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.

Objective The pathogenic characteristics of Escherichia coli(E.coli)in bacterial infections were analyzed using a combination of multiple molecular typing techniques in order to provide evidence for the management of clinical medication safety.Methods Samples from some bacterial infection-related cases in a district of Chongqing in 2021 were collected.A total of 30 E.coli strains were selected by a completely random method,and phoA gene PCR assay was performed for identification.Molecular typing of the strains was analyzed using pulsed-field gel electrophoresis(PFGE)and multilocus sequence typing(MLST).Antimicrobial susceptibility testing was conducted to determine the drug resistance of the strains,and four β-lactamase-encoding genes(blaCTX-M,blaTEM,blaSHV,blaZ)were selected to detect the carriage of resistance genes.Results All 30 E.coli strains displayed the phoA gene target band.Their PFGE banding patterns,with a similarity of 50%～98%,could be classified into 8 clusters.Cluster C was the dominant group,accounting for 53.3%(16/30).C1 and C2 exhibited high genetic correlation,indicating a close phylogenetic relationship.One E.coli strain could not be assigned a sequence type(ST)by MLST,while the remaining 29 E.coli isolates were classified into 16 different STs,demonstrating a polymorphic distribution.Among them,10 isolates belonged to ST131(10/30,33.33%).Evolutionary analysis of the 10 ST131 E.coli strains revealed their distribution across different branches,indicating varying degrees of genetic relatedness.Antimicrobial susceptibility testing revealed that all 30 E.coli strains exhibited varying degrees of resistance,with the highest resistance rate observed against the β-lactam antibiotic ampicillin(25/30,83.33%).Among them,60.0%were multidrug-resistant bacteria(MDRB).These MDRB strains exhibited 16 distinct resistance profiles,displaying a scattered distribution without a dominant resistance pattern.50.0%(9/18)of the MDRB strains exhibited six-drug resistance,while the most drug-resistant strain showed eight-drug resistance.Furthermore,the blaCTX-M gene carriage rate among the 30 E.coli strains was 86.67%(26/30),while no blaZ gene was detected.Conclusion E.coli related to bacterial infections from a Chongqing district exhibited diverse PFGE/MLST patterns and significant drug resistance.The application of multiple molecular typing techniques can reveal the genetic diversity,evolutionary relationships,and antimicrobial resistance characteristics of pathogenic bacteria.Countermeasures It is recommended to enhance the molecular typing and drug resistance surveillance network for pathogenic bacteria,establish an early warning mechanism,and implement hierarchical management of antibiotics,thereby improving targeted prevention and epidemic traceability capabilities for key drug-resistant bacteria such as ST131.

Mitochondrial metabolism is crucial for providing energy and heme precursors during erythroid development. Oxoglutarate dehydrogenase complex (OGDC) is a key enzyme in the mitochondrial tricarboxylic acid (TCA) cycle, and its level gradually increases during erythroid development, indicating its significant role in erythroid development. The aim of the present study was to explore the role and mechanism of OGDC in erythroid development. In this study, we treated erythroid progenitor cells with CPI-613, a novel lipoic acid analog that competitively inhibits OGDC. The results showed that CPI-613 inhibited erythropoietin (EPO)-induced differentiation and enucleation of human CD34⁺ hematopoietic stem cells into erythroid cells, suppressed cell proliferation, and induced apoptosis. The results of in vivo experiments showed that CPI-613 also hindered the recovery of mice from acute hemolytic anemia. Further mechanism research results showed that CPI-613 increased reactive oxygen species (ROS) in erythroid progenitor cells, inhibited mitochondrial respiration, caused mitochondrial damage, and suppressed heme synthesis, thereby inhibiting erythroid differentiation. Clinical research results showed that oxoglutarate dehydrogenase (OGDH) protein expression levels were up-regulated in bone marrow cells of polycythemia vera (PV) patients. Treatment with CPI-613 significantly inhibited the excessive proliferation and differentiation of erythroid progenitor cells of the PV patients. These findings demonstrates the critical role of OGDC in normal erythroid development, suggesting that inhibiting its activity could be a novel therapeutic strategy for treating PV.
Animals ; Humans ; Mitochondria/metabolism* ; Mice ; Ketoglutarate Dehydrogenase Complex/physiology* ; Cell Differentiation/drug effects* ; Cells, Cultured ; Erythropoiesis/drug effects* ; Reactive Oxygen Species/metabolism* ; Cell Proliferation/drug effects* ; Erythroid Precursor Cells/cytology* ; Apoptosis/drug effects* ; Thioctic Acid/pharmacology* ; Caprylates ; Sulfides

The interactions between microorganisms and medicinal plants are crucial to the quality improvement of medicinal plants. Medicinal plants attract microorganisms to colonize by secreting specific compounds and provide niche and nutrient support for these microorganisms, with a symbiotic network formed. These microorganisms grow in the rhizosphere, phyllosphere, and endophytic tissues of plants and significantly improve the growth performance and medicinal component accumulation of medicinal plants by promoting nutrient uptake, enhancing disease resistance, and regulating the synthesis of secondary metabolites. Microorganisms are also widely used in the ecological planting of medicinal plants, and the growth conditions of medicinal plants are optimized by simulating the microbial effects in the natural environment. The interactions between microorganisms and medicinal plants not only significantly improve the yield and quality of medicinal plants but also enhance their geoherbalism, which is in line with the concept of green agriculture and eco-friendly development. This study reviewed the research results on the interactions between medicinal plants and microorganisms in recent years and focused on the analysis of the great potential of microorganisms in optimizing the growth environment of medicinal plants, regulating the accumulation of secondary metabolites, inducing systemic resistance, and promoting the ecological planting of medicinal plants. It provides a scientific basis for the research on the interactions between medicinal plants and microorganisms, the research and development of microbial agents, and the application of microorganisms in the ecological planting of medicinal plants and is of great significance for the quality improvement of medicinal plants and the green and sustainable development of TCM resources.
Plants, Medicinal/metabolism* ; Bacteria/genetics* ; Symbiosis

Climate and land use changes may significantly impact the habitat distribution of Gastrodia elata, an endangered traditional medicinal plant. Accurately predicting its future potential suitable habitats is crucial for its conservation and sustainable development. This study integrates current distribution data of G. elata with 56 environmental variables and uses the MaxEnt model to predict changes in its suitable habitats under current climate conditions and four future climate scenarios(SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results show that October precipitation and December minimum temperature are key environmental factors influencing its distribution. Under the current climate, optimal habitats for G. elata are concentrated in montane forest areas in Sichuan, Yunnan, Guizhou, and Hubei, which meet the species' requirements for understory growth. Across all future scenarios, the suitable habitat of G. elata consistently shows a stable northward shift, with a steady increase in suitable areas, extending to the middle and lower reaches of the Yangtze River and the Huang-Huai region, and even expanding into Liaoning, Jilin, and southern Heilongjiang. Land use analysis, taking into account the protection of arable land and the utilization of forest resources, indicates that by 2100, under future climate conditions, arable land in medium-to high-suitability areas is expected to increase by 30%-124%. While the conversion of non-suitable forest land into suitable habitats is projected to increase by 5%-52%, the growth of medium-to high-suitability areas within forests is relatively modest, ranging from 1% to 24%. These findings highlight the need to balance agricultural expansion with forest resource conservation to ensure the long-term sustainability of G. elata and provide scientific guidance for future suitable habitat management.
Ecosystem ; China ; Climate Change ; Gastrodia/growth & development* ; Conservation of Natural Resources ; Plants, Medicinal/growth & development*

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

OBJECTIVE: To preliminarily investigate the effect of buccal acupuncture therapy on ameliorating postoperative pain and enhancing recovery quality among patients undergoing radical resection of gastrointestinal cancers. METHODS: Fifty-two participants were randomized at a 1:1 ratio to either the buccal acupuncture or the control group. The acupuncture protocol entailed targeting 5 predetermined acupoints [CA-2 (Upper jiao), CA-3 (Middle jiao), CA-4 (Lower jiao), CA-6 (back), and CA-7 (waist) and two adjustable acupoints [CA-1 (head) and CA-8 (sacrum)] on each side of the face. The outcomes included the Numeric Rating Scale (NRS) scores for each day within 7 days postoperatively, 15-Item Quality of Recovery Scale (QoR-15) scores, analgesics consumption during and after surgery, incidences of postoperative nausea and vomiting, and perioperative levels of interleukin-6 and glucose. Adverse events related to acupuncture were recorded. RESULTS: Of the initial 52 participants, 46 completed the study and were included in the analysis. Findings indicated that the buccal acupuncture group experienced significantly reduced resting NRS scores in post-anesthesia care unit and throughout the postoperative phase (P=0.001 and P=0.003, respectively), along with enhanced QoR-15 scores on the 3rd postoperative day (P=0.008), compared to the control group. No notable differences were identified in the remaining indicators (P>0.05). CONCLUSION Buccal acupuncture therapy demonstrated significant effectiveness in reducing postoperative pain and improving recovery quality for patients undergoing radical resection of gastrointestinal cancers, presenting a viable intervention without associated adverse outcomes. (Trial registration No. ChiCTR2200060441).
Humans ; Male ; Pilot Projects ; Female ; Acupuncture Therapy/methods* ; Pain, Postoperative/therapy* ; Middle Aged ; Gastrointestinal Neoplasms/surgery* ; Aged ; Acupuncture Points ; Adult

Objective To investigate the effects of Aurora kinase A(AURKA)on the tumor microenvironment of colorectal cancer(CRC)and to predict the active compounds in Chinese herbs that can target AURKA.Methods Based on the transcriptomic data and clinical information from 380 CRC tissues and 51 paracancerous tissues in The Cancer Genome Atlas(TCGA)database,the infiltration of different cells in the tumor tissues was analyzed using xCell and the binding of active compounds of Chinese herbs with AURKA was predicted through molecular docking.Results The expression of AURKA was significantly upregulated in CRC tissues compared with that in paracancerous tissues(P＜0.05),and CRC patients with high AURKA expression had shorter overall survival.Compared with the AURKA low-expression group,the abundance of macrophages,monocytes,and effector memory CD4+and CD8+T cells was significantly downregulated in the AURKA high-expression group(P＜0.05).In addition,the cytotoxicity of T cells was significantly reduced(P＜0.05).Further analysis revealed that AURKA expression was positively correlated with the abundance of myeloid-derived suppressor cells(MDSCs)and the expression levels of their chemokines CXCL2 and CXCL5(P＜0.05).Genes that were differentially expressed between the AURKA high-and low-expression groups were mainly enriched in monocyte migration,chemokine-induced cellular responses,and other related processes.Chinese herbal compounds,including hesperidin,aristololactam A Ⅱ a,anacardic acid,coumestrol,and 17β-estradiol,all showed binding energies to AURKA lower than-1.2 kcal/mol,indicating a certain level of binding stability.Among these Chinese herbal compounds,17β-estradiol exhibited the best binding stability to AURKA-3UOL.Conclusion The high expression of AURKA in CRC tissues suggests a poor clinical prognosis.AURKA can promote the development of a suppressive immune microenvironment in CRC,and 17β-estradiol,an active compound from Chinese herbs,is a potential therapeutic agent targeting AURKA.