Objective: To explore the dynamic developmental trajectories of college students class belongingness during their college years and its longitudinal predictive effects on depressive symptoms, so as to provide targeted insights for precise campus psychological interventions. Methods: In October 2021 (T1), a total of 4 720 college students from a university in Shandong Province were selected by cluster sampling method and followed up for 3 years. Surveys were conducted annually (T2: October 2022, T3: October 2023, T4: October 2024). The Class Belongingness Scale and Patient Health Questionnaire-9 (PHQ-9) were used to assess students class belongingness and depressive symptoms. Latent growth mixture modeling was employed to identify trajectories of class belonging, and multinomial Logistic regression analysis was used to examine the predictive effects of these trajectory classes on depressive symptoms. Results: Mean scores of class belongingness across T1-T4 were (73.24±11.95, 74.76±12.25, 75.25±12.38, 77.64±11.63), and the scores of depressive symptoms were [1.00 (0, 5.00), 0 (0, 3.00), 0 (0, 2.00), 0 (0, 2.00)]. The developmental trajectories of class belongingness were categorized into three types: the high-starting ascending group ( 56.61 %), the low-starting descending group (11.91%), and the medium-starting stable group (31.48%). Multinomial Logistic regression analysis showed that, compared to the medium-starting stable group, the high-starting ascending group had a lower probability of developing mild depressive symptoms ( OR=0.27, 95%CI =0.15-0.47) and moderate or above depressive symptoms ( OR=0.29, 95% CI = 0.14-0.60) (both P <0.05). Conversely, the low-starting descending group had a higher probability of developing mild depressive symptoms ( OR=2.31, 95%CI =1.65-3.22) and moderate or above depressive symptoms ( OR=7.49, 95%CI = 3.82-14.69) (both P <0.05). Conclusion Declining trajectory of class belongingness is a risk factor for depressive symptoms, while sustained upward trend may mitigate such risks.

Background: Diabetic peripheral neuropathy (DPN) is a common chronic complication of diabetes mellitus that significantly impairs patients’ quality of life. Traditional Chinese medicine (TCM), as a major component of complementary and alternative medicine, has accumulated numerous effective formulas for the clinical management of DPN. However, systematic approaches for optimizing TCM formulas remain limited. Objective: To establish a pathway-oriented approach for TCM formula optimization and to evaluate the efficacy and mechanisms of the optimized formula in DPN. Methods: We developed 2 formula optimization algorithms that defined pathway-oriented herbal correlation (HC) and herbal contribution (HO) to screen and construct a new herbal formula, Qihongtongbi (QHTB), for treating Qi deficiency and blood stasis syndrome complicated with DPN. An animal experiment was subsequently conducted to evaluate the therapeutic effectiveness of QHTB. A total of 32 specific-pathogen-free male ob/ob mice (18–20 g) were randomly divided into 4 groups: model, Mudan Granules (MDG), QHTB low- and high-dose groups (n = 8). Ten male C57BL/6J mice (18–20 g) served as the control group. Metabolomics analysis was further employed to elucidate the biological mechanisms underlying the effects of QHTB. Results: Based on our previous study on TCM medication patterns for treating DPN, 22 candidate herbs were selected for formula optimization. The top 5 candidate herbs (total HC = 25.24 × 10 ) exhibited HC values comparable to those of MDG (total HC = 26.1 × 10 ). These herbs were Carthamus tinctorius L. (HC = 5.40 × 10 ), Astragalus mongholicus Bunge (HC = 5.23 × 10 ), Salvia miltiorrhiza Bunge (HC = 5.15 × 10 ), Commiphora myrrha (T. Nees) Engl. (HC = 5.02 × 10 ), and Glycyrrhiza glabra L. (HC = 4.44 × 10 ). HO analysis showed that the cumulative HO of these 5 herbs exceeded 50%. In vivo experiments demonstrated that, compared with the model group, QHTB significantly lowered blood glucose (P < 0.05), enhanced nerve conduction velocity (P < 0.01), improved nociceptive hypersensitivity (P < 0.01), and ameliorated sciatic nerve morphology, with efficacy comparable to MDG. Serum and fecal metabolomics further revealed that QHTB exerted multipathway regulatory effects, among which nicotinate and nicotinamide metabolism represented a key mechanism. Conclusion: In summary, this study provides a methodological reference for the systematic optimization of TCM formulas.

Bone remodeling is essential for maintaining skeletal integrity and mineral homeostasis and depends on the coordinated activities of osteoclasts, osteoblasts, and osteocytes. Osteoclast-mediated bone resorption must remain closely coupled with osteoblast-mediated bone formation, while osteocytes continuously sense mechanical loading and changes in the local and systemic environment. Reactive oxygen species are involved in these physiological processes, particularly in the regulation of osteoclast differentiation and osteoblast function. Once oxidative stress exceeds the capacity of cellular antioxidant systems, however, this balance may be disturbed, leading to enhanced bone resorption, impaired bone formation, and deterioration of bone quality. In recent years, ferroptosis has attracted increasing attention in studies of bone metabolism. Ferroptosis is characterized by iron-dependent accumulation of lipid peroxides, but ferroptosis-related alterations in bone tissue may occur before obvious cell death becomes detectable. Changes in the labile iron pool, membrane lipid composition, antioxidant capacity, and mitochondrial metabolism can already influence the biological behavior of bone cells at an earlier stage. On this basis, ferroptosis susceptibility may provide a useful way to describe a reversible metabolic state in which cells become increasingly vulnerable to lipid peroxidation while widespread membrane damage and terminal cell death have not yet occurred. Such a state should not be identified by a single molecular marker. A more appropriate assessment would combine changes in intracellular iron handling, lipid peroxidation, antioxidant defense, cell viability, bone-cell function, and the response to ferroptosis-related interventions. Measurements of Fe²⁺ or the labile iron pool, C11-BODIPY oxidation, 4-HNE and MDA, GPX4 activity or expression, GSH/GSSG balance, LDH release, and PI staining may therefore provide complementary information when interpreted together with functional changes and rescue experiments. Several metabolic processes may contribute to the development of ferroptosis susceptibility in the bone. Disturbances in iron uptake, ferritin storage, ferritinophagy, and ferroportin-mediated iron export can increase the availability of redox-active iron. At the same time, ACSL4- and LPCAT3-dependent incorporation of polyunsaturated fatty acids into membrane phospholipids increases the pool of oxidizable lipid substrates. Reduced activity of the system Xc^--GSH-GPX4 pathway further weakens the ability of cells to remove lipid hydroperoxides, while FSP1-CoQ and mitochondrial DHODH-CoQ systems provide additional antioxidant protection. Mitochondrial dysfunction, inflammation, and abnormalities in calcium-phosphate and endocrine regulation may further increase this metabolic pressure. Importantly, the consequences are unlikely to be identical among bone-cell populations. In osteoclasts, increased iron availability and oxidative stress may strengthen RANKL-NFATc1-associated differentiation and resorptive activity. In osteoblasts, persistent lipid peroxidation may interfere with RUNX2-related differentiation, collagen synthesis, matrix production, and mineralization before extensive cell loss occurs. Osteocytes, because of their long lifespan and specialized location within the mineralized matrix, may be particularly sensitive to chronic metabolic stress, resulting in impaired mechanosensing and disturbed RANKL- or FGF23-related feedback. Evidence linking these changes with osteoporosis, diabetes-related bone disorders, chronic kidney disease-mineral and bone disorder, inflammatory bone loss, and particle-induced osteolysis is increasing, although the strength of evidence differs among disease models. Changes in ROS, MDA, GPX4, or other individual indicators alone are insufficient to demonstrate ferroptosis-related susceptibility, and stronger conclusions require evidence of iron dependence, lipid peroxidation, temporal sequence, and reversibility. Emerging single-cell, spatial, proteomic, lipidomic, and metabolomic approaches may help identify susceptible cell populations and bone-remodeling regions more precisely, although the mineralized matrix and the effects of sample processing remain important technical limitations. Overall, ferroptosis susceptibility may represent an intermediate metabolic state linking disturbances in iron and redox homeostasis with progressive uncoupling of bone resorption and formation. Clarifying its cell-specific features, temporal development, and reversible window may improve our understanding of how chronic metabolic stress contributes to bone remodeling disorders and may also provide a basis for earlier and more targeted intervention.

Post-traumatic stress disorder (PTSD) is a relatively common but complex mental illness with a range of diverse risk factors. Typical symptoms include the re-experience or avoidance of traumatic events, cognitive impairment, and hypervigilance. While the exact pathogenesis of PTSD is unclear, many studies indicate that epigenetic regulation plays a key role in its development. Specifically, numerous studies have indicated that the levels of histone acetylation and methylation, DNA methylation, and noncoding RNA are altered in PTSD patients. Further to this, natural products have been found to achieve epigenetic regulation of PTSD by regulating the expression of epigenetic enzymes, long noncoding RNA (lncRNA), and miRNA, thereby playing a role in improving PTSD symptoms. To date, however, no epigenetic regulation related drugs have been used in the treatment of PTSD. Furthermore, while natural products that can epigenetically regulate PTSD have received increasing levels of attention, there have not yet been any systematic reports on the topic. Here, we summarized the roles and mechanisms of natural products in the epigenetic regulation of PTSD, providing a novel and unique perspective that will help to guide the development and application of new PTSD treatments.

OBJECTIVE: To evaluate the effectiveness of free medial femoral condyle (MFC) functional chimeric perforator flap (FCPF) transplantation in reconstructing joint function by repairing concomitant osteochondral defects and soft tissue defect in hand and foot joints. METHODS: A retrospective analysis was performed on 6 patients (5 males, 1 female; mean age of 33.4 years, range 21-56 years) with traumatic osteochondral joint defects and associated tendon, nerve, and soft tissue defects treated between January 2019 and November 2024. Defect locations included metacarpal heads (n=2), metacarpophalangeal joint (n=1), first metatarsal head (n=1), base of first proximal phalanx (n=1), and talar head (n=1), with soft tissue defects in all cases. Osteochondral defect sizes ranged from 1.5 cm×1.2 cm×0.7 cm to 4.0 cm×0.6 cm×0.6 cm, and skin defects ranged from 4 cm×3 cm to 13 cm×4 cm. The stage Ⅰ treatment included debridement, antibiotic-loaded bone cement filling of bone-cartilage defects, fracture internal fixation, and coverage with vacuum sealing drainage. Stage Ⅱ involved harvesting a free MFC- FCPF included an osteochondral flap (range of 1.5 cm×1.2 cm×0.7 cm to 4.0 cm×0.6 cm×0.6 cm), gracilis and/or semitendinosus tendon grafts (length of 4-13 cm), saphenous nerve graft (length of 3.5-4.0 cm), and a perforator skin flap (range of 6 cm×4 cm to 14 cm×6 cm), each with independent vascular supply. The flap was transplanted to reconstruct joint function. Donor sites were closed primarily or with skin grafting. Flap survival was monitored postoperatively. Radiographic assessment was used to evaluate bone/joint healing. At last follow-up, the joint function recovery was assessed. RESULTS: All 6 MFC-FCPF survived completely, with primary healing of wounds and donor sites. All patients were followed up 6-44 months (mean, 23.5 months). The flaps at metacarpophalangeal joint in 1 case and at ankle joint in 1 case were treated with degreasing repair because of their bulky appearance, while the other flaps had good appearance and texture. At 3 months after operation, the visual analogue scale (VAS) score for pain during joint movement of recipient site was 0-2, with an average of 0.7; at last follow-up, the VAS score of the donor site was 0-1, with an average of 0.3. According to the Paley fracture healing scoring system, the osteochondral healing of all the 6 patients was excellent. The range of motion of the metacarpophalangeal joint in 3 cases was 75%, 90%, and 100% of contralateral side respectively, the range of motion of the metatarsophalangeal joint in 2 cases was 65% and 95% of contralateral side respectively, and the range of motion of the ankle joint in 1 case was 90% of contralateral side. The hand function was evaluated as excellent in 2 cases and good in 1 case according to the upper limb function evaluation standard of the Chinese Medical Association Hand Surgery Society, and the foot function was evaluated as excellent in 2 cases and fair in 1 case according to the Maryland foot function score of 93, 91, and 69, respectively. The International Knee Documentation Committee (IKDC) score of 6 knees was 91-99, with an average of 95.2. CONCLUSION The free MFC-FCPF enables precise anatomical joint reconstruction with three-dimensional restoration of tendon, nerve, capsule, and soft tissue defects, effectively restoring joint function and improving quality of life.
Humans ; Male ; Adult ; Female ; Middle Aged ; Retrospective Studies ; Plastic Surgery Procedures/methods* ; Soft Tissue Injuries/surgery* ; Perforator Flap/blood supply* ; Femur/surgery* ; Young Adult ; Foot Joints/injuries* ; Treatment Outcome

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Objective: To explore the intervention effects of high intensity interval training (HIIT) on glucose metabolism, cortisol (Cor), and sleep quality among college students with comorbid depressive symptoms and obesity, so as to provide a reference for improving sleep quality among college students with comorbid depressive symptoms and obesity. Methods: In March 2023, 45 college students with comorbid depressive symptoms and obesity were recruited and randomly assigned to an exercise group ( n =23) and a control group ( n =22) by random number table method. The exercise group received HIIT intervention for 12 weeks, three times a week, while the control group received no intervention. Blood samples were collected from participants to measure fasting insulin (FINS), fasting blood glucose (FBG), homeostatic model assessment of insulin resistance (HOMA-IR), Cor, and Pittsburgh Sleep Quality Index (PSQI) before and after intervention. Statistical analysis was performed using t-test, repeated measures analysis of variance (ANOVA), simple effect analysis. Results: The repeated measures ANOVA revealed statistically significant time×group interaction effects for body composition (weight, body mass index, percentage of body fat, fat mass, waist to hip ratio), depressive symptoms, PSQI scores and its subdimensions (subjective sleep quality, sleep onset time, sleep efficiency, sleep disorders, daytime dysfunction), as well as FBG, FINS, and HOMA-IR between the exercise group and control group before and after intervention ( F =7.10-53.38, all P <0.05). Simple effect analysis showed that compared to the control group, the exercise group demonstrated significant improvements in body composition (body mass index, fat mass, waist to hip ratio), depressive symptoms, PSQI scores and its sub dimensions (subjective sleep quality, sleep onset time, sleep efficiency, sleep disorders, daytime dysfunction), FBG, FINS, HOMA-IR, and Cor (all P <0.05). Conclusion HIIT can improve the sleep quality of college students with comorbid depressive symptoms and obesity by enhancing glucose metabolism and regulating Cor levels.

Objective To investigate the effects of indirect moxibustion on the expressions of DNA methyltransferases(DNMT)and methylation of the brain-derived neurotrophic factor(BDNF)promoter region in uterine tissues of rats with primary dysmenorrhea(PD);To explore the mechanism of epigenetic regulation of indirect moxibustion on PD model rats.Methods A total of 32 female SD rats were randomly divided into blank group,model group,indirect moxibustion group and Western medicine group,with 8 rats in each group.The PD model with cold dampness stagnation syndrome was established using ice-water baths combined with estradiol benzoate and oxytocin.Starting from the first day of modeling,the indirect moxibustion group received salt-partitioned moxibustion at"Shenque"and ginger-partitioned moxibustion at"Guanyuan"for 20 min,while the Western medicine group was gavaged ibuprofen solution.Both interventions were given once a day for 10 days.On day 11,writhing responses were observed and scored after oxytocin injection,Western blot and RT-qPCR were used to detect protein and mRNA expression of BDNF,DNMT3A and DNMT3B in uterine tissue,immunohistochemical staining was used to detect the positive expressions of DNMT3A and DNMT3B in uterine tissue.The DNA methylation of BDNF promoter region in uterine tissue was detected by sulfite sequencing.Results Compared with the blank group,the writhing latency was shortened and the writhing score increased in the model group(P<0.01);the protein and mRNA expressions of BDNF,DNMT3A and DNMT3B in uterine tissue increased(P<0.01),the positive expressions of DNMT3A and DNMT3B increased(P<0.01),and the DNA methylation rate in BDNF promoter region decreased(P<0.01).Compared with the model group,the writhing latency was lengthened and the writhing score decreased in the indirect moxibustion group and Western medicine group(P<0.05,P<0.01);the protein and mRNA expressions of BDNF,DNMT3A and DNMT3B in uterine tissue decreased(P<0.05,P<0.01),the positive expressions of DNMT3A and DNMT3B decreased(P<0.01),and the DNA methylation rate in BDNF promoter region increased(P<0.01).Conclusion Indirect moxibustion at"Shenque"and"Guanyuan"may inhibit the transcription of BDNF by increasing the DNA methylation level of BDNF promoter region,and reduce the expression of BDNF,so as to relieve the pain of PD rats.

BACKGROUND:The patient underwent multiple hypoproteinemia after total hip arthroplasty,which affected postoperative healing and rehabilitation.OBJECTIVE:To investigate and screen the risk factors for hypoproteinemia after total hip arthroplasty,and to establish a nomogram prediction model so as to provide guidance for judging whether hypoproteinemia occurs after total hip arthroplasty.METHODS:A total of 355 patients who underwent total hip arthroplasty were included,and according to whether hypoproteinemia occurred on the first day after surgery,they were divided into 238 cases in the hypoproteinemia group and 117 cases in the normal group,with a hypoproteinemia rate of 67％.Data were collected,including age,gender,diabetes mellitus,hypertension,hyperuricemia,hyperlipidemia,anesthesia method,preoperative leukocytes,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative plasma prothrombin time,preoperative activated partial prothrombin time,preoperative international normalized ratio,preoperative thrombin time,preoperative fibrinogen,preoperative erythrocyte sedimentation rate,preoperative C-reactive protein,preoperative D-dimer,preoperative mean corpuscular hemoglobin content,preoperative mean corpuscular volume,operation time,body mass index,preoperative procalcitonin,and preoperative hematocrit.SPSS 27.0 software was used for univariate analysis,followed by R language(4.3.1)to perform least absolute shrinkage and selection operator regression and 10-fold cross-validation of the observation indicators to obtain the intersection of the two risk factors.SPSS 27.0 software was used to perform multivariate binary logistic regression to obtain the final risk factors.The prediction model of hypoproteinemia after total hip arthroplasty was constructed by R language.The receiver operating characteristic curve,calibration curve,and clinical decision curve were constructed to assess the predictive model predictive ability.RESULTS AND CONCLUSION:(1)Univariate analysis,least absolute shrinkage and selection operator regression,and multivariate logistic regression were used to screen out significant differences in age(OR=1.024,P=0.023),preoperative platelets(OR=0.995,P=0.028),and preoperative erythrocyte sedimentation rate(OR=1.031,P=0.045)in judging whether hypoproteinemia would occur after surgery(P＜0.05).(2)The nomogram prediction model was constructed based on the final risk factors screened by multivariate Logistic regression,and the prediction ability of the model was evaluated by constructing the receiver operating characteristic curve,and the area under the calculated receiver operating characteristic curve reached 0.835(95％CI=0.779-0.891),C-index=0.835.A threshold of 0-0.83 could bring better clinical efficacy calculated by the decision curve analysis.The model has good sensitivity and accuracy,which can better identify the risk of postoperative hypoproteinemia for medical staff and patients before total hip arthroplasty.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.