Lung cancer， with persistently high incidence and mortality rates， remains a significant global health challenge. By taking the study on the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School as an example， the diagnosis and treatment system for lung cancer with phlegm-dampness and blood stasis syndrome， which was formed in response to the humid and foggy environment of the Sichuan Basin， possesses unique value. However， traditional inheritance modes face challenges such as fragmentation， lack of standardization， and insufficient quantification， which hinder the promotion and application of this experience. This research focused on how to leverage multimodal data and artificial intelligence-generated content （AIGC） to achieve precise analysis， intelligent inheritance， and clinical innovation of the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School. By integrating multimodal data （encompassing four diagnostic methods of traditional Chinese medicine， modern medical imaging， clinical laboratory tests， molecular biology， and regional environmental information）， a precise diagnosis and treatment system integrating macro and micro perspectives for the "disease， syndrome， and pathogenesis" was constructed. The research yielded the following results： （1） In precise syndrome differentiation， the objective quantification of the phlegm-dampness and blood stasis syndrome was achieved. By constructing a "four diagnostic methods， imaging， and molecule" correlation model， the study revealed intrinsic links between tongue and pulse parameters and the tumor microenvironment， as well as between regional climatic factors and syndrome characteristics， enabling real-time dynamic monitoring of efficacy. （2） In elucidating patterns， the study systematically explored the syndrome differentiation thoughts of Sichuan School physicians， such as the timing of purgation and tonification. A "pathogenesis， syndrome complex， and prescriptions and herb" network model was constructed， which accurately elucidated the synergistic action mechanisms of core herb pairs and quantified the dynamic compatibility patterns of reinforcing healthy Qi and eliminating pathogenic factors. （3） In intelligent empowerment， an auxiliary system integrating intelligent syndrome differentiation， treatment plan generation， and efficacy evaluation was built. This system can fuse regional characteristics with individual data， dynamically generate and optimize personalized prescriptions aligned with the experience of Sichuan School， and predict efficacy trends and potential adverse reactions. The integration of multimodal data and AIGC can effectively facilitate the structured inheritance and clinical translation of distinguished physicians' experience. The established intelligent diagnosis and treatment model integrating traditional Chinese medicine and Western medicine demonstrates clear potential in prolonging patients' progression-free survival， alleviating symptoms， and reducing adverse reactions to treatment. This study provides a referential methodological framework for the traditional Chinese medicine experience in diagnosis and treatment of lung cancer， especially the empirical inheritance and modernized development of regional academic schools. It contributes to advancing clinical diagnosis and treatment toward greater precision and personalization.

Hepatocellular carcinoma （HCC）， a malignancy with high mortality， exhibits poor survival rates and prognosis. The profound suppression of the tumor immune microenvironment （TIME） and the abnormal hyperactivity of metabolic reprogramming （MR） are the two primary factors driving HCC progression. Traditional Chinese medicine has demonstrated significant efficacy in HCC treatment. The team proposed that "deficiency of healthy Qi and stasis toxins" was the core pathogenesis of HCC， closely associated with TIME suppression and MR hyperactivity. This paper proposed that a suppressed state of the TIME was the biological manifestation of "deficiency of healthy Qi"， where the functional exhaustion of effector T lymphocytes and natural killer cells reflected the decline of "healthy Qi" in eliminating pathogens. Conversely， the expansion and activation of immunosuppressive cells， such as regulatory T cells （Tregs）， M2-like tumor-associated macrophages （TAM-M2）， and myeloid-derived suppressor cells （MDSCs） ， represent the dysfunction of "healthy Qi" in maintaining homeostasis. MR serves as the material basis of "stasis toxins". Stasis toxins exhibit heat stagnation， manifested by abnormal hyperactivity of glycolysis and lipid synthesis. They demonstrate migratory propensity， as toxic metabolites like lactic acid and prostaglandin E2 promote tumor invasion and metastasis. They display a consumptive nature， reflected in the functional suppression of immune cells. The vicious cycle between TIME and MR is the biopathological reflection of "deficiency of healthy Qi intertwined with stasis toxins". Immunosuppression exacerbates MR， while toxic metabolites further impair immune function， establishing a pathogenic chain of "deficiency leading to stasis， and stasis toxins damaging healthy Qi". The primary therapeutic approach is reinforcing healthy Qi， resolving stasis， and removing toxins， which can reinforce and tonify healthy Qi to regulate pathways， such as phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt）， C-X-C chemokine receptor type 4/ C-X-C chemokine ligand 12 （CXCR4/CXCL12）， and toll-like receptor 4/ nuclear factor-kappa B/ signal transducer and activator of transcription 3 （TLR4/NF-κB/STAT3）， adjust T lymphocyte ratios， inhibit Tregs/TAM-M2 function， and downregulate immune checkpoints， including programmed death ligand 1/programmed death 1（PD-L1/PD-1）， and reshape TIME. It is also involved in resolving stasis and removing toxins to modulate phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR） and hypoxia-inducible factor-1α （HIF-1α） signaling pathways， suppress key enzymes in glycolysis and lipid synthesis， and block toxic metabolite production. Thus， this therapy synergistically regulates the immune and metabolic network， breaks the vicious cycle of "deficiency in healthy Qi and stasis toxins"， and offers a novel strategy for integrating traditional Chinese medicine and Western medicine in HCC treatment.

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.

Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

This article summarizes the nursing experience of a patient with cold agglutinin syndrome who experienced 2 sudden cardiac arrests.The nursing key points included:balancing the contradiction between hypothermia rewarming and head therapeutic hypothermia,thereby optimizing the temperature management strategy;controlling the entire process to ensure the safety of blood transfusion;conducting dynamic assessment and monitoring of coagulation function,preventing both bleeding and thrombosis;timing of nutritional therapy and progressive feeding at the right time;multidisciplinary collaboration was implemented to carry out a rehabilitation activity plan during continuous renal replacement therapy;preventing ICU delirium.With comprehensive treatment and meticulous nursing care provided by the multidisciplinary team,the patient was discharged in good condition after 22 days of hospitalization,and has resumed his daily working life after 3 months of follow-up.

Host-derived small RNAs are emerging as critical regulators in the dynamic interactions between host tissues and the microbiome, with implications for microbial pathogenesis and host defense. Among these, transfer RNA-derived small RNAs (tsRNAs) have garnered attention for their roles in modulating microbial behavior. However, the bacterial factors mediating tsRNA interaction and functionality remain poorly understood. In this study, using RNA affinity pull-down assay in combination with mass spectrometry, we identified a putative membrane-bound protein, annotated as P-type ATPase transporter (PtaT) in Fusobacterium nucleatum (Fn), which binds Fn-targeting tsRNAs in a sequence-specific manner. Through targeted mutagenesis and phenotypic characterization, we showed that in both the Fn type strain and a clinical tumor isolate, deletion of ptaT led to reduced tsRNA intake and enhanced resistance to tsRNA-induced growth inhibition. Global RNA sequencing and label-free Raman spectroscopy revealed the phenotypic differences between Fn wild type and PtaT-deficient mutant, highlighting the functional significance of PtaT in purine and pyrimidine metabolism. Furthermore, AlphaFold 3 prediction provides evidence supporting the specific binding between PtaT and Fn-targeting tsRNA. By uncovering the first RNA-binding protein in Fn implicated in growth modulation through interactions with host-derived small RNAs (sRNAs), our study offers new insights into sRNA-mediated host-pathogen interplay within the context of microbiome-host interactions.
Fusobacterium nucleatum/growth & development* ; RNA-Binding Proteins/genetics* ; Bacterial Proteins/genetics* ; RNA, Bacterial/metabolism* ; Humans ; RNA, Transfer/metabolism*

Objective To investigate the effects of active respiratory circulation technique(ACBT)combined with resistance breathing training on pulmonary function and exercise capacity in patients with acute exacerbations of chronic obstructive pulmonary disease(AECOPD).Methods A total of 60 hospitalized AECOPD patients from the Geriatrics Department of a tertiary hospital in Kunming were selected as research subjects from January to May 2024.Patients were randomly divided into two groups,with 30 patients in each group.The control group received conventional pulmonary rehabilitation nursing,and the observation group received ACBT combined with resistance breathing training.Pulmonary function indicators,modified British Medical Council(mMRC)dyspnea scores,6-minute walk test(6MWT)distances,and the COPD Assessment Test(CAT)scores were collected 4 weeks after discharge to evaluate the intervention's effectiveness.Results After the intervention,the observation group showed significant improvements in lung function,mMRC scores,6M WT distances,and CAT scores compared to pre-intervention levels,and all were superior to the control group(P＜0.05).Conclusion ACBT combined with resistance breathing training can more effectively promote sputum clearance,reduce respiratory muscle fatigue,increase exercise endurance,and improve dyspnea severity and lung function in AECOPD patients.

BACKGROUND:The AO12-C type middle-proximal humeral fractures are usually caused by high-energy injuries,accompanied by comminuted fractures and a large number of butterfly-shaped bone fragments.These fractures are difficult to achieve good reduction and effective fixation.With the increasing understanding of the biological characteristics of bone and soft tissue,surgical treatment is gradually shifting towards minimally invasive steel plates and intramedullary nail fixation.However,there has been no consensus on which is the best surgical technique for treating humeral fractures in minimal invasive plate osteosynthesis and intramedullary nail.OBJECTIVE:To compare the clinical effect of minimal invasive plate osteosynthesis and intramedullary nail for treating AO12-C type middle-proximal humeral fractures.METHODS:A retrospective analysis was performed in 36 patients with AO12-C type middle-proximal humeral fracture who met the inclusion criteria admitted to the Guizhou Hospital of Beijing Jishuitan Hospital from January 2020 to December 2022.All patients were assigned to minimal invasive plate osteosynthesis group(18 cases)and intramedullary nail group(18 cases)according to the surgical treatment plan.The minimal invasive plate osteosynthesis group received minimally invasive plate osteosynthesis based on preoperative planning assisted by 3D printing,while the intramedullary nail group received intramedullary nail internal fixation.Operation time,intraoperative blood loss,hospital stay,and fracture healing time were compared between the two groups.Visual analog scale score at 1,3,and 6 months after surgery,shoulder joint function,Constant-Murley score,Quick Disabilities of the Arm,Shoulder and Hand(QuickDASH)score,and complications of the shoulder joint at the last follow-up were compared between the two groups.RESULTS AND CONCLUSION:(1)All patients were followed-up for average(15.56±4.05)months,and no difference was observed in hospital stay and fracture healing time between the two groups(P＞0.05).The minimal invasive plate osteosynthesis group had shorter operation time compared to the intramedullary nail group(P＜0.05).The intramedullary nail group had less intraoperative blood loss between the two groups of patients(P＜0.05).(2)In the intramedullary nail group,at 1 and 3 months after operation,the visual analog scale score was significantly lower than the minimal invasive plate osteosynthesis group(P＜0.05).No difference was observed in the visual analog scale in long-term follow-up,shoulder joint function,Constant-Murley score,Quick Disabilities of the Arm,Shoulder and Hand(QuickDASH)score at the last follow-up between the two groups(P＞0.05).(3)No complications such as nonunion or wound infection occurred in either group.Two cases of radial nerve palsy occurred in minimal invasive plate osteosynthesis group,both of which recovered within 3 months.The intramedullary nail group had 1 case of rotator cuff injury.There was no significant difference in the rate of complications between the two groups(P＞0.05).(4)To conclude,minimal invasive plate osteosynthesis and intramedullary nail can achieve good clinical efficacy in the treatment of AO12-C type middle-proximal humeral fractures,effectively improving shoulder joint function in patients.However,minimal invasive plate osteosynthesis exhibits obvious advantages in shorter surgical time with the assistance of 3D printing,which is a valuable,effective,and safe method for treating AO12-C type middle-proximal humeral fractures.

Objective:To explore the real-life experiences of patients six months after laparoscopic sleeve gastrectomy (LSG), aiming to provide a reference for developing intervention plans.Methods:This was a descriptive phenomenological study. Purposeful sampling and maximum variation sampling were used to select 24 patients who underwent LSG at the Affiliated Hospital of Zunyi Medical University from February to August 2023. Semi-structured in-depth interviews were conducted, and the Colaizzi 7-step analysis method was applied to inductively extract and refine the themes.Results:A total of six main themes and ten sub-themes were identified through analysis. The main themes were: desires to improve postoperative physical symptoms (gastrointestinal symptoms, hair loss, neurological symptoms, and general symptoms) ; perception of subjective emotions (anxiety, regret, fear, and confidence) ; decreased social adaptability (decline in work ability, impaired social skills) ; general low compliance; desire for professional guidance; and postoperative benefit finding.Conclusions:Six months after LSG, patients primarily experienced physical symptom disturbances, poor psychological states, decreased social adaptability, low compliance, and a desire for professional guidance. However, they also recognized various benefits of the surgery. Healthcare providers should strengthen dynamic symptom assessments and management, guide patients psychologically, enhance social support, and actively improve follow-up and continuous care to help patients improve self-coping abilities and weight loss outcomes.