Mitochondrial quality control （MQC） homeostasis serves as a fundamental mechanism in maintaining the mitochondrial structure and function. Dysregulation of MQC contributes to the progression of acute ischemic stroke （AIS） through multiple pathways including disturbances in energy metabolism， increased oxidative stress， and imbalances in mitochondrial fusion and fission. Drawing upon the traditional Chinese medicine （TCM） theory of the kidney governing Yin and Yang， this study innovatively proposes an integrative model of "Yin-Yang dynamic balance-MQC homeostasis" to elucidate the underlying pathophysiological mechanisms. Specifically， kidney Yang deficiency and decline result in reduced driving force， thereby inhibiting mitochondrial fusion. This leads to decreased efficiency of oxidative phosphorylation and impaired adenosine triphosphate （ATP） production. Conversely， when kidney Yin is dysfunctional and excessive phlegm-blood stasis accumulates， mitochondrial fission becomes hyperactive， causing rapid accumulation of reactive oxygen species （ROS） and intensified oxidative stress. The interplay between these two pathological states culminates in the central TCM pathogenesis—Yin-Yang imbalance and disordered Qi and blood-of AIS. To address this pathogenesis， a therapeutic strategy is proposed： tonifying the kidney as the primary intervention to restore MQC homeostasis， supplemented by resolving phlegm and removing blood stasis to interrupt the deleterious cycle of cerebral vascular damage. This work integrates the holistic perspective of TCM with contemporary molecular insights， offering precise intervention targets along the "kidney-mitochondria axis" for the prevention and treatment of AIS， while establishing a novel integrative paradigm for stroke management that bridges traditional and modern medicine. Future research should focus on elucidating the molecular mechanisms through which TCM regulates MQC in AIS and integrating classical TCM theories with evidence-based medicine to facilitate the translation of theoretical insights into clinical applications.

Objective To elucidate the molecular mechanisms underlying the effects of Kanggan Mixture(KGM)on key targets in rats with acute lung injury,network pharmacology and in vivo micro-CT experiments were employed.Methods Network pharmacology was utilized to forecast the target genes and principal pathways involved in the intervention of KGM in acute lung injury(ALI).Lipopolysaccharide(LPS)-induced ALI rat models were utilized,and micro-computed tomography(micro-CT)was employed to evaluate the extent of lung injury in vivo.Experiments were conducted to verify the intervention mechanism of KGM on ALI rats.Results The findings revealed that 190 chemical constituents were identified from KGM,and 579 potential targets and 204 pathways associated with KGM's impact on ALI were predicted.The principal components of KGM,such as quercetin,luteolin,kaempferol,betulin,and lupenone,exhibit anti-viral,anti-inflammatory,and immunomodulatory properties by targeting TP53,AKT1,SRC,EP300,and STAT3,and modulating the FoxO signaling pathway,TNF signaling pathway,PI3K-Akt signaling pathway,and MAPK signaling pathway,demonstrating an influence on acute lung injury.Micro-CT results suggest that KGM can improve lung texture enhancement and lung injury in ALI rats,with an increase in end-expiratory lung volume(inspiratory phase-expiratory phase).The HE and W/D ratio results indicate that KGM can improve lung tissue injury and reduce the lung tissue wet/dry weight ratio(P<0.01).Blood cell analysis results show that the anti-inflammatory agent can decrease the WBC(white blood cell count)and N%(neutrophil percentage)in ALI rats'blood(P<0.01),and increase lymphocytes(P<0.05).Real-time quantitative PCR,WES,and immunohistochemistry results suggest that KGM can decrease the mRNA expression,protein distribution,and protein expression levels of TP53,AKT1,SRC,EP300,and STAT3 in lung tissue of ALI rats(P<0.05).Conclusion KGM has a certain intervention effect on acute lung injury,mainly achieved through the core targets STAT3,EP300,SRC,AKT1,and TP53.

Objective To analyze the characteristics of brain functional networks in patients with post-stroke aphasia(PSA)during a Chinese word-picture matching task.Methods A total of 18 PSA patients in Dongzhimen Hospital from January,2018 to December,2021 were enrolled as PSA group,and nine healthy controls matched for sex,age and education were included as the control group.The Chinese Rehabilitation Research Center Aphasia Examination(CRRCAE)and task-state electroencephalogram(EEG)data based on a Chinese word-picture matching paradigm were collected.Source-space reconstruction was applied to EEG signals to construct functional connectivity matrices.Graph-theoretical analysis was used to com-pute global network properties,and network-based statistics were used to identify subnetwork differences be-tween groups.Correlations between global network properties and CRRCAE subscales were further analyzed.Results The global properties of each frequency band were higher in the control group(unmatched)than in PSA group and the control group(matched)(P<0.01).Subnetworks connections enhanced in the alpha band in the frontal,temporal,parietal,occipital lobes and limbic system(23 nodes,31 edges,P<0.05),and weakened connections in the frontal,temporal,limbic system and basal ganglia(20 nodes,26 edges,P<0.01)in PSA group;in the beta band,subnetwork connections enhanced in the frontal,temporal lobes,basal ganglia and limbic system(15 nodes,23 edges,P<0.01);in the theta band,subnetwork connections weakened in the left frontal and temporal lobes(10 nodes,11 edges,P<0.05),and enhanced in the right frontal and temporal lobes(7 nodes,7 edges,P<0.05).Under the matched condition,the global properties of the alpha and beta bands in PSA group were positive-ly correlated with reading(r=0.511 to 0.650,all P<0.05),and the local efficiency and average clustering coeffi-cient of the theta band were negatively correlated with repetition(r=-0.500 to-0.505,all P<0.05);under the unmatched condition,the local efficiency and average clustering coefficient of the alpha and beta bands in PSA group were positively correlated with reading(r=0.522 to 0.642,all P<0.05),and the global efficiency and lo-cal efficiency of the alpha band were positively correlated with auditory comprehension(r=0.486 to 0.496,all P<0.05).The comparison between the task state and the resting state further revealed that compensatory connec-tion enhanced in the alpha band in the frontal lobe and limbic system(6 nodes,5 edges,P<0.05)and in the beta band in the frontal,temporal,parietal,occipital lobes and limbic system(38 nodes,52 edges,P<0.01)in PSA pa-tients.Conclusion The core network damage characteristics of PSA patients are abnormally decreased global properties across multiple frequency bands and frequency-specific abnormal network reorganization,suggesting the overall brain network efficiency decline coexists with local compensation.This provides an objective basis for the neuroelec-trophysiological evaluation and targeted intervention of PSA.

Objective To elucidate the molecular mechanisms underlying the effects of Kanggan Mixture(KGM)on key targets in rats with acute lung injury,network pharmacology and in vivo micro-CT experiments were employed.Methods Network pharmacology was utilized to forecast the target genes and principal pathways involved in the intervention of KGM in acute lung injury(ALI).Lipopolysaccharide(LPS)-induced ALI rat models were utilized,and micro-computed tomography(micro-CT)was employed to evaluate the extent of lung injury in vivo.Experiments were conducted to verify the intervention mechanism of KGM on ALI rats.Results The findings revealed that 190 chemical constituents were identified from KGM,and 579 potential targets and 204 pathways associated with KGM's impact on ALI were predicted.The principal components of KGM,such as quercetin,luteolin,kaempferol,betulin,and lupenone,exhibit anti-viral,anti-inflammatory,and immunomodulatory properties by targeting TP53,AKT1,SRC,EP300,and STAT3,and modulating the FoxO signaling pathway,TNF signaling pathway,PI3K-Akt signaling pathway,and MAPK signaling pathway,demonstrating an influence on acute lung injury.Micro-CT results suggest that KGM can improve lung texture enhancement and lung injury in ALI rats,with an increase in end-expiratory lung volume(inspiratory phase-expiratory phase).The HE and W/D ratio results indicate that KGM can improve lung tissue injury and reduce the lung tissue wet/dry weight ratio(P<0.01).Blood cell analysis results show that the anti-inflammatory agent can decrease the WBC(white blood cell count)and N%(neutrophil percentage)in ALI rats'blood(P<0.01),and increase lymphocytes(P<0.05).Real-time quantitative PCR,WES,and immunohistochemistry results suggest that KGM can decrease the mRNA expression,protein distribution,and protein expression levels of TP53,AKT1,SRC,EP300,and STAT3 in lung tissue of ALI rats(P<0.05).Conclusion KGM has a certain intervention effect on acute lung injury,mainly achieved through the core targets STAT3,EP300,SRC,AKT1,and TP53.

Objective To analyze the characteristics of brain functional networks in patients with post-stroke aphasia(PSA)during a Chinese word-picture matching task.Methods A total of 18 PSA patients in Dongzhimen Hospital from January,2018 to December,2021 were enrolled as PSA group,and nine healthy controls matched for sex,age and education were included as the control group.The Chinese Rehabilitation Research Center Aphasia Examination(CRRCAE)and task-state electroencephalogram(EEG)data based on a Chinese word-picture matching paradigm were collected.Source-space reconstruction was applied to EEG signals to construct functional connectivity matrices.Graph-theoretical analysis was used to com-pute global network properties,and network-based statistics were used to identify subnetwork differences be-tween groups.Correlations between global network properties and CRRCAE subscales were further analyzed.Results The global properties of each frequency band were higher in the control group(unmatched)than in PSA group and the control group(matched)(P<0.01).Subnetworks connections enhanced in the alpha band in the frontal,temporal,parietal,occipital lobes and limbic system(23 nodes,31 edges,P<0.05),and weakened connections in the frontal,temporal,limbic system and basal ganglia(20 nodes,26 edges,P<0.01)in PSA group;in the beta band,subnetwork connections enhanced in the frontal,temporal lobes,basal ganglia and limbic system(15 nodes,23 edges,P<0.01);in the theta band,subnetwork connections weakened in the left frontal and temporal lobes(10 nodes,11 edges,P<0.05),and enhanced in the right frontal and temporal lobes(7 nodes,7 edges,P<0.05).Under the matched condition,the global properties of the alpha and beta bands in PSA group were positive-ly correlated with reading(r=0.511 to 0.650,all P<0.05),and the local efficiency and average clustering coeffi-cient of the theta band were negatively correlated with repetition(r=-0.500 to-0.505,all P<0.05);under the unmatched condition,the local efficiency and average clustering coefficient of the alpha and beta bands in PSA group were positively correlated with reading(r=0.522 to 0.642,all P<0.05),and the global efficiency and lo-cal efficiency of the alpha band were positively correlated with auditory comprehension(r=0.486 to 0.496,all P<0.05).The comparison between the task state and the resting state further revealed that compensatory connec-tion enhanced in the alpha band in the frontal lobe and limbic system(6 nodes,5 edges,P<0.05)and in the beta band in the frontal,temporal,parietal,occipital lobes and limbic system(38 nodes,52 edges,P<0.01)in PSA pa-tients.Conclusion The core network damage characteristics of PSA patients are abnormally decreased global properties across multiple frequency bands and frequency-specific abnormal network reorganization,suggesting the overall brain network efficiency decline coexists with local compensation.This provides an objective basis for the neuroelec-trophysiological evaluation and targeted intervention of PSA.

BACKGROUND:As a leading technique in the treatment of primary stenosis by posterior spinal endoscopy through unilateral approach and bilateral decompression using single channel endoscopy,the long-term efficacy needs to be further observed.There are few reports on the scope of intraoperative resection and few relevant studies on biomechanics and finite element analysis. OBJECTIVE:A three-dimensional finite element model was established to evaluate the effects of bilateral lumbar canal decompression under a one-hole split endoscope on lumbar range of motion and intradiscal pressure,to provide suggestions for clinical operation and theoretical basis for further clinical research. METHODS:A complete L3-L5 vertebral body model was reconstructed by CT images of nine healthy volunteers,which was used as the preoperative model M1.The simulated surgical resection range of L4-L5 was performed,and 1/4,1/3 and 1/2 of bilateral facet joints were removed respectively to obtain models M2,M3 and M4.The range of motion and the maximum Von Mises stress of the four models were compared in the six directions of forward bending,backward extension,left and right bending,and left and right rotation. RESULTS AND CONCLUSION:(1)The L3-L5 finite element model established in this study was effective,and the range of motion was within the range of previous solid studies under six motion states.(2)Compared with the M1 model,the L4-L5 lumbar spine range of motion increased with the increase of resection range in M2 with M3 and M4 models under forward bending,left and right bending and left and right rotation loading,and the difference was significant(P＜0.05).Under posterior extension loading,there was no significant difference in lumbar range of motion between M1 and M2(P＞0.05),but there was a significant difference of M1,M3 and M4(P＜0.05).(3)The range of motion of the L3-L4 lumbar spine had no significant change with the increase of bilateral facet arthrotomy(P＞0.05).(4)There was a significant difference in the maximum value of L4-L5 Von Mises between M1 and M2(P＜0.05),and there was a significant difference in the maximum value of L4-L5 Von Mises between M1 and M3,M4(P＜0.01),and the maximum value of L4-L5 lumbar von Mises increased with the increasing range of bilateral facet joint resection.Resection of more than 1/3 was particularly obvious.(5)The maximum value of Von Mises in the L3-L4 lumbar spine was increased with the increase of the resection range under forward bending,left and right bending and left and right rotation loading and the difference was significant(P＜0.05).(6)The results exhibited that the L4-L5 lumbar motion and intervertebral disc pressure increased with the increase of the excision range.Intervertebral disc pressure at L3-L4 increased with the increased extent of excision,but the lumbar range of motion was not significantly affected.In conclusion,the stability of the operative segment may be affected by the increase in the scope of facet joint resection.Although the immediate stability of adjacent segments is not affected,it may accelerate disc degeneration.

Objective:To construct a prognostic predictive model for patients with moderate to severe traumatic brain injury (msTBI) based on regional cerebral oxygen saturation (rScO 2) and transcranial Doppler ultrasound (TCD) monitoring parameters and validate its effectiveness. Methods:A retrospective cohort study was conducted to analyze the clinical data of 161 patients with msTBI who were treated at Henan Provincial People′s Hospital from January 2021 to December 2022, including 104 males and 57 females, aged 19-76 years [(53.1±12.8)years]. Glasgow coma scale (GCS) score was 3-12 points [(7.0±1.9)points]. Both rScO 2 and TCD monitoring were performed. Based on the results of prognostic evaluation of patients with the modified Rankin scale (mRS) score at 90 days after discharge, the patients were divided into good prognosis group (mRS score≤3 points, n=88) and poor prognosis group (mRS score of 4-6 points, n=73). The following data of the two groups were collected: the general data, clinical data, rScO 2 monitoring parameters and TCD monitoring parameters. Univariate analysis was employed to compare the differences in the relevant prognostic indicators. Multivariate Logistic stepwise regression analysis was conducted to determine the predictors of poor prognostic outcomes in msTBI patients and regression equations were constructed. A nomogram predictive model based on regression equations was drawn with R language. The discriminability of the model was evaluated by drawing the receiver operating characteristic (ROC) curve, to calculate the area under the curve (AUC), sensitivity, specificity, and Jordan index of the model, and measuring the consistency index (C index). Hosmer-Lemeshow (H-L) goodness of fit test was conducted to evaluate the fit of the model, and the calibration curve was used to evaluate the calibration degree of the model. Decision curve analysis (DCA) was employed to evaluate the clinical benefit and applicability of the model. Results:There were significant differences between the two groups in the clinical data (cerebral hernia formation, GCS on admission, acute physiology and chronic health evaluation II (APACHE II) score on admission, Rotterdam CT score on admission, oxygenation index on admission, mean arterial pressure on admission), rScO 2 monitoring parameters (mean rScO 2, maximum rScO 2, rScO 2 variability), TCD monitoring parameters [peak systolic blood flow velocity (Vs), average blood flow velocity (Vm), pulse index (PI)] ( P<0.05 or 0.01). The results of multivariate Logistic stepwise regression analysis showed that cerebral hernia formation ( OR=9.28, 95% CI 3.40, 25.33, P<0.01), Rotterdam CT score on admission ( OR=1.92, 95% CI 1.32, 2.78, P<0.01), rScO 2 variability ( OR=4.66, 95% CI 1.74, 12.43, P<0.01), Vs ( OR=0.66, 95% CI 0.61, 0.75, P<0.01) and PI ( OR=20.07, 95% CI 4.17, 16.50, P<0.01) were predictive factors for poor prognosis in patients with msTBI. The regression equation was constructed with the forementioned 5 variables: Logit [ P/(1- P)]=2.23×"brain hernia formation"+0.65×"Rotterdam CT score on admission"+1.54×"rScO 2 variability"-0.42×"Vs"+3.00×"PI"-6.75. The AUC of prognostic predictive model of msTBI patients was 0.90 (95% CI 0.85, 0.95), with the sensitivity and specificity of 86.3% and 78.4%, Youden index of 0.65 and C index of 0.90. H-L goodness of fit test showed that the calibration degree of the predictive model was accurate ( χ2 =12.58, P>0.05). The average absolute error of the calibration curve was 0.025, showing that the calibration of the model was good. DCA results showed that this model had higher net return rate than the reference model within the probability range of risk threshold (20%-100%), with good clinical application value in evaluating the risk of poor prognosis of msTBI patients. Conclusion:The model constructed based on the combination of rScO 2 and TCD monitoring parameters (rScO 2 variability, Vs and PI) with multiple clinical indicators (cerebral hernia formation and Rotterdam CT score on admission) has good predictive performance for the prognosis of msTBI.

Objective:To analyze the incidence and clinical phenotype of the concomitant extragenital malformations in the patients with female reproductive tract anomalies.Methods:A retrospective study was conducted using clinical data of hospitalized patients diagnosed with uterine, cervical, or vaginal malformations from January 2003 to December 2022 in Peking Union Medical College Hospital. The malformations were classified according to American Society for Reproductive Medicine müllerian anomalies classification 2021, and in each type, the incidence and specific manifestations of concomitant extragnital malformations were analyzed.Results:A total of 444 patients were included. The overall incidence of concomitant extragenital malformations was 43.5% (193/444), including urinary system, skeletal system, and other system malformations. Renal malformations on the obstructed side were present in all patients with oblique vaginal septum syndrome (100.0%, 78/78). The total incidence of concomitant extragnital malformations was as high as 8/11 in uterus didelphys, 43.5% (10/23) in unicornuate uterus, 33.6% (79/235) in Mayer-Rokitansky-Küster-Hauser syndrome, 18.8% (6/32) in septate uterus and 18.5% (12/65) in cervical agenesis. Urinary system malformations (30.6%, 136/444) and skeletal system malformations (13.5%, 60/444) were the most common concomitant malformations in all types, in which, unilateral renal agenesis and scoliosis were the most common.Conclusions:Urinary and skeletal system malformations are important features of female reproductive tract anomalies. Urologic ultrasonography and spinal roentgenogram are recommended for all patients with female reproductive tract anomalies.

Objective To know the residues of 13 veterinary drug residues in chicken and eggs foods in some areas in Xinjiang. Methods A total of 170 chicken and egg samples were randomly selected from supermarkets and farmers' markets in seven cities in Xinjiang. Eleven quinolone antibiotics, two tetracycline antibiotics, ribavirin and metronidazole were examined for veterinary drug residues using liquid chromatography tandem mass spectrometry (LC-MS/MS) . Results The overall detection rate of veterinary drug residues in eggs and chicken were 20%（18/90）and11.25%（9/80）. The overall over-standard rate were 18.89%（17/90）and 0（0/80）. Veterinary drug residues in chicken are heavier than eggs. Veterinary drugs were detected and over-standarded in all seven cities in Xinjiang monitored. Conclusion The veterinary drug contamination in chicken and eggs in Xinjiang is relatively serious. It is recommended to strengthen the standardization of production and supervision to ensure food safety.

Objective:To explore the risk factors of urinary incontinence (UI) in China by using random forest algorithm, and to evaluate the predictive effect of each risk factor on UI.Methods:A baseline survey with a multistage stratified cluster sampling design was conducted between February 2014 and January 2016, and followed up by telephone from June to December 2018. A total of 55 477 adult women from six provinces of China participated the survey. According to the ratio of 1:1, under sampling method was used to randomly select the same number of women as UI from the non UI women. The data were randomly divided into training set and verification set according to 7:3. The training set was used to establish the random forest model, which including the candidate variables with P<0.2 in univariate analysis, and the verification set was used to verify the predictive effects. Results:A total of 30 658 patients (55.26%, 30 658/55 477) completed the follow-up, the median follow-up time was 3.7 years. Among the 24 985 women without UI at baseline, 1 757 (7.03%, 1 757/24 985) had UI at followed up, including 1 117 (4.47%, 1 117/24 985) with stress UI, 243 (0.97%, 243/24 985) with urgency UI and 397 (1.59%, 397/24 985) with mixed UI. When fixed the number of features as 2 and the number of random trees as 300 in the random forest model, the out of bag error rate estimation was the lowest; with such parameter settings, the classification accuracy was 64.3%, the sensitivity was 64.2%, and the specificity was 64.4%. The top10 predictive UI factors that screening by the variable importance measure in random forest model were obtained as follows: age, parity, delivery pattern, body mass index (BMI), menopause, history of diabetes, education level, history of pelvic surgery, regions, and marital status.Conclusion:We identified the top10 predictive UI factors that screening by the variable importance in random forest model as follows: age, parity, delivery pattern, BMI, menopause, history of diabetes, education level, history of pelvic surgery, regions, and marital status.