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.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Objective: To analyze the demographic evolution of China over the forthcoming decade (2026-2035) and to systematically evaluate its potential implications for voluntary blood donation practices and the equilibrium of clinical blood supply and demand. Methods: Leveraging comprehensive blood collection and utilization data from 2021 to 2025 at the national, provincial (Shandong), and municipal (Zibo) levels, we identified and examined critical determinants influencing blood management systems. The DeepSeek-V3.2 large language model was deployed to project future population age structures, and to generate quantitative estimates for hospitalization volumes, clinical blood requirements, available blood supply, and donation frequencies for the target years 2030 and 2035, thereby furnishing an evidence base for strategic planning and priority-setting. Results: DeepSeek-derived projections indicate that the proportion of China's population aged 60 years and above will surpass 27% (370 million/1 380 million) by 2030 and exceed 30% (400 million/1 350 million) by 2035, signaling a marked acceleration in population aging. This demographic shift is projected to reduce the proportion of the national population eligible to donate blood from 59.2% (835 million out of 1.41 billion) to 52% (710 million out of 1.36 billion), while the demand for blood is expected to increase by 87.8% relative to 2024, rising from 26.927 million units to 50.56 million units. Sustaining blood supply-demand balance will necessitate progressive annual increases in donation rates. Under prevailing policy frameworks, the required blood donation rate among the eligible population in Shandong Province would need to rise by 122.57% by 2035 [from 20.07‰ (1.1641 million person-times/58 million people) to 44.67‰ (2.189 million person-times/49 million people)] to potentially satisfy projected clinical requirements. Conclusion: By integrating DeepSeek-V3.2, AI predictive models, and blood donation incentive measures, it is possible to monitor population demographics, forecast clinical blood demand, manage blood supplies, and ensure the long-term sustainability of clinical blood availability. It must be acknowledged, however, that the present analysis is constrained by a limited data foundation (comprising only five annual observation points); accordingly, the projections should be interpreted as directional trend indicators or methodological illustrations rather than definitive quantitative forecasts.

Objective This study aimed to investigate the relationship between malnutrition and coronary inflammation,and explore the interaction and mediating effects of coronary inflammation in the association between malnutrition and major adverse cardiovascular events(MACE).Methods A retrospective analysis was conducted on 428 patients diagnosed with coronary heart disease at the Central China Fuwai Hospital from May 2018 to July 2022.All patients underwent coronary angiography(CAG)and coronary computed tomography angiography(CCTA).The TCB index(triglycerides×total cholesterol×body weight)and the coronary fat attenuation index around the proximal right coronary artery(RCA-FAI)were used to assess patients' nutritional state and the degree of coronary inflammation,respectively.The study endpoint was MACE.We used linear regression models to analyze the correlation between TCBI and RCA-FAI,cox regression models to assess the correlation of TCBI and RCA-FAI with MACE,and mediation analysis to investigate whether RCA-FAI mediated the relationship between TCBI and MACE.Results A total of 428 patients were included in the study.There was a negative correlation between RCA-FAI and TCBI(r=-0.224,P<0.001).After adjusting for potential confounders,each standard deviation decrease in the TCBI index was associated with a 2.20 HU increase in RCA-FAI(95%CI:-3.40～-1.19,P<0.001).During a mean follow-up period of 2.15 years,51 MACE occurred.MACE risk in the low TCBI/high RCA-FAI group was 6.58 times higher than that in the high TCBI/low RCA-FAI group(adjusted HR=6.580,95%CI:2.237～19.360,P=0.001),and the interaction between TCBI and RCA-FAI was identified.Mediation analysis revealed that RCA-FAI mediated 37.5%of the associations between TCBI and MACE.Conclusions In patients with coronary artery disease,malnutrition is associated with increased coronary inflammation.There is a significant interaction between malnutrition and coronary inflammation in the risk of MACE,and coronary inflammation partially mediates the relationship between malnutrition and MACE.The combination of the TCBI index and RCA-FAI can help identify patients at high cardiovascular risk.Improving malnutrition and controlling coronary inflammation may provide addi-tional benefits for patients with coronary artery disease.

OBJECTIVE: To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality. METHODS: A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters. RESULTS: The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights. CONCLUSION Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans ; Male ; Semen Analysis ; Adult ; Sperm Motility ; Hot Temperature/adverse effects* ; China ; Middle Aged ; Spermatozoa/physiology* ; Young Adult

AIM:To investigate how the stearoyl-CoA desaturase-1(SCD1)inhibitor CAY-10566 induc-es ferroptosis in oral squamous cell carcinoma(OS-CC)cells and enhances their sensitivity to cisplatin,with preliminary exploration of the underlying mo-lecular mechanisms.METHODS:Bioinformatics analysis and clinical specimens were used to evalu-ate SCD1 expression in OSCC tissues.OSCC cell lines(Cal27 and HSC3)were treated with CAY-10566,cis-platin,the ferroptosis inhibitor Ferrostatin-1(Fer-1),or their combinations.Cell viability was assessed using the CCK-8 assay,while reactive oxygen spe-cies(ROS)and lipid ROS levels were measured by flow cytometry.Malondialdehyde(MDA)and re-duced glutathione(GSH)levels were quantified us-ing commercial assay kits.Western blotting was performed to analyze the protein expression of glu-tathione peroxidase 4(GPX4),mechanistic target of rapamycin(mTOR),mature sterol regulatory ele-ment-binding protein 1(m-SREBP1),SCD1,and heme oxygenase 1(HMOX1).RESULTS:SCD1 was significantly overexpressed in OSCC tissues(P＜0.01).Combined treatment with CAY-10566 and cis-platin markedly reduced OSCC cell viability(P＜0.01)and increased lipid peroxidation(P＜0.001),while suppressing GPX4 expression-effects that were re-versed by Fer-1(P＜0.001).CAY-10566 upregulated HMOX1 expression and inhibited mTOR,m-SREBP1,and SCD1 protein levels(P＜0.001).CONCLUSION:CAY-10566 promotes ferroptosis and cisplatin sensi-tivity in OSCC cells,potentially through HMOX1 up-regulation and suppression of the mTOR/SREBP1/SCD1 axis.

Recent studies have shown that the physiological homeostasis of oral mucosal cells is regulated by the circadian clock.Dis-ruption or dysfunction of the circadian clock is closely associated with the development of oral squamous cell carcinoma(OSCC).Research based on the circadian clock offers a novel perspective on the pathogenesis and therapeutic strategies for OSCC.However,there is current-ly limited research on this topic,and people generally have insufficient understanding and recognition of the circadian clock.Given the complexity and challenges of circadian clock which is the fourth dimension of medical research,we organize relevant experts based on summarizing the current research results of circadian clock in the pathogenesis and precision diagnosis and treatment of OSCC,combining the scientific principles of the circadian clock's role and their long-term research experience,then summarizes and recommends the con-sensus opinions for the research of circadian clock in the pathogenesis mechanism and precision diagnosis and treatment of human OSCC,with the hope of providing guidance for the basic research and clinical application of circadian clock or circadian rhythm in the pathogene-sis mechanism and precision diagnosis and treatment of oral and maxillofacial squamous cell carcinoma.

Severe open tibiofibular fractures account for approximately 28.1% of all open fractures. Among them, Gustilo-Anderson type IIIB/C fractures present significant clinical challenges due to associated bone and soft tissue defects, high infection rates, and risk of amputation. Inadequate preoperative assessment may lead to suboptimal emergency surgical planning or intraoperative complications. Historically, external fixation was often preferred, but this approach has been associated with limitations such as restricted joint mobility, delayed bone union, joint stiffness, and disuse osteoporosis, resulting in poor functional recovery. With advancements of debridement techniques, standardization of antibiotic use, and popularization of early soft tissue coverage, early internal fixation has gained broader acceptance. Nevertheless, controversies persist regarding the choice of fixation method, timing of definitive fixation, use of reamed versus unreamed intramedullary nailing, and necessity of fibular fixation. To standardize the diagnosis and early management of severe open tibiofibular fractures, reduce complication rates, and improve functional recovery, the Society of Microsurgery of the Chinese Medical Association organized a panel of domestic experts to develop the Evidence-based guideline for the diagnosis and early fixation of severe open tibiofibular fractures ( version 2025), using evidence-based methodology. The guidelines provided 12 recommendations covering diagnostic and early fixation strategies of severe open tibiofibular fractures, aiming to provide clinicians with scientifically grounded and standardized guidance.

Objective This study aimed to investigate the relationship between malnutrition and coronary inflammation,and explore the interaction and mediating effects of coronary inflammation in the association between malnutrition and major adverse cardiovascular events(MACE).Methods A retrospective analysis was conducted on 428 patients diagnosed with coronary heart disease at the Central China Fuwai Hospital from May 2018 to July 2022.All patients underwent coronary angiography(CAG)and coronary computed tomography angiography(CCTA).The TCB index(triglycerides×total cholesterol×body weight)and the coronary fat attenuation index around the proximal right coronary artery(RCA-FAI)were used to assess patients' nutritional state and the degree of coronary inflammation,respectively.The study endpoint was MACE.We used linear regression models to analyze the correlation between TCBI and RCA-FAI,cox regression models to assess the correlation of TCBI and RCA-FAI with MACE,and mediation analysis to investigate whether RCA-FAI mediated the relationship between TCBI and MACE.Results A total of 428 patients were included in the study.There was a negative correlation between RCA-FAI and TCBI(r=-0.224,P<0.001).After adjusting for potential confounders,each standard deviation decrease in the TCBI index was associated with a 2.20 HU increase in RCA-FAI(95%CI:-3.40～-1.19,P<0.001).During a mean follow-up period of 2.15 years,51 MACE occurred.MACE risk in the low TCBI/high RCA-FAI group was 6.58 times higher than that in the high TCBI/low RCA-FAI group(adjusted HR=6.580,95%CI:2.237～19.360,P=0.001),and the interaction between TCBI and RCA-FAI was identified.Mediation analysis revealed that RCA-FAI mediated 37.5%of the associations between TCBI and MACE.Conclusions In patients with coronary artery disease,malnutrition is associated with increased coronary inflammation.There is a significant interaction between malnutrition and coronary inflammation in the risk of MACE,and coronary inflammation partially mediates the relationship between malnutrition and MACE.The combination of the TCBI index and RCA-FAI can help identify patients at high cardiovascular risk.Improving malnutrition and controlling coronary inflammation may provide addi-tional benefits for patients with coronary artery disease.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.