Bone marrow suppression is one of the common adverse reactions to radiotherapy and chemotherapy. Anticancer treatments such as radiotherapy and chemotherapy first directly damage the patient′s peripheral blood cells, impairing qi and blood; further, they damage the actively proliferating cell populations in the bone marrow, impairing yin and blood; and then they interfere with hematopoietic stem cells, impairing essence and blood. This process is rapid and intense, consistent with the characteristics of " acute deficiency syndrome" , marked by sudden onset, rapid changes, critical condition, complexity and variability, multiple complications, and poor prognosis. Given this, its diagnosis and treatment should differ from those of general deficiency syndromes. This paper advocates the principles and ideas of diagnosis and treatment such as " preventing first and treating early to prevent changes; supplementing for deficiency and strengthening vital qi to eliminate pathogenic factor; urgent rescue for critical conditions, no time to lose; and comprehensive supplementing throughout the process, with severe cases requiring singular action" . This approach is intended to provide theoretical reference and practical guidance for bone marrow suppression after radiotherapy and chemotherapy.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

[Objective] To evaluate the feasibility of a novel outpatient infusion model for blinatumomab in two acute lymphoblastic leukemia (ALL) patients, aiming to address challenges of poor treatment tolerance, high healthcare costs, and compromised quality of life, thereby providing clinical insights for broader adoption of this approach. [Methods] Two post-allogeneic hematopoietic stem cell transplantation (allo-HSCT) patients undergoing blinatumomab maintenance therapy were selected to evaluate the efficacy of the outpatient infusion model. Patient selection criteria, nursing protocols, standardized workflows, and advancements in infusion practices were systematically analyzed combined with a review of global developments in this field. [Results] Both patients completed outpatient blinatumomab infusion without severe adverse events, demonstrating preliminary feasibility and safety of this model. The novel approach enhanced treatment convenience, reduced hospitalization costs, and improved quality of life. [Conclusion] Despite the limited sample size, this pilot study highlights the potential of outpatient blinatumomab administration as a viable alternative to traditional inpatient regimens.

Tumorigenesis， invasion， and metastasis occur in the context of a persistent inflammatory microenvironment， and a variety of inflammatory factors can lead to the development of various tumors. Guided by the thought of "preventive treatment of disease" in TCM and the concept of tertiary prevention in modern medicine， it is of great significance to effectively intervene in the inflammatory stage of the disease， interrupt disease progression， prevent the occurrence of malignant tumors， and reverse the process of "inflammation-to-cancer transformation". Sinisan， a commonly used prescription in the Treatise on Febrile Diseases， has been widely applied in the treatment of precancerous lesions of the digestive system， demonstrating considerable advantages. This article reviewed literature from the past 20 years， summarizing the application of Sinisan in precancerous lesions of the digestive system from three aspects： the exploration of its prescription-syndrome relationship， clinical application， and mechanistic study. It is found that basic syndrome indications of Sinisan include harmonizing the Earth element to promote spleen-stomach transportation and transformation， soothing the liver and nourishing the Wood element to restore the smooth flow of Qi， and regulating Yin and Yang to relieve stagnation within the system. In clinical application， Sinisan has shown significant efficacy in atrophic gastritis and precancerous conditions such as intestinal metaplasia， gastric ulcer， ulcerative colitis， esophagitis， and pancreatitis. Mechanistic studies have revealed that Sinisan can inhibit inflammatory factors and improve the inflammatory microenvironment， inhibit cell proliferation and regulate apoptosis， exhibit anti-angiogenic and antitumorigenic effects， modulate immune function， and exert antioxidant effects. These mechanisms can be achieved by regulating pathways such as nuclear factor erythroid 2-related factor 2/heme oxygenase-1 （Nrf2/HO-1）， farnesoid X receptor （FXR）/Nrf2， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt）， Takeda G protein-coupled receptor 5/cyclic adenosine monophosphate/protein kinase A （TGR5/cAMP/PKA）， interleukin-4/signal transducer and activator of transcription 6 （IL-4/STAT6）， Janus kinase/signal transducer and activator of transcription （JAK/STAT）， RhoA/Rho-associated protein kinase （RhoA/ROCK）， and transforming growth factor-β/Smad proteins （TGF-β/Smads）， confirming Sinisan's role in reversing the inflammation-to-cancer transformation. The current research status of Sinisan in precancerous lesions of the digestive system was thoroughly examined through the above three aspects， along with the identification of limitations and areas for improvement in current research. The aim is to provide a basis and support for future in-depth research on Sinisan， promote the development of new integrated treatment models combining TCM and Western medicine for precancerous lesions， and aid in the research and development of drugs related to precancerous lesions.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

Objective:The predictive model of cardiac arrest in the emergency room was constructed and validated based on Logistic regression.Methods:This study was a retrospective cohort study. Patients admitted to the emergency room of the First Affiliated Hospital of Xinjiang Medical University from January 2020 to July 2021 were included. The general information, vital signs, clinical symptoms, and laboratory examination results of the patients were collected, and the outcome was cardiac arrest within 24 hours. The patients were randomly divided into modeling and validation group at a ratio of 7:3. LASSO regression and multivariable logistic regression were used to select predictive factors and construct a prediction model for cardiac arrest in the emergency room. The value of the prediction model was evaluated using the area under the receiver operator characteristic curve (AUC), calibration curve, and decision curve analysis (DCA).Results:A total of 784 emergency room patients were included in the study, 384 patients occurred cardiac arrest. The 10 variables were ultimately selected to construct a risk prediction model for cardiac arrest: Logit( P)= -4.503+2.159×modified early warning score (MEWS score)+2.095×chest pain+1.670×abdominal pain+ 2.021×hematemesis+2.015×cold extremities+5.521×endotracheal intubation+0.388×venous blood lactate-0.100×albumin+0.768×K ++0.001×D-dimer. The AUC of the model group was 0.984 (95% CI: 0.976-0.993) and that of the validation group was 0.972 (95% CI: 0.951-0.993). This prediction model demonstrates good calibration, discrimination, and clinical applicability. Conclusions:Based on the MEWS score, chest pain, abdominal pain, hematemesis, cold extremities, tracheal intubation, venous blood lactate, albumin, K +, and D-dimer, a predictive model for cardiac arrest in the in-hospital emergency room was constructed to predict the probability of cardiac arrest in emergency room patients and adjust the treatment strategy in time.

Objective:To construct an explainable artificial intelligence(AI) model of risk characteristics of papillary thyroid carcinoma(PTC), and to explore its value of it combined with clinical features in predicting cervical lymph node metastasis(CLNM) in PTC patients.Methods:From January 2021 to September 2022, 422 patients(422 nodules) with pathologically confirmed PTC underwent thyroidectomy and neck lymph node dissection in the Second Affiliated Hospital of Xi′an Jiaotong University were retrospectively collected, the patients were randomly divided into training set and test set according to the ratio of 7∶3. Ultrasonographic features highly correlated with PTC risk characteristics were extracted by traditional machine learning method, and an intelligent prediction model with optimal probability of risk characteristics was established. Then, a risk model for predicting CLNM of PTC patients was constructed in combination with clinical features. The diagnostic effectiveness of the model was evaluated by drawing a ROC curve and calculating the area under curve (AUC).Results:In the AI explaineable model of PTC risk characteristics in the test set, the intelligent diagnosis model of calcification based on logistic regression classification showed the highest diagnostic efficiency, with an AUC of 0.87 ( P<0.05). Compared with the probability model of risk characteristic of PTC alone, the comprehensive model combined with clinical characteristics showed higher diagnostic efficiency in predicting CLNM of PTC patients, with AUC of 0.97, diagnostic critical value of 0.15, corresponding accuracy, sensitivity and specificity of 92.65%, 92.76% and 92.54%, respectively (all P<0.05). Conclusions:The explaineble risk characteristics of PTC AI model combined with clinical features can effectively predict the cervical lymph node metastasis of PTC, and then provide effective information for clinical decision-making of PTC patients.

Radiotherapy is the main treatment for patients with head and neck cancer. Radiation-induced oral mucositis (RIOM) is one of the common complications of patients with head and neck cancer during radiotherapy. It is a mucus injury reaction related to dysphagia and oral pain, which will affect the quality of life and prognosis of patients when it becomes severe. Therefore, prevention and treatment of RIOM are of significance for patients. In this article, the pathogenesis, clinical manifestations, treatment and prevention methods of RIOM were summarized, aiming to provide guidance for the treatment of oral mucositis caused by radiotherapy in patients with head and neck cancer.

AIM: To establish a method for quantitation of cefepime and avibactam in M-H broth, and applicated in the in vitro dynamic PK/PD model. METHODS: The cefepime was also determined using the high-performance liquid chromatography method (HPLC), the avibactam was also determined using the liquid chromatography-mass spectrometry (LC-MS/MS), an in vitro dynamic PK/PD model was established to study the PK/PD relationship of cefepime/avibactam against carbapenem resistant Klebsiella pneumoniae (CRKP). RESULTS: The linear ranges of cefepime and avibactam were good at (0.5-20) and (0.1-25) μg/mL (r=0.999), and the lower limit concentrations were 0.5 and 0.1 μg/mL. The extraction recoveries of cefepime and avibactam in M-H broth were 88.0%-101.7% and 90.9%-95.2%, the relative standard deviation of intra-day precision and inter-day precision were less than 5.2%. The concentration-time curves were well simulated by the PK/PD model. All observed concentrations in each experiment were in the range of 20% of the targeted values. For the CRKP of MIC=8 μg/mL and MIC=16 μg/mL, the colony decreased to 2.783Log10 CFU/mL and 1.325Log10 CFU/mL at the cefepime/avibactam 2.5 g q8 h administration after 24 h. CONCLUSION: The determination method of cefepime and avibactam in broth established in this study has high sensitivity and good stability. For the CRKP with MIC≤8 μg/mL,cefepime/avibactam showed that good anti-CRKP activity under routine administration in vitro dynamic PK/PD model.

Cells undergo glucose metabolism reprogramming under the influence of the inflammatory microenvironment, changing their primary mode of energy supply from oxidative phosphorylation to aerobic glycolysis. This process is involved in all stages of inflammation-related diseases development. Glucose metabolism reprogramming not only changes the metabolic pattern of individual cells, but also disrupts the metabolic homeostasis of the body microenvironment, which further promotes aerobic glycolysis and provides favourable conditions for the malignant progression of inflammation-related diseases. The metabolic enzymes, transporter proteins, and metabolites of aerobic glycolysis are all key signalling molecules, and drugs can inhibit aerobic glycolysis by targeting these specific key molecules to exert therapeutic effects. This paper reviews the impact of glucose metabolism reprogramming on the development of inflammation-related diseases such as inflammation-related tumours, rheumatoid arthritis and Alzheimer's disease, and the therapeutic effects of drugs targeting glucose metabolism reprogramming on these diseases.