Thyroid cancer is caused by multiple factors, including genetics, environment, metabolism, and the immune microenvironment, among which ionizing radiation exposure is an important risk factor for thyroid cancer. As one of the most sensitive target organs of ionizing radiation, the thyroid gland may have different risks of thyroid cancer caused by different types of ionizing radiation exposures, such as medical exposure, occupational exposure, and emergency exposure. The sensitivity of children and adolescents are higher than that of adults. The dose-response relationship still needs to be further explored. The molecular mechanism between ionizing radiation and the increased risk of thyroid cancer is complex, which may involve DNA damage and repair abnormalities, gene mutations, non-coding RNA regulation, DNA methylation, cell cycle regulation imbalance, and immune microenvironment changes. This article reviews the risk and molecular mechanisms associated with different types of ionizing radiation exposure in thyroid cancer, based on literature retrieved from CNKI and PubMed databases. It aims to provide a theoretical basis for the early monitoring, prevention, and intervention of thyroid cancer related to ionizing radiation exposure.

Temporomandibular joint osteoarthritis (TMJ-OA) is a common disease often accompanied by pain, seriously affecting physical and mental health of patients. Abnormal innervation at the osteochondral junction has been considered as a predominant origin of arthralgia, while the specific mechanism mediating pain remains unclear. To investigate the underlying mechanism of TMJ-OA pain, an abnormal joint loading model was used to induce TMJ-OA pain. We found that during the development of TMJ-OA, the increased innervation of sympathetic nerve of subchondral bone precedes that of sensory nerves. Furthermore, these two types of nerves are spatially closely associated. Additionally, it was discovered that activation of sympathetic neural signals promotes osteoarthritic pain in mice, whereas blocking these signals effectively alleviates pain. In vitro experiments also confirmed that norepinephrine released by sympathetic neurons promotes the activation and axonal growth of sensory neurons. Moreover, we also discovered that through releasing norepinephrine, regional sympathetic nerves of subchondral bone were found to regulate growth and activation of local sensory nerves synergistically with other pain regulators. This study identified the role of regional sympathetic nerves in mediating pain in TMJ-OA. It sheds light on a new mechanism of abnormal innervation at the osteochondral junction and the regional crosstalk between peripheral nerves, providing a potential target for treating TMJ-OA pain.
Animals ; Osteoarthritis/physiopathology* ; Mice ; Sympathetic Nervous System/physiopathology* ; Temporomandibular Joint Disorders/physiopathology* ; Arthralgia ; Sensory Receptor Cells ; Disease Models, Animal ; Norepinephrine ; Male ; Temporomandibular Joint/physiopathology* ; Pain Measurement

Hypoxemia is a common pathological state characterized by low oxygen saturation in the blood. This condition compromises mucosal barrier integrity particularly in the gut and oral cavity. However, the mechanisms underlying this association remain unclear. This study used periodontitis as a model to investigate the role of platelet activation in oral mucosal immunopathology under hypoxic conditions. Hypoxia upregulated methyltransferase-like protein 4 (METTL4) expression in platelets, resulting in N⁶-methyladenine modification of mitochondrial DNA (mtDNA). This modification impaired mitochondrial transcriptional factor A-dependent cytosolic mtDNA degradation, leading to cytosolic mtDNA accumulation. Excess cytosolic mt-DNA aberrantly activated the cGAS-STING pathway in platelets. This resulted in excessive platelet activation and neutrophil extracellular trap formation that ultimately exacerbated periodontitis. Targeting platelet METTL4 and its downstream pathways offers a potential strategy for managing oral mucosa immunopathology. Further research is needed to examine its broader implications for mucosal inflammation under hypoxic conditions.
DNA, Mitochondrial/metabolism* ; Mouth Mucosa/pathology* ; Hypoxia/immunology* ; Methyltransferases/metabolism* ; Blood Platelets/metabolism* ; Animals ; Periodontitis/immunology* ; Humans ; Platelet Activation ; Mice

Post-stroke depression is a common complication after a stroke. Based on the theory of ＂deficiency of heart qi leading to sadness＂recorded in Huangdi Neijing, our team proposes that deficiency of heart qi is the basic pathogenesis of post-stroke depression, with sadness being its main manifestation. Therefore, we advocate treating post-stroke depression from the perspective of the heart, and clinically, it can be divided into four stages: heart-liver stage, heart-lung stage, heart-spleen stage, and heart-kidney stage. Treating post-stroke depression with the principle of regulating qi and nourishing the heart, patients in the heart-liver and heart-lung stages are mainly middle-aged and young adults, with a pathological nature of qi stagnation and mild deficiency of heart qi, and therefore, the method of promoting the flow of meridians and regulating qi should be adopted. In contrast, patients in the heart-spleen and heart-kidney stages are mainly middle-aged and elderly, with a pathological nature of qi deficiency and severe deficiency of heart qi, and therefore, nourishment and tonification should be prioritized. In response to the above four stages, our team has achieved good clinical efficacy by administering Xiaoyao Powder, Baihe Dihuang Decoction, Ganmai Dazao Decoction and Jingui Shenqi Pill respectively. This study discusses the approach to treating post-stroke depression from the perspective of a "deficiency of heart qi leading to sadness" by examining three aspects: the theoretical basis of Chinese and Western medicine to treat post-stroke depression from the heart, the basic pathogenesis and staging of post-stroke depression, and the treatment principle of regulating qi and nourishing the heart. The study also briefly analyzes the clinical experience of the medications used for this condition to provide a reference for the treatment of post-stroke depression.

Objective To introduce and compare different trajectory analysis methods.Methods Simulation experiments were conducted to compare the effect and applicable conditions of different trajectory analysis methods under different scenarios.Dataset of SPRINT was analyzed using these methods.Results Growth mixture modeling(GMM)performed best in single trajectory analysis while group-based trajectory modeling(GBTM)and cluster analysis were able to analyze multivariate trajectory.Cluster analysis had strict requirements on follow-up data.Conclusion Each of these three methods has its own advantages,and the appropriate method can be selected according to the specific situation of the dataset.

Objective:To investigate the causal association between immune cell and different types of sepsis by using Mendelian randomization (MR) method, and to find the immune cell phenotypes causally associated with sepsis.Methods:Summary data for various circulating immune cell phenotypes were obtained from the GWAS catalog (GCST90001391-GCST90002121). Sepsis data were sourced from the UK Biobank database. Single nucleotide polymorphisms (SNP) were used as instrumental variables. The correlation threshold of P < 5×10 -6 was used to identify the strongly correlated instrumental variables, and the code was used to remove the linkage disequilibrium and the instrumental variables with F-value < 10. Inverse variance weighting (IVW) was used as the main research method to evaluate the stability and reliability of the results, including Cochran's Q test, MR-Egger regression and Leave one out. Reverse MR analysis was performed based on the immunophenotypic results of the removal of horizontal pleiotropy, and the immune cell phenotype with one-way causal association was obtained. Odds ratio ( OR) and 95% confidence interval (95% CI) were used to represent the effect value of the results. Results:CD16 on CD14 -CD16 + monocyte had horizontal pleiotropy in sepsis ( OR = 0.965?4, 95% CI was 0.933?5-0.998?3, P = 0.039?6). There were five immunophenotypes that had reverse causal associations with the types associated with sepsis. After excluding immune cell phenotypes with horizontal pleiotropy and reverse causation, a total of 42 immune cell phenotypes with sepsis, 36 immune cell phenotypes with sepsis (28-day death in critical care), 32 immune cell phenotypes with sepsis (critical care), 44 immune cell phenotypes with sepsis (28-day death), and 30 immune cell phenotypes had potential causal associations with sepsis (under 75 years old). After false discovery rate (FDR) correction, the correlations between BAFF-R on IgD - CD38br and sepsis (28-day death) were negative and strong ( OR = 0.737?8, 95% CI was 0.635?9-0.856?0, P = 6.05×10 -5, PFDR = 0.044?2). Conclusion:A variety of immune cell phenotypes may have a protective effect on sepsis, especially BAFF-R on IgD - CD38br expression is negatively correlated with sepsis (28-day death), which provides a new idea for immune modulation therapy in sepsis.

Objective:To investigate the curative effect of transvaginal sacrospinous ligamentopexy combined with traditional per-vaginam surgery in the treatment of moderate and severe pelvic organ prolapse.Methods:A total of 125 patients with moderate to severe pelvic organ prolapse admitted to the Third People′s Hospital of Yancheng from June 2021 to May 2023 were retrospectively selected as the study objects. They were divided into two groups according to the surgical methods. The observation group (73 cases) received transvaginal sacrospinous ligamentopexy combined with traditional per-vaginam surgery, and the control group (52 cases) received traditional Yin surgery. The primary outcome was anatomic cure rate between the two groups, and the secondary outcome was surgical index, quality of life and recurrence.Results:There were significant differences in the anatomical cure rate [78.1%(57/73) vs 61.5%(32/52)] and postoperative hospital stay between the observation group and the control group at 6 months after surgery (all P<0.05). There was no significant difference in operation time, amount of blood loss and pain degree 24 h after operation between the two groups ( P>0.05). There was no significant difference in Pelvic Floor Distress Inventory-Short Form 20 (PFDI-20) scores between the two groups before operation ( P>0.05). PFDI-20 scores in both groups were lower than those before surgery 6 months after surgery, and PFDI-20 scores in the observation group were lower than those in the control group, with statistical significance ( P<0.05). After follow-up, 3 cases (8.3%) recurred in the observation group and 6 cases (13.3%) in the control group. There was no statistical significance in the recurrence rate between the two groups ( P>0.05). Conclusions:Transvaginal sacrospinous ligamentopexy combined with traditional per-vaginam surgery can effectively treat moderate and severe pelvic organ prolapse, improve the quality of life of patients, and have a good long-term effect.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Objective To observe the value of ultrasound assessment of diaphragm function combined with the Medical Research Council(MRC)muscle strength score and acute physiology and chronic health Ⅱ(APACHE Ⅱ)score for predicting weaning outcome in severe pneumonia patients after mechanical ventilation.Methods Totally 102 patients with severe pneumonia who underwent mechanical ventilation were retrospectively enrolled.Spontaneous breathing trial(SBT)was performed,and diaphragmatic mobility and contraction velocity were measured before and after SBT to evaluate diaphragm function.All patients were divided into successful weaning(successful group,n=76)and failed weaning group(failure group,n=26)according to breathing condition after weaning.Univariate analysis and multivariate logistic regression were used to analyze clinical data,MRC and APACHE Ⅱ scores before SBT,as well as diaphragm function parameters before and after SBT,and the independent risk factors for weaning failure were screened,based which a combined regression model was established.The diagnostic efficacy of each independent risk factor and combined regression model was evaluated by receiver operating characteristic curve and the area under the curve(AUC).Results MRC and APACHE Ⅱ scores,diaphragmatic mobility and contraction velocity before SBT were all independent risk factors for weaning failure in severe pneumonia patients after mechanical ventilation(all P＜0.05),with AUC of 0.682,0.667,0.785 and 0.685,respectively.The AUC of combined regression model established with the above independent risk factors was 0.898,higher than that of each independent risk factor(all P＜0.05).Conclusion Ultrasound assessment of diaphragm function combined with MRC muscle strength and APACHE Ⅱ scores could effectively predict weaning outcome in severe pneumonia patients who underwent mechanical ventilation.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.