Chronic heart failure （CHF） is a major global public health problem， and myocardial infarction is one of its main causes. The mouse model of heart failure induced by coronary artery ligation is widely used in the study of CHF， while the TCM syndrome attributes of this model have not yet been clarified. According to the theory of correspondence between prescriptions and syndromes， the method of syndrome identification by prescription efficacy is an important means of current syndrome research of animal models. This method deduces the syndrome characteristics of animal models through prescription efficacy. Taking the four basic syndrome elements of Qi， blood， Yin and Yang as the classification reference， this study used coronary artery ligation to construct a mouse model of CHF and treated the model with four representative TCM injections with the effects of replenishing Qi， warming Yang， nourishing Yin， and activating blood and enalapril. Echocardiography， tongue color parameters， histopathology， serum N-terminal pro-brain natriuretic peptide （NT-proBNP） and cardiac troponin Ⅰ （cTnⅠ） levels， and systematically explored the TCM syndrome attributes of this model. The results showed that the coronary ligation model presented an obvious cardiac function decline， myocardial fibrosis， infarct size expansion， and purple dark tongue， which were consistent with the basic syndrome characteristics of blood stasis in CHF. Danhong injection had significant effects of improving the cardiac function， alleviating myocardial fibrosis， and reducing serum NT-proBNP and cTnⅠ levels. Huangqi Injection and Shenfu injection can improve the cardiac function and tongue color parameters， with limited effects. The effect of Shenmai injection group was not obvious. This study verifies that the established model conforms to blood stasis syndrome through the method of syndrome identification by prescription efficacy， which provides an experimental basis for the study of TCM syndrome mechanism of CHF.

Objective: To explore the association between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms among first year junior high school students in Yunnan Province, so as to provide theoretical basis for the prevention of anxiety and depressive symptoms co-occurrence among adolescents. Methods: A random cluster sampling involving 8 500 first year junior high school students in 11 counties in Yunnan Province was conducted by a questionnaire survey from October to December 2022. The Depression Anxiety Stress Scale-21 (DASS-21) was applied to assess anxiety and depressive symptoms in first year junior high school students. Chi-square test was used to compare the anxiety-depression co-occurrence symptoms of first year junior high school students with different demographic characteristics. The association between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms of adolescents was analyzed by binary Logistic regression models. Results: The detection rate of co-occurrence of anxiety and depression symptoms among first year junior high school students in Yunnan Province was 26.92%. After controlling for demographic variables and other confounders, takeout fast foods and sugar sweetened beverage consumption( OR=1.50, 95%CI =1.27-1.77) was associated with anxiety-depression co-occurrence symptoms among first year junior high school students in Yunnan Province ( P <0.01). Stratified analysis showed that both Han ( OR=1.37, 95%CI =1.07-1.77) and ethnic minorities ( OR=1.60, 95%CI =1.29-2.00) exhibited statistically significant associations between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms(both P <0.05). Conclusions Takeout fast foods and sugar sweetened beverage consumption increases the risk of co-occurrence of anxiety and depressive symptoms among first year junior high school students in Yunnan Province. It is recommended to strengthen guidance on the consumption of such products among junior high school students to prevent co-occurrence of anxiety and depressive symptoms.

OBJECTIVE To investigate the mechanism by which the traditional Chinese medicine formula Xibining Ⅱ modulates cold-stimulus pain sensitivity in rats with cold-damp obstruction-type knee osteoarthritis （KOA） based on the SET domain bifurcated histone lysine methyltransferase 2 （SETDB2）/histone H3 lysine 9 trimethylation （H3K9me3） signaling axis. METHODS Fifty SD rats were randomly divided into control group （intragastric administration and intrathecal injection of equal volumes of normal saline）， model group （intragastric administration and intrathecal injection of equal volumes of normal saline）， Xibining Ⅱ low- and high-dose groups （4， 8 g/kg Xibining Ⅱ， intragastric administration）， and high-dose of Xibining Ⅱ+small interfering RNA （siRNA） group （8 g/kg of Xibining Ⅱ via intragastric administration and intrathecal injection of SETDB2 siRNA at 0.2 mmol/L， 20 μL per rat）， with 10 rats in each group. Except for the control group， cold-damp obstruction-type KOA model was induced in other groups. Drug administration commenced 14 days post-modeling and continued for 28 days. Following the final administration， the following were assessed： behavioral changes in cold-stimulation pain sensitivity， histopathological changes in the articular cartilage of the knee joint， the contents of inflammatory factors [tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）] and pain mediators [calcitonin gene-related peptide （CGRP）， nerve growth factor （NGF）]， as well as the expressions of SETDB2/H3K9me3 signaling axis，inflammatory factors and pain mediators related proteins and mRNAs in dorsal root ganglion （DRG） tissue. RESULTS After 28 days of drug administration， compared with the model group， Xibining Ⅱ low- and high-dose groups exhibited significantly prolonged cold-stimulus paw withdrawal latency （P＜0.05）； the number of positive responses in the acetone low-temperature test was significantly reduced （P＜0.05）； Mankin score and the Osteoarthritis Research Society International score for knee joint tissue， as well as the levels of inflammatory factors and pain mediators in the serum and their expression in DRG tissue were all significantly decreased （P＜0.05）； the protein expressions of SETDB2 and H3K9me3 in DRG tissue were significantly increased （P＜0.05）. Intrathecal injection of SETDB2 siRNA reversed the above effects of high-dose of Xibining Ⅱ （P＜0.05）. CONCLUSIONS Xibining Ⅱ may alleviate inflammatory and pain responses by activating the SETDB2/H3K9me3 signaling axis， ultimately improving cold-stimulus pain sensitivity in rats with cold-damp obstruction-type KOA.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Background Both productive dust and noise are occupational hazards, and each can induce changes in blood glucose levels among workers. Objective To explore the potential interactive effects of exposure to productive dust and noise on the risk of hyperglycemia among automobile manufacturing workers. Methods Using a cluster sampling method, workers undergoing occupational health examination from three automobile manufacturing plants in Wuhan in 2022 were selected. Basic information was collected using a questionnaire designed by the Chinese Center for Disease Control and Prevention. Exposure history was obtained through occupational history interviews. Clinic indicators such as blood pressure, blood lipids, fasting blood glucose (FBG), and fatty liver status, were retrieved from examination records. Hyperglycemia was defined as FBG > 6.1 mmol·L^-1. Logistic regression models analyzed the independent effects of occupational noise and dust exposure, while additive and multiplicative interaction models assessed their interactive effects on hyperglycemia. Results The prevalence of hyperglycemia among the 1223 participants was 7.7%. Logistic regression showed that using workers without exposure as reference, the odds ratios (OR) and 95% confidence intervals (CI) for hyperglycemia among workers exposed only to dust, only to noise, and to both were 2.15 (1.90, 4.23), 2.23 (1.40, 5.08), and 3.75 (1.95, 7.24), respectively. A linear association was observed between the duration of noise exposure and blood glucose levels (P<0.05). Interaction analysis showed no multiplicative interaction or additive interaction. Conclusion Exposure to productive dust and noise are independent risk factors for hyperglycemia among workers. While both contribute to increased risk, no significant synergistic interaction is observed.

"Pattern identification by formula" originates from the formula-pattern correspondence theory in traditional Chinese medicine （TCM）， with its core being the reverse inference of the pattern attributes of models through pharmacodynamic responses after formula intervention. With the advancement of TCM modernization， stable and reliable pattern models have become an important bridge connecting basic research and clinical practice， and "pattern identification by formula" has provided a feasible approach to enhance the authenticity and clinical translational value of these models. In recent years， notable progress has been achieved in its application to single-pattern models （such as phlegm-stasis pattern， Yang deficiency pattern， and spleen-Qi deficiency pattern） as well as disease-pattern combination models involving the respiratory， digestive， circulatory， and nervous systems. It has not only verified the pattern attributes of the models but also revealed the pattern differentiation regularity of "different diseases with the same pattern" and "the same pattern treated with different formulas". On this basis， this study further conducts a commonality analysis of pattern models， summarizes them into two major categories （deficiency patterns and excess patterns）， and embodies the pathological connotation of "deficiency results from essence-Qi consumption， and excess arises from pathogen abundance". This not only reveals the internal connections between different models but also provides a basis for the summary of formula-pattern rules and research on pattern standardization. However， current studies still suffer multiple problems such as non-standardized naming of patterns， lack of rationality in modeling methods， simplified design of control experiments， and insufficient description of macroscopic patterns in evaluation indicators， which affect the scientific rigor and reproducibility of the research. Future research needs to promote the unification of nomenclature and evaluation criteria of patterns， optimize modeling methods， strengthen the design of control experiments， and establish a multi-dimensional model evaluation system integrating macro- and micro-level indicators. This aims to improve the rigor and strength of evidence for "pattern identification by formula" studies， strengthen interdisciplinary integration and clinical feedback， and promote the development of TCM pattern models towards standardization and scientification. This study not only provides theoretical reference and methodological support for improving the system of TCM pattern animal models but also offers an important pathway for the experimental interpretation and modernization of TCM theories.

ObjectiveTo establish and evaluate different disease-syndrome combination mice models of knee osteoarthritis （KOA） with cold-dampness obstruction syndrome， and to identify the optimal modeling method. MethodsEighty mice were randomly divided into a control group， a treadmill plus climate chamber group， an anterior cruciate ligament transection （ACLT） plus climate chamber group， an ACLT group， a destabilization of the medial meniscus （DMM） plus climate chamber group， a DMM group， an intra-articular injection plus climate chamber group， and an intra-articular injection group， with 10 mice in each group. Mice in the ACLT group underwent surgical transection of the knee anterior cruciate ligament to establish the model， while those in the DMM underwent surgical transection of the medial meniscal tibial ligament of the knee， and those in the intra-articular injection group were modeled by an intra-articular injection of 50 μl of normal saline containing 1mg of monosodium iodoacetate （MIA） into the medial side of the patellar ligament. Mice in the ACLT plus climate chamber， DMM plus climate chamber， and intra-articular injection plus climate chamber groups were placed in an artificial climate chamber （relative humidity 60%， temperature 4 ℃， wind speed 6 m/s） simultaneously with aforementioned interventions， once daily for 2 h each time， for 14 consecutive days. Mice in the control group underwent sham surgery， involving only the incision of the skin and subcutaneous tissue at the knee joint to expose the articular cavity， followed by layer-by-layer suturing. Mice in the treadmill plus climate chamber group were placed on an animal treadmill starting on the 4th day after the sham operation， undergoing high-intensity treadmill exercise at a speed of 20 m/min， an inclination of 5°， for 30min per session， 5 times per week for 28 consecutive days， while being housed in the artificial climate chamber. Cold pain thresholds of the mice in each group were compared using the cold plate test and the acetone low-temperature test before and after modeling. Following modeling， knee joint pathological changes were observed using HE and Safranin O-Fast Green staining， and quantified using Mankin and Osteoarthritis Research Society International （OARSI） scores. Serum levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） were measured by ELISA. Protein and mRNA expression levels of pain-related markers， including calcitonin gene-related peptide （CGRP）， protein gene product 9.5 （PGP9.5）， and cellular proto-oncogene Fos （c-Fos）， and the cold hyperalgesia-related markers including transient receptor potential ankyrin 1 （TRPA1） and transient receptor potential melastatin 8 （TRPM8） in the dorsal root ganglion （DRG） tissues were detected by Western Blot and qPCR. TRPA1 and TRPM8 fluorescent intensity in the DRG was detected by immunofluorescence assay. ResultsCompared to the control group， the remaining groups showed decreased cold pain thresholds in the cold plate tese， increased cold pain thresholds in the acetone low-temperature test， elevated Mankin and OARSI scores， and increased serum TNF-α and IL-1β levels， upregulated protein and mRNA expression levels of CGRP， PGP9.5， c-Fos， TRPA1， and TRPM8 in the DRG， and increased immunofluorescence intensities of TRPA1 and TRPM8 in the DRG tissue （P＜0.05 or P＜0.01）， along with severe pathological damage and cartilage degeneration in the knee joints. Compared to the ACLT， DMM， and intra-articular injection groups， the ACLT plus climate chamber， DMM plus climate chamber， and intra-articular injection plus climate chamber groups exhibited more significant changes in all the aforementioned indicators （P＜0.01）. Furthermore， changes in the aforementioned indicators were more pronounced in the ACLT plus climate chamber group compared to the Treadmill plus climate chamber group， DMM plus climate chamber and intra-articular injection plus climate chamber group （P＜0.01）， exhibiting the most severe degree of pathological damage and cartilage degeneration. ConclusionThe combination of an artificial climate chamber can successfully establish a disease-syndrome combined animal model of KOA with cold-damp obstruction syndrome， with the ACLT combined with the artificial climate chamber being the optimal modeling approach.

ObjectiveTo establish and evaluate different disease-syndrome combination mice models of knee osteoarthritis （KOA） with cold-dampness obstruction syndrome， and to identify the optimal modeling method. MethodsEighty mice were randomly divided into a control group， a treadmill plus climate chamber group， an anterior cruciate ligament transection （ACLT） plus climate chamber group， an ACLT group， a destabilization of the medial meniscus （DMM） plus climate chamber group， a DMM group， an intra-articular injection plus climate chamber group， and an intra-articular injection group， with 10 mice in each group. Mice in the ACLT group underwent surgical transection of the knee anterior cruciate ligament to establish the model， while those in the DMM underwent surgical transection of the medial meniscal tibial ligament of the knee， and those in the intra-articular injection group were modeled by an intra-articular injection of 50 μl of normal saline containing 1mg of monosodium iodoacetate （MIA） into the medial side of the patellar ligament. Mice in the ACLT plus climate chamber， DMM plus climate chamber， and intra-articular injection plus climate chamber groups were placed in an artificial climate chamber （relative humidity 60%， temperature 4 ℃， wind speed 6 m/s） simultaneously with aforementioned interventions， once daily for 2 h each time， for 14 consecutive days. Mice in the control group underwent sham surgery， involving only the incision of the skin and subcutaneous tissue at the knee joint to expose the articular cavity， followed by layer-by-layer suturing. Mice in the treadmill plus climate chamber group were placed on an animal treadmill starting on the 4th day after the sham operation， undergoing high-intensity treadmill exercise at a speed of 20 m/min， an inclination of 5°， for 30min per session， 5 times per week for 28 consecutive days， while being housed in the artificial climate chamber. Cold pain thresholds of the mice in each group were compared using the cold plate test and the acetone low-temperature test before and after modeling. Following modeling， knee joint pathological changes were observed using HE and Safranin O-Fast Green staining， and quantified using Mankin and Osteoarthritis Research Society International （OARSI） scores. Serum levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） were measured by ELISA. Protein and mRNA expression levels of pain-related markers， including calcitonin gene-related peptide （CGRP）， protein gene product 9.5 （PGP9.5）， and cellular proto-oncogene Fos （c-Fos）， and the cold hyperalgesia-related markers including transient receptor potential ankyrin 1 （TRPA1） and transient receptor potential melastatin 8 （TRPM8） in the dorsal root ganglion （DRG） tissues were detected by Western Blot and qPCR. TRPA1 and TRPM8 fluorescent intensity in the DRG was detected by immunofluorescence assay. ResultsCompared to the control group， the remaining groups showed decreased cold pain thresholds in the cold plate tese， increased cold pain thresholds in the acetone low-temperature test， elevated Mankin and OARSI scores， and increased serum TNF-α and IL-1β levels， upregulated protein and mRNA expression levels of CGRP， PGP9.5， c-Fos， TRPA1， and TRPM8 in the DRG， and increased immunofluorescence intensities of TRPA1 and TRPM8 in the DRG tissue （P＜0.05 or P＜0.01）， along with severe pathological damage and cartilage degeneration in the knee joints. Compared to the ACLT， DMM， and intra-articular injection groups， the ACLT plus climate chamber， DMM plus climate chamber， and intra-articular injection plus climate chamber groups exhibited more significant changes in all the aforementioned indicators （P＜0.01）. Furthermore， changes in the aforementioned indicators were more pronounced in the ACLT plus climate chamber group compared to the Treadmill plus climate chamber group， DMM plus climate chamber and intra-articular injection plus climate chamber group （P＜0.01）， exhibiting the most severe degree of pathological damage and cartilage degeneration. ConclusionThe combination of an artificial climate chamber can successfully establish a disease-syndrome combined animal model of KOA with cold-damp obstruction syndrome， with the ACLT combined with the artificial climate chamber being the optimal modeling approach.

ObjectiveTo analyze the current status of traditional Chinese medicine （TCM） prediction model research for emerging acute infectious diseases， in order to provide reference for subsequent model construction and optimization. MethodsEight databases， including PubMed， Cochrane Library， and Embase， were systematically searched to comprehensively collect Chinese and English literature on TCM prediction models for emerging acute infectious diseases. The search period ranged from database inception to July 5， 2024. Reporting quality compliance was evaluated using the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis—Traditional Chinese Medicine （TRIPOD-TCM） guideline. Risk of bias and applicability were assessed using the Prediction Model Risk of Bias Assessment Tool （PROBAST）. ResultsA total of 21 studies were included， comprising 11 early warning model studies， 5 diagnostic model studies， 3 prognostic model studies， and 2 prescription prediction model studies， involving 84 models in total. The diseases involved were mainly viral infectious diseases such as coronavirus disease 2019 （COVID-19） and hepatitis B. The most frequently applied TCM theory was the "five movements and six climates" theory. The most commonly used modeling method was neural network-based approaches. The most frequently reported predictive factors were meteorological variables， including daily mean temperature， wind speed， precipitation， relative humidity， and vapor pressure. In terms of reporting quality， the included studies showed poor item-level compliance， with only 13 sub-items achieving compliance rates above 50%. Overall compliance ranged from 27% to 59% across studies. Although the included studies showed relatively good applicability， all were assessed as having a high risk of bias. The main sources of bias included inappropriate handling of missing data， absence of calibration methods， and unreasonable validation strategies， indicating deficiencies across multiple stages of model development. ConclusionCurrent research on TCM prediction models for emerging acute infectious diseases exhibits distinctive modeling characteristics. These models are based on traditional TCM theories such as the "five movements and six climates"， incorporate TCM-specific features as predictive variables， and use TCM syndromes as outcomes. However， they generally suffer from low reporting compliance and a high risk of bias. Future studies should systematically design model development and validation processes， adhere to TRIPOD-TCM reporting standards， and apply PROBAST or develop dedicated bias risk assessment tools for TCM prediction models to improve methodological quality and promote their translation into clinical practice.

Objective To analyze ethnic differences in mutations of the PIK3CA and TP53 genes among breast cancer patients from the Han, Tibetan, and Hui ethnic groups in Qinghai, China, and their associations with clinicopathological characteristics. Methods A total of 382 breast cancer tissue samples were retrospectively collected from surgical patients (Jan 2020−Dec 2022), comprising 200 Han, 93 Tibetan, and 89 Hui ethnicity. Mutations in PIK3CA (E542K, H1047R, and E545K) and TP53 (R273H and R175H) were detected by using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Correlations between mutations and clinicopathological parameters were analyzed. Results Significant differences were observed in pTNM stage, lymph node metastasis, molecular subtypes, and PR status among the three ethnic groups. The overall mutation rate of PIK3CA and TP53 was 48.95%. The PIK3CA-p.E542K mutation rate in Tibetan cohort was significantly higher than those in Han and Hui cohort, whereas the detection rate of the PIK3CA-p.E545K mutation was lower in Tibetan cohort than that in Han cohort. The PIK3CA-p.E542K mutation was associated with an increased risk of lymph node metastasis. The TP53-p.R175H mutation was significantly correlated with advanced pTNM stage, vascular invasion, and triple-negative breast cancer. The PIK3CA-H1047R and E545K mutations were enriched in the luminal A subtype of breast cancer. Conclusion Considerable ethnic disparities exist in breast cancer mutation profiles in Qinghai, with the high-frequency PIK3CA-p.E542K mutation in Tibetan population potentially serving as a region-specific therapeutic target. Mutations are closely linked to tumor aggressiveness and molecular subtypes, highlighting the value of PIK3CA/TP53 mutation detection for early risk stratification and personalized treatment of breast cancer in high-altitude populations.