Robotic-assisted pedicle screw placement and full-endoscopic transforaminal lumbar interbody fusion (FE-TLIF) are established minimally invasive spine techniques. Their integration has the potential to combine navigation accuracy with the muscle-preserving advantages of uniportal endoscopy. This technical note describes a hybrid approach using the Mazor X Stealth edition robotic system to enhance workflow, safety, and efficiency during FE-TLIF. A 74-year-old patient with metabolic syndrome presented with severe back and radicular leg pain that was refractory to conservative treatment. Magnetic resonance imaging demonstrated bilateral lateral recess stenosis, disc height loss, and facet arthropathy at L4–5, with dynamic instability observed on flexion-extension radiographs. Preoperative computed tomography imaging was uploaded to the robotic system for trajectory planning. Following registration, the robotic arm guided percutaneous pedicle screw placement via Wiltse incisions. Uniportal endoscopic access enabled hemilaminotomy, facetectomy, discectomy, endplate preparation, and insertion of an expandable L4–5 interbody cage under direct visualization. Robotic guidance facilitated precise screw trajectory placement without repeated fluoroscopic localization, reduced intraoperative radiation exposure, and avoided muscle disruption associated with open approaches. Endoscopic visualization enabled controlled facet resection and preservation of neural elements during cage placement. Postoperative radiographs confirmed appropriate implant positioning. The combined workflow improved surgical ergonomics and minimized tissue trauma while maintaining fusion stability. Robotic-assisted FE-TLIF represents a safe and feasible hybrid minimally invasive surgery technique that enhances pedicle screw accuracy and complements endoscopic fusion. Despite a steep learning curve, this approach may reduce perioperative morbidity, improve procedural efficiency, and enhance postoperative recovery. Further comparative studies are required to evaluate long-term clinical and radiographic outcomes.

Objective:To investigate the clinical and genetic variation characteristics of a child with autosomal dominant lateral temporal lobe epilepsy caused by de novo variation of the MICAL1 gene. Methods:Clinical data of the patient with autosomal dominant lateral temporal lobe epilepsy caused by MICAL1 gene variation diagnosed in Children′s Hospital of Soochow University in August 2019 were collected. The whole exome sequencing was performed on the core members of the family, and the characteristics of gene variations were analyzed. Results:The proband, a 10 years and 5 months old boy, was admitted to the hospital because of "intermittent convulsions for 7 years". The clinical manifestations included focal or generalized tonic-clonic seizures and hearing aura, with normal language and intellectual development. No abnormalities were found in the T 1 and fluid attenuated inversion recovery sequences of the cranial 3.0 T magnetic resonance imaging and 3D thin-slice magnetic resonance imaging.Long-range video electroencephalogram showed the distribution of spinous and slow spinous waves in the left frontal and temporal areas. The results of whole exome gene sequencing in the core family members showed heterozygous de novo missense variation in the MICAL1 gene of the proband (NM_022765): c.763G>T(exon6)(p.Val255Leu) that had not been reported. According to American College of Medical Genetics and Genomics and Association for Molecular Pathology guidelines (2015), the mutation was considered potentially pathogenic. The application of antiepileptic drugs was effective in controlling epileptic seizures. Conclusions:Auditory symptoms are main clinical manifestations for the child with autosomal dominant lateral temporal lobe epilepsy. Antiepileptic drugs can effectively control epileptic seizures of the child, and the MICAL1 gene c.763G>T (p.Val255Leu) mutation is the genetic cause of the proband.

Objective:To analyze the clinical characteristics of locally advanced rectal cancer patients with pathological complete response (pCR) after neoadjuvant chemoradiotherapy combined with immunotherapy.Methods:The retrospective cohort study was conducted. The clinicopatholo-gical data of 46 patients with locally advanced rectal cancer who were admitted to 6 medical centers, including Beijing Friendship Hospital of Capital Medical University et al, from June 2021 to November 2022 were collected. There were 29 males and 17 females, aged (61±4)years. Patients received neoadjuvant chemoradiotherapy combined with immune checkpoint inhibitor therapy, and under-went radical total mesorectal excision during 6-12 weeks after radiotherapy. Observation indicators: (1) comparison of clinical characteristics between pCR and non-pCR patients;(2) postoperative complications and adverse reactions of pCR and non-pCR patients. Comparison of measurement data with normal distribution between groups was conducted using the 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 between groups was conducted using the Mann-Whitney U test. Results:(1) Comparison of clinical characteristics between pCR and non-pCR patients. Before neoadjuvant therapy, there were 14 cases aged ≥50 years and 6 cases aged <50 years in pCR patients, versus 25 cases and 1 case in non-pCR patients, showing a significant difference between the two groups ( P<0.05). After neoadjuvant therapy, cases in clinical stage T0, T1, T2, T3, T4 were 11, 1, 5, 3, 0 for pCR patients versus 7, 4, 2, 11, 2 for non-pCR patients, cases of tumor regression grade 1, 2, 3, 4 were 11, 8, 1, 0 for pCR patients versus 7, 14, 4, 1 for non-pCR patients, cases in low-risk, medium-risk, high-risk of neoadjuvant rectal scoring and grading were 20, 0, 0 for pCR patients versus 4, 18, 4 for non-pCR patients, respectively, showing significant differences in above indicators between the two groups ( Z=-2.256, -2.104, -5.458, P<0.05). (2) Postoperative complications and adverse reactions of pCR and non-pCR patients. Postoperative complications occurred in 2 cases of pCR patients and 5 cases of non-pCR patients, postoperative adverse reactions occurred in 11 cases of pCR patients and 10 cases of non-pCR patients, showing no significant difference between the two groups ( P>0.05). Conclusion:Compared with locally advanced rectal cancer patients aged ≥50 years, those aged <50 years have significant benefits from neoadjuvant chemoradiotherapy combined with immunotherapy. Clinical T staging and magnetic resonance imaging-detected tumor regression grade after neoadjuvant therapy have predictive value for patients with pCR .

Aim To investigate the role and mechanism of RNA binding protein zinc finger protein 36(ZFP36)in vascular calcification.Methods Human aortic smooth muscle cells were infected with ZFP36-overex-pressing virus or transfected with ZFP36 siRNA,followed by high phosphate stimulation to observe the effect of overex-pression or knockdown of ZFP36 on smooth muscle cell calcification;RNA immunoprecipitation and stability experiments were used to detect whether Runx2 was the target gene of ZFP36;Smooth muscle specific ZFP36 knockout mice were generated and vitamin D was used to induce vascular calcification.Alizarin Red and Von Kossa staining were used to observe calcification of aortic vessels,and Western blot was used to detect Runx2 protein expression.Results ZFP36 expression was elevated under calcification-stimulating conditions.Overexpression of ZFP36 alleviated high phos-phate-induced smooth muscle cell calcification,while knockdown of ZFP36 exacerbated calcification.ZFP36 could bind to Runx2 mRNA and promote its degradation.At the cellular level,ZFP36 could inhibit smooth muscle cell calcification via Runx2.At the animal level,knockout of ZFP36 in smooth muscle exacerbated vascular calcification induced by vita-min D.Conclusion ZFP36 inhibits vascular calcification by targeting Runx2 mRNA and suppressing its expression in smooth muscle cells.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics* ; Humans ; Chromatin/genetics* ; Animals ; Binding Sites ; Mice ; DNA Footprinting/methods*

Purpose This study aimed to evaluate the consistency of human epidermal growth factor receptor 2(HER2)status between primary breast cancer lesions and lung metastatic lesions and to establish a prognostic model for predicting the survival rate of HER2 low expression(HER2-low)breast cancer patients with lung metastasis.Methods Clinicopathological data from a cohort of 252 patients with breast cancer and lung metastasis were retrospec-tively analyzed.Results 50.00％of the patients had HER2-low expression in metastatic lesions,and HER2-low ex-pression was the most prevalent subgroup in both primary and metastatic lesions.A discordance in HER2 status be-tween primary and metastatic sites was observed in 28.07％of cases.The most frequent shift was from HER2-zero in the primary tumor to HER2-low expression in the metastasis(12.28％of all cases).Estrogen receptor(ER)status,menopausal status,and histological type were identified as independent prognostic factors for overall survival(OS)by univariate and multivariate Cox regression analyses.A prognostic model incorporating these factors was constructed to predict 3-year and 5-year survival.The model demonstrated area under the curve(AUC)values of 0.765 and 0.780 for 3-year and 5-year OS in the training cohort,and 0.667 and 0.706 in the validation cohort,respectively.Conclu-sion HER2-low expression is the most common subtype among breast cancer patients with lung metastasis.The ob-served shift from HER2-zero in primary lesions to HER2-low in metastases underscores the clinical necessity of re-biop-sy at metastatic sites.The developed prognostic model effectively predicts OS in this patient population.

The advancement of surgical techniques enables effective treatment for many patients with oral and maxillofacial tumors.How-ever,post-surgery problems such as chewing,swallowing and speech difficulty may arise due to the defects in speech organs and inade-quate compensatory function of tissue flap repair.Speech disorders,in particular,isolate patients by making it difficult for them to com-municate with others,not only impact their quality of life but also potentially lead to psychological problems and social interaction disor-ders.Although the decline in life quality and other related issues caused by speech dysfunction due to surgery and radiotherapy or chemo-therapy have been widely recognized,there is currently no standardized and universally applicable assessment method and standardized re-habilitation treatment management guideline or consensus for speech disorders following oral and maxillofacial tumor surgery at home and abroad.Based on previous clinical practice,combined with the characteristics of speech disorders in patients after oral and maxillofacial tumor surgery,the clinical experience of the experts in maxillofacial tumor surgery and rehabilitation and the relevant domestic and foreign literature,relevant experts organized discussions and modifications,reach a consensus on core content such as the assessment of speech disorders and the implementation plan for early rehabilitation treatment management,providing a reference for clinical practice,in order to improve patients'speech-related life quality and enhance the assessment and rehabilitation treatment techniques for speech disorders after oral and maxillofacial tumor surgery.

[Summary]Glucagon-like peptide-1 receptor agonist(GLP-1RA)has been widely applied in clinic,and the possible correlation between GLP-1RA and the progression of retinopathy in clinical trials has attracted much attention.The existing basic research suggests that GLP-1RA has a certain neuroprotective effect on retina at animal level and cell level.The results of basic research and clinical trials are not completely consistent,and the exact mechanism needs further research.This paper reviews the relationship between GLP-1RA and retinopathy,pays attention to the possible risk of retinopathy and the best use strategy.

Objective: The variety and efficacy of biomarkers available that may be used objectively to diagnose major depressive disorder (MDD) in adults are unclear. This systematic review aims to identify and evaluate the variety of objective markers used to diagnose MDD in adults. Methods: The search strategy was applied via PubMed and PsycINFO over the past 10 years (2013–2023) to capture the latest available evidence supporting the use of biomarkers to diagnose MDD. Data was reported through narrative synthesis. Results: Forty-two studies were included in the review. Findings were synthesised based on the following measures: blood, neuroimagingeurophysiology, urine, dermatological, auditory, vocal, cerebrospinal fluid and combinatory—and evaluated based on its sensitivity/specificity and area under the curve values. The best predictors of blood (MYT1 gene), neuroimagingeurophysiological (5-HT1A auto-receptor binding in the dorsal and median raphe), urinary (combined albumin, AMBP, HSPB, APOA1), cerebrospinal fluid-based (neuron specific enolase, microRNA) biomarkers were found to be closely linked to the pathophysiology of MDD. Conclusion A large variety of biomarkers were available to diagnose MDD, with the best performing biomarkers intrinsically related to the pathophysiology of MDD. Potential for future research lies in investigating the joint sensitivity of the best performing biomarkers identified via machine learning methods and establishing the causal effect between these biomarkers and MDD.