ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

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.

To clarify the species, pathogenicity, and distribution of the pathogens causing the root rot of Atractylodes lancea in Hubei province, the tissue separation method was used to isolate the pathogens from root rot samples in the main planting areas of A. lancea in Hubei. Based on the preliminary identification of the Fusarium genus by the internal transcribed spacer(ITS) sequence, three housekeeping genes, EF1/EF2, Btu-F-FO1/Btu-F-RO1, and FF1/FR1, were amplified and sequenced. Subsequently, a phylogenetic tree was constructed based on these TEF gene sequences to classify the pathogens. The pathogenicity of these strains was determined using the root irrigation method. A total of 194 pathogen strains were isolated using the tissue separation method. Molecular identification using the three housekeeping genes identified the pathogens as F. solani, F. oxysporum, F. commune, F. equiseti, F. tricinctum, F. redolens, F. fujikuroi, F. avenaceum, F. acuminatum, and F. incarnatum. Among them, F. solani and F. oxysporum were the dominant strains, widely distributed in multiple regions, with F. solani accounting for approximately 54% of the total isolated strains and F. oxysporum accounting for approximately 34%. Other strains accounted for a relatively small proportion, totaling approximately 12%. The results of pathogenicity determination showed that there were certain differences in pathogenicity among strains. The analysis of the pathogenicity differentiation of the widely distributed F. solani and F. oxysporum strains revealed that these dominant strains in Hubei were mainly highly pathogenic. This study determined the species, pathogenicity, and distribution of the pathogens causing the root rot of A. lancea in Hubei province. The results provide a scientific basis for further understanding the root rot of A. lancea and its epidemic occurrence and scientifically preventing and controlling this disease.
Plant Diseases/microbiology* ; Atractylodes/microbiology* ; Phylogeny ; Plant Roots/microbiology* ; Fusarium/classification* ; China ; Virulence ; Fungal Proteins/genetics*

Nutritional support therapy is one of the extremely important treatment methods for patients in the intensive care unit. Timely and effective nutritional support regimens can improve patients' immune function, reduce complications, and optimize clinical outcomes. Energy expenditure is influenced by multiple factors, including patients' baseline characteristics (such as physical condition, gender, age) and dynamic changes in indicators (such as body temperature, nutritional support regimens, and therapeutic interventions). The currently recognized "gold standard" for accurately assessing energy metabolism in clinical practice is the indirect calorimetry system, also known as the metabolic cart. This device monitors carbon dioxide production and oxygen consumption in real time and uses specific algorithms to estimate the metabolic proportions of the three major nutrients (carbohydrates, fats, and proteins) in energy expenditure. An appropriate nutrient ratio helps maintain the balance between supply and demand in the body's nutritional metabolism. In the management of critically ill patients, the application of the metabolic cart enables personalized nutritional therapy, avoiding over- or under-supply of energy and optimizing the use of medical resources. Furthermore, with real-time, quantitative data support from the energy metabolism monitoring system, clinicians can develop more precise nutritional intervention strategies, thereby improving patient prognosis. This article provides a systematic review of the technical features of the metabolic cart and its application value in various critical care scenarios, aiming to offer a reference for indirect calorimetry in clinical practice.
Humans ; Critical Illness/therapy* ; Nutritional Support ; Energy Metabolism ; Calorimetry, Indirect

ObjectiveTo investigate the relationship between the composition of traditional Chinese medicine (TCM) and depression/anxiety/sleep disturbances (D/A/S) in patients with chronic pain.MethodsThis cross-sectional study was conducted at 13 tertiary hospitals across China, enrolling patients who experienced chronic pain between November 2023 and May 2024. The Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Pittsburgh Sleep Quality Index, and TCM constitution categories were used to assess the patients. The association between the TCM constitution and the D/A/S ratio was analyzed using multivariable logistic regression.ResultsA total of 1107 patients (63.2% women) were analyzed. Compared with those with a balanced constitution, patients who had qi-deficiency and yin-deficiency were at a higher risk of depression. Qi-deficiency and yin-deficiency were associated with anxiety. Sleep disturbances were common in patients with qi-deficiency constitution (odds ratio [OR]: 2.32, 95% confidence interval [CI]: 1.42–3.81), yang-deficiency constitution (OR: 1.94, 95% CI: 1.26–2.98), yin-deficiency constitution (OR: 2.03, 95% CI: 1.24–3.32), blood stasis constitution (OR: 2.07, 95% CI: 1.01–4.22), and qi-stagnation constitution (OR: 2.66, 95% CI: 1.35–5.25).ConclusionIn patients with chronic pain, specific TCM constitutions may be associated with D/A/S. Further longitudinal studies are needed to clarify the potential causal relationships between TCM constitution types and these conditions.

Following the principles of evidence-based medicine,in accordance with the structure and drafting rules of standardized documents,based on literature research,according to the characteristics of chronic cough in children and issues that need to form a consensus,the TCM Guidelines for Diagnosis and Treatment of Chronic Cough in Children was formulated based on the Delphi method,expert discussion meetings,and public solicitation of opinions.The guideline includes scope of application,terms and definitions,eti-ology and diagnosis,auxiliary examination,treatment,prevention and care.The aim is to clarify the optimal treatment plan of Chinese medicine in the diagnosis and treatment of this disease,and to provide guidance for improving the clinical diagnosis and treatment of chronic cough in children with Chinese medicine.

Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+

Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+

Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+

Objective To evaluate the survival of patients with diffuse large B-cell lymphoma(DLBCL)after chemotherapy using Fuzheng Jiedu Formula and to explore the intrinsic correlation between the lymphocyte subset level and the survival of patients with DLBCL.Methods A total of 234 patients with DLBCL who had completed chemotherapy and achieved complete or partial response in the Department of Hematology,Longhua Hospital Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital,Tongji University from January 1,2013,to December 31,2023,were recruited.A cohort study design was adopted,with"whether to receive continuous Fuzheng Jiedu Formula treatment for≥6 months after chemotherapy"as the exposed factor.Patients meeting this exposed factor were divided into the traditional Chinese medicine(TCM)cohort,whereas those who did not meet this exposed factor were divided into the observation cohort.The 1-and 2-year progression-free survival(PFS)rate,overall survival(OS)rate,and duration of response(DOR)of the two cohorts were compared.The survival curves of PFS and OS of the two cohorts were drawn,and subgroup survival analysis was performed to determine factors affecting disease progression.The effect of Fuzheng Jiedu Formula on lymphocyte subset count level was observed.Results The study included 126 and 108 patients in the TCM and observation cohorts,respectively.Compared with the observation cohort,the 2-year PFS rate,2-year OS rate,and DOR were increased in the TCM cohort(P<0.05).The PFS in the TCM cohort was higher than that in the observation cohort[HR=0.542,95%CI(0.345-0.853),P<0.01].The result of subgroup analysis showed that PFS in the TCM cohort was higher than that in the observation cohort in the age≥60 years,AA stage Ⅲ-Ⅳ,CD4+