During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.

This study aimed to investigate the therapeutic effect of Yindan Pinggan capsules (YDPG) on intrahepatic cholestasis (IHC) through animal experiments, while utilizing network pharmacology and molecular docking techniques to explore its potential mechanisms. Initially, the therapeutic effect of YDPG on an α-naphthylisothiocyanate (ANIT)-induced IHC mouse model was assessed through liver function tests, routine blood tests, and liver pathology analysis. Subsequently, network pharmacology tools were employed to predict the active components, core targets, and signaling pathways of YDPG. Molecular docking technology was employed to verify the binding activity of key active components of YDPG with core targets, followed by protein immunoblotting to validate the key targets. Results showed that YDPG significantly improved liver function abnormalities and hepatocyte damage in IHC mice. Network pharmacology analysis revealed that 94 active components in YDPG were associated with 396 targets for the treatment of IHC, and were significantly enriched in pathways such as the phosphatidylinositol 3-kinase (PI3K)-protein kinase B (AKT) signaling pathway, lipid metabolism, and bile secretion. Molecular docking results showed good binding activity between key active components of YDPG and core targets of the PI3K-AKT signaling pathway. Further protein immunoblotting confirmed that YDPG could reduce the phosphorylation levels of PI3K and AKT proteins, core targets of the PI3K-AKT pathway in liver tissue. These findings suggest that YDPG may alleviate biological processes such as oxidative stress and inflammatory responses by regulating the PI3K-AKT signaling pathway, thereby improving liver damage in IHC mice and exerting a therapeutic effect on IHC. This experiment has been approved by the Animal Experiment Ethics Committee of Jinan University (ethical approval number: IACUC-20241011-09).

For most patients undergoing clear aligner treatment, it could be necessary to bond multiple attachments on their tooth surfaces. The clear aligner attachment is designed to enhance aligner retention, transmit orthodontic forces, and make the programmed tooth movement more predictable. Materials such as restorative resin, orthodontic bonding adhesive, flowable resin, and resin-modified glass ionomer cement are currently used for attachment bonding. But there is currently no conclusion as to which material suits most. The objective of this review is to look into the studies published in recent years, in order to explore the optimal material option for making clear aligner attachments.

Objective:To explore the accuracy of a multi-task model based on vision Transformer for analyzing the three-dimensional (3D) upper airway and its subregions, and to evaluate its clinical applicability.Methods:According to the inclusion and exclusion criteria, cone-beam CT (CBCT) data of 10 patients [4 males and 6 females, (20.8±2.7) years] who had their first visit to the Department of Orthodontics in the Hospital of Stomatology, Wuhan University from January 2012 to January 2020 were retrospectively selected. The 3D slicer software was used to segment the upper airway and pharyngeal airway and measure their volumes as the gold standard. The Dolphin 3D software was used to segment the pharyngeal airway and its subregions and measure their volumes as the gold standard. A multi-task model based on vision Transformer developed by the research team for automatic segmentation and volume measurement of the upper airway and its subregions. All the measurements were conducted by the same attending physician. The Bland-Altman analysis and intraclass correlation coefficient ( ICC) were used to evaluate the consistency between the multi-task network and the gold standard in the upper airway segmentation and volume measurements, and the paired t test was used to compare the differences between the multi-tasking model and the gold standard. Results:The mean volume deviation of the upper airway segmented by multi-task model and 3D Slicer was -979.6 mm 3, and the ICC was 0.97. The mean volume deviation of the pharyngeal airway, nasopharynx, velopharynx, glossopharynx and hypopharynx segmented by multi-task network and Dolphin 3D were 2 069.5, -950.1, -823.6, -813.9 and 4 003.4 mm 3, respectively. In addition, ICC in pharyngeal airway, nasopharynx, velopharynx, glossopharynx and hypopharynx were 0.97, 0.94, 0.96, 0.96 and 0.69, respectively. Conclusions:The multi-task model based on vision Transformer produced different errors in the segmentation of 3D upper airway and its subregions. The segmentation of the nasopharynx, velopharynx and glossopharynx was in good agreement with the gold standard, while the segmentation of hypopharynx was poor, suggesting that the robustness and generalization of this model should be further enhanced.

Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3％,and that of non-infected group was 23.1％,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2％(95％CI:-2.3％-22.8％).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P＞0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P＞0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

This study investigates whether compounds in Salvia miltiorrhiza Bunge can bind to the Toll like receptor 4/myeloid differentiation protein 2 (TLR4/MD2) protein complex and exhibit anti-inflammatory activity. Virtual screening of reported chemical components of Salvia miltiorrhiza Bunge against TLR4/MD2 was conducted in this study. The selected compound, neoprzewaquinone A (Neo A), was tested for its impact on the binding of lipopolysaccharide (LPS) to receptors on the cell membrane, its affinity for the protein, its influence on the dimerization of TLR4 and MD2 in LPS-induced cells, and its effects on the phosphorylation of nuclear factor-κB (NF-κB) p65 protein and the secretion of inflammatory cytokines in cells. Results indicate that Neo A in Salvia miltiorrhiza Bunge exhibited the highest virtual binding affinity with TLR4/MD2, with a value of -12.8 kcal·mol^-1. Neo A significantly inhibited the binding of LPS to receptors on the cell membrane (P < 0.01). Moreover, Neo A demonstrated affinity for rhTLR4/MD2, rhTLR4, and rhMD2, with K_D values of 267, 534, and 228 nmol·L^-1, respectively. Amino acid residues like TYR131 and PHE121 in TLR4/MD2 might play a role in the alkyl and π-alkyl hydrophobic interactions with Neo A. Neo A also significantly inhibited the dimerization of TLR4 and MD2 in LPS-mediated cells (P < 0.01) and markedly suppressed the phosphorylation of NF-κBp65 protein (P < 0.05). Furthermore, Neo A significantly or markedly inhibited the secretion of nitric oxide (NO), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and interleukin-1β (IL-1β) in LPS-induced cells (P < 0.05, P < 0.01). In conclusion, Neo A exerts its anti-inflammatory effects by binding TLR4/MD2 then disrupting the binding of LPS to TLR4/MD2. It may serve as a TLR4/MD2 inhibitor with the potential to treat inflammation-related diseases targeting TLR4/MD2.

Rapid and accurate detection methods for food-borne pathogens are essential to ensure food safety and human health.One promising innovation in this area is the clustered regularly interspaced short palindromic repeats/CRISPR-associated systems(CRISPR/Cas)biosensor,which utilizes Cas protein and CRISPR RNA(crRNA)ribonucleo protein to specifically recognize target genes,and converts target signals into detectable physical and chemical signals.The CRISPR/Cas biosensor shows many advantages,such as high specificity,programmability,and ease of use,making it promising to pathogen detection.This paper introduced the principles and characteristics of CRISPR/Cas systems,along with the strategies for signal recognition,amplification,and output based on different CRISPR/Cas biosensors,and their respective applications in food-borne pathogen detection.Furthermore,the construction principles and challenges of multiple biosensors based on CRISPR/Cas were explored,as well as their potential for simultaneous detection of multiple pathogens.Finally,the challenges and future development trends of CRISPR/Cas-based biosensors in rapid pathogen detection were discussed,aiming to provide valuable reference and inspiration for biosensor designers and food safety practitioners.

The abuse and irrational use of antibiotics in human veterinary medicine has seriously endangered the ecological environment and human health.In this study,a fully automatic solid-phase disk extraction-stable isotope dilution-ultra-high performance liquid chromatography-mass spectrometry method for determination of 17 kinds of sulfonamides antibiotics(SAs)in water was established,which was then applied to determination of SAs in real samples including tap water,river water and seawater,respectively.Meanwhile,the residual characteristics were discussed and the ecological risks were assessed.With this method,1.0 L water sample with 0.5 g/L Na2EDTA(pH=3)was extracted and enriched by 3M SDB-XC disk,and eluted by 10 mL of mixture of methanol and acetone(1:1,V/V),and the pretreatment time of the sample was about 60 min per six samples.Under the optimized conditions,the linearity of the method for detection of 17 kinds of SAs ranged from 0.05 to 100 μg/L,with correlation coefficients(R2)>0.999.In addition,the detection limits(S/N=3)were as low as 0.012-0.052 ng/L,and the recoveries were in the range of 76%-110%,with relative standard deviations of 0.5%-9.6%(n=5).The results showed that no SAs was detected in tap water,while 3 and 9 kinds of SAs were detected in river water of Zhoushan,and seawater of Wenzhou Sea area in Zhejiang province,respectively.The total concentrations of the detected SAs were 0.875-21.826 ng/L and 1.024-20.768 ng/L in river water and seawater,respectively,and among which,sulfamethoxazole(SMX)was the predominant compound in river water and seawater,accounting for 81%and 74%of the total SAs,respectively.The ecological risk assessment showed that the risk quotients of the detected SAs in the river water and seawater in the study area for the three kinds of trophic organisms(algae,Daphnia and fish)were far less than 0.01,meaning that the ecological risk was low.

Malocclusion,identified by the World Health Organization(WHO)as one of three major oral diseases,profoundly impacts the dental-maxillofacial functions,facial esthetics,and long-term development of～260 million children in China.Beyond its physical manifestations,malocclusion also significantly influences the psycho-social well-being of these children.Timely intervention in malocclusion can foster an environment conducive to dental-maxillofacial development and substantially decrease the incidence of malocclusion or reduce the severity and complexity of malocclusion in the permanent dentition,by mitigating the negative impact of abnormal environmental influences on the growth.Early orthodontic treatment encompasses accurate identification and treatment of dental and maxillofacial morphological and functional abnormalities during various stages of dental-maxillofacial development,ranging from fetal stages to the early permanent dentition phase.From an economic and societal standpoint,the urgency for effective early orthodontic treatments for malocclusions in childhood cannot be overstated,underlining its profound practical and social importance.This consensus paper discusses the characteristics and the detrimental effects of malocclusion in children,emphasizing critical need for early treatment.It elaborates on corresponding core principles and fundamental approaches in early orthodontics,proposing comprehensive guidance for preventive and interceptive orthodontic treatment,serving as a reference for clinicians engaged in early orthodontic treatment.