ObjectiveTo investigate the effect of honokiol on proliferation， apoptosis， migration， and invasion of gastric cancer cells and its underlying mechanistic. MethodsHuman gastric cancer cell lines HGC-27 and AGS were treated with Honokiol at concentrations of 0， 15， and 25 μmol/L. CCK-8 assays were conducted to determine the half maximal inhibitory concentration （IC₅₀） for both cell lines. Cell viability， proliferation， migration， and invasion capabilities were assessed using CCK-8， colony formation， wound healing， Transwell migration and Transwell invasion assays. Apoptosis rates were measured via flow cytometry. Western blot analysis examined proteins related to proliferation， apoptosis， migration， invasion， and the endoplasmic reticulum stress pathway ATF4-CHOP-TRIB3. ResultsCompared with the control group， treatment with 15 and 25 μmol/L Honokiol significantly reduced the proliferation， colony formation， migration， and invasion capabilities of the two gastric cancer cell lines， while significantly increasing the apoptosis rate （P<0.05）. Additionally， compared to the control group， the protein expression levels of neural cadherin（N-cadherin）， Vimentin， proliferating cell nuclear antigen（PCNA）， and B-cell lymphoma/leukemia-2 protein（Bcl-2）decreased in the two gastric cancer cell lines after treatment with 15 and 25 μmol/L Honokiol， while the protein expression levels of epithelial cadherin（E-cadherin）， Bcl-2-associated X protein（Bax）， activating transcription factor 4（ATF4）， endoplasmic reticulum stress-related protein（CHOP）， and tribbles homolog 3（TRIB3）increased（P<0.05）. ConclusionHonokiol promotes apoptosis and inhibits proliferation， migration， and invasion of gastric cancer HGC-27 and AGS cells by regulating the ERS signaling pathway ATF4/CHOP/TRIB3.

Pancreatic portal hypertension （PPH） is a type of regional portal hypertension secondary to pancreatic diseases and their complications. Unlike portal hypertension caused by liver cirrhosis， PPH is confined to the splenic venous system， and most patients tend to have normal liver function. Splenic vein obstruction and impaired blood return are the core mechanisms underlying the development of PPH， and isolated gastric fundal varices represent a characteristic manifestation of PPH. For patients with pancreatic diseases， it is necessary to establish early warning and risk stratification strategies， and high-quality studies are needed to further confirm the safety and efficacy of anticoagulation， surgical approaches， and interventional therapies in patients with PPH. This article systematically reviews the pathogenesis， etiological classification， clinical features， and key diagnostic points of PPH and discusses the current status of PPH treatment and existing challenges.

[Objective] To assess the data characteristics of quality monitoring indicators for red blood cell (RBC) preparations, so as to provide reference for continuous improvement of blood quality. [Methods] The quality inspection data of 6 types of RBC preparations from Chongqing blood center from 2019 to 2023 were summarized. For the same indicators, the numerical range of quality indicators was monitored by comparing different types of preparations with the national standard GB18469. The loss and/or damage to RBCs caused by different preparation process were compared, and the impact of different preparation processes on the quality of RBCs was discussed. [Results] The appearance and sterility test compliance rates of the six types of RBC preparations were both 100%, while the compliance rates of other items were all ≥75%. The compliance rate of hematocrit for suspended RBCs was the lowest at 75%, with a median of 0.52, which was close to the lower limit of GB18469, while the medians of hematocrit for the other types were all at the midline level of GB18469. The Hb content for different types of RBCs was significantly higher than the corresponding requirements of GB18469 (P<0.05). The hemolysis rate at the end of storage for different types of RBCs was significantly lower than the requirements of GB18469 (P<0.05). The 1 U leukoreduction process resulted in a hemoglobin content loss of about 5% and had a significant impact on the hemolysis rate at the end of storage (P<0.05). The washing process resulted in a hemoglobin content loss of <3% and had no significant impact on the hemolysis rate at the end of storage (P>0.05). The concentration process resulted in a hemoglobin content loss of <3% and had a significant impact on the hemolysis rate at the end of storage (P<0.05). [Conclusion] The impact of different processes on RBC preparations is within a controllable range and meets the requirements of GB18469. The quality monitoring data can provide a reference for clinical blood selection, effectiveness evaluation and revision of related standards.

Background: Dementia is a multifaceted disorder that affects cognitive function, necessitating accurate diagnosis for effective management and treatment. Although the Mini-Mental State Examination (MMSE) is widely used to assess cognitive impairment, its standalone efficacy is debated. This study examined the effectiveness of the MMSE alone versus in combination with other cognitive assessments in predicting dementia diagnosis, with the aim of refining the diagnostic accuracy for dementia. Methods: A total of 2,863 participants with subjective cognitive complaints who underwent comprehensive neuropsychological assessments were included. We developed two random forest models: one using only the MMSE and another incorporating additional cognitive tests.These models were evaluated based on their accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC) on a 70:30 training-to-testing split. Results: The MMSE-alone model predicted dementia with an accuracy of 86% and AUC of 0.872. The expanded model demonstrated increased accuracy (88%) and an AUC of 0.934.Notably, 17.46% of the cases were reclassified from dementia to non-dementia category upon including additional tests. Higher educational level and younger age were associated with these shifts. Conclusion The findings suggest that although the MMSE is a valuable screening tool, it should not be used in isolation to determine dementia severity. The addition of diverse cognitive assessments can significantly enhance diagnostic precision, particularly in younger and more educated populations. Future diagnostic protocols should integrate multifaceted cognitive evaluations to reflect the complexity of dementia accurately.

Background: Dementia is a multifaceted disorder that affects cognitive function, necessitating accurate diagnosis for effective management and treatment. Although the Mini-Mental State Examination (MMSE) is widely used to assess cognitive impairment, its standalone efficacy is debated. This study examined the effectiveness of the MMSE alone versus in combination with other cognitive assessments in predicting dementia diagnosis, with the aim of refining the diagnostic accuracy for dementia. Methods: A total of 2,863 participants with subjective cognitive complaints who underwent comprehensive neuropsychological assessments were included. We developed two random forest models: one using only the MMSE and another incorporating additional cognitive tests.These models were evaluated based on their accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC) on a 70:30 training-to-testing split. Results: The MMSE-alone model predicted dementia with an accuracy of 86% and AUC of 0.872. The expanded model demonstrated increased accuracy (88%) and an AUC of 0.934.Notably, 17.46% of the cases were reclassified from dementia to non-dementia category upon including additional tests. Higher educational level and younger age were associated with these shifts. Conclusion The findings suggest that although the MMSE is a valuable screening tool, it should not be used in isolation to determine dementia severity. The addition of diverse cognitive assessments can significantly enhance diagnostic precision, particularly in younger and more educated populations. Future diagnostic protocols should integrate multifaceted cognitive evaluations to reflect the complexity of dementia accurately.

Background: Dementia is a multifaceted disorder that affects cognitive function, necessitating accurate diagnosis for effective management and treatment. Although the Mini-Mental State Examination (MMSE) is widely used to assess cognitive impairment, its standalone efficacy is debated. This study examined the effectiveness of the MMSE alone versus in combination with other cognitive assessments in predicting dementia diagnosis, with the aim of refining the diagnostic accuracy for dementia. Methods: A total of 2,863 participants with subjective cognitive complaints who underwent comprehensive neuropsychological assessments were included. We developed two random forest models: one using only the MMSE and another incorporating additional cognitive tests.These models were evaluated based on their accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC) on a 70:30 training-to-testing split. Results: The MMSE-alone model predicted dementia with an accuracy of 86% and AUC of 0.872. The expanded model demonstrated increased accuracy (88%) and an AUC of 0.934.Notably, 17.46% of the cases were reclassified from dementia to non-dementia category upon including additional tests. Higher educational level and younger age were associated with these shifts. Conclusion The findings suggest that although the MMSE is a valuable screening tool, it should not be used in isolation to determine dementia severity. The addition of diverse cognitive assessments can significantly enhance diagnostic precision, particularly in younger and more educated populations. Future diagnostic protocols should integrate multifaceted cognitive evaluations to reflect the complexity of dementia accurately.

Background: Dementia is a multifaceted disorder that affects cognitive function, necessitating accurate diagnosis for effective management and treatment. Although the Mini-Mental State Examination (MMSE) is widely used to assess cognitive impairment, its standalone efficacy is debated. This study examined the effectiveness of the MMSE alone versus in combination with other cognitive assessments in predicting dementia diagnosis, with the aim of refining the diagnostic accuracy for dementia. Methods: A total of 2,863 participants with subjective cognitive complaints who underwent comprehensive neuropsychological assessments were included. We developed two random forest models: one using only the MMSE and another incorporating additional cognitive tests.These models were evaluated based on their accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC) on a 70:30 training-to-testing split. Results: The MMSE-alone model predicted dementia with an accuracy of 86% and AUC of 0.872. The expanded model demonstrated increased accuracy (88%) and an AUC of 0.934.Notably, 17.46% of the cases were reclassified from dementia to non-dementia category upon including additional tests. Higher educational level and younger age were associated with these shifts. Conclusion The findings suggest that although the MMSE is a valuable screening tool, it should not be used in isolation to determine dementia severity. The addition of diverse cognitive assessments can significantly enhance diagnostic precision, particularly in younger and more educated populations. Future diagnostic protocols should integrate multifaceted cognitive evaluations to reflect the complexity of dementia accurately.

Objective:To understand the current status and influencing factors for science and technology ethics awareness among medical postgraduates, explore scientific cultivation path, and provide empirical evidence for higher medical colleges to carry out science and technology ethics education.Methods:The study adopted a cluster sampling method and designed a questionnaire. A total of 2 095 medical postgraduates from Hebei Medical University participated in the survey from June to December 2023. SPSS 24.0 was used for non-parametric tests, and the ordered logistic regression analysis was used to explore the influencing factors.Results:A total of 1 992 valid questionnaires were collected, with a valid response rate of 95.08% (1 922/2 095). The qualified rate of science and technology ethics awareness among medical postgraduates was 90.76% (1 808/1 992), with 48.24% (961/1 992) of students falling into the good interval and 16.21% (323/1 992) falling into the excellent interval. The regression analysis showed that sex, academic category, students' attention to science and technology ethical issues, and understanding of ethical principles were significant influencing factors for medical postgraduates' science and technology ethics awareness ( P<0.05). Conclusions:The science and technology ethics awareness of medical postgraduates is at a medium level. Higher medical colleges should start from the needs and adhere to the direction of lifelong education to build a multi-subject, all-round, and all-process cultivation path. They can help students cultivate ethical awareness by improving the educational system, building a scientific teaching system, and creating a social education atmosphere. They can also help students internalize ethical norms and externalize them in their behaviors, and ensure that they can maintain ethical sensitivity in scientific and technological activities, thereby cultivating high-quality new medical and health professionals who can anticipate scientific and technological risks and assume ethical responsibilities.

As a basic technology in clinical dentistry,bending dental wire has been widely used in prosthodontics,orthodontics,oral surgery and other fields.Wire bending robots based on the concept of digital manufacturing have attracted the attention due to their advantages of automation,standardization and precision,and are expected to gradually replace the traditional manual bending technology.This article describes the development of dental wire bending robot in detail,and introduces its application in orthodon-tic arch wires,removable denture clasps,and fixation of traumatic teeth.

A 57-year-old female patient with small cell lung cancer was treated with serplulimab (100 mg by intravenous infusion on the first day, 21 days as a cycle). After the 10th cycle of treatment, the patient suddenly presented drowsiness, shortness of breath, dry mouth, nausea, vomiting, fatigue and other symptoms. Laboratory tests showed fasting blood glucose 38.9 mmol/L, glycosylated hemoglobin 7.9%, serum C peptide 0.2 μg/L, pH value 7.05, anion gap 31 mmol/L, anti-islet cell antibody 36 kU/L, anti-glutamic acid decarboxylase antibody 131 kU/L, urine ketone body (+++). The patient was diagnosed with fulminant type 1 diabetic ketoacidosis, which was considered to be related to serplulimab. The drug was stopped, and insulin, rehydration, correction of acid-base imbalance, and other treatments were given. After 3 days, the patient′s consciousness returned to normal. After 12 days, her breathing was stable, dry mouth, nausea, vomiting and other symptoms were relieved. Laboratory tests showed random blood glucose 13.6 mmol/L, pH value 7.44, anion gap 6 mmol/L, and urine ketone body negative. After 26 days, her random blood glucose was controlled at 10.0-12.0 mmol/L.