Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. Methods: Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed. Results: A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination. Conclusion Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.

Background At present, the treatment of silicosis is still limited, and no method is available to cure the disease. miRNAs are involved in the process of fibrosis at the transcriptional level by directly degrading target gene mRNA or inhibiting its translation. However, how miR-130a-3p regulates silicosis fibrosis has not been fully elucidated yet. Objective To investigate whether miR-130a-3p promotes epithelial-mesenchymal transition (EMT) by inhibiting peroxisome proliferators-activated receptors gamma (PPAR-γ), thereby pro-moting the process of silicotic fibrosis. To identify effective new targets for the treatment of silicotic fibrosis. Methods (1) Animal experiments: C57BL/6J mice were intratracheally injected with a one-time dose of 10 mg silica suspension (dissolved in 100 μL saline) as positive lung exposure. A silicosis model group was established 28 d after the exposure. A control group was injected with the same amount of normal saline into the trachea. Hematoxylin-eosin staining and Sirius red staining were used to observe the pathological changes and collagen deposition in lung tissues respectively. Realtime fluorescence-based quantitative polymerase chain reaction (RT-qPCR) was used to assay the expression of miR-130a-3p and PPAR-γ mRNA in lung tissues. Western blotting was used to detect the protein expression of PPAR-γ, transforming growth factor (TGF)-β1, E-cadherin, α-smooth muscle actin (α-SMA), and Collagen Ⅰ in lung tissues. (2) Cells experiments: Mouse lung epithelial cells (MLE-12) were induced with 5 µg·L⁻¹ TGF-β1 for different time (0, 12, 24, 48 h). RT-qPCR was used to detect the expression of miR-130a-3p and PPAR-γ mRNA in cells. The binding relationship between miR-130a-3p and PPAR-γ mRNA was verified by dual luciferase reporter gene assay. MLE-12 cells were stimulated by 5 µg·L⁻¹ TGF-β1 after transfection of miR-130a-3p inhibitor, and Western blotting was used to measure the protein expression of PPAR-γ, E-cadherin, and α-SMA in the TGF-β1-induced cells. Results In the silicosis model group, the alveolar septum was widened and the pulmonary nodules were formed. The Sirius red staining collagen deposition in pulmonary nodules indicated that a silicosis fibrosis model was successfully established. The expressions of TGF-β1, α-SMA, and Collagen Ⅰ proteins were increased, and the expressions of E-cadherin and PPAR-γ proteins were decreased in lung tissues of the silicosis group, compared with the control group (P<0.05 or P<0.01). The expression of miR-130a-3p was increased and the expression of PPAR-γ mRNA was decreased in lung tissues of the silicosis model (P<0.01). The expression of miR-130a-3p was significantly increased, while the expression of PPAR-γ mRNA was decreased in the TGF-β1 induced MLE-12 cells (P<0.05 or P<0.01). The dual luciferase reporter assay showed a direct relationship between miR-130a-3p and PPAR-γ mRNA in MLE-12 cells. The transfection of miR-130a-3p inhibitor in the TGF-β1 induced MLE-12 cells inhibited the decrease of PPAR-γ and E-cadherin proteins, and the increase of α-SMA protein in the MLE-12 cells induced by TGF-β1 (P<0.05 or P<0.01). Conclusion miR-130a-3p promotes the development of silicosis fibrosis by targeting PPAR-γ to increase pulmonary EMT.

ObjectiveTo explore the therapeutic mechanism of Buchong Tiaojing prescription for rats with diminished ovarian reserve （DOR） from the perspectives of nucleotide-binding oligomerization domain （NOD）-like receptor protein 3 （NLRP3） inflammasome and ferroptosis. MethodsA total of 48 female SD rats were randomly divided into a normal group， a model group， low， medium， and high dose groups of Buchong Tiaojing prescription， and an MCC950 group， with eight rats in each group. Except the normal group， all the other groups were injected subcutaneously on the back of the neck with D-galactose to prepare the DOR rat model. From the 15th day of modeling， the rats in the low， medium， and high dose groups of Buchong Tiaojing prescription were subjected to gavage daily at doses of 14.4， 28.8， 57.6 g·kg^-1， respectively. Rats in the MCC950 group were injected intraperitoneally with MCC950 at a dose of 10 mg·kg^-1， once every other day. The interventions of all the groups lasted for 4 weeks. The estrous cycle of the rats was observed with vaginal exfoliated cell smear. Hematoxylin-eosin （HE） staining was performed to observe the development of follicles and corpus luteum in the ovary. Enzyme-linked immunosorbent assay （ELISA） was performed to detect the levels of serum sex hormones and interleukin-1β （IL-1β）. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot assay were performed to detect the mRNA and protein expression of NLRP3 inflammasome， acyl-CoA synthetase long-chain family member 4 （ACSL4）， transferrin receptor 1 （TFR1）， and glutathione peroxidase 4 （GPX4）， and oxidative stress kits were used to detect ovarian superoxide dismutase （SOD） and malondialdehyde （MDA） levels. ResultsDuring the experiment， one rat died in the high dose group of Buchong Tiaojing prescription， and a total of 47 rats were finally included in the index tests and statistics. Compared with those in the normal group， rats in the model group had significantly disturbed estrous cycles， increased number of atretic follicles， and significant disorder of serum sex hormones. The mRNA and protein expression of NLRP3 inflammasome， ACSL4， and TFR1 in ovarian tissue was up-regulated （P<0.01）， while that of GPX4 was significantly down-regulated （P<0.01）. The SOD content in the ovary was decreased significantly， while the MDA level was increased （P<0.01）. After drug intervention， the estrous cycle of rats was basically resumed， and the follicles at all levels were more structurally intact and significantly increased in number. Additionally， the levels of serum sex hormones and IL-1β were significantly improved. The mRNA and protein expression of NLRP3 inflammasome， ACSL4， and TFR1 were down-regulated， while that of GPX4 was significantly up-regulated， and the ovarian oxidative stress was alleviated （P<0.05， P<0.01）， especially in the high dose group of Buchong Tiaojing prescription and the MCC950 group. ConclusionInflammatory injury and ferroptosis occur in the ovaries of DOR rats， and the Buchong Tiaojing prescription is able to inhibit ovarian NLRP3 inflammasome， alleviate the degree of ovarian ferroptosis， and improve ovarian reserve.

Liumotang comes from the Yuan dynasty's Effective Prescription Handed Down for Generations of Physicians. It is composed of six medicinal materials： Arecae Semen， Aquilariae Lignum Resinatum， Aucklandiae Radix， Linderae Radix， Rhei Radix et Rhizoma， and Aurantii Fructus. It is a classical formula for treating abdominal pain due to Qi stagnation and constipation accompanied by heat. This study systematically collated the records of Liumotang in ancient medical books and modern clinical literature and conducted in-depth analysis and textual research on its formula source， main diseases， composition， dosage， medical books， container capacity， processing， preparation method， usage， drug basis， formula meaning， and other key information， so as to provide a powerful reference for the development and clinical application of compound preparations of the classical formula Liumotang. The results show that Liumotang was first seen in Effective Prescription Handed Down for Generations of Physicians， and many medical books of the past dynasties have imitated this. In terms of drug basis， the dried and mature seeds of the palm plant Areca catechu， resin-containing wood of the Daphneaceae plant Aquilaria sinensis， the dried roots of the Asteraceae plant woody Aucklandia lappa， the dried tuber root of the Lauraceae plant Lindera aggregata， the dried roots and rhizomes of the knotweed plant， R. palmatum， R.tangutikum， and R. officinale， and the dried and unripe fruits of the citrus genus C. aurantium and its cultivated varieties from the family Rutaceae were selected. In terms of dosage， through the textual research on bowls in the Ming and Qing dynasties， combined with the conversion of medicines and bowl capacity in the Qing dynasty， it was estimated that the dosage of each drug in the Yuan dynasty was 10.86 g. In the Ming and Qing dynasties， the dosage of drugs was mostly equal， but the dosage of drugs was somewhat different. In terms of processing， preparation method， and usage， in the medical books of the past dynasties， the processing of drugs has slightly changed， but raw drugs are used in all preparations. The preparation method and usage did not change much during the Yuan， Ming， and Qing dynasties， except for certain differences in dosage. In terms of syndrome， Liumotang was first used to treat abdominal pain due to Qi stagnation and constipation accompanied by heat. Medical books of the past dynasties often omit the symptoms of heat. In modern clinical practice， Liumotang is mainly used in the digestive system and urinary system diseases and is mostly used to treat constipation-predominant irritable bowel syndrome， biliary reflux gastritis， functional constipation， slow transit constipation， and other diseases， with no adverse reactions found yet. The above results provide a reliable scientific basis for the development and clinical treatment of Liumotang compound preparations.

OBJECTIVE To provide reference for the establishment and improvement of the regulatory system of patients’ medicine instructions in China. METHODS Through searching the official website of the European Medicines Agency （EMA） and related literature， the definition， basic nature， and content of patients’ medicine instructions in the European Union were introduced， and the characteristics of the management system of patients’ medicine instructions in the European Union were analyzed in terms of the management department， approval and change procedures， readability requirements and information accessibility requirements. At the same time， the pilot situation of patients’ medicine instructions in China， as well as problems in the paths of classification and management， readability of content， and information timeliness were analyzed to put forward suggestions. RESULTS & CONCLUSIONS European Union had a dedicated department for the management of medicine instructions； the approval and change procedures for patients’ medicine instructions were clear， the readability requirements were detailed， the readability verification program with patient participation was established， and multi-channel and timely information disclosure was adopted. It is recommended that China establish a mechanism to categorize and manage professionals’ and patients’ medicine instructions， guide multiple parties to participate in the design of patients’ medicine instructions and refine the readability requirements， and improve the mechanism for disclosure of medicine instructions to enhance the timeliness of medication information.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

The major histocompatibility complex plays a crucial role in the immune response process, which is closely related to the occurrence and development of tumors and organ transplantation. Cellular immunity occupies an important position in tumor immunity and organ transplantation immunity, while humoral immunity also plays a significant role in organ transplantation immunity. Organ transplantation requires the induction and maintenance of immune tolerance, while tumors develop immune escape phenomena during their progression. In-depth exploration and comparison of the mechanisms of tumor immune escape and organ transplantation immune tolerance are of great significance for formulating reasonable immune tolerance induction strategies, improving the quality of life and prolonging the survival time of organ transplant patients.

Objective: To understand the changing trends and related factors of knowledge, attitude and practice (KAP) regarding the three major infectious diseases (acquired immunodeficiency syndrome, tuberculosis, hepatitis B) among freshmen in Jiangsu from 2019 to 2022, so as to provide a reference basis for the health education of infectious diseases in schools. Methods: From 2019 to 2022, a total of 33 944 freshmen from 20 universities in Jiangsu Province were randomly selected for four consecutive years to investigate their KAP levels online through self designed questionnaires on three major infectious diseases. The multiple linear regression model was used to analyze the changing trends of students KAP levels of the three major infectious diseases, and to explore the influencing factors of KAP. Results: From 2019 to 2022, the knowledge scores(18.0±3.1,18.4±3.2,18.7±3.2,18.8±3.2), related to the three major infectious diseases showed an upward trend ( F=436.50, P <0.01), and the positive attitude reporting rates were 81.77%, 81.46%, 82.68% and 81.74%, respectively. The reporting rates of positive practice were 80.11%, 79.25%, 79.08 % and 79.04%, respectively. Multiple linear regression showed that school type, parental education level, mother s occupation, average income per person in family and living arrangements during high school all had an impact on the knowledge ( β = -1.510 -0.559), attitudes ( β =-0.043-0.065) and practice ( β =-0.028-0.027) of the three major infectious diseases ( P < 0.05 ). The family residence areas only affected the reporting rate of positive attitude scores ( β =0.002-0.065), and whether only children or not affected the reporting rate of positive practice scores ( β =0.009)( P <0.05). The knowledge score showed an upward trend ( β= 0.297, P <0.01), the positive attitude reporting rate showed no statistically significant change ( β=0.001, P =0.22), and the positive practice reporting rate showed a downward trend ( β=-0.005, P <0.01). Conclusions Freshman in Jiangsu Province from 2019 to 2022 have shown a separation in KAP scores regarding the three major infectious diseases. Targeted measures should be taken to improve their health practice level.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.