1.Effect of compressive stress microenvironment on cytokines during fracture healing
Jiachen GUO ; Jun GAO ; Wenhao DAI ; Huayuan LIAO ; You JIANG ; Xi ZHANG
Chinese Journal of Tissue Engineering Research 2026;30(4):908-916
BACKGROUND:Fracture healing is a very complex physiological process,which is influenced by many factors.In recent years,the use of biomechanical factors in fracture healing has been a major focus in the field of orthopedics,and the mechanical stress environment around the fracture end has an important role in regulating fracture healing.Among them,the study of the mechanism of compressive mechanics on the cytokines of fracture ends is a hot spot for bone-related researchers.OBJECTIVE:To summarize the current status and recent advances in the study of the mechanism of action of compressive stress on cytokines in fracture healing in recent years.METHODS:A search with the keywords of"compressive stress,fracture healing,cytokine,bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,tumor necrosis factor-α"in Chinese and English was conducted in the CNKI,WanFang,PubMed,and Web of Science.Initially 506 articles were retrieved,and 94 eligible articles that met the criteria were screened and finally summarized.RESULTS AND CONCLUSION:Current studies have found that compressive stress has different effects on different cytokines during fracture healing,which can be achieved mainly by influencing cell signaling,gene expression regulation,and modulation of cell behavior.Among them,compressive stress can be linked to cytokines such as bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,and tumor necrosis factor-α.This process involves cell proliferation,differentiation and migration,inflammatory response,and changes in the environmental and nutritional conditions of the fracture end,which are key factors affecting fracture healing.The whole paper summarizes the complexity of cytokine action mechanism,the mechanism of compressive stress on its regulation needs to be further carried out in-depth research,and the problems and limitations in the research are considered and future prospects.
2.Integrating Transcriptomics and 3D Organoids to Investigate Mechanism of Periplaneta americana Extract Against Lung Adenocarcinoma
Qiong MA ; Chunxia HUANG ; Jiawei HE ; Yuting BAI ; Xingyue LIU ; Yuxuan XIONG ; Yang ZHONG ; Hengzhou LAI ; Yuling JIANG ; Xueke LI ; Qian WANG ; Yifeng REN ; Xi FU ; Funeng GENG ; Taoqing WU ; Ping XIAO ; Fengming YOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):124-132
ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract(PAE) against human-derived lung adenocarcinoma organoids(LUAD-PDOs) and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid(Nor-PDOs) models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8(CCK-8) assay. Experimental groups included the model group(LUAD-PDOs), normal group, model administration group(LUAD-PDOs+PAE), and normal administration group(Nor-PDOs+PAE). Hematoxylin-eosin(HE) staining was used to observe the pathological structures of PDOs, immunohistochemistry(IHC) was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7(CK-7) and Napsin A, TUNEL staining was applied to detect cell apoptosis. RNA sequencing(RNA-Seq) was conducted to identify differentially expressed genes(DEGs), followed by Gene Ontology(GO), Kyoto Encyclopedia of Genes and Genomes(KEGG), and Gene Set Enrichment Analysis(GSEA), alongside protein-protein interaction(PPI) network analysis to screen core mechanisms. Finally, key targets were validated by integrating external database analysis with immunofluorescence(IF). ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures, whereas LUAD-PDOs displayed dense, solid structures. CCK-8 and TUNEL assays revealed that, compared with the model group, PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells, while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention(347 up-regulated and 372 down-regulated)(P<0.05). GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism, including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway(P<0.05). PPI network analysis indicated that breast cancer type 1 susceptibility protein(BRCA1) and checkpoint kinase 1(CHEK1) were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention(P<0.05). Furthermore, survival analysis based on The Cancer Genome Atlas(TCGA) database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD(P<0.05). ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis, its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway, with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.
3.Construction and Application of "Source-Pivot-Convergence" Pattern Identification and Treatment Model for Malignant Tumors
Yuling JIANG ; Jiawei HE ; Yang ZHONG ; Chunxia HUANG ; Qiong MA ; Chuan ZHENG ; Xi FU ; Fengming YOU
Journal of Traditional Chinese Medicine 2026;67(9):956-960
Based on LI Gao's Academic Thought, focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point, a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model, spleen and stomach internal injury is the source of malignant tumor occurrence, while the disorder of ascending and descending is the pivot of the disease development, and the generation of yin fire is the convergence of malignant tumor progression. Based on this, the three major therapeutic methods of clearing the source, harmonizing the pivot, and resolving the convergence are established. To fortify spleen and boost qi, consolidate the root and clear the source, modified Buzhong Yiqi Decoction(补中益气汤)can be used. To raise the clear and direct the turbid downward, regulate qi and harmonize the pivot, modified Shengyang Yiwei Decoction (升阳益胃汤) is suggested. To restore balance and promote circulation, disperse accumulation and resolve convergence, modified Shengyang Sanhuo Decoction (升阳散火汤) is selected. In clinical practice, these formulas can be used in combination according to the complexity of the pathogenesis, and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors, resolving phlegm and promoting circulation, activating blood and eliminating concretions, which can provide a reference for the prevention and treatment of tumor diseases.
4.Construction and Application of "Source-Pivot-Convergence" Pattern Identification and Treatment Model for Malignant Tumors
Yuling JIANG ; Jiawei HE ; Yang ZHONG ; Chunxia HUANG ; Qiong MA ; Chuan ZHENG ; Xi FU ; Fengming YOU
Journal of Traditional Chinese Medicine 2026;67(9):956-960
Based on LI Gao's Academic Thought, focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point, a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model, spleen and stomach internal injury is the source of malignant tumor occurrence, while the disorder of ascending and descending is the pivot of the disease development, and the generation of yin fire is the convergence of malignant tumor progression. Based on this, the three major therapeutic methods of clearing the source, harmonizing the pivot, and resolving the convergence are established. To fortify spleen and boost qi, consolidate the root and clear the source, modified Buzhong Yiqi Decoction(补中益气汤)can be used. To raise the clear and direct the turbid downward, regulate qi and harmonize the pivot, modified Shengyang Yiwei Decoction (升阳益胃汤) is suggested. To restore balance and promote circulation, disperse accumulation and resolve convergence, modified Shengyang Sanhuo Decoction (升阳散火汤) is selected. In clinical practice, these formulas can be used in combination according to the complexity of the pathogenesis, and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors, resolving phlegm and promoting circulation, activating blood and eliminating concretions, which can provide a reference for the prevention and treatment of tumor diseases.
5.Effect of compressive stress microenvironment on cytokines during fracture healing
Jiachen GUO ; Jun GAO ; Wenhao DAI ; Huayuan LIAO ; You JIANG ; Xi ZHANG
Chinese Journal of Tissue Engineering Research 2026;30(4):908-916
BACKGROUND:Fracture healing is a very complex physiological process,which is influenced by many factors.In recent years,the use of biomechanical factors in fracture healing has been a major focus in the field of orthopedics,and the mechanical stress environment around the fracture end has an important role in regulating fracture healing.Among them,the study of the mechanism of compressive mechanics on the cytokines of fracture ends is a hot spot for bone-related researchers.OBJECTIVE:To summarize the current status and recent advances in the study of the mechanism of action of compressive stress on cytokines in fracture healing in recent years.METHODS:A search with the keywords of"compressive stress,fracture healing,cytokine,bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,tumor necrosis factor-α"in Chinese and English was conducted in the CNKI,WanFang,PubMed,and Web of Science.Initially 506 articles were retrieved,and 94 eligible articles that met the criteria were screened and finally summarized.RESULTS AND CONCLUSION:Current studies have found that compressive stress has different effects on different cytokines during fracture healing,which can be achieved mainly by influencing cell signaling,gene expression regulation,and modulation of cell behavior.Among them,compressive stress can be linked to cytokines such as bone morphogenetic protein,fibroblast growth factor,platelet-derived growth factor,vascular endothelial growth factor,interleukin,and tumor necrosis factor-α.This process involves cell proliferation,differentiation and migration,inflammatory response,and changes in the environmental and nutritional conditions of the fracture end,which are key factors affecting fracture healing.The whole paper summarizes the complexity of cytokine action mechanism,the mechanism of compressive stress on its regulation needs to be further carried out in-depth research,and the problems and limitations in the research are considered and future prospects.
6.Clinical evaluation of liver fibrosis regression: A multimodal precision strategy based on histology, serology, and imaging
Yizhou LIU ; Qiannan JIANG ; Hong YOU ; Xiaoning WU
Journal of Clinical Hepatology 2026;42(7):1683-1687
Liver fibrosis is a key pathological stage in the progression of chronic liver diseases to liver cirrhosis, and effective etiological control or therapeutic interventions can help to achieve varying degrees of liver fibrosis regression in some patients. Accordingly, accurate assessment of the degree of liver fibrosis regression has gradually become an important concern in clinical management and the development of novel therapeutic agents. Conventional assessment methods mainly focus on fibrosis staging and have certain limitations in reflecting structural remodeling and dynamic changes of the liver. This article systematically reviews the recent research advances in the assessment of liver fibrosis regression from various aspects such as histological and digital pathology, serological and multi-omics biomarkers, and functional and molecular imaging modalities and discusses their respective advantages and limitations in assessing liver fibrosis regression. On this basis, this article discusses a multimodal integrated evaluation strategy based on artificial intelligence, in order to provide new ideas for accurate assessment of liver fibrosis regression, individualized therapeutic monitoring, and optimization of clinical trial endpoints.
7.Changes in Astronaut Brain Function and Behavior Associated With Habitation on Low-Earth-orbit Space Stations
Hong-Ting JIANG ; You-Fu LUO ; Zheng-Jiang YANG ; Yuan YAO ; De-Zhong YAO ; Ke CHEN
Progress in Biochemistry and Biophysics 2026;53(10):2786-2796
During habitation on low-Earth-orbit (LEO) space stations, astronauts are exposed to a combination of orbital microgravity, space radiation, an enclosed and artificially controlled cabin environment, altered sleep-wake rhythms, and sustained operational and psychosocial demands. These factors can modify sensorimotor inputs, body-fluid distribution, arousal state, and task-related neural processing, thereby affecting brain function and behavior. Because evidence from real spaceflight remains limited by small samples, heterogeneous mission durations, and different measurement time points, this review integrates findings from real human spaceflight with relevant ground-based analog studies while treating real orbital studies as the primary source of evidence. We focus on electroencephalography (EEG) and event-related potentials (ERPs), structural and functional neuroimaging, and sensorimotor and cognitive outcomes, with particular attention to the direction, anatomical distribution, temporal course, and possible physiological significance of the reported changes. EEG studies indicate that long-duration spaceflight is associated with increased resting-state beta activity, particularly in sensorimotor and frontotemporal regions, together with state-dependent alterations in beta-band functional connectivity. In contrast, alpha source power and functional connectivity associated with the default mode network are reduced during long-duration missions, and some of these effects may persist into the early postflight period. Task-related electrophysiological findings further suggest that sustained mental workload can weaken frontocentral theta-temporoparietal gamma phase-amplitude coupling, whereas in-flight decision-making is accompanied by reduced P300 amplitude and reorganization of feedback-related potentials. Short-duration missions, however, have shown relative preservation of posterior dominant rhythms and some ERP measures, indicating that mission duration, recording state, and task demands substantially influence the observed electrophysiological phenotype. Neuroimaging provides complementary evidence at structural and network levels. Long-duration spaceflight has been associated with upward brain displacement, ventricular and cerebrospinal fluid expansion, regional gray- and white-matter remodeling, and alterations in white-matter structural connectivity. Functional magnetic resonance imaging (fMRI) studies further indicate reorganization of vestibular-sensorimotor, visual, and default mode networks. Some network changes recover after return to Earth, whereas others may remain detectable for months. Importantly, most MRI measurements are obtained after landing rather than in orbit; therefore, postflight findings may reflect a mixture of in-flight adaptation, the rapid transition back to 1 g, and subsequent readaptation rather than a single spaceflight effect. Behavioral evidence is most consistent for sensorimotor function. Early after return, astronauts frequently show impaired postural control, gait, spatial orientation, and coordination, consistent with reweighting among vestibular, visual, and proprioceptive information. By comparison, simple cognition and some critical operational tasks are often preserved. More subtle or high-load processes-including sustained attention, feedback evaluation, temporal processing, error monitoring, and metacognitive calibration may be more sensitive than global cognitive performance. This dissociation between neural change and preserved behavior suggests that altered brain activity should not automatically be interpreted as functional deterioration. Integrating the available modalities, we propose that LEO space-station habitation is better characterized by system-specific and stage-dependent neural adaptation than by a generalized increase or decline in brain function. The most coherent cross-modal pattern involves sensorimotor reorganization: reduced gravitational reference and weight-bearing feedback under microgravity may drive reweighting of vestibular, visual, and proprioceptive inputs, accompanied by changes in beta activity and vestibular-sensorimotor networks and followed by transient postflight sensorimotor deficits. A second major process involves fluid-related structural remodeling, in which cephalad fluid shifts and altered hydrostatic gradients may contribute to changes in cerebrospinal fluid spaces, ventricular volume, and brain tissue configuration. Resting-state and cognitive electrophysiological changes likely represent additional adjustments in network regulation and resource allocation, but their functional interpretation remains more dependent on sleep, workload, recording conditions, and individual differences. Future studies should move beyond isolated pre-post comparisons and group averages toward standardized longitudinal designs spanning preflight, multiple in-flight time points, and postflight recovery. Synchronized assessment of brain function, behavior, sleep, and key environmental parameters should be used to characterize individual adaptation trajectories and determine which neural changes reflect successful compensation, which predict delayed recovery, and which have genuine value for brain-health risk prediction and individualized countermeasures.
8.Comparison of lung shunt fraction and intrahepatic distribution obtained from postoperative 90Y-selective internal radiation therapy and preoperative 99Tc m-MAA images
Hongji YOU ; Min XIONG ; Ao LI ; Zhaozhong WU ; Jingmin FENG ; Licong LIANG ; Liteng LIN ; Kangshun ZHU ; Shengnan JIANG
Chinese Journal of Nuclear Medicine and Molecular Imaging 2025;45(6):330-334
Objective:To compare the lung shunt fraction (LSF) of 90Y imaging after 90Y-selective internal radiation therapy (SIRT) and preoperative 99Tc m-macroaggregated albumin (MAA) imaging in patients with liver malignant tumors, and compare the volume and visual score of intrahepatic distribution of both nucleins on SPECT/CT images. Methods:A total of 91 patients with liver malignant tumors (78 males, 13 females; age (56.7±13.7)years; 99 cases) who underwent 90Y-SIRT in the Second Affiliated Hospital of Guangzhou Medical University from November 2022 to June 2024 were retrospectively collected. All patients underwent preoperative 99Tc m-MAA simulation and postoperative 90Y distribution verification by whole-body planar scintigraphy and hepatic SPECT/CT imaging. ROIs of the liver and lungs under the anterior-posterior position were delineated on the planar scintigraphy and LSF of 99Tc m-MAA and 90Y were calculated. The volume of interest (VOI) was drawn on the SPECT/CT images to calculate the nuclide distribution volume of both 99Tc m-MAA and 90Y within the liver. Wilcoxon signed rank test was used to compare the difference between two groups. In addition, the liver was divided into five lobes, namely left lateral lobe, left medial lobe, caudate lobe, right anterior lobe and right posterior lobe. Visual assessment of 90Y and 99Tc m-MAA radioactive distribution was performed ( 90Y and 99Tc m-MAA uptakes were graded on a scale of 0-3, where 0 indicated no nuclide accumulation and 3 indicated heavy accumulation). Kappa consistency test was used to analyze the scores of the corresponding lobes between two groups. Results:LSF for 99Tc m-MAA was 11.60%(4.27%, 15.03%), and LSF for 90Y was 11.80%(9.70%, 13.30%), without significant difference ( Z=-1.50, P=0.134). The distribution volume of 99Tc m-MAA within the liver was 542.63(204.00, 818.00)ml, which was significantly different from that of 90Y (688.69(287.00, 954.00)ml; Z=-7.37, P<0.001). Kappa values of the score of each lobe between 99Tc m-MAA imaging and 90Y imaging were 0.469-0.740 (all P<0.001). Conclusions:99Tc m-MAA simulation is reliable for assessing LSF for 90Y-SIRT. The distribution volume of 99Tc m-MAA is generally smaller than that of 90Y, but the consistency of the visual score of radioactive distribution is high. Overall, 99Tc m-MAA may well simulate the distribution pattern of 90Y-SIRT.
9.Determination of Seven Kinds of Haloacetic Acids in Drinking Water by In Situ Derivatization-Headspace Gas Chromatography
Deng-Kun LI ; Han-Qing WANG ; Shu-Lin ZHUANG ; Lei LI ; Yu-Lan YANG ; Dong-Xin JIANG ; Jia-You LU ; Jun LIU
Chinese Journal of Analytical Chemistry 2025;53(8):1342-1351
Haloacetic acids(HAAs),as a class of disinfection byproducts in drinking water,pose potential threats to human health,so the rapid,accurate and simultaneous detection of HAAs is of great significance for ensuring drinking water safety.Aiming at the challenges in HAAs detection and risk analysis,a novel method for synchronous rapid detection of seven kinds of HAAs in drinking water based on in situ derivatization technology and headspace gas chromatography was developed in this study.Through single-factor optimization experiments,the optimal reaction parameters for in situ derivatization were determined,including the type and dosage of salting-out agent,the acidity of reaction system,the amount of phase transfer catalyst,the dosage of derivatization agent,and the extraction solvent volume.Methodologic validation showed that the seven kinds of HAAs exhibited excellent linear relationships within their respective detection concentration ranges(R2>0.998).The method detection limits(MDLs)ranged from 0.04 to 0.33 μg/L,and the limits of quantification(LOQs)were between 0.14 and 1.34 μg/L.For real water samples,the average spiked recoveries of the seven HAAs ranged from 90.9%to 107.7%,with relative standard deviation(RSDs)between 1.55%and 6.49%,and the HAAs contents in all tested samples were below the limits specified in the Standards for Drinking Water Quality(GB 5749-2022)of China.This method was featured with simple operation,fast analysis speed,high sensitivity,and good accuracy,providing an efficient and reliable technical support for routine monitoring of HAAs contaminants in drinking water and showing promising application value for widespread promotion.
10.A new trend in the development of laboratory medicine:clinical laboratory omics
Yingqiang DANG ; Yao JIANG ; Qian WU ; Ling MENG ; Chongge YOU
International Journal of Laboratory Medicine 2025;46(15):1873-1878
With the rapid development of artificial intelligence and machine learning algorithms in the med-ical field,as well as the high-quality development requirements put forward by the state for hospitals and vari-ous departments,the development of laboratory medicine shows a new trend.The development of clinical labo-ratory has evolved from the initial test suite to the test pathway based on clinical pathway and diagnosis-relat-ed groups payment,and then to clinical laboratory omics.Clinical laboratory omics refers to the use of high-throughput methods to obtain a large number of laboratory project results data.Combined with the clinical characteristics of patients,statistical methods and machine learning algorithms are commonly used to reveal the information behind a large number of medical data to assist clinicians in diagnosis and treatment.Clinical laboratory omics may be a new trend in the future development of laboratory medicine,and it is likely to play an important role in the field of laboratory medicine.

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