OBJECTIVE To explore the improvement effect and potential mechanism of modified Yanghe decoction on bone destruction in rats with breast cancer bone metastasis based on the receptor-interacting serine/threonine-protein kinase 1 （RIPK1）/RIPK3 pathway. METHODS The rat model of breast cancer bone metastasis was established by injecting a suspension of breast cancer cells into the bone marrow cavity. The rats with successful modeling were randomly divided into a model group （intragastric administration of equal volume of normal saline）， modified Yanghe decoction low-， medium-， and high-dose groups （intragastric administration of corresponding decoction at 1.30， 2.60 and 5.20 g/kg， calculated by the dosage of crude drug）， high-dose modified Yanghe decoction+si-RIPK1 group （intragastric administration of corresponding decoction at 5.20 g/kg， calculated by the dosage of crude drug； simultaneous injection of small interfering RNA for RIPK1 via the tail vein）， and high-dose modified Yanghe decoction+si-NC group （intragastric administration of corresponding decoction at 5.20 g/kg， calculated by the dosage of crude drug； simultaneous injection of small interfering RNA for negative control via the tail vein）， with 12 rats in each group. Another 12 healthy rats were selected as the control group and were given the same volume of normal saline intragastrically， once a day， for 14 consecutive days. Body weight was measured before administration and at the end of the last administration. The mechanical pain threshold and thermal pain threshold were measured， and the bone destruction， pathological changes and osteoclast formation of the tibia were observed. The positive expression of receptor activator of nuclear factor-κB （RANK） and receptor activator of nuclear factor-κB ligand （RANKL） in the tibial tissue， as well as the phosphorylation levels of RIPK1， RIPK3 and mixed lineage kinase domain-like protein （MLKL） were detected. RESULTS Compared with the control group， the tumor cells of tibia tissues in rats of the model group showed significant proliferation and diffuse infiltration into the bone marrow cavity. Extensive areas of tumor necrosis of cells， severe bone destruction， thinning of the bone cortex， and damage to the bone trabeculae were observed. The body weight （before administration and at the end of the last administration）， mechanical pain threshold， thermal pain threshold， and the phosphorylation levels of RIPK1， RIPK3 and MLKL were decreased significantly； the tumor volume， the proportion of bone destruction area， the number of osteoclasts， and the positive expressions of RANK and RANKL were increased/up-regulated significantly （P＜0.05）. Compared with the model group， the above pathological changes in the tibial tissues of rats in modified Yanghe decoction low-， medium- and high-dose groups were all alleviated， and all quantitative indicators showed dose-dependent improvement （P＜0.05）. After silencing RIPK1， the aforementioned beneficial effects of high-dose modified Yanghe decoction were significantly weakened （P＜0.05）.CONCLUSIONSModified Yanghe decoction can alleviate bone destruction in rats with breast cancer bone metastasis. The above effect is related to the activation of the RIPK1/RIPK3 pathway.

BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

Patients with periodontal disease often require combined periodontal-orthodontic interventions to restore periodontal health, function, and aesthetics, ensuring both patient satisfaction and long-term stability. Managing these patients involving orthodontic tooth movement can be particularly challenging due to compromised periodontal soft and hard tissues, especially in severe cases. Therefore, close collaboration between orthodontists and periodontists for comprehensive diagnosis and sequential treatment, along with diligent patient compliance throughout the entire process, is crucial for achieving favorable treatment outcomes. Moreover, long-term orthodontic retention and periodontal follow-up are essential to sustain treatment success. This expert consensus, informed by the latest clinical research and practical experience, addresses clinical considerations for orthodontic treatment of periodontal patients, delineating indications, objectives, procedures, and principles with the aim of providing clear and practical guidance for clinical practitioners.
Humans ; Consensus ; Orthodontics, Corrective/standards* ; Periodontal Diseases/complications* ; Tooth Movement Techniques/methods* ; Practice Guidelines as Topic

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 explore the mediating role of psychological and physical aggression in the association between maternal emotional symptoms with emotional and behavioral problems in preschool children, so as to provide references for effective intervention of risk factors related to childrens emotional and behavioral problems. Methods: A longitudinal study was conducted to select 12 kindergarten children and their mothers in Wuhu City, Anhui Province by using stratified clustering sampling. The baseline survey was carried out in June 2021, followed up every six months, and a total of 3 followups were administered. Totally 853 valid questionnaires of junior class children were included by the survey data from baseline, second and thirl followups. The Depression Anxiety and Stress Scale-21 (DASS-21), the Parent-Child Conflict Tactics Scales (CTSPC) and the Strength and Difficulties Questionnaire (SDQ) were used to measure maternal emotional symptoms, psychological and physical aggression, and childrens emotional and behavioral problems, respectively. Results: The physical aggression of mothers towards children in boys was higher than in girls (t=3.53, P<0.05). The results of correlation analysis showed that maternal depressive symptoms were positively correlated with psychological aggression, physical aggression and childrens SDQ scores (r=0.20, 0.21, 0.18, P<0.01), maternal anxiety symptoms were positively correlated with psychological aggression, physical aggression and childrens SDQ scores (r=0.24, 0.22, 0.10, P<0.01), respectively; maternal stress symptoms were positively correlated with psychological aggression, physical aggression. The SDQ scores were positively correlated (r=0.26, 0.25, 0.18, P<0.01), and the scores of maternal psychological aggression and physical aggression were positively correlated with the SDQ scores of children (r=0.12, 0.16, P<0.01). The mediating analysis showed that after controlling for related confounding factors, psychological aggression played a partial mediating effect in the association between maternal depressive symptoms and childrens emotional and behavioral problems, and the mediating effect ratio was 8.05%. Physical aggression played a partial mediating effect in the association between maternal depression, anxiety and stress symptoms and childrens emotional and behavioral problems, which were 15.94%, 11.73% and 12.54% (P<0.05), respectively. Conclusions Psychological and physical aggression play mediating roles in the association between maternal emotional symptoms and childrens emotional and behavioral problems, and actively improving maternal emotional symptoms and their childrens discipline methods can help reduce the occurrence of emotional and behavioral problems in preschool children.

Objective:To analyze the evaluation of the application effect and deficiency of nurses acting as standardized parents in the graduation examination of standardized residency training of pediatrics and further improve and promote the level of standardized parents.Methods:A questionnaire survey was used to collect the scores of nurse standardized parents by students and examiners who took part in the graduation examination of standardized residency training of pediatrics in 2021. And the self-evaluation scores of standardized parents were collected. Counting data were represented by the number of cases and composition ratio. A Chi-square test was used to compare the rates.Results:A total of 125 questionnaires from students and 37 questionnaires from nurse standardized parents were collected, and the overall satisfaction (very satisfied + satisfied) of standardized parents reached 121 (96.80%). In the three dimensions of simulation ability, compliance with question-and-answer rules, and simulated attitude, students believed that the consistency between standardized parents and actual parents in simulated altitude was lower than that in the simulation ability and compliance with question-and-answer rules ( P=0.007, P=0.001). The overall satisfaction of standardized parents (very satisfied + satisfied) reached 87.38% (388/444). There were 26 (70.27%) nurse standardized parents who had the lowest satisfaction with their own performance ability, followed by 28 (75.68%) cases of imitation ability and 30 (81.08%) cases of adaptability. Conclusions:It is feasible to adopt nurse standardized parents in the assessment of standardized residency training of pediatrics, and both students and examiners have higher satisfaction. The next step is to improve the training of nurses standardized parents in the attitude of simulation and, at the same time, enhance the training of imitation ability and adaptability, so as to further expand the construction of standardized parents.

Aim To investigate the effects of ber-bamine on behavioral changes in LPS-induced chronic neuroinflammation model mice and the related mecha-nisms.Methods By injecting lipopolysaccharide in-traperitoneally for seven days in a row,berbamine was given intraperitoneally as a treatment;the behavioral studies of mice in each group were identified;Nissen staining was used to observe the changes in the patho-logical morphology of the mouse hippocampus and the expression levels of inflammation-related proteins.These procedures established a mouse neuroinflamma-tion model.Results The number of neurons in the model group's hippocampal CA1 and CA3 regions was significantly smaller than that in the control group.In the water maze experiment,as the number of training days grew,the model group's escape latency increased and its retention time in the target quadrant dropped.The immobilization period of the model group mice in-creased during the forced swimming exercise.Serum levels of inflammatory factors such as IL-1β,IL-6,and TNF-α levels were also higher.The hippocampus tis-sue of the mice in the model group had higher levels of NLRP3,ASC,caspase-1,IL-18,ROCK1,ROCK2 ex-pression,and RHOA.When compared to the model group,the administration of berbamine was a therapy intervention.In the meantime,with the number of training days increased,the target quadrant lag time increased and the escape latency gradually decreased.Additionally,the model group's mice spent less time resting during forced swimming,and the serum inflam-matory factors TNF-α,IL-1β,and IL-6 decreased in mouse hippocampal tissues.Lastly,the expression lev-els of NLRP3,caspase-1,ASC,IL-1β,ROCK1,ROCK2,and RHOA all decreased in mouse hippocam-pal tissue.Conclusions The mechanism of action of berbamine,which improves lipopolysaccharide-induced depressive-like behaviors and modifies learning memory in mice,may include the NLRP3 and RHOA/ROCK signaling pathways.

Objective:To summarize the clinical phenotype and genetic characteristics of a case of autosomal dominant mental retardation-42 (MRD42) caused by GNB1 gene mutation. Methods:The clinical and genetic data of a case of MRD42 caused by a GNB1 gene missense mutation diagnosed in the Department of Neurology, Children′s Hospital Affiliated to Zhengzhou University in March 2023 were retrospectively analyzed. The child was followed-up, the child′s data were summarized, and related literature was reviewed. Results:The patient is a 6-month-old female infant, who was admitted to hospital because of "developmental delay for 3 months, intermittent convulsions for 1 month". The clinical manifestations included generalized tonic-clonic seizures, focal seizures, intellectual disability, delayed language and motor development. Long-term video electroencephalogram showed slightly slower background activity, bilateral occipital spike and wave discharges, multispike and wave complexes during sleep. Three focal onset seizures were captured. Cranial magnetic resonance imaging suggested that the subarachnoid space of the bilateral frontotemporal areas was slightly wide. Chromosome karyotype and copy number variation analysis showed no abnormality. The results of whole exon sequencing showed a de novo heterozygous missense mutation in the GNB1 gene [NM_002074:c.155(exon5)G>A;p.Arg52Gln], which had not been reported. The seizure was effectively controlled by function rehabilitation training and anti-epileptic drug therapy. Conclusions:MRD42 is a rare autosomal dominant disorder caused by mutation in the GNB1 gene. The clinical manifestations include infantile-onset seizures, mental retardation, speech and motor development delay, etc. The de novo heterozygous missense mutation in the GNB1 gene c.155G>A(p.Arg52Gln) is the genetic cause of the proband.

Objective To achieve intelligent recognition and segmentation of common craniocerebral inju-ries(hereinafter referred to as"segmentation")by training convolutional neural network DeepLabV3+model based on CT images of blunt craniocerebral injury(BCI),and to explore the value of deep learning in automated diagnosis of BCI in forensic medicine.Methods A total of 5 486 CT images of BCI from living persons were collected as the training set,validation set and test set for model training and performance evaluation.Another 255 CT images of BCI and 156 normal craniocerebral CT images from living persons were collected as the blind test set to evaluate the ability of the model to seg-ment the five types of craniocerebral injuries including scalp hematoma,skull fracture,epidural hema-toma,subdural hematoma,and brain contusion.Another 340 BCI and 120 normal craniocerebral CT images from cadavers were collected as the new blind test set to explore the application value of the model trained by living CT images in the segmentation of BCI in cadavers.The five types CT images of all BCI except the blind test set were manually labeled;then,each dataset was inputted into the model to train the model.The performance of the model was evaluated and optimized based on the loss function and accuracy curves of the training set and validation set,and the generalization ability was evaluated based on the Dice value of the test set.According to the accuracy,precision and F1 value of the blind test set,the segmentation performance of the model for five types of BCI was evaluated.Results After training and optimizing the model,the average Dice values of the final optimal model to scalp hematoma,skull fracture,epidural hematoma,subdural hematoma and brain contusion segmen-tation were 0.766 4,0.812 3,0.938 7,0.782 7 and 0.858 1,respectively,all greater than 0.75,meeting the expected requirements.External validation showed that the F1 values were 93.02%,89.80%,87.80%,92.93%and 86.57%in living CT images,respectively;83.92%,44.90%,76.47%,64.29%and 48.89%in cadaveric CT images,respectively.The above suggested that the model was able to accu-rately segment various types of craniocerebral injury on living CT images,while its segmentation ability was relatively poor on cadaveric CT images,but still able to accurately segment scalp hematoma,epidu-ral hematoma and subdural hematoma.Conclusion Deep learning model trained on CT images can be used for BCI segmentation.However,the direct use of living persons'BCI models for the identifica-tion of cadaveric BCI has some limitations.This study provides a new approach for intelligent segmen-tation of virtual anatomical data for BCI.

Objective To investigate the value of wrist MRI in bone age estimation for male adoles-cents in Shanghai,Zhejiang and Jiangsu.Methods A total of 124 Han male adolescents aged 6.0 to 18.0 years from Shanghai,Zhejiang and Jiangsu were selected as subjects.Their weight and height were measured,and T1WI and T2WI sequences of the wrist were scanned.The distal ends of the ra-dius and ulna,and the first to five metacarpal epiphyses and corresponding metaphyses were selected as observational indexes after MRI images of the wrist were obtained.The development of each index was classified(0-2 grades)by a deputy senior imaging expert,then the maximum width of each in-dex was measured by another deputy senior expert.Height,weight,classification and maximum width of indexes were used as input variables,and age was used as the target variable.Support vector ma-chine,random forest,current reality tree,and linear regression models were established to estimate the bone age,and the model with the highest accuracy was selected.Results The height,weight,classifica-tion of wrist bone epiphysis development,maximum width of each bone metaphysis and epiphysis were all correlated with age(P<0.05).The accuracies of the support vector machine were the highest when the differences between bone age and actual chronological age were within 1.0 and 1.5 years(88.7%and 96.0%,respectively).Conclusion It is feasible to estimate bone age by using MRI images.Quantifying the maximum width of the epiphysis and corresponding metaphysis of bone and combining it with MRI image classification can effectively reduce the estimation error.