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.

ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

19 cinnamamide/ester-triazole compounds were designed, synthesized and evaluated for their anti-Alzheimer's disease (AD) activity. Among them, compound 4f displayed excellent anti-β-amyloid protein (Aβ)-mediated cytotoxicity (EC₅₀ = 2.03 ± 2.45 μmol·L^-1) in APPswe cells and acetylcholinesterase inhibiton (IC₅₀ = 4.88 ± 4.70 μmol·L^-1). Further study indicated that, at dosages of (1, 5 and 25 mg·kg^-1), compound 4f was effective in improving spatial learning and memory deficits in Aβ_1-42-impaired mice, which was achieved by promoting the nonamyloidogenic signaling and inhibiting the amyloidogenic pathway, along with the suppression of Aβ-induced Tau phosphorylation. All animal experiments in this study were approved by the Experimental Animal Care and Use Committee of the Institute of Medicinal Biotechnology (IMB-20220908D701). In conclusion, compound 4f holds promise as a lead candidate for AD treatment, and the present study lays the foundation for its subsequent development.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

ObjectiveTo investigate the influence of histone deacetylase 3 (HDAC3) on the occurrence, development of psoriasis-like inflammation in mice, and the relative immune mechanisms. MethodsHealthy C57BL/6 mice aged 6-8 weeks were selected and randomly divided into 3 groups: control group (Control), psoriasis model group (IMQ), and HDAC3 inhibitor RGFP966-treated psoriasis model group (IMQ+RGFP966). One day prior to the experiment, the back hair of the mice was shaved. After a one-day stabilization period, the mice in Control group was treated with an equal amount of vaseline, while the mice in IMQ group was treated with imiquimod (62.5 mg/d) applied topically on the back to establish a psoriasis-like inflammation model. The mice in IMQ+RGFP966 group received intervention with a high dose of the HDAC3-selective inhibitor RGFP966 (30 mg/kg) based on the psoriasis-like model. All groups were treated continuously for 5 d, during which psoriasis-like inflammation symptoms (scaling, erythema, skin thickness), body weight, and mental status were observed and recorded, with photographs taken for documentation. After euthanasia, hematoxylin-eosin (HE) staining was used to assess the effect of RGFP966 on the skin tissue structure of the mice, and skin thickness was measured. The mRNA and protein expression levels of HDAC3 in skin tissues were detected using reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR) and Western blot (WB), respectively. Flow cytometry was employed to analyze neutrophils in peripheral blood and lymph nodes, CD4⁺ T lymphocytes, CD8⁺ T lymphocytes in peripheral blood, and IL-17A secretion by peripheral blood CD4⁺ T lymphocytes. Additionally, spleen CD4⁺ T lymphocyte expression of HDAC3, CCR6, CCR8, and IL-17A secretion levels were analyzed. Immunohistochemistry was used to detect the localization and expression levels of HDAC3, IL-17A, and IL-10 in skin tissues. ResultsCompared with the Control group, the IMQ group exhibited significant psoriasis-like inflammation, characterized by erythema, scaling, and skin wrinkling. Compared with the IMQ group, RGFP966 exacerbated psoriasis-like inflammatory symptoms, leading to increased hyperkeratosis. The psoriasis area and severity index (PASI) skin symptom scores were higher in the IMQ group than those in the Control group, and the scores were further elevated in the IMQ+RGFP966 group compared to the IMQ group. Skin thickness measurements showed a trend of IMQ+RGFP966>IMQ>Control. The numbers of neutrophils in the blood and lymph nodes increased sequentially in the Control, IMQ, and IMQ+RGFP966 groups, with a similar trend observed for CD4⁺ and CD8⁺ T lymphocytes in the blood. In skin tissues, compared with the Control group, the mRNA and protein levels of HDAC3 decreased in the IMQ group, but RGFP966 did not further reduce these expressions. HDAC3 was primarily located in the nucleus. Compared with the Control group, the nuclear HDAC3 content decreased in the skin tissues of the IMQ group, and RGFP966 further reduced nuclear HDAC3. Compared with the Control and IMQ groups, RGFP966 treatment decreased HDAC3 expression in splenic CD4⁺ and CD8⁺ T cells. RGFP966 treatment increased the expression of CCR6 and CCR8 in splenic CD4⁺ T cells and enhanced IL-17A secretion by peripheral blood and splenic CD4⁺ T lymphocytes. Additionally, compared with the IMQ group, RGFP966 reduced IL-10 protein levels and upregulated IL-17A expression in skin tissues. ConclusionRGFP966 exacerbates psoriatic-like inflammatory responses by inhibiting HDAC3, increasing the secretion of the cytokine IL-17A, and upregulating the expression of chemokines CCR8 and CCR6.

ObjectiveTo explore the potential mechanisms of kidney-tonifying and blood-activating acupuncture for Alzheimer's disease. MethodsMale SAMP8 mice were randomly divided into a model group， acupuncture group， non-acupoint group， and donepezi group， with 10 mice in each group， and 10 SAMR1 mice as normal group. The acupuncture group received acupuncture at Baihui （GV 20）， Xuehai （SP 10）， Shenshu （BL 23）， and Geshu （BL 17）. Xuehai （SP 10）， Shenshu （BL 23）， and Geshu （BL 17） were stimulated on the left side first and then on the right side alternately， once a day. The non-acupoint group received acupuncture at fixed bilateral non-meridian， non-acupoint points under the ribs， once a day. The model and normal groups underwent equivalent handling and restraint stress without acupuncture. The donepezi group received 1 mg/kg donepezil via gastric gavage daily. All groups were treated for 4 weeks. After treatment， Morris water maze tests （to record orientation sailing latency， number of traverses through the platform quadrant） and open field （to record distance travelled） were used to evaluate learning and memory abilities； hippocampal neuronal damage was analyzed via HE and Nissl staining； mitochondrial membrane potential and reactive oxygen species （ROS） were measured using assay kits； Western blot and qRT-PCR were performed to detect silencing information regulator 1 （SIRT1）， peroxisome proliferator-activated receptor gamma coactivator 1-alpha （PGC-1α）， and mRNA expression levels. ResultsCompared with the normal group， mice in the model group and non-acupoint group showed elevated orientation sailing latency and relative multiplicity of ROS in hippocampal tissues， and reduced number of traverses through the platform quadrant， distance of movement in the open-field experiment， number of Nissl-staining-positive cells in the hippocampal tissues， mitochondrial membrane potential， and protein levels and mRNA expression of SIRT1， PGC-1α （P＜0.01）； HE staining showed that the hippocampal tissues of the mice was loosely arranged， with reduced number of neurons and vacuolar degeneration； Nissl staining showed that pyramidal neurons in the hippocampal region were not neatly arranged， and the number of Nissl bodies in the cytoplasm was less and the staining was lighter. Compared with the model group， mice in the acupuncture group and donepezil group had lower orientation sailing latency and relative multiplicity of ROS in the hippocampal tissue， higher number of traverses through the platform quadrant， distance of movement in the open-field experiment， number of Nissl-stained positive cells in the hippocampal tissue， mitochondrial membrane potential， and protein levels and mRNA expression of SIRT1 and PGC-1α （P＜0.01）， and HE staining and Nissl staining showed significant improvement in hippocampal histopathological damage. Compared with the donepezil group， the orientation sailing latency shortened in the acupuncture group of mice （P＜0.01）. ConclusionKidney-tonifying and blood-activating acupuncture method can alleviate the SIRT1/PGC-1α signalling pathway in the hippocampal tissue and improve the mitochondrial function， thus alleviating the neuronal damage， which is one of the possible mechanisms for its treatment of Alzheimer's disease.

Objective To investigate expression changes and regulatory roles of adhesion G protein-coupled receptor F1 (ADGRF1/GPR110) in metabolic dysfunction-associated steatohepatitis (MASH)-related hepatic fibrosis. Methods Human MASH liver tissues were collected for GPR110 detection via real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) and immunohistochemistry. Eight-week-old male C57BL/6 mice were randomly divided into four groups: control＋AAV-GFP group, control＋AAV-GPR110 group, MASH＋AAV-GFP group, and MASH＋AAV-GPR110 group. MASH was induced by high-fat with high-sucrose diet and low-dose CCl₄ intraperitoneal injections, with AAV-GPR110/AAV-GFP delivered via tail vein. Liver tissues were harvested at designated intervals (4 w, 8 w, and 12 w). Western blotting measured GPR110 expression; hematoxylin-eosin and oil red O staining assessed histology and lipid content; F4/80 and α-smooth muscle actin (α-SMA) immunofluorescence staining evaluated inflammation and fibrosis; qRT-PCR quantified hepatic expression of lipid metabolism, inflammatory, and fibrotic genes. Results GPR110 expression was significantly reduced in livers of MASH patients compared with controls (P＜0.05). MASH＋AAV-GPR110 mice exhibited lower weight, liver index, and serum lipids compared with MASH＋AAV-GFP (P＜0.05). Lipid synthesis-related gene (SCD-1), lipid uptake-related gene (CD36), gluconeogenesis-related genes (PEPCK and G-6-Pase), and inflammation-related genes (TNF-α, NF-κB, and iNOS) in liver were downregulated in MASH＋AAV-GPR110 (P＜0.05). Hepatic F4/80^＋ and α-SMA^＋ areas decreased in MASH＋AAV-GPR110 (P＜0.05). Conclusion GPR110 overexpression ameliorates hepatic lipid accumulation, reduces inflammation, and delays fibrosis in MASH.

Alpha brainwave （α brainwave） music refers to the personalized music created by the one-to-one correspondence of α brainwave brain activity signals and music elements by converting brain activity signals into music coding， and it contains rich information on brain activity. As a pattern of nursing intervention for assisting in disease treatment， it can improve the sense of tension and anxiety and help to alleviate pain， with the advantages of convenient， economic， feasible， noninvasive， and safe operation. However， the research on the clinical application of α brainwave music is still in the preliminary exploration stage. By reviewing the concept， mechanism of action， and efficacy of α brainwave music in nervous system diseases， this article points out that it is necessary to improve the application standard of α brainwave music therapy and promote the professional implementation of α brainwave music， in order to provide guidance for clinical research and promote the clinical application of α brainwave music.

As an indispensable trace element in the human body,copper plays an important role in various physiological and biochemical reactions.The dyshomeostasis of copper leads to the disorder of copper metabolism and the occurrence of related diseases.Cuproptosis,a newly proposed regulatory cell death mode,is different from the known apoptosis,pyroptosis,necroptosis,and ferroptosis.Recent studies have found that the dyshomeostasis of copper has been observed in a variety of cancers.Therefore,targeting copper for disease treatment may become a new strategy and a new idea.This article systematically summarizes the fundamental properties of copper,copper dyshomeostasis-related diseases (Menkes syndrome,Wilson's disease,and cancer) and their treatment,and reviews the research progress in cuproptosis.
Humans ; Copper/metabolism* ; Homeostasis ; Neoplasms/metabolism* ; Hepatolenticular Degeneration/metabolism* ; Menkes Kinky Hair Syndrome/metabolism*

Adverse drug reactions (ADRs) significantly impact clinical medication safety. The timely identification and prediction of ADRs rely on the efficient analysis of real-world data, such as electronic health records, social media, and spontaneous reporting databases. In recent years, the rapid advancement of artificial intelligence, particularly large language models, in natural language processing, causal reasoning, and complex data mining has provided new technological means for real-time ADRs monitoring and individualized prediction. This paper summarizes the latest research achievements in AI-driven ADRs monitoring. Focusing on diverse data sources, including structured databases and electronic health records, it elaborates on the advantages andchallenges of AI in ADRs event extraction, relationship identification, causal analysis, and risk prediction. The aim is to provide a theoretical reference for constructing more intelligent and efficient ADRs monitoring systems.