1.Small Intestine Lipid Absorption and Health: The Improvement Effect of Exercise Under The Challenge of High-fat Diet
Wei-Huan WANG ; Yu-Xi DAI ; Yu-Xiu HE
Progress in Biochemistry and Biophysics 2025;52(6):1560-1573
		                        		
		                        			
		                        			The two core causes of obesity in modern lifestyle are high-fat diet (HFD) and insufficient physical activity. HFD can lead to disruption of gut microbiota and abnormal lipid metabolism, further exacerbating the process of obesity. The small intestine, as the “first checkpoint” for the digestion and absorption of dietary lipids into the body, plays a pivotal role in lipid metabolism. The small intestine is involved in the digestion, absorption, transport, and synthesis of dietary lipids. The absorption of lipids in the small intestine is a crucial step, as overactive absorption leads to a large amount of lipids entering the bloodstream, which affects the occurrence of obesity. HFD can lead to insulin resistance, disruption of gut microbiota, and inflammatory response in the body, which can further induce lipid absorption and metabolism disorders in the small intestine, thereby promoting the occurrence of chronic metabolic diseases such as obesity. Long term HFD can accelerate pathological structural remodeling and lipid absorption dysfunction of the small intestine: after high-fat diet, the small intestine becomes longer and heavier, with excessive villi elongation and microvilli elongation, thereby increasing the surface area of lipid absorption and causing lipid overload in the small intestine. In addition, overexpression of small intestine uptake transporters, intestinal mucosal damage induced “intestinal leakage”, dysbiosis of intestinal microbiota, ultimately leading to abnormal lipid absorption and chronic inflammation, accelerating lipid accumulation and obesity. Exercise, as one of the important means of simple, economical, and effective proactive health interventions, has always been highly regarded for its role in improving lipid metabolism homeostasis. The effect of exercise on small intestine lipid absorption shows a dose-dependent effect. Moderate to low-intensity aerobic exercise can improve the intestinal microenvironment, regulate the structure and lipid absorption function of the small intestine, promote lipid metabolism and health, while vigorous exercise, excessive exercise, and long-term high-intensity training can cause intestinal discomfort, leading to the destruction of intestinal structure and related symptoms, affecting lipid absorption. Long term regular exercise can regulate the diversity of intestinal microbiota, inhibit inflammatory signal transduction such as NF-κB, enhance intestinal mucosal barrier function, and improve intestinal lipid metabolism disorders, further enhancing the process of small intestinal lipid absorption. Exercise also participates in the remodeling process of small intestinal epithelial cells, regulating epithelial structural homeostasis by activating cell proliferation related pathways such as Wnt/β-catenin. Exercise can regulate the expression of lipid transport proteins CD36, FATP, and NPC1L1, and regulate the function of small intestine lipid absorption. However, the research on the effects of long-term exercise on small intestine structure, villus structure, absorption surface area, and lipid absorption related proteins is not systematic enough, the results are inconsistent, and the relevant mechanisms are not clear. In the future, experimental research can be conducted on the dose-response relationship of different intensities and forms of exercise, exploring the mechanisms of exercise improving small intestine lipid absorption and providing theoretical reference for scientific weight loss. It should be noted that the intestine is an organ that is sensitive to exercise response. How to determine the appropriate range, threshold, and form of exercise intensity to ensure beneficial regulation of intestinal lipid metabolism induced by exercise should become an important research direction in the future. 
		                        		
		                        		
		                        		
		                        	
2.Efficacy of typeⅡ hybrid surgery versus Sun’s surgery in the treatment of acute Stanford type A aortic dissection: A retrospective cohort study in a single center
Jie WANG ; Wei WU ; Long CHENG ; Feifei TANG ; Shilin DAI ; Yuqiang SHANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(05):663-669
		                        		
		                        			
		                        			Objective To compare the clinical efficacy of typeⅡhybrid surgery versus Sun’s surgery in treating acute Stanford A aortic dissection. Methods A retrospective analysis was conducted on the clinical data of patients with acute Stanford A aortic dissection who were treated at the Central Hospital of Wuhan affiliated to Tongji Medical College, Huazhong University of Science and Technology from 2016 to 2022. According to the surgical method, patients were divided into a typeⅡhybrid group and a Sun’s surgery group, and the clinical efficacy of the two groups was compared. Results A total of 52 patients were included, with 22 in the typeⅡhybrid surgery group and 30 in the Sun’s surgery group. The typeⅡhybrid group consisted of 18 males and 4 females, with an average age of (58.18±6.00) years, while the Sun’s surgery group consisted of 22 males and 8 females, with an average age of (53.03±11.89) years. All surgeries were successfully completed. There were 4 (13.3%) perioperative deaths in the Sun’s surgery group, including 2 patients of multiple organ failure, 1 patient of paraplegia, and 1 patient of uncontrollable postoperative bleeding. There was 1 (4.5%) perioperative death in the typeⅡhybrid surgery group, who was suspected of acute coronary syndrome and took a loading dose of dual antiplatelet drugs preoperatively. The patient underwent secondary thoracotomy for hemostasis, was re-cannulated during the operation, and finally died of circulatory failure after implantation of intra-aortic balloon pumping. There was no statistical difference in perioperative mortality between the two groups (P=0.381). Compared with the Sun’s surgery group, the typeⅡhybrid surgery group had shorter cardiopulmonary bypass time [153.00 (135.00, 185.25) min vs. 182.50 (166.50, 196.75) min, P=0.013], aortic cross-clamping time [77.00 (70.50, 92.00) min vs. 102.50 (93.50, 109.75) min, P<0.001], postoperative ICU stay [4.00 (2.83, 6.00) days vs. 8.00 (6.38, 11.78) days, P<0.001], postoperative ventilator support time [72.00 (29.50, 93.25) h vs. 87.65 (39.13, 139.13) h, P=0.138], less intraoperative blood loss [(1586.82±209.41) mL vs. (1 806.00±292.62) mL, P=0.004], postoperative 24 h drainage volume [612.50 (507.50, 762.50) mL vs. 687.50 (518.75, 993.75) mL, P=0.409], and shorter postoperative hospital stay [18.00 (13.00, 20.25) days vs. 22.00 (17.00, 29.25) days, P=0.013]. There was no statistically significant difference in the incidence of other early postoperative complications such as secondary thoracotomy for hemostasis, tracheotomy, renal dysfunction requiring dialysis, stroke, and paraplegia between the two groups (P>0.05). Conclusion For patients with acute Stanford A aortic dissection, typeⅡhybrid surgery is safe and effective; compared with traditional Sun’s surgery, typeⅡhybrid surgery has relatively less trauma, lower incidence of complications, satisfactory short-term results, and further research is needed on long-term prognosis.
		                        		
		                        		
		                        		
		                        	
3.Exercise Improves Metaflammation: The Potential Regulatory Role of BDNF
Yu-Xi DAI ; Wei-Huan WANG ; Yu-Xiu HE
Progress in Biochemistry and Biophysics 2025;52(9):2314-2331
		                        		
		                        			
		                        			Metaflammation is a crucial mechanism in the onset and advancement of metabolic disorders, primarily defined by the activation of immune cells and increased concentrations of pro-inflammatory substances. The function of brain-derived neurotrophic factor (BDNF) in modulating immune and metabolic processes has garnered heightened interest, as BDNF suppresses glial cell activation and orchestrates inflammatory responses in the central nervous system via its receptor tyrosine kinase receptor B (TrkB), while also diminishing local inflammation in peripheral tissues by influencing macrophage polarization. Exercise, as a non-pharmacological intervention, is extensively employed to enhance metabolic disorders. A crucial mechanism underlying its efficacy is the significant induction of BDNF expression in central (hypothalamus, hippocampus, prefrontal cortex, and brainstem) and peripheral (liver, adipose tissue, intestines, and skeletal muscle) tissues and organs. This induction subsequently regulates inflammatory responses, ameliorates metabolic conditions, and decelerates disease progression. Consequently, BDNF is considered a pivotal molecule in the motor-metabolic regulation axis. Despite prior suggestions that BDNF may have a role in the regulation of exercise-induced inflammation, systematic data remains inadequate. Since that time, the field continues to lack structured descriptions and conversations pertinent to it. As exercise physiology research has advanced, the academic community has increasingly recognized that exercise is a multifaceted activity regulated by various systems, with its effects contingent upon the interplay of elements such as type, intensity, and frequency of exercise. Consequently, it is imperative to transcend the prior study paradigm that concentrated solely on localized effects and singular mechanisms and transition towards a comprehensive understanding of the systemic advantages of exercise. A multitude of investigations has validated that exercise confers health advantages for individuals with metabolic disorders, encompassing youngsters, adolescents, middle-aged individuals, and older persons, and typically enhances health via BDNF secretion. However, exercise is a double-edged sword; the relationship between exercise and health is not linearly positive. Insufficient exercise is ineffective, while excessive exercise can be detrimental to health. Consequently, it is crucial to scientifically develop exercise prescriptions, define appropriate exercise loads, and optimize health benefits to regulate bodily metabolism. BDNF mitigates metaflammation via many pathways during exercise. Initially, BDNF suppresses pro-inflammatory factors and facilitates the production of anti-inflammatory factors by modulating bidirectional transmission between neural and immune cells, therefore diminishing the inflammatory response. Secondly, exercise stimulates the PI3K/Akt, AMPK, and other signaling pathways via BDNF, enhancing insulin sensitivity, reducing lipotoxicity, and fostering mitochondrial production, so further optimizing the body’s metabolic condition. Moreover, exercise-induced BDNF contributes to the attenuation of systemic inflammation by collaborating with several organs, enhancing hepatic antioxidant capacity, regulating immunological response, and optimizing “gut-brain” axis functionality. These processes underscore the efficacy of exercise as a non-pharmacological intervention for enhancing anti-inflammatory and metabolic health. Despite substantial experimental evidence demonstrating the efficacy of exercise in mitigating inflammation and enhancing BDNF levels, numerous limitations persist in the existing studies. Primarily, the majority of studies have concentrated on molecular biology and lack causal experimental evidence that explicitly confirms BDNF as a crucial mediator in the exercise regulation of metaflammation. Furthermore, the outcomes of current molecular investigations are inadequately applicable to clinical practice, and a definitive pathway of “exercise-BDNF-metaflammation” remains unestablished. Moreover, the existing research methodology, reliant on animal models or limited human subject samples, constrains the broad dissemination of the findings. Future research should progressively transition from investigating isolated and localized pathways to a comprehensive multilevel and multidimensional framework that incorporates systems biology and exercise physiology. Practically, there is an immediate necessity to undertake extensive, double-blind, randomized controlled longitudinal human studies utilizing multi-omics technologies (e.g., transcriptomics, proteomics, and metabolomics) to investigate the principal signaling pathways of BDNF-mediated metaflammation and to elucidate the causal relationships and molecular mechanisms involved. Establishing a more comprehensive scientific evidence system aims to furnish a robust theoretical framework and practical guidance for the mechanistic interpretation, clinical application, and pharmaceutical development of exercise in the prevention and treatment of metabolic diseases. 
		                        		
		                        		
		                        		
		                        	
4.tRF Prospect: tRNA-derived Fragment Target Prediction Based on Neural Network Learning
Dai-Xi REN ; Jian-Yong YI ; Yong-Zhen MO ; Mei YANG ; Wei XIONG ; Zhao-Yang ZENG ; Lei SHI
Progress in Biochemistry and Biophysics 2025;52(9):2428-2438
		                        		
		                        			
		                        			ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis. 
		                        		
		                        		
		                        		
		                        	
5.A prediction model for high-risk cardiovascular disease among residents aged 35 to 75 years
ZHOU Guoying ; XING Lili ; SU Ying ; LIU Hongjie ; LIU He ; WANG Di ; XUE Jinfeng ; DAI Wei ; WANG Jing ; YANG Xinghua
Journal of Preventive Medicine 2025;37(1):12-16
		                        		
		                        			Objective:
		                        			To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures.
		                        		
		                        			Methods:
		                        			Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve.
		                        		
		                        			Results:
		                        			A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination.
		                        		
		                        			Conclusion
		                        			The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.
		                        		
		                        		
		                        		
		                        	
6.Effects of pirfenidone on myocardial fibrosis and TGF-β/SMAD pathway in mice with radiation-induced heart damage
Chinese Journal of Radiological Health 2025;34(1):21-27
		                        		
		                        			
		                        			Objective To establish a model of radiation-induced myocardial fibrosis in mice, and study the effect of TGF-β/SMAD pathway on radiation-induced myocardial fibrosis in mice and the protective effect of pirfenidone capsules (PFD) on radiation-induced myocardial fibrosis. Methods Male C57BL/6J mice were randomly divided into control group, irradiation group, and drug intervention groups (low-dose PFD + irradiation group and high-dose PFD + irradiation group). After radiation exposure, the control group and the irradiation group were given sodium carboxymethyl cellulose by gavage, while the low-dose PFD + irradiation group and the high-dose PFD + irradiation group were given PFD at 150 and 300 mg/kg daily by gavage for 12 consecutive weeks, respectively. The body weights of mice were measured and recorded weekly. The pathological changes of heart tissues in mice were observed by H&E and Masson’s trichrome staining. The expression levels of TGF-β, SMAD2, and SMAD3 mRNAs in mouse heart tissues were detected by RT-PCR. The expression levels of TGF-β, SMAD2, and SMAD3 proteins in mouse heart tissues were detected by Western blot. The expression levels of CK and CK-MB in mouse heart tissues were detected by blood biochemical tests. Results H&E and Masson’s trichrome staining showed severe myocardial fibrosis in the irradiation group compared with the control group. Compared with the irradiation group, the two groups with drug intervention showed reduced heart disease and myocardial fibrosis. RT-PCR and Western blot showed that the expression levels of TGF-β, SMAD2, and SMAD3 were up-regulated in the irradiation group compared with the other three groups (P < 0.05). The expression levels of TGF-β, SMAD2, and SMAD3 were down-regulated in the two groups treated with PFD compared with the irradiation group (P < 0.05). The expression levels of CK and CK-MB in mouse heart tissues were down-regulated in the two groups treated with PFD compared to irradiation group (P < 0.05). Conclusion Radiation has long-term effects on normal heart tissue, causing myocardial damage and promoting myocardial fibrosis. The up-regulation of TGF-β/SMAD pathway is related to the formation of radiation-induced myocardial fibrosis. PFD can mitigate the progression of myocardial fibrosis and protect heart tissue by down-regulating TGF-β/SMAD pathway.
		                        		
		                        		
		                        		
		                        	
7.Validation of retinoblastoma mouse model based on fluorescence imaging technology
Cailing DAI ; Wei YANG ; Limei WANG ; Jinlong DAI ; Yuying WEN ; Jianmin GUO
International Eye Science 2025;25(5):706-713
		                        		
		                        			
		                        			 AIM: To provide references for the non-clinical evaluation of therapeutic targets or drugs for retinoblastoma, fluorescently labeled Y79 cells are injected into the vitreous body of BALB/c-nu mice to establish a retinoblastoma model, and the Melphalan treatment group is used as a positive control, which is verified by fluorescence imaging technology.METHODS: BALB/c-nu mice were intravitreous injected with GFP transfected Y79 cells(1.0×107 cell/mL, 3 μL)to establish the model. On the 27th day, the mice were randomly divided into model control group and different doses of Melphalan groups(1, 3, 10 μg/eye groups)according to the fluorescence value of in vivo imaging, with vitreous body single administrated and ocular symptoms observed daily. Slit-lamp examination was performed at 12, 20, 29, 35, 42, 48, 55, 76, and 83 d after modeling. In vivo imaging was performed on 12, 20, 27, 41, 48, 55, 62, 69, 76, and 83 d. At the last treatment, the eyeball, brain and cerebellum tissues were removed for histopathological examination.RESULTS: From the sixth day of modeling, cloud-like substances could be seen in the eyes of the animals, and the cloud-like substances occupied the whole eyeball of the mice in the model control group at the later stage, accompanied by irregular growth of blood vessels. After 27 days of modeling, the fluorescence value was detected in all the animals, and the fluorescence value continued to increase with the extension of modeling time. The fluorescence value of the tumor reached the peak after 69-83 days of modeling. Histological examination showed severe proliferation of intraocular tumor cells in the model control group, and tumor cells were observed in the brain of 1 model animal. In the 10 μg/eye Melphalan group, the fluorescence value was significantly decreased at 17 d after administration. The fluorescence value of the 3 μg/eye Melphalan group was significantly inhibited at 59 d after administration. No tumor cells were found in the brain tissue of animals in all Melphalan groups.CONCLUSION: After vitreous injection of Y79/pCDH-LUC-copGFP cells in BALB/c-nu mice, significant ocular lesions and proliferation of tumor cells were observed in the eyes. Meanwhile, Melphalan intervention significantly inhibited tumor cells in a dose-dependent manner, indicating that the mouse model of retinoblastoma was successfully constructed. 
		                        		
		                        		
		                        		
		                        	
8.En Bloc Resection of Thoracic and Upper Lumbar Spinal Tumors Using a Novel Rotation-Reversion Technique through Posterior-Only Approach
Ming LU ; Changhe HOU ; Wei CHEN ; Zixiong LEI ; Shuangwu DAI ; Shaohua DU ; Qinglin JIN ; Dadi JIN ; Haomiao LI
Clinics in Orthopedic Surgery 2025;17(2):346-353
		                        		
		                        			 Background:
		                        			En bloc resection is recommended for the treatment of malignant and aggressive benign spinal tumors; however, it often requires a combined anterior-posterior approach, which is usually accompanied by longer surgical duration, increased blood loss, larger trauma, and surgical complexity. The present study describes a novel rotation-reversion technique for en bloc resection of the thoracic and upper lumbar spinal tumors using a posterior-only approach and evaluate its safety and efficacy. 
		                        		
		                        			Methods:
		                        			Thirteen patients with thoracic and upper lumbar (L1-L3) spinal tumors were treated with en bloc resection using the rotation-reversion technique through a posterior-only approach at our institution between 2015 and 2023. The clinical characteristics and surgical results of the patients were reviewed and analyzed. 
		                        		
		                        			Results:
		                        			Posterior-only en bloc resection was performed successfully in all 13 patients using the rotation-reversion technique, with a median follow-up of 30.4 months (range, 6–74 months). The average maximum size of these 13 tumors was 5.7 × 5.8 × 4.8 cm.The mean operation time and blood loss were 458.5 minutes (range, 220–880 minutes) and 3,146.2 mL (range, 1,000–6,000 mL), respectively, with 4 of the 13 patients (30.8%) experiencing perioperative complications. Negative margins were achieved in all the 13 patients (100%). One patient experienced local recurrence (7.7%) and 1 patient experienced instrumentation failures. Interbody fusion was confirmed in 11 of the 13 patients (84.6%), with a median fusion time of 6.9 months. All of the 13 patients experienced varying degrees of mild postoperative neurological deficits owing to resection of the nerve roots affected by tumor invasion of the vertebrae. No vessel injury or postoperative neurological paralysis occurred, except 1 patient who had been completely paralyzed before surgery. 
		                        		
		                        			Conclusions
		                        			The rotation-reversion technique is an effective procedure for en bloc resection of selected thoracic and upper lumbar spinal tumors through the posterior-only approach. 
		                        		
		                        		
		                        		
		                        	
9.Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)
Chuan LIU ; Hong YOU ; Qing-Lei ZENG ; Yu Jun WONG ; Bingqiong WANG ; Ivica GRGUREVIC ; Chenghai LIU ; Hyung Joon YIM ; Wei GOU ; Bingtian DONG ; Shenghong JU ; Yanan GUO ; Qian YU ; Masashi HIROOKA ; Hirayuki ENOMOTO ; Amr Shaaban HANAFY ; Zhujun CAO ; Xiemin DONG ; Jing LV ; Tae Hyung KIM ; Yohei KOIZUMI ; Yoichi HIASA ; Takashi NISHIMURA ; Hiroko IIJIMA ; Chuanjun XU ; Erhei DAI ; Xiaoling LAN ; Changxiang LAI ; Shirong LIU ; Fang WANG ; Ying GUO ; Jiaojian LV ; Liting ZHANG ; Yuqing WANG ; Qing XIE ; Chuxiao SHAO ; Zhensheng LIU ; Federico RAVAIOLI ; Antonio COLECCHIA ; Jie LI ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(1):105-118
		                        		
		                        			 Background:
		                        			s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. 
		                        		
		                        			Methods:
		                        			Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. 
		                        		
		                        			Results:
		                        			In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). 
		                        		
		                        			Conclusions
		                        			Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model. 
		                        		
		                        		
		                        		
		                        	
10.En Bloc Resection of Thoracic and Upper Lumbar Spinal Tumors Using a Novel Rotation-Reversion Technique through Posterior-Only Approach
Ming LU ; Changhe HOU ; Wei CHEN ; Zixiong LEI ; Shuangwu DAI ; Shaohua DU ; Qinglin JIN ; Dadi JIN ; Haomiao LI
Clinics in Orthopedic Surgery 2025;17(2):346-353
		                        		
		                        			 Background:
		                        			En bloc resection is recommended for the treatment of malignant and aggressive benign spinal tumors; however, it often requires a combined anterior-posterior approach, which is usually accompanied by longer surgical duration, increased blood loss, larger trauma, and surgical complexity. The present study describes a novel rotation-reversion technique for en bloc resection of the thoracic and upper lumbar spinal tumors using a posterior-only approach and evaluate its safety and efficacy. 
		                        		
		                        			Methods:
		                        			Thirteen patients with thoracic and upper lumbar (L1-L3) spinal tumors were treated with en bloc resection using the rotation-reversion technique through a posterior-only approach at our institution between 2015 and 2023. The clinical characteristics and surgical results of the patients were reviewed and analyzed. 
		                        		
		                        			Results:
		                        			Posterior-only en bloc resection was performed successfully in all 13 patients using the rotation-reversion technique, with a median follow-up of 30.4 months (range, 6–74 months). The average maximum size of these 13 tumors was 5.7 × 5.8 × 4.8 cm.The mean operation time and blood loss were 458.5 minutes (range, 220–880 minutes) and 3,146.2 mL (range, 1,000–6,000 mL), respectively, with 4 of the 13 patients (30.8%) experiencing perioperative complications. Negative margins were achieved in all the 13 patients (100%). One patient experienced local recurrence (7.7%) and 1 patient experienced instrumentation failures. Interbody fusion was confirmed in 11 of the 13 patients (84.6%), with a median fusion time of 6.9 months. All of the 13 patients experienced varying degrees of mild postoperative neurological deficits owing to resection of the nerve roots affected by tumor invasion of the vertebrae. No vessel injury or postoperative neurological paralysis occurred, except 1 patient who had been completely paralyzed before surgery. 
		                        		
		                        			Conclusions
		                        			The rotation-reversion technique is an effective procedure for en bloc resection of selected thoracic and upper lumbar spinal tumors through the posterior-only approach. 
		                        		
		                        		
		                        		
		                        	
            

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