In October 2024， the 75th World Medical Association General Assembly adopted the tenth revised version of the Declaration of Helsinki. Using textual analysis， this paper systematically compared the changes between the 2024 version and the 2013 version of the Declaration of Helsinki. This study found that， while maintaining the original framework， the new version incorporated the common achievements of the values and civilizational development of human society in recent years， mainly presenting changes in three aspects. First， the core terms were updated， and new concepts such as vulnerability， structural inequality， and environmental sustainability were introduced to further emphasize human dignity， rights and interests， and autonomy in terms of values. Second， the contents of the provisions were refined， especially focusing on the vulnerability of research subjects， free and full informed consent， ethical principles in public health emergencies， and the responsibilities of the ethics committee， as well as the standardization of implementation continued to be improved in the research process. Third， mandatory expressions were strengthened， and the justice of value pursuit was further reinforced in terms of research responsibilities. The revised contents reflected the “human-oriented” fundamental principle in medical research ethics， indicating the direction for future ethical development in medical research. In the future， China should strengthen the construction of ethics committees， actively build a protection system for research participants， and continuously promote international cooperation in medical ethics， to contribute Chinese wisdom to global medical research.

[Objective] To investigate the non-pathological influencing factors of the unqualified alanine aminotransferase (ALT) in the initial screening of blood donors in Changchun and the laboratory re-examination, so as to provide evidence for reducing the deferral of blood donors and the discarding of blood due to ALT disqualification. [Methods] The unqualified results of ALT from the laboratory of our center from September 1, 2023 to October 31, 2024 were collected. The unqualified rates of ALT were statistically analyzed according to the blood collection sites and the initial screening detection equipment. The samples after ALT pre-donation screening were tested in the laborator, and the unqualified rates of ALT in the initial screening and the laboratory, the non-conformity rate of the results and the distribution range of ALT values were statistically analyzed according to the blood collection sites and the initial screening detection equipment. A questionnaire survey was conducted on the blood donors before blood collection to statistically analyze the influence of the blood donors' living habits and diet on ALT test results. [Results] The statistical analysis of the unqualified rate of ALT in the laboratory showed statistically significant differences in the ALT disqualification rates among different blood collection sites and different initial screening detection devices (P<0.05). Comparison of the ALT unqualified rate for the same type of equipment at different sites showed that for Equipment 1, there were differences between the combined blood collection house and the whole blood house, and between the combined blood collection house and the blood donation vehicle (P<0.05); for Equipment 2, there were differences between the combined blood collection house and the blood donation vehicle, and between the whole blood house and the blood donation vehicle (P<0.05); there were no significant differences among other groups with the same equipment. The initial screening and the laboratory test results for the same samples were compared, with unqualified rates of ALT of 16.29% and 13.01%, respectively. There were statistically significant differences in the unqualified rates of ALT among different blood collection sites (P<0.05), but no significant differences in the ALT test results among different detection equipment (P>0.05).. The non-conformity rate between the initial screening and the laboratory results was 5.26%, of which 81.15% (99/122) were unqualified in the initial screening but qualified in the laboratory. There were statistically significant differences in those unqualified in the initial screening but qualified in the laboratory among different blood collection sites and different detection equipment (P<0.05). The median ALT level in the initial screening was 29.0 U/L (with a 5%-95% range of 14-75 U/L), and the median ALT level in the laboratory was 19 U/L (with a 5%-95% range of 8-65 U/L). The results of the questionnaire survey showed that 33.3% (2/6) of those who consumed alcohol within 24 hours before blood donation had unqualified ALT, and 10% (1/10) of those who stayed up late the night before blood donation had unqualified ALT. [Conclusion] The unqualified rates of ALT in the initial screening before blood collection and the laboratory re-examination of blood donors in Changchun are closely related to the blood collection sites, detection equipment, detection environment, detection personnel, samples, ALT thresholds and detection time. Drinking alcohol and staying up late within 24 hours before blood donation increase the risk of unqualified ALT detection.

OBJECTIVE: To observe the effect of moxibustion on small intestinal mucosal immune barrier in rats with diarrhea-predominant irritable bowel syndrome (IBS-D) and explore its underlying mechanisms. METHODS: Of 38 newborn rats from 4 healthy SPF pregnant rats, 12 neonatal rats were randomly selected in a normal group. IBS-D model was prepared by the combined measures for the rest rats, including neonatal maternal separation, acetic acid enema and chronic restraint stress. Twenty-four successfully-modeled rats were randomized into a model group and a moxibustion group, 12 rats in each one. In the moxibustion group, suspending moxibustion was delivered at bilateral "Tianshu" (ST25) and "Shangjuxu" (ST37), 20 min each time, once daily and for 7 consecutive days. Separately, before acetic acid enema (aged 35 days), after modeling (aged 45 days) and after intervention (aged 53 days), the body mass, loose stool rate (LSR) and and the minimum volume threshold when abdominal withdrawal reflex (AWR) scored 3 were observed in the rats of each group. After intervention (aged 53 days), using HE and PAS staining, the morphology of duodenum was observed, the length of villus and the depth of crypt were measured, the ratio of the length of villus to the depth of crypt was calculated; and the numbers of mucosal intraepithelial lymphocytes (IELs) and goblet cells were counted. With ELISA adopted, the contents of γ-interferon (IFN-γ), interleukin-4 (IL-4) and secretory immunoglobulin A (sIgA) in duodenal mucosa of rats were detected. The proportion of T cell subsets in duodenal mucosa was detected using flow cytometry. The microvilli and tight junctions of duodenal mucosal epithelial cells were observed by transmission electron microscopy, and the integrity of duodenal mucosa observed by scanning electron microscopy. RESULTS: Compared with the normal group, for the rats in the model group, the body mass, the minimum volume threshold when AWR scored 3, the length of duodenal villus and the the ratio of the length of villus to the depth of crypt, as well as the proportion of CD₈⁺ T subset were all reduced (P<0.01, P<0.05), the counts of goblet cells in duodenal mucosa decreased (P<0.01); LRS, the proportion of CD₄⁺ T subset and CD₄⁺/CD₈⁺, as well as the contents of IFN-γ, IL-4 and sIgA in duodenal mucosa and IFN-γ/IL-4 were all elevated (P<0.01); and the numbers of IELs rose (P<0.01). The morphology of duodenal mucosa was irregular, the villi got shorter, sparse and scattered, with uneven density. The morphology of epithelial cells was destroyed and the tight junctions damaged, with larger spaces. When compared with the model group, in the moxibustion group, the body mass, the minimum volume threshold when AWR scored 3, the length of duodenal villus and the ratio of the length of villus to the depth of crypt, as well as the counts of goblet cells in duodenal mucosa increased (P<0.01); LRS, the proportion of CD₄⁺ T subset, and CD₄⁺/CD₈⁺, as well as the contents of IFN-γ, IL-4 and sIgA in duodenal mucosa and IFN-γ/IL-4 were reduced (P<0.01); and the numbers of IELs was dropped (P<0.01). The morphology of duodenal mucosa was more regular, the villi were grew, got longer and arranged regularly, with even density. The morphology of epithelial cells was slightly destroyed, and the tight junctions partially damaged. CONCLUSION Moxibustion at "Tianshu" (ST25) and "Shangjuxu" (ST37) can reduce visceral hypersensitivity in IBS-D rats and relieve abdominal pain, diarrhea and other symptoms. Its effect mechanism may be related to the repair of small intestinal mucosal immune barrier and the improvement in the immune function in IBS-D.
Animals ; Irritable Bowel Syndrome/immunology* ; Rats ; Moxibustion ; Intestinal Mucosa/immunology* ; Female ; Diarrhea/therapy* ; Intestine, Small/immunology* ; Male ; Humans ; Rats, Sprague-Dawley ; Disease Models, Animal

Objective To determine the role of cathepsin D(CTSD)in cardiovascular events after acute ST-segment elevation myocar-dial infarction(STEMI).Methods A total of 96 patients with STEMI admitted to the Department of Cardiovascular Medicine of Second Hospital Affiliated to Shenyang Medical College from November 2022 to July 2023 were selected as the STEMI group.In addition,20 patients with normal coronary angiography hospitalized during the same period were selected as the control group.Coronary blood was collected from both groups,and the relative expression levels of CTSD in the arterial blood were detected and compared using real-time quantitative polymerase chain reaction.The STEMI group was divided into low,medium,and high CTSD groups based on CTSD expression,and major adverse cardiovascular events(MACE)that occurred within 6 months following percutaneous coronary interven-tion(PCI)were monitored.Results Arterial blood CTSD expression(1.31[1.03-1.75])in the STEMI group was higher than that in the control group(1.02[0.67-1.48])(P＜0.05).Statistically significant differences in platelet count as well as troponin T,N-terminal pro-B natriuretic peptide,and high-density lipoprotein cholesterol levels were observed among the three groups(P＜0.05).The incidence of MACE was significantly higher in the low CTSD group(65％)than in the high CTSD group(10％,P＜0.05).Receiver operating cha-racteristic(ROC)curve analysis showed that the area under the ROC curve for predicting MACE within 6 months after PCI in patients with STEMI was 0.765(95％CI:0.658-0.872,P＜0.001).Conclusion Whole blood CTSD expression level is abnormal in STEMI patient.CTSD may be an indicator for predicting the prognosis of STEMI and,therefore,a drug target for preventing and treating STEMI.

Objective To analyze the risk factors of heart failure in patients with coronary heart disease(CHD),and to construct and verify a nomogram prediction model for the risk of heart failure in patients with CHD.Methods The clinical data of 453 patients with CHD who were hospitalized in the Second Affiliated Hospital of Shenyang Medical College from January to December 2022 were retrospectively analyzed,including 278 patients with CHD combined with heart failure and 175 patients without heart failure.The patients were divided into training group(318 cases)and validation group(135 cases)according to the ratio of 7:3.R software was applied to perform LASSO regression to screen the risk factors,and Logistic regression to establish a prediction model and construct a nomogram.The calibration curve and receiver operating characteristic(ROC)curve were used to evaluate the calibration and discrimination of the model.Results LASSO regression analysis ultimately screened five risk factors from 22 variables,and Logistic regression results showed that age,smoking,history of myocardial infarction,New York Heart Association(NYHA)cardiac function class Ⅳ,and left ventricular ejection fraction(LVEF)were all independent risk factors for heart failure in CHD patients(P＜0.05).The model formula was Z=-2.927+0.045 × age+0.886 × smoking+0.808 × history of myocardial infarction-2.829 × NYHA cardiac function class Ⅳ+0.037×LVFF.Internal validation of the model showed that area under the curve was 0.727(95％CI:0.588-0.752),the sensitivity was 40.4％,the specificity was 84.3％,and the Youden index was 0.247.According to the calibration curve,the predicted value of the calibration curve was highly consistent with the actual value,and the Brier score was 0.106.Conclusion The risk prediction model for heart failure in patients with CHD based on LASSO regression has good discrimination and prediction efficiency,which can be used as an evaluation tool for medical staff to predict the risk of patients.

Non-exosomal non-coding RNAs (non-exo-ncRNAs) and exosomal ncRNAs (exo-ncRNAs) have been associated with the pathological development of myocardial infarction (MI). Accordingly, this analytical review provides an overview of current MI studies on the role of plasma non-exo/exo-ncRNAs. We summarize the features and crucial roles of ncRNAs and reveal their novel biological correlations via bioinformatics analysis. The following contributions are made: (1) we comprehensively describe the expression profile, competing endogenous RNA (ceRNA) network, and "pre-necrotic" biomarkers of non-exo/exo-ncRNAs for MI; (2) functional enrichment analysis indicates that the target genes of ncRNAs are enriched in the regulation of apoptotic signaling pathway and cellular response to chemical stress, etc.; (3) we propose an updated and comprehensive view on the mechanisms, pathophysiology, and biomarker roles of non-exo/exo-ncRNAs in MI, thereby providing a theoretical basis for the clinical management of MI.
Humans ; RNA, Untranslated/genetics* ; RNA ; Myocardial Infarction/genetics* ; Biomarkers ; Computational Biology ; MicroRNAs/genetics*

Objective:To construct an intelligent foreign bodies detection model based on Faster R-convolutional neural network in posterior-anterior chest X-ray and evaluate the performance of the model.Methods:Totally 5 567 adult posterior-anterior DR chest radiographs from Zhejiang Provincial People′s Hospital and Chun′an County People′s Hospital from June 2019 to March 2020, with 4 247 foreign body-containing chest radiographs were analyzed retrospectively. All data were randomly divided into training set (2 911 foreign body-containing), validation set ( n=1 456, 733 foreign body-containing, 723 free of foreign body) and testing set ( n=1 200, 603 foreign body-containing, 597 free of foreign body). The reference gold standard was set as the results of each chest radiography with foreign body annotated by two radiology residents and reviewed and corrected by a senior radiographer. The receiver operating characteristic (ROC) curve and the area under the curve were used to analyze the efficiency of the deep learning model to distinguish the presence or absence of foreign bodies on chest radiography in the testing set. The precision-recall curve and mean precision (mAP) were used to analyze the stability of the model at different levels. Finally, the influence of different locations, patient gender, and patient age on the foreign body recall of the deep learning model were analyzed. Results:In the testing set, the sensitivity of the deep learning model in diagnosing whether chest radiograph contained foreign bodies was 93.2%(562/603), the specificity was 92.6%(553/597), and the F1 score was 0.94. The area under the ROC curve was 0.97, and the mAP value was 0.69. For foreign bodies in different locations, the recall rates of foreign bodies in lung field and outside lung field were 91.2% (674/739) and 89.0% (1 411/1 585), respectively. For different genders, the recall rates for male and female foreign body detection were 87.3% (337/386) and 90.0%(1 745/1 938), respectively. For different age ranges, the recall rate of foreign body detection was 92.5% (1 041/1 126) for 18-38 years old, 89.7%(505/563) for 39-58 years old, 83.5%(335/401) for 59-78 years old and 85.9% (201/234) for patients ≥79 years old.Conclusion:The constructed deep learning-based foreign body detection model for adult posterior-anterior chest X-ray provides high sensitivity and stability, which can identify foreign bodies in chest radiography quickly and accurately.

The delivery of exogenous insulin is very important for the treatment of type 1 and advanced type 2 diabetes.Traditional injectable administration is prone to cause hypoglycemia, while the intelligent insulin system has the advantages of safety, long-term effectiveness, and high responsiveness.Glucose oxidase (GOx) can consume O2 and catalyze glucose to produce gluconic acid and H2O2.Therefore, the O2 level, H2O2 content and pH of GOx system are closely related to the glucose level in the system.This review introduces the application of GOx in closed-loop insulin delivery systems at home and abroad in recent years, which can be divided into single response and multiple response of pH-response, hypoxia-response, and H2O2-response according to the mechanism.It also discusses the opportunities and challenge facing by the application of GOx in the future.

Thyroid cancer is the most common head and neck malignant tumor, and its incidence is increasing year by year. Therefore, it is of great significance to explore the mechanism of the occurrence and development of thyroid cancer, and develop the diagnostic markers and therapeutic targets of thyroid cancer, so as to improve the curative effect of thyroid cancer and prolong the survival time of patients. The previous study has found that long non-coding RNA (lncRNA) DANCR has abnormal high expression in thyroid cancer, which could promote the expression of leucine-rich repeat kinase 2 (LRRK2) by affecting miRNA-185-5p and transcription factor SMARCB1, and indirectly participate in autophagy and regulate the development of thyroid cancer. LncRNA DANCR is expected to become a new target for diagnosis and treatment of thyroid cancer. This paper introduces the possible regulatory mechanism of lncRNA DANCR in thyroid cancer, and provides new ideas for the basic research and clinical diagnosis and treatment of thyroid cancer.

Objective:To construct a multi-label learning MRI model for assisting diagnosis of sports injury in knee.Methods:A total of 1 391 knee MRI cases from 1 343 young adults with sports injury in Affiliated Jinling Hospital Nanjing University School of Medicine were retrospectively enrolled. The image cases were randomly divided into training set ( n=973), validation set ( n=139) and test set ( n=279) with ratio of 7∶1∶2. The knee injuries were divided into six categories: meniscus injury, tendon injury, ligament injury, osteochondral injury, synovial bursa disorder and soft tissue injury. Using PyTorch V1.1.0 algorithm package, the Yolo model of deep learning was used to construct the MRI knee joint sports injury detection model. The model was validated on the test set, and the sensitivity, specificity and mean average precision of lesion detection were evaluated. Results:Among the 279 patients in test set, the mean average precision of meniscus injury, tendon injury, ligament injury, osteochondral injury, synovial bursa disorder and soft tissue injury were 83.1%, 89.0%, 88.0%, 85.8%, 85.5% and 83.2%, respectively, and the overall mean average precision was 85.8%. The model was most effective in detecting tendon injury. The sensitivity and specificity of the model for tendon injury were 91.2% and 87.1% respectively.Conclusions:The multi-label MRI knee joint exercise-related injury detection model based on deep learning can effectively assist in detecting the exercise-related injury of knee joint in each tissue structure, and is expected to improve the efficiency of diagnosis and treatment in orthopedics.