While pooled CRISPR screens have revolutionized functional genomics by enabling genome-scale interrogation, they have long faced a fundamental compatibility challenge with high-resolution microscopy-based phenotypes. The core issue lies in the technical disconnect between pooled screening formats, where cells are typically analyzed in bulk populations, and microscopy approaches that require spatial resolution and single-cell visualization. This limitation has created a significant blind spot in functional genomics, preventing researchers from systematically linking genetic perturbations to detailed subcellular architectural changes. To bridge this critical technological gap, a recent landmark study published in Developmental Cell has unveiled an integrated microscopy-based CRISPR screening platform that represents a paradigm shift in the field. The most innovative breakthrough of the platform involves extending photoactivation-based labeling techniques to fixed, immunostained cells, thereby overcoming a key limitation of prior approaches that were restricted exclusively to live-cell reporter systems. This methodological advancement allows researchers to capture transient cellular states and preserve delicate subcellular structures that would otherwise be lost in live-cell imaging scenarios. By seamlessly integrating this enhanced labeling approach with sophisticated automated imaging workflows and high-content analysis pipelines, the system enables unprecedented high-throughput, organelle-level phenotypic profiling at true single-cell resolution. The platform’s capabilities were demonstrated through its application to a comprehensive genome-wide screen for regulators of cilium assembly, a complex cellular process involving intricate cytoskeletal dynamics and membrane remodeling events. The screening results validated the platform’s robustness by successfully recapitulating known ciliary machinery components while simultaneously uncovering novel regulatory factors. Most notably, the study identified SMIM27/TZMP1, a conserved transition zone microprotein, as a previously unrecognized regulator of ciliary function. This discovery provides crucial insights into the molecular mechanisms governing ciliary transition zone barrier formation and selectivity. This accessible and versatile framework effectively overcomes longstanding bottlenecks in microscopy-based screening technologies, offering a generalizable strategy for dissecting organelle biology and cellular architecture at scale. The platform’s ability to combine genome-wide screening power with detailed morphological analysis opens new avenues for investigating cellular responses to genetic perturbations across diverse biological contexts.

Objective To evaluate the application value of fascial platform versus commercial platform in transumbilical single-port laparoscopic transabdominal preperitoneal repair(TAPP)for inguinal hernia.Methods One hundred patients with inguinal hernia admitted between January and December 2024 were prospectively enrolled and randomly assigned to either the fascial platform group(n=50)or the commercial platform group(n=50)by using a random number table.The following parameters were compared between the two groups:platform establishment time,operative time,intraoperative blood loss,incision suture time,operative difficulty score,camera manipulation difficulty score,postoperative 24-hour Visual Analogue Scale(VAS)score of pain,postoperative hospital stay,total hospitalization cost,comprehensive satisfaction score,and postoperative complications.Results The fascial platform group demonstrated significantly superior outcomes compared to the commercial platform group in platform establishment time[(3.4±1.0)min vs.(8.1±1.5)min,t=-18.389,P＜0.001],operative time[(67.5±7.9)min vs.(72.2±11.5)min,t=-2.380,P=0.019],intraoperative blood loss[(8.3±4.3)ml vs.(11.1±5.7)ml,t=-2.798,P=0.006],incision suture time[(7.0±1.4)min vs.(11.8±2.7)min,t=-11.212,P＜0.001],operative difficulty score(14.4±3.6 vs.23.1±4.1,t=-11.215,P＜0.001),camera manipulation difficulty score(11.4±2.6 vs.18.3±2.5,t=-13.370,P＜0.001),VAS score of postoperative 24-hour pain(2.4±1.0 vs.3.7±1.1,t=-6.139,P＜0.001),total hospitalization cost[(15.8±1.6)thousand yuan vs.(18.3±1.6)thousand yuan,t=-7.841,P＜0.001],and comprehensive satisfaction score(7.3±1.1 vs.6.3±1.0,t=5.271,P＜0.001).However,there were no statistically significant differences in postoperative hospital stay or postoperative complication between the two groups(P＞0.05).All the patients were followed up for 1-12 months postoperatively[(5.3±1.8)months vs.(5.7±2.0)months,t=-0.945,P=0.347],with no recurrence observed in either group.Conclusions Both fascial platform and commercial platform can be used for transumbilical single-port TAPP.The fascial platform offers advantages including shorter platform establishment time,reduced incision suture time,lower operative and camera manipulation difficulty,decreased cost,less postoperative pain,and higher patient satisfaction.

Objective:To explore the possibility of using a inferior gluteal artery perforator flap (IGAPF) for breast reconstruction in the patient who did not have suitable donor site in back and abdomen.Methods:In November 2024, a 25-year-old unmarried and childless woman with right breast cancer received immediate right breast reconstruction by a right free IGAPF after modified right mastectomy in the Department of Breast and Thyroid Surgery, Second Affiliated Hospital of Hainan Medical University. The locations of perforators were confirmed by both Multi-detector computed tomography angiography (MDCTA) and portable Doppler blood flow detector before surgery. The IGAPF was designed to take the inferior gluteal wrinkle as the lower edge, the axis of the flap was parallel to the inferior gluteal wrinkle, and the width of the flap was estimated where the incision could be directly closed. The size of right IGAPF was 6.0 cm×19.0 cm. Sharp dissection was performed between the sarcolemma and muscle fibres of gluteus, then the perforators were dissected along the direction of muscle fibres of gluteus. The vascular pedicle was kept at about 8.0 cm in length. The diameter of artery was about 2.0 mm and that for the veins was about 1.5 mm. End-to-end anastomoses with the right thoracodorsal artery and vein were successfully carried out. The donor site was directly closed, and it was hidden in the inferior gluteal wrinkle. Postoperative outpatient clinical review was made.Results:Pathological examination reported: an invasive carcinoma of right breast, axillary lymph node metastasis (2/10). The patient recovered well and the flap survived without any complication, i.e. ischemic necrosis, infection and haematoma. The patient was off-bed at 3 days and discharged at 13 days after surgery. At the 40 days of postoperative follow-up, the patient achieved a good recovery and the lower limb activity was not affected by the surgery. The patient was satisfied with the reconstructed breast and donor site recovery. The patient followed with scheduled chemotherapy and subsequent radiotherapy. The volume of reconstructed breast was smaller than the other breast, of which the patient was fully informed before the surgery.Conclusion:A free IGAPF provides an alternative donor sites for achieving a breast reconstruction due to the reliable pedicle vessels and invisible donor scars.

Objective:To explore the clinical efficacy of periosteal induction technique combined with transfer of sural neurovascular flap in treatment of post-traumatic osteomyelitis of calcaneus with soft tissue defect.Methods:Clinical data, from January 2017 to December 2022, of 17 patients in the Army Institute for Traumatic Orthopaedics, the 920th Hospital of Joint Service Force of the Chinese People’s Liberation Amy with post-traumatic calcaneal osteomyelitis combined with soft tissue defect were retrospectively studied. The patients were 11 males and 6 females, with 46.5 (17-68) years in average. All patients received surgical treatment with periosteal induction technique in 2 phased surgies. Thorough debridement, antibiotics blended bone cement filling and wound coverage with sural neurovascular flap were carried out in phase-I surgery; The phase-II surgery were performed at 6-8 weeks after infection control to remove bone cement and then to transfer bone grafts for periosteal induction. After surgery, flap healing and infection control were observed. The infection control, pain improvement, recovery of ankle function and improvement of quality of life were evaluated by comparison of following parameters before and after surgery per phase: infection indicators [white blood cell count (WBC), erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP)], Visual Analogue Scale (VAS) score, American Orthopaedic Foot and Ankle Society (AOFAS) ankle-hindfoot score, and MOS 36-item Short form Health Survey (SF-36, Boston Institute of Health, USA).Results:All 17 patients completed the two-phased surgical treatment, with an average interval of 9.4 (8-16) weeks between phase-I and phase-II surgery. All patients were included in the postoperative follow-up of 25.8 (13-40) months. After debridement in phase-I surgery, the sizes of soft tissue defect were found at 3.0 cm×2.0 cm-6.0 cm×8.0 cm. All flaps survived from the reconstructive surgery of sural neurovascular flap. Postoperative distal flap necroses occurred to 4 patients but all healed after further debridement. Recurrence of postoperative infection occurred to 2 patients and the infection control was achieved after the phase-I rescue surgery. Good outcomes without recurrence of infection were achieved after phase-II surgery. The postoperative follow-up at 1 year after phase-II surgery showed a statistically significant improvement of infection in blood indicators and reductions in VAS score, AOFAS ankle-hindfoot score and SF-36 score in comparison with those before surgery ( P<0.05). In addition to WBC, there were also significant differences in pairwise comparisons between each group at different time points ( P<0.05). Conclusion:In the treatment of post-traumatic calcaneal osteomyelitis with soft tissue defect, a combination of periosteal induction technique and sural neurovascular flap is beneficial to infection control, bone defect reconstruction, recovery of ankle function and improvement of quality of life.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To observe the value of machine learning(ML)models based on ultrasound radiomics for preoperatively distinguishing atypical parathyroid tumor(APT)/parathyroid carcinoma(PC)and parathyroid adenoma(PA).Methods Totally 330 primary hyperparathyroidism patients who underwent surgical treatments were retrospectively enrolled and categorized into APT/PC group(n=78)and PA group(n=252)according to surgical pathology and clinical follow-up results,also divided into training set(n=231)and test set(n=99)at the ratio of 7∶3.Based on preoperative ultrasound,545 radiomics features were extracted,and recursive feature elimination(RFE),Kruskal-Wallis or analysis of variance methods were used to screen the features,respectively.Support vector machine(SVM),linear discriminant analysis(LDA),least absolute shrinkage and selection operator logistic regression(LRLASSO),also random forest(RF)and decision tree(DT)algorithms were adopted to construct ML models for differentiating APT/PC and PA,respectively.Then the models were trained in training set,their performance were verified in test set,and a 5-fold cross-validation was adopted to screen out the better combinations.Results Compared with Kruskal-Wallis and analysis of variance methods,the distinguishing efficacy of SVM,LDA,LRLASSO,RF and DT models constructed based on features screened out using RFE method in training set(area under the curve[AUC]=0.870,0.878,0.850,0.847,1.000)and test set(AUC=0.856,0.842,0.827,0.847 and 0.704)were all relatively higher.In test set,the AUC of SVM,LDA,LRLASSO and RF models constructed based on the features screened out using RFE method(included 25,23,17 and 23 features)were all higher than that of DT model(8 features)(all P＜0.001).No significant difference of AUC was found between SVM,LRLASSO or RF models and LDA model(all P＞0.05).The AUC of SVM and RF models were higher than that of LRLASSO model(both P＜0.05),while of SVM and RF models were not significantly different(P＞0.05),indicating that SVM,LDA and RF models were better ones.Conclusion SVM,LDA,LRLASSO,RF and DT models based on ultrasound radiomics could effectively distinguish APT/PC and PA preoperatively,among which SVM,LDA and RF models had better diagnostic efficacy.

A 70-year-old female patient presented with fatigue and edema for 3 months and was found to have elevated serum creatinine for 3 weeks. During the course of the disease, she had fever and cough. Examinations revealed multiple ground-glass opacities in both lungs and positivity for myeloperoxidase-anti-neutrophil cytoplasmic antibodies (ANCA), leading to a diagnosis of ANCA-associated vasculitis. The patient′s condition initially improved after pulse glucocorticoid therapy combined with cyclophosphamide. During treatment, however, the patient developed hematochezia, and colonoscopy revealed multiple colonic ulcers. Immunohistochemistry of colonic mucosal biopsy confirmed cytomegalovirus (CMV) positivity, establishing a diagnosis of CMV colitis. The patient was found to have concurrent Clostridioidesdifficile and pulmonary infections. During the disease course, the patient also developed deep vein thrombosis and roxadustat-associated central hypothyroidism. Given the presence of multiple comorbidities, rituximab was subsequently used for vasculitis treatment, resulting in sustained remission. This case highlights the importance of highly individualized treatment strategies for older patients with vasculitis, requiring adjustment of immunosuppressive therapy intensity based on disease progression.

Objective To construct and validate an interpretable machine learning model integrating contrast-enhanced venous phase CT radiomics and clinical features for preoperative prediction of central lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods A case-control study was conducted on 243 histologically confirmed PTC patients.Among them,196 patients from the First Affiliated Hospital of Army Medical University were randomly allocated into a training set(n=137)and an internal validation set(n=59)at a 7:3 ratio,while the left 47 patients from No.958 Hospital of PLA Army were assigned into an external validation set.All participants completed standardized preoperative contrast-enhanced neck CT scanning.Quantitative radiomic features were systematically extracted from venous phase CT images through an open-source big data AI platform.Six machine learning classifiers,eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM),Random Forest(RF),Logistic Regression(LR),k-Nearest Neighbors(KNN),and Decision Tree(DT)were implemented to construct clinical-radiomics integration models.The predictive performance was quantitatively assessed through receiver operating characteristic(ROC)curve analysis,with area under the curve(AUC)values calculated for training,internal validation,and external validation sets.Model interpretability was achieved using Shapley additive explanations(SHAP)framework,with particular focus on elucidating feature contributions in the best-performing model.Results The XGBoost model had an AUC value of 0.936(95%CI:0.895～0.976),0.832(95%CI:0.724～0.941),and 0.772(95%CI:0.632～0.912)in training,internal and external validation sets,respectively.SHAP analysis revealed age as the most influential clinical predictor,with younger patients showing higher CLNM risk(OR=0.968,P=0.042).Conclusion Our machine learning-based clinic-radiomic prediction model demonstrates satisfactory performance in predicting CLNM of PTC,providing valuable references for clinical decision-making.

Objective To develop a personalized recommendation strategy for tranexamic acid administration during the perioperative period of orthopedic surgery based on machine learning,aiming to reduce perioperative bleeding and related complications and improving clinical outcomes.Methods A total of 11 727 patients undergoing orthopedic surgery from the INSPIRE database were subjected in this study.Missing data were handled using multiple imputation methods,and relevant feature variables were screened using Boruta analysis.We constructed various machine learning models,including Gradient Boosting Machine(GBM),Generalized Linear Model(GLM),eXtreme Gradient Boosting(XGBoost),K-Nearest Neighbors(KNN),Neural Network(NNET),Naive Bayes(NB),and Random Forest(RF),to evaluate their performance in predicting intraoperative bleeding and prolonged postoperative length of hospital stay.The optimal model was then selected and further integrated using a weighted ensemble,aiming to achieve the best prognosis by recommending usage strategies for tranexamic acid.The predictive performance of the constructed model was then verified against the testing set,and compared with the physician decision-making to complete the evaluation.Results In predicting intraoperative bleeding,the RF model achieved an area under the receiver operating characteristic curve(AUC)of 0.73,which was significantly better than other models.In predicting the prolonged postoperative length of hospital stay,the XGBoost model performed the best,with an AUC value of 0.84.Based on the above best-performing models,an ensemble strategy was implemented.The patients who followed the recommended strategy had reduced intraoperative bleeding and shorter postoperative length of hospital stay.Conclusion The use of tranexamic acid is associated with intraoperative bleeding and postoperative length of hospital stay.Personalized decision-making recommendation based on our constructed model can effectively improve the outcomes of the patients undergoing orthopedic surgery.

A novel analytical method was developed in this study by combining online solid phase extraction with ultra performance liquid chromatography-tandem mass spectrometry(Online SPE-UPLC-MS/MS)for simultaneous determination of 50 kinds of steroid hormones in surface water.Specifically,after high-speed centrifugation of 4 mL water samples,the supernatant was directly injected into an Oasis HLB online SPE column for enrichment and purification.Subsequently,the target compounds were transferred to the analytical column via valve switching for separation and analysis.The chromatographic separation was performed on a Thermo Acclaim RSLC C18 column(100 mm×2.1 mm,2.2 μm),using a mobile phase composed of 5 mmol/L ammonium fluoride aqueous solution and acetonitrile.Mass spectrometric detection was conducted in positive ion mode,utilizing multiple reaction monitoring(MRM)with quantification achieved by the internal standard method.The method validation demonstrated that the limits of detection(LOD)for the 50 kinds of steroid hormones ranged from 0.02 to 0.50 ng/L,while the limits of quantification(LOQ)were between 0.08 and 1.67 ng/L.The average recoveries in surface water samples at spiked concentrations of 5,20 and 200 ng/L were between 74.1％and 119％,with relative standard deviations(RSDs)of 0.2％to 9.9％.This method was applied to analyze 11 surface water samples collected from sites surrounding a pharmaceutical and chemical industrial park.A total of 44 kinds of steroid hormones were detected,with concentrations ranging from 0.11 to 88.6 ng/L,revealing the presence of hormone contamination in the environmental waters surrounding industrial areas.Compared with the traditional offline SPE methods,the proposed online SPE technique significantly reduced sample volume requirements and pretreatment time,while minimizing the loss of target compounds during the pretreatment process.Moreover,compared to reported online SPE techniques,this method achieved high-throughput analysis of multiple classes of steroid hormones,with lower detection limits and higher recoveries.Overall,this method provided rapid sample preparation,high sensitivity,and excellent stability,making it suitable for the direct analysis of trace steroid hormones in surface water.