Red blood cells (RBCs), as a key component determining the hemorheological properties, play a significant role in the dynamic process of thrombosis by regulating blood viscosity, shear stress distribution, and complex molecular mechanisms (including promoting platelet activation, mediating interactions with vascular endothelial cells, and releasing procoagulant factors). This article systematically elucidates the multidimensional mechanisms of RBCs in hemostasis and thrombus formation by integrating perspectives from hemorheology and molecular biology. It focuses on analyzing how their physical properties and molecular activities dynamically interact and mutually regulate under hemodynamic conditions, collectively forming a complex thrombus formation network. This provides a comprehensive understanding of the pathophysiology of RBCs involvement in coagulation and offers references for developing bleeding and thrombotic risk assessment strategies, as well as precision diagnosis and treatment approaches that incorporate RBCs functions.

Metabolic associated fatty liver disease （MAFLD） is a common chronic liver disease worldwide， and timely and precise intervention can delay disease progression and significantly reduce the risk of serious complications such as liver fibrosis， liver cirrhosis， and liver cancer. Although traditional liver biopsy combined with metabolic markers is the gold standard， it may cause complications such as pain and bleeding as an invasive examination， which has promoted scientific research to shift its focus to the construction of noninvasive assessment systems. In recent years， noninvasive diagnostic technologies based on multi-dimensional detection strategies have been continuously updated， including serological models， imaging techniques， and clinical algorithms. This article systematically reviews the screening methods for MAFLD during the fibrotic stages F1—F3， especially deep learning models based on artificial intelligence， in order to provide ideas for the early screening of MAFLD， as well as a scientific reference for optimizing disease management strategies.

ObjectiveTo define hyaluronidase treatment parameters that efficiently remove the extracellular matrix from zygotes without impairing embryo development， thereby providing a basis for standardized assisted reproductive procedures. MethodsMouse zygotes were treated with hyaluronidase at 40， 80， or 120 IU/mL for 60， 90， or 120 s. Following treatment， embryos were cultured in Krebs-ringer bicarbonate-based solution for organismal media （KSOM） medium， and blastocyst formation was monitored using a Time-lapse imaging system. ResultsA concentration of 40 IU/mL was insufficient for effective matrix removal， whereas 120 IU/mL markedly reduced blastocyst formation. In contrast， 80 IU/mL achieved efficient matrix clearance with minimal impact on development. Blastocyst rates were comparable between the 60 s and 90 s groups， with a slight advantage for the 60 s under the experimental conditions. ConclusionHyaluronidase treatment at 80 IU/mL for 60 s represents optimal processing conditions for mouse zygotes. These findings provide experimental basis and standardized reference for embryo handling in assisted reproductive technologies.

Loop-mediated isothermal amplification(LAMP)is a newin vitronucleic acid amplification technique,which has been widely used in rapid detection of pathogenic bacteria,with advantages of high efficiency,simple operation and low cost.Microfluidic chip technique is a kind of miniaturized and integrated analytical technology,which integrates automation and high throughput,and can effectively avoid sample cross-contamination and has the advantages of high sample utilization rate and high cost-effectivenes.LAMP combined with microfluidic chip can detect multiple samples of the same pathogen at the same time or single samples of different pathogens at the same time,providing a new method for the rapid,field detection of pathogens.In this paper,the research progresses of LAMP microfluidic chip and its application in rapid detection of pathogenic bacteria in recent years were reviewed,and the future prospect was discussed.

Objective:To investigate the role and potential mechanism of m 6A demethylase ALKBH5 in esophageal squamous cell carcinoma (ESCC) . Methods:Real time fluorogenic quantitative PCR and Western blotting were used to detect ALKBH5 expression in normal esophageal epithelial cells (Het-1A) and ESCC cell lines (Eca109, KYSE30, KYSE150, KYSE410). Transient cell lines with overexpression/knockdown of ALKBH5 (siRNA transfection was divided into si-ALKBH5-1 group and si-ALKBH5-2 group) and control cell lines were constructed. The effects of ALKBH5 on ESCC cell proliferation, migration and apoptosis were studied by MTT assay, cell scratch assay and cell apoptosis assay respectively. The differentially expressed gene was screened by the intersection of RNA sequencing (RNA-seq) and methylated RNA immunoprecipitation sequencing (MeRIP-seq) techniques, and the effect of ALKBH5 on the gene expression was detected by RT-qPCR.Results:Real time fluorogenic quantitative PCR results showed that, the relative expression levels of ALKBH5 RNA in Het-1A, Eca109, KYSE30, KYSE150 and KYSE410 were 1.03±0.28, 0.46±0.02, 0.23±0.10, 0.04±0.02, 0.05±0.00, respectively, with a statistically significant difference ( F=444.60, P<0.001). Western blotting showed that, the relative expression levels of ALKBH5 protein in Het-1A, Eca109, KYSE30, KYSE150 and KYSE410 were 1.14±0.03, 0.88±0.04, 0.66±0.01, 0.69±0.01, 0.95±0.01, respectively, with a statistically significant difference ( F=139.90, P<0.001). MTT test showed that the absorbance ( A) values of KYSE30 control group and ALKBH5 overexpression group were 0.86±0.01 and 1.25±0.01 after 72 hours, respectively, with a statistically significant difference ( t=46.93, P<0.001). The A values of KYSE150 control group and ALKBH5 overexpression group were 1.00±0.03 and 1.43±0.02 after 72 hours, respectively, with a statistically significant difference ( t=16.80, P<0.001). The A values of KYSE30 control group, si-ALKBH5-1 group and si-ALKBH5-2 group were 0.98±0.01, 0.85±0.02 and 0.80±0.09 after 96 hours, respectively, with a statistically significant difference ( F=72.97, P<0.001). The A values of KYSE30 control group were higher than those of si-ALKBH5-1 and si-ALKBH5-2 groups (both P<0.001). The A values of KYSE410 control group, si-ALKBH5-1 group and si-ALKBH5-2 group were 1.28±0.02, 1.15±0.02 and 1.08±0.05 after 72 hours, respectively, with a statistically significant difference ( F=16.97, P=0.003). The A values in KYSE410 control group were higher than those in si-ALKBH5-1 group and si-ALKBH5-2 group ( P=0.020; P=0.003). The cell scratch test showed that 48 hours after scratch, the migration rates of KYSE30 cells in control group and ALKBH5 overexpression group were (27.39±0.54) % and (48.89±5.12) %, respectively, with a statistically significant difference ( t=5.90, P=0.004). The migration rates of KYSE150 cells in control group and ALKBH5 overexpression group were (39.67±0.43) % and (62.20±0.60) %, respectively, with a statistically significant difference ( t=43.15, P<0.001). The migration rates of KYSE30 cells in control group, si-ALKBH5-1 group and si-ALKBH5-2 group were (25.08±1.86) %, (18.75±1.59) % and (7.67±0.52) %, respectively, with a statistically significant difference ( F=74.28, P<0.001). The migration rates of KYSE30 cells in control group were higher than those of si-ALKBH5-1 group and si-ALKBH5-2 group ( P=0.010; P<0.001). The migration rates of KYSE410 cells in control group and si-ALKBH5-1 group, si-ALKBH5-2 group were (38.70±0.41) %, (28.27±1.01) % and (19.40±0.47) %, respectively, with a statistically significant difference ( F=400.20, P<0.001). The migration rates of KYSE410 cells in control group were higher than those of si-ALKBH5-1 group and si-ALKBH5-2 group (both P<0.001). Apoptosis test showed that the apoptosis rates of KYSE30 cells in control group and ALKBH5 overexpression group were (9.59±0.88) % and (4.81±0.89) %, respectively, with a statistically significant difference ( t=6.23, P=0.006). The apoptosis rates of KYSE150 cells in control group and ALKBH5 overexpression group were (8.36±0.09) % and (6.42±0.19) %, respectively, with a statistically significant difference ( t=12.90, P<0.001). The apoptosis rates of KYSE30 cells in control group, si-ALKBH5-1 group and si-ALKBH5-2 group were (4.31±0.19) %, (5.72±0.30) % and (8.94±0.71) %, respectively, with a statistically significant difference ( F=53.46, P<0.001). The apoptosis rates in KYSE30 cells in control group were lower than those in si-ALKBH5-1 group and si-ALKBH5-2 group ( P=0.049; P<0.001). The apoptosis rates of KYSE410 control group, si-ALKBH5-1 group and si-ALKBH5-2 group were (4.45±0.36) %, (5.40±0.11) % and (6.64±0.15) %, respectively, with a statistically significant difference ( F=43.36, P<0.001). The apoptosis rates in KYSE410 cells in control group were lower than those in si-ALKBH5-1 group and si-ALKBH5-2 group ( P=0.016; P<0.001). The differentially expressed gene IGF2BP3 was screened by the intersection of RNA-seq and MeRIP-seq techniques, and the RT-qPCR results showed that, the relative expression levels of IGF2BP3 in KYSE30 were 1.01±0.10 and 1.41±0.10 in control group and ALKBH5 overexpression group, respectively, with a statistically significant difference ( t=4.06, P=0.015). The relative expression levels of IGF2BP3 in KYSE150 were 1.00±0.10 and 1.94±0.24 in control group and ALKBH5 overexpression group, respectively, with a statistically significant difference ( t=5.08, P=0.007). The relative expression levels of IGF2BP3 in KYSE410 were 1.01±0.14, 0.67±0.04 and 0.41±0.04 in control group, si-ALKBH5-1 group and si-ALKBH5-2 group, respectively, with a statistically significant difference ( F=24.36, P=0.001). The relative expression levels of IGF2BP3 in KYSE410 control group were higher than those in si-ALKBH5-1 group and si-ALKBH5-2 group ( P=0.017; P=0.001) . Conclusions:ALKBH5 is underexpressed in ESCC cell lines, but the overexpression of ALKBH5 can promote the proliferation and migration of ESCC cells and inhibit cell apoptosis, which may be related to some negative feedback regulation mechanism. IGF2BP3 may be the downstream target of ALKBH5.

Objective : To investigate the relationship between lower limb alignment and knee functional gait after total knee arthroplasty (TKA) for varus knee deformity. Methods: A total of 94 patients with knee osteoarthritis and varus deformity underwent mechanically aligned TKA. The knee society score ( KSS) , hip⁃knee⁃ankle angle (HKA) , medial proximal tibial angle ( mMPTA) , and gait parameters ( step length , gait speed , cadence , thigh jerk acceleration , and thigh swing work) were assessed preoperatively and one month postoperatively. The correlation between KSS scores and changes in lower limb alignment was also analyzed. Results: The KSS clinical score of the operated knee significantly improved from 39. 19 ± 9. 55 preoperatively to 73. 01 ± 6. 90 postoperatively (P <0. 001) . The KSS functional score increased from 41. 12 ± 10. 66 to 56. 33 ± 7. 41(P < 0. 001) . Postoperative gait analysis revealed significant improvements in step length , gait speed , cadence , and thigh swing work ( P <0. 001) , while thigh jerk acceleration showed no significant change (P = 0. 525) . The HKA angle of the affected limb increased from 170. 61 ± 4. 39 preoperatively to 177. 30 ± 3. 49 postoperatively ( P < 0. 001) . Similarly , the mMPTA angle increased from 83. 95 ± 3. 32 to 89. 15 ± 1. 94 (P < 0. 001) . Correlation analysis indicated that The KSS clinical score was positively correlated with HKA ( P < 0. 001) and mMPTA ( P < 0. 05 ) of the lower limb force line. The KSS functional score was positively correlated with HKA (P < 0. 05) but not with mMPTA (P > 0. 05) . Conclusion In patients with severe knee osteoarthritis due to varus deformity , TKA significantly alleviates pain and improves both clinical and functional KSS scores within one month postoperatively. Restoring lower limb mechanical alignment is positively associated with joint functional recovery and enhances gait performance.

Objective: To compare the transcriptomic profiles between three distinct metabolic dysfunction⁃associat⁃mal murine model that more closely resembles human MASH progression . Methods: Forty 8 ⁃week⁃old male C57BL/6J mice were randomly assigned to either a control group fed normal chow diet ( NCD) or one of three MASH model groups receiving high⁃fat high⁃cholesterol diet (HFHCD) , choline⁃deficient high⁃fat diet (CDHFD) ,from three randomly selected mice per group were collected for mRNA sequencing ( mRNA⁃seq) analysis . Mean⁃bases . Overlap of functional profiles was analyzed by gene set enrichment analysis (GSEA) profiles to compare the mouse transcriptome with that of human patients at different stages of the disease . Additionally , Pearson ′s correla⁃tion analysis was used to explore the correlation between gene expression of murine models and human MASH . Results: Seven commonly up⁃regulated genes (Col1a1 , Smoc2 , Col6a1 , Gpx3 , Col16a1 , Spp1 and Crtap) were de⁃ways involving steatosis , hepatocellular injury and fibrosis were detected in the three MASH models at the pathway level . HFHCD and MCD might share more common traits . In comparing gene expression and pathway profiles be⁃tween different murine models and patients with different stages of MASH , all three murine MASH models showed a closer resemblance to the human progressive stages of MASH . Notably , the transcriptomic features of the CDHFD model were more consistent with those of human MASH . Conclusion There are certain similarities and differences among the transcriptional profiles of the three MASH models . The MASH models are more similar to the advanced stage of MASH in human patients . Compared to the other two models , the CDHFD model ′ s transcriptome profile more closely resembles human MASH .

Purpose: The aim of this retrospective study was to evaluate the relationship between admission base excess and clinical outcomes in postoperative patients with aortic dissection. Methods: Clinical data were extracted from the MIMIC-IV (Medical Information Mart for Intensive Care IV) database. The association between admission base excess and mortality in postoperative patients with aortic dissection was assessed using multivariate Cox regression and Kaplan-Meier survival analysis. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were employed to evaluate the predictive performance of base excess for in-hospital, 30-day, 90-day, and 1-year mortality. Results: A total of 196 patients were categorized into the normal base excess (–3 to +3 mmol/L) group and abnormal base excess (<–3 or >+3 mmol/L) group. Multivariate Cox regression analysis revealed that arterial base excess was a significant predictor of all-cause mortality across all periods. Subgroup analyses showed no significant interaction effects.The area under the ROC curve for base excess ranged from 0.640 to 0.745, indicating comparable predictive performance to existing scoring tools. Conclusion Arterial base excess measured at admission is an effective and accessible predictor of mortality in patients with aortic dissection following surgical treatment.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.