Objective To compare the clinical outcomes of subxiphoid robot-assisted thoracoscopic surgery (SRATS) and intercostal robot-assisted thoracoscopic surgery (IRATS) in the treatment of anterior mediastinal tumors. Methods A retrospective analysis was conducted on patients with anterior mediastinal tumors who underwent robot-assisted surgery in the Department of Thoracic Surgery, Gansu Provincial Hospital, from May 2020 to July 2022. According to the surgical approach, patients were divided into an SRATS group and an IRATS group. Perioperative data were compared between the two groups. Results A total of 87 patients were included. There were 41 patients in the SRATS group [23 males, 18 females; mean age, (44.51±11.28) years] and 46 patients in the IRATS group [21 males, 25 females; mean age, (46.67±8.76) years]. Compared with the IRATS group, the SRATS group had significantly less intraoperative blood loss [(24.41±6.67) mL vs. (37.93±9.23) mL, P<0.001], shorter postoperative drainage duration [(1.73±0.59) days vs. (2.54±0.50) days, P<0.001], lower postoperative drainage volume [(94.46±34.08) mLvs. (116.72±24.90) mL, P=0.001], lower visual analogue scale (VAS) pain scores on postoperative day 1 [(3.66±0.76) points vs. (4.15±0.84) points, P=0.005] and day 3 [(2.41±0.59) points vs. (2.89±0.82) points, P=0.003], shorter postoperative hospital stay [(4.12±0.81) days vs. (4.98±1.02) days, P<0.001], and lower hospitalization costs [(4.51±0.65) ten thousand yuan vs. (4.86±0.68) ten thousand yuan, P=0.020]. There were no statistical differences between the two groups in operative time or incidence of postoperative complications (P>0.05). Conclusion Both SRATS and IRATS are safe and effective for the treatment of anterior mediastinal tumors. However, SRATS is less invasive and more conducive to enhanced postoperative recovery.

To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions.

OBJECTIVE This study investigated the clinical implications of endothelial cell-specific molecule 1(ESM-1)in obstructive sleep apnea(OSA)patients,with particular focus on its dynamic correlation with adhesion molecules,aiming to elucidate the regulatory role of ESM-1 in OSA-associated vascular endothelial impairment.METHODS This cross-sectional study enrolled participants undergoing polysomnography(PSG)at the Sleep Medicine Center of Beijing Anzhen Hospital,Capital Medical University between March 2017 and January 2018.Based on the inclusion criteria,161 participants were ultimately included and divided into OSA group(n=118)and control group(n=43).Demographic data and polysomnography parameters were collected.We used a powerful high-throughput Multiplex Immunobead Assay technology to simultaneously test plasm cytokines levels of ESM-1,inter-cellular adhesion molecule 1(ICAM-1),vascular cell adhesion molecule 1(VCAM-1).Circulating C-reactive protein(CRP)and homocysteine(Hcy)were detected by routine blood chemistry panel.RESULTS Circulating ESM-1 levels were significantly elevated in patients with OSA compared with healthy controls[819.73(612.36-1393.47)pg/ml]vs.[286.17(114.48-513.81)pg/ml,P<0.001].After adjusting for confounding factors,we found that circulating ESM-1 levels were an independent risk factor for OSA(odds ratio=2.162,95%CI=1.522-3.072,P<0.001)and circulating ESM-1 levels were positively associated with ICAM-1 and VCAM-1 levels(β=1.977,95%CI=1.429-2.734,P<0.001).CONCLUSION Circulating ESM-1 levels were significantly increased in patients with OSA,which is closely related with adhesion molecules levels.ESM-1 may be a surrogate endothelial dysfunction marker and an independent risk factor for OSA.

Objective:To explore the heterogeneity in the trajectories ofperinatal depressive symptoms and identify the related factors.Methods:A longitudinal follow-up study was conducted from January 2020 to June 2021.Baseline information,marriage satisfaction and social support status were collected at enrolment.Perinatal de-pressive symptoms were measured using the Edinburgh Postnatal Depression Scale(EPDS)at five time-points from second trimester to three-months postpartum.A Latent Class Growth Model(LCGM)was used to identify sub-groups of perinatal depressive symptoms trajectories and logistic regression was applied to examine associated risk and protective factors.Results:Two latent depression trajectory subgroups were identified A majority(72.2％,n=1 023)followed a curvilinear trajectory with low baseline scores that increased over time(curvilinear group),while 27.8％(n=393)maintained high,stable scores(linear group).Older age,higher marital satisfaction,and stronger social support were associated with a lower likelihood of belonging to the linear group(OR=0.96,0.94,0.89,re-spectively),while a personal or family history of depression increased this likelihood(OR=2.50,6.51).Conclusion:Trajectories of perinatal depressive symptoms vary significantly among individuals.The risk of persis-tent high-level symptoms is lowered by older age,stronger marital satisfaction,and greater social support,and heightened by a personal or family history of depression.

Objective:To investigate the differences in brain age and brain age gap (BAG) between patients with prolonged disorders of consciousness (pDoC) and healthy controls (HC).Methods:A retrospective cross-sectional study was performed; 43 patients with pDoC admitted to Rehabilitation Medicine Center, Zhujiang Hospital, Southern Medical University from January 2020 to October 2022 were enrolled; 26 healthy volunteers recruited at the same time and 187 healthy subjects from the publicly available healthy control dataset Nathan Kline Institute-Rockland Sample (NKI-RS) were chosen as HC group. The clinical and imaging data of these subjects were collected. A brain age estimation model was constructed based on amplitude of low-frequency fluctuation (ALFF) in resting-state functional magnetic resonance imaging (rs-fMRI) for healthy individuals, and the pDoC group was used as the test set. A two-sample t-test was used to compare the brain age and BAG differences between the pDoC group and HC group. Pearson correlation analysis was used to explore the correlation between BAG and coma recovery scale-revised (CRS-R) in the pDoC group. Results:The chronological age and estimated brain age in the HC group were (41.54±9.61) and (42.32±10.65) years, respectively, without significant difference ( t=-0.254, P=0.801). The chronological age and estimated brain age in the pDoC group were (49.91±12.03) and (62.79±15.00) years, respectively, with significant difference ( t=-4.341, P<0.001). The BAG in the HC and pDoC groups were (0.78±4.59) and (12.88±7.17) years, respectively, with significant difference ( t=-7.822, P<0.001). Correlation analysis results showed that in the pDoC patients, no correlation was noted between BAG and CRS-R score on the day of imaging scan or 6 months after the day of imaging scan ( r=0.090, P=0.738; r=0.205, P=0.674); no correlation was noted between BAG and difference in CRS-R score (difference value of CRS-R score 6 months after the day of imaging scan-CRS-R score on the day of imaging scan, r=0.246, P=0.687). Conclusion:Compared with the HC subjects, patients with pDoC exhibit an abnormal increase in brain age, suggesting that pDoC caused by severe brain injury may lead to accelerated brain aging.

Objective:To investigate the differences in brain age and brain age gap (BAG) between patients with prolonged disorders of consciousness (pDoC) and healthy controls (HC).Methods:A retrospective cross-sectional study was performed; 43 patients with pDoC admitted to Rehabilitation Medicine Center, Zhujiang Hospital, Southern Medical University from January 2020 to October 2022 were enrolled; 26 healthy volunteers recruited at the same time and 187 healthy subjects from the publicly available healthy control dataset Nathan Kline Institute-Rockland Sample (NKI-RS) were chosen as HC group. The clinical and imaging data of these subjects were collected. A brain age estimation model was constructed based on amplitude of low-frequency fluctuation (ALFF) in resting-state functional magnetic resonance imaging (rs-fMRI) for healthy individuals, and the pDoC group was used as the test set. A two-sample t-test was used to compare the brain age and BAG differences between the pDoC group and HC group. Pearson correlation analysis was used to explore the correlation between BAG and coma recovery scale-revised (CRS-R) in the pDoC group. Results:The chronological age and estimated brain age in the HC group were (41.54±9.61) and (42.32±10.65) years, respectively, without significant difference ( t=-0.254, P=0.801). The chronological age and estimated brain age in the pDoC group were (49.91±12.03) and (62.79±15.00) years, respectively, with significant difference ( t=-4.341, P<0.001). The BAG in the HC and pDoC groups were (0.78±4.59) and (12.88±7.17) years, respectively, with significant difference ( t=-7.822, P<0.001). Correlation analysis results showed that in the pDoC patients, no correlation was noted between BAG and CRS-R score on the day of imaging scan or 6 months after the day of imaging scan ( r=0.090, P=0.738; r=0.205, P=0.674); no correlation was noted between BAG and difference in CRS-R score (difference value of CRS-R score 6 months after the day of imaging scan-CRS-R score on the day of imaging scan, r=0.246, P=0.687). Conclusion:Compared with the HC subjects, patients with pDoC exhibit an abnormal increase in brain age, suggesting that pDoC caused by severe brain injury may lead to accelerated brain aging.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Due to the specificity of radiopharmaceuticals for targeted α radionuclide therapy, such as radioactivity and radiation damage risk, it is necessary to estimate the internal radiation dose in preclinical evaluation to correctly evaluate the efficacy and safety of the drug, as well as in subsequent clinical studies. This review illustrates current research status of estimating internal radiation dose of targeted α radionuclide therapeutic radiopharmaceuticals based on preclinical studies, in order to add insights for understanding estimation of radiopharmaceuticals internal radiation dose and provide reference for the preclinical evaluation of radiopharmaceuticals.

Objective:To observe the effect of exercise-regulated miR-344g-5p on the fibrosis-related SMAD genes and transforming growth factor beta (TGF-β) in the myocardia of mice modeling diabetes.Methods:Twenty-four male C57BL/6 mice (6-8 weeks old) were randomly divided into a control group ( n=12) and a type 2 diabetes group ( n=12). Each group was further divided into two subgroups based on exercise status to form a sedentary control group, an exercise control, a sedentary type 2 diabetes group and an exercise type 2 diabetes group with six mice in each subgroup. The control groups were fed a normal diet, while the type 2 diabetes groups were on a high-fat diet for 12 weeks. Type 2 diabetes was then induced by intraperitoneal injection of streptozotocin. Two weeks later, the exercise groups began 40 minutes of daily swimming training, five days a week for eight consecutive weeks. Right after that, their cardiac function was measured using a small animal ultrasound system and the derived ejection fraction (EF) and the maximal early (E) and late (A) transmitral velocities ratio (E/A ratio) in diastole. They were then sacrificed and myocardial tissue was resected and stained with Sirius red. The expression of miR-344g-5p in the myocardium was detected using quantitative polymerase chain reactions. The expression of phosphorylated SMAD3 (p-SMAD3) and TGF-β were assessed using western blotting. The Target Scan database was exploited to analyze whether there were predicted targets of miR-344g-5p and pro-fibrotic genes such as SMAD3, TGFBR2, COL1A2 and COL12A1, and to determine any correlations in the gene regulation. Results:After 22 weeks, the EF and E/A ratio in the sedentary type 2 diabetes group were (57.5±4.1)% and (1.4±0.3), respectively, both significantly lower than in the other groups. Myocardial collagen fibers in the sedentary type 2 diabetes group were significantly more abundant than in the sedentary control and exercise type 2 diabetes groups. And miR-344g-5p expression in the myocardia of the exercise type 2 diabetes group was significantly greater than that in the sedentary type 2 diabetes group. The expression of p-SMAD3 and TGF-β in the myocardia of the sedentary type 2 diabetes group was significantly higher than in the sedentary control and exercise type 2 diabetes groups. Target Scan analysis revealed that miR-344g-5p had potential binding sites with several fibrosis-related genes such as SMAD3, TGFBR2, COL1A2, and COL12A1. Based on the reduction in TGF-β and p-SMAD protein expression in the exercise type 2 diabetes group, it was hypothesized that miR-344g-5p may inhibit the post-transcriptional processes of those genes.Conclusions:Exercise promotes the recovery of diabetic cardiomyopathy by upregulating myocardial miR-344g-5p expression, which subsequently targets and suppresses p-SMAD3 and TGF-β protein expression, thereby reducing diabetic myocardial fibrosis.

Objective:To investigate the clinical and genetic features of a Chinese pedigree with Progressive familial intrahepatic cholestasis (PFIC) and explore its genotype-phenotype correlation.Methods:A patient with PFIC diagnosed at Xinxiang Central Hospital in 2023 was selected as the study subject. The patient was subjected to abdominal magnetic resonance imaging (MRI) and painless gastroscopy. Peripheral blood samples were collected from the patient and his parents for the extraction of genomic DNA and trio-whole exome sequencing (trio-WES). Candidate variants were verified by Sanger sequencing. This study has been approved by the Medical Ethics Committee of Xinxiang Hospital (Ethics No. 2023-241).Results:MRI scan showed that the patient had significantly enlarged liver and spleen. WES revealed that he has harbored compound heterozygous variants of the ATP8B1 gene, including a c. 1710_1711insCCTC (p.A571Pfs*12) frameshifting variant in exon 16 and a c. 2989G>A (p.V997M) missense variant in exon 24, which were respectively inherited from his father and mother, and rated as pathogenic (PVS1+ PM2_Supporting+ PM3+ PP1) and likely pathogenic (PM2_Supporting+ PM3+ PP1) based on the guidelines from the American College of Medical Genetics and Genomics (ACMG). Conclusion:WES can clarify the genetic etiology of patients with speed and accuracy, and facilitate clinical decision-making. The detection of pathogenic variants has provided a basis for clinical diagnosis and enriched the mutational spectrum of the ATP8B1 gene.