Liver fibrosis is caused by various factors such as viral infection， alcohol intake， and metabolism-related damage， leading to the replacement of normal tissue by fibrous scars. As a regulatory factor for cell proliferation， insulin-like growth factor 1 （IGF-1） participates in the regulation of cell cycle， the promotion of cell proliferation and differentiation， and the inhibition of cell apoptosis by binding to its receptor insulin-like growth factor-1 receptor （IGF-1R）. Studies have shown that the IGF-1/IGF-1R signaling pathway can regulate the process of liver fibrosis by affecting the senescence and apoptosis of hepatocytes， the activation and proliferation of hepatic stellate cells， and the dysfunction of endothelial cells. In addition， the IGF-1/IGF-1R signaling system can also regulate multiple mechanisms such as DNA damage repair， cell proliferation， lipid metabolism， cell senescence， and oxidative stress， thereby providing new strategies and potential targets for the prevention and treatment of liver fibrosis. This article summarizes the mechanism of action of IGF-1/IGF-1R and its signal transduction system in mediating liver fibrosis by regulating DNA damage repair in different cells， in order to provide a theoretical basis for the treatment of liver fibrosis.

OBJECTIVE: To investigate the clinical manifestations and genetic etiology of a fetus with Neurodevelopmental disorders with deformed facial features and distal skeletal abnormalities (NEDDFSA). METHODS: Clinical data of a NEDDFSA fetus diagnosed at the Affiliated Women and Children's Hospital Affiliated to Ningbo University in March 2025 was selected as the study subject. Whole-exome sequencing (WES) was carried out on the amniotic fluid and parental peripheral blood samples, and candidate variants was verified by Sanger sequencing. The pathogenicity of candidate variant was rated based on guidelines from the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: EC2023-094). RESULTS: At 30 weeks of gestation, the fetus was found to have microcephaly, short femur and intrauterine growth restriction. WES revealed that the fetus harbored a de novo heterozygous frameshift variant c.2633dup (p.Gly879ArgfsTer22) of the ZMIZ1 gene, which was rated as pathogenic (PM2_Supporting+PS2_Supporting+PVS1). Combined with 25 cases from the literature, the main manifestations of patients have included intellectual disability, growth retardation and cranio-limb skeletal dysplasia, albeit without clear genotype-phenotype correlation. CONCLUSION The de novo variant c.2633dup (p.Gly879ArgfsTer22) of the ZMIZ1 gene probably underlay the NEDDFSA in this fetus. Genetic testing has enabled accurate prenatal diagnosis and provided evidence for genetic counseling and reproductive guidance of this family.
Humans ; Female ; Pregnancy ; Neurodevelopmental Disorders/genetics* ; Transcription Factors/genetics* ; Fetus/abnormalities* ; Exome Sequencing ; Prenatal Diagnosis

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Metabolic associated fatty liver disease （MAFLD） is a highly prevalent chronic liver disease worldwide， and the mechanism underlying its progression to metabolic associated steatohepatitis and liver fibrosis remain unclear. Endoplasmic reticulum stress （ERS） and ferroptosis （Fer） are deeply involved in the pathological evolution of MAFLD. This article systematically reviews the core regulatory mechanisms of ERS and its role in regulating lipid metabolism， inflammation response， and cell apoptosis in MAFLD. It also analyzes the core mechanism of Fer and discusses the predisposing factors for Fer in the pathological microenvironment of MAFLD， as well as the role of Fer in exacerbating hepatocyte death and activating the progression of liver fibrosis. This article proposes that the crosstalk between ERS and Fer is a key driver for the progression of MAFLD， which provides new references and ideas for the clinical intervention of MAFLD.

Objective To investigate the effects of low-dose ionizing radiation on the thyroid status and hormone levels of radiation workers. Methods Radiation workers who underwent occupational health examinations at a hospital in Guangzhou from 2015 to 2022 were selected as the subjects of this study. The levels of FT3, FT4 and TSH were analyzed, and the thyroid abnormality status of radiation workers in different groups were compared. Results A total of 1152 participants were included in this study, consisting of 885 (76.82%) males and 267 (23.18%) females, with an average age of (35.26 ± 10.16) years. The prevalence of thyroid abnormalities was 9.38%, which was significantly higher in females (13.86%) than in males (8.02%) (P < 0.05). The TSH level of females [(2.15 ± 1.29) mIU/L] was higher than that of males [(1.85 ± 1.20) mIU/L], while the levels of FT3 [(5.10 ± 0.64) pmol/L] and FT4 [(15.84 ± 2.32) pmol/L] in females were lower than those in males [(5.23 ± 0.63) pmol/L and (16.61 ± 2.75) pmol/L, P < 0.05]. The FT3 of industrial workers [(5.25 ± 0.63) pmol/L] was higher than that of medical workers [(5.10 ± 0.63) pmol/L], while the TSH of industrial workers [(1.80 ± 1.12) mIU/L] was lower than that of medical workers [(2.15 ± 1.37) mIU/L]. FT4 levels decreased with increasing age and duration of occupational exposure. Multivariable logistic regression analysis revealed that sex was a significant independent predictor of thyroid abnormalities among radiation workers. Female workers were more likely to experience thyroid abnormalities (β = −0.62, P < 0.05). Conclusion Low-dose ionizing radiation may have a certain impact on the thyroid status of radiation workers, especially for female workers, which requires further attention and research.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

Hepatocellular carcinoma （HCC）， as the sixth most common malignant tumor worldwide， poses a serious threat to human health due to its insidious onset and high mortality rate. This article reviews the molecular mechanisms and intervention strategies of gut microbiota （GM） homeostasis in the development and progression of HCC， in order to provide new ideas for the intervention and treatment of HCC. Studies have shown that GM dysbiosis， intestinal leakage， microbial-associated molecular pattern， bacterial translocation， and metabolic products play key roles in the progression of HCC. GM imbalance may lead to immune escape， thereby promoting tumor cell proliferation and metastasis. This article elaborates on the association between GM and HCC， deeply analyzes the mechanism of action of GM in the development and progression of HCC， investigates the role of bile acid-related metabolites， short-chain fatty acid-related metabolites， and other metabolites in HCC， and explores the strategies for targeting GM in the treatment of HCC， including probiotics， prebiotics， antibiotics， Toll-like receptor 4 antagonists， and fecal microbiota transplantation. This article emphasizes that maintaining the integrity of the intestinal barrier and GM homeostasis is of great significance in the prevention and treatment of HCC， which provides a direction for developing new diagnosis and treatment strategies.

AIM:To investigate the protective effects of soy isoflavones on retinal ganglion cells(RGCs)damage in diabetic rats and related mechanisms.METHODS: Totally 80 male SD rats(80 eyes), aged 4-6 weeks, were randomly divided into four groups(n=20 per group): a control group, a diabetic model group, a low-dose soy isoflavone treatment group, and a high-dose soy isoflavone treatment group. Among them, the control group was fed normal chow, while the diabetic group, soy isoflavone low-dose-treated group, and soy isoflavone high-dose-treated group were fed high-fat chow. After a feeding period of 4 wk, rats in the diabetic group, as well as those in the soy isoflavone low-dose and high-dose treatment groups, were injected intraperitoneally with streptozotocin(STZ)at a dose of 50 mg/kg to establish a diabetic model. Rats in the control group received an equivalent volume of sodium citrate buffer acid. The soy isoflavone low-dose-treated group was administered 360 mg/kg of soy isoflavones daily via gavage, while the soy isoflavone high-dose-treated group received 540 mg/kg of soy isoflavones daily via gavage. Both the control group and the diabetic group were given an equal amount of purified water daily via gavage. Body weight and blood glucose levels were measured at 4 and 8 wk post-gavage treatment. The eyes were extracted and the retinas were dissected at 8 wk following the gavage treatment. The number of RGCs in each group was determined using immunochemical tissue staining and protein blotting techniques, while the superoxide dismutase(SOD)activity and malondialdehyde(MDA)content of the rat retinal tissue were measured through histochemical methods.RESULTS: Compared with diabetic rats, treatment with high-dose soy isoflavones for 8 wk resulted in a reduction of blood glucose to 8.9±1.23 mmol/L, an increase in intraretinal SOD activity to 849.93±63.71 U/mgprot, a decrease in MDA content to 45.77±0.59 nmol/mgprot, and an increase in the number of RGCs to 76±1 cells/mm2, which is comparable to the control group's data(all P<0.05).CONCLUSION: Soy isoflavones can reduce retinal oxidative stress in diabetic rats and protect RGCs.

BACKGROUND: Previous studies have demonstrated that short-term exposure to ambient particulate matter elevates the risk of ischemic stroke in major urban areas of various countries. However, there is a notable gap in research focusing on remote areas inhabited by ethnic minorities and the cumulative effects of air pollutants. Our study conducted in the area aims to explore the potential association between ischemic stroke and air pollutants and contribute to improving health outcomes among the community. METHODS: This retrospective observational study was conducted at the Xing'an League People's Hospital in Inner Mongolia. The medical records of 4,288 patients admitted for IS between November 1, 2019, and October 31, 2020, were reviewed. Data on demographics (age and sex), air pollutants (PM₁₀, PM_2.5, NO₂, NO, CO, and O₃), and meteorological factors (daily average temperature, daily average wind speed, and daily average atmosphere pressure) were collected and analyzed. The statistical analysis included descriptive statistics, Poisson distribution analysis to evaluate the adverse effects of atmospheric pollutants on daily hospitalizations, and subgroup analysis to determine whether gender and age could modify the impact on hospitalizations. RESULTS: A substantial correlation was revealed in single-day lags model. The peak delayed effects of PM₁₀, PM_2.5, SO₂, and NO₂ were observed at lag8 (PM₁₀ (OR = 1.016, 95%CI 1.002, 1.030), PM_2.5 (OR = 1.027, 95%CI 1.007, 1.048), SO₂ (OR = 1.153, 95%CI 1.040, 279) and NO₂ (OR = 1.054, 95%CI 1.005, 1.105)) while males exhibited a consistent trend from lag0 to lag8 (PM₁₀ (OR = 1.035, 95%CI 1.018, 1.053), PM_2.5 (OR = 1.056, 95%CI 1.030, 1.082), SO₂ (OR = 1.220, 95%CI 1.072, 1.389), NO₂ (OR = 1.126, 95%CI 1.061, 1.120), CO (OR = 10.059, 95%CI 1.697, 59.638) and O₃ (OR = 0.972, 95%CI 0.946, 0.999)). When gender and age were considered, a positive impact was also observed after three days cumulative effect in males. CONCLUSIONS There is a significant cumulative effect of exposure to air pollution on IS hospital admissions, especially the males and patients under the age of 65. Our results also suggested that a notable association between CO and NO₂ in two-pollutant models.
Humans ; Male ; Female ; Air Pollution/analysis* ; China/epidemiology* ; Retrospective Studies ; Middle Aged ; Air Pollutants/analysis* ; Aged ; Particulate Matter/analysis* ; Hospitalization/statistics & numerical data* ; Adult ; Ischemic Stroke/chemically induced* ; Environmental Exposure/adverse effects* ; Aged, 80 and over

Objective:To investigate influence of different phantoms on the results of quality control for the images of cone beam computed tomography(CBCT)for breast on the basis of quality control for breast CBCT.Methods:Five different manufacturers'phantoms were selected,and they were placed at the position of testing breast in clinical examination to conduct position for phantom according to the method of the national health industry standard WS 818-2023.The analysis focused on the differences of evaluation results of using different phantoms for image quality on the basis of a series of parameters included uniformity,resolution of high contrast,resolution of low contrast,and CT value of water in scanning images of different phantoms.Data collection and image reconstruction were performed respectively by using commonly clinical procedures.Corresponding module images were selected from the reconstructed images of standard breast phantom.The common layer thickness and projection method of the system were set to record and analyze data.Results:The image uniformity of measured results of the five phantoms were respectively 42.37±2.01,-5.83±0.15,3.76±0.15,2.16±0.06,3.60±0.10.The differences of the image uniformities among the five phantoms were statistically significant(F=1310.02,P<0.001),and the differences of the CT values of the measured water among the five phantoms were statistically significant(F=9 846.46,P<0.001).The differences in the resolution of low contrast among them were also statistically significant(F=27.50,P<0.001).However,the results of the resolution of high contrast were stability,and there was no significant difference in that among the five phantoms.Conclusion:The measured results of quality control of different phantoms are different.