OBJECTIVE To systematically evaluate risk prediction models for chemotherapy-induced myelosuppression in breast cancer， and provide a scientific reference for clinical healthcare workers in selecting or developing effective predictive models. METHODS A systematic search was conducted for studies on predictive models of the risk of chemotherapy-induced myelosuppression in breast cancer across the CNKI， VIP， Wanfang， PubMed， Web of Science， Cochrane Library， Embase， and Scopus databases， with a time frame of the establishment of the database to May 7， 2024. Literature was independently screened by 2 investigators， data were extracted according to critical appraisal and data extraction for systematic reviews of predictive model studies， and the risk of bias evaluation tool for predictive model studies was used to analyze the risk of bias and applicability of the included studies. RESULTS There were totally 7 studies， comprising 12 models. Among them， 11 models indicated an area under the subject operating characteristic curve of 0.600-0.908； 2 models indicated calibration. The common predictor variables of the included models were age， pre-chemotherapy neutrophil count， pre-chemotherapy lymphocyte count， and pre-chemotherapy albumin. The overall risk of bias of the 7 studies was high， which was mainly attributed to the flaws in the study design， insufficient sample sizes， inappropriate treatment of variables， non-reporting of missing data， and the lack of indicators for the assessment of the models， but the applicability was good. CONCLUSIONS The predictive performance of risk predictive models for chemotherapy-induced myelosuppression in breast cancer remains to be further enhanced， and the overall risk of model bias is high. Future studies should follow the specifications of model development and reporting， then combine machine learning algorithms to develop risk predictive models with good predictive performance， high stability， and low risk of bias， so as to provide a decision-making basis for the clinic.

Objective To analyze the risk factors associated with the occurrence of rectal neuroendocrine tumors (RNETs) and construct a risk prediction model. Methods Clinical data of patients who underwent electronic colonoscopy were collected. The clinical information on patients with and without RNETs were compared, and potential risk factors for RNETs were identified. Binary logistic regression was performed to analyze the relevant risk factors and construct a risk prediction model. Results Among 164 patients, 66 were diagnosed with RNETs, and 98 who did not have such a condition were randomly selected. Univariate logistic regression analysis revealed that age, fatty liver, anxiety and depression, total cholesterol, triglyceride levels, and carcinoembryonic antigen (CEA) were significant factors influencing the occurrence of RNETs (P<0.05). Multivariate logistic regression analysis identified age (P=0.015), anxiety and depression (P=0.031), cholesterol level (P=0.009), fatty liver (P=0.001), and CEA (P<0.001) as independent risk factors for RNETs. The participants were randomly divided into training and test sets at a 7:3 ratio. The training set was used to construct a nomogram-based risk prediction model, and the testing set was used for internal validation. The area under the curve values for the training and testing sets were 0.843 and 0.772, respectively (P>0.05). These findings indicate a good discriminative performance. The calibration curves for the training and testing sets were in good agreement with the 45° standard line, which suggests that the predicted probabilities were consistent with the actual outcomes. Decision curve analysis showed that the model provided a high net benefit within a threshold range of 0.2 to 0.7 for clinical decision making. Conclusion Young age, fatty liver, high CEA levels, high cholesterol levels, and anxiety and depression are independent risk factors for RNETs. The nomogram model constructed based on these risk factors exhibits a strong capability to predict the occurrence of RNETs, and clinical intervention can be considered based on the predicted probability values.

Objective To investigate the mechanism of glycogen synthase kinase-3β（GSK-3β） participating in stroke-induced inflammatory brain injury through endoplasmic reticulum-mitochondria coupling， and to provide a theoretical reference and potential targets for precise treatment. Methods A rat model of middle cerebral artery occlusion was established， and the rats were divided into sham-operation group， model group， and GSK-3β inhibitor（TDZD-8） intervention group. Neurological function score was used to evaluate the degree of brain injury； TTC staining was used to evaluate cerebral infarct area； electron microscopy was used to observe mitochondrial ultrastructure； mitochondrial calcium concentration was measured； ELISA was used to measure the levels of inflammatory factors[tumor necrosis factor-α（TNF-α）and interleukin-1β（IL-1β）]， and Western blot was used to measure the expression levels of related proteins. Results Compared with the sham-operation group， the model group had significant neurological function impairment， an increase in cerebral infarct area， and significant increases in the expression levels of inflammatory factors and GSK-3β，with enhanced endoplasmic reticulum-mitochondria coupling and mitochondrial calcium overload. TDZD-8 significantly improved the above indicators and reduced the levels of inflammatory factors and cerebral infarct area. Conclusion Abnormal activation of GSK-3β damages brain tissue by regulating endoplasmic reticulum-mitochondria coupling and promotes mitochondrial calcium overload and inflammatory response. Inhibiting GSK-3β activity can effectively improve stroke-induced inflammatory brain injury， which provides a new pathway and a molecular target for developing precise treatment strategies.
Stroke

OBJECTIVE To construct a prediction model for the efficacy of serotonin-norepinephrine reuptake inhibitor （SNRI） in inpatients with moderate and severe depression by using a machine learning method. METHODS The case records of inpatients with moderate and severe depression treated with SNRI antidepressants were collected from a third-grade class-A hospital in Xinjiang from January 2022 to October 2024； those patients were divided into effective group and ineffective group based on the Hamilton depression scale-24 score reduction rate. After screening the characteristic variables related to the therapeutic efficacy of SNRI drugs through LASSO regression， five prediction models including support vector machine， k-nearest neighbor， random forest， lightweight gradient boosting machine and extreme gradient boosting were constructed using the training set. Bayesian optimization was used to adjust the hyperparameters of these models. The performance of the models was evaluated in the validation set to select the optimal model. The Shapley additive explanations method was used to perform explainable analysis on the best model. RESULTS The medical records from 355 hospitalized patients with moderate and severe depression were collected， comprising 285 cases in the effective group and 70 cases in the ineffective group， resulting in an overall therapeutic response rate of 80.28%. After feature variable screening， five characteristic variables for therapeutic efficacy were obtained， including Hamilton anxiety scale， blood urea nitrogen， combination of anti-anxiety drugs， drinking history， and first onset of the disease. Compared with other models， the random forest model performed the best. The area under the receiver operating characteristic curve was 0.85， the area under the precision-recall curve was 0.87， the accuracy was 0.74， and the recall rate value was 0.75. CONCLUSIONS The random forest model constructed based on five characteristic variables demonstrates potential for predicting the therapeutic efficacy of SNRI antidepressants in hospitalized patients with moderate and severe depression.

Objective To investigate the epidemiological characteristics of dengue fever in Shenzhen City in 2024, so as to provide insights into formulation of the preventive and control measures for dengue fever. Methods The epidemiological data of dengue cases reported in Shenzhen City in 2024 were extracted from the China Disease Prevention and Control Information System and field epidemiological survey data of dengue fever in Shenzhen City, and the temporal, regional and population distributions of dengue fever cases, source of acquire dengue virus infections, disease diagnosis and treatment and outbreaks were analyzed. The dengue virus nucleic acid was tested and the serotypes of dengue virus were characterized using real-time quantitative reverse transcription PCR (RT-qPCR) assay, and the dengue virus gene was sequenced using next-generation sequencing (NGS). In addition, the surveillance on the density of Aedes albopictus was performed using Breteau index (BI) and mosquito oviposition index (MOI). Results A total of 1 735 dengue fever cases were reported in Shenzhen City in 2024, including 952 local cases and 783 imported cases. Most imported dengue fever cases acquired infections from eight cities of Foshan, Guangzhou, Zhongshan, Jiangmen, Dongguan, Zhaoqing, Huizhou, and Zhuhai in the Pearl River Delta region (664 cases, 84.8% of total imported cases) into Baoan, Longgang, and Nanshan districts. The epidemic exhibited an early onset and rapid progression, peaking during the period between September and November (1 632 cases, 94.1% of total cases), and dengue fever cases were distributed across 73 subdistricts in 10 districts, with most cases reported in densely populated central and western regions. The dengue fever cases had a male-to-female ratio of 1.9∶1.0, and a median age of 37 (21) years, with a higher median age among local cases than among imported cases [40 (20) years vs. 33(15) years; Z = -10.30, P < 0.05]. Housework, unemployment, workers, and business service were predominant occupations (1 405 cases, 81.0% of total cases), and there was a significant difference in the constituent ratio of occupations between local and imported cases (χ² = 92.30, P < 0.05). Among the 1 735 dengue fever cases, the median duration from onset to definitive diagnosis was 3.3 (2.9) days, and 1 686 cases (97.2%) were identified in healthcare facilities, with a low rate of hospitalization and isolation seen in 1 701 inpatients with available epidemiological data (485 cases, 28.5% of total inpatients). A total of 29 outbreaks of dengue fever occurred in Shenzhen City across 2024, which primarily in construction sites (27 outbreaks, 93.1% of total). Dengue virus type I was the dominant serotype causing dengue fever in Shenzhen City in 2024. Sequencing showed that the genomes of dengue virus from multiple dengue fever cases in Shenzhen City shared a high sequence homology with those from cities neighboring Shenzhen City, and there might be intra-city transmission of dengue virus among multiple construction sites in Shenzhen City. The Aedes albopictus density was significantly higher in Shenzhen City in 2024 than in 2023, peaking from May to September. The annual MOI values ranged from 0.9 to 14.0, and the BI values ranged from 0.6 to 6.0. Conclusions The overall epidemic of dengue fever was severe in Shenzhen City in 2024, which was greatly affected by case importation from neighboring cities, construction sites-centered local transmission, and the effectives of routine mosquito vector control was not satisfactory. Integrated dengue fever control measures should be implemented, focusing on regional joint prevention and control mechanisms, capacity building for mosquito vector control, addressing challenges in epidemic containment at construction sites, and strengthening case detection and management systems.

OBJECTIVE: To compare the effectiveness of clavicular hook plate fixation in the treatment of acromioclavicular joint dislocation and distal clavicle fractures. METHODS: A clinical data of 90 patients, who underwent clavicular hook plate fixation between January 2014 and June 2023, was retrospectively analyzed. There were 40 patients with distal clavicle fractures (fracture group) and 50 with acromioclavicular joint dislocations (dislocation group). There was no significant difference in the baseline data of gender, age, cause of injury, side of injury, time from injury to operation, and constituent ratio of osteoporosis patients between the two groups ( P>0.05). The time to remove the internal fixators and the occurrence of complications were recorded. Before removing the internal fixator and at 3 months after removing, the visual analogue scale (VAS) score was used to evaluate the degree of pain, and the mobility of the shoulder joint in forward flexion, elevation, and abduction was measured. Before removing the internal fixators, the Constant-Murley score and the University of California, Los Angeles (UCLA) score were used to evaluate the function of the shoulder joint. X-ray films of the shoulder joint were taken during follow-up to observe the occurrence of subacromial osteolysis, acromioclavicular joint osteoarthritis, and distal clavicle bone atrophy. Subgroup comparison was conducted between patients with and without subacromial osteolysis in the two groups. RESULTS: All incisions healed by first intention in both groups. All patients were followed up 1-9 years, with a median of 5 years; the difference in follow-up time between the two groups was not significant ( P>0.05). During follow-up, subacromial osteolysis occurred in 74 cases, including 41 cases of typeⅠand 33 cases of type Ⅱ, distal clavicle bone atrophy in 15 cases, and acromioclavicular joint osteoarthritis in 8 cases. There were significant differences in the removal time of internal fixators, the incidence of bone atrophy, and the incidence of osteoarthritis between the two groups ( P<0.05). There was no significant difference in the incidence of subacromial osteolysis ( P>0.05). Before removing the internal fixators, there was no significant difference in VAS score, UCLA score, and Constant-Murley score between the two groups ( P>0.05), while there were significant differences in shoulder joint range of motion in all directions ( P<0.05). After removing the internal fixators, only the difference in elevation was significant ( P<0.05). Within the group comparison, the VAS score and mobility of shoulder joint in abduction and elevation after removing the internal fixators were significantly superior to those before removing ( P<0.05). In the fracture and dislocation groups, there was only a significant difference in plate length between the subgroup with and without subacromial osteolysis ( P<0.05), while there was no significant difference in the above other indicators ( P>0.05). CONCLUSION Clavicular hook plate is a good choice for treating acromioclavicular dislocation or distal clavicle fractures, but the incidence of subacromial osteolysis is higher, and the degree of bone resorption is more severe in fracture patients. After removal of the internal fixator, the shoulder functions significantly improve. It is recommended to remove the internal fixator as soon as possible within the allowable range of the condition.
Humans ; Clavicle/surgery* ; Acromioclavicular Joint/surgery* ; Bone Plates ; Fracture Fixation, Internal/instrumentation* ; Fractures, Bone/surgery* ; Male ; Retrospective Studies ; Female ; Adult ; Middle Aged ; Treatment Outcome ; Joint Dislocations/surgery* ; Aged ; Range of Motion, Articular ; Young Adult ; Postoperative Complications

The prevalence of periodontitis in China is as high as 74.2%, making it the leading cause of tooth loss in adults and severely impacting both oral and overall health. The treatment of periodontitis and periodontal tissue regeneration are global challenges of significant concern. GE Shaohua' s group at School and Hospital of Stomatology, Shandong University has focused on the key scientific issue of "remodeling the periodontal inflammatory microenvironment and optimizing tissue repair and regeneration". They have elucidated the mechanisms underlying the persistence of periodontitis, developed bioactive materials to enhance stem cell regenerative properties, and constructed a series of guided tissue regeneration barrier membranes to promote periodontal tissue repair, leading to the establishment of a comprehensive technology system for the treatment of periodontitis. Specific achievements and progress include: (1) Elucidating the mechanism by which key periodontal pathogens evade antimicrobial autophagy, leading to inflammatory damage; developing intelligent antimicrobial hydrogels and nanosystems, and creating metal-polyphenol network microsphere capsules to reshape the periodontal inflammatory microenvironment; (2) Explaining the mechanisms by which nanomaterial structures and electroactive interfaces regulate stem cell behavior, developing optimized nanostructures and electroactive biomaterials, thereby effectively enhancing the regenerative repair capabilities of stem cells; (3) Creating a series of biphasic heterogeneous barrier membranes, refining guided tissue regeneration and in situ tissue engineering techniques, stimulating the body' s intrinsic repair potential, and synergistically promoting the structural regeneration and functional reconstruction of periodontal tissues. The research outcomes of the group have innovated the fundamental theories of periodontal tissue regeneration, broken through foreign technological barriers and patent blockades, established a cascade repair strategy for periodontal regeneration, and enhanced China' s core competitiveness in the field of periodontal tissue regeneration.
Humans ; Stem Cells/physiology* ; Periodontitis/therapy* ; Guided Tissue Regeneration, Periodontal/methods* ; Regeneration ; Biocompatible Materials ; Tissue Engineering/methods*

OBJECTIVES: To explore the active components that mediate the therapeutic effect of Centella asiatica on psoriasis and their therapeutic mechanisms. METHODS: TCMSP, TCMIP, PharmMapper, Swiss Target Prediction, GeneCards, OMIM and TTD databases were searched for the compounds in Centella asiatica and their targets and the disease targets of psoriasis. A drug-active component-target network and the protein-protein interaction network were constructed, and DAVID database was used for pathway enrichment analysis. In a RAW264.7 macrophage model of LPS-induced inflammation, the anti-inflammatory effect of 7.5, 15, 30, and 60 μmol/L quercetin, asiaticoside, and asiatic acid, which were identified as the main active components in Centella asiatica, were tested by measuring cellular production of NO, TNF‑α and IL-6 using Griess method and ELISA and by detecting mRNA expressions of IL-23, IL-17A, TNF-α and IL-6 and protein expressions of p-STAT3 (Tyr705) and p-STAT3 (Ser727) with RT-qPCR and Western blotting. RESULTS: A total of 139 targets of Centella asiatica and 4604 targets of psoriasis were obtained, and among them CASP3, EGFR, PTGS2, and ESR1 were identified as the core targets. KEGG analysis suggested that quercetin, asiaticoside, and asiatic acid in Centella asiatica were involved in cancer and IL-17 and MAPK signaling pathways. In the RAW264.7 macrophage model of inflammation, treatment with quercetin significantly reduced cellular production of NO, TNF‑α and IL-6, and lowered mRNA expressions of IL-23, IL-17A, TNF‑α and IL-6 and protein expressions of p-STAT3 (Tyr705) and p-STAT3 (Ser727). CONCLUSIONS Quercetin, asiaticoside and asiatic acid are the main active components in Centella asiatica to mediate the therapeutic effect against psoriasis, and quercetin in particular is capable of suppressing cellular production of NO, TNF‑α and IL-6 and regulating the IL-23/IL-17A inflammatory axis by mediating STAT3 phosphorylation to inhibit inflammatory response.
Quercetin/pharmacology* ; Psoriasis/metabolism* ; STAT3 Transcription Factor/metabolism* ; Mice ; Animals ; Centella/chemistry* ; Triterpenes/pharmacology* ; Phosphorylation ; Interleukin-17/metabolism* ; Interleukin-23/metabolism* ; RAW 264.7 Cells ; Pentacyclic Triterpenes/pharmacology* ; Macrophages/drug effects* ; Signal Transduction ; Plant Extracts

Antibiotics are chemicals with bactericidal or bacteriostatic activity produced by microorganisms and artificially synthesized. Since the discovery of penicillin by Alexander Fleming in 1928, antibiotics have been widely used in clinical treatments as well as in the animal husbandry and aquaculture, leading to antibiotic residues in soil, water, food and other environments. At the same time, antibiotic resistance is increasingly serious, which necessitates the discovery of novel antibiotics. In recent years, with the development of synthetic biology, researchers have developed a variety of whole-cell biosensors that can respond to antibiotics. These whole-cell biosensors use microbial cells to convert antibiotic signals into readable signals, which can not only perform dynamic detection of antibiotics simply, quickly, sensitively and accurately but also effectively discover novel antibiotics. This review comprehensively summarizes the reported whole-cell biosensors for antibiotics, classifies them into two types (specific and general), and elaborates on the design principles and applications of the two types of antibiotic biosensors. This review will provide reference for the construction and application of other whole-cell biosensors for antibiotics.
Biosensing Techniques/methods* ; Anti-Bacterial Agents/pharmacology*

Small RNAs (sRNAs), the key components of RNA interference (RNAi) or RNA silencing, can mediate cell-autonomous gene silencing and function as signaling molecules across species. Microbe-induced gene silencing (MIGS), which is based on interspecies RNAi, is an effective approach for controlling fungal diseases in crops. The enolase gene VdEno is essential for the growth and development of the fungal pathogen Verticillium dahliae, which causes cotton Verticillium wilt. In this study, we engineered Trichoderma harzianum (Th) to express the double-stranded RNA (dsRNA) targeting VdEno. The engineered strain Th-VdEnoi successfully generated VdEno-specific small interfering RNA (siVdEno). We further confirmed that Th-VdEnoi effectively induced VdEno silencing at the translational level. The results of crop protection assays revealed that the cotton plants co-inoculated with V. dahliae (strain V592) and Th-VdEnoi presented significantly reduced disease severity and lower fungal biomass in their roots than the control plants inoculated with V. dahliae alone or with V. dahliae and Th-GFPi (a control strain expressing GFP-targeting dsRNA). Collectively, our findings demonstrate that VdEno is an effective target for controlling cotton Verticillium wilt and confirm that MIGS is a promising strategy for managing soil-borne fungal pathogens in crops. MIGS provides strong technical support for reducing the application of conventional chemical pesticides, developing eco-friendly biopesticides, and facilitating the sustainable development of agriculture.
Gossypium/microbiology* ; Plant Diseases/prevention & control* ; Gene Silencing ; Ascomycota/genetics* ; RNA Interference ; RNA, Double-Stranded/genetics* ; Hypocreales/genetics* ; RNA, Small Interfering/genetics* ; Verticillium/genetics* ; Fungal Proteins/genetics*