To investigate the changes in peripheral blood immune cells before and after the onset of septic shock in patients with malignant tumors, and to analyze the relationship between these immune cells and patient prognosis.

Objective: To develop a convenient, direct, and highly sensitive method for screening trace chemical additives in complex Chinese patent medicines, thereby addressing core technological bottlenecks in pharmaceutical analysis and quality control. Methods: A brush ionization probe device was independently designed and constructed, and an efficient detection method was established through systematic optimization of key parameters. Twenty-three Chinese patent medicine samples, representing 6 dosage forms (capsules, tablets, pills, granules, powders, and liquid preparations), were analyzed using 10 common chemical additives as target analytes. Results: All samples were successfully analyzed without complex pretreatment, and 5 chemical additives were detected in 7 Chinese patent medicines. The brush ionization probe device exhibited cost-effectiveness (~0.2 USD per probe), operational simplicity, rapid analysis (~10s per sample), high efficiency, and minimal reagent consumption (~10 μL per sample). Conclusion: This advancement is expected to provide an innovative scientific tool for improving the generality and convenience of on-site quality control, while promoting technological progress in disciplines such as pharmacology and traditional Chinese medicine.

The neurotoxicity related to immune checkpoint inhibitors (ICI) is rare, and the clinical experience remains limited. This paper reported an elderly male patient with advanced small cell lung cancer (SCLC). Following two circles of chemotherapy combined with immunotherapy (serplulimab, 200 mg), the patient developed fatigue, cognitive impairment, motor apraxia, and ataxia. Based on the examination of blood neurotransmitters and brain magnetic resonance imaging, the patient was diagnosed with ICI-associated encephalitis, and his symptoms improved after hormone treatment.

ObjectiveTo investigate the mechanism underlying the weight loss effect of electrothermal acupuncture （ETA） in diet-induced obese （DIO） model mice based on the hypoxia-inducible factor-1α （HIF-1α）/sphingosine-1-phosphate （S1P）sphingosine-1-phosphate receptor 3 （S1PR3） signaling pathway-mediated macrophage polarization. MethodsAn obesity mouse model was established by continuously feeding at a high-fat diet （HFD） for 8 weeks. Twenty successfully modeled obese mice were randomly divided into a model group and an electrothermal acupuncture （ETA） group with 10 mice per group， both of which continued to receive the HFD till week 12. Another 10 mice were assigned to the normal group and fed a standard chow diet continuously for 12 weeks. Starting from week 9 of the experiment， mice in the ETA group received electrothermal acupuncture stimulation at Zhongwan （CV12）， bilateral Tianshu （ST25）， and bilateral Zusanli （ST36） for 30 minutes per session， with the instrument current set at （40±0.5）mA and a constant temperature of （40±0.5）℃. Mice in the normal group and the model group were restrained in the same manner for 30 minutes without acupuncture. All interventions were performed once every other day for a total of 4 weeks. Ten hours after the final intervention， the body weight， waist circumference， and body length of mice in each group were measured， and Lee's index was calculated. Serum biochemical analysis was performed to assess fasting blood glucose （FBG）， total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL-C）， low-density lipoprotein cholesterol （LDL-C）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， blood urea nitrogen （BUN）， and creatinine （Cr）. Serum leptin （LEP） and adiponectin （ADPN） levels， as well as sphingosine-1-phosphate （S1P） levels in epididymal white adipose tissue （eWAT）， were detected by ELISA. Histomorphological changes in eWAT were monitored via HE staining. Flow cytometry was used to analyze macrophage subtype-related indexes in eWAT， including the total proportion of macrophages， the proportion of M1 macrophages， the proportion of M2 macrophages， and the M1/M2 ratio. Antibody array technology was used to determine the levels of differentially expressed inflammatory factors in eWAT between the model and blank groups， as well as between the ETA and model groups. Western blot and qPCR were used to detect the protein and mRNA expression levels of HIF-1α and S1PR3 in the eWAT， respectively. ResultsCompared to the normal group， the model group showed significantly increased body weight， Lee's index， waist circumference， and FBG， TC， TG， HDL-C， LDL-C， AST， and ALT levels， upgraded LEP and S1P levels， decreased ADPN level and ADPN/LEP ratio， elevated proportion of M1 macrophages and the M1/M2 ratio， reduced proportion of M2 macrophages， and upregulated protein and mRNA expression levels of HIF-1α and S1PR3 （P＜0.05 or P＜0.01）. With the exception of HDL-C， all the abovementioned indicators in the ETA group were significantly improved compared to the model group （P＜0.05 or P＜0.01）. Analysis of differentially expressed inflammatory cytokines revealed that， compared to the normal group， the levels of interleukin-1β （IL-1β）， interferon-γ （IFN-γ）， interleukin-6 （IL-6）， and interleukin-12p70 （IL-12p70） in the eWAT of the model group were elevated； conversely， the levels of interleukin-17 （IL-17）， interleukin-5 （IL-5）， IL-6， and interleukin-23 （IL-23） in the eWAT of the ETA group decreased compared to the model group （P＜0.05 or P＜0.01）. ConclusionETA exerts a weight-reducing effect in obese model mice， and the mechanism may involve inhibition of the HIF-1α/S1P/S1PR3 signaling pathway activation， which shifts macrophage polarization from the M1 to M2 phenotype， thereby alleviating chronic inflammation.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

The Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis （GS/CACM 337-2023） was released by the China Association of Chinese Medicine on December 13^th， 2023. This expert consensus was developed by experts in methodology， pharmacy， and Chinese medicine in strict accordance with the development requirements of the China Association of Chinese Medicine （CACM） and based on the latest medical evidence and the clinical medication experience of well-known experts in the fields of respiratory medicine （pulmonary diseases） and pediatrics. This expert consensus defines the application of Qinbaohong Zhike oral liquid in the treatment of cough and excessive sputum caused by phlegm-heat obstructing lung， acute bronchitis， and acute attack of chronic bronchitis from the aspects of applicable populations， efficacy evaluation， usage， dosage， drug combination， and safety. It is expected to guide the rational drug use in medical and health institutions， give full play to the unique value of Qinbaohong Zhike oral liquid， and vigorously promote the inheritance and innovation of Chinese patent medicines.

Mesenchymal stem cells (MSCs) have been widely used in the treatment of various autoimmune and inflammation-related diseases due to their potent immunomodulatory properties. Several studies have demonstrated that MSC-mediated immunomodulation is complex and bidirectional, with the in vivo microenvironment influencing the direction of this modulation. Indoleamine-2,3-dioxygenase (IDO), an immunosuppressive factor, has been identified as a key "switch" in the immunomodulatory role of MSCs. In this review, we explore how IDO functions as a critical regulator of MSC immunoregulatory plasticity. We delve into the mechanisms by which changes in IDO expression affect the function of various immune cells, summarize relevant research and clinical advances regarding the role of IDO expression in MSC-based therapies for various diseases, and discuss potential therapeutic strategies that target IDO to enhance the stability of MSC therapeutic effects. This provides a theoretical foundation for optimizing MSCs as safer and more effective clinical therapeutic agents.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients. METHODS: This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments. RESULTS: Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872. CONCLUSION We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; Machine Learning ; Postoperative Complications/etiology* ; Risk Factors ; Randomized Controlled Trials as Topic ; Secondary Data Analysis

Objective To investigate the alterations of cerebral blood flow(CBF)in type 2 diabetic mellitus(T2DM) patients without cognitive impairment by using arterial spin labeling(ASL)technique.Methods A total of 23 T2DM patients without cognitive impairment and 23 healthy controls(HC)matched by age,sex,and education attainment were recruited.Their clinical data were collected,and neuropsychological tests and cerebral magnetic resonance imaging were performed.Then,the outcomes of clinical features,neuropsychological tests,and global and regional CBF were compared between the two groups.The significant regional zCBF(z-transformed relative CBF)values were extracted and correlated with clinical data and neuropsychological scores in T2DM patients,controlling age,sex,and education.Results No significant difference was found in whole brain CBF between the two groups(P=0.155),while significantly higher CBF was identified in the left superior temporal gyrus and left insula in the T2DM group(Gaussian random field correction,initial threshold P < 0.001,cluster level P < 0.05).No correlation was observed between the significant regional zCBF values and the clinical data or the neuropsychological scores in T2DM patients(all P>0.05).Conclusion Alterations in cerebral hemodynamics may precede cognitive function changes in T2DM,suggesting that the ASL technique is promising for early monitoring of cerebral hemodynamic changes associated with cognitive impairment in patients with T2DM.
Humans ; Diabetes Mellitus, Type 2/physiopathology* ; Cerebrovascular Circulation ; Middle Aged ; Male ; Female ; Magnetic Resonance Imaging ; Case-Control Studies ; Cognitive Dysfunction ; Neuropsychological Tests ; Aged