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.

ObjectiveTo observe clinical effectiveness and safety of lumbar oscillatory manipulation in the treatment of patients with lumbar disc herniation. MethodsThis study recruited 90 lumbar disc herniation patients who were randomly divided into 45 cases each in the treatment group and the control group. The treatment group was given lumbar oscillatory manipulation， while the control group was given traditional lumbar obliquely pulling manipulation， and both groups were treated twice a week for 4 weeks. The Oswestry dysfunction index （ODI） score， lumbar spine mobility， and the absolute values of difference in hardness between the left and right sides of the lumbar erector spinae muscle were compared between groups of patients before treatment and after 2 and 4 weeks of treatment； the shear wave elastic modulus of multifidus muscle and abdominal muscle thickness were compared between groups before treatment and after 4 weeks of treatment； the clinical effectiveness of the treatment was compared， and the safety evaluation was carried out. ResultsCompared with the group before treatment， the ODI scores and the the absolute values of difference in hardness between the left and right sides of the lumbar erector spinae muscle decreased after 2 and 4 weeks treatment in both groups， and the mobility of the lumbar vertebrae in all directions of anterior flexion， posterior extension， left lateral flexion， and right lateral flexion increased； the shear wave elastic modulus of bilateral multifidus muscles of the fourth lumbar vertebral segments decreased， and the thickness of abdominal muscle increased after 4 weeks of treatment in both groups （P＜0.05）. Compared with the control group， the ODI score of the treatment group decreased after 2 weeks of treatment， and the shear wave elastic modulus value of bilateral multifidus muscle of the fourth lumbar vertebral segment decreased and the thickness of abdominal muscle increased after 4 weeks of treatment （P＜0.05）. The total effective rate was 90.48% （38/42） in the treatment group and 71.43% （30/42） in the control group， and the clinical effectiveness of the treatment group was better than that of the control group （P＜0.05）. No adverse events occurred in both groups during the study. ConclusionLumbar oscillatory manipulation is superior to traditional lumbar obliquely pulling manipulation in relieving symptoms of lumbar disc herniation and improving lumbar spine function， which may be related to its improvement in the elasticity of the multifidus muscle.

OBJECTIVE: To elucidate the rules of temporal and spatial variations in distal skin potential at Hegu (LI4) under different stimulation modes by extracting nonlinear characteristic parameters from array multichannel data and adopting multivariate statistical analysis. METHODS: Seven healthy subjects were selected and the surface potential at the left Quchi (LI11) was collected using 14×9 array multichannel electrodes. Using Hegu (LI4) on the left as the stimulation point, four stimulation modes were applied, i.e. being quiescent, point pressing, moxibustion, and manual needling manipulation. Electrical signals were collected for 30 s in each mode, with a 5-min interval between operations, and a sampling frequency of 16 384 Hz. The data was denoised using ensemble empirical mode decomposition (EEMD), and sample entropy (SaEn) features were extracted. Statistical analysis was conducted on these data using factor analysis and multivariate analysis of variance. RESULTS: The SaEn values of most electrode channels were higher under point pressing, moxibustion and manual needling manipulation compared with those under quiescent condition. Under manual needling manipulation, the SaEn value of the electrode channel reached the peak in the first time interval (1-5 s) and it was declining thereafter. Factor analysis showed that the specificity of activation channels was concentrated at the left Quchi (LI11) (loading capacity ≥0.90). Analysis of variance indicated that the significant differences were presented in average sample entropy (SaEn()) values of activation channels among different stimulation modes at Hegu (LI4) (P<0.001), but there was no statistically significant interaction effect between groups and time intervals (P>0.05). CONCLUSION Through nonlinear characteristic parameter extraction and multivariate statistical analysis, we have uncovered the complex temporal and spatial dynamical rules of distal skin potential at Hegu (LI4) under various stimulation modes and successfully identified the specific activation characteristics at Quchi (LI11).
Humans ; Moxibustion ; Acupuncture Points ; Male ; Adult ; Female ; Young Adult ; Acupuncture Therapy/instrumentation*

OBJECTIVE: To explore the pain-location interaction between pressure-sensitive points on the body surface and traditional acupoints in patients with chronic non-specific low back pain (CNLBP) under different disease courses, using Euclidean distance and multivariate statistical analysis. METHODS: A pressure-sensitive point detection was performed on 30 CNLBP patients with varying disease courses. A constant pressure was applied using an FDK20 algometer within a designated lumbar area, a total of 50 points were tested, and the tested points were numbered; the visual analogue scale (VAS) pain score was recorded simultaneously. MatlabR2022a9.12. software was used to extract the positions of pressure-sensitive points, and preprocessing and normalization of point location and VAS scores data were conducted. Under constraint conditions (VAS≥8.0 ∩ Euclidean distance to acupoint≤0.5), the proportion of pressure-sensitive points within the Euclidean distance threshold to each acupoint (PVD_acupoint) was calculated, followed by multivariate statistical analysis. RESULTS: ①Constrained analysis of PVD_acupoint showed that PVD_{Qihaishu (BL24)} and PVD_{Dachangshu (BL25)} were positively correlated with disease course (r=0.55, P<0.01). ②Factor analysis and silhouette analysis revealed that PVD_{Shenshu (BL23)} and PVD_{Dachangshu (BL25)} exhibited trends consistent with disease course progression (P>0.05), with different degree (P<0.01). CONCLUSION The PVD_acupoint value based on Euclidean distance can characterize the pressure sensitivity features of traditional acupoints associated with disease. Multivariate statistical analysis of PVD_acupoint confirms that selecting the acupoint combination of Shenshu (BL23) and Dachangshu (BL25) for CNLBP is associated with the distribution of surrounding pressure-sensitive points and the pathological characteristics of the condition.
Humans ; Acupuncture Points ; Low Back Pain/physiopathology* ; Male ; Female ; Middle Aged ; Adult ; Aged ; Acupuncture Therapy ; Young Adult ; Pressure

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

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 systematically evaluate the effectiveness of manual lymphatic drainage (MLD) in the prevention and treatment of breast cancer-related lymphedema (BCRL).Methods:Randomized controlled trials (RCTs) on the application of MLD for lymphedema after breast cancer surgery were retrieved from PubMed, Embase, Web of Science, CNKI, and Wanfang databases. The search covered studies published in English and Chinese from January 1, 2000 to February 1, 2024. Literature management and screening were conducted using EndNote X9 software based on inclusion and exclusion criteria. Relevant data from the final included studies for the meta-analysis were extracted. The outcome measures included the incidence of BCRL, reduced values in upper limb volume or circumference in BCRL patients, and the incidence of axillary web syndrome (AWS). Meta-analysis was performed using RevMan 5.4 software. The incidence of BCRL and AWS was expressed as relative risk ( RR) with 95% confidence intervals ( CI), and the Mantel-Haenszel method was used to calculate pooled effect sizes. For the reduction in limb volume or circumference in BCRL patients, standard mean difference ( SMD) with 95% CI was used, and the inverse variance method was applied to calculate pooled effect sizes. A P-value of <0.05 was considered statistically significant. The I2statistic was used to assess heterogeneity among studies; a fixed-effect model was applied when I2<50%, and a random-effects model was used when I2≥50%. Results:A total of 760 studies were retrieved, and 12 RCTs involving 2 279 post-breast cancer surgery patients were ultimately included. Among them, 1 132 patients in the control group received conventional treatment or combined compression bandaging, while 1 147 patients in the experimental group received MLD in addition to the control group interventions. Moderate to high heterogeneity was observed among the studies ( I2>50%, P<0.05), and a random-effects model was used for the analysis of all outcome measures between the two groups. The result showed that compared to the control group, the experimental group had a lower incidence of BCRL ( RR=0.35, 95% CI: 0.20-0.64, Z=3.42, P<0.001), the reduction in limb volume or circumference measurements increased( SWD=-1.28, 95% CI: -2.45~-0.10, Z=2.13, P=0.030), and a lower incidence of AWS ( RR=0.20, 95% CI: 0.07-0.55, Z=3.11, P=0.002). Conclusion:MLD can significantly prevent the occurrence of lymphedema and AWS in patients after breast cancer surgery, and for patients who have already developed lymphedema, MLD can also effectively reduces the degree of swelling. However, more high quality clinical studies are still needed for further verification.