Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

Objective To analyze the influencing factors of malaria infection of labor service exported to overseas in Langfang City, in order to establish a visualization tool to assist clinicians in predicting the risk of malaria. Methods A total of 4 774 expatriate employees of the Nibei Pipeline Project of the Pipeline Bureau from October 2021 to August 2023 were taken as the subjects, and the gender, age, overseas residence area and Knowledge of malaria controlscores of the study subjects were investigated by questionnaire survey, and the possible risk factors of malaria were screened by logistic regression model. At the same time, the nomogram prediction model was established, and the subjects were divided into the training group and the validation group at a ratio of 2:1, and the area under the curve (ROC) and the decision curve were plotted to evaluate the prediction ability and practicability of the prediction model in this study. Results Among the 4 774 study subjects, 96 cases of malaria occurred, and the detection rate was 2.01%. Junior school （OR=1.723，95% CI:1.361-2.173）， and residence in rural areas（OR=2.091，95%CI:1.760 -3.100）were risk factors (OR>1), while protective measures（OR=0.826，95% CI : 0.781 - 0.901） and high malaria education scores （OR=0.872，95% CI : 0.621 - 0.899）were protective factors.The nomogram prediction model results showed that the area under the curve of the nomogram prediction model in the training group was 0.94 (95% CI : 0.85 - 1.00), while the validation group was 0.93 (95% CI : 0.80 - 1.00). The results of the decision curve showed that when the threshold probability of the population was 0-0.9, the nomogram model was used to predict the risk of malaria occurrence with the highest net income. Conclusion The nomogram prediction model (including gender, education, region, protection and malaria education score) established and validated in this study is of great value for clinicians to screen high-risk patients with malaria.

The growth and development of children is an important stage for health, and its monitoringand intervention are related to the long-term development of individuals. The construction of a standardized and multi-dimensional database of pediatric growth and development-related diseases is an important basis for realizing precise diagnosis and treatment and health management. Based on the needs of clinical practice, this study proposes to establish a specialized database of pediatric growth and development-related diseases that integrates facial phenotypes and clinical diagnosis and treatment information. This study elaborates on the construction process, including data sources, data collection content, and the operation and management of the database; and proposes key points for quality control, including the establishment of quality control nodes, database construction standards, and a full-process quality control framework. The above ensure the integrity, logic and effectiveness of the data, so that the database can provide an objective basis for the screening and diagnosis of pediatric growth and development-related diseases. On the basis of scientific data management and strict quality control, the database will help reveal the patterns of children's growth and development, and promote the level of children's health management.

To explore the dose-response correlation between appendicular skeletal muscle index (ASMI) and muscle strength in older adults.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To evaluate the diagnostic value of the vesical imaging-reporting and data system（VI-RADS）for determining muscle invasion in variant histology urothelial carcinoma（VUC）of the bladder.Methods:A retrospective analysis was performed on the pathological and imaging data of 518 bladder cancer patients admitted to Jiangsu Province Hospital between January 2013 and January 2023. Patients were stratified into pure urothelial carcinoma（PUC）group（ n = 457）and variant urothelial carcinoma（VUC）group（ n = 61）based on the presence of histological variants. In the PUC group，there were 390 males（85.3%）and 67 females（14.7%），with a mean age of（66.9 ± 11.2）years. Tumor characteristics included maximum diameter ≥ 30 mm in 149（32.6%），< 30 mm in 308（67.4%），multiple tumors in 147（32.2%），solitary in 310（67.8%），pedunculated morphology in 143（31.3%）and non-pedunculated in 314（68.7%）. Histological grading identified high-grade tumors in 319 patients（69.8%）and low-grade tumors in 138（30.2%）. Pathological stage distribution included 191 of T a（41.8%），127 of T 1（27.8%），76 of T 2（16.6%），47 of T 3（10.3%），and 16 of T 4（3.5%）patients. The VUC group included 61 patients，comprising 51 males（83.6%）and 10 females（16.4%），with a mean age of（65.8 ± 11.4）years. Tumor characteristics were maximum diameter ≥ 30 mm in 38（62.3%），< 30 mm in 23（37.7%），multiple tumors in 16（26.2%），solitary in 45（73.8%），pedunculated morphology in 11（18.0%）and non-pedunculated in 50（82.0%）. Histological grading identified high-grade tumors in 59 patients（96.7%）and low-grade tumors in 2（3.3%）. Pathological stage distribution included 3 of T a（4.9%），15 of T 1（24.6%），15 of T 2（24.6%），20 of T 3（32.8%），and 8 of T 4（13.1%）patients. No statistically significant differences were found between the two groups in gender，age，or tumor multiplicity（ P > 0.05）. Statistically significant differences were found in pathological grade，pathological stage，maximum tumor diameter，and pedunculated morphology（ P < 0.05）. Furthermore，an external validation cohort of 278 bladder cancer patients treated between February 2023 and February 2024 from multiple centers（Jiangsu Provincial People’s Hospital，The First Affiliated Hospital of Zhengzhou University，Union Hospital Tongji Medical College Huazhong University of Science and Technology，Jiangsu Provincial Hospital of Traditional Chinese Medicine，Suzhou Municipal Hospital，Huaian First People’s Hospital，Yixing People’s Hospital）was retrospectively analyzed to externally validate the performance of VI-RADS scoring in predicting muscle invasion of VUC. This cohort included a PUC subgroup of 241 patients，comprising 196 males（81.3%）and 45 females（18.7%），with a mean age of（68.0 ± 10.7）years. Tumor characteristics were maximum diameter ≥ 30 mm in 85（35.3%），< 30 mm in 156（64.7%），multiple tumors in 65（27.0%），solitary in 176（73.0%），pedunculated morphology in 76（31.5%）and non-pedunculated in 165（68.5%）. Histological grading identified high-grade tumors in 175 patients（72.6%）and low-grade tumors in 66（27.4%）. Pathological staging comprised 107 patients of T a（44.4%），78 of T 1（32.4%），22 of T 2（9.1%），22 of T 3（9.1%），and 12 of T 4（5.0%）. The VUC subgroup consisted of 37 patients，comprising 29 males（78.4%）and 8 females（21.6%），with a mean age of（70.5 ± 9.5）years. Tumor characteristics were maximum diameter ≥ 30 mm in 23（62.2%），< 30 mm in 14（37.8%），multiple tumors in 9（24.3%），solitary in 28（75.7%），pedunculated morphology in 7（18.9%）and non-pedunculated in 30（81.1%）. Histological grading identified high-grade tumors in 36 patients（97.3%）and low-grade tumors in 1（2.7%）. Pathological staging comprised 1 patient of T a（2.7%），9 of T 1（24.3%），7 of T 2（18.9%），19 of T 3（51.4%），and 1 of T 4（2.7%）. In this validation cohort，no significant differences were found in gender，age，tumor multiplicity，or pedunculated morphology between the PUC and VUC subgroups（ P > 0.05）. Significant differences were observed in pathological grade，pathological stage，and maximum tumor diameter（ P < 0.05）. Three radiologists independently reviewed and scored the multiparametric MRI（mp-MRI）in a blinded manner. Inter-reader agreement was assessed using the weighted kappa statistic. Differences in variables between the two groups were compared using t-tests，chi-square tests，or Fisher’s exact test. The diagnostic performance of VI-RADS for muscle invasion in VUC and PUC was comprehensively evaluated using receiver operating characteristic（ROC）curves，the area under the curve（AUC），and cut-off values determined by the Youden’s index. The DeLong test was used to assess whether the diagnostic performance of VI-RADS differed between VUC and PUC. Results:In the retrospective single-center cohort，the AUC of VI-RADS for assessing muscle invasion was 0.895（95% CI 0.864?0.922）in the PUC group，with a cut-off value of > 3，and the AUC was 0.896（95% CI 0.791-0.960）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.986）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，positive predictive value（PPV），and negative predictive value（NPV）for diagnosing muscle invasion status in the PUC group were 85.8%（392/457），70.5%（98/139），92.5%（294/318），80.3%（98/122），and 87.8%（294/335），respectively. The corresponding values for the VUC group were 82.0%（50/61），76.7%（33/43），94.4%（17/18），97.1%（33/34），and 63.0%（17/27）.In the retrospective multicenter cohort，the AUC of VI-RADS for assessing muscle invasion was 0.891（95% CI 0.845?0.927）in the PUC group，with a cut-off value of > 2，and the AUC was 0.898（95% CI 0.754?0.973）in the VUC group，with a cut-off value of > 3. The difference between the two groups was not statistically significant（ P = 0.897）. Using a VI-RADS score > 3 as the cut-off value，the accuracy，sensitivity，specificity，PPV，and NPV for diagnosing muscle invasion status in the PUC group were 85.9%（207/241），58.9%（33/56），94.1%（174/185），75.0%（33/44），and 88.3%（174/197），respectively. The corresponding values for the VUC group were 81.1%（30/37），77.8%（21/27），90.0%（9/10），95.5%（21/22），and 60.0%（9/15）.In the single-center cohort，the Kappa values for inter-reader agreement in assessing muscle invasion status using VI-RADS were 0.881（ P < 0.01）for the PUC group and 0.941（ P < 0.01）for the VUC group among the three readers. In the multicenter cohort，the Kappa values were 0.858（ P < 0.01）for the PUC group and 0.838（ P < 0.01）for the VUC group. Conclusions:VI-RADS demonstrates similarly high diagnostic performance for assessing muscle invasion in both PUC and VUC，which is applicable for diagnosing muscle invasion status in VUC，and shows good inter-reader agreement.

Objective:It is of great significance to analyze the expression characteristics of immune-related genes in pancreatic cancer and their relationship with prognosis,construct and verify a reliable prognostic model,and explore prognostic methods of pancreatic cancer from the perspective of immune microenvironment.Methods:GSEA enrich-ment analysis of differentially expressed genes in pancreatic cancer was performed to identify key immune-related pathways and genes.The genes involved in the immune pathway were screened through the STRING database and combined with univariate Cox regression and LASSO regression analysis.Three key genes,RIPK2,IRAK2 and CXCL11,were finally identified to construct the prognostic model.The accuracy of the model was evaluated using ROC curves and calibration curves,and verified in an independent verification set(GSE57495).At the same time,the expression pat-terns of key genes in the immune microenvironment were analyzed by single-cell RNA sequencing,and the expression levels of these genes were verified in pancreatic cancer cell lines by RT-qPCR.Results:The expressions of RIPK2,IRAK2 and CXCL11 in pancreatic cancer cell lines were higher than those in normal pancreatic cancer cells(P<0.05).The model based on these three genes divided the patients into a high-risk group(n=87)and a low-risk group(n=89),and the difference in survival time between the high-risk group and the low-risk group was statistically significant(P<0.001).Risk score was correlated with G stage,N stage and tumor residue(P<0.01).Single-cell analysis showed that the ex-pression of these genes was highest in tumor-associated macrophages(mean>0.5)and correlated with regulatory T cells and macrophage infiltration(P<0.05).Multivariate analysis showed that risk score was correlated with overall sur-vival after adjusting for clinical factors(P=0.0014).Conclusion:Based on three key immune-related genes(RIPK2,IRAK2 and CXCL11),we successfully constructed a model to accurately predict the prognosis of pancreatic cancer pa-tients,revealing the important role of these genes in the tumor immune microenvironment,and providing new insights and theoretical basis for pancreatic cancer prognosis assessment and immunotherapy research.