Hypercholesterolemia is a significant risk factor for the development of atherosclerosis. 2',3',5'-Tri-O-acetyl-N ⁶-(3-hydroxyphenyl) adenosine (IMM-H007), a novel AMPK agonist, has shown protective effects in metabolic diseases. However, its impact on cholesterol and triglyceride metabolism in hypercholesterolemia remains unclear. In this study, we aimed to elucidate the effects and specific mechanisms by which IMM-H007 regulates cholesterol and triglyceride metabolism. To achieve this goal, we used Apoe ^-/- and Ldlr ^-/- mice to establish a hypercholesterolemia/atherosclerosis model. Additionally, hepatocyte-specific Ampka1/2 knockout mice were subjected to a 5-week high-cholesterol diet to establish hypercholesterolemia, while atherosclerosis was induced via AAV-PCSK9 injection combined with a 16-week high-cholesterol diet. Our results demonstrated that IMM-H007 improved cholesterol and triglyceride metabolism in mice with hypercholesterolemia. Mechanistically, IMM-H007 modulated the AMPKα1/2-LDLR signaling pathway, increasing cholesterol uptake in the liver. Furthermore, IMM-H007 activated the AMPKα1-FXR pathway, promoting the conversion of hepatic cholesterol to bile acids. Additionally, IMM-H007 prevented hepatic steatosis by activating the AMPKα1/2-ATGL pathway. In conclusion, our study suggests that IMM-H007 is a promising therapeutic agent for improving hypercholesterolemia and atherosclerosis through the activation of AMPKα.

Objective:To analyze the factors influencing postoperative complications and survival in patients undergoing hepatectomy for primary liver cancer (PLC).Methods:Two hundred and eighty-eight patients with PLC who underwent hepatectomy at Tianjin Medical University Cancer Hospital from April 2018 to December 2020 were prospectively enrolled, including 235 males and 53 females, aged (58.5±9.5) years. Nutritional evaluations included the nutritional risk screening 2002 (NRS-2002), patient-generated subjective global assessment (PG-SGA), and physical metrics such as body mass index, handgrip strength, arm circumference, mid-arm muscle circumference (MAMC), and triceps skinfold thickness (TSF). Based on the occurrence of postoperative complications during hospitalization including abdominal infection, bleeding, bile leakage, intra-abdominal fluid accumulation, pulmonary infection, intestinal fistula, and wound dehiscence, patients were divided into two groups: the complication group ( n=205) and the non-complication group ( n=83). Multivariate logistic regression analysis was performed to identify the factors related to postoperative complications, while Cox proportional hazards regression was used to evaluate the impact of various variables on postoperative survival. Survival analysis was conducted using the Kaplan-Meier method, and differences in survival rates were compared using the log-rank test. Results:Compared with the non-complication group, patients in the complication group had a significantly longer postoperative hospital stay [13(8, 16) d vs. 7(5, 9) d], higher proportions of low MAMC [34.1% (24/83) vs. 20.0% (41/205)], lower grip strength [28.9% (24/83) vs. 17.6% (36/205)], higher incidence of intraoperative blood loss ≥200 ml [44.6% (37/83) vs. 22.0% (45/205)], and greater proportion of resection involving ≥3 liver segments [45.8% (38/83) vs. 26.3% (54/205)] (all P<0.05). Multivariate logistic regression analysis identified the low MAMC ( OR=2.01, 95% CI: 1.09-3.71, P=0.025), intraoperative blood loss ≥200 ml ( OR=2.75, 95% CI: 1.55-4.90, P=0.001), and resection involving ≥3 liver segments ( OR=2.02, 95% CI: 1.15-3.55, P=0.015) as independent risk factors for postoperative complications in patients undergoing hepatectomy for PLC. Multivariate Cox regression analysis revealed that low TSF ( HR=1.94, 95% CI: 1.01-3.72, P=0.047), low handgrip strength ( HR=2.23, 95% CI: 1.29-3.88, P=0.004), and resection involving ≥3 liver segments ( HR=1.96, 95% CI: 1.15-3.36, P=0.014) were risk factors associated with poor survival after surgery. Conclusions:Low MAMC, intraoperative blood loss ≥200 ml, and resection involving ≥3 liver segments are risk factors for postoperative complications in patients undergoing hepatectomy for PLC, while low TSF, reduced handgrip strength, and resection involving ≥3 liver segments are predictors of poor postoperative survival.

Objective:To report the blood group antigen and antibody specificity identification methods for a patient with high-frequency antibodies, and the process of finding and providing compatible blood for the patient.Methods:A patient sent from the Blood Transfusion Department of Shanxi Provincial People′s Hospital to Taiyuan Blood Center in November 2022 was selected for the study. Classical serological methods were used to determine the patient′s blood type, screen for unexpected antibodies, identify antibodies, and perform crossmatching. High-frequency antibody identification was carried out using red blood cells treated with various enzymes. Blood group genotyping was conducted using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF) and Sanger sequencing. Multiple strategies were employed to address the patient′s blood source problem. The study was approved by the Medical Ethics Committee of Taiyuan Blood Center [Ethics No. 2024 Ethics Review No.(2)].Results:①The patient′s blood type was B, RhD positive. Initial screening of the patient′s serum with multiple screening cells and antibody identification cells in saline medium was negative, but positive in antiglobulin medium. The patient′s serum showed varying reaction intensities with red blood cells treated with different enzymes. ②MALDI-TOF mass spectrometry and Sanger sequencing revealed a homozygous nonsense variant c. 376C>T (p.Gln126Ter) in the ABCG2 gene, resulting in the Jr(a-) phenotype. During family donor selection, the patient′s son was found to have a heterozygous variant c. 376C>T (p.Gln126Ter), and another heterozygous variant c. 421C>A (p.Gln141Lys), which predicted a Jr(a+ w) phenotype. ③Crossmatch tests confirmed the compatibility of blood from the patient′s son, which was used to address the urgent blood requirement. Later, rare blood from a Jr(a-) donor from the Guangzhou Blood Center was used for the patient′s ongoing treatment, saving the patient′s life. Conclusion:Combining classic serological testing with blood group gene typing techniques successfully identified the rare Jr(a-) blood type and high-frequency anti-Jra antibodies. Enzyme-treated red blood cell identification methods confirmed the presence of anti-Jra antibodies. By searching within the family and seeking help from other blood centers, compatible blood was found. This approach may provide insights for resolving similar complex blood matching problems in the future.

Objective:To investigate the levels of diphtheria-specific binding antibodies and neutralizing antibodies in mice immunized with pneumococcal polysaccharide conjugate vaccine using diphtheria toxoid as a carrier.Methods:NIH mice were immunized with one batch of diphtheria, tetanus and acellular pertussis combined vaccine, absorbed (DTaP-1) or three different batches of 13-valent pneumococcal polysaccharide conjugate vaccine (PCV13, containing diphtheria toxoid vector) at three dilutions (5-, 10- and 20-fold dilution). Serum samples were collected to test for diphtheria-specific antibody titers and diphtheria potencies of the vaccines. Another three batches of DTaP vaccine and three batches of tetanus toxoid, reduced diphtheria toxoid and acellular pertussis combined vaccine (Tdap) were used to immunize NIH mice. Serum samples were collected and the diphtheria potencies were detected. Statistical analysis was performed using one-way analysis of variance.Results:At the 5-fold and 10-fold dilutions, the titers of diphtheria-specific antibodies induced by three batches of PCV13 vaccine were all lower than those by DTaP-1 vaccine (all P<0.001), while there was no statistically significant difference at the 20-fold dilution ( P>0.05). The diphtheria potencies of the DTaP-1 vaccine and the three batches of PCV13 vaccine were 100.5, 76.2, 64.5, and 62.0 IU/ml, respectively. The diphtheria potencies of another three batches of DTaP vaccine were 82.5, 83.6, and 79.9 IU/ml, respectively, and those of three batches of Tdap vaccine were 10.3, 12.2, and 12.9 IU/ml, respectively. There was no statistically significant difference in diphtheria potency between DTaP vaccine and PCV13 vaccine( P>0.05), while there was a statistically significant difference between Tdap vaccine and the PCV13 vaccine ( P<0.001). Conclusions:The pneumococcal polysaccharide conjugate vaccine with diphtheria toxoid has good diphtheria immunogenicity and can induce the production of higher levels of diphtheria-specific binding antibodies and protective neutralizing antibodies in vivo. Pneumococcal capsular polysaccharide exerts an immune enhancement effect on diphtheria toxoid. The relevant results provide valuable guidance for determining carrier protein dosage in bacterial polysaccharide conjugate vaccines, planning vaccine co-administration, and selecting the dosage of diphtheria toxoid antigen in the research and development of combined vaccines.

Objective:To explore the quantitative indexes of dual energy spectrum CT and related clinical data to establish a predictive model for predicting pneumoconiosis.Methods:In April 2024, the information of 203 pneumoconiosis patients diagnosed by the occupational disease appraisal expert group in the Third People's Hospital of Xinjiang Uygur Autonomous Region (Occupational Disease Hospital of Xinjiang Autonomous Region) from January 2022 to December 2023 was retrospectively analyzed. Another 207 non-pneumoconiosis patients with dust exposure history were selected as control group. The measurement data between the two groups were compared using T test or Wilcoxon in dependent quality test, count date asing chi-square or Fishers test, the energy spectrum related indicators and clinical indicators of the patients were compared between groups, and potential factors for diagnosis of pneumoconiosis were screened through univariate analysis, and independent risk factors were further determined by multivariate logistic regression. Based on the results of regression analysis, the machine learning model was constructed, and the reciver operating characteristic curve (ROC) was drawn to evaluate the efficiency of the model, and the Area under cruve (AUC) value, sensitivity and specificity were calculated.Results:Smoking, lung tissue mass, silicon dioxide (SiO 2) equivalent total mass and SiO 2 equivalent concentration were the risk factors for pneumoconiosis ( P<0.05) . Multivariate logistic regression analysis showed that smoking, lung tissue mass, total lung SiO 2 equivalent total volume and total lung SiO 2 equivalent total mass were independent predicators of the diagnosis of pneumoconiosis ( OR=0.53, 0.99, 1.13, 0.85, P<0.05) . Logistic regression machine learning was used to establish a predictive model, and the training set AUC was 0.74, and the verification set AUC was 0.72, indicating that the model had good accuracy and certain ability to diagnose pneumoconiosis. Conclusion:The machine learning prediction model established by the quantitative analysis index of dual energy spectrum CT and clinical related indexes has a good diagnostic performance for the diagnosis of pneumoconiosis.

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

OBJECTIVE: To report the blood group antigen and antibody specificity identification methods for a patient with high-frequency antibodies, and the process of finding and providing compatible blood for the patient. METHODS: A patient sent from the Blood Transfusion Department of Shanxi Provincial People's Hospital to Blood Transfusion Technology Research Laboratory of Taiyuan Blood Center in November 2022 was selected for the study. Classical serological methods were used to determine the patient's blood type, screen for unexpected antibodies, identify antibodies, and perform crossmatching. High-frequency antibody identification was carried out using red blood cells treated with various enzymes. Blood group genotyping was conducted using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF) and Sanger sequencing. Multiple strategies were employed to address the patient's blood source problem. The study was approved by the Medical Ethics Committee of Taiyuan Blood Center [Ethics No. 2024 Ethics Review No.(2)]. RESULTS: The patient's blood type was B, RhD positive. Initial screening of the patient's serum with multiple screening cells and antibody identification cells in saline medium was negative, but positive in antiglobulin medium. The patient's serum showed varying reaction intensities with red blood cells treated with different enzymes. MALDI-TOF mass spectrometry and Sanger sequencing revealed a homozygous nonsense variant c.376C>T (p.Gln126Ter) in the ABCG2 gene, resulting in the Jr(a-) phenotype. During family donor selection, the patient's son was found to have a heterozygous variant c.376C>T (p.Gln126Ter), and another heterozygous variant c.421C>A (p.Gln141Lys), which predicted a Jr(a+w) phenotype. Crossmatch tests confirmed the compatibility of blood from the patient's son, which was used to address the urgent blood requirement. Later, rare blood from a Jr(a-) donor from the Guangzhou Blood Center was used for the patient's ongoing treatment, saving the patient's life. CONCLUSION Combining classic serological testing with blood group gene typing techniques successfully identified the rare Jr(a-) blood type and high-frequency anti-Jra antibodies. Enzyme-treated red blood cell identification methods confirmed the presence of anti-Jra antibodies. By searching within the family and seeking help from other blood centers, compatible blood was found. This approach may provide insights for resolving similar complex blood matching problems in the future.
Humans ; Blood Grouping and Crossmatching/methods* ; Blood Group Antigens/immunology* ; Blood Transfusion ; Male ; Isoantibodies/blood* ; Female ; Genotype

Objective:To explore the quantitative indexes of dual energy spectrum CT and related clinical data to establish a predictive model for predicting pneumoconiosis.Methods:In April 2024, the information of 203 pneumoconiosis patients diagnosed by the occupational disease appraisal expert group in the Third People's Hospital of Xinjiang Uygur Autonomous Region (Occupational Disease Hospital of Xinjiang Autonomous Region) from January 2022 to December 2023 was retrospectively analyzed. Another 207 non-pneumoconiosis patients with dust exposure history were selected as control group. The measurement data between the two groups were compared using T test or Wilcoxon in dependent quality test, count date asing chi-square or Fishers test, the energy spectrum related indicators and clinical indicators of the patients were compared between groups, and potential factors for diagnosis of pneumoconiosis were screened through univariate analysis, and independent risk factors were further determined by multivariate logistic regression. Based on the results of regression analysis, the machine learning model was constructed, and the reciver operating characteristic curve (ROC) was drawn to evaluate the efficiency of the model, and the Area under cruve (AUC) value, sensitivity and specificity were calculated.Results:Smoking, lung tissue mass, silicon dioxide (SiO 2) equivalent total mass and SiO 2 equivalent concentration were the risk factors for pneumoconiosis ( P<0.05) . Multivariate logistic regression analysis showed that smoking, lung tissue mass, total lung SiO 2 equivalent total volume and total lung SiO 2 equivalent total mass were independent predicators of the diagnosis of pneumoconiosis ( OR=0.53, 0.99, 1.13, 0.85, P<0.05) . Logistic regression machine learning was used to establish a predictive model, and the training set AUC was 0.74, and the verification set AUC was 0.72, indicating that the model had good accuracy and certain ability to diagnose pneumoconiosis. Conclusion:The machine learning prediction model established by the quantitative analysis index of dual energy spectrum CT and clinical related indexes has a good diagnostic performance for the diagnosis of pneumoconiosis.

Objective:To analyze the factors influencing postoperative complications and survival in patients undergoing hepatectomy for primary liver cancer (PLC).Methods:Two hundred and eighty-eight patients with PLC who underwent hepatectomy at Tianjin Medical University Cancer Hospital from April 2018 to December 2020 were prospectively enrolled, including 235 males and 53 females, aged (58.5±9.5) years. Nutritional evaluations included the nutritional risk screening 2002 (NRS-2002), patient-generated subjective global assessment (PG-SGA), and physical metrics such as body mass index, handgrip strength, arm circumference, mid-arm muscle circumference (MAMC), and triceps skinfold thickness (TSF). Based on the occurrence of postoperative complications during hospitalization including abdominal infection, bleeding, bile leakage, intra-abdominal fluid accumulation, pulmonary infection, intestinal fistula, and wound dehiscence, patients were divided into two groups: the complication group ( n=205) and the non-complication group ( n=83). Multivariate logistic regression analysis was performed to identify the factors related to postoperative complications, while Cox proportional hazards regression was used to evaluate the impact of various variables on postoperative survival. Survival analysis was conducted using the Kaplan-Meier method, and differences in survival rates were compared using the log-rank test. Results:Compared with the non-complication group, patients in the complication group had a significantly longer postoperative hospital stay [13(8, 16) d vs. 7(5, 9) d], higher proportions of low MAMC [34.1% (24/83) vs. 20.0% (41/205)], lower grip strength [28.9% (24/83) vs. 17.6% (36/205)], higher incidence of intraoperative blood loss ≥200 ml [44.6% (37/83) vs. 22.0% (45/205)], and greater proportion of resection involving ≥3 liver segments [45.8% (38/83) vs. 26.3% (54/205)] (all P<0.05). Multivariate logistic regression analysis identified the low MAMC ( OR=2.01, 95% CI: 1.09-3.71, P=0.025), intraoperative blood loss ≥200 ml ( OR=2.75, 95% CI: 1.55-4.90, P=0.001), and resection involving ≥3 liver segments ( OR=2.02, 95% CI: 1.15-3.55, P=0.015) as independent risk factors for postoperative complications in patients undergoing hepatectomy for PLC. Multivariate Cox regression analysis revealed that low TSF ( HR=1.94, 95% CI: 1.01-3.72, P=0.047), low handgrip strength ( HR=2.23, 95% CI: 1.29-3.88, P=0.004), and resection involving ≥3 liver segments ( HR=1.96, 95% CI: 1.15-3.36, P=0.014) were risk factors associated with poor survival after surgery. Conclusions:Low MAMC, intraoperative blood loss ≥200 ml, and resection involving ≥3 liver segments are risk factors for postoperative complications in patients undergoing hepatectomy for PLC, while low TSF, reduced handgrip strength, and resection involving ≥3 liver segments are predictors of poor postoperative survival.

Objective:To report the blood group antigen and antibody specificity identification methods for a patient with high-frequency antibodies, and the process of finding and providing compatible blood for the patient.Methods:A patient sent from the Blood Transfusion Department of Shanxi Provincial People′s Hospital to Taiyuan Blood Center in November 2022 was selected for the study. Classical serological methods were used to determine the patient′s blood type, screen for unexpected antibodies, identify antibodies, and perform crossmatching. High-frequency antibody identification was carried out using red blood cells treated with various enzymes. Blood group genotyping was conducted using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF) and Sanger sequencing. Multiple strategies were employed to address the patient′s blood source problem. The study was approved by the Medical Ethics Committee of Taiyuan Blood Center [Ethics No. 2024 Ethics Review No.(2)].Results:①The patient′s blood type was B, RhD positive. Initial screening of the patient′s serum with multiple screening cells and antibody identification cells in saline medium was negative, but positive in antiglobulin medium. The patient′s serum showed varying reaction intensities with red blood cells treated with different enzymes. ②MALDI-TOF mass spectrometry and Sanger sequencing revealed a homozygous nonsense variant c. 376C>T (p.Gln126Ter) in the ABCG2 gene, resulting in the Jr(a-) phenotype. During family donor selection, the patient′s son was found to have a heterozygous variant c. 376C>T (p.Gln126Ter), and another heterozygous variant c. 421C>A (p.Gln141Lys), which predicted a Jr(a+ w) phenotype. ③Crossmatch tests confirmed the compatibility of blood from the patient′s son, which was used to address the urgent blood requirement. Later, rare blood from a Jr(a-) donor from the Guangzhou Blood Center was used for the patient′s ongoing treatment, saving the patient′s life. Conclusion:Combining classic serological testing with blood group gene typing techniques successfully identified the rare Jr(a-) blood type and high-frequency anti-Jra antibodies. Enzyme-treated red blood cell identification methods confirmed the presence of anti-Jra antibodies. By searching within the family and seeking help from other blood centers, compatible blood was found. This approach may provide insights for resolving similar complex blood matching problems in the future.