The Keap1-Nrf2 pathway has been shown to be an important defense mechanism against oxidative stress, which may be an effective therapeutic strategy for many diseases. The research progresses on Keap1-Nrf2 pathway in inflammatory diseases were mainly reviewed. The basic components and activation mechanism of Keap1-Nrf2 pathway were introduced. The relationship between Keap1-Nrf2 pathway and the crosstalk between NF-κB pathway and HO-1 pathway, the expression of inflammatory mediators and enzymes, and inflammatory bodies were expounded. Natural product-derived inhibitors, small molecule inhibitors targeting Keap1-Nrf2 pathway and their clinical progress were introduced, and the potential application value of Keap1-Nrf2 pathway in the treatment of inflammation was discussed.

ObjectiveBased on ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， network pharmacology and molecular docking techniques， to explore the pharmacodynamic material basis and mechanism of Renshen Wuweizi Tang in treating spleen-lung Qi deficiency syndrome. MethodsThe chemical components in the decoction of Renshen Wuweizi Tang were systematically characterized and identified by UPLC-Q-TOF-MS/MS， and network pharmacology was used to screen potential active ingredients， collect component targets and gene sets related to spleen-lung Qi deficiency syndrome， and obtain protein interaction relationships through STRING. Cytoscape 3.9.1 was used to construct a "formula-syndrome" association network and calculate topological feature values. Gene ontology（GO） function and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis were performed on core genes to explore potential pharmacodynamic links， the average shortest path between the formula-drug target network and the pharmacodynamic link gene network was calculated to discover dominant pharmacodynamic links， and MCODE plugin was used to identify core gene clusters from the dominant pharmacodynamic links， which were validated using Gene Expression Omnibus（GEO）， and molecular docking was performed between key components and core targets. ResultsOne hundred and thirty-seven components were identified in the negative ion mode， and eighty components were identified in the positive ion mode. After deduplication， a total of 185 components were identified， mainly composed of triterpenoid saponins（49） and flavonoids（54）. Based on the "formula-syndrome" correlation network analysis， energy metabolism was determined to be the dominant pharmacodynamic link of Renshen Wuweizi Tang in the treatment of spleen-lung Qi deficiency syndrome. The results of molecular docking showed that 7 components（adenosine， atractylenolide Ⅱ， atractylenolide Ⅲ， ginsenoside Rg₁， glycyrrhizin B₂， glycyrrhizin E₂ and campesterol） from 4 medicinal materials（Ginseng Radix et Rhizoma， Atractylodis Macrocephalae Rhizoma， Glycyrrhizae Radix et Rhizoma and Poria） in this formula might regulate energy metabolism by acting on 6 targets， namely cyclic adenosine monophosphate-response element binding protein 1（CREB1）， glyceraldehyde-3-phosphate dehydrogenase（GAPDH）， interleukin（IL）-6， nuclear transcription factor（NF）-κB1， peroxisome proliferator-activated receptor α（PPARα）， and tumor necrosis factor（TNF）， thus improving the symptoms of diseases related to spleen-lung Qi deficiency syndrome. ConclusionThis study established a UPLC-Q-TOF-MS/MS for rapid characterization and identification of chemical components in the decoction of Renshen Wuweizi Tang， expanding the understanding of the material composition of this formula， and found that 7 components might act on the key advantageous pharmacodynamic link "energy metabolism" through 6 targets to improve the related symptoms of spleen-lung Qi deficiency syndrome. This can provide a reference for the subsequent exploration of the material benchmark and mechanism of the famous classical formula.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Objective To analyze the cognitive function and sleep quality of the elderly in Shanghai community, and explore the related influencing factors. Methods A stratified cluster random sampling method was used to select 8 community health centers in Shanghai for a questionnaire survey, including 3 677 elderly individuals who completed the “Comprehensive Health Status Survey of Elderly Residents in Shanghai” from September 2023 to November 2023. Basic information of the elderly was collected, including age, gender, education level, smoking, drinking, mahjong playing behavior, and exercise habits. The Pittsburgh sleep quality index (PSQI) was used to assess the sleep quality of the elderly, subjective cognitive decline (SCD) self-assessment questionnaire and Mini-Mental State Examination (MMSE) were used to evaluate cognitive function, while the Hamilton Anxiety Scale (HAMA) and patient health questionnaire-9 (PHQ-9) were used to assess anxiety and depression levels, and the mini nutritional assessment (MNA) was used to evaluate nutritional status. According to the MMSE scores, the elderly were divided into three groups: no cognitive impairment (MMSE ≥ 27), mild cognitive impairment (MMSE 21-26), and moderate to severe cognitive impairment (MMSE ≤ 20). The general data, lifestyle habits, and scale scores of the three groups were compared. Ordered logistic regression was used to analyze the influencing factors of sleep quality. Results There were statistically significant differences in age, gender, waist circumference, body mass index (BMI), education level, pet ownership, smoking, drinking, mahjong playing behavior, exercise habits, and scale scores among the three groups (P＜0.05). Logistic regression analysis showed that age, waist circumference, gender, drinking habits, mahjong playing behavior, and chronic comorbidities are influencing factors for the PSQI grading in the elderly (P＜0.05). The MMSE score (OR＝1.037, P＝0.001), SCD score (OR＝1.123, P＜0.001), HAMA score (OR＝1.183, P＜0.001), PHQ-9 score (OR＝1.249, P＜0.001) are positive influencing factors for PSQI grading, while the MNA score is a negative influencing factor (OR＝0.960, P＝0.037). Conclusions Advanced age, female gender, low education level, no pet ownership, no mahjong playing behavior, no exercise habits, and poor sleep quality are risk factors for cognitive impairment in the elderly. Advanced age, female gender, no mahjong playing behavior and poor nutritional status are influencing factors for poor sleep quality in the elderly, and severe comorbidities, anxiety, depression, and subjective decline in cognitive function all affect sleep quality.

Objective To investigate and analyze the occupational stress levels and influencing factors among radiation workers in China, and provide a reference for alleviating occupational stress and promoting mental health. Methods Using the general situation questionnaire, Effort-Reward Imbalance questionnaire, and radiation protection knowledge questionnaire, a convenience sampling method was adopted to investigate the occupational stress of 243 radiation workers in Liaoning, Fujian, Guangdong, and Xinjiang provinces. The independent samples t-test, one-way analysis of variance, chi-square test, and binary logistic regression were used to analyze the influencing factors. Results The average score of Effort-Reward Imbalance was 0.97 ± 0.22, and 100 (41.15%) radiation workers had occupational stress. There were significant differences in the detection rate of occupational stress among radiation workers of different ages, working years in radiation positions, monthly incomes, daily sleep durations, and daily working hours (P < 0.05). Logistic regression analysis identified daily working hours as a factor contributing to occupational stress. Conclusion The occupational stress among radiation workers in China is relatively severe. It is recommended to pay attention to the associated risks and implement targeted intervention measures to reduce the impact of occupational stress.

Objective To apply automated enzyme immunoassay workstation instead of manual operation to facilitate detection of Streptococcus pneumoniae(S.pneumoniae) IgG antibodies, so as to improve the detection efficiency.Methods Procedures of the assay were set up on the automated workstation according to the World Health Organization(WHO) Pneumococcal Capsular Polysaccharide Types-pecific IgG Antibody Detection Manual Pn PS ELISA. The number of working station panels was maximized to preset all reagent consumables and more samples to be tested, thereby improving the detection flux and reducing the number of manual interventions. The serum PnG was repeatedly detected to verify the test precision. The WHO S.pneumoniae international calibration serum panel 12/278 was detected to verify the accuracy of the test. To compare the consistency of workstations and manual operation, 16 same serum samples were tested by manual operation and on the workstation meanwhile. Detections of four calibration serum samples were performed on the workstation by double-(WHO standard method) and single-column methods, and the consistency of the results was compared.Results With the layout of 21 plate positions, 24 serum samples could be examined in one program run, requiring only 2 manual interventions. The CV of 32 detection results of serum PnG was lower than 15%. The assay results of 75% of the calibration serum panel in 14 out of 23 serotypes exhibited a percent error of 40% or less compared to the assigned values, and the total accuracy was 80%.The correlation coefficient(Pc) of agreement between workstation and manual test results was 0. 996 7, and the correlation coefficient of agreement between workstation single-and double-column test results was 0. 999 8, both of which showed high agreement.Conclusion The automated enzyme immunoassay workstation has shown high precision, accuracy and large detection throughput, which is labor-saving, and can be applied to the detection of S.pneumoniae antibodies. The results of single-and double-column assay provide experimental basis for single-column detection in place of double-column detection.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Objective:To explore the mediating effect of breastfeeding self-regulation on the relationship between breastfeeding self-efficacy and breastfeeding adaptation in parturient women.Methods:Totally 310 parturient women who visited the postpartum clinic at Wuxi Maternity and Child Health Care Hospital from May to September 2023 were selected by convenience sampling. The participants were surveyed using a General Information Questionnaire, the Breastfeeding Self-Regulation Questionnaire (BSRQ), the Breastfeeding Self-Efficacy Scale Short Form (BSES-SF), and the Breastfeeding Adaptation Scale (BFAS). The mediating effect of breastfeeding self-regulation between breastfeeding self-efficacy and breastfeeding adaptation was tested using the Process macro and Bootstrap method.Results:The scores for the 310 parturient women were 16.83 (13.83, 19.67) for BSRQ, (45.20±12.38) for BSES-SF, and 107.50 (96.00, 118.00) for BFAS. Spearman correlation analysis showed that breastfeeding self-efficacy was positively correlated with breastfeeding self-regulation and breastfeeding adaptation ( rs=0.314, 0.673; P<0.01), and breastfeeding self-regulation was positively correlated with breastfeeding adaptation ( rs=0.618; P<0.01). The mediating effect of breastfeeding self-regulation between breastfeeding self-efficacy and breastfeeding adaptation was 0.149, accounting for 21.88% of the total effect. Conclusions:Breastfeeding self-regulation mediates the relationship between breastfeeding self-efficacy and breastfeeding adaptation in parturient women. In early postpartum breastfeeding management, healthcare professionals should take measures to improve breastfeeding self-efficacy, help parturient women enhance their self-regulation abilities, and thereby improve their breastfeeding adaptation.

Objective To investigate the effects of galectin-3(Gal3)on skin abscess development and activation of mast cells(MC)in mice infected with methicillin-resistant Staphylococcus aureus(MRSA).Methods Wild type mice and Gal3-knockout(Gal3-/-)mice,at 6～8 weeks of age,were divided into four groups:Wild type mice+PBS group,Wild type mice+MRSA group,Gal3-/-mice+PBS group,Gal3-/-mice+MRSA group,were subcutaneously injected with MRSA or the same volume of phosphate buffer saline,with five mice per group.The development and pathological changes of skin abscess were monitored and recorded.The bacterial load in skin tissues was compared,and the expression of associated cytokines,degranulation of MC,and the distribution of MC activation marker 5-hydroxytryptamine(5-HT)were detected.Results The skin of Wild type mice showed progressive abscesses after subcutaneous infection with MRSA,but the Gal3-/-mice showed smaller abscess areas.Compared to the Wild type mice+MRSA group,the Gal3-/-mice+MRSA group showed lower bacterial loading in the skin tissues(P＜0.01)and fewer infiltrating inflammatory cells with histopathological observation.The expression of cytokines,including IL-1β,TNF-α,IL-33,TGF-β,and IL-10,were significantly lower in Gal3-/-mice than Wild type mice(P＜0.05).The toluidine blue staining showed a large number of degranulated MCs in the skin tissues of the wild type mice+MRSA group,whereas only a few degranulated MCs were observed in the Gal3-/-mice+MRSA group.It was further found that the expression of 5-HT in Gal3-/-mice+MRSA group was significantly lower than that in wild-type mice+MRSA group with immunohistochemical staining.Conclusion Gal3 deficiency reduced the activation and degranulation of mouse skin MC after MRSA infection,resulting in changes to inflammatory responses and alleviating the severity of skin tissue abscesses.