1.Research Progress on the Role of Programmed Cell Death in Flap Ischemia-Reperfusion Injury
Jiwei ZHANG ; Jie ZHANG ; Xinshan WANG ; Xingzhang YAO ; Zhenxing JIANG ; Zhijun HE ; Tao LIU ; Jianliang LI ; Hui YAO ; Jie AN ; Qiuyue ZHAO ; Xiaotao WEI ; M Rayan GHAZI
Medical Journal of Peking Union Medical College Hospital 2026;17(3):851-861
Flap transplantation is a critical surgical strategy for the reconstruction of tissue defects caused by trauma, tumor resection, and congenital malformations, and its survival rate directly determines surgical efficacy and patient prognosis. Following transplantation, flaps inevitably undergo ischemia-reperfusion (I/R) injury, during which oxidative stress, inflammatory responses, and metabolic disturbances are intricately intertwined, ultimately leading to cellular injury and tissue necrosis. Recent studies have demonstrated that multiple forms of programmed cell death—including apoptosis, pyroptosis, ferroptosis, necroptosis, and PANoptosis—play central roles in flap I/R injury. The extensive crosstalk and molecular interactions among these pathways form a highly complex cell death network. Specifically, apoptosis is mediated by the imbalance of Bcl-2 family proteins and the activation of cysteine-dependent aspartate-specific protease (caspase) cascades; pyroptosis is driven by the NLRP3-caspase-1-GSDMD axis, resulting in membrane pore formation and the release of pro-inflammatory cytokines; ferroptosis is characterized by iron-dependent lipid peroxidation and dysfunction of glutathione peroxidase 4 (GPX4); necroptosis is triggered by the receptor-interacting serine/threonine-protein kinase 1 (RIPK1)-RIPK3-MLKL signaling complex, leading to membrane rupture; and PANoptosis represents an integrated form of inflammatory cell death that coordinates multiple death pathways. Importantly, these forms of programmed cell death are not independent but are interconnected through extensive signaling crosstalk. Key regulatory molecules, including caspase-8, reactive oxygen species (ROS), nuclear factor-κB (NF-κB), and nuclear factor erythroid 2-related factor 2 (Nrf2), collectively modulate the dynamic balance among these pathways. Therefore, the multidimensional interplay and spatiotemporal dynamics of programmed cell death constitute a fundamental pathological basis of flap I/R injury. This review systematically summarizes the latest advances in the mechanisms and interactions of various programmed cell death pathways in flap I/R injury, aiming to elucidate the underlying regulatory network. These insights may provide novel theoretical foundations for optimizing flap protection strategies, improving flap survival, and promoting tissue repair.
2.Development and clinical translation of intelligent assistive devices for minimally invasive thoracic surgery
Jiwei ZHU ; Honghai MA ; Chunlin ZHOU ; Zhehao HE ; Tong SHEN ; Haojie YU ; Luming WANG ; Jian HU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(07):1013-1022
Although video-assisted thoracoscopic surgery (VATS) offers clear advantages, including minimal trauma and rapid recovery, stable intraoperative visualization still depends heavily on the camera assistant. Traditional manual endoscope holding is therefore susceptible to several limitations, including image instability, assistant fatigue, and poor coordination with the primary surgeon. Operating in complex and confined anatomical spaces with a rigid thoracoscope further increases the demands on hand-eye coordination. Thoracoscopic camera-holding technology has progressively evolved from passive support systems to active camera holders and robot-assisted thoracic surgery (RATS) platforms, and is now advancing toward artificial intelligence-driven tracking and intelligent control. Based on this, a series of devices, including multifunctional intelligent assistant arms and active camera-holding arms for thoracic surgery, have been developed and have attracted increasing attention. This article reviews the development of intelligent camera-holding assistant arms and discusses related advances and future directions in the field.
3.Dynamic immunological characteristics in acute rejection model of cervical heterotopic heart transplantation in mice
Xi CAO ; Tao HUANG ; Jiwei YANG ; Xiaowen WANG ; Wenfeng ZHU ; Haoqi CHEN ; Ning FAN ; Genshu WANG
Organ Transplantation 2025;16(2):256-263
Objective To establish an acute rejection model of cervical heart transplantation in mice and evaluate the survival and dynamic rejection process post-transplantation. Methods Mice were randomly divided into sham operation group (n=10), syngeneic transplantation group (n=21), and allogeneic transplantation group (n=65). Sham operation, syngeneic cervical heart transplantation, and allogeneic cervical heart transplantation were performed respectively. The survival of recipient mice and grafts, histopathological changes of graft tissues, subpopulations of splenic lymphocytes, and expression of inflammatory factors in serum and grafts were observed. Results The survival rate and graft survival rate of the sham operation group and syngeneic transplantation group were 100% at 7 days after surgery. In the allogeneic transplantation group, 5 cases failed and died on the first day after surgery. The survival rate at 7 days after surgery was 86%, and all surviving mice had grafts that stopped beating at 7 days after surgery. The allogeneic transplantation group showed significant rejection at 7 days after surgery, accompanied by tissue damage and CD8+ T cell infiltration. The proportion of CD8+ T cells in the spleen continued to rise post-operation, while the proportion of CD4+ T cells showed a downward trend. The expression of interferon-γ in serum and grafts peaked at 5 days after surgery, while the expression of tumor necrosis factor-α showed no statistical significance. Conclusions Acute rejection following heart transplantation in mice intensifies between 5 to 7 days after surgery, which may be a critical time window for immunological intervention.
4.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
5.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
6.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
7.Discussion on the Treatment of Insomnia from Liver Based on the Theory "Liver Governs Wei Qi (Defensive Qi)"
Zirong LI ; Miaoran WANG ; Yufei WU ; Tian NI ; Xianbei WANG ; Hongjin DU ; Jiwei ZHANG ; Qiuyan LI
Journal of Traditional Chinese Medicine 2025;66(4):411-415
Psychological factors have become significant contributors to the onset and progression of insomnia. This article explored the treatment of insomnia from the perspective of “liver governs wei qi (defensive qi)”. The concept of “liver governs wei qi (defensive qi)” is summarized in three aspects, firstly, the liver assists the spleen and stomach in transformation and transportation, governing the generation of wei qi; secondly, the liver aids lung qi diffusion and dispersion, governing the distribution of wei qi; thirdly, the liver regulates circadian rhythms, governing the circulation of wei qi. It is proposed that the clinical treatment of insomnia should focus on the following methods: for regulating the liver to harmonize the five viscera, and facilitate the circulation of wei qi, medicinals entering the liver channel include Chaihu (Bupleuri radix), Baishao (Paeoniae Radix Alba), Zhizi (Gardeniae Fructus), and Suanzaoren (Ziziphi Spinosae Semen) could be commonly used; for nourishing the liver, the treatment should align with the day-night rhythm, and herbs such as Baihe (Lilium), Hehuan (Albizia julibrissin), and Yejiaoteng (Polygoni multiflori caulis) are commonly used; for soothing the liver and address both mental and physical health to calm wei qi, treatment should advocate verbal counseling, psychological regulation, and health education. Ultimately, this treatment approach can free liver qi to flow, soothe qi movement, restore the motion of wei qi, regulate during day and night, balance yin and yang, and resolve insomnia effectively.
8.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
9.Effect and mechanism of dexmedetomidine on neurological function in rat model of Parkinson's disease
Sha LIAO ; Jiwei TANG ; Ting TANG ; Di WU ; Zhongming WANG ; Yong LI
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(5):650-655
Objective To investigate the effect of Dex on neurological function in PD rats through the receptor interacting protein kinase 1(RIPK1)/RIPK3/mixed lineage kinase domain-like pro-tein(MLKL)pathway.Methods After rat PD model was constructed,the PD rats were assigned into PD group,L-,M-and H-Dex groups(intraperitoneal injection of 25,50,and 100 μg/kg Dex,respectively),and Dex+recombinant RIPK1 protein(rRIPK1)group(intraperitoneal injection of 100 μg/kg Dex+8 μg/kg rRIPK1),with 6 animals in each group.Another 6 rats served as sham-operation(Sham)group.The rats from the Sham group and PD group were intragastrically ad-ministered and injected with an equal amount of normal saline solution once a day.After 21 con-secutive days,the rotational behavior was observed of in each group rats.HE staining was per-formed to detect the pathological changes in dopaminergic neurons in the substantia nigra.TUNEL staining was conducted to measure the apoptosis of dopaminergic neurons.ELISA was used to determine the levels of neurotransmitters[DA,HVA,3,4-dihydroxyphenylacetic acid(DOPAC),5-hydroxytrptamine(5-HT)]and inflammatory factors(TNF-α,IL-1β)in the sub-stantia nigra.Western blotting was applied to detect the expression of RIPK1/RIPK3/MLKL pathway related proteins in the substantia nigra tissues.Results Intact and well-arranged mor-phology and structure were observed in the neurons of the Sham group.The PD group presented prominently less neurons,in scattered arrangement,with obviously reduced volume,irregular nu-clear deformation,indicating notably neuronal damage.The severity of neuronal damage was at-tenuated sequentially in the L-Dex,M-Dex,and H-Dex groups,but the damage in the Dex+rRIPK1 group was further worsened.The PD group had significantly larger number of rotations,longer escape latency,higher apoptotic rate,increased TNF-α and IL-1β contents,and elevated lev-els of p-RIPK1/RIPK1(1.07±0.18 vs 0.36±0.11),p-RIPK3/RIPK3(1.32±0.21 vs 0.47±0.14),and p-MLKL/MLKL(0.79±0.11 vs 0.18±0.05),but lower DA,DOPAC,5-HT,and HVA con-tents than the Sham group(P<0.05).Dex treatment of low,medium and high doses reserved all above changes induced by PD modeling(P<0.05).The Dex+rRIPK1 group obtained larger num-ber of rotations,longer escape latency,higher apoptotic rate,increased TNF-α and IL-1β contents,and elevated levels of p-RIPK1/RIPK1(0.95±0.17 vs 0.41±0.12),p-RIPK3/RIPK3(1.14±0.20 vs 0.51±0.15),and p-MLKL/MLKL(0.72±0.09 vs 0.24±0.06),but decreased DA,DOPAC,5-HT,and HVA contents when compared with the H-Dex group(P<0.05).Conclusion Dex protects the neurological function of PD rats by inhibiting the RIPK1/RIPK3/MLKL pathway.
10.Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults (version 2025)
Zhengwei XU ; Liming CHENG ; Qixin CHEN ; Jian DONG ; Shunwu FAN ; Zhong FANG ; Shiqing FENG ; Haoyu FENG ; Haishan GUAN ; Weimin JIANG ; Dianming JIANG ; Yong HAI ; Lijun HE ; Yuan HE ; Bo LI ; Jianjun LI ; Feng LI ; Li LI ; Weishi LI ; Chunde LI ; Qi LIAO ; Baoge LIU ; Xiaoguang LIU ; Yong LIU ; Xuhua LU ; Shibao LU ; Bin LIN ; Wei MEI ; Chao MA ; Renfu QUAN ; Limin RONG ; Jiacan SU ; Honghui SUN ; Yuemin SONG ; Hongxun SANG ; Jun SHU ; Tiansheng SUN ; Jiwei TIAN ; Qiang WANG ; Xinwei WANG ; Zhe WANG ; Zheng WANG ; Liang YAN ; Guoyong YIN ; Jie ZHAO ; Yue ZHU ; Xiaobo ZHANG ; Xuesong ZHANG ; Zhongmin ZHANG ; Rongqiang ZHANG ; Dingjun HAO ; Yanzheng GAO ; Baorong HE
Chinese Journal of Trauma 2025;41(1):19-32
Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.

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