Chronic liver diseases are a group of diseases in which the liver is subjected to a variety of injuries over a long period of time， resulting in irreversible pathological changes that last longer than 6 months. Emodin （EMO） is a natural anthraquinone derivative derived from Rheum officinale， and its pharmacological effect has been extensively studied， exhibiting a variety of biological properties and involving multiple signaling molecules and pathways. Western medicine or surgical treatment is currently the main treatment regimen for chronic liver diseases， and the advance in treatment is limited by various reasons such as side effects and high costs. Due to its natural origin and efficacy， EMO has unique advantages in the treatment of chronic liver diseases and has now become a research hotspot. This article summarizes the therapeutic effect of EMO on chronic liver diseases and its mechanism， in order to provide a certain scientific basis for the traditional Chinese medicine treatment of chronic liver diseases and the development of drugs in clinical practice.

Congenital blood group chimerism refers to the coexistence of two or more distinct blood types within an individual, resulting from the presence of hematopoietic cell populations with different genotypes. Consequently, red blood cells in such individuals may express different blood group antigens. Based on the timing and mechanism of formation, blood group chimerism can be classified as either congenital or acquired. Although congenital blood group chimerism is rare and involves complex mechanisms, it holds significant implications in transfusion medicine, transplantation, and obstetrics. This article reviews the formation mechanisms, detection methods, and clinical significance of congenital blood group chimerism in transfusion medicine. Particular emphasis is placed on the principles, advantages, and limitations of various detection techniques. Furthermore, the potential applications of these technologies in clinical diagnosis are discussed, providing a technical foundation for the development of precise transfusion strategies.

Objective To explore the value of clinical-MRI radiomics combined model for differentiating borderline ovarian tumor(BOT)from epithelial ovarian cancer(EOC).Methods Totally 139 patients with BOT(BOT group)and 307 patients with EOC(EOC group)confirmed by postoperative pathology and underwent preoperative pelvic MRI were retrospectively enrolled and randomly divided into training set(n=312)and test set(n=134)at a ratio of 7∶3.Multivariable logistic regression was used to identify independent clinical predictors for differentiating BOT and EOC,then a clinical model was constructed.Radiomics features were extracted from the volumes of interest(VOI)of lesions on T2WI,diffusion weighted imaging(DWI)and apparent diffusion coefficient(ADC)images,respectively,and single-sequence and multi-sequence MRI radiomics models were built using extreme gradient boosting(XGBoost)based on data in training set.The optimal MRI radiomics model was selected according to the highest area under the curve(AUC)in test set,and a clinical-MRI radiomics combined model was constructed combined the optimal radiomics model with independent clinical predictors.The performances of clinical model,the optimal MRI radiomics model and the combined model for differentiating BOT and EOC were compared in test set.SHapley Additive exPlanations(SHAP)analysis was applied to interpret key predictive features in the best model.Results Patients' age,carbohydrate antigen 153(CA153)and carbohydrate antigen 125(CA125)were all independent predictors for differentiating BOT and EOC(all P＜0.05).Multi-sequence MRI radiomics model was the optimal MRI radiomics model.The combined model showed superior performance(AUC=0.929)for discriminating BOT and EOC compared with clinical model(AUC=0.881)and multi-sequence MRI radiomics model(AUC=0.871)(both P＜0.05).SHAP beeswarm plot revealed that the top 10 important features of combined model included age,CA153 and CA125,as well as entropy,kurtosis and gray level non-uniformity from ADC and DWI sequences.Conclusion Clinical-MRI radiomics combined model based on multi-sequence MRI radiomics features and clinical features could be used to effectively differentiate BOT from EOC.

Objective:To investigate the relationship between oxygen consumption (VO 2), carbon dioxide production (VCO 2), and Oxygen Consumption/lactate (VO 2/Lac) with risk of death in patients with severe ARDS. Methods:A retrospective cohort study method was used, and the study subjects were hospitalized for >5 days adult patients with severe ARDS in the central intensive care unit of Henan Provincial People's Hospital from 1 March 2020 to 30 June 2023. The following patients were excluded: IC test was not completed on the 4th day of ICU admission, IC test results were unreliable, mechanical ventilation duration had exceeded 48 h at the time of ICU transfer or admission, palliative care patients and pregnant and parturient women. Using indirect calorimetry to determine VO 2 and VCO 2 values on the 4th day of admission, reviewing medical records to obtain general condition, disease information, blood gas analysis (including lactate value), diagnostic and therapeutic measures, and following up deaths by telephone and time of death. The primary outcome measure was death at 90 days, and the secondary outcome measure was death at 28 days, length of stay in ICU, total length of stay, and total hospitalization cost. Cox regression analysis and linear regression analysis were used to investigate the relationship between VO 2, VCO 2, VO 2/Lac and primary and secondary outcome indexes. Results:A total of 216 patients were enrolled, 78 patients (36.1%) died and 138 patients (63.9%) survived at 90 days. After correction for confounders, the results of multifactorial Cox regression analysis suggested that compared with the Q4 group, HR (95% CI) for 90-day risk of death in the VO 2 Q1 and Q2 groups was 3.21 (1.38, 7.49) and 3.24 (1.42, 7.38), and HR (95% CI) for 90-day risk of death in the VCO 2 Q1, Q2 and Q3 groups was 5.88 (2.33, 14.84), 4.26 (1. 60, 11.34) and 3.54 (1.34, 9.35), respectively, and the HR (95% CI) for 90-day risk of death in the VO 2/Lac Q1, Q2 and Q3 groups were 8.72 (3.01, 25.25), 8.43 (2.91, 24.47) and 4.04 (1.34, 12.17) respectively. P-trends were all <0.05, indicating that VO 2, VCO 2 and VO 2/Lac were linearly and negatively associated with the risk of 90-day mortality. In addition, VO 2, VCO 2, and VO 2/Lac were negatively associated with 28-day risk of death and higher VO 2/Lac was negatively associated with length of ICU stay. Conclusions:VO 2, VCO 2 and VO 2/Lac were negatively associated with 90-day mortality risk and 28-day mortality risk in patients with severe ARDS and may be independent risk factors predicting mortality risk of such patients.

Objective:To compare the degranulation levels of basophils in peripheral blood mononuclear cell (PBMC) and granulocyte populations between healthy subjects and patients with sepsis, and to explore the underlying mechanisms. Additionally, plasma cytokine levels were measured in these volunteers.Methods:Peripheral blood samples were collected from both healthy individuals and sepsis patients. The degranulation level of basophils in sepsis patients and its potential mechanisms were examined. Plasma levels of IL-1β, IL-9, and IL-10 were detected, and Pearson correlation analysis was performed to assess the relationship between degranulated basophils in the granulocyte population and IL-9 levels.Results:Compared with healthy subjects, sepsis patients showed a reduction in basophil percentages within PBMC and granulocyte populations by 94.8% and 37.9%, respectively ( Z = -6.441, P < 0.05; Z = -2.681, P < 0.05). In contrast, both the proportion and number of degranulated basophils in the granulocyte population were increased (both P < 0.05). Plasma levels of IL-1β, IL-9, and IL-10 were significantly elevated in sepsis patients--by 80.6%, 36.7%, and 11.9-fold, respectively ( Z = -4.258, P < 0.05; Z = -3.606, P < 0.05; Z = -4.814, P < 0.05). Moreover, plasma IL-9 levels were highly correlated with both the percentage and count of degranulated basophils in the granulocyte population (both P < 0.05). GO and KEGG enrichment analyses revealed cytological changes and potential mechanisms involving basophils in the PBMC of sepsis patients. Conclusions:The decreased total count of basophils in sepsis patients may elevate the risk of secondary infection. Degranulated basophils in the granulocyte population may contribute to excessive inflammatory responses through IL-9 secretion.

Objective To develop an expert consensus on the subcutaneous injection of targeted drugs for breast cancer,to guide clinical nursing practice.Methods A consensus building group was established to create the initial draft of the consensus based on a review of literature.From December 2023 to February 2024,a total of 84 experts from various fields including breast cancer clinical nursing or medical practice,pharmacology,cancer hospital nursing or medical management were invited to participate in 2 rounds of expert letter consultations.Additionally,an on-site expert discussion meeting and an online expert finalization meeting were conducted to finalize the draft"consensus".Results The finalized consensus includes sections covering basic drug introduction,drug injection nursing(injection personnel,injection preparation,injection points,observation and recording after injection),nursing care for adverse reactions,patient education and follow-up.Conclusion This consensus is scientific and practical.It can serve as a valuable reference for clinical practice related to subcutaneous therapy using targeted drugs for breast cancer.

ObjectiveThis study aims to investigate the therapeutic effects of Wenweishu granule （WWSG） on functional dyspepsia （FD） with spleen-stomach deficiency cold syndrome in rats by integrating network pharmacology， molecular docking， and animal experiments. MethodsActive components and corresponding targets of WWSG were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine （BATMAN-TCM）. Disease-related targets for FD with spleen-stomach deficiency cold syndrome were screened using GeneCards and the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP）. Core therapeutic targets were identified via Cytoscape and validated by molecular docking. A rat model of FD with spleen-stomach deficiency cold syndrome was established using vinegar gavage combined with tail-clamping. The rats were randomly divided into a model group， low-， medium-， and high-dose WWSG groups （2.0， 4.0， 8.0 g·kg^-1）， a domperidone group （3.0 mg·kg^-1）， a Fuzi Lizhong pillwan （0.8 g·kg^-1）， and a normal control group （n=10 per group）. Drugs were administered once daily by gavage for 14 consecutive days. After treatment， body weight， symptom scores， and gastrointestinal motility indices were recorded. Gastric and duodenal pathologies changes were observed via hematoxylin-eosin （HE） staining. Brain-gut peptides were measured in serum and tissue using enzyme-linked immunosorbent assay （ELISA）. Immunohistochemistry and Western blot were performed to assess stem cell factor （SCF） and receptor tyrosine kinase （c-Kit） protein expression in gastric tissues. ResultsA total of 305 drug targets， 1 140 disease targets， and 116 overlapping targets were identified. Cytoscape analysis revealed 104 core targets. Enrichment analysis indicated that the SCF/c-Kit signaling pathway was the key mechanism. Molecular docking confirmed a strong binding affinity between active components of WWSG and SCF/c-Kit proteins （binding energy<-5.1 kcal·mol^-1）. Compared with the normal group， model rats exhibited slower weight gain （P<0.05）， reduced gastric emptying and intestinal propulsion （P<0.01）， mild gastric mucosal shedding， duodenal inflammatory cell infiltration， decreased levels of gastrin （GAS）， 5-hydroxytryptamine （5-HT）， and vasoactive intestinal peptide （VIP） （P<0.05， P<0.01）， and elevated somatostatin （SS） expression （P<0.05， P<0.01）. WWSG treatment ameliorated weight gain， symptom scores， and low-grade inflammation in gastric/duodenal tissues. High-dose WWSG significantly improved gastric emptying and intestinal propulsion， upregulated GAS， 5-HT， and VIP， and downregulated SS expression in serum and tissues （P<0.05， P<0.01）. Immunohistochemistry and Western blot demonstrated that SCF and c-Kit protein expression was decreased in the model group （P<0.05， P<0.01）， which was reversed by WWSG intervention （P<0.05）. ConclusionWWSG exerts therapeutic effects on FD with spleen-stomach deficiency cold syndrome in rats， potentially by regulating the SCF/c-Kit signaling pathway to enhance gastrointestinal motility.

Background The Inner Mongolia Autonomous Region is a vast area with a wide array of ecological environments, resulting in considerable regional variations in air pollution characteristics. Current research is limited by a scarcity of systematic, region-wide studies and risk assessments. Objective To assess the health risks associated with inhalation exposure to nine heavy metal and metalloid elements in atmospheric fine particulate matter (PM_2.5) for the population of the Inner Mongolia Autonomous Region. Methods From the 10th to the 16th of each month throughout 2023, atmospheric PM_2.5 samples were collected at designated monitoring sites in 12 leagues (cities) across the Inner Mongolia Autonomous Region to analyze the characteristics and trends in concentration. The health risk assessment model developed by the United States Environmental Protection Agency was employed to evaluate both the non-carcinogenic and carcinogenic risks associated with the heavy metal elements beryllium (Be), cadmium (Cd), chromium (Cr), hydrargyrum (Hg), plumbum (Pb), manganese (Mn), and nickel (Ni) and the metalloid elements stibium (Sb) and arsenic (As). Results In 2023, a total of 1206 valid PM_2.5 samples were analyzed from the Inner Mongolia Autonomous Region. The annual average PM_2.5 concentrations in Inner Mongolia, as well as in the cities of Ordos, Wuhai, and the Alxa League, all exceeded the national limit of 35 μg·m⁻³. The PM_2.5 concentrations across the leagues (cities) exhibited a clear seasonal variation, peaking in winter, followed by spring, and reaching a minimum in summer and autumn. The median PM_2.5 concentration in Ordos throughout the year was higher than that in the other leagues (cities) of the region. Concerning health risks, the non-carcinogenic risks associated with the 9 elements detected in each league (city) were all below 1, indicating acceptable levels. However, the non-carcinogenic risk values for Mn, Cr, and As were relatively high; specifically, Ordos City displayed the highest non-carcinogenic risk values for Mn (7.74×10⁻¹) and Cr (2.97×10⁻²), while Chifeng City recorded the highest value for As (2.34×10⁻³). The carcinogenic risk values for As, Cd, Cr, and Ni fell within the range of 1×10⁻⁹ to 1×10⁻⁵, representing an acceptable level. The health risks varied with age, and the elderly residents faced the highest non-carcinogenic and carcinogenic health risks. Conclusion While the carcinogenic and non-carcinogenic risks from heavy metals and metalloids within atmospheric PM_2.5 in the Inner Mongolia Autonomous Region are generally within acceptable limits, the potential risks that Mn, As, and Cr pose to the health of elderly people warrants particular attention, and Ordos and Chifeng cities exhibit notably higher health risks among other areas. It is recommended that regular, long-term monitoring be conducted, taking into account the specific conditions at monitoring sites across each league (city), and that targeted air quality management strategies be implemented to protect public health.

Objective To develop an expert consensus on the subcutaneous injection of targeted drugs for breast cancer,to guide clinical nursing practice.Methods A consensus building group was established to create the initial draft of the consensus based on a review of literature.From December 2023 to February 2024,a total of 84 experts from various fields including breast cancer clinical nursing or medical practice,pharmacology,cancer hospital nursing or medical management were invited to participate in 2 rounds of expert letter consultations.Additionally,an on-site expert discussion meeting and an online expert finalization meeting were conducted to finalize the draft"consensus".Results The finalized consensus includes sections covering basic drug introduction,drug injection nursing(injection personnel,injection preparation,injection points,observation and recording after injection),nursing care for adverse reactions,patient education and follow-up.Conclusion This consensus is scientific and practical.It can serve as a valuable reference for clinical practice related to subcutaneous therapy using targeted drugs for breast cancer.

Objective To explore the value of clinical-MRI radiomics combined model for differentiating borderline ovarian tumor(BOT)from epithelial ovarian cancer(EOC).Methods Totally 139 patients with BOT(BOT group)and 307 patients with EOC(EOC group)confirmed by postoperative pathology and underwent preoperative pelvic MRI were retrospectively enrolled and randomly divided into training set(n=312)and test set(n=134)at a ratio of 7∶3.Multivariable logistic regression was used to identify independent clinical predictors for differentiating BOT and EOC,then a clinical model was constructed.Radiomics features were extracted from the volumes of interest(VOI)of lesions on T2WI,diffusion weighted imaging(DWI)and apparent diffusion coefficient(ADC)images,respectively,and single-sequence and multi-sequence MRI radiomics models were built using extreme gradient boosting(XGBoost)based on data in training set.The optimal MRI radiomics model was selected according to the highest area under the curve(AUC)in test set,and a clinical-MRI radiomics combined model was constructed combined the optimal radiomics model with independent clinical predictors.The performances of clinical model,the optimal MRI radiomics model and the combined model for differentiating BOT and EOC were compared in test set.SHapley Additive exPlanations(SHAP)analysis was applied to interpret key predictive features in the best model.Results Patients' age,carbohydrate antigen 153(CA153)and carbohydrate antigen 125(CA125)were all independent predictors for differentiating BOT and EOC(all P＜0.05).Multi-sequence MRI radiomics model was the optimal MRI radiomics model.The combined model showed superior performance(AUC=0.929)for discriminating BOT and EOC compared with clinical model(AUC=0.881)and multi-sequence MRI radiomics model(AUC=0.871)(both P＜0.05).SHAP beeswarm plot revealed that the top 10 important features of combined model included age,CA153 and CA125,as well as entropy,kurtosis and gray level non-uniformity from ADC and DWI sequences.Conclusion Clinical-MRI radiomics combined model based on multi-sequence MRI radiomics features and clinical features could be used to effectively differentiate BOT from EOC.