ObjectiveTo observe the effects of Dihuang Yinzi （DY） on motor dysfunction in rats with advanced Parkinson's disease （PD） and to investigate the mechanisms by which DY improves advanced PD symptoms through the "gut microbiota-short-chain fatty acids （SCFAs）-inflammation-neuroprotection pathway". MethodsAn advanced PD rat model was induced by rotenone. Rats were divided into a normal group， model group， positive drug group （levodopa， 50 mg·kg^-1）， and DY low-， medium-， and high-dose groups （5.2， 10.4， 20.8 g·kg^-1）. After 7 days of administration， motor function was evaluated using the open-field， pole-climbing， and inclined plate tests. Hematoxylin-eosin （HE） staining was used to observe pathological changes in the substantia nigra and colon， and immunohistochemistry was performed to detect α-Synuclein （α-Syn） and tyrosine hydroxylase （TH） expression in the substantia nigra. Enzyme-linked immunosorbent assay （ELISA） was used to measure levels of dopamine （DA）， 5-hydroxytryptamine （5-HT）， 3，4-dihydroxyphenylacetic acid （DOPAC）， Levodopa， homovanillic acid （HVA）， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）. Western blot analysis was used to detect the expression of zonula occludens-1 （ZO-1） and occludin. Gut microbiota diversity was analyzed by 16S rRNA sequencing， and gas chromatography （GC） was used to determine the content of SCFAs in colonic contents. ResultsCompared with the normal group， the model group showed significantly decreased movement speed and distance in the open-field test， prolonged pole-climbing time， and reduced retention angle on the inclined plate （P<0.01）， accompanied by increased α-Syn expression （P<0.01） and decreased TH expression （P<0.01） in the brain. Compared with the model group， all DY dose groups improved motor dysfunction in advanced PD rats to varying degrees （P<0.05， P<0.01） and alleviated pathological damage in the brain and colon. High-dose DY significantly reduced α-Syn aggregation in the substantia nigra （P<0.01） and increased TH expression （P<0.01）. ELISA and Western blot results showed that， compared with the normal group， the model group exhibited decreased levels of DA， 5-HT， DOPAC， Levodopa， and HVA in the striatum （P<0.01）， increased levels of TNF-α， IL-6， and IL-1β in the colon and striatum （P<0.01）， and significantly reduced expression of ZO-1 （P<0.05） and occludin in the colon （P<0.01）. Compared with the model group， all DY dose groups increased the levels of DA， 5-HT， DOPAC， Levodopa， and HVA in the striatum to varying degrees （P<0.05， P<0.01）. In the high-dose DY group， the levels of TNF-α， IL-6， and IL-1β in the colon and striatum were reduced （P<0.01）， while the expression of ZO-1 （P<0.05） and occludin in the intestine was increased. The 16S rRNA sequencing results indicated that the relative abundances of Actinobacteriota， Enterobacteriaceae， and Erysipelotrichaceae were increased in the model group， whereas the relative abundances of Bacteroidota， class Clostridia， Lachnospiraceae， and Akkermansia muciniphila were decreased. These changes were effectively reversed after high-dose DY intervention. GC analysis showed that the content of SCFAs in the colonic contents of rats in the model group was decreased （P<0.05， P<0.01）， while after high-dose DY intervention， the levels of acetate， propionate， isobutyrate， and butyrate were significantly increased （P<0.05， P<0.01）. ConclusionDY may exert therapeutic effects in advanced PD by regulating the gut microbiota-SCFAs-inflammation pathway.

Objective: To explore the latent profile characteristics of regulatory emotional self-efficacy and its relationship with non-suicidal self-injurious (NSSI) behavior among junior and senior high school students, so as to provide a basis for effectively reducing NSSI behaviors. Methods: From April to October 2023, a total of 1 217 junior and senior high school students were selected from Tongren City, Zunyi City and Qiannan Prefecture of Guizhou Province by stratified cluster random sampling method. The Scale of Regulatory Emotional Self-efficacy and the Adolescent Self-injury Scale were administered. Latent profile analysis (LPA) was employed to explore distinct profiles of regulatory emotional self-efficacy, and the Lanza, Tan, and Bray s method (LTB) was used to analyze the relationship between these profiles and NSSI behavior. Results: The prevalence rate of NSSI behavior among junior and senior high school students was 28.6%. Among males, regulatory emotional self-efficacy was categorized into two types: moderate positive expression-low negative management group (59.1%, n =353) and high efficacy group (40.9%, n =244); among females, regulatory emotional self-efficacy was classified into three categories: low efficacy group (18.4%, n =114), high positive expression-low negative management group (56.3%, n =349), and high efficacy group (25.3%, n =157). There were statistically significant differences in total NSSI scores across different potential categories of regulatory emotional self-efficacy within both males and females ( Z/H = -5.75 , 57.58, both P <0.01). The differences in NSSI prevalence rates across the potential categories of regulatory emotional self-efficacy were statistically significant for both males and females ( χ 2=38.00, 69.14, both P <0.01), and among females, the differences in NSSI prevalence rates between the high efficacy group and the low efficacy group ( χ 2=60.01) and between the high efficacy group and the high positive expression-low negative management group ( χ 2=31.34) were also statistically significant (both P < 0.016 7 ). Binary Logistic regression analysis revealed that, compared with the high efficacy group within each gender, the moderate positive expression-low negative management group among males ( OR =2.36), and both the low efficacy group and the high positive expression-low negative management group among females ( OR =6.19, 2.97), were at an increased risk of engaging in NSSI (all P <0.01). Conclusion Different latent profiles of regulatory emotional self efficacy among junior and senior high school students are associated with NSSI behavior.

Objective: To evaluate the diagnostic performance of magnetic resonance spectroscopy (MRS) in discriminating fumarate hydratase-deficient (FH-d) uterine leiomyomas (ULs) from FH-preserved ULs. Materials and Methods: This study consisted of three stages, with independent cohorts recruited for each stage: 1) sample-size estimation was retrospectively performed on UL specimens (diameter ≥3 cm; age, 20–40 years) from our database with immunohistochemistry (IHC) for 2-succinocysteine (2-SC) as the reference, without genetic testing, 2) MRS sequence optimization in confirmed FH germline mutation participants with ultrasound-detected ULs (diameter ≥3 cm), without IHC analysis, and 3) prospective diagnostic test accuracy was evaluated in consecutive participants with ultrasound-detected ULs (diameter ≥3 cm;age, 20–40 years), using IHC for 2-SC for determining the FH status and subsequent genetic testing in those with positive 2-SC results to identify whether FH mutations were germline or somatic in origin. The choline and fumarate peaks in MRS were classified as positive, negative, or technical failure (TF). TFs were analyzed separately and excluded from the primary diagnostic accuracy calculations. T1-, T2-, and diffusion-weighted images were interpreted as hyperintense or hypointense. The enhancement rate and apparent diffusion coefficient were also acquired. Diagnostic performance was compared between MRS and various magnetic resonance imaging (MRI) features. Results: The optimal MRS parameters for the fumarate peak were echo time (TE) = 140 ms and an average of 256. Among the 360 prospective participants, 37 were confirmed to have FH-dULs. MRS showed positive fumarate peaks in 35 of 37 FH-dULs.After excluding six TFs, the positive fumarate peak on MRS showed 94.6% (35/37) sensitivity, 99.7% (316/317) specificity, and 99.2% (351/354) accuracy, all of which were significantly superior to those of other MRI features (P ≤ 0.002). Conclusion A positive fumarate peak on MRS may be a useful imaging biomarker for diagnosing FH-dULs.

Objective Isolated bilateral adrenal hematoma(BAH)without other intra-abdominal visceral injuries following trauma is extremely rare. We report a case and review the relevant diagnostic and management experience diagnosis and treatment experience. Case Presentation A 57-year-old male patient presented with systemic pain and discomfort four hours after-traffic collision. Computed tomography(CT)revealed bilateral adrenal contusions with hematoma formation. One week of symptomatic management—including bed rest, oxygen therapy, analgesia, antimicrobial treatment, and nutritional support—was administered. Follow-up abdominal CT demonstrated significant resolution of bilateral adrenal hematomas and surrounding fluid collection. The patient was discharged following rehabilitation therapy. Conclusion For such patients, thorough history-taking regarding past medical history is crucial. When adrenal injury is suspected, contrast-enhanced CT provides definitive diagnosis. Concurrent monitoring of adrenal hormone levels is essential. During bed rest, proactive measures to prevent bed-related complications are required, with long-term follow-up after-discharge.

Objective:To investigate the short-term efficacy of robotic versus laparoscopic-assisted right hemicolectomy.Methods:The propensity score matching and retrospective cohort study was conducted. The clinicopathological data of 99 patients of right colon cancer who were admitted to Tianjin Medical University General Hospital from January 2020 to December 2023 were collected. There were 50 males and 49 females, aged 69(range, 26?89)years. Of the 99 patients, 41 patients undergoing robotic-assisted right hemicolectomy were divided into the robotic group, and 58 patients undergoing laparoscopic-assisted right hemicolectomy were divided into the lapa-roscopic group. Patients received robotic-assisted or laparoscopic-assisted right hemicolectomy operated by the same major surgeon. Observation indicators:(1) propensity score matching status and com-parison of clinical data of patients between the two groups after matching; (2) intraoperative and postoperative conditions.Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the nonparametic rank sum test. Propensity score matching was performed using the 1∶1 nearest neighbor matching method. The caliper value was set as 0.1. Results:(1) Propensity score matching status and comparison of clinical data of patients between the two groups after matching. Of the 99 patients, 82 patients were successfully matched, with 41 cases in each of the robotic group and the laparoscopic group. After propensity score matching, the elimination of history of abdominal operation confounding bias ensured comparability. (2) Intraoperative and postoperative conditions. After propensity score matching, the operation time of the robotic group was 215(range, 130?340)minutes, the volume of intraoperative blood loss was 50(range, 10?400)mL, the number of lymph node dissected was 21(range, 5?55), the number of intensive care unit stay was 15, time to postoperative first flatus was 3(range, 1?12)days, time to postoperative first food intake was 4(range, 2?14)days, duration of postoperative hospital stay was 8(range, 5?25)days. The above indicators of the laparoscopic group were 210(range, 140?370)minutes, 50(range, 5?150)mL, 19(range, 5?34),20, 3(range, 0?9)days, 5(range, 2?10)days, 8(range, 6?17)days, respectively. There was no significant difference in the above indicators between patients of the two groups ( Z=?0.94, ?1.87, ?1.32, χ2=1.25, Z=0.13, ?0.83, ?0.65, P>0.05). There was no patient converted to open operation in the robotic group, versus 1 patient converted to open operation in the laparoscopic group, showing no significant difference between patients of the two groups ( P>0.05). There were 6 cases in the robotic group and 4 cases in the laparoscopic group with complications, showing no significant difference between the two groups ( χ2=0.46, P>0.05). Both groups of patients achieved R 0 resection and had no readmission 30 days after surgery. The hospital expense was (11.0±1.8)×10 4 yuan of the robotic group, versus (9.0±1.7)×10 4 yuan of the laparoscopic group, showing a significant difference between the two groups ( t=?5.27, P<0.05). Conclusion:Robot-assisted right hemicolectomy is non inferior to laparoscopic-assisted right hemicolectomy in safety and efficacy, but with higher hospitalization costs.

Drug addiction is a chronic disease that causes serious physical and psychological harm to the individual,as well as damage to society.Biomarkers are indicators that differ significantly between healthy people and patients and are important for the diagnosis and treatment of diseases.The increasing incidence of drug addiction in recent years and the wider variety and number of new drugs has led to an increase in the study of biomarkers of drug addiction and their analysis in different biological samples.This paper reviews biomarkers of drug addiction in hair,blood,urine,and feces,to help to explore the biological signatures of drug addiction and facilitate its clinical diagnosis and treatment.

Objective To observe the value of ultrasound radiomics based on convolutional neural network(CNN)for predicting effect of neoadjuvant chemotherapy(NAC)for breast cancer.Methods Totally 164 women with breast cancer were retrospectively enrolled and divided into effective group(n=68)and ineffective group(n=96)according to the treatment response,also randomly divided into training set(n=131)and validation set(n=33)at the ratio of 8∶2.Based on ultrasound before NAC,radiomics features of breast cancer were extracted and screened with CNN,radiomics models were constructed with logistic regression(LR),support vector machine(SVM),K-nearest neighbor(KNN),random forest(RF)and multilayer perceptron(MLP),respectively.The best radiomics model was selected,deep learning score(DL-Score)was calculated,and the nomogram was drawn combined with clinical features.Results Among 5 radiomics models,MLP model had the best comprehensive efficacy for predicting effect of NAC for breast cancer,and its sensitivity,specificity and area under the curve(AUC)in training set was 77.78％,92.21％and 0.929,respectively,which in validation set was 78.57％,84.21％and 0.921,respectively.The estrogen or progesterone receptor,human epidermal growth factor receptor 2 and DL-Score were all independent predictors of NAC effect for breast cancer(all P＜0.05).The sensitivity,specificity and AUC of nomogram drawn based on the above independent predictors was 83.30％,92.21％and 0.953 in training set,85.71％,94.74％and 0.955 in validation set,respectively.AUC of the nomogram was slightly higher than that of MLP model,but no significant difference was found(both P＞0.05).The integrated discrimination improvement index showed that adding clinical features(i.e.the above-mentioned immunohistochemically indicators)could improve the predictive performance of radiomics models(P＜0.001).Conclusion Ultrasound radiomics based on CNN could be used to predict effect of NAC for breast cancer.Combining with immunohistochemically indicators might improve their efficacy.

Objective To address the personalized differences in motion gait between stroke patients and healthy older adults,as well as the issue of abnormal gait recognition,a deep learning fusion-based approach is proposed to effectively improve the accuracy of abnormal gait recognition.Methods A model fusing convolutional neural networks(CNN)and bidirectional long short-term memory networks(BiLSTM)was adopted,with the introduction of a residual network(ResNet).Unilateral ankle joint movement data at different walking speeds within a comfortable range were collected from healthy older adults and stroke patients.Signals from inertial sensors and electromyography sensors were used as inputs,while gait features were analyzed and gait differences between the two groups were compared.The effectiveness of the model was validated by comparing the classification performance of traditional deep learning models and CNN-ResNet-BiLSTM models with different layer combinations in terms of abnormal gait recognition accuracy.Results The CNN-ResNet-BiLSTM model,which introduced residual connectivity,performed excellently in abnormal gait recognition.Compared with traditional deep learning models such as the gated recurrent unit(GRU)and long short-term memory network(LSTM),its prediction accuracy was improved by 13.6％and 8.36％,respectively.Additionally,compared with other model combinations,this model achieved an overall accuracy of 97.78％.Conclusions The algorithm proposed in this study can be applied to stroke-related abnormal gait detection,providing technique support for the early diagnosis and precise monitoring of such diseases.

Objective To explore the peak moment characteristics of lower limb joints,as well as the contribution rate and compensation mechanism of lower limb joints when older adults with a history of falls cross obstacles at different paces.Methods Thirty healthy older adults and 30 eldely fallers were recruited.The Qualisys infrared high-speed motion capture system and the Kistler three-dimensional force platform were used to collect the biomechanical data of the older adults when they crossed an obstacle with a height of 15％of their height at three walking speeds(1.05,1.41,1.74 m/s).The data were then modeled and analyzed using Visual 3D software.Results As walking speed increased,the peak knee extension moment,peak ankle plantar flexion moment,and double peak value of hip flexion moment in healthy group all increased significantly(P＜0.05).Compared with healthy group,the double peak values of hip flexion moment in faller group were significantly smaller than those in healthy group(P＜0.05).During walking at moderate speed,the contribution rate of the left hip joint in faller group was significantly higher than that of healthy group(P=0.025),while the contribution rate of the ankle joint was significantly lower(P=0.044).The margin of stability in the anterior-posterior direction at the moment of ground contact of the stance leg and the stride leg increased with walking speed(P=0.007,P=0.002).Conclusions Compared with healthy older adults,the elderly fallers have lower peak torque,peak ground reaction force,and dynamic stability in the anterior-posterior direction.As the walking speed increases,the mechanical parameters and the margin of stability of older adults increase significantly,and walking stability is improved.Compared with healthy older adults,elderly fallers usually rely more on the contribution of hip joint movements and reduce the involvement of ankle joints.It is recommended to incorporate fast walking exercises into the daily fall prevention exercise program for older adults,with combination of coordinated training of the hip,knee,and ankle joints.

Purpose To explore the diagnostic efficacy of 99Tcm labeled fibroblast activation protein inhibitor(FAPI)SPECT/CT for metastatic lesions in advanced colorectal cancer and its impact on decisions regarding immunotherapy,and to compare it with 18F-FDG PET/CT.Materials and Methods A total of 34 patients with advanced colorectal cancer who underwent both 99Tcm-FAPI SPECT/CT and 18F-FDG PET/CT imaging from August 2022 to November 2023 in Fuzhou University Affiliated Provincial Hospital were prospectively included.The gold standard was based on biopsy or clinical and imaging follow-up results.Chi-square tests and rank sum tests were used to compare differences between the groups.Results Among the 34 patients,17 patients subsequently received immunotherapy.The uptake of 99Tcm-FAPI was significantly higher than that of 18F-FDG for the primary tumor site(Z=-2.389,P=0.017),peritoneal metastasis(Z=-2.497,P=0.013)and liver metastasis(Z=-0.106,P=0.015).The diagnostic efficacy of 99Tcm-FAPI SPECT/CT for patients with peritoneal metastasis was superior to that of 18F-FDG PET/CT(χ2=4.65,P=0.033).Metastatic lesions that did not uptake 99Tcm-FAPI had a better clinical prognosis after immunotherapy(χ2=11.839,P=0.006),and maximum standardized uptake value(SUVmax)-FDG/SUVmax-FAPI ratio was a promising predictive factor for a better prognosis after immunotherapy,with an optimal cut-off value of 5.04.Conclusion 99Tcm-FAPI SPECT/CT has superior diagnostic efficacy for peritoneal metastasis in advanced colorectal cancer compared with 18F-FDG PET/CT.SUVmax-FDG/SUVmax-FAPI ratio is a promising radiomic parameter for predicting patient prognosis after immunotherapy,which can help guide clinical decision-making further.