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.

AIM: To investigate expression differences and mechanism of action of serine/threonine kinase 1(AKT1), ATP synthase F1 subunit(ATP5F1), and Bcl-2-associated anti-apoptotic gene 3(BAG3)in the occurrence and progression of pterygium.METHODS:Pterygium-related gene expression data were retrieved from GEO database to screen differentially expressed genes(DEGs). String and Cytoscape were used to construct protein-protein interaction(PPI)networks and identify core targets. GO/KEGG enrichment analyzed mitochondrial metabolic pathways. The pterygium samples(head/body)were collected; pathological features were evaluated by HE staining, and the expression of AKT1, ATP5F1, and BAG3 was detected via immunohistochemistry(IHC).RESULTS:A total of 1 264 DEGs were identified(585 upregulated, 679 downregulated). GO analysis showed significant enrichment of mitochondrial pathways regarding to biological processes, cell components and molecular functions; KEGG analysis highlighted oxidative phosphorylation and chemical carcinogenesis-reactive oxygen species(ROS)pathways. The head and body pterygium samples were collected from 28 cases(28 eyes)that received pterygium surgery, including 7 males(7 eyes)and 21 females(21 eyes), with a mean age of 69.32±8.98 years. HE staining showed more severe dysplasia, disordered stroma, and inflammation in the pterygium head versus the body. IHC detection confirmed significantly lower AKT1, ATP5F1, and BAG3 expression in the head compared with the body(all P<0.05).CONCLUSION:GEO-based bioinformatics and experiments confirmed that AKT1/ATP5F1/BAG3(mitochondrial genes)had significant differential expression in pterygium, correlating with pathological progression. They may regulate mitochondrial metabolism to mediate pterygium progression, offering new insights for targeted therapy.

Subtype classification of age-related macular degeneration (AMD) based on optical coherence tomography (OCT) images serves as an effective auxiliary tool for clinicians in diagnosing disease progression and formulating treatment plans. To improve the classification accuracy of AMD subtypes, this study proposes a keypoint-based, attention-enhanced residual network (KPA-ResNet). The proposed architecture adopts a 50-layer residual network (ResNet-50) as the backbone, preceded by a keypoint localization module based on heatmap regression to outline critical lesion regions. A two-dimensional relative self-attention mechanism is incorporated into convolutional layers to enhance the representation of key lesion areas. Furthermore, the network depth is appropriately increased and an improved residual module, ConvNeXt, is introduced to enable comprehensive extraction of high-dimensional features and enrich the detail of lesion boundary contours, ultimately achieving higher classification accuracy of AMD subtypes. Experimental results demonstrate that KPA-ResNet achieves significant improvements in overall classification accuracy compared with conventional convolutional neural networks. Specifically, for the wet AMD subtypes, the classification accuracies for inactive choroidal neovascularization (CNV) and active CNV reach 92.8% and 95.2%, respectively, representing substantial improvement over ResNet-50. These findings validate the superior performance of KPA-ResNet in AMD subtype classification tasks. This work provides a high-accuracy, generalizable network architecture for OCT-based AMD subtype classification and offers new insights into integrating attention mechanisms with convolutional neural networks in ophthalmic image analysis.
Tomography, Optical Coherence/methods* ; Humans ; Macular Degeneration/diagnostic imaging* ; Neural Networks, Computer

Objective To explore the relationship between blood glucose variability, disease severity and prognosis of the patients with acute pancreatitis. Methods Total of 242 patients with acute pancreatitis admitted to the department of emergency from January 2019 to December 2019 were enrolled. The organ failure was evaluated according to Marshall's score, the severity of the disease was evaluated according to Atlanta's score, and the blood glucose indexes of three groups of patients with mild acute pancreatitis, moderate severe acute pancreatitis and severe acute pancreatitis were compared within seven days after admission. The relationship between blood glucose index and disease severity in different patients with acute pancreatitis was analyzed. Taking whether a puncture was performed at admission, whether the patient was admitted to the intensive care unit (ICU), and whether the patient died as endpoint events as classification factors, the relationship between blood glucose indicators and disease prognosis of patients with acute pancreatitis was analyzed using the One-Way ANOVA, Kruskal-Wallis test, Mann-Whitney U test, receiver operating characteristic curve (ROC curve), etc. Results Of the 242 patients, 70 cases (28.9%) were mild acute pancreatitis, 71 cases (29.3%) with moderate severe acute pancreatitis, 101 cases (41.7%) with severe acute pancreatitis. There was no statistically significant difference in the coefficient of variation of blood glucose among the three groups within 7 days of admission. The mean, standard deviation, maximum, minimum value and difference between maximum and minimum value of venous blood glucose in severe acute pancreatitis group were higher than those in moderate severe acute pancreatitis group, while those in moderate severe acute pancreatitis group were higher than those in mild acute pancreatitis group. The mean value of blood glucose of invasive operation group (IOP) (n=55) was higher than that of non-invasive operation (NOP) group(n=187). Conclusions The blood glucose level and fluctuation range of patients with acute pancreatitis within seven days after admission, are of great significance for the judgment of the severity and prognosis of the disease.

The spatio-temporal heterogeneity of breast cell subsets forms the fundamental biological basis for physiological development and pathological progression, including tumorigenesis; however, its complex regulatory mechanisms are not yet fully elucidated. With its high-resolution capabilities, single-cell RNA sequencing (scRNA-seq) technology offers a powerful tool for dissecting this cellular heterogeneity. This technology enables the construction of high-precision breast cell atlases, the accurate identification of distinct cell subsets, and the reconstruction of differentiation trajectories from stem/progenitor cells to functional epithelial cells. By resolving the transcriptional regulatory networks that govern cell fate determination, intercellular communication patterns, and dynamic microenvironmental interactions, scRNA-seq has unveiled the molecular foundations of breast development and provided new perspectives on the pathogenesis of related diseases such as breast cancer and macromastia. Furthermore, scRNA-seq demonstrates significant potential for discovering early molecular markers of disease, deciphering tumor heterogeneity, and elucidating mechanisms of therapeutic resistance. The continued application of scRNA-seq for dissecting breast cell heterogeneity, combined with its integration with multi-modal data such as spatial omics, promises to provide critical evidence and new insights for revealing the molecular mechanisms of breast development-related diseases and for formulating precision therapeutic strategies.
Humans ; Single-Cell Analysis/methods* ; Female ; Breast Neoplasms/pathology* ; Sequence Analysis, RNA/methods* ; Breast/cytology*

Somatostatin receptor 1 (SSTR1) is a crucial therapeutic target for various neuroendocrine and oncological disorders. Current SSTR1-targeted treatments, including the first-generation somatostatin analog lanreotide (Lan) and the second-generation analog pasireotide (Pas), show promise but encounter challenges related to selectivity and efficacy. This study presents high-resolution cryo-electron microscopy structures of SSTR1 complexed with Lan or Pas, revealing the distinct mechanisms of ligand-binding and activation. These structures illustrate unique conformational changes in the SSTR1 orthosteric pocket induced by each ligand, which are critical for receptor activation and ligand selectivity. Combined with the biochemical assays and molecular dynamics simulations, our results provide a comparative analysis of binding characteristics within the SSTR family, highlighting subtle differences in SSTR1 activation by Lan and Pas. These insights pave the way for designing next-generation therapies with enhanced efficacy and reduced side effects through improved receptor subtype selectivity.

Objective·To determine hyaluronan(HA)expression in the endocrine-resistant microenvironment of estrogen receptor-positive(ER+)breast cancer and elucidate its impact on the acquired resistance.Methods·Chemiluminescent immunoassay was used to quantify HA levels in the culture supernatants of fulvestrant-resistant breast cancer cells.An immunofluorescence(IF)assay was performed to visualize the colocalization of CD44 and HA in MCF7/FulR cells.Using an established adaptive endocrine-resistant breast cancer mouse model,HA expression in resistant breast cancer tissues was assessed by immunohistochemistry(IHC)assay.Single-cell RNA sequencing(scRNA-seq)and RNA sequencing(RNA-seq)were conducted to examine transcriptomic profiles and alterations in HA-related genes in resistant breast cancer cells.Flow cytometry(FCM)was utilized to measure the proportion of CD44+CD24-cells in MCF7/FulR.The correlation between HA synthesis genes and cell stemness was investigated in clinical ER+breast cancers from GEO data sets.Hyaluronidase(HAase)treatment was applied to remove the"HA coat",and RT-qPCR and Western blotting analysis were carried out to monitor changes in stemness-related molecules.CCK-8 assays,flow cytometry(FCM),and Hoechst 33258 staining were performed to determine changes in apoptosis and fulvestrant efficiency after HAase treatment.Results·IF results revealed that compared with MCF7 cells,the"HA coat"on the surface of MCF7/FulR cells was significantly thickened.IHC demonstrated markedly increased HA retention in fulvestrant-resistant mouse breast cancer tissues.ScRNA-seq and RNA-seq analyses indicated elevated expression of stemness-related genes and HA synthesis-associated genes in fulvestrant-resistant breast cancer cells.Correlation analysis revealed a positive association between HA synthesis and cancer stemness in ER+breast cancer.IF and RT-qPCR results demonstrated that removing the HA coating from the surface of MCF7/FulR cells led to a significant reduction in the expression of stemness-related molecules;concurrently,CCK-8 assays,FCM analysis,and Hoechst 33258 staining revealed that"HA coat"clearance reduced MCF7/FulR'tolerance to fulvestrant and increased apoptosis.Conclusion·Endocrine-resistant breast cancer cells develop an enriched"HA coat",which promotes stemness in fulvestrant-resistant tumors.Disruption of this HA coat through HAase treatment effectively reduces cell stemness,induces apoptosis,and re-sensitizes breast cancer cells to fulvestrant.

The aim of this paper was to investigate the serotypes,virulence factors and drug resist-ance of clinical isolates of Pasteurella rnultocida of porcine origin in recent years.Morphological screening and polymerase chain reaction(PCR)were used to isolate and identify 119 isolates from nasal swabs and lung tissue samples sent from swine farms in Zhejiang Province from 2010 to 2024.The isolates of Pasteurella multocida were subjected to capsular polysaccharide serotyping,lipopolysaccharide serotyping,virulence factor detection and drug resistance analysis by PCR and Kirby-Bauer disc agar diffusion method(K-B).The results showed that there were 64 strains(53.7％)of A-type,54 strains(45.3％)of D-type and 1 strain(0.9％)of F-type among the capsu-lar polysaccharide serotypes,and 10 strains(8.4％)of L1-type,20 strains(16.8％)of L3-type,86 strains(72.2％)of L6-type,and 3 strains(2.6％)of undetermined type among the lipopolysaccha-ride serotypes.The amplification results of 10 virulence genes showed that the detection rate of virulence genes hgbA,higbB and fimA was over 86.0％,the detection rate of toxA was 8.4％,while the virulence gene tbpA was not detected.There were also differences in the distribution vir-ulence genes in different capsular polysaccharide serotypes.Virulence factor pfhA was detected in type A and F but not in type D.The detection rate of adhesin gene tadD in serotype A(92.2％)was significantly higher than that of type D(9.3％),and,on the contrary,the detection rate of ad-hesin gene hsf-l in serotype D(90.7％)was significantly higher than that of type A(20.3％).Drug resistance analysis revealed that Pasteurella multocida showed high susceptibility to antimi-crobial drugs such as amoxicillin,ampicillin,cephalosporins,doxycycline,fosfenicol and ciprofloxa-cin,and showed strong resistance to antimicrobial drugs such as lincomycin,cotrimoxazole,genta-micin and amikacin,and there were 54 multi-drug resistant strains(78.3％).In summary,capsular polysaccharide serotypes were dominated by type A and D,lipopolysaccharide serotypes were dom-inated by L6,the distribution of some virulence genes varied greatly among different serotypes,and the proportion of multi-resistant strains was high,which provide reference for the prevention and control of this disease.

Objective To investigate the mechanism of action of the Astragalus-Chinese yam combination in treating cancer-related fatigue(CRF)in mice.Methods The active components and related targets of Astragalus-Chinese yam were obtained from the traditional Chinese medicine systems pharmacology database and analysis platform.CRF-associated targets were identified using the GeneCards database.Intersecting targets were analyzed using the DAVID database for gene ontology and kyoto encyclopedia of genes and genomes enrichment analyses.A network diagram depicting"drug-active component-intersecting targets-disease"was constructed using Cytoscape software,and a protein-protein interaction network was created to identify the top five core target proteins based on degree values.Molecular docking simulations were performed using Autodock Vina software.Twenty-five mice were divided randomly into a blank group and a modeling group in a 1∶4 ratio.After successfully establishing the CRF model using Lewis lung cancer cells,mice in the modeling group were further divided into model,Chinese yam(0.2 g/kg),Astragalus(0.6 g/kg),and Astragalus-Chinese yam combination groups(0.3+0.1 g/kg)(n=5 mice per group).The treatments were administered by gavage twice daily for 14 consecutive days.Grip-strength and forced-swimming tests were conducted.The mice were then euthanized and tissues were collected.The gastrocnemius muscles were weighed and stained with hematoxylin and eosin to reveal the muscle fiber morphology.Results A total of 23 effective active components of Astragalus-Chinese yam were identified through network pharmacology analysis,with 199 intersecting drug-disease targets.These targets mainly participated in biological processes such as protein phosphorylation through cellular components(cytoplasm,membrane,nucleus)and performed molecular functions such as protein binding.A total of 155 signaling pathways,including pathway in cancer and the phosphatidylinositol 3-kinase-protein kinase B signaling pathway,were involved in CRF.The critical targets of Astragalus-Chinese yam for CRF included serine/threonine kinase,tumor necrosis factor,epidermal growth factor receptor,B-cell lymphoma 2,and caspase 3.The active components quercetin and diosgenin interacted with the highest number of targets and demonstrated binding energies＜-5.0 kJ/mol with the five core targets,indicating strong ligand-receptor binding affinity.Mice in the Chinese yam and Astragalus groups exhibited increased grip strength and prolonged swimming times compared with the model group.Gastrocnemius muscle volume and mass were increased,with well-organized muscle fibers and clear boundaries,and the effects were even more pronounced in the Astragalus-Chinese yam combination group.Conclusions Astragalus-Chinese yam treats CRF via a multi-target,multi-pathway approach,enhancing muscle strength and endurance in mice,improving gastrocnemius muscle volume and mass,and alleviating muscle atrophy,thereby mitigating the associated symptoms of CRF in mice.

Objective:To investigate the application value of dermoscopy and reflectance confocal microscopy (RCM) in identifying field cancerization in actinic keratosis (AK) in the elderly.Methods:A retrospective analysis was conducted on clinical, dermoscopic, and RCM features of elderly (> 60 years old) patients, who were confirmedly diagnosed with AK and had complete medical records at Shanghai Skin Disease Hospital from January 2022 to December 2023.Results:A total of 132 elderly patients with AK were included. Dermoscopy showed brownish-gray pseudonetwork pigment patterns, follicular horn plugs, irregular branched vessels, and rosette signs in AK lesions. Histopathological examination in 51 patients revealed that 47 (92.16%) were confirmedly diagnosed with AK. Field cancerization was observed in 106 patients (80.3%), among whom 66 (62.26%) had irregular branched vessels, 88 (83.02%) predominantly exhibited brownish-gray pseudonetwork pigment patterns, and 83 (78.30%) showed scattered brown pigment networks/fingerprint-like patterns. Post-treatment follow-up of 63 patients showed varying degrees of changes in vascular and pigment structures by dermoscopy, with significant reductions in follicular horn plugs and superficial yellow-white scales or keratin masses. RCM examinations in 41 AK patients all showed disordered arrangements of keratinocytes presenting as atypical honeycomb patterns, with atypical cells in the AK lesions; in the field cancerization areas of 20 patients, RCM revealed keratinocytes disorderedly arranged in an irregular honeycomb pattern, with some keratinocytes exhibiting mild atypia. Thirty-four AK patients underwent dynamic RCM monitoring before and after 1, 3 and 6 months of ALA-PDT treatment, which showed gradual regularization of arrangements of keratinocytes and reduction of atypical cells, as well as reappearance of atypical keratinocytes upon recurrence.Conclusions:The incidence of field cancerization was relatively high in elderly AK patients. Dermoscopy and RCM are helpful for the early identification of AK and field cancerization, especially in patients with multiple lesions and with difficulties in multi-site biopsy.