China is currently in an accelerated stage of population aging, and brain diseases pose a significant threat to the health of the elderly. " Preventing brain aging and maintaining brain health" has become a high-level goal of healthy aging. During the process of aging, the physiological and psychological states of elderly people change, making them prone to nervousness and exhaustion, which can disturb the brain spirit, damage the brain collaterals, and severely endanger brain health. Starting from the holistic view of cultivating both body and spirit in traditional Chinese medicine, based on the physical and mental characteristics of the elderly, this paper applies the concept and method of " relaxation and tranquility" in the protection of elderly brain health, focusing on maintaining relaxation and tranquility in both physical and mental aspects. Specific measures include emphasizing subjective consciousness, relaxing the heart and calming down; utilizing the daoyin method, relaxing the body and calming down, combining relaxation and tranquility, cultivating both body and spirit to prevent diseases and protect the brain, which enables the elderly to have a healthy mind and body, a sense of happiness and fulfillment, and to age gracefully. Simultaneously, advocating for tranquility is also called " respect" for relaxation, following nature to understand constant changes, and improving one′s ability to think positively in old age, in order to expand ideas for the protection of elderly brain health.

Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.

Objective To analyze the medication rules of traditional Chinese medicine compound patents for the prevention and treatment of urinary tract infection(UTI)through data mining technology.Methods The patents of traditional Chinese medicine compounds for the prevention and treatment of UTI in patent announcement module of China National Intellectual Property Administration website as data sources.The statistical analysis platforms of Excel 2021,IBM SPSS Modeler 18.0 and IBM SPSS Statistics 27.0 were used for frequency of use,medicinal properties,association rule analysis,and systematic clustering analysis and finally visualized by Cytoscape 3.7.2,RStudio.Results Through screening,a total of 179 compound patents met the inclusion criteria,involving 466 kinds of Chinese materia medica,and the top 5 high-frequency drugs were Pugongying,Huangbai,Gancao,Jinyinhua,Bianxu.The medicinal properties are mainly cold and mild;The medicinal taste is characterized by sweetness,bitterness,and bitterness;The main meridians of drugs are liver,lung and kidney meridians.Common couplet medicines included Qumai-Bianxu,Gancao-Bianxu and the three herb drug combinations included Cheqianzi-Qumai-Bianxu,Gancao-Qumai-Bianxu.A total of 5 high-frequency combinations of traditional Chinese medicine were obtained by cluster analysis.Conclusion This study preliminarily reveals the compatibility and medication rules of traditional Chinese medicine in the treatment of UTI,which provides data support for the optimization of clinical syndrome differentiation and treatment system and the development of new prescriptions.

Objective:To explore the genetic characteristics of a Chinese pedigree with rare mosaic 11q partial duplication and its pathogenetic mechanisms.Methods:A pedigree which underwent prenatal diagnosis at Wenzhou Central Hospital between September 25, 2015 and November 30, 2023 was selected for the study. Clinical data were collected from the pedigree. Peripheral blood samples from the parents, amniotic fluid from the fetus, and peripheral blood sample from the neonate were obtained. Genetic testing was carried out by using G-banded chromosomal karyotyping and single nucleotide polymorphism array (SNP-array) technology. Relevant literature was searched in the CNKI, Wanfang Data Knowledge Service Platform, and PubMed databases to summarize the clinical phenotypes of patients with 11q partial duplication. This study was approved by the Medical Ethics Committee of Wenzhou Central Hospital (Ethics No. L2024-07-080).Results:The pregnant woman (G 3) had a history of adverse pregnancy outcomes. During her first pregnancy (G 1), prenatal ultrasound indicated intrauterine growth restriction and a Dandy-Walker variant. Follow-up at 8 years of age showed developmental delays and mild intellectual disability. During her second pregnancy (G 2), prenatal ultrasound revealed nasal bone hypoplasia, and the pregnancy was terminated at 23rd gestational week. During her third pregnancy (G 3), all prenatal tests were normal, and the neonate showed normal growth and development at 4 months of age. The karyotype of amniotic fluid of her first pregnancy was 46, X? , and the SNP-array analysis of neonatal peripheral blood showed arr[GRCh37/hg19]11q13.4q25(70432450_134607121)×2~3, with a mosaicism rate being approximately 40%. The karyotype for her second pregnancy was 46, X? , rec(11)dup(11q)inv(11)(p15q13)dmat[6]/46, X? [27], and the SNP-array result was arr[GRCh38]11q13.4q25(71406636_135067522)×2~3, with a mosaicism rate being approximately 75%. The karyotype for her third pregnancy was 46, X? , inv(11)(p15q13)mat, and the SNP-array result was arr(XN)×1, (1~22)×2. The karyotype of the woman was 46, XX, inv(11)(p15q13), and that of her husband was 46, XY. A review of 12 similar cases (including G 1) from the literature revealed that the common clinical phenotypes of 11q partial duplication included intellectual disability (12/12), developmental delay (12/12), ear abnormalities (12/12), microcephaly (10/12), seizures (8/12), hypotonia (8/12), and congenital heart malformations (7/12). Conclusion:Mosaic partial duplication of 11q may underlie the genetic etiology of this pedigree. The pregnant woman is a carrier of an inversion on chromosome 11, which might have formed the mosaic 11q partial duplication through meiotic errors and mitotic trisomy rescue mechanisms during reproduction.

Objective : To explore the correlation between uteroglobulin-related protein 1(UGRP1) and primary hypothyroidism. Methods : Ninety-six patients with primary hypothyroidism were selected, including 66 patients with positive thyroid peroxidase antibodies(TPOAb) or anti-thyroglobulin antibodies(ATG) as the antibody-positive group, 30 patients with negative thyroid autoantibodies as the antibody-negative group, and 96 healthy people as the control group. The general clinical data, thyroid-related indicators and serum UGRP1 levels were compared among these three groups. Human thyroid normal cells(NTHY-ORI 3-1) were transfected with plasmids in vitro, thus establishing the control group as well as the UGRP1 group. Enzyme linked immunosorbent assay(ELISA) was used to detect and compare the T4 level in the cell culture supernatant. Results : The differences in thyroid stimulating hormone(TSH), TPOAb and ATG among the three groups were statistically significant(P<0.05). The serum UGRP1 levels in the antibody-positive(303.97±156.00) pg/ml and antibody-negative groups(352.13±188. 37) pg/ml were higher than those in the control group( 237. 54 ± 137. 20) pg/ml,and the differences between the groups were statistically significant( P = 0. 005). Meanwhile,there was no statistically significant difference between the antibody-positive and antibody-negative groups. Multi-factor Logistic regression analysis showed that UGRP1 was the risk factor for the occurrence of primary hypothyroidism( OR = 1. 004,95% CI: 1. 001-1. 007,P =0. 007). The difference between the control group and UGRP1 group in T4 concentration secreted by human thyroid normal cells was not statistically significant. Conclusion Serum UGRP1 levels increase in patients with primary hypothyroidism,and the high expression of UGRP1 may have no direct relation to the function of thyroid cells secreting T4.

Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.

Objective:To analyze the research trends and hotspots of bupivacaine liposomes from 1994 to 2023 using bibliometrics.Methods:A comprehensive search was conducted for the literature related to bupivacaine liposomes in the Web of Science Core Collection from 1994 to 2023. The CiteSpace software was used to conduct an in-depth analysis of the included literature data, including publication year, country, institution, author, journal, cited references, keywords, etc.Results:A total of 875 papers related to bupivacaine liposomes were included. The research and development of bupivacaine liposomes were divided into 3 stages: slow development (1994-2011), a sharp rise (2011-2021), and stabilization (2021-2023). The United States was in a leading position in terms of the number of publications, centrality, and author cooperation, and Harvard University had the largest number of publications. de Paula E had the most publications, Bramlett K had the highest number of citations, and Boogaerts J had the highest centrality of publications. Journals such as Anesthesia and Analgesia made significant contributions to this field. The most cited references focused on the infiltration of wounds and the periprosthetic injection of bupivacaine liposomes. The keyword analysis showed that local anesthetics, postoperative pain, etc. were commonly used keywords, and enhanced recovery after surgery was an emerging hotspot. Conclusions:Bupivacaine liposomes show good application prospects in the field of peripheral nerve block due to their unique pharmacological properties and safety characteristics and are expected to prolong the duration of postoperative analgesia. However, there is a difference between the actual effect and the expectation, and more clinical trials are needed to evaluate the curative effect, providing a more solid and reliable theoretical basis and practical guidance for clinical practice.

Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury（AKI）risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital，Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients［defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate（eGFR）within 48 hours sustained for >24 hours］and 316 non-AKI patients（1∶3 ratio，randomly matched with 16 additional cases for redundancy）. Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females，with a median age of 57（49，65）years，body mass index of（24.1 ± 3.3）kg/m2，preoperative eGFR of（88.5 ± 18.3）ml/（min·1.73 m2），postoperative eGFR（48-hour）of（76.0 ± 21.9）ml/（min·1.73 m2），Zhongshan Score（ZSscore）of 7.34 ± 2.01，and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training（n = 312）and test（n = 104）sets（3∶1 ratio）. A clinical model was constructed via multivariate logistic regression，while radiomic and combined（clinical + radiomic）models utilized an artificial neural network（ANN）with 1 input layer，5 hidden layers，1 output layer，and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic（ROC）curves and area under the curve（AUC），and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations（SHAP）. Results:In the test set，the results of multivariate logistic regression showed that patient’s weight，preoperative eGFR，R.E.N.A.L. score，surgical approach，and operation time were risk factors for AKI（ P < 0.05）. The AUC of the clinical feature prediction model constructed based on the above factors was 0.852（95% CI 0.775?0.929）. In the test set，the AUC of the Martini model was 0.725（95% CI 0.565?0.791）. The radiomic model，trained on 1 315 imaging features，achieved an AUC of 0.898（95% CI 0.804?0.993）with 94.2%（98/104）accuracy. The combined clinical and radiomic model，integrating 1 315 radiomic features and clinical features，demonstrated superior performance with an AUC of 0.946（95% CI 0.887?1.000）and 96.2%（100/104）accuracy，outperforming both the clinical model（ P = 0.03）and the Martini model（ P < 0.01）. SHAP analysis identified the top five predictors in the combined model：ZSscore（SHAP value：0.78），long-run low gray-level emphasis（SHAP value：0.61），run-length non-uniformity（SHAP value：0.58），size-zone non-uniformity（SHAP value：0.46），and gray-level co-occurrence matrix joint energy（SHAP value：0.36）. Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy，offering a novel strategy for preoperative risk stratification and personalized intervention.

Objective To explore the application value of MR MAGiC sequence reconstructed based on deep learning reconstruction(DLR)for localizing epileptogenic focus of intractable epilepsy.Methods Fifty intractable epilepsy patients(epilepsy group)and 20 healthy controls(control group)were retrospectively collected.Brain MR MAGiC sequence was scanned,then traditional reconstruction(inverse Fourier transform)and DLR algorithm were performed to obtain MAGiC and MAGiC DLR images,respectively.The corresponding quantitative parameter maps were generated after post-processing,including T1 mapping,T2 mapping and proton density(PD)mapping.The subjective scores of noise,artifacts,structural clarity and overall quality were compared between two kinds of quantitative parameter images.The asymmetry index(AI)of quantitative parameters(T1,T2 and PD values)between the affected side and the contralateral side in epilepsy group,the contralateral side or the suspected epileptogenic focus in epilepsy group and HC group were calculated.Then epileptogenic focus were localized based on performance of MAGiC and MAGiC DLR corresponding quantitative parameter maps combining obtained AI of quantitative parameter values.According to surgical results,follow-up review,electroencephalogram or PET results,the accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was calculated.Results Compared with MAGiC quantitative parametric maps,noise of MAGiC DLR quantitative parametric maps reduced,while subjective scores of structure clarity and overall quality improved(all P＜0.05).The accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was 82.00％(41/50)and 88.00％(44/50),respectively.Conclusion MR MAGiC sequence based on DLR was beneficial for improving accuracy of localizing epileptogenic focus in intractable epilepsy.

OBJECTIVE: To explore the genetic characteristics of a Chinese pedigree with rare mosaic 11q partial duplication and its pathogenetic mechanisms. METHODS: A pedigree which underwent prenatal diagnosis at Wenzhou Central Hospital between September 25, 2015 and November 30, 2023 was selected for the study. Clinical data were collected from the pedigree. Peripheral blood samples from the parents, amniotic fluid from the fetus, and peripheral blood sample from the neonate were obtained. Genetic testing was carried out by using G-banded chromosomal karyotyping and single nucleotide polymorphism array (SNP-array) technology. Relevant literature was searched in the CNKI, Wanfang Data Knowledge Service Platform, and PubMed databases to summarize the clinical phenotypes of patients with 11q partial duplication. This study was approved by the Medical Ethics Committee of Wenzhou Central Hospital (Ethics No. L2024-07-080). RESULTS: The pregnant woman (G₃) had a history of adverse pregnancy outcomes. During her first pregnancy (G₁), prenatal ultrasound indicated intrauterine growth restriction and a Dandy-Walker variant. Follow-up at 8 years of age showed developmental delays and mild intellectual disability. During her second pregnancy (G₂), prenatal ultrasound revealed nasal bone hypoplasia, and the pregnancy was terminated at 23rd gestational week. During her third pregnancy (G₃), all prenatal tests were normal, and the neonate showed normal growth and development at 4 months of age. The karyotype of amniotic fluid of her first pregnancy was 46,X?, and the SNP-array analysis of neonatal peripheral blood showed arr[GRCh37/hg19]11q13.4q25(70432450_134607121)×2~3, with a mosaicism rate being approximately 40%. The karyotype for her second pregnancy was 46,X?,rec(11)dup(11q)inv(11)(p15q13)dmat[6]/46,X?[27], and the SNP-array result was arr[GRCh38]11q13.4q25(71406636_135067522)×2~3, with a mosaicism rate being approximately 75%. The karyotype for her third pregnancy was 46,X?,inv(11)(p15q13)mat, and the SNP-array result was arr(XN)×1,(1~22)×2. The karyotype of the woman was 46,XX,inv(11)(p15q13), and that of her husband was 46,XY. A review of 12 similar cases (including G₁) from the literature revealed that the common clinical phenotypes of 11q partial duplication included intellectual disability (12/12), developmental delay (12/12), ear abnormalities (12/12), microcephaly (10/12), seizures (8/12), hypotonia (8/12), and congenital heart malformations (7/12). CONCLUSION Mosaic partial duplication of 11q may underlie the genetic etiology of this pedigree. The pregnant woman is a carrier of an inversion on chromosome 11, which might have formed the mosaic 11q partial duplication through meiotic errors and mitotic trisomy rescue mechanisms during reproduction.
Adult ; Female ; Humans ; Male ; Pregnancy ; China ; Chromosome Duplication ; Chromosomes, Human, Pair 11/genetics* ; East Asian People/genetics* ; Karyotyping ; Mosaicism ; Pedigree ; Polymorphism, Single Nucleotide ; Prenatal Diagnosis