To investigate the changes in peripheral blood immune cells before and after the onset of septic shock in patients with malignant tumors, and to analyze the relationship between these immune cells and patient prognosis.

To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework.

Primary cilia—those solitary, microtubule-based projections extending from the surface of most eukaryotic cells—are increasingly recognized not merely as cellular appendages, but as sophisticated signaling hubs. By compartmentalizing specific receptors (e.g., GPCRs) and effectors within a microdomain guarded by the transition zone, these organelles function effectively as high-gain sensors capable of integrating mechanical stimuli with metabolic cues. In this review, we examine the pivotal role of primary cilia across the nervous, bone-vascular, and renal landscapes, arguing for a unified “mechano-metabolic coupling” framework. Here, conserved ciliary modules are not static; rather, they are differentially deployed to uphold systemic homeostasis. Within the central nervous system, we position primary cilia as upstream integrators. We highlight how hypothalamic neuronal cilia concentrate metabolic receptors, such as the melanocortin 4 receptor (MC4R), to interpret energy status. Moreover, the recent identification of serotonergic “axon-cilium synapses” points to a direct mode of neurotransmission, wherein 5-HT6 receptors drive nuclear signaling and chromatin accessibility to rapidly modulate gene expression. Through these mechanisms, central cilia modulate sympathetic tone and neuroendocrine output, effectively establishing the mechanical and metabolic “boundary conditions” under which peripheral organs operate. Dysfunction in these central hubs is linked to obesity and neurodevelopmental disorders, including Bardet-Biedl syndrome. In peripheral tissues, cilia serve as versatile mechanotransducers that convert physical forces into biochemical responses. Regarding the bone-vascular system, we discuss the translation of mechanical loads and fluid shear stress into structural remodeling. In osteoblasts, specifically, ciliary integrity is intrinsically linked to cholesterol and glucose metabolism, fine-tuning the balance between Hedgehog and Wnt/β-catenin signaling to govern osteogenesis and bone repair. A similar dynamic exists in the vasculature, where endothelial cilia sense shear stress to modulate KLF4 expression and endothelial-to-mesenchymal transition—processes critical for valvulogenesis and vascular remodeling. Meanwhile, in the kidney, tubular cilia act as terminal effectors within a “shear-cilia-metabolism” axis. Here, fluid shear stress engages ciliary signaling to trigger AMPK-mediated lipophagy and mitochondrial biogenesis, thereby securing the ATP supply required for solute transport. Notably, dysregulation of this axis leads to metabolic reprogramming and aberrant proliferation, acting as a hallmark driver of cystogenesis in polycystic kidney disease (PKD). Crucially, this review attempts to dissect the often-conflated logic of cross-system integration by distinguishing 3 non-equivalent pathways: direct communication via ciliary extracellular vesicles, though this remains largely hypothetical in long-range signaling; “physiology-mediated cascades”, where ciliary dysfunction in a single organ—such as the kidney—precipitates systemic pathology through hemodynamic and metabolic shifts (e.g., altered blood pressure, fluid volume, or uremic toxins); and “parallel molecular defects”, where shared genetic mutations in ubiquitous components like the IFT machinery cause simultaneous, independent failures across multiple organ systems. Building on these distinctions, we propose a nested-loop model that links central set-points with peripheral feedback via physiological variables. Furthermore, we construct a “causality-to-translation” roadmap that pinpoints structural repair (e.g., targeting IFT assembly) and metabolic rescue (e.g., AMPK activation or autophagy induction) as promising therapeutic avenues. Ultimately, this framework provides a theoretical basis for deciphering the shared pathological mechanisms of multisystem ciliopathies, offering a strategic guide for the development of targeted interventions that go beyond symptomatic treatment.

Objective: To explore the impact of different blood donation scenarios on population characteristics and blood donation behaviors, and to provide a basis for precise blood donation recruitment. Methods: Eligible voluntary blood donors with complete records from four scenarios in Xi'an: medical institutions, cultural tourism SITES, commercial superstores, and blood centers. After a preliminary analysis of overall donor characteristics across the four scenarios, three core subgroups were defined based on scenarios and donor population differences: the medical subgroup (aged 30-39 years), the blood center subgroup (aged 30-39 years), and the cultural tourism and commercial superstore subgroup (aged 18-29 years). Baseline characteristics, blood donation behaviors, and blood test results were compared among the subgroups. Results: The blood donors in all four scenarios were mainly male, but the proportion of female donors in the medical scenario was the highest (26.4%, 8 878/33 634). In terms of age distribution, the cultural tourism and commercial superstore scenarios were dominated by donors aged 18-29, while the blood center and medical scenarios were dominated by those aged 30-39, with the highest proportion of donors over 40 in the medical scenario. The occupational and educational composition of blood donors in the blood center scenario spanned a wide range, exhibiting a clear bipolar distribution. Significant differences were observed in baseline characteristics, blood donation behaviors, and blood test results among the three core subgroups (P<0.001). The medical subgroup was mainly composed of enterprise/industrial workers and married individuals, with high proportions of first-time blood donors, and the highest unqualified rate of infectious indicators (2.0%, 274/13 509). The cultural tourism and commercial superstore subgroup was mainly unmarried and students, featured high proportions of large-volume donations and evening donations, and had a relatively high unqualified rate for ALT (0.4%, 130/31 443). The blood center subgroup had a complex population structure, a high proportion of repeat blood donors (45.3%, 6449/14 225), and moderate results in all test indicators. Conclusion: There is an inherent correlation between the attributes of blood donation scenarios, population characteristics, and blood donation behaviors. The differences among the three core subgroups provide a clear basis for precise scenario operation. By constructing transformation channels between different scenarios and optimizing scenario-specific strategies, the structure of blood donors can be improved, thereby supporting the sustainable development of voluntary blood donation.

Objective:To explore the efficacy and safety of combining targeted therapy and immunotherapy with standard chemotherapy in patients with advanced pancreatic cancer.Methods:This is a single-center retrospective cohort study. A total of 123 patients with advanced pancreatic cancer who received first-line systemic treatment at the Second Hospital of Hebei Medical University between January 2022 and December 2024 were retrospectively enrolled. There were 65 males and 58 females,with a mean age of (65.1±10.1) years (range:22 to 88 years). According to whether targeted therapy combined with immunotherapy was added to chemotherapy,patients were divided into a triplet group ( n=46) and a standard chemotherapy group ( n=77). The primary endpoints were overall survival (OS) and progression-free survival (PFS); secondary endpoints included radiological efficacy indicators (objective response rate (ORR), disease control rate (DCR),clinical benefit rate,etc.) and treatment-related adverse events. Propensity score matching (PSM,caliper=0.2) was used to balance baseline characteristics between groups. Kaplan-Meier curves were used to estimate survival,and Cox regression models were applied to analyze factors influencing OS and PFS. Results:In the original cohort,the median OS was 11 months in the triplet group and 8 months in the chemotherapy group,with no statistically significant difference ( P=0.056). The median PFS was 5 months in the triplet group and 3 months in the chemotherapy group,also without statistical significance ( P>0.05). Multivariate Cox regression analysis indicated that the triplet regimen was an independent prognostic factor for both OS and PFS ( P<0.05). After PSM,baseline balance between groups was good. The median OS was 10.0 months in the triplet group and 7.0 months in the chemotherapy group, with no significant difference ( P=0.094). In terms of efficacy, the ORR was 26.1% (12/46) in the triplet group versus 7.8% (6/77) in the chemotherapy group,with a statistically significant difference ( χ2=6.320, P=0.012). The DCR was 54.3% (25/46) in the triplet group and 33.8% (26/77) in the chemotherapy group,also statistically significant ( χ2=4.214, P=0.037). The incidence of adverse events was similar between groups,mostly grade 1 to 2. Conclusions:The triplet regimen of chemotherapy,targeted therapy,and immunotherapy shows potential in improving efficacy and prolonging survival with acceptable safety in patients with advanced pancreatic cancer. However, its definitive benefits require further investigation.

Objective:To explore the efficacy and safety of combining targeted therapy and immunotherapy with standard chemotherapy in patients with advanced pancreatic cancer.Methods:This is a single-center retrospective cohort study. A total of 123 patients with advanced pancreatic cancer who received first-line systemic treatment at the Second Hospital of Hebei Medical University between January 2022 and December 2024 were retrospectively enrolled. There were 65 males and 58 females,with a mean age of (65.1±10.1) years (range:22 to 88 years). According to whether targeted therapy combined with immunotherapy was added to chemotherapy,patients were divided into a triplet group ( n=46) and a standard chemotherapy group ( n=77). The primary endpoints were overall survival (OS) and progression-free survival (PFS); secondary endpoints included radiological efficacy indicators (objective response rate (ORR), disease control rate (DCR),clinical benefit rate,etc.) and treatment-related adverse events. Propensity score matching (PSM,caliper=0.2) was used to balance baseline characteristics between groups. Kaplan-Meier curves were used to estimate survival,and Cox regression models were applied to analyze factors influencing OS and PFS. Results:In the original cohort,the median OS was 11 months in the triplet group and 8 months in the chemotherapy group,with no statistically significant difference ( P=0.056). The median PFS was 5 months in the triplet group and 3 months in the chemotherapy group,also without statistical significance ( P>0.05). Multivariate Cox regression analysis indicated that the triplet regimen was an independent prognostic factor for both OS and PFS ( P<0.05). After PSM,baseline balance between groups was good. The median OS was 10.0 months in the triplet group and 7.0 months in the chemotherapy group, with no significant difference ( P=0.094). In terms of efficacy, the ORR was 26.1% (12/46) in the triplet group versus 7.8% (6/77) in the chemotherapy group,with a statistically significant difference ( χ2=6.320, P=0.012). The DCR was 54.3% (25/46) in the triplet group and 33.8% (26/77) in the chemotherapy group,also statistically significant ( χ2=4.214, P=0.037). The incidence of adverse events was similar between groups,mostly grade 1 to 2. Conclusions:The triplet regimen of chemotherapy,targeted therapy,and immunotherapy shows potential in improving efficacy and prolonging survival with acceptable safety in patients with advanced pancreatic cancer. However, its definitive benefits require further investigation.

OBJECTIVE To further standardize the technical operations and management processes throughout therapeutic drug monitoring （TDM）， clarify the clinical value of TDM implementation， improve the scientific validity and reliability of monitoring results， and provide a solid reference basis for the formulation and optimization of clinical individualized precision dosing regimens. METHODS The Guidelines for the Management of Therapeutic Drug Monitoring were formulated in accordance with the latest definition of guidelines by the Institute of Medicine of the National Academies and the standard guideline development methodology of the World Health Organization， and in compliance with the requirements of the appraisal of guidelines for research and evaluation. A modified Delphi method was adopted to establish the research question system； evidence-based medicine research methods were applied to systematically search multiple databases to screen the latest and most comprehensive evidence. Evidence was graded and evaluated based on the evidence grading system of the Chinese Evidence-Based Medicine Center， and the grading criteria for recommendation strength from the Oxford Centre for Evidence-Based Medicine were used to determine the recommendation strength. The recommendation opinions were formed through multidisciplinary expert consensus. RESULTS The Guidelines for the Management of Therapeutic Drug Monitoring cover four core modules， including TDM application indications， technical procedures， result interpretation and clinical application， and quality control， involving 18 primary research questions， 34 secondary research questions， and yield 82 recommendations. CONCLUSIONS The guidelines systematically standardize the key technical links and management requirements of the whole TDM process， provide scientific and operable standardized tools， help improve the standardization level of TDM work， promote the translation of monitoring results into clinical decision-making， and provide strong support for precision personalized medicine and ensuring the safety and rationality of medication use.

Objective: To systematically compare the types and contents of volatile organic compounds (VOCs) in purplish-brown and yellow-brown Ziziphi Spinosae Semen, and to provide a scientific basis for their rapid identification and quality evaluation.
Methods: Headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) was employed to determine the VOCs in two colored samples. GC-IMS spectra and fingerprint profiles were established, and chemometric methods including principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied to visualize the differences in volatile components.
Results: A total of 44 VOCs were identified, including 1 aldehyde, 9 esters, 10 ketones, 2 enals, 14 alcohols, 3 acids, 2 furans, 1 disulfide, and 2 hydrocarbons. Alcohols and esters were the main volatile components. The fingerprint profiles showed high consistency within groups but significant differences between groups. Both PCA and PLS-DA effectively distinguished the two sample types. Compounds such as pentanol, methyl butyrate, 2-ethylfuran, 2-hexanol, and 2-methylpropenal were identified as key markers for differentiation.
Conclusion: HS-GC-IMS combined with chemometrics accurately distinguishes the volatile compounds of Ziziphi Spinosae Semen with different colors. This method is rapid, sensitive, and suitable for quality control and rapid authentication of Ziziphi Spinosae Semen.

ObjectiveAutoimmune thyroiditis （AIT） is a complex and immune-mediated disorder， with no established treatment protocol. Both Western and traditional Chinese medicine （TCM） focus on the pathogenesis and treatment of AIT. This study evaluated the clinical consistency of existing AIT animal models based on the diagnostic criteria of both Western and TCM， using a novel evaluation method. Additionally， it proposed recommendations and future prospects for improving these models. MethodsA comprehensive literature review was conducted on existing AIT animal models， using databases and the diagnostic criteria of both Western and TCM. Core and accompanying symptoms of these models were scored based on the diagnostic criteria of both Western and TCM， and clinical consistency was assessed. ResultsMice are the primary experimental animals used in AIT modeling. Modeling methods include vaccine immunization， iodine induction， heterologous thyroid antigen immunization， and a combination of high iodine water and antigen immunization. The average consistency of clinical syndromes based on TCM and Western medicine is 40%， 60%， 54%， and 63%， with the highest consistency observed in the combined high iodine water and antigen immunization model. Pathological models based on TCM are less common， with the liver-stagnation-spleen-deficiency rat model showing high clinical consistency. While most models are designed according to Western medical theory， meeting the surface and structural effectiveness criteria of Western medicine. However， there is a lack of fine-tuning and clear differentiation of TCM syndromes. ConclusionCurrent AIT syndrome-disease combination animal models primarily reflect the pathological features of Western medicine， with limited integration of TCM syndromes. Future research should aim to combine the syndrome characteristics of TCM with the pathological features of Western medicine， creating multi-factor and dynamic syndrome-disease models. Such models would better facilitate an experimental platform that conforms to the theories of TCM， providing more comprehensive support and guidance for the pathogenesis and treatment strategies of AIT.

Brain metastases are the most common intracranial tumors, and their incidence is increasing with the improvement of systemic treatments and survival rates. Optimal treatment usually requires a multidisciplinary approach, including radiotherapy, surgical resection, chemotherapy, targeted therapy, and immunotherapy. Stereotactic radiotherapy, compared to whole-brain radiotherapy, offers improved local control rates and reduced risk of neurocognitive impairment, and has become a new standard option for the treatment of brain metastases. Additionally, the widespread use of targeted and immune therapies in brain metastases has significantly improved the survival of some patients. This article reviews and integrates recent literature on the treatment of brain metastases and analyzes the role of stereotactic radiotherapy in comprehensive treatment, aiming to provide a reference for the selection of clinical treatment plans.