While norepinephrine (NE) is the cornerstone of septic shock resuscitation, “macrocirculation–microcirculation decoupling” at high doses remains a critical clinical challenge. This study aimed to explore the quantitative tipping point where the NE dose shifts from a life-saving vasopressor to a microcirculatory toxin in septic intensive care unit patients.

In this prospective observational study (January–September 2025), we used handheld vital microscopy to monitor sublingual microcirculation (microvascular flow index [MFI], total vessel density, perfused vessel density, proportion of perfused vessels [PPV], and heterogeneity index [HI]) in adult septic patients within 24 hours of admission and on Day 3. Beyond standard linear analysis, generalized additive models were employed to identify the dose–response thresholds associated with microcirculatory deterioration, adjusted for Acute Physiology and Chronic Health Evaluation II, interleukin-6, and systemic hemodynamics.

Of 144 screened patients, 66 were analyzed. The NE dose showed strong linear correlations with lactate (r = 0.583, P < 0.001) and HI (r = 0.444, P < 0.001), and negative correlations with MFI (r = −0.492, P < 0.001). Crucially, generalized additive models analysis revealed a significant nonlinear “cliff effect”: when the NE dose exceeds the 0.71–0.80 µg/kg/min threshold (PPV: 0.71 µg/kg/min, HI: 0.72 µg/kg/min, MFI: 0.80 µg/kg/min), microcirculatory perfusion parameters deteriorate abruptly (all P < 0.05). Multivariable Cox regression identified an NE dose of 0.80 µg/kg/min as an independent predictor of increased mortality (hazard ratio = 1.32, 95% confidence interval: 1.28–3.10, P = 0.039).

In patients with septic shock, higher NE doses were associated with impaired microcirculatory perfusion and worse outcomes. These findings support individualized vasopressor titration and suggest that microcirculatory monitoring may help identify patients at risk of vasopressor-associated microvascular dysfunction.

Luteolin is a dietary flavonoid widely distributed in fruits and vegetables. It has attracted substantial preclinical interest due to its pleiotropic hepatoprotective effects against hepatic steatosis, inflammation, fibrosis, and hepatocellular carcinoma. By reviewing data from in vitro and in vivo studies, this review comprehensively synthesizes the full spectrum of liver-directed pharmacology of luteolin, covering metabolic and toxic liver injury, fibrosis, cancer, and viral hepatitis, while critically mapping each mechanism to specific disease contexts and systematically identifying the key challenges limiting its clinical translation. The underlying mechanisms of luteolin action involve activation of Nrf2-mediated antioxidant defense, suppression of NF-κB- and NLRP3-driven inflammatory responses, inhibition of hepatic stellate cell activation via the TGF-β/Smad and STAT3 pathways, and regulation of metabolic homeostasis through liver X receptor (LXR)/SREBP-1c and AMPK signaling. Despite well-characterized mechanisms in preclinical models, several critical gaps hinder its clinical translation: (1) Rigorous randomized controlled trials in well-defined patient populations are scarce, with only one combination supplement study reported. (2) The relative contribution of luteolin metabolites to its overall bioactivity remains poorly understood, even though derivatives such as luteolin-7-diglucuronide exhibit distinct pharmacological properties. Cell-type-specific delivery systems, which show promise in preclinical fibrosis and cancer models, have not been evaluated clinically. (3) Systematic studies on the synergistic effects of luteolin with standard-of-care drugs remain largely exploratory. Overall, luteolin is a promising multi-target nutraceutical for liver diseases, and its clinical translation requires optimized delivery strategies, investigation of metabolite activity, and well-designed human clinical trials.

Apatinib has been shown to be efficacious in the treatment of gallbladder cancer. However, the underlying mechanisms remain unclear. This study aimed to explore pathways related to the antitumor effects of apatinib at the cellular level in gallbladder cancer.

NOZ and GBC-SD gallbladder cancer cells were treated with apatinib at concentrations of 0 μM, 10 μM, or 20 μM. The effect of apatinib on the proliferation of these cells was assessed using MTT and colony formation assays, and the effects of apatinib on cell cycle progression and DNA synthesis were evaluated using flow cytometry. Clinical cancer tissue samples, along with paired adjacent normal tissue samples, were obtained from 10 patients with gallbladder cancer. Immunohistochemistry, western blotting, and quantitative real-time polymerase chain reaction analyses were conducted to elucidate molecular changes induced by apatinib treatment.

Treatment with 20 μM apatinib significantly inhibited the expression of phosphorylated (p)-vascular endothelial growth factor receptor 2 (VEGFR2), p-AKT, and histone deacetylase 1 (HDAC1). Additionally, apatinib treatment led to upregulated expression of p-cyclin-dependent kinase 1, p21, and Bax, and downregulated expression of cell division cycle 25B, B-cell lymphoma 2, Snail, and Slug. Apatinib decelerated DNA replication and induced cell cycle arrest at the G2/M phase, consequently suppressing the proliferation of gallbladder cancer cells.

Apatinib inhibits the proliferation of gallbladder cancer cells, and the mechanism involves VEGFR2/AKT, HDAC1, and downstream genes. These findings provide a basis for further investigation into the molecular mechanisms underlying the inhibitory effect of apatinib in gallbladder cancer.

Thyroid nodules are increasingly detected in clinical practice, and accurate imaging evaluation is essential for risk stratification, treatment planning, and postoperative surveillance of thyroid cancer. Although ultrasound remains the first-line modality for thyroid nodule assessment, the roles of computed tomography (CT), spectral CT, magnetic resonance imaging (MRI), and positron emission tomography-computed tomography (PET-CT) vary across clinical scenarios, and the optimal integration of these modalities remains insufficiently standardized. In particular, existing studies often focus on individual imaging techniques, while practical guidance on modality selection for initial screening, preoperative anatomical assessment, recurrence monitoring, and high-risk disease evaluation remains limited. This narrative review summarizes the imaging principles, clinical indications, diagnostic value, advantages, and limitations of ultrasound, CT, spectral CT, MRI, and PET-CT in the evaluation of thyroid nodules and thyroid cancer. Future advances should focus on standardized multimodal imaging strategies, quantitative functional imaging, radiomics, and carefully validated artificial intelligence-assisted approaches to improve individualized diagnosis and management of thyroid nodules and thyroid cancer.

Early detection of gastric cancer is critical for reducing incidence and mortality, as well as for improving survival outcomes. Although gastroscopy remains the gold standard for gastric cancer screening and diagnosis, its invasiveness, discomfort during the procedure, and limited acceptability restrict population participation and screening coverage. Recently, rapid advances in liquid biopsy technologies have led to the discovery of numerous multi-omics biomarkers spanning genomics, transcriptomics, proteomics, and metabolomics, with promising diagnostic performance. However, their translational value for population-based gastric cancer screening and control remains insufficiently characterized. This review aims to provide a comprehensive overview of multi-omics biomarkers for gastric cancer screening and to evaluate their potential role in advancing population-level gastric cancer control. First, we synthesize multi-omics biomarkers with diagnostic and screening relevance across the continuum of gastric carcinogenesis, from chronic inflammation and atrophy to intestinal metaplasia, dysplasia, and early gastric cancer. Furthermore, we highlight the integrative value of multi-omics biomarkers, current limitations, translational challenges, and future opportunities for moving biomarkers from discovery to implementation in organized screening programs. In conclusion, multi-omics biomarkers have the potential to complement existing screening strategies by providing scalable, non-invasive, and risk-adapted approaches for early gastric cancer detection. Bridging the gap between biomarker discovery and real-world implementation will be essential for realizing their value in future gastric cancer screening programs.

Bladder cancer (BC) remains a major public health concern in China, but comprehensive and up-to-date assessments of its burden and temporal patterns remain limited. This study aimed to systematically evaluate the current burden, temporal trends, and future projections of BC in China using data from the Global Burden of Disease Study 2023.

Data on BC incidence, mortality, disability-adjusted life years, and risk-attributable mortality in China from 1990 to 2023 were extracted from the Global Burden of Disease Study 2023. Temporal trends were assessed using Joinpoint regression, with a maximum of six joinpoints allowed, to estimate annual percentage changes and average annual percentage changes. Age-period-cohort models based on log-linear Poisson regression were used to examine age, period, and cohort effects. Bayesian age-period-cohort models were then applied to project incidence and mortality rates to 2030 while accounting for age-period-cohort effects and demographic changes.

From 1990 to 2023, crude incidence, mortality, and disability-adjusted life year rates increased, whereas age-standardized rates generally declined (average annual percentage changes = −0.32%, −1.31%, and −1.62%, respectively). Recent upward trends were nevertheless observed across all three indicators, particularly for incidence and mortality during 2020–2023 (annual percentage changes = 5.05% and 4.39%, respectively). Local drifts were negative in most age groups but approached or exceeded zero in the oldest groups. The incidence local drift was 0.35% (95% confidence interval [CI]: −0.07%, 0.78%) in the 85–89-year age group and 0.64% (95% CI: −0.31%, 1.61%) in the 90–94-year age group, whereas the corresponding mortality local drifts were −0.70% (95% CI: −0.97%, −0.43%) and −0.18% (95% CI: −0.72%, 0.36%), respectively. Compared with the reference period (2004–2008), the relative risks for incidence and mortality in 2019–2023 were 0.95 (95% CI: 0.91–0.98) and 0.75 (95% CI: 0.71–0.78), respectively. Compared with the reference cohort (1951–1956), earlier birth cohorts had elevated risks; in the 1901–1906 cohort, the relative risks were 1.13 (95% CI: 0.82, 1.57) for incidence and 2.10 (95% CI: 1.75, 2.52) for mortality. During 2024–2030, both crude incidence and crude mortality rates were projected to increase further.

Despite long-term declines in age-standardized rates, BC remains a substantial burden in China, and recent upward trends warrant attention. These findings support targeted primary prevention and risk-stratified early-detection strategies for high-risk populations.

Given that hemodynamic fluctuations acutely escalate the risk of devastating rebleeding and secondary neurological deficits in unsecured ruptured intracranial aneurysms, this study aimed to synthesize the best available evidence for blood pressure management in this population and to provide an evidence-based foundation for clinical nursing practice.

A systematic search was conducted in domestic and international databases and relevant websites for evidence pertaining to blood pressure management in patients with ruptured intracranial aneurysms, including clinical practices, guidelines, expert consensuses, evidence summaries, and systematic reviews/meta-analyses. The search period covered database inception up to June 2025. Two researchers independently performed literature quality assessments and evidence extraction, with particular attention to nursing-relevant evidence on hemodynamic monitoring, bedside assessment, complication prevention, fluid management, and follow-up coordination.

A total of 17 studies were included, comprising 11 guidelines, 4 expert consensuses, and 2 clinical decision entries. The synthesized evidence yielded 32 recommendations, structured into 6 core clinical domains: personnel and environmental configuration, individualized blood pressure targeting, precision hemodynamic monitoring, complication prevention, fluid therapy strategy, and longitudinal follow-up protocols. These recommendations further clarified key nursing responsibilities in triage coordination, continuous blood pressure surveillance, neurological assessment, delayed cerebral ischemia surveillance, fluid balance monitoring, and long-term follow-up.

Blood pressure management in patients with ruptured intracranial aneurysms should be individualized and multidisciplinary. The synthesized evidence highlights key nursing priorities in hemodynamic monitoring, delayed cerebral ischemia surveillance, fluid management, and follow-up coordination, and may inform standardized clinical nursing protocols.

Sepsis is a life-threatening syndrome associated with high morbidity and mortality, underscoring the urgent need for early diagnostic biomarkers and therapeutic targets. However, current diagnostic strategies remain insufficiently precise because of the complex immune dysregulation and immune microenvironment heterogeneity that characterize sepsis. This study aimed to identify reliable diagnostic biomarkers for sepsis and explore their immune regulatory mechanisms together with potential therapeutic relevance using multidimensional bioinformatic analyses.

Single-cell transcriptomic and bulk RNA sequencing datasets were integrated to screen candidate diagnostic genes for sepsis. Immune infiltration, co-expression network and pathway enrichment analyses were performed to explore immune regulatory mechanisms. Machine-learning approaches were used to validate the diagnostic signature, and molecular docking was conducted to predict candidate targeted compounds.

A total of 346 differentially expressed genes were identified and were mainly enriched in immune, coagulation, and metabolic pathways. CIBERSORT and single-cell analyses revealed increased neutrophils, monocytes, and γδ T cells and reduced CD8+ T cells and resting natural killer cells. Four diagnostic genes (S100A12, CD22, CSTA, and UPP1) were prioritized. The four-gene model showed robust external performance (area under the receiver operating characteristic curve = 0.860; sensitivity = 0.781; specificity = 0.780), and interpretability analysis highlighted UPP1 and S100A12 as dominant predictors. Molecular docking suggested potential interactions between these targets and anti-inflammatory compounds.

This integrative framework identifies four immune-related diagnostic genes for sepsis and links them to immune-cell remodeling and candidate therapeutic interactions, providing a basis for future mechanistic and clinical validation.