ObjectiveThe malaria parasites remodel the host erythrocyte structure by exporting parasite proteins that interact with the membrane skeleton proteins of red blood cells (RBCs), facilitating their intracellular survival and pathogenicity. Skeleton-binding protein 1 (SBP1) is a conserved exported protein across Plasmodium species. In Plasmodium falciparum, SBP1 has been reported to interact with erythrocyte membrane skeleton proteins 4.1R and spectrin, while its contribution to erythrocyte remodeling and parasite virulence in Plasmodium berghei (Pb) remains unclear. This study aims to determine whether PbSBP1 associates with the host cytoskeletal protein 4.1R and to investigate its role in the remodeling of host RBCs and the pathogenicity of Plasmodium berghei. MethodsIn Plasmodium berghei, the relationship between PbSBP1 and the erythrocyte cytoskeletal protein 4.1R was examined using co-immunoprecipitation. A Pbsbp1 gene knockout mutant of Plasmodium berghei (Pbsbp1∆) was generated based on the principle of double crossover homologous recombination. The deformability of erythrocytes infected with Pbsbp1∆ parasites was assessed using microfluidic methods. Microchannels with an array of cylindrical pillars were used to detect modifications in infected RBC deformability. The infected RBCs were squashed between the rows and recovered between the columns and the transit velocity (μm/s) of infected RBCs travelling through the microchannel was recorded. The component of the erythrocyte membrane skeleton junctional complex, tropomodulin (TMOD), was fluorescently labeled, and the cytoskeletal network of infected erythrocytes was imaged using super-resolution stochastic optical reconstruction microscopy (STORM) to analyze ultrastructural changes in the cytoskeleton of wild-type (WT) and Pbsbp1∆-infected erythrocytes. Actin-based junctional complexes were displayed as individual clusters by the labeled TMOD in the STORM images, and the cluster densities and distances between adjacent clusters of infected RBCs were calculated. Additionally, rodent malaria models (BALB/c mice) and experimental cerebral malaria models (C57BL/6 mice) were employed to monitor the growth of Pbsbp1∆ and WT parasites during the intraerythrocytic stage and their capacity to induce cerebral malaria in mice. ResultsPbSBP1 may participate in the remodeling of infected erythrocytes through direct or indirect interaction with the erythrocyte cytoskeletal protein 4.1R. Microfluidic assays revealed that the deformability of erythrocytes infected with Pbsbp1∆ parasites was significantly enhanced compared to those infected with WT parasites. STORM imaging further demonstrated that the ultrastructure of the erythrocyte cytoskeleton in Pbsbp1∆-infected cells was altered relative to that in WT-infected erythrocytes. The distances between nearest neighbors of clusters had a tendency to increase while the cluster densities were decreased in Pbsbp1∆-infected RBCs compared to WT-infected RBCs. Subsequent phenotypic analysis indicated that the growth rate of Pbsbp1∆ parasites during the intraerythrocytic stage was significantly slower than that of WT parasites, and their ability to induce cerebral malaria in mice was also attenuated. These findings suggest that PbSBP1 is involved in the remodeling of the erythrocyte membrane skeleton, likely through its direct or indirect interaction with protein 4.1R, thereby regulating the deformability of infected erythrocytes and influencing the pathogenicity of the blood-stage parasites. ConclusionThis study establishes a role for PbSBP1 in host erythrocyte remodeling and parasite virulence, providing new research strategies for the prevention and treatment of malaria.

ObjectiveTo establish and evaluate a hyperuricemia （HUA） mouse model with the damp-turbidity internal accumulation syndrome. MethodsThirty-six C57BL/6J mice were randomly divided into control group， chemically induced model group （Model）， and model combined with high-fat and fatigue group （Model+HF）. Twenty-four uricase gene knockout （UOX^-/-） mice were randomly divided into UOX^-/- group and UOX^-/-+HF group， with 12 mice in each group. The Model group and the Model+HF group established the HUA model by intragastric administration of potassium oxyazinate combined with adenine. The Model+HF group and the UOX^-/-+HF group adopted a high-fat diet combined with weight-bearing exhaustive swimming to establish the HUA model with the damp-turbidity internal accumulation syndrome. On day 1， 7， 14， 21， and 28 after modeling， the damp-turbidity internal accumulation syndrome score of each group was evaluated. On day 1 and day 28， a weight-bearing swimming exhaustion test was performed， and the exhaustive swimming time was recorded. On day 28， liver and kidney indexes were calculated， and hematoxylin-eosin （HE） staining was used to observe histopathological changes in liver and kidney tissues. Serum levels of uric acid （UA）， xanthine dehydrogenase （XDH）， xanthine oxidase （XOD） and urea nitrogen （BUN） were detected through biochemical assays. ELISA was used to detect serum levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）. Immunohistochemistry was used to detect the protein expression of organic anion transporter 1 （OAT1） and glucose transporter 9 （GLUT9） in renal tissues. Quantitative real-time PCR （qRT-PCR） was used to detect the mRNA expressions of adenosine triphosphate binding transporter G2 （ABCG2）， hypoxia-inducible factor-1α （HIF-1α）， urate anion transporter 1 （URAT1）， and GLUT9 in renal tissues. ResultsOn day 14 of modeling， the damp-turbidity internal accumulation syndrome scores of mice in the Model+HF group and the UOX^-/-+HF group were elevated compared with the control group（P＜0.05）； on day 28， the scores significantly increased， and the exhaustive swimming time was shortened （P＜0.01）， indicating successful establishment of the damp-turbidity internal accumulation syndrome model. Compared with the control group， all other groups exhibited increased kidney index， serum levels of UA， XDH， XOD， BUN， TNF-α， and IL-1β， elevated renal mRNA expression of HIF-1α， URAT1， OAT1， and GLUT9， and decreased renal ABCG2 mRNA expression （P＜0.01 or P＜0.05）. Significant pathological damage in the kidney was observed in the Model+HF group and the UOX^-/-+HF group compared to the Model group and the UOX^-/- group， with decreased serum UA and increased BUN and TNF-α levels （P＜0.05 or P＜0.01）， as well as increased expression of OAT1 and GLUT9 in the renal tissue. ConclusionBoth chemical induction and gene knockout， combined with a high-fat diet and weight-bearing exhaustive swimming， can successfully establish mouse models of HUA with damp-turbidity internal accumulation syndrome. Chemical induction is simple to operate and cost-effective， suitable for short-term drug screening， while UOX gene knockout induces spontaneous elevation of serum uric acid levels without drug administration， which may better mimick human metabolic characteristics.

ObjectiveTo establish and evaluate a hyperuricemia （HUA） mouse model with the damp-turbidity internal accumulation syndrome. MethodsThirty-six C57BL/6J mice were randomly divided into control group， chemically induced model group （Model）， and model combined with high-fat and fatigue group （Model+HF）. Twenty-four uricase gene knockout （UOX^-/-） mice were randomly divided into UOX^-/- group and UOX^-/-+HF group， with 12 mice in each group. The Model group and the Model+HF group established the HUA model by intragastric administration of potassium oxyazinate combined with adenine. The Model+HF group and the UOX^-/-+HF group adopted a high-fat diet combined with weight-bearing exhaustive swimming to establish the HUA model with the damp-turbidity internal accumulation syndrome. On day 1， 7， 14， 21， and 28 after modeling， the damp-turbidity internal accumulation syndrome score of each group was evaluated. On day 1 and day 28， a weight-bearing swimming exhaustion test was performed， and the exhaustive swimming time was recorded. On day 28， liver and kidney indexes were calculated， and hematoxylin-eosin （HE） staining was used to observe histopathological changes in liver and kidney tissues. Serum levels of uric acid （UA）， xanthine dehydrogenase （XDH）， xanthine oxidase （XOD） and urea nitrogen （BUN） were detected through biochemical assays. ELISA was used to detect serum levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）. Immunohistochemistry was used to detect the protein expression of organic anion transporter 1 （OAT1） and glucose transporter 9 （GLUT9） in renal tissues. Quantitative real-time PCR （qRT-PCR） was used to detect the mRNA expressions of adenosine triphosphate binding transporter G2 （ABCG2）， hypoxia-inducible factor-1α （HIF-1α）， urate anion transporter 1 （URAT1）， and GLUT9 in renal tissues. ResultsOn day 14 of modeling， the damp-turbidity internal accumulation syndrome scores of mice in the Model+HF group and the UOX^-/-+HF group were elevated compared with the control group（P＜0.05）； on day 28， the scores significantly increased， and the exhaustive swimming time was shortened （P＜0.01）， indicating successful establishment of the damp-turbidity internal accumulation syndrome model. Compared with the control group， all other groups exhibited increased kidney index， serum levels of UA， XDH， XOD， BUN， TNF-α， and IL-1β， elevated renal mRNA expression of HIF-1α， URAT1， OAT1， and GLUT9， and decreased renal ABCG2 mRNA expression （P＜0.01 or P＜0.05）. Significant pathological damage in the kidney was observed in the Model+HF group and the UOX^-/-+HF group compared to the Model group and the UOX^-/- group， with decreased serum UA and increased BUN and TNF-α levels （P＜0.05 or P＜0.01）， as well as increased expression of OAT1 and GLUT9 in the renal tissue. ConclusionBoth chemical induction and gene knockout， combined with a high-fat diet and weight-bearing exhaustive swimming， can successfully establish mouse models of HUA with damp-turbidity internal accumulation syndrome. Chemical induction is simple to operate and cost-effective， suitable for short-term drug screening， while UOX gene knockout induces spontaneous elevation of serum uric acid levels without drug administration， which may better mimick human metabolic characteristics.

Digital medical insurance governance， as an important component of digital transformation， improves the efficiency of medical insurance services while facing complex ethical challenges. Taking stakeholder theory as the analytical framework， this paper explored the generative mechanisms， manifestations， and countermeasures of ethical issues in digital medical insurance governance. This study uncovered that accelerated technological iteration and lagging ethical and legal norms， as well as interest conflicts among multiple participants in governance， constituted the major causes of ethical issues. These issues specifically manifested as data privacy leakage， unfair algorithmic decision-making， widening digital divide， ambiguous accountability， and other aspects. To address these issues， this paper put forward systematic countermeasures， such as establishing a dynamic ethical and legal regulatory system， balancing the demands of stakeholders， strengthening technological ethical governance， narrowing the digital divide， and enhancing accountability mechanisms. Through the implementation of multi-dimensional governance strategies， it aimed to balance technological innovation and ethical constraints， advance the inclusiveness， fairness， and sustainable development of digital medical insurance， and provide theoretical reference and practical references for improving China’s digital medical insurance governance system.

Chrysophanol(Chr)and physcion(Phy)are primary active ingredients of a well-known traditional Chinese medicine namely rhubarb(Chinese name:Dahuang),and their glucuronides have been revealed as the dominant forms presenting in rats after oral administration.Either Chr or Phy has two glycosylation sites,resulting in a pair of positional isomers for glucuronides of either compound(CG1&CG2 and PG1&PG2).To confirmatively identify these glucuronides,energy-resolved mass spectrometry(ER-MS)was used to pursue the fragmentation trajectories of the targeted fragment ions,and the resultant breakdown graphs that were described by the optimal collision energy(OCE)were expected to exhibit the differences of glycosidic bond cleavage between the isomers.Quantum chemical calculation was thereafter conducted to produce the bond dissociation energy(BDE)of the glycosidic bonds.The isomers were unambiguously identified through applying the positive correlation rule between OCE and BDE.Fortunately,the glucuronides of Chr and Phy in vivo were observed through liver microsomes incubationin vitro.ER-MS was utilized to collect the Gaussian-shaped breakdown graphs in response to the neutral loss of 176 Da,and the absolute values of OCE were compared between positional isomers.The results revealed that CG1(-32.31 eV)>CG2(-31.61 eV),and nonetheless,PG1(-30.00 eV)Chr-8-GluA(-48.787 kJ/mol),and nonetheless,Phy-1-GluA(-48.672 kJ/mol)

OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology

Objective:To develop a nomogram based on the monocyte-to-lymphocyte ratio (MLR) for predicting the risk of aortic-related adverse events within 30 days in patients with acute uncomplicated type B aortic intramural hematoma.Methods:This single-center retrospective cohort study screened consecutive patients with acute uncomplicated type B aortic intramural hematoma treated at the Emergency and Cardiovascular Medicine Departments of the General Hospital of the Northern Theater Command from April 2018 to April 2024. Patients were divided into two groups based on the optimal MLR cut-off value for predicting aortic-related adverse events: low MLR and high MLR group. MLR was defined as the ratio of monocytes to lymphocytes. Aortic-related adverse events were defined as a composite of aortic-related death or aortic intramural hematoma progression (including aortic dissection and penetrating aortic ulcers) within 30 days. The receiver operating characteristic (ROC) curve identified the optimal MLR cut-off value. Multivariate logistic regression was used to identify independent predictors of aortic-related adverse events within 30 days, based on which nomogram models were constructed: the clinical characteristics model and the clinical characteristics-MLR model. The DeLong test was used to evaluate the diagnostic performance of different risk models. The additional predictive value of MLR was assessed using the net reclassification index (NRI) and integrated discrimination improvement (IDI).Results:A total of 332 patients were included, of whom 217 were male (65.4%), with an average age of (64.3±9.4) years. A total of 107 aortic-related adverse events occurred during the 30-day follow-up period. The optimal cut-off value for MLR was 0.529. There were 189 cases in the low MLR group (MLR<0.529) and 143 cases in the high MLR group (MLR≥0.529). The rate of aortic-related adverse events was higher in the high MLR group compared to the low MLR group (44.1% (63/143) vs. 23.3% (44/189), P<0.001), mainly due to a higher rate of progression to aortic dissection (9.8% (14/143) vs. 1.1% (2/189), P<0.001) and penetrating aortic ulcers (31.5% (45/143) vs. 20.6% (39/189), P=0.025). Multivariate analysis identified diabetes ( OR=0.25, 95% CI 0.08-0.78, P=0.017), anemia ( OR=3.45, 95% CI 1.28-9.27, P=0.014), maximum descending aorta diameter ( OR=1.08, 95% CI 1.02-1.15, P=0.007), ulcer-like projections ( OR=4.04, 95% CI 2.26-7.24, P<0.001), and MLR ( OR=6.61, 95% CI 2.50-17.46, P<0.001) as independent predictors of aortic-related adverse events during the 30-day follow-up period. The clinical characteristics model includes diabetes, anemia, ulcer-like projections and maximum diameter of the descending aorta, and the clinical characteristics-MLR model includes the above clinical characteristics and MLR. The results of the DeLong test showed that the clinical characteristic-MLR model demonstrated a higher area under the ROC curve compared to the clinical characteristic model alone (0.784 (95% CI 0.736-0.841) vs. 0.742 (95% CI 0.691-0.788), P=0.031). The continuous NRI was 0.461 (95% CI 0.237-0.685, P<0.001) and the IDI was 0.077 (95% CI 0.043-0.112, P<0.001), indicating that the inclusion of the MLR in the model significantly improved the predictive accuracy. Conclusion:The integration of MLR with other clinical characteristics improves the early identification of high-risk patients with acute uncomplicated type B aortic intramural hematoma, optimizing clinical decisions and improving patient outcomes.

Objective:To understand the feelings and experiences of patients with dizziness caused by cerebrovascular diseases, and to provide a reference basis for the development of nursing intervention measures.Methods:Semi-structured interviews were carried out from November 2024 to February 2025 by phenomenology method. The patients with dizziness caused by cerebrovascular diseases who were hospitalized in the First Affiliated Hospital of Zhengzhou University were selected by purposive sampling method. The interview data were analyzed by the Colaizzi 7-step analysis method to summarize and extract the themes.Results:Finally, 16 patients with dizziness caused by cerebrovascular diseases were interviewed, including 6 males and 10 females, aged 43 to 73 years. The feeling and experience of patients with dizziness caused by cerebrovascular diseases could be summarized into three themes: persistent physical symptoms (physiological function imbalance, the superposition of multiple symptoms); patients had cognitive biases (symptom risk cognitive bias, symptom knowledge cognitive bias, drug effect cognitive bias); patients' self-perceived burden was obvious(physical burden, emotional burden, and economic burden).Conclusions:The patients with dizziness caused by cerebrovascular diseases show multi-dimensional characteristics, and there are many burdens and needs in physiological, psychological and social aspects. We should pay attention to the symptom experience and psychological feelings of such patients, and give targeted health education and multi-dimensional social support.

Objective Advances in synthetic DNA technology have made it much easier to fake human DNA samples.There are literature reports that fake human DNA can be synthesized by different methods and implanted in the field to confuse the investigation or mislead the trial.Therefore,distinguishing authentic human DNA from synthetic DNA and performing individual identification has become a critical scientific challenge.Methods We define a novel composite genetic marker(methylation-microhaplotype)by combining CpG sites stably hypermethylated or hypomethylated in natural human DNA and nearby immediately adjacent microhaplotype sites.A total of 19 locis were obtained according to the screening criteria,and a composite detection system for methylation-microhaplotypes was established using MPS technology.Random volunteer DNA samples were extracted and synthetic DNA samples were prepared based on whole genome amplification techniques.Population DNA samples were analyzed to evaluate forensic parameters and methylation variability of the methylation-microhaplotype markers.Comparative analyses of human and synthetic DNA were conducted to assess the markers'ability to discriminate between the two and to detect/type both components in mixed mixed samples.Results The composite detection system composed of 19 locis demonstrated high individual identification ability,achieving a cumulative individual identification probability of 0.999 999 999 996 86.12 hypermethylated locis and 7 hypomethylated locis had relatively stable methylation levels in 57 human DNA samples.According to the allele methylation rate(Ram)value,the system can effectively identify natural and synthetic DNA samples.Meanwhile,for mixed DNA samples,the presence of human and synthetic DNA samples can be found and genotyped.Conclusion Methylation-microhaplotype genetic markers,which can discover human DNA and synthetic DNA and can detect the presence and genotyping of them from mixed samples,is a potential useful tool for forensic DNA analysis.

Objective To investigate the mechanism by which Yangmai Tongluo formula improves microcirculation disorders induced by high homocysteine(Hcy)levels via regulation of the acid sphingomyelinase(ASM)and endoplasmic reticulum(ER)stress pathways.Methods Fifty male C57BL/6J mice were divided randomly into a control group,Hcy model group,Yangmai Tongluo formula low-/high dose groups(5.3,10.4 g/kg,respectively),and a folic acid group(0.08 g/kg).Except for the control group,microcirculation disorders were induced in all mice using drinking water containing 1.8 g/L Hcy for 6 weeks.After modeling for 2 weeks,mice were administered the corresponding treatments by gavage for 4 weeks.Serum Hey concentrations and the blood perfusion volume of the lower extremity microvessels were measured.Protein expression levels of zonula occludens ZO-1,ZO-2,intercellular adhesion molecule-1(ICAM-1),vascular cell adhesion molecule-1(VCAM-1),ASM,glucose-regulated protein 78(GRP78),and C/EBP homologous protein(CHOP)in the cardiac microvascular endothelium were analyzed using immunofluorescence.Results Serum Hcy levels were significantly increased in the Hcy model group compared with the control group(P＜0.05).Yangmai Tongluo formula did not significantly reduce Hey levels compared with the Hey model group,but blood perfusion in the lower extremities was significantly increased(P＜0.01)and expression levels of ZO-1 and ZO-2 in the cardiac microvascular endothelium were restored(P＜0.001)in the Yangmai Tongluo formula high dose group.It also inhibited the expression of ICAM-1,VCAM-1,ASM,GRP78,and CHOP(P＜0.05),with comparable effects to folic acid.Conclusions Yangmai Tongluo formula improves Hcy-induced microcirculation disorders and endothelial dysfunction by inhibiting ASM activity and alleviating ER stress,via a mechanism closely related to the regulation of endothelial inflammation and barrier stability.These result provide experimental evidence to support the use of traditional Chinese medicine to treat microvascular diseases.