Onco-critical care has emerged as an important subspecialty at the intersection of critical care medicine and oncology, attracting increasing attention in recent years. With continuous innovations in cancer therapies, patient survival has improved significantly; however, the incidence of associated critical complications has also increased. The reasons for cancer patients requiring intensive care unit admission are diverse and can be broadly categorized into three groups: progression of the underlying malignancy, treatment-related complications, and coexisting classical critical illnesses. Traditional critical care concepts and practices face limitations in addressing the multidimensional and heterogeneous challenges of onco-critical care. Based on the core mechanism of critical illness development—host/organ unregulated response (HOUR)—this article systematically elaborates on how this framework advances understanding and clinical practice into onco-critical care, with emphasis on its manifestations in neuroendocrine, immune-inflammatory, and coagulation-metabolic pathways. The review summarizes recent advances in clinical assessment and phenotyping systems for onco-critical illness and discusses a multidisciplinary, integrated management strategy centered on the "Disease Control, Host Response Modulation, Organ Support" triad. Finally, major challenges and future directions in this field are outlined. By integrating existing evidence and theoretical insights, this review aims to provide new perspectives and a theoretical foundation for the clinical management of onco-critical illness, thereby promoting its evolution toward precision and standardization.

This study investigates the material basis and mechanism of Arisaematis Rhizoma Preparatum in the treatment of chronic obstructive pulmonary disease(COPD) using animal experiments, component analysis, network pharmacology, and molecular docking. A mouse model of COPD was constructed by cigarette smoke and lipopolysaccharide(LPS). Blood gas analysis was performed to measure the pH and partial pressure of carbon dioxide(PCO_2) in the blood of the mice. Lung tissue sections were analyzed using HE staining, and the effects of Arisaematis Rhizoma Preparatum water extract on inflammatory factors(TNF-α, IL-6, and IL-1β) and the PI3K/AKT signaling pathway in the lung tissue of COPD model mice were studied by qPCR and Western blot. The composition of the Arisaematis Rhizoma Preparatum water extract was analyzed using UPLC Q-Exactive Orbitrap MS. The SwissTargetPrediction database was used to predict the targets of the chemical components in Arisaematis Rhizoma Preparatum. GeneCards, OMIM, TTD, PharmGKB and DrugBank disease databases were used to screen for COPD targets, and the potential targets of Arisaematis Rhizoma Preparatum in treating COPD were identified. A protein-protein interaction(PPI) network of intersection targets was constructed and analyzed using the STRING database and Cytoscape 3.9.0, and core genes were screened. GO functional analysis and KEGG pathway enrichment analysis were performed using R language, and molecular docking verification was conducted using AutoDock Vina software. The results of the animal experiments showed that Arisaematis Rhizoma Preparatum water extract improved pulmonary ventilation function in COPD model mice, reduced lung inflammatory cells, decreased alveolar cavities, and improved lung tissue condition. The levels of inflammatory factors TNF-α, IL-6 and IL-1β were decreased, and the phosphorylation levels of PI3K and AKT were inhibited. Fifty-two chemical components were identified from Arisaematis Rhizoma Preparatum, and 440 intersection targets related to COPD were found. Nine key components were screened, including hydroxyphenylethylamine, L-tyrosine, L-tyrosyl-L-alanine, 3,4,5-trihydroxy-1-cyclohexene-1-carboxylic acid, methyl azelate, zingerone, 6-gingerol, linoleamide, and linoleoyl ethanolamine. Five core targets were identified, including AKT1, TNF, STAT3, ESR1, and IL1B. The PI3K/AKT pathway was identified as the key pathway for the treatment of COPD with Arisaematis Rhizoma Preparatum. Molecular docking results showed that 75% of the binding energies of key components and core targets were less than-5 kcal·mol~(-1), indicating good binding affinity. In conclusion, Arisaematis Rhizoma Preparatum may improve pulmonary ventilation function, enhance lung pathological morphology, and reduce pulmonary inflammation in COPD model mice by inhibiting the PI3K/AKT signaling pathway and downregulating TNF-α, IL-6, and IL-1β inflammatory factors. The material basis may be associated with L-tyrosyl-L-alanine, 3,4,5-trihydroxy-1-cyclohexene-1-carboxylic acid, zingerone and 6-gingerol, and AKT1 and TNF may be the primary targets.
Animals ; Pulmonary Disease, Chronic Obstructive/metabolism* ; Network Pharmacology ; Mice ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Rhizome/chemistry* ; Humans ; Molecular Docking Simulation ; Chromatography, High Pressure Liquid ; Disease Models, Animal ; Signal Transduction/drug effects* ; Lung/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Interleukin-6/immunology*

This study aims to investigate the therapeutic effects of the Coptidis Rhizoma-Scutellariae Radix on cytokine storm secondary lung injury(CSSLI) induced by CpG1826 in mice, and to elucidate the potential molecular mechanisms by which its major active components, i.e., coptisine and wogonin, alleviate CSSLI by inhibiting the mitochondrial permeability transition pore(mPTP)/nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3) inflammasome pyroptosis pathway. In vivo, a mouse model of CSSLI was established by CpG1826 induction. Pulmonary edema was assessed by lung wet-to-dry weight ratio(W/D), lung injury was evaluated by hematoxylin-eosin(HE) staining, and ultrastructural changes in lung tissue were observed by transmission electron microscopy(TEM). The levels of interleukin(IL)-1β, high mobility group box 1 protein(HMGB1), IL-18, and IL-1α in bronchoalveolar lavage fluid were measured by enzyme-linked immunosorbent assay(ELISA). The results showed that the decoction of the Coptidis Rhizoma-Scutellariae Radix significantly reduced pulmonary edema, alleviated lung injury, and decreased the concentrations of related cytokines in BALF more effectively than either single herb alone, thereby improving CSSLI. In vitro, a CpG1826-induced CSSLI model was established in mouse alveolar macrophage MH-S cells. Calcein-AM quenching was used to screen for the most effective monomer components from the herb pair in inhibiting mPTP opening. Coptisine(5, 10, 20 μmol·L~(-1)) and wogonin(10, 20, 40 μmol·L~(-1)) markedly inhibited mPTP opening, with optimal effects and a clear dose-dependent pattern. These components suppressed mPTP opening, thereby reducing the release of mitochondrial DNA(mtDNA) and the accumulation of reactive oxygen species(ROS), effectively reversing the CpG1826-induced decrease in mitochondrial membrane potential(MMP). Further studies revealed that both coptisine and wogonin inhibited pyroptosis and downregulated the expression of key proteins in the NLRP3/Caspase-1/gasdermin D(GSDMD) pathway. In conclusion, the Coptidis Rhizoma-Scutellariae Radix improves CpG1826-induced CSSLI in mice, and this effect is associated with the inhibition of the mPTP/NLRP3 pyroptosis pathway, providing scientific evidence for its clinical application and further development.
Animals ; Mice ; Drugs, Chinese Herbal/administration & dosage* ; Pyroptosis/drug effects* ; NLR Family, Pyrin Domain-Containing 3 Protein/immunology* ; Male ; Lung Injury/immunology* ; Cytokines/immunology* ; Scutellaria baicalensis/chemistry* ; Oligodeoxyribonucleotides/adverse effects* ; Mice, Inbred C57BL ; Coptis chinensis

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

The syndrome of multiple morphological abnormalities of the sperm flagella (MMAF) is one of the most serious kinds of sperm defects, leading to asthenoteratozoospermia and male infertility. In this study, we use whole-exome sequencing to identify genetic factors that account for male infertility in a patient born from a consanguineous Pakistani couple. A homozygous frameshift mutation (c.1399_1402del; p.Gln468ArgfsTer2) in axonemal dynein light chain domain containing 1 ( AXDND1 ) was identified in the patient. Sanger sequencing data showed that the mutation was cosegregated recessively with male infertility in this family. Papanicolaou staining and scanning electron microscopy analysis of the sperm revealed severely abnormal flagellar morphology in the patient. Immunofluorescence and western blot showed undetectable AXDND1 expression in the sperm of the patient. Transmission electron microscopy analysis showed disorganized sperm axonemal structure in the patient, particularly missing the central pair of microtubules. Immunofluorescence staining showed the absence of sperm-associated antigen 6 (SPAG6) and dynein axonemal light intermediate chain 1 (DNALI1) signals in the sperm flagella of the patient. These findings indicate that AXDND1 is essential for the organization of flagellar axoneme and provide direct evidence that AXDND1 is a MMAF gene in humans, thus expanding the phenotypic spectrum of AXDND1 frameshift mutations.
Humans ; Male ; Sperm Tail/ultrastructure* ; Frameshift Mutation ; Infertility, Male/pathology* ; Pakistan ; Pedigree ; Consanguinity ; Axonemal Dyneins/genetics* ; Adult ; Spermatozoa ; Exome Sequencing

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

BACKGROUND:A novel aggregation induced luminescence fluorescence probe based on the mechanism of intramolecular motility restriction can be used for the detection of disease markers,tumor diagnosis,and bacterial imaging recognition.OBJECTIVE:To prepare a near-infrared Ⅱ nanoprobe called FA-DSPE-PEG-AIE@NPs based on aggregation-induced luminescence,and to explore its potential of targeted fluorescence imaging and photothermal therapy for prostate cancer.METHODS:Lecithin,polyethylene glycol phospholipids,folate polyethylene glycol phospholipids,and aggregation induced luminescent molecule 2TT-oC26B were used as raw materials.The folate-targeted nanoprobe FA-DSPE-PEG-AIE@NPs were prepared by nanoprecipitation method,and basic characterization of the nanoprobe was detected.PC3 human prostate cancer cells and human umbilical vein endothelial cells were selected as experimental objects.The cytotoxicity and phototoxicity of FA-DSPE-PEG-AIE@NPs were detected.PC3 human prostate cancer cells were selected as the experimental objects.Flow cytometry and calcein/propidium iodide staining were used to assess the efficacy of photothermal therapy.PC3 human prostate cancer cells were injected subcutaneously into the abdomen of BALB/C nude mice to establish a tumor model,and nanoprobes FA-DSPE-PEG-AIE@NPs were injected into the tail vein.The mice were immediately subjected to near-infraced Ⅱ fluorescence imaging.12 hours later,the tumor was irradiated by laser for 5 minutes,and the photothermal treatment effect was observed within 14 days.RESULTS AND CONCLUSION:(1)The nanoprobes FA-DSPE-PEG-AIE@NPs with a mean diameter of(171.0±0.3)nm showed a well-defined spherical morphology.The nanoprobe had a wide absorption spectrum and tail emission extending to the near-infrared Ⅱ which emitted a bright near-infrared Ⅱ fluorescence signal under laser irradiation.(2)The nanoprobes FA-DSPE-PEG-AIE@NPs had low cytotoxicity and high phototoxicity.The results of flow cytometry and calcein/propidium iodide staining showed that nanoprobes FA-DSPE-PEG-AIE@NPs had an obvious photothermal killing effect on human prostate cancer cells.(3)The nanoprobes FA-DSPE-PEG-AIE@NPs successfully achieved near-infrared Ⅱ fluorescence imaging of mouse blood vessels and the maximum enrichment time of the tumor was 12 hours.The vessel widths of the hind leg and single blood vessels of abdomen were estimated to be 0.63 mm and 0.42 mm.The tumor volume of mice was significantly smaller after 14 days of treatment.(4)The results show that nanoprobes FA-DSPE-PEG-AIE@NPs can achieve near-infrared Ⅱ fluorescence imaging and photothermal therapy of prostate cancer effectively,which may provide a new method for early diagnosis and combined treatment of prostate cancer.

A recombinant adenovirus(rAd)for expression of Mycobacterium tuberculosis(M.tb)c-di-AMP phosphodiesterase CnpB was constructed,and its induced humoral immune response was detected.The codon-optimized gene of M.tb CnpB was cloned into the adenoviral plasmid pcADV.The recombinant plasmid pcADV-CnpB was transfected into HEK293T cells,and expression was detected with Western blot.The recombinant plasmid pcADV-CnpB and the backbone plasmid were co-transfected into HEK293T cells to obtain the recombinant adenovirus rAd-CnpB.rAd-CnpB was amplified in HEK293T cells,and the target protein expression of rAd-CnpB was detected with Western blot and immunofluorescence.Mice were immunized with rAd-CnpB intranasally,and their sera and bronchoalveolar lavage fluid(BALF)were collected.ELISA was used to detect levels of antigen-specific antibodies.Restriction enzyme digestion and sequencing indicated that the recombinant plasmid pcADV-CnpB was successfully constructed and led to protein expression in eukaryotic cells.rAd-CnpB was packaged and produced in HEK293T cells.After amplification and purification,rAd-CnpB with a titer of 5.53×1010 PFU/mL was obtained.rAd-CnpB led to CnpB expression in HEK293T cells.Intranasal immunization with rAd-CnpB increased levels of IgG and secretory IgA in BALF and led to high levels of IgG in sera.rAd-CnpB,the recombinant adenovirus for expression of c-di-AMP phosphodiesterase CnpB was successfully constructed,and was found to induce antigen-specific humoral and mucosal immune responses through mucosal immunization.Thus,rAd-CnpB may be used in further research on new TB vaccine strategies.

Aging is characterized by a gradual deterioration of the physiological integrity of cells,tissues,and or-gans,resulting in a decrease in the body's physiological functions and an acceleration of the onset of age-related diseases,ultimately leading to death.The aging of the liver,which is a critical metabolic organ,is closely linked to various chronic liver diseases,such as hepatitis,liver fibrosis,and cirrhosis,and it ex-acerbates their prognosis and is a primary risk factor for their development at all stages.Therefore,a comprehensive understanding of the causes,mechanisms,and potential therapeutic targets associated with liver aging holds significant clinical importance for delaying or potentially reversing liver aging and for treating chronic liver diseases.Stem cells,which are potential anti-aging agents,present a promising and effective alternative for managing liver aging.In this review,we systematically assess the driving factors,characteristics,and underlying mechanisms of liver aging.We then discuss the current status of the use of stem cells to mitigate liver senescence and address related liver diseases.The review reveals that a stem cell-based approach represents a promising therapeutic strategy for combating liver aging and associated diseases.

Objective:This study aims to establish a real world study (RWS) quality evaluation model based on Analytic Hierarchy Process -Fuzzy Comprehensive Evaluation Methods (AHP-FCE), and provide a reference basis for researchers and quality control personnel in medical and health institutions.Methods:The evaluation index framework of RWS quality was obtained by analyzing national RWS regulations. Two rounds of Delphi expert consultation were conducted, while the results were statistically analyzed and weighted using the AHP method by Yaahp software. The comprehensive evaluation model of RWS was established by combining AHP and FCE methods.Results:The RWS quality evaluation model based on AHP-FCE methods was constructed, including 6 primary indicators, 31 secondary indicators, and specific indicator evaluation methods, and validated through RWS case analysis.Conclusions:The RWS quality evaluation model constructed in this study is reasonable and practical, which can provide a reference for institutional researchers and quality managers.