Perimenopausal depression （PMD） is an affective disorder that occurs in women during the transition from sexual maturity to old age. It can induce various complications， such as insomnia and cognitive decline. The etiology of PMD is complex. Although multiple hypotheses have been proposed， there is still no unified theory that fully explains its pathogenesis. Research into its mechanisms relies heavily on animal experiments， and establishing reliable animal models is crucial for experimental studies. Appropriate animal models can better simulate human pathophysiological states， rapidly evaluate the efficacy and safety of drugs and intervention methods， grasp the essence of the disease， and uncover its intrinsic connections， thereby exploring more advanced intervention strategies. However， there is a lack of systematic review and summarization of literature related to model construction. Additionally， traditional Chinese medicine （TCM）， adhering to the principles of ''syndrome differentiation and treatment'' and ''holistic concept''， has shown significant efficacy in treating PMD. In recent years， research exploring and analyzing its therapeutic mechanisms has been increasing. Therefore， to gain a clearer and more comprehensive understanding of PMD animal modeling methods and the mechanisms of TCM， this paper reviewed Chinese and English literature on PMD animal models and mechanisms of TCM in PMD treatment. It summarized the construction methods of single-factor and multi-factor PMD models， and discussed the advantages and disadvantages of each modeling approach. Furthermore， it delved into the mechanisms of TCM intervention in PMD， revealing that TCM formulas primarily exert their effects by regulating the hypothalamic-pituitary-adrenal axis， hypothalamic-pituitary-ovarian axis， gut-brain axis， cell signaling pathways， neural circuits， hormone levels， and neurotransmitter levels. This review aims to provide a reference for future research in this field. In summary， by summarizing the progress in the methods for PMD animal model construction and the mechanisms of TCM， the paper seeks to offer new insights into the mechanistic research of TCM intervention in PMD.

Diabetes mellitus type 2 (T2DM) is one of the most common metabolic diseases in the world and has a significant impact on the health of patients. As a key factor in cellular mechanical transduction, Piezo1 protein plays a crucial role in regulating the basic life activities of the body. By participating in energy metabolism, it not only promotes the improvement of basic metabolic rate, but also helps to maintain the stability of the internal environment of the body. The activation of Piezo1 pathway has a significant effect on the release of insulin by islet beta cells, and also plays an important role in the production of adipose tissue after food intake. This study reviews the effects of exercise intervention on the expression and function of Piezo1 protein, as well as its role in metabolic regulation and insulin level regulation in T2DM patients. The study showed that a modest exercise intervention activated Piezo1 signaling pathway, which improved insulin sensitivity and improved sugar metabolism. In addition, the activation of Piezo1 pathway is closely related to the metabolic regulation of adipose tissue, helping to regulate the differentiation and maturation of adipose cells, thereby affecting the metabolic function of adipose tissue. Based on a comprehensive analysis of existing literature, Piezo1 pathway is found to play a complex role in the pathogenesis of T2DM. Exercise intervention, as a non-drug therapy, provides a new strategy for the treatment of T2DM by activating Piezo1 signaling pathway. However, the exact mechanism of action of Piezo1 pathway in T2DM still needs further investigation. Future studies should focus on the interaction between the Piezo1 pathway and T2DM, and how to regulate the Piezo1 pathway to optimize treatment for T2DM. The effects of exercise intervention on Piezo1 protein and its role in metabolic regulation and insulin level regulation of T2DM patients were comprehensively analyzed in this paper, aiming to provide a new perspective for further research and development of therapeutic strategies for metabolic diseases such as diabetes and obesity.

Biliary atresia is often complicated with portal hypertension, which induces a series of hemodynamic changes leading to splenomegaly. Splenomegaly is a common in patients with biliary atresia, which indicates the status of portal hypertension, esophageal varices, and the progression of hepatic fibrosis. Furthermore, it can help monitor the native liver survival status after Kasai procedure and the need for liver transplantation. For patients with biliary atresia presenting splenomegaly and/or hypersplenism, the treatment strategy, involving the pharmacological or surgical options, should be individually selected based on specific clinical condition. This article reviews the value of splenomegaly in the diagnosis and management of biliary atresia, aiming to provide references for clinical practice.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

eIF3a is a N ⁶-methyladenosine (m⁶A) reader that regulates mRNA translation by recognizing m⁶A modifications of these mRNAs. It has been suggested that eIF3a may play an important role in regulating translation initiation via m⁶A during infection when canonical cap-dependent initiation is inhibited. However, the death of animal model studies impedes our understanding of the functional significance of eIF3a in immunity and regulation in vivo. In this study, we investigated the in vivo function of eIF3a using eIF3a knockout and knockdown mouse models and found that eIF3a deficiency resulted in splenic tissue structural disruption and multi-organ damage, which contributed to severe sepsis induced by Lipopolysaccharide (LPS). Ectopic eIF3a overexpression in the eIF3a knockdown mice rescued mice from LPS-induced severe sepsis. We further showed that eIF3a maintains a functional and healthy immune system by regulating B cell function and quantity through m⁶A modification of mRNAs. These findings unveil a novel mechanism underlying sepsis, implicating the pivotal role of B cells in this complex disease process regulated by eIF3a. Furthermore, eIF3a may be used to develop a potential strategy for treating sepsis.

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OBJECTIVES: To investigate the chain mediating role of family care and emotional management in the relationship between social support and anxiety among rural primary school students. METHODS: A questionnaire survey was conducted among students in grades 4 to 6 from four counties in Hunan Province. Data were collected using the Social Support Rating Scale, Family Care Index Scale, Emotional Intelligence Scale, and Generalized Anxiety Disorder -7. Logistic regression analysis was used to explore the influencing factors of anxiety symptoms. Mediation analysis was conducted to assess the chain mediating effects of family care and emotional management between social support and anxiety. RESULTS: A total of 4 141 questionnaires were distributed, with 3 874 valid responses (effective response rate: 93.55%). The prevalence rate of anxiety symptoms among these students was 9.32% (95%CI: 8.40%-10.23%). Significant differences were observed in the prevalence rates of anxiety symptoms among groups with different levels of social support, family functioning, and emotional management ability (P<0.05). The total indirect effect of social support on anxiety symptoms via family care and emotional management was significant (β=-0.137, 95%CI: -0.167 to -0.109), and the direct effect of social support on anxiety symptoms remained significant (P<0.05). Family care and emotional management served as significant chain mediators in the relationship between social support and anxiety symptoms (β=-0.025,95%CI:-0.032 to -0.018), accounting for 14.5% of the total effect. CONCLUSIONS Social support can directly affect anxiety symptoms among rural primary school students and can also indirectly influence anxiety symptoms through the chain mediating effects of family care and emotional management. These findings provide scientific evidence for the prevention of anxiety in primary school students from multiple perspectives.
Humans ; Female ; Male ; Social Support ; Anxiety/etiology* ; Child ; Students/psychology* ; Emotions ; Logistic Models

AIM:To investigate the effects of macrophage galactose-type lectin 1(Mgl1)gene deletion on he-matopoietic stem/progenitor cells(HSPCs)under steady-state conditions and inflammation.METHODS:Mice were di-vided into a control group(wild-type)and an experimental group(Mgl1 gene-deleted).Flow cytometry was used to ana-lyze the proportions of various hematopoietic cell lineages in the peripheral blood and bone marrow of both groups,assess-ing the impact of Mgl1 gene deletion on steady-state hematopoiesis(n=3～4).Transplantation and colony-forming assays were utilized to evaluate the effects of Mgl1 gene deletion onthe repopulation capacity and colony-forming ability of HSPCs(n=5).The LPS-induced inflammation model was employed to examine the effects of Mgl1 gene deletion on the inflamma-tory response of HSPCs both in vitro and in vivo(n=5～8).Western blot and RT-qPCR were conducted to analyze the alter-ations in signaling pathways regulated by Mgl1 in the inflammatory response of HSPCs(n=3).RESULTS:(1)Mgl1 gene deletion had no significant effecton steady-state hematopoiesis(P>0.05).(2)Mgl1 gene deletion promoted inflam-mation-induced cell differentiation of HSPCs(P<0.01).(3)Mgl1 gene deletion accelerated the exhaustion of HSPCs un-der prolonged inflammatory conditions(P<0.01).(4)Mgl1 was found to regulate the inflammatory response of HSPCs via the NF-κB signaling pathway.CONCLUSION:Mgl1 gene deletion enhances the inflammatory response of HSPCs via the NF-κB signaling pathway.

Biliary atresia is often complicated with portal hypertension, which induces a series of hemodynamic changes leading to splenomegaly. Splenomegaly is a common in patients with biliary atresia, which indicates the status of portal hypertension, esophageal varices, and the progression of hepatic fibrosis. Furthermore, it can help monitor the native liver survival status after Kasai procedure and the need for liver transplantation. For patients with biliary atresia presenting splenomegaly and/or hypersplenism, the treatment strategy, involving the pharmacological or surgical options, should be individually selected based on specific clinical condition. This article reviews the value of splenomegaly in the diagnosis and management of biliary atresia, aiming to provide references for clinical practice.

AIM:To investigate the effects of macrophage galactose-type lectin 1(Mgl1)gene deletion on he-matopoietic stem/progenitor cells(HSPCs)under steady-state conditions and inflammation.METHODS:Mice were di-vided into a control group(wild-type)and an experimental group(Mgl1 gene-deleted).Flow cytometry was used to ana-lyze the proportions of various hematopoietic cell lineages in the peripheral blood and bone marrow of both groups,assess-ing the impact of Mgl1 gene deletion on steady-state hematopoiesis(n=3～4).Transplantation and colony-forming assays were utilized to evaluate the effects of Mgl1 gene deletion onthe repopulation capacity and colony-forming ability of HSPCs(n=5).The LPS-induced inflammation model was employed to examine the effects of Mgl1 gene deletion on the inflamma-tory response of HSPCs both in vitro and in vivo(n=5～8).Western blot and RT-qPCR were conducted to analyze the alter-ations in signaling pathways regulated by Mgl1 in the inflammatory response of HSPCs(n=3).RESULTS:(1)Mgl1 gene deletion had no significant effecton steady-state hematopoiesis(P>0.05).(2)Mgl1 gene deletion promoted inflam-mation-induced cell differentiation of HSPCs(P<0.01).(3)Mgl1 gene deletion accelerated the exhaustion of HSPCs un-der prolonged inflammatory conditions(P<0.01).(4)Mgl1 was found to regulate the inflammatory response of HSPCs via the NF-κB signaling pathway.CONCLUSION:Mgl1 gene deletion enhances the inflammatory response of HSPCs via the NF-κB signaling pathway.