meier curves. Intrareader reliability and inter-reader reliability were evaluated by each reader. The relationships to the changes in the Nancy index and the Geboes score were also assessed for responsiveness. The ICEI was further validated in a new cohort of UC patients from other nine university hospitals. Results::We developed an ICEI for clinical diagnosis of histological healing, i.e., Y = 1.701X 1 + 0.758X 2 + 1.347X 3 - 7.745 (X 1, X 2, and X 3 represent the proportions of CD177 + neutrophils, eosinophils, and CD40L + T cells, respectively, in the colonic lamina propria under HPF). The receiver operating characteristics curve (ROC) analysis revealed that Y <-0.391 was the cutoff value for the diagnosis of histological healing and that an area under the curve (AUC) was 0.942 (95% confidence interval [CI]: 0.905-0.979) with a sensitivity of 92.5% and a specificity of 83.6% ( P <0.001). The intraclass correlation coefficient (ICC) for the intrareader reliability was 0.855 (95% CI: 0.781-0.909), and ICEI had good inter-reader reliability of 0.832 (95% CI: 0.748-0.894). During an 18-month follow-up, patients with histological healing had a substantially better outcome compared with those with unachieved histological healing ( P <0.001) using ICEI. During a 12-month follow-up from other nine hospitals, patients with histological healing also had a lower risk of relapse than patients with unachieved histological healing. Conclusions::ICEI can be used to predict histological healing and identify patients with a risk of relapse 12 months and 18 months after clinical therapy. Therefore, ICEI provides a promising, simplified approach to monitor histological healing and to predict the prognosis of UC.Registration::Chinese Clinical Trial Registry, No. ChiCTR2300077792.

Most chemical medicines have polymorphs. The difference of medicine polymorphs in physicochemical properties directly affects the stability, efficacy, and safety of solid medicine products. Polymorphs is incomparably important to pharmaceutical chemistry, manufacturing, and control. Meantime polymorphs is a key factor for the quality of high-end drug and formulations. Polymorph prediction technology can effectively guide screening of trial experiments, and reduce the risk of missing stable crystal form in the traditional experiment. Polymorph prediction technology was firstly based on theoretical calculations such as quantum mechanics and computational chemistry, and then was developed by the key technology of machine learning using the artificial intelligence. Nowadays, the popular trend is to combine the advantages of theoretical calculation and machine learning to jointly predict crystal structure. Recently, predicting medicine polymorphs has still been a challenging problem. It is expected to learn from and integrate existing technologies to predict medicine polymorphs more accurately and efficiently.