Objective:To evaluate the clinical efficacy of the V-shaped bone tunnel technique at the base of the distal phalanx for treating tendinous mallet finger.Methods:A retrospective analysis was conducted on clinical data from patients with tendinous mallet finger treated in the Department of Hand and Foot Surgery at Linyi People’s Hospital between August 2022 and November 2023. Two oblique bone tunnels were created in a V-shaped configuration at the dorsal base of the distal phalanx, adjacent to the extensor tendon insertion, using a 0.8 mm Kirschner wire. A 4-0 double-needle monofilament tendon suture was passed through the tunnels to secure the ruptured extensor tendon to the base of the distal phalanx, followed by fixation of the distal interphalangeal (DIP) joint with a 1.0 mm Kirschner wire. The Kirschner wire was removed at 4 weeks postoperatively to initiate functional exercises. Regular follow-up was conducted to monitor wound healing and functional recovery of the DIP joint. At the final follow-up, the range of flexion and extension of the DIP joint was measured, and treatment outcomes were evaluated using Crawford’s mallet finger evaluation criteria, which classified results into four grades: excellent, good, fair, and poor.Results:Fifteen patients (16 fingers) were included, comprising 11 males and 4 females, with a mean age of 44.5 years (range: 17-65 years). The injured fingers included 2 index, 4 middle, 5 ring, and 5 little fingers, all presenting with DIP joint flexion deformity and limited active extension. Postoperative follow-up ranged from 6 to 28 months (mean: 17 months). All wounds healed primarily without complications such as infection or skin necrosis, and no cases of tendon re-rupture occurred. At the final follow-up, the measurement results of flexion and extension range of motion of the affected fingers at the DIP joint were as follows: the maximum flexion angle of all 16 fingers was 45°, among which 7 fingers had an extension angle of 0°, 8 fingers had limited extension ranging from 1° to 10°, and 1 finger had limited extension of 15°. Among the 16 fingers, 7 fingers were rated as excellent, 8 fingers as good and 1 finger as fair.Conclusion:The V-shaped bone tunnel technique for tendon-to-bone reattachment of the extensor tendon insertion is a simple and effective method for treating tendinous mallet finger. It provides satisfactory functional recovery, improves finger appearance, and is associated with minimal complications.

MicroRNA(miRNA)serves as a novel regulatory factor in viral and bacterial co-infections,exhibiting dual regulatory roles during pathogen infections.On the one hand,it exerts protective effects by modulating viral replication cycles and host anti-infection immune responses.On the other hand,it can be exploited by pathogens to promote infection progression,including influencing viral replication,antiviral immune responses,and regulating bacterial adhesion and proliferation.Mixed viral and bacterial infections lead to high mortality rates.By binding to specific target gene mRNA,miRNA degrades or inhibits its translation,thereby regulating target gene expres-sion,which may ultimately serve as potential diagnostic and therapeutic targets.This paper reviews recent ad-vances in research on the role of miRNA in viral and bacterial infections,particularly its mechanisms in co-infec-tions,aiming to provide theoretical reference for further research on the infection mechanisms.

Compared to traditional machine learning algorithms,which often suffer from low feature extraction efficiency,insufficient nonlinear pattern recognition capabilities and slow training speeds,the broad learning system(BLS)enhances the learning ability and efficiency by horizontally expanding the network structure.BLS offers advantages such as a simple structure,fast training speed,and strong generalization capabilities.While BLS has demonstrated potential in various fields,but its application in identification of complex samples has not been fully explored.This research investigated the feasibility of using BLS algorithm for identification of complex samples based on physicochemical indicators.Using the iris,wine,and breast cancer datasets,the length and width of petals and sepals of iris flowers,the physicochemical properties of wine,and the nuclear characteristics of breast cancer cells were used as input variables to establish BLS models for identifying iris species,wine varieties,and benign versus malignant nucleus.The model performance was evaluated by confusion matrices,accuracy,and runtime.Compared with partial least squares-discriminant analysis(PLS-DA),soft independent modeling of class analogies(SIMCA),and artificial neural networks(ANN),the results indicated that BLS demonstrated significant advantages in computational efficiency and recognition accuracy.Thus,BLS was an efficient and reliable method for identification of complex samples.

MicroRNA(miRNA)serves as a novel regulatory factor in viral and bacterial co-infections,exhibiting dual regulatory roles during pathogen infections.On the one hand,it exerts protective effects by modulating viral replication cycles and host anti-infection immune responses.On the other hand,it can be exploited by pathogens to promote infection progression,including influencing viral replication,antiviral immune responses,and regulating bacterial adhesion and proliferation.Mixed viral and bacterial infections lead to high mortality rates.By binding to specific target gene mRNA,miRNA degrades or inhibits its translation,thereby regulating target gene expres-sion,which may ultimately serve as potential diagnostic and therapeutic targets.This paper reviews recent ad-vances in research on the role of miRNA in viral and bacterial infections,particularly its mechanisms in co-infec-tions,aiming to provide theoretical reference for further research on the infection mechanisms.

The integration of traditional Chinese and Western medicine is a crucial contemporary medical model widely utilized today.Modern medicine is intricately linked to"data"and"calculation".The key to the high-quality development of integrated Chinese and Western medicine is to realise the in-depth integration of information technology and modern medicine,including tackling the three major scientific problems(algorithm establishment,queue creation and data quality),introducing laws and policies,fostering cross-innovation talents in integrated Chinese and Western medicine,and regulating standards.At the same time,adhering to the principle of integrity and innovation,and being firm in cultural self-confidence are important factors in promoting the healthy,rapid and sustainable development of the cause of integrative Chinese and Western medicine and traditional Chinese medicine.

The integration of traditional Chinese and Western medicine is a crucial contemporary medical model widely utilized today.Modern medicine is intricately linked to"data"and"calculation".The key to the high-quality development of integrated Chinese and Western medicine is to realise the in-depth integration of information technology and modern medicine,including tackling the three major scientific problems(algorithm establishment,queue creation and data quality),introducing laws and policies,fostering cross-innovation talents in integrated Chinese and Western medicine,and regulating standards.At the same time,adhering to the principle of integrity and innovation,and being firm in cultural self-confidence are important factors in promoting the healthy,rapid and sustainable development of the cause of integrative Chinese and Western medicine and traditional Chinese medicine.

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*

Objective:To evaluate the clinical efficacy of the V-shaped bone tunnel technique at the base of the distal phalanx for treating tendinous mallet finger.Methods:A retrospective analysis was conducted on clinical data from patients with tendinous mallet finger treated in the Department of Hand and Foot Surgery at Linyi People’s Hospital between August 2022 and November 2023. Two oblique bone tunnels were created in a V-shaped configuration at the dorsal base of the distal phalanx, adjacent to the extensor tendon insertion, using a 0.8 mm Kirschner wire. A 4-0 double-needle monofilament tendon suture was passed through the tunnels to secure the ruptured extensor tendon to the base of the distal phalanx, followed by fixation of the distal interphalangeal (DIP) joint with a 1.0 mm Kirschner wire. The Kirschner wire was removed at 4 weeks postoperatively to initiate functional exercises. Regular follow-up was conducted to monitor wound healing and functional recovery of the DIP joint. At the final follow-up, the range of flexion and extension of the DIP joint was measured, and treatment outcomes were evaluated using Crawford’s mallet finger evaluation criteria, which classified results into four grades: excellent, good, fair, and poor.Results:Fifteen patients (16 fingers) were included, comprising 11 males and 4 females, with a mean age of 44.5 years (range: 17-65 years). The injured fingers included 2 index, 4 middle, 5 ring, and 5 little fingers, all presenting with DIP joint flexion deformity and limited active extension. Postoperative follow-up ranged from 6 to 28 months (mean: 17 months). All wounds healed primarily without complications such as infection or skin necrosis, and no cases of tendon re-rupture occurred. At the final follow-up, the measurement results of flexion and extension range of motion of the affected fingers at the DIP joint were as follows: the maximum flexion angle of all 16 fingers was 45°, among which 7 fingers had an extension angle of 0°, 8 fingers had limited extension ranging from 1° to 10°, and 1 finger had limited extension of 15°. Among the 16 fingers, 7 fingers were rated as excellent, 8 fingers as good and 1 finger as fair.Conclusion:The V-shaped bone tunnel technique for tendon-to-bone reattachment of the extensor tendon insertion is a simple and effective method for treating tendinous mallet finger. It provides satisfactory functional recovery, improves finger appearance, and is associated with minimal complications.

Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in medical imaging across a variety of modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET), and pathological imaging. However, most existing state-of-the-art AI techniques are task-specific and focus on a limited range of imaging modalities. Compared to these task-specific models, emerging foundation models represent a significant milestone in AI development. These models can learn generalized representations of medical images and apply them to downstream tasks through zero-shot or few-shot fine-tuning. Foundation models have the potential to address the comprehensive and multifactorial challenges encountered in clinical practice. This article reviews the clinical applications of both task-specific and foundation models, highlighting their differences, complementarities, and clinical relevance. We also examine their future research directions and potential challenges. Unlike the replacement relationship seen between deep learning and traditional machine learning, task-specific and foundation models are complementary, despite inherent differences. While foundation models primarily focus on segmentation and classification, task-specific models are integrated into nearly all medical image analyses. However, with further advancements, foundation models could be applied to other clinical scenarios. In conclusion, all indications suggest that task-specific and foundation models, especially the latter, have the potential to drive breakthroughs in medical imaging, from image processing to clinical workflows.
Humans ; Artificial Intelligence ; Deep Learning ; Diagnostic Imaging/methods* ; Magnetic Resonance Imaging ; Tomography, X-Ray Computed ; Positron-Emission Tomography