Sepsis-acquired weakness (SAW) is a common complication in critically ill patients, yet significant gaps remain in both mechanistic understanding and therapeutic interventions for this condition. SAW not only prolongs the duration of mechanical ventilation and hospitalization but is also closely associated with increased mortality. Even if these SAW patients survive, they often experience long-term physical dysfunction after hospital discharge, leading to diminished quality of life. Emerging evidence suggests that sustained mitochondrial dysfunction may constitute a pivotal pathophysiological basis for the development and progression of SAW, primarily encompassing five key aspects: dysregulated mitochondrial quality control (MtQC), impaired oxidative phosphorylation (OXPHOS), exacerbated oxidative stress, disrupted Ca²⁺; homeostasis, and their mediation of diverse myofiber injuries. This article systematically elucidates the central role of mitochondrial dysfunction in the pathogenesis of SAW. Furthermore, we explore potential therapeutic strategies targeting mitochondrial function, including mitigating mitochondrial oxidative stress, optimizing nutritional support, and supplementing with muscle-derived mesenchymal stem cells. These insights provide a critical theoretical framework for understanding SAW mechanisms and developing clinical interventions, with particular emphasis on the translational value of mitochondrial-targeted therapies in improving outcomes for septic patients.
Humans ; Sepsis/metabolism* ; Mitochondria/metabolism* ; Muscle Weakness/etiology* ; Oxidative Stress ; Oxidative Phosphorylation

Objectives:To investigate the predictive value of Murray's law-based quantitative flow ratio(μQFR)in side branches for long-term clinical prognosis in patients with non-left main bifurcation lesions who underwent simple main branch stenting,and to provide a potential functional assessment standard for intervention decision-making on coronary bifurcation lesions.Methods:A retrospective analysis was conducted in 408 patients with non-left main bifurcation lesions who underwent simple main branch stenting at Lianyungang First People's Hospital and Nanjing First Hospital between July 2018 and January 2021.The study utilized third-generation QFR software to analyze pre-and post-procedure anatomical and functional parameters of the target lesion's main branch and key branches.The primary endpoint was target vessel failure(TVF)events during the 3-year follow-up.Patients were stratified into TVF and non-TVF groups.Baseline characteristics,procedural data,and pre-/post-procedural parameters of target vessels were compared between groups.Multivariable Cox regression was performed to identify predictors of TVF.Diagnostic efficacy of predictors was evaluated using area under the receiver operating characteristic(ROC)curve(AUC)with DeLong's method for comparison.Patients were dichotomized based on the optimal cutoffof post-procedural side branch μQFR,with TVF incidence rates compared via Cox regression and Kaplan-Meier analysis.Results:During 3-year follow-up,54 patients(13.2%)experienced TVF(TVF group),data were compared with 354 patients(86.76%)without TVF(non-TVF group).The TVF group showed higher post-procedural side branch diameter stenosis([32.93±17.80]%vs.[22.62±11.96]%,P<0.001)and lower μQFR(0.80±0.10 vs.0.89±0.07,P<0.001).Multivariate Cox regression identified higher post-procedural side branch μQFR as an independent protective factor against 3-year TVF(per 0.01 increase:HR=0.903,95%CI:0.850-0.959,P<0.001).ROC curves indicated that post-procedural side branch μQFR had moderate diagnostic efficacy for predicting 3-year TVF(AUC=0.769,95%CI:0.678-0.861,P<0.001),with a significantly higher AUC value than post-operative side branch area stenosis and minimal lumen diameter(both P<0.001),the optimal cutoffvalue was 0.84.Multivariate Cox regression and Kaplan-Meier survival analysis revealed markedly higher 3-year TVF rates in patients with μQFR≤0.84 compared to patients with μQFR>0.84(HR=4.007,95%CI:2.342-6.855,P<0.001;28.3%vs.7.9%,log-rank P<0.001).Conclusions:For patients with bifurcation lesions not involving the left main,the immediate post-procedural side branch μQFR could better predict 3-year TVF than anatomical indices.Maintaining post-stenting side branch μQFR>0.84 may optimize clinical outcomes when using a single-stent strategy.

Aim To investigate the predictive value of the Murray law-based quantitative flow ratio(μQFR)after target vessel pretreatment for vascular-related adverse events in patients with de novo coronary lesions treated with drug-coated balloon.Methods This retrospective study included 223 lesions from 223 patients who underwent drug-coated balloon-only strategy and completed 2-year clinical follow-up.Coronary angiographic images of target vessels pre-procedure,post-balloon and post-procedure were collected,and analyzed using a novel Murray's law-based algorithm.The μQFR analysis of each target vessel included not only the μQFR value of the target vessel,but also the length of the target vessel,the degree of vessel diameter stenosis,the reference lumen diameter,the minimum lumen diameter and blood flow velocity.The primary endpoint was defined as the postoperative vessel-oriented composite endpoint(VOCE).Results During the2-year clinical follow-up period,a total of 25 patients(11.2%)experienced VOCE events.Com-pared with the control group,patients with VOCE events after pretreatment showed a decrease in μQFR(P<0.001).Multivariate Logistic analysis showed that a lower target vessel μQFR after pretreatment(OR=0.931,95%CI:0.894～0.969,P<0.001)was an independent predictor of VOCE events.ROC curve analysis showed that the cut-off value for predicting 2-year VOCE events using preprocessed μQFR was 0.83(95%CI:0.727～0.840),with a sensitivity of 72.7%and a specificity of 84.0%(AUC=0.773,95%CI:0.676～0.870,P<0.001).Survival analysis showed that compared with patients with μQFR>0.83,patients with μQFR≤0.83 had a significantly higher incidence of VOCE events at 1 and 2 years,increasing to 3.909 times(16.9%vs.4.6%,HR=3.909,95%CI:1.539～9.930,P=0.004)and 2.867 times(19.7%vs.7.2%,HR=2.867,95%CI:1.301～6.316,P=0.009).After adjusting for potential con-founds,patients with pretreated μQFR≤0.83 had a 2.567 times in 2-year incidence of VOCE events(HR=2.567,95%CI:1.151～5.727,P=0.021)and a 3.712 times in 1-year incidence of VOCE events(HR=3.712,95%CI:1.478～9.810,P=0.006)compared to patients with good pretreatment.Conclusions For patients with in situ coronary artery disease,a lower μQFR after pretreatment increases the risk of postoperative adverse clinical events.μQFR≤0.83 may be used to evaluate the effectiveness of lesion pretreatment.

Objective:To explore the capability of deep learning image reconstruction (DLIR) compared to adaptive statistical iterative reconstruction (ASiR-V) in improving the image quality and myocardial edge sharpness of dynamic stress myocardial CT perfusion imaging (CTP).Methods:Thirty subjects who underwent dynamic stress myocardial CTP at Guangdong Provincial People′s Hospital from September 2023 to February 2024 were recruited. Image data of all enrolled patients were reconstructed using ASiR-V 50%, ASiR-V 80%, medium-intensity DLIR(DLIR-M), and high-intensity DLIR(DLIR-H), respectively. Regions of interest were selected in the left ventricular cavity, interventricular septum, and left ventricular lateral wall for measurement of CT values and standard deviations (SD), and calculation of signal to noise ratio (SNR) and contrast to noise ratio (CNR). Matlab was utilized to obtain the differences (d) and slopes (s) of CT value changes at four left ventricular myocardial edges for objective edge sharpness evaluation. Two radiologists subjectively scored the images for noise, natural appearance, and edge sharpness. In case of disagreement between the two radiologists, a third senior radiologist′s score was decisive. Left ventricular myocardial blood flow (MBF) of ASiR-V and DLIR images with lower SD, higher SNR and CNR were calculated, respectively. When the normal distribution was satisfied, the independent sample t test was used for comparison between two groups, and the random block design ANOVA was used for comparison between multiple groups. And analysis was conducted using Friedman test for non-normally distributed data, and Bonferroni correction for pairwise comparisons. Results:There were statistically significant differences in SD, SNR, and CNR among the four images in the interventricular septum and left ventricular lateral wall (all P<0.05), with ASiR-V 80% and DLIR-H demonstrating the lowest SD, highest SNR and CNR, and the subjective image noise score. Statistically significant differences were observed in d and s for the four left ventricular myocardial edges (all P<0.05), with DLIR-M and DLIR-H exhibiting the best objective edge sharpness [5 (5, 5)], and ASiR-V 80% the worst [3.5 (3, 4)]. In the subjective scores for natural appearance, DLIR-M and DLIR-H received the highest scores [5 (5, 5)], while ASiR-V 80% received the lowest scores [3 (3, 4)], with statistically significant differences (all P<0.05). There was no statistically significant difference in MBF values calculated from ASiR-V 80% and DLIR-H images (all P>0.05). Conclusions:The SD value, SNR and CNR of dynamic stress myocardial CTP images reconstructed by DLIR-H are equivalent to ASiR-V 80%, and using DLIR-H can improve the edge sharpness of left ventricular myocardium without affecting the calculation of MBF.

Ultrasonography（US）is the first-line imaging modality recommended by domestic and international guidelines for liver tumor screening，owing to its non-invasive nature，real-time dynamic imaging capability，cost-effectiveness，and operational convenience. In recent years，the integration of artificial intelligence（AI）and medical imaging has emerged as a major research focus. By leveraging large-scale data training，AI models can automatically recognize and analyze input imaging data and generate predictive outcomes. Notably，AI-based ultrasound imaging technology has achieved breakthrough advancements in the diagnosis and treatment of liver tumors. These innovations significantly improve diagnostic accuracy，optimize treatment strategies，predict disease progression and prognosis，and monitor therapeutic response. This article provides a comprehensive review of the latest applications and research progress of AI in ultrasound-based diagnosis and treatment of liver tumors.

This study aims to screen epitope antigens targeting the receptor binding domain(RBD)of porcine epidemic diarrhea virus(PEDV)based on its amino acid sequence(GenBank accession number:AKN45969.1),prepare PEDV RBD polyclonal antibody,and perform their identification.Bioinformatics analysis software was used to predict the potential antigenic epitopes of PEDV RBD and sequence comparison with porcine coronavirus strains was performed,the selected dominant antigen epitopes were then conjugated with keyhole limpet hemocyanin(KLH),to synthesize pep-tides directly and immunize mice to generate specific antibody,Western blot technique and indirect immunofluorescence assay were utilized to identify the specificity of the antibodies,and indirect ELISA method was further applied to determine the antibody potency.Results showed the selected PEDV RBD dominant epitope sequence shared 100％similarity with 18 other PEDV strains,while exhibiting low sequence similarity with 11 TGEV strains(27.8％—29.3％)and 16 PDCoV strains(10.5％—13.4％),indicating good epitope conservation.Western blot showed that the specificity of the prepared peptide antibody specifically recognized the PEDV RED protein overexpressed in Ex-pi293F cells and overexpressed in baculovirus system,and at the same time,the antibody was still able to detect the PEDV S protein expressed in PEDV-infected Vero cells at a 1∶2 000 dilution,while it did not react with TGEV-and PDCoV-infected ST cells,indicating that the good specificity of the peptide antibody.ELISA revealed that the potency of specific antibodies in mouse serum could reach up to 1∶25 600.The above results indicate that bioinformatics techniques were suc-cessfully utilized to predict antigenic epitopes of PEDV RBD protein,and specific PEDV RBD pep-tide antibodies were prepared.

Aim To investigate the predictive value of the Murray law-based quantitative flow ratio(μQFR)after target vessel pretreatment for vascular-related adverse events in patients with de novo coronary lesions treated with drug-coated balloon.Methods This retrospective study included 223 lesions from 223 patients who underwent drug-coated balloon-only strategy and completed 2-year clinical follow-up.Coronary angiographic images of target vessels pre-procedure,post-balloon and post-procedure were collected,and analyzed using a novel Murray's law-based algorithm.The μQFR analysis of each target vessel included not only the μQFR value of the target vessel,but also the length of the target vessel,the degree of vessel diameter stenosis,the reference lumen diameter,the minimum lumen diameter and blood flow velocity.The primary endpoint was defined as the postoperative vessel-oriented composite endpoint(VOCE).Results During the2-year clinical follow-up period,a total of 25 patients(11.2%)experienced VOCE events.Com-pared with the control group,patients with VOCE events after pretreatment showed a decrease in μQFR(P<0.001).Multivariate Logistic analysis showed that a lower target vessel μQFR after pretreatment(OR=0.931,95%CI:0.894～0.969,P<0.001)was an independent predictor of VOCE events.ROC curve analysis showed that the cut-off value for predicting 2-year VOCE events using preprocessed μQFR was 0.83(95%CI:0.727～0.840),with a sensitivity of 72.7%and a specificity of 84.0%(AUC=0.773,95%CI:0.676～0.870,P<0.001).Survival analysis showed that compared with patients with μQFR>0.83,patients with μQFR≤0.83 had a significantly higher incidence of VOCE events at 1 and 2 years,increasing to 3.909 times(16.9%vs.4.6%,HR=3.909,95%CI:1.539～9.930,P=0.004)and 2.867 times(19.7%vs.7.2%,HR=2.867,95%CI:1.301～6.316,P=0.009).After adjusting for potential con-founds,patients with pretreated μQFR≤0.83 had a 2.567 times in 2-year incidence of VOCE events(HR=2.567,95%CI:1.151～5.727,P=0.021)and a 3.712 times in 1-year incidence of VOCE events(HR=3.712,95%CI:1.478～9.810,P=0.006)compared to patients with good pretreatment.Conclusions For patients with in situ coronary artery disease,a lower μQFR after pretreatment increases the risk of postoperative adverse clinical events.μQFR≤0.83 may be used to evaluate the effectiveness of lesion pretreatment.

Objectives:To investigate the predictive value of Murray's law-based quantitative flow ratio(μQFR)in side branches for long-term clinical prognosis in patients with non-left main bifurcation lesions who underwent simple main branch stenting,and to provide a potential functional assessment standard for intervention decision-making on coronary bifurcation lesions.Methods:A retrospective analysis was conducted in 408 patients with non-left main bifurcation lesions who underwent simple main branch stenting at Lianyungang First People's Hospital and Nanjing First Hospital between July 2018 and January 2021.The study utilized third-generation QFR software to analyze pre-and post-procedure anatomical and functional parameters of the target lesion's main branch and key branches.The primary endpoint was target vessel failure(TVF)events during the 3-year follow-up.Patients were stratified into TVF and non-TVF groups.Baseline characteristics,procedural data,and pre-/post-procedural parameters of target vessels were compared between groups.Multivariable Cox regression was performed to identify predictors of TVF.Diagnostic efficacy of predictors was evaluated using area under the receiver operating characteristic(ROC)curve(AUC)with DeLong's method for comparison.Patients were dichotomized based on the optimal cutoffof post-procedural side branch μQFR,with TVF incidence rates compared via Cox regression and Kaplan-Meier analysis.Results:During 3-year follow-up,54 patients(13.2%)experienced TVF(TVF group),data were compared with 354 patients(86.76%)without TVF(non-TVF group).The TVF group showed higher post-procedural side branch diameter stenosis([32.93±17.80]%vs.[22.62±11.96]%,P<0.001)and lower μQFR(0.80±0.10 vs.0.89±0.07,P<0.001).Multivariate Cox regression identified higher post-procedural side branch μQFR as an independent protective factor against 3-year TVF(per 0.01 increase:HR=0.903,95%CI:0.850-0.959,P<0.001).ROC curves indicated that post-procedural side branch μQFR had moderate diagnostic efficacy for predicting 3-year TVF(AUC=0.769,95%CI:0.678-0.861,P<0.001),with a significantly higher AUC value than post-operative side branch area stenosis and minimal lumen diameter(both P<0.001),the optimal cutoffvalue was 0.84.Multivariate Cox regression and Kaplan-Meier survival analysis revealed markedly higher 3-year TVF rates in patients with μQFR≤0.84 compared to patients with μQFR>0.84(HR=4.007,95%CI:2.342-6.855,P<0.001;28.3%vs.7.9%,log-rank P<0.001).Conclusions:For patients with bifurcation lesions not involving the left main,the immediate post-procedural side branch μQFR could better predict 3-year TVF than anatomical indices.Maintaining post-stenting side branch μQFR>0.84 may optimize clinical outcomes when using a single-stent strategy.

This study aims to screen epitope antigens targeting the receptor binding domain(RBD)of porcine epidemic diarrhea virus(PEDV)based on its amino acid sequence(GenBank accession number:AKN45969.1),prepare PEDV RBD polyclonal antibody,and perform their identification.Bioinformatics analysis software was used to predict the potential antigenic epitopes of PEDV RBD and sequence comparison with porcine coronavirus strains was performed,the selected dominant antigen epitopes were then conjugated with keyhole limpet hemocyanin(KLH),to synthesize pep-tides directly and immunize mice to generate specific antibody,Western blot technique and indirect immunofluorescence assay were utilized to identify the specificity of the antibodies,and indirect ELISA method was further applied to determine the antibody potency.Results showed the selected PEDV RBD dominant epitope sequence shared 100％similarity with 18 other PEDV strains,while exhibiting low sequence similarity with 11 TGEV strains(27.8％—29.3％)and 16 PDCoV strains(10.5％—13.4％),indicating good epitope conservation.Western blot showed that the specificity of the prepared peptide antibody specifically recognized the PEDV RED protein overexpressed in Ex-pi293F cells and overexpressed in baculovirus system,and at the same time,the antibody was still able to detect the PEDV S protein expressed in PEDV-infected Vero cells at a 1∶2 000 dilution,while it did not react with TGEV-and PDCoV-infected ST cells,indicating that the good specificity of the peptide antibody.ELISA revealed that the potency of specific antibodies in mouse serum could reach up to 1∶25 600.The above results indicate that bioinformatics techniques were suc-cessfully utilized to predict antigenic epitopes of PEDV RBD protein,and specific PEDV RBD pep-tide antibodies were prepared.

Ultrasonography（US）is the first-line imaging modality recommended by domestic and international guidelines for liver tumor screening，owing to its non-invasive nature，real-time dynamic imaging capability，cost-effectiveness，and operational convenience. In recent years，the integration of artificial intelligence（AI）and medical imaging has emerged as a major research focus. By leveraging large-scale data training，AI models can automatically recognize and analyze input imaging data and generate predictive outcomes. Notably，AI-based ultrasound imaging technology has achieved breakthrough advancements in the diagnosis and treatment of liver tumors. These innovations significantly improve diagnostic accuracy，optimize treatment strategies，predict disease progression and prognosis，and monitor therapeutic response. This article provides a comprehensive review of the latest applications and research progress of AI in ultrasound-based diagnosis and treatment of liver tumors.