1.Nomogram clinical prediction model for severe perioperative complications of hepatic resection for hepatolithiasis based on the albumin-bilirubin score
Ming CAO ; Haoran SUN ; Zhangliu JIN ; Bin ZHANG ; Lei WANG
Acta Universitatis Medicinalis Anhui 2026;61(3):569-575
ObjectiveTo develop and validate a nomogram based on the albumin-bilirubin (ALBI) score for predicting the risk of severe perioperative complications in patients undergoing hepatectomy for hepatolithiasis. MethodsA retrospective analysis was conducted on the clinical data of 163 hepatolithiasis patients who underwent hepatectomy. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for severe perioperative complications. A nomogram prediction model was constructed and its performance was evaluated. ResultsAmong the 163 patients, 66 and 97 were classified into the low-grade and high-grade ALBI groups, respectively. Significant intergroup differences were observed in gender, total bilirubin, albumin levels, and the incidence of severe complications (P0.05). Severe complications occurred in 40 patients. Independent risk factors included age 60 years (OR=5.49, P0.001), high-grade ALBI (OR=8.30, P0.001), history of biliary surgery (OR=2.60, P=0.035), hepatectomy (segmentectomy)≥3 (OR=2.75, P=0.028), and open surgical approach (OR=4.00, P=0.009). A nomogram for predicting severe perioperative complications was successfully established. Internal validation showed that the model had an area under the ROC curve (AUC) of 0.865, which outperformed traditional single predictors. The calibration curve closely aligned with the ideal curve, with a mean absolute error (MAE) of 0.027. Decision curve analysis (DCA) demonstrated a net clinical benefit when the threshold probability exceeded 10%, superior to that of traditional predictors. ConclusionThe ALBI score-based nomogram is successfully developed and validated to predict the risk of severe perioperative complications in hepatolithiasis patients undergoing hepatectomy. The model demonstrated favorable predictive performance and high clinical utility, serving as an effective tool for both preoperative risk assessment and postoperative risk stratification.
2.Effects of light color on serum reproductive hormones and reproductive perform-ance of Fujian white rabbits
Dongjin CHEN ; Shikun SUN ; Lei SANG ; Chengfang GAO ; Jinxiang WANG ; Jie ZHANG ; Ming LIU ; Xiping XIE
Chinese Journal of Veterinary Science 2025;45(8):1776-1783
Healthy female rabbits aged 3.5 to 4.0 months were randomly divided into four groups:the white light group(control group A),the green light group(treatment group B),the red light group(treatment group C)and the blue light group(treatment group D)with 3 replicates in each group,and 12 rabbits in each replicate.The light intensity was set to 80 lx,and the light was 16 h per day for 6 days before artificial insemination.Three reproductive cycles were carried out to de-termine the reproductive performance of female rabbits under different light colors,such as the number of fetuses,total litter size,weaning litter weight and serum reproductive hormone content.The results showed that,according to the comprehensive statistics of three breeding cycles:(1)the melatonin levels in the green group and red group were significantly lower than those in white group(P<0.01),and the green group was significantly lower than the blue group(P<0.05);the levels of luteinizing hormone in green group and red group were significantly higher than those in white group(P<0.01);the follicle stimulating hormone in the green group was significantly high-er than in white group(P<0.05);the estradiol content in the green group was significantly higher than that in the white group and blue group(P<0.01),and significantly higher than that in the red group(P<0.05).(2)the conception rate of the group was significantly higher than that of the white group(P<0.01),and significantly higher than that of the red group and blue group(P<0.05).(3)the number of rabbits in the green group at 30 days of age was significantly higher than that in the red group and the blue group(P<0.05),and the litter weight at 30 days of age was significantly higher than that in the red group and the blue group(P<0.01),and significantly higher than that in the white group(P<0.05).In conclusion,the LED light belt is controlled by a dynamic light control system,the light intensity is set to 80 lx,and the light is 16 h a day for 6 d before artificial insemination.Green light can reduce the serum melatonin of Fujian white rabbits,which has the best comprehensive effect on the same period of conception rate and reproductive performance of Fujian white rabbits.
3.Clinical Features, Prognostic Analysis and Predictive Model Construction of Central Nervous System Invasion in Peripheral T-Cell Lymphoma.
Ya-Ting MA ; Yan-Fang CHEN ; Zhi-Yuan ZHOU ; Lei ZHANG ; Xin LI ; Xin-Hua WANG ; Xiao-Rui FU ; Zhen-Chang SUN ; Yu CHANG ; Fei-Fei NAN ; Ling LI ; Ming-Zhi ZHANG
Journal of Experimental Hematology 2025;33(3):760-768
OBJECTIVE:
To investigate the clinical features and prognosis of central nervous system (CNS) invasion in peripheral T-cell lymphoma (PTCL) and construct a risk prediction model for CNS invasion.
METHODS:
Clinical data of 395 patients with PTCL diagnosed and treated in the First Affiliated Hospital of Zhengzhou University from 1st January 2013 to 31st December 2022 were analyzed retrospectively.
RESULTS:
The median follow-up time of 395 PTCL patients was 24(1-143) months. There were 13 patients diagnosed CNS invasion, and the incidence was 3.3%. The risk of CNS invasion varied according to pathological subtype. The incidence of CNS invasion in patients with anaplastic large cell lymphoma (ALCL) was significantly higher than in patients with angioimmunoblastic T-cell lymphoma (AITL) (P <0.05). The median overall survival was significantly shorter in patients with CNS invasion than in those without CNS involvement, with a median survival time of 2.4(0.6-127) months after diagnosis of CNS invasion. The results of univariate and multivariate analysis showed that more than 1 extranodal involvement (HR=4.486, 95%CI : 1.166-17.264, P =0.029), ALCL subtype (HR=9.022, 95%CI : 2.289-35.557, P =0.002) and ECOG PS >1 (HR=15.890, 95%CI : 4.409-57.262, P <0.001) were independent risk factors for CNS invasion in PTCL patients. Each of these risk factors was assigned a value of 1 point and a new prediction model was constructed. It could stratify the patients into three distinct groups: low-risk group (0-1 point), intermediate-risk group (2 points) and high-risk group (3 points). The 1-year cumulative incidence of CNS invasion in the high-risk group was as high as 50.0%. Further evaluation of the model showed good discrimination and accuracy, and the consistency index was 0.913 (95%CI : 0.843-0.984).
CONCLUSION
The new model shows a precise risk assessment for CNS invasion prediction, while its specificity and sensitivity need further data validation.
Humans
;
Lymphoma, T-Cell, Peripheral/pathology*
;
Prognosis
;
Retrospective Studies
;
Central Nervous System Neoplasms/pathology*
;
Neoplasm Invasiveness
;
Male
;
Female
;
Central Nervous System/pathology*
;
Middle Aged
;
Adult
4.Expert consensus on prognostic evaluation of cochlear implantation in hereditary hearing loss.
Xinyu SHI ; Xianbao CAO ; Renjie CHAI ; Suijun CHEN ; Juan FENG ; Ningyu FENG ; Xia GAO ; Lulu GUO ; Yuhe LIU ; Ling LU ; Lingyun MEI ; Xiaoyun QIAN ; Dongdong REN ; Haibo SHI ; Duoduo TAO ; Qin WANG ; Zhaoyan WANG ; Shuo WANG ; Wei WANG ; Ming XIA ; Hao XIONG ; Baicheng XU ; Kai XU ; Lei XU ; Hua YANG ; Jun YANG ; Pingli YANG ; Wei YUAN ; Dingjun ZHA ; Chunming ZHANG ; Hongzheng ZHANG ; Juan ZHANG ; Tianhong ZHANG ; Wenqi ZUO ; Wenyan LI ; Yongyi YUAN ; Jie ZHANG ; Yu ZHAO ; Fang ZHENG ; Yu SUN
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(9):798-808
Hearing loss is the most prevalent disabling disease. Cochlear implantation(CI) serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system(Favorable, Marginal, Poor). The consensus focuses on common hereditary non-syndromic hearing loss(such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1) and syndromic hereditary hearing loss(such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome), which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans
;
Cochlear Implantation
;
Prognosis
;
Hearing Loss/surgery*
;
Consensus
;
Connexin 26
;
Mutation
;
Sulfate Transporters
;
Connexins/genetics*
5.The application of surgical robots in head and neck tumors.
Xiaoming HUANG ; Qingqing HE ; Dan WANG ; Jiqi YAN ; Yu WANG ; Xuekui LIU ; Chuanming ZHENG ; Yan XU ; Yanxia BAI ; Chao LI ; Ronghao SUN ; Xudong WANG ; Mingliang XIANG ; Yan WANG ; Xiang LU ; Lei TAO ; Ming SONG ; Qinlong LIANG ; Xiaomeng ZHANG ; Yuan HU ; Renhui CHEN ; Zhaohui LIU ; Faya LIANG ; Ping HAN
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(11):1001-1008
6.Astrocyte FGF7/FGFR2 autocrine signaling mediates neuroinflammation and promotes MPTP-induced degeneration of dopaminergic neurons.
Xin SUN ; Yueping WANG ; Yajie ZHANG ; Ruixue HAN ; Min WANG ; Jing ZHANG ; Ting SUN ; Yang LIU ; Gang HU ; Lei CAO ; Ming LU
Acta Pharmaceutica Sinica B 2025;15(9):4730-4750
Reactive astrocytes, which exhibit a correlation with the degeneration of dopaminergic neurons, are present in a considerable number during the progression of Parkinson's disease (PD). However, the underlying factors shaping astrocyte reactivity and neuroinflammation in PD remain inadequately elucidated. Here, we demonstrate that fibroblast growth factor 7 (FGF7)/FGF receptor 2 (FGFR2) autocrine signaling intensifies astrocyte reactivity and inflammation. Genetic deletion of Arrb2, β-Arrestin2 encoding gene, led to escalated astrocyte reactivity in MPTP-treated mice, which was further substantiated in astrocyte-specific Arrb2 knockdown mice. RNA sequencing profiling of Arrb2 knockout astrocytes identified Fgf7 as a critical effector of astrocyte reactivity. Subsequently, conditional knockdown of Fgf7 and its receptor Fgfr2 in astrocytes elicited advantageous effects for MPTP-treated mice by restraining the inflammatory phenotypic transition of reactive astrocytes. Furthermore, deletion of astrocytic Fgf7 mitigated MPTP-induced pathology in Arrb2 knockout mice. Mechanistically, STAT1 was distinguished as the transcription factor suppressing Fgf7 expression, while β-Arrestin2 counteracted the proteasomal degradation of STAT1 by binding to RNF220, an E3 ubiquitin ligase for STAT1. More importantly, selectively engaging dopamine D2 receptor (Drd2)/β-Arrestin2-biased signaling using the agonist UNC9995 exhibited therapeutic potential in MPTP-treated mice via moderation of astrocytic FGF7 production, thereby restoring balance in astrocyte reactivity. Collectively, our study bridges a crucial knowledge gap by elucidating the novel functions of FGF family members within the central nervous system, particularly within the context of PD. The autocrine signaling of FGF7/FGFR2 represents a novel mechanism and a potential druggable target for modulating astrocyte-derived inflammation.
7.Expert consensus on management of instrument separation in root canal therapy.
Yi FAN ; Yuan GAO ; Xiangzhu WANG ; Bing FAN ; Zhi CHEN ; Qing YU ; Ming XUE ; Xiaoyan WANG ; Zhengwei HUANG ; Deqin YANG ; Zhengmei LIN ; Yihuai PAN ; Jin ZHAO ; Jinhua YU ; Zhuo CHEN ; Sijing XIE ; He YUAN ; Kehua QUE ; Shuang PAN ; Xiaojing HUANG ; Jun LUO ; Xiuping MENG ; Jin ZHANG ; Yi DU ; Lei ZHANG ; Hong LI ; Wenxia CHEN ; Jiayuan WU ; Xin XU ; Jing ZOU ; Jiyao LI ; Dingming HUANG ; Lei CHENG ; Tiemei WANG ; Benxiang HOU ; Xuedong ZHOU
International Journal of Oral Science 2025;17(1):46-46
Instrument separation is a critical complication during root canal therapy, impacting treatment success and long-term tooth preservation. The etiology of instrument separation is multifactorial, involving the intricate anatomy of the root canal system, instrument-related factors, and instrumentation techniques. Instrument separation can hinder thorough cleaning, shaping, and obturation of the root canal, posing challenges to successful treatment outcomes. Although retrieval of separated instrument is often feasible, it carries risks including perforation, excessive removal of tooth structure and root fractures. Effective management of separated instruments requires a comprehensive understanding of the contributing factors, meticulous preoperative assessment, and precise evaluation of the retrieval difficulty. The application of appropriate retrieval techniques is essential to minimize complications and optimize clinical outcomes. The current manuscript provides a framework for understanding the causes, risk factors, and clinical management principles of instrument separation. By integrating effective strategies, endodontists can enhance decision-making, improve endodontic treatment success and ensure the preservation of natural dentition.
Humans
;
Root Canal Therapy/adverse effects*
;
Consensus
;
Root Canal Preparation/adverse effects*
8.Lingguizhugan Decoction improves chronic heart failure by synergistically modulating ?1-AR/Gs/GRKs/?-arrestin signaling bias.
Shuting GUO ; Lei XIA ; Songru YANG ; Yueyang LIANG ; Xiaoli SHAN ; Pei ZHAO ; Wei GUO ; Chen ZHANG ; Ming XU ; Ning SUN ; Rong LU ; Huihua CHEN
Chinese Journal of Natural Medicines (English Ed.) 2025;23(5):560-571
Lingguizhugan Decoction (LGZG) demonstrates significant efficacy in treating various cardiovascular diseases clinically, yet its precise mechanism of action remains elusive. This study aimed to elucidate the potential mechanisms and effects of LGZG on isoproterenol (ISO) continuous stimulation-induced chronic heart failure (CHF) in mice, providing direct experimental evidence for further clinical applications. In vivo, continuous ISO infusion was administered to mice, and ventricular myocytes were utilized to explore LGZG?s potential mechanism of action on the ?1-adrenergic receptor (?1-AR)/Gs/G protein-coupled receptor kinases (GRKs)/?-arrestin signaling deflection system in the heart. The findings reveal that LGZG significantly reduced the messenger ribonucleic acid (mRNA) expression of hypertrophy-related biomarkers [atrial natriuretic peptide (ANP) and B-type natriuretic peptide (BNP)] and improved cardiac remodeling and left ventricular diastolic function in mice with ISO-induced CHF. Furthermore, LGZG inhibited the overactivation of Gs/cyclic adenosine monophosphate (cAMP)/protein kinase A (PKA) signaling and downregulated the downstream transcriptional activity of cAMP-response element binding protein (CREB) and the expression of the coactivator CBP/P300. Notably, LGZG downregulated the expression of ?-arrestin1 and GRK 2/3/5 while upregulating the expression of ?1-AR and ?-arrestin2. These results suggest that LGZG inhibits Gs/cAMP/PKA signaling and ?-arrestin/GRK-mediated desensitization and internalization of ?1-AR, potentially exerting cardioprotective effects through the synergistic regulation of the ?1-AR/Gs/GRKs/?-arrestin signaling deflection system via multiple pathways.
Animals
;
Heart Failure/genetics*
;
Signal Transduction/drug effects*
;
Drugs, Chinese Herbal/pharmacology*
;
Mice
;
Male
;
G-Protein-Coupled Receptor Kinases/genetics*
;
Mice, Inbred C57BL
;
Humans
;
Isoproterenol
;
Arrestins/genetics*
;
Chronic Disease
9.Associations between Red Cell Indices and Cerebral Blood Flow Velocity in High Altitude.
Hao Lun SUN ; Tai Ming ZHANG ; Dong Yu FAN ; Hao Xiang WANG ; Lu Ran XU ; Qing DU ; Jun LIANG ; Li ZHU ; Xu WANG ; Li LEI ; Xiao Shu LI ; Wang Sheng JIN
Biomedical and Environmental Sciences 2025;38(10):1314-1319

Result Analysis
Print
Save
E-mail