1.Pathogenesis and treatment progress of flap ischemia-reperfusion injury
Bo HE ; Wen CHEN ; Suilu MA ; Zhijun HE ; Yuan SONG ; Jinpeng LI ; Tao LIU ; Xiaotao WEI ; Weiwei WANG ; Jing XIE
Chinese Journal of Tissue Engineering Research 2025;29(6):1230-1238
BACKGROUND:Flap transplantation technique is a commonly used surgical procedure for the treatment of severe tissue defects,but postoperative flap necrosis is easily triggered by ischemia-reperfusion injury.Therefore,it is still an important research topic to improve the survival rate of transplanted flaps. OBJECTIVE:To review the pathogenesis and latest treatment progress of flap ischemia-reperfusion injury. METHODS:CNKI,WanFang Database and PubMed database were searched for relevant literature published from 2014 to 2024.The search terms used were"flap,ischemia-reperfusion injury,inflammatory response,oxidative stress,Ca2+overload,apoptosis,mesenchymal stem cells,platelet-rich plasma,signaling pathways,shock wave,pretreatment"in Chinese and English.After elimination of irrelevant literature,poor quality and obsolete literature,77 documents were finally included for review. RESULTS AND CONCLUSION:Flap ischemia/reperfusion injury may be related to pathological factors such as inflammatory response,oxidative stress response,Ca2+overload,and apoptosis,which can cause apoptosis of vascular endothelial cells,vascular damage and microcirculation disorders in the flap,and eventually lead to flap necrosis.Studies have found that mesenchymal stem cell transplantation,platelet-rich plasma,signaling pathway modulators,shock waves,and pretreatment can alleviate flap ischemia/reperfusion injuries from different aspects and to varying degrees,and reduce the necrosis rate and necrosis area of the grafted flap.Although there are many therapeutic methods for skin flap ischemia/reperfusion injury,a unified and effective therapeutic method has not yet been developed in the clinic,and the advantages and disadvantages of various therapeutic methods have not yet been compared.Most of the studies remain in the stage of animal experiments,rarely involving clinical observations.Therefore,a lot of research is required in the future to gradually move from animal experiments to the clinic in order to better serve the clinic.
2.Protective Effect and Mechanism of Anmeidan against Neuronal Damage in Rat Model of Sleep Deprivation Based on Hippocampal Neuroinflammation
Guangjing XIE ; Zixuan XU ; Junlu ZHANG ; Jian ZHANG ; Jing XIA ; Bo XU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(10):65-71
ObjectiveTo investigate the effects of Anmeidan (AMD) on neuroinflammation in the hippocampus of sleep-deprived rats. MethodsSD rats were randomly divided into four groups (n = 10 per group): control group, model group, AMD group, and melatonin group. A sleep deprivation model was established using the modified multiple platform water environment method. The AMD group received AMD at a dose of 18.18 g·kg-1·d-1, the melatonin group received melatonin at 100 mg·kg-1·d-1, and the control and model groups were given an equal volume of pure water. All treatments were administered by gavage for four weeks. Spontaneous activity was assessed using an animal behavior video system. Serum levels of interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) were measured by enzyme-linked immunosorbent assay (ELISA). Hippocampal pyramidal neuron morphology was examined using hematoxylin-eosin (HE) staining, and ultrastructural changes of hippocampal neurons were observed via transmission electron microscopy. Immunofluorescence was used to detect the expression of brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF) in the hippocampus. Western blot analysis was performed to measure the expression of nuclear factor-κB (NF-κB), phosphorylated NF-κB (p-NF-κB), NOD-like receptor protein 3 (NLRP3), and Caspase-1 proteins. ResultsCompared with the control group, the model group showed a significant increase in activity duration and frequency (P<0.01), increased hippocampal pyramidal cell structural damage and decreased cell count, aggravated hippocampal ultrastructural damage, mitochondrial cristae disruption, and exacerbated vacuolization. The expression of p-NF-κB p65, NLRP3, and Caspase-1 proteins was upregulated, serum IL-1β, IL-6, and TNF-α levels were significantly elevated (P<0.01), and the fluorescence intensity of BDNF and NGF proteins was significantly reduced (P<0.01). Compared with the model group, the AMD group showed a significant reduction in activity duration and frequency (P<0.01), increased hippocampal pyramidal cell count with reduced structural damage, alleviated hippocampal ultrastructural damage, significantly downregulated p-NF-κB p65, NLRP3, and Caspase-1 protein expression (P<0.01), decreased serum IL-1β, IL-6, and TNF-α levels (P<0.01), and significantly increased the fluorescence intensity of BDNF and NGF proteins (P<0.01). ConclusionAnmeidan alleviates hippocampal neuronal damage in sleep-deprived rats, potentially by downregulating the NLRP3 signaling pathway, reducing inflammatory cytokine release, and increasing neurotrophic factor levels.
3.The Application Status and Trends of Data-Intelligence Technology in the Diagnosis of Lysosomal Storage Diseases
Xinyu DU ; Shengfeng WANG ; Jing XIE ; Jian GUO ; Shuyang ZHANG
JOURNAL OF RARE DISEASES 2025;4(1):112-121
To summarize the applications of data-intelligence technology in diagnosing lysosomal storage disease(LSD), analyze their opportunities and challenges in clinical practice as well as their development trends, and provide insights and recommendations for advancing digitally driven auxiliary diagnostic technologies. A comprehensive literature search was conducted across databases including PubMed, Web of Science, Embase, CNKI, Wanfang Database, and VIP. The studies focusing on the application of digital-intelligence technologies in LSD diagnosis were included. A qualitative analysis was performed, categorizing and summarizing research based on the types of digital-intelligence technologies employed, and exploring future development trends. The analysis revealed that digital-intelligence technologies, particularly in areas such as big data storage and management, data mining and analytics, machine learning, natural language processing, and computer vision, held significant potential for early screening and diagnosis of LSD. These technologies facilitated the identification of potential patients, discovery of new biomarkers, quantitative analysis of symptoms, and elucidation of gene-disease relationships, ultimately enhancing diagnostic efficiency and accuracy. Digital-intelli-gence technologies present promising prospects for advancing LSD diagnostic research and improving diagnostic precision. Future efforts should focus on developing a comprehensive, multidimensional diagnosis system and diagnostic technologies under the guidance of the DI-HEALTH theoretical framework, in the hope of paving the way for further development of digitally assisted diagnostic solutions.
4.Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases
Yixuan GUO ; Yi GAO ; Yiyang YAO ; Zhuoyue QIN ; Yaofang ZHANG ; Jiaqi JING ; Jing XIE ; Jian GUO ; Shuyang ZHANG
JOURNAL OF RARE DISEASES 2025;4(1):122-131
To review the randomized controlled trials (RCTs) at home and abroad on digital intelligence (DI)-driven rehabilitation in patients of neuromuscular disease, compare the effects of DI-driven rehabilitation with traditional rehabilitation, summarize the special needs and challenges faced by patients in rehabilitation of rare neuromuscular diseases, and provide evidence for the development and quality improvement of rehabilitation for rare neuromuscular diseases. We searched PubMed, Web of Science, Embase, CNKI, VIP, and Wanfang databases for literature on neuromuscular diseases, rare diseases, digital and intelligent technologies, and rehabilitation published from the inception of the databases to June 2024. Basic and research-related information from the retrieved literature was extracted and analyzed. A total of 43 RCTs in English from 14 countries were included. The most studied diseases were Parkinson′s disease and multiple sclerosis. The application of DI-driven technologies in rehabilitation of rare neuromuscular diseases was still limited. The commonly used technologies were virtual reality (VR) games, intelligent treadmill assistance, gait training robots, hybrid assistive limb (HAL), wearable sensors and tele-rehabilitation (TR) systems. These technologies were applied in patients′ homes or rehabilitation service centers. The VR games significantly improved both static/dynamic balance functions and cognitive functions. The intelligent treadmill assistance significantly enhanced gait speed and stride length. The gait training robots significantly improved balance, gait speed and stride length of patients. The wearable exoskeletons significantly enhanced walking ability. DI-driven rehabilitation measures have great value and potential in the field of neuromuscular disease rehabilitation. Their advantages and characteristics can meet the diverse needs of rare disease patients. In the future, a hierarchical and collaborative rehabilitation service system should be established to meet the urgent needs of the rehabilitation of rare neuromuscular diseases. Combining the advantages of digitization and intelligence will provide standardized, scientific, convenient and affordable rehabilitation services to patients.
5.The Application of Digital Intelligence Technology in the Management of Non-Hospitalized Patients with Rare Diseases
Yiyang YAO ; Yi GAO ; Yixuan GUO ; Zhuoyue QIN ; Yaofang ZHANG ; Jiaqi JING ; Jing XIE ; Jian GUO ; Shuyang ZHANG
JOURNAL OF RARE DISEASES 2025;4(1):46-53
To provide references to and give suggestions to the development and optimiza-tion of Digital Intelligence (DI) technology in management of non-hospitalized patients by systematical review the application of digital technology in non-hospital settings. We designed the search strategy and used the words " rare diseases"" patient management"" non-hospitalized management"" community management"" digital intelligence"" big data"" telemedicine" as MESH terms or free words. We searched the database of PubMed, Science-Direct, Web of Science, CNKI, Wanfang and VIP from the beginning of the database to July 2024 and used computer retrieval to get the literatures on the application of DI technology in the management of patients with rare diseases in non-hospital setting. We extracted the information of the first author, country or region, publication time, research participants, DI technology application, and application effect for summary analysis. A total of 13 articles were included in this study, which were from 8 countries or regions. We found that DI technologies used were in the following forms: Internet information platform, wearable devices, telemedicine management platform and electronic database. The DI technology was used by the patients with rare diseases, patient caregivers and professional medical staffs. The application of all the forms above in different populations had good effect. The Internet information platform helped patients and their caregivers learn more about the disease and improved their self-management ability. The wearable device helped monitor the health status of patients in real time and predict the risk of emergent events. The telemedicine management platform facilitated to optimize the allocation of medical resources and strengthen doctor-patient communication. The electronic health database promoted the interconnection of data inside and outside the hospital and improved the accuracy of decision-making through data sharing. The application of DI technology in the management of patients with rare diseases in non-hospitalized settings has shown positive results. In the future, it is necessary to correct the shortcomings and to deal with the challenges in terms of accuracy, readiness, applicability, and privacy protection. Besides, the DI can be integrated into the tri-level management system of patients known as the "patient-community-hospital". It is advisable to take the advantages of digital intelligence technology to improve the efficiency and quality of management of patients in non-hospitalized settings.
6.In situ Analytical Techniques for Membrane Protein Interactions
Zi-Yuan KANG ; Tong YU ; Chao LI ; Xue-Hua ZHANG ; Jun-Hui GUO ; Qi-Chang LI ; Jing-Xing GUO ; Hao XIE
Progress in Biochemistry and Biophysics 2025;52(5):1206-1218
Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.
7.Combination of CT/MRI LI-RADS With Second-Line Contrast-Enhanced Ultrasound Using Sulfur Hexafluoride or Perfluorobutane for Diagnosing Hepatocellular Carcinoma in High-Risk Patients
Yu LI ; Sheng LI ; Qing LI ; Kai LI ; Jing HAN ; Siyue MAO ; Xiaohong XU ; Zhongzhen SU ; Yanling ZUO ; Shousong XIE ; Hong WEN ; Xuebin ZOU ; Jingxian SHEN ; Lingling LI ; Jianhua ZHOU
Korean Journal of Radiology 2025;26(4):346-359
Objective:
The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) demonstrates high specificity with relatively limited sensitivity for diagnosing hepatocellular carcinoma (HCC) in high-risk patients. This study aimed to explore the possibility of improving sensitivity by combining CT/MRI LI-RADS v2018 with second-line contrast-enhanced ultrasound (CEUS) LI-RADS v2017 using sulfur hexafluoride (SHF) or perfluorobutane (PFB).
Materials and Methods:
This retrospective analysis of prospectively collected multicenter data included high-risk patients with treatment-naive hepatic observations. The reference standard was pathological confirmation or a composite reference standard (only for benign lesions). Each participant underwent concurrent CT/MRI, SHF-enhanced US, and PFB-enhanced US examinations. The diagnostic performances for HCC of CT/MRI LI-RADS alone and three combination strategies (combining CT/ MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or a modified algorithm incorporating the Kupffer-phase findings for PFB [modified PFB]) were evaluated. For the three combination strategies, apart from the CT/MRI LR-5 criteria, HCC was diagnosed if CT/MRI LR-3 or LR-4 observations met the LR-5 criteria using LI-RADS SHF, LI-RADS PFB, or modified PFB.
Results:
In total, 281 participants (237 males; mean age, 55 ± 11 years) with 306 observations (227 HCCs, 40 non-HCC malignancies, and 39 benign lesions) were included. Using LI-RADS SHF, LI-RADS PFB, and modified PFB, 20, 23, and 31 CT/MRI LR-3/4 observations, respectively, were reclassified as LR-5, and all were pathologically confirmed as HCCs. Compared to CT/MRI LI-RADS alone (74%, 95% confidence interval [CI]: 68%–79%), the three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB increased sensitivity (83% [95% CI: 77%–87%], 84% [95% CI: 79%–89%], 88% [95% CI: 83%–92%], respectively; all P < 0.001), while maintaining the specificity at 92% (95% CI: 84%–97%).
Conclusion
The combination of CT/MRI LI-RADS with second-line CEUS using SHF or PFB improved the sensitivity of HCC diagnosis without compromising specificity.
8.Genetic Correlation and Mendelian Randomization Analysis Revealed an Unidirectional Causal Relationship Between Left Caudal Middle Frontal Surface Area and Cigarette Consumption
Hongcheng XIE ; Anlin WANG ; Minglan YU ; Tingting WANG ; Xuemei LIANG ; Rongfang HE ; Chaohua HUANG ; Wei LEI ; Jing CHEN ; Youguo TAN ; Kezhi LIU ; Bo XIANG
Psychiatry Investigation 2025;22(3):279-286
Objective:
Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them.
Methods:
To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted.
Results:
The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4).
Conclusion
Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.
9.Network meta-analysis of non-surgical treatments for foot and ankle ability and dynamic balance in patients with chronic ankle instability
Xinxin ZHANG ; Ke GAO ; Shidong XIE ; Haowen TUO ; Feiyue JING ; Weiguo LIU
Chinese Journal of Tissue Engineering Research 2025;29(9):1931-1944
OBJECTIVE:The optimal non-surgical therapy for chronic ankle instability remains unclear due to the continuous introduction of novel treatment methods despite the availability of several non-surgical options for improving foot and ankle function and dynamic balance in chronic ankle instability patients.This study aims to investigate the most effective non-surgical therapy options to improve foot and ankle function and dynamic balance for patients with chronic ankle instability using a network meta-analysis. METHODS:Using"CAI,exercise,and randomized controlled trial"as search terms,a literature search of PubMed,Embase,Cochrane Library,and Web of Science databases was conducted through a computer network to collect information from the databases from their inception to March 2024 on non-surgical therapies for the treatment of chronic ankle instability randomized controlled trials on foot and ankle function or dynamic balance in patients.EndNote software was utilized for literature management.RevMan 5.4 software and Cochrane Risk of Bias Assessment Tool were used to evaluate the risk of bias of the included literature.Paired meta-analysis and network meta-analysis of the outcomes such as the Foot and Ankle Ability Measure in daily living subscale score,Foot and Ankle Ability Measure in sports activities subscale score,Star Excursion Balance Test-Anterior score,Star Excursion Balance Test-Posteromedial score,Star Excursion Balance Test-Posterolateral score and Cumberland ankle instability tool score were performed using the network commands of Stata 14.0 software.The strength of evidence rating of the outcome metrics was evaluated according to the GRADE Level of Evidence and Strength of Recommendation Grading Criteria. RESULTS:Of the 22 randomized controlled trials that met the inclusion criteria,1 study was rated as low risk,8 studies were rated as medium risk,and 13 studies were rated as high risk,enrolling a total of 952 patients and 25 treatments.(1)Network meta-analysis showed that compared with the control group,Isokinetic Strength Training,Balance Training,Balance+Stroboscopic Glasses Training,Strength Training,Joint Mobilizations Training,CrossFit Training,CrossFit Training+Self-Mobilization,Wobble Board Training,National Academy of Sport Medicine corrective exercise program,Trigger Point Dry Needling,and Neuromuscular Training had different significant enhancement effects on improving foot and ankle function and dynamic balance in patients with chronic ankle instability(P<0.05).(2)Cumulative probability ranking results showed that the three treatments with the highest ranked Cumberland ankle instability tool score were Joint Mobilizations Training(88.6%)>Visual Feedback Balance Training(83.1%)>CrossFit Training+Self-Mobilization(74.8%);the three treatments with the highest ranked Star Excursion Balance Test-Anterior score were Joint Mobilizations Training(88.4%)>Isokinetic Strength Training(86.9%)>National Academy of Sport Medicine corrective exercise program(65.0%);the three treatments with the highest ranked Star Excursion Balance Test-Posteromedial score were Balance+Stroboscopic Glasses Training(87.4%)>Neuromuscular Training(74.6%)>Strength Training(68.9%);the three treatments with the highest ranked Star Excursion Balance Test-Posterolateral score were CrossFit Training+Self-Mobilization(74.6%)>Balance+Stroboscopic Glasses Training(70.0%)>Neuromuscular Training(63.7%);the three treatments with the highest ranked Foot and Ankle Ability Measure in daily living subscale score were National Academy of Sport Medicine corrective exercise program(91.9%)>Balance+Stroboscopic Glasses Training(85.6%)>Wobble Board Training(82.2%);the three treatments with the highest ranked Foot and Ankle Ability Measure in sports activities subscale score were Balance+Stroboscopic Glasses Training(93.5%)>Balance Training(86.7%)>National Academy of Sport Medicine corrective exercise program(86.4%). CONCLUSION:Non-surgical therapies can significantly improve foot and ankle function and dynamic balance in patients with chronic ankle instability.National Academy of Sport Medicine corrective exercise program had the best efficacy in improving foot and ankle daily activity function in chronic ankle instability patients;Balance+Stroboscopic Glasses Training had the best efficacy in improving foot and ankle sports function and posterior medial dynamic balance;Joint Mobilizations Training had the best efficacy in improving anterolateral dynamic balance and ankle instability condition;and CrossFit Training+Self-Mobilization had the best efficacy in improving posterior lateral dynamic balance.The strength of evidence for each outcome was low,influenced by the risk of methodological bias and risk of publication bias of the included studies.Therefore,the above conclusions need to be validated by more high-quality pilot studies.
10.Synergistic Activation of LEPR and ADRB2 Induced by Leptin Enhances Reactive Oxygen Specie Generation in Triple-Negative Breast Cancer Cells
Chang LIU ; Jing YU ; Yongjun DU ; Yu XIE ; Xiaofei SONG ; Chang LIU ; Yan YAN ; Yue WANG ; Junfang QIN
Cancer Research and Treatment 2025;57(2):457-477
Purpose:
Leptin interacts not only with leptin receptor (LEPR) but also engages with other receptors. While the pro-oncogenic effects of the adrenergic receptor β2 (ADRB2) are well-established, the role of leptin in activating ADRB2 in triple-negative breast cancer (TNBC) remains unclear.
Materials and Methods:
The pro-carcinogenic effects of LEPR were investigated using murine TNBC cell lines, 4T1 and EMT6, and a tumor-bearing mouse model. Expression levels of LEPR, NADPH oxidase 4 (NOX4), and ADRB2 in TNBC cells and tumor tissues were analyzed via western blot and quantitative real-time polymerase chain reaction. Changes in reactive oxygen species (ROS) levels were assessed using flow cytometry and MitoSox staining, while immunofluorescence double-staining confirmed the co-localization of LEPR and ADRB2.
Results:
LEPR activation promoted NOX4-derived ROS and mitochondrial ROS production, facilitating TNBC cell proliferation and migration, effects which were mitigated by the LEPR inhibitor Allo-aca. Co-expression of LEPR and ADRB2 was observed on cell membranes, and bioinformatics data revealed a positive correlation between the two receptors. Leptin activated both LEPR and ADRB2, enhancing intracellular ROS generation and promoting tumor progression, which was effectively countered by a specific ADRB2 inhibitor ICI118551. In vivo, leptin injection accelerated tumor growth and lung metastases without affecting appetite, while treatments with Allo-aca or ICI118551 mitigated these effects.
Conclusion
This study demonstrates that leptin stimulates the growth and metastasis of TNBC through the activation of both LEPR and ADRB2, resulting in increased ROS production. These findings highlight LEPR and ADRB2 as potential biomarkers and therapeutic targets in TNBC.

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