1.Health literacy prediction models based on machine learning methods: a scoping review
PAN Xiang ; TONG Yingge ; LI Yixuan ; NI Ke ; CHENG Wenqian ; XIN Mengyu ; HU Yuying
Journal of Preventive Medicine 2025;37(2):148-153
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.
2.Infection characteristics of newly reported HIV/AIDS cases in Hangzhou City in 2022
WANG Ling ; XU Ke ; ZHANG Xingliang ; HUANG Sichao ; LI Xiting ; CHEN Junfang
Journal of Preventive Medicine 2025;37(2):123-129
Objective:
To analyze the infection characteristics of newly reported HIV/AIDS cases in Hangzhou City, so as to provide the reference for effective AIDS intervention.
Methods:
Newly reported HIV/AIDS cases in Hangzhou City in 2022 were recruited. Demographic information, HIV testing status, infection routes and sexual behaviors were collected using questionnaire surveys. Blood samples were collected before antiviral treatment, and HIV-1 pol gene sequences were detected to construct molecular transmission networks. The characteristics of HIV/AIDS cases, including infection routes, time, and location were analyzed. Factors affecting infection time and location among HIV/AIDS cases were analyzed using a multivariable logistic regression model.
Results:
A total of 1 007 HIV/AIDS cases were reported in Hangzhou City in 2022, with 907 cases (90.07%) completing questionnaire surveys. Among them, 833 were males (91.84%), and 532 had out-of-province household registrations (58.65%). Ninety-one molecular transmission networks were established, and 276 cases were involved, with homosexual contact as the main infection route (199 cases, 72.10%). There were 311 recently infected cases (35.34%) and 569 previously infected cases (64.66%) among 880 cases whose infection time could be determined. There were 531 locally infected. cases (70.24%) and 225 imported cases (29.76%) among 756 cases whose infection location could be determined. Multivariable logistic regression analysis showed that the HIV/AIDS cases who were identified through voluntary counseling and testing (OR=1.826, 95%CI: 1.055-3.175) and sought sexual partners through homosexual dating apps (OR=2.461, 95%CI: 1.193-5.234) were more likely to be recently infected; the cases who lived in Hangzhou City for more than one year (>1 to 5 years, OR=2.853, 95%CI: 1.552-5.358; >5 years, OR=3.534, 95%CI: 1.382-9.804), sought sexual partners through entertainment venues (OR=3.449, 95%CI: 1.390-8.935), online/social apps (OR=2.416, 95%CI: 1.084-5.488) and homosexual dating apps (OR=3.734, 95%CI: 1.677-8.493) were more likely to be locally infected; student cases were more likely to be infected outside Hangzhou City (OR=0.115, 95%CI: 0.019-0.525).
Conclusions
The newly reported HIV/AIDS cases in Hangzhou City in 2022 were primarily infected through homosexual contact, previously and locally. Seeking sexual partners through homosexual dating apps is an important influencing factor for recent and local infections, highlighting the need for strengthening traceback investigations of related cases.
3.Research on The Role of Dopamine in Regulating Sleep and Wakefulness Through Exercise
Li-Juan HOU ; Ya-Xuan GENG ; Ke LI ; Zhao-Yang HUANG ; Lan-Qun MAO
Progress in Biochemistry and Biophysics 2025;52(1):88-98
Sleep is an instinctive behavior alternating awakening state, sleep entails many active processes occurring at the cellular, circuit and organismal levels. The function of sleep is to restore cellular energy, enhance immunity, promote growth and development, consolidate learning and memory to ensure normal life activities. However, with the increasing of social pressure involved in work and life, the incidence of sleep disorders (SD) is increasing year by year. In the short term, sleep disorders lead to impaired memory and attention; in the longer term, it produces neurological dysfunction or even death. There are many ways to directly or indirectly contribute to sleep disorder and keep the hormones, including pharmacological alternative treatments, light therapy and stimulus control therapy. Exercise is also an effective and healthy therapeutic strategy for improving sleep. The intensities, time periods, and different types of exercise have different health benefits for sleep, which can be found through indicators such as sleep quality, sleep efficiency and total sleep time. So it is more and more important to analyze the mechanism and find effective regulation targets during sleep disorder through exercise. Dopamine (DA) is an important neurotransmitter in the nervous system, which not only participates in action initiation, movement regulation and emotion regulation, but also plays a key role in the steady-state remodeling of sleep-awakening state transition. Appreciable evidence shows that sleep disorder on humans and rodents evokes anomalies in the dopaminergic signaling, which are also implicated in the development of psychiatric illnesses such as schizophrenia or substance abuse. Experiments have shown that DA in different neural pathways plays different regulatory roles in sleep behavior, we found that increasing evidence from rodent studies revealed a role for ventral tegmental area DA neurons in regulating sleep-wake patterns. DA signal transduction and neurotransmitter release patterns have complex interactions with behavioral regulation. In addition, experiments have shown that exercise causes changes in DA homeostasis in the brain, which may regulate sleep through different mechanisms, including cAMP response element binding protein signal transduction, changes in the circadian rhythm of biological clock genes, and interactions with endogenous substances such as adenosine, which affect neuronal structure and play a neuroprotective role. This review aims to introduce the regulatory effects of exercise on sleep disorder, especially the regulatory mechanism of DA in this process. The analysis of intracerebral DA signals also requires support from neurophysiological and chemical techniques. Our laboratory has established and developed an in vivo brain neurochemical analysis platform, which provides support for future research on the regulation of sleep-wake cycles by movement. We hope it can provide theoretical reference for the formulation of exercise prescription for clinical sleep disorder and give some advice to the combined intervention of drugs and exercise.
4.Factors influencing repeat blood donor lapsing in Guangzhou: based on the zero-inflated poisson regression model
Rongrong KE ; Guiyun XIE ; Xiaoxiao ZHENG ; Yingying XU ; Xiaochun HONG ; Shijie LI ; Yongshi DENG ; Jinyu SHEN ; Jinyan CHEN ; Jian OUYANG
Chinese Journal of Blood Transfusion 2025;38(1):73-78
[Objective] To analyze the influencing factors of repeat blood donor lapsing using a zero-inflated poisson regression model (ZIP). [Methods] The blood donation behavior of 12 498 whole blood donors from 2020 was tracked until December 31, 2023. The factors influencing the frequency of blood donations in a given year was analyzed using ZIP, and donors with 0 blood donation in that year were considered to have lapsed. The changes in relevant influencing factors associated with each blood donation were measured and modeled for analysis. [Results] The zero-inflated part of ZIP showed that the risk of lapsing of male blood donors was 2.24 times that of female blood donors (OR 95% CI:1.864-2.696, P<0.001); the risk of lapsing of the 35-44 age group and over 45 age group was respectively 40% (OR 95% CI:0.455-0.790, P<0.001) and 61%(OR 95% CI:0.268-0.578, P<0.001) lower than that of the under 25 age group; the risk of lapsing for those who have donated blood twice and ≥3 times was respectively 50% (OR 95% CI:0.405-0.609, P<0.001) and 81% (OR 95% CI:0.154-0.225, P<0.001) lower than that of first-time donors; the risk of lapsing of those with junior high or high school education was 1.2 times that of those with a college degree or higher (OR 95% CI:1.033-1.384, P<0.05); the risk of lapsing for the divorced group was 2.02 times that of the married group (OR 95% CI:1.445-2.820, P<0.001); the risk of lapsing for those with an income (Yuan) of 10 000 to 50 000, 50 000 to 100 000 and more than 100 000 was respectively 0.67 (OR 95% CI:0.552-0.818, P<0.001), 0.72 (OR 95% CI:0.591-0.884, P=0.002) and 0.67 (OR 95% CI:0.535-0.834, P<0.001) times that of those with an income (Yuan) of less than 10 000. The results of the Poisson part are consistent with the results of the zero-inflated part in terms of age and education level. [Conclusion] Blood donor lapsing is overall related to factors such as gender, age, donation frequency, education, marital status and family income. It's essential to care for those blood donors prone to lapse to retain more regular blood donors.
5.Effects and mechanisms of swimming for inhibiting traumatic joint contracture in a rat model
Xiaoping SHUI ; Chunying LI ; Xin ZHANG ; Bin LI ; Chao FENG ; Hongyu ZHOU ; Ke CHEN ; Yingying LIAO
Chinese Journal of Tissue Engineering Research 2025;29(2):262-268
BACKGROUND:Early exercise treatment is the main prevention way for traumatic joint contracture and is also a research focus.Swimming may be a potential intervention for joint contracture due to the special physical properties of water. OBJECTIVE:To explore the effects of swimming on the development of joint contracture in a rat model and study its mechanisms. METHODS:Twenty-four Sprague-Dawley rats were randomly divided into a blank control group(n=8)and a joint contracture group(n=16).After the surgical operation of knee joint contracture rat models,the joint contracture group was randomly subdivided into a surgical control group(n=8)and a swimming treatment group(n=8).Swimming started in the swimming treatment group in the second week after surgery and lasted for a total of 5 weeks.At the 6th week after surgery,the body mass,knee joint range of motion,and quadriceps diameter were tested,and the diameter/body mass index was calculated.Hematoxylin-eosin staining was performed to detect the pathological changes in the knee joint capsule and quadriceps muscle,and Masson staining was used to observe fibrotic changes in the knee joint capsule.Furthermore,the protein expression of transforming growth factor β1 and type I collagen in the knee joint capsule was quantified by immunohistochemical assay and western blot was performed to detect the protein expression of MuRF1 in the quadriceps femoris. RESULTS AND CONCLUSION:Compared with the blank control group,the knee range of motion decreased in the surgical control and swimming treatment groups(P<0.01),and knee extension deficit and arthrogenic extension deficit were significantly increased(P<0.01),the diameter of the quadriceps muscle was decreased(P<0.01),the joint capsule showed significant fibrosis,the quadriceps muscle was atrophied,and the diameter/body mass index was decreased(P<0.01).Compared with the surgical control group,the swimming treatment group showed a significant increase in knee joint range of motion and quadriceps diameter(P<0.01),and significant improvement in joint capsule fibrosis and quadriceps atrophy.Compared with the blank control group,collagen fiber content and expression of transforming growth factor β1 and type I collagen were increased in the joint capsule of rats in both the surgical control group and the swimming treatment group(P<0.01).Compared with the surgical control group,collagen fiber content and expression of transforming growth factor β1 and type I collagen protein in the joint capsule were decreased in the swimming treatment group.Compared with the blank control group,the expression of MuRF1 protein in the quadriceps muscle of rats in the surgical control group and the swimming treatment group was increased(P<0.05).Compared with the surgical control group,the expression of MuRF1 protein in the quadriceps muscle of rats in the swimming treatment group was decreased(P<0.05).To conclude,early swimming intervention reduces transforming growth factor β1 and type I collagen expression in the joint capsule of traumatic joint contracture rats,decreases MuRF1 expression in the quadriceps muscle,and increases joint range of motion and quadriceps diameter,thereby inhibiting the development of joint contracture.
6.Deep learning for accurate lung artery segmentation with shape-position priors
Chao GUO ; Xuehan GAO ; Qidi HU ; Jian LI ; Haixing ZHU ; Ke ZHAO ; Weipeng LIU ; Shanqing LI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(03):332-338
Objective To propose a lung artery segmentation method that integrates shape and position prior knowledge, aiming to solve the issues of inaccurate segmentation caused by the high similarity and small size differences between the lung arteries and surrounding tissues in CT images. Methods Based on the three-dimensional U-Net network architecture and relying on the PARSE 2022 database image data, shape and position prior knowledge was introduced to design feature extraction and fusion strategies to enhance the ability of lung artery segmentation. The data of the patients were divided into three groups: a training set, a validation set, and a test set. The performance metrics for evaluating the model included Dice Similarity Coefficient (DSC), sensitivity, accuracy, and Hausdorff distance (HD95). Results The study included lung artery imaging data from 203 patients, including 100 patients in the training set, 30 patients in the validation set, and 73 patients in the test set. Through the backbone network, a rough segmentation of the lung arteries was performed to obtain a complete vascular structure; the branch network integrating shape and position information was used to extract features of small pulmonary arteries, reducing interference from the pulmonary artery trunk and left and right pulmonary arteries. Experimental results showed that the segmentation model based on shape and position prior knowledge had a higher DSC (82.81%±3.20% vs. 80.47%±3.17% vs. 80.36%±3.43%), sensitivity (85.30%±8.04% vs. 80.95%±6.89% vs. 82.82%±7.29%), and accuracy (81.63%±7.53% vs. 81.19%±8.35% vs. 79.36%±8.98%) compared to traditional three-dimensional U-Net and V-Net methods. HD95 could reach (9.52±4.29) mm, which was 6.05 mm shorter than traditional methods, showing excellent performance in segmentation boundaries. Conclusion The lung artery segmentation method based on shape and position prior knowledge can achieve precise segmentation of lung artery vessels and has potential application value in tasks such as bronchoscopy or percutaneous puncture surgery navigation.
7.Effect of Various Factors on Non-suicidal Self-injury in Adolescent Depression
Yi MIAO ; Junyi LI ; Peishan HUANG ; Ke WANG ; Xuelin ZHANG ; Qiangli DONG
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(1):123-131
ObjectiveTo investigate the non-suicidal self-injury (NSSI) behaviors in adolescents with depressive disorder, analyze related influencing factors, and provide theoretical basis and reference for the prevention and treatment of NSSI. MethodsAccording to DSM-5 criteria, 95 depressive adolescents were divided into two groups: one with NSSI (NSSI group) and one without NSSI (nNSSI group). All patients were assessed with Adolescent Non-suicidal Self-injury Assessment Questionnaire (ANSAQ), Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), Simplified Coping Style Questionnaire (SCSQ), Experiences in Close Relationships-Relationship Structures Scale (ECR-RS), and Childhood Trauma Questionnaire-Short Form (CTQ-SF). The inter-group differences were compared. The influencing factors of NSSI were analyzed by using binary logistic regression. ResultsOf the 95 depressive adolescents, 59 cases of NSSI were identified, with a detection rate of 62.11%. NSSI group had higher scores than nNSSI group on SDS, SAS, negative coping style, paternal attachment anxiety, maternal attachment anxiety and avoidance, CTQ-SF total score, emotional neglect, physical neglect, emotional abuse, and sexual abuse (all P<0.05). Binary logistic regression analysis showed that anxiety, negative coping style, maternal attachment avoidance and emotional abuse increased the risk of NSSI among adolescents with depressive disorders (all P< 0.05). ConclusionsAdolescents with depression have a high incidence of NSSI behaviors, which is related to anxiety, negative coping style, maternal attachment avoidance and emotional abuse. In addition to improving patients' depression and anxiety in clinical setting, attention should also be paid to patients' coping styles, parent-child relationship and childhood trauma to reduce the occurrence of NSSI behaviors.
8.Effects of honey-processed Astragalus on energy metabolism and polarization of RAW264.7 cells
Hong-chang LI ; Ke PEI ; Wang-yang XIE ; Xiang-long MENG ; Zi-han YU ; Wen-ling LI ; Hao CAI
Acta Pharmaceutica Sinica 2025;60(2):459-470
In this study, RAW264.7 cells were employed to investigate the effects of honey-processed
9.The application strategies of non-uniform sampling in the structure elucidation of small molecule compounds—an instantiation using fuziline
Li-li ZHANG ; Ke ZHANG ; Jie LIU ; Chun-wang MENG ; Rui FENG ; Liang XIONG
Acta Pharmaceutica Sinica 2025;60(1):218-224
Two-dimensional nuclear magnetic resonance (2D NMR) is a widely used technique for structural analysis of small molecular compounds. It can obtain information about the hydrogen-hydrogen correlation, hydrogen-carbon single bond correlation, hydrogen-carbon remote correlation, and hydrogen-hydrogen spatial arrangement of compounds. Thus, 2D NMR has an irreplaceable role in the structure elucidation of small molecular products. However, the sample amount of trace components in phytochemical research is very low, and the traditional sampling method (uniform sampling) has problems of poor spectral quality and too long measure time. Increasing the number of scans results in several hours of the acquisition time for a single two-dimensional spectrum, which in turn causes strain on the NMR machine. The non-uniform sampling (NUS) technique can shorten the acquisition time to a large extent and not affect the quality of 2D NMR data, which greatly improves the efficiency of 2D NMR acquisition. In this paper, fuziline, a small molecular compound in the lateral roots of
10.A new glycoside from Alstonia mairei Lévl.
Li-ke WANG ; Bing-yan LI ; Zhen-zhu ZHAO ; Yan-zhi WANG ; Xiao-kun LI ; Wei-sheng FENG ; Ying-ying SI
Acta Pharmaceutica Sinica 2025;60(1):191-195
Nine compounds were isolated and purified from 90% ethanol extract of


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