1.Skeleton Binding Protein 1 of Plasmodium berghei Influences Deformability and Cytoskeletal Ultrastructure of Infected Erythrocyte
Xin-Yue GUO ; Huan-Qi ZHAO ; Yan-Xuan ZHONG ; Ru-Meng JIANG ; Yao-Xian LI ; Lei-Ting PAN ; Qian WANG ; Xiao-Yu SHI
Progress in Biochemistry and Biophysics 2026;53(4):1015-1027
ObjectiveThe malaria parasites remodel the host erythrocyte structure by exporting parasite proteins that interact with the membrane skeleton proteins of red blood cells (RBCs), facilitating their intracellular survival and pathogenicity. Skeleton-binding protein 1 (SBP1) is a conserved exported protein across Plasmodium species. In Plasmodium falciparum, SBP1 has been reported to interact with erythrocyte membrane skeleton proteins 4.1R and spectrin, while its contribution to erythrocyte remodeling and parasite virulence in Plasmodium berghei (Pb) remains unclear. This study aims to determine whether PbSBP1 associates with the host cytoskeletal protein 4.1R and to investigate its role in the remodeling of host RBCs and the pathogenicity of Plasmodium berghei. MethodsIn Plasmodium berghei, the relationship between PbSBP1 and the erythrocyte cytoskeletal protein 4.1R was examined using co-immunoprecipitation. A Pbsbp1 gene knockout mutant of Plasmodium berghei (Pbsbp1∆) was generated based on the principle of double crossover homologous recombination. The deformability of erythrocytes infected with Pbsbp1∆ parasites was assessed using microfluidic methods. Microchannels with an array of cylindrical pillars were used to detect modifications in infected RBC deformability. The infected RBCs were squashed between the rows and recovered between the columns and the transit velocity (μm/s) of infected RBCs travelling through the microchannel was recorded. The component of the erythrocyte membrane skeleton junctional complex, tropomodulin (TMOD), was fluorescently labeled, and the cytoskeletal network of infected erythrocytes was imaged using super-resolution stochastic optical reconstruction microscopy (STORM) to analyze ultrastructural changes in the cytoskeleton of wild-type (WT) and Pbsbp1∆-infected erythrocytes. Actin-based junctional complexes were displayed as individual clusters by the labeled TMOD in the STORM images, and the cluster densities and distances between adjacent clusters of infected RBCs were calculated. Additionally, rodent malaria models (BALB/c mice) and experimental cerebral malaria models (C57BL/6 mice) were employed to monitor the growth of Pbsbp1∆ and WT parasites during the intraerythrocytic stage and their capacity to induce cerebral malaria in mice. ResultsPbSBP1 may participate in the remodeling of infected erythrocytes through direct or indirect interaction with the erythrocyte cytoskeletal protein 4.1R. Microfluidic assays revealed that the deformability of erythrocytes infected with Pbsbp1∆ parasites was significantly enhanced compared to those infected with WT parasites. STORM imaging further demonstrated that the ultrastructure of the erythrocyte cytoskeleton in Pbsbp1∆-infected cells was altered relative to that in WT-infected erythrocytes. The distances between nearest neighbors of clusters had a tendency to increase while the cluster densities were decreased in Pbsbp1∆-infected RBCs compared to WT-infected RBCs. Subsequent phenotypic analysis indicated that the growth rate of Pbsbp1∆ parasites during the intraerythrocytic stage was significantly slower than that of WT parasites, and their ability to induce cerebral malaria in mice was also attenuated. These findings suggest that PbSBP1 is involved in the remodeling of the erythrocyte membrane skeleton, likely through its direct or indirect interaction with protein 4.1R, thereby regulating the deformability of infected erythrocytes and influencing the pathogenicity of the blood-stage parasites. ConclusionThis study establishes a role for PbSBP1 in host erythrocyte remodeling and parasite virulence, providing new research strategies for the prevention and treatment of malaria.
2.HIF-1α promotes the inflammatory response of periodontal ligament cells under mechanical stress
WANG Feifei ; ZHENG Chengju ; CHEN Zhiyun ; LIU Ting ; WANG Yu
Journal of Prevention and Treatment for Stomatological Diseases 2025;33(9):732-743
Objective:
To investigate the molecular regulatory mechanism of hypoxia-inducible factor-1α (HIF-1α) in mechanical stress-induced inflammatory cytokine expression in human periodontal ligament cells (hPDLCs), providing a theoretical basis and potential therapeutic target for inflammatory control during orthodontic treatment.
Methods:
This study was approved by the Institutional Ethics Committee. Primary human periodontal ligament cells (hPDLCs) were isolated and cultured in vitro. Self-renewal capacity was confirmed via colony-forming assays, while osteogenic and adipogenic differentiation potential was evaluated via Alizarin Red S staining, alkaline phosphatase (ALP) activity assays, and Oil Red O staining. An in vitro compressive force stimulation model (1.5 g/cm2, 12 h) was established to compare inflammatory cytokine expression of hPDLCs—interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and HIF-1α—between the Control group (no mechanical stimulation) and the Force group (1.5 g/cm2, 12 h) using quantitative real-time PCR (qRT-PCR), Western blot, and immunofluorescence (IF) staining. Mechanically induced HIF-1α-regulated gene expression changes were analyzed through transcriptomic sequencing. To explore pharmacological inhibition, the small-molecule HIF-1α inhibitor LW-6 was applied at varying concentrations (10 μmol/L, 30 μmol/L, 50 μmol/L) to optimize the treatment dose. Subsequently, qRT-PCR, Western blot, and IF staining were conducted to evaluate inflammatory cytokine of hPDLCs and HIF-1α expression in three groups: Control (no force), Force (1.5 g/cm2, 12 h), and Force+LW6 (1.5 g/cm2, 12 h + 30 μmol/L LW-6).
Results:
Primary hPDLCs demonstrated self-renewal capacity along with osteogenic and adipogenic differentiation potential. Compared to the Control group, the Force group exhibited significantly increased mRNA and protein expression levels of inflammatory cytokines IL-1β, IL-6, and TNF-α, along with enhanced fluorescence intensity of IL-1β and TNF-α. Transcriptomic analysis revealed that mechanical compressive force activated the HIF-1 signaling pathway, which subsequently mediated inflammatory responses and bone remodeling processes in hPDLCs. Furthermore, the mRNA and protein levels of HIF-1α were considerably elevated in the Force group compared to the Control group. Treatment with LW-6 (10, 30, or 50 μmol/L) effectively suppressed HIF-1α expression, with 30 μmol/L LW-6 identified as the optimal concentration for intervention. In subsequent experiments, the Force group showed significant upregulation in mRNA/protein expression of IL-1β, IL-6, and TNF-α compared to the Control group, as well as intensified HIF-1α, IL-1β, and TNF-α fluorescence signals. Conversely, the Force+LW6 group (mechanical force + 30 μmol/L LW-6) exhibited a notable reduction in inflammatory cytokine expression levels and a weakening of HIF-1α, IL-1β, and TNF-α fluorescence signals compared to the Force group.
Conclusion
HIF-1α potentiates mechanical stress-induced inflammatory responses in hPDLCs and may serve as a promising therapeutic target for mitigating orthodontic-associated periodontal inflammation.
3.Analysis of Animal Models of Primary Dysmenorrhea Based on Clinical Features in Traditional Chinese and Western Medicine
Qinghua WANG ; Yu HUAN ; Shuangling ZHOU ; Ting ZUO ; Mingsan MIAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):220-226
ObjectiveTo systematically review the modeling methods and analyzes the model alignment with clinical features of primary dysmenorrhea (PD) in both traditional Chinese medicine (TCM) and western medicine, providing theoretical and practical guidance for establishing the animal models of PD that better reflect the diagnostic and therapeutic characteristics of both TCM and western medicine. MethodsThe literature on PD animal models was searched against domestic and international databases such as PubMed, CNKI, and Wanfang Data. According to the diagnostic criteria of TCM and western medicine, the modeling methods in the literature were summarized, evaluated for strengths and weaknesses, and systematically assessed for clinical concordance rates to identify suitable reference models. ResultsThe available animal models of PD showed the average clinical concordance rates of 43.64% and 61.27% with the clinical features in TCM and western medicine, respectively. Commonly used modeling methods included estrogen administration, physical stimulation, and surgical intervention, with the estrogen combined with oxytocin model and the ice-water bath model being the most studied. The model of Qi stagnation and blood stasis syndrome that was established with the comprehensive stimulation method demonstrated the highest clinical concordance rate. ConclusionCurrent PD animal models primarily replicate dysmenorrhea and simulate menstruation, but they differ from human menstruation to some extent and cannot fully reflect the pathogenesis and physiological characteristics of PD. Moreover, except the cold coagulation and dampness stagnation syndrome and Qi stagnation and blood stasis syndrome, no animal models for other TCM syndromes have been reported, which limits comprehensive TCM research on this disease to a certain extent.
4.Analysis of Animal Models of Primary Dysmenorrhea Based on Clinical Features in Traditional Chinese and Western Medicine
Qinghua WANG ; Yu HUAN ; Shuangling ZHOU ; Ting ZUO ; Mingsan MIAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):220-226
ObjectiveTo systematically review the modeling methods and analyzes the model alignment with clinical features of primary dysmenorrhea (PD) in both traditional Chinese medicine (TCM) and western medicine, providing theoretical and practical guidance for establishing the animal models of PD that better reflect the diagnostic and therapeutic characteristics of both TCM and western medicine. MethodsThe literature on PD animal models was searched against domestic and international databases such as PubMed, CNKI, and Wanfang Data. According to the diagnostic criteria of TCM and western medicine, the modeling methods in the literature were summarized, evaluated for strengths and weaknesses, and systematically assessed for clinical concordance rates to identify suitable reference models. ResultsThe available animal models of PD showed the average clinical concordance rates of 43.64% and 61.27% with the clinical features in TCM and western medicine, respectively. Commonly used modeling methods included estrogen administration, physical stimulation, and surgical intervention, with the estrogen combined with oxytocin model and the ice-water bath model being the most studied. The model of Qi stagnation and blood stasis syndrome that was established with the comprehensive stimulation method demonstrated the highest clinical concordance rate. ConclusionCurrent PD animal models primarily replicate dysmenorrhea and simulate menstruation, but they differ from human menstruation to some extent and cannot fully reflect the pathogenesis and physiological characteristics of PD. Moreover, except the cold coagulation and dampness stagnation syndrome and Qi stagnation and blood stasis syndrome, no animal models for other TCM syndromes have been reported, which limits comprehensive TCM research on this disease to a certain extent.
5.Association between household solid fuel use for cooking and depressive symptoms among middle-aged and elderly adults in rural China: Evidence from the China Family Panel Studies Database
Ting YANG ; Yong LIU ; Xufeng LI ; Yun GAI ; Zhihao XIE ; Junkui WANG ; Yong YU ; Jingxuan WANG
Journal of Environmental and Occupational Medicine 2025;42(8):926-931
Background Although current evidence suggests a link between outdoor air pollution and depressive symptoms, the effect of solid fuel use (a significant indoor air pollutant) on depressive symptoms in China's rural middle-aged and elderly population remains poorly understood. Objective To explore the association between solid fuel use for cooking and depressive symptoms among middle-aged and elderly people in rural areas of China, and to provide a basis for the prevention and control of depressive symptoms among residents in rural areas. Methods Data were obtained from the 2020 China Family Panel Studies (CFPS), depressive symptoms were assessed using 8-item Center for Epidemiologic Studies Depression Scale (CES-D), and cooking fuel type was self-reported. Subsequently, two-level binary unconditional logistic regression models were fitted to assess the impact of solid fuel use for cooking on depressive symptoms. Results A total of
6.Adolescent Smoking Addiction Diagnosis Based on TI-GNN
Xu-Wen WANG ; Da-Hua YU ; Ting XUE ; Xiao-Jiao LI ; Zhen-Zhen MAI ; Fang DONG ; Yu-Xin MA ; Juan WANG ; Kai YUAN
Progress in Biochemistry and Biophysics 2025;52(9):2393-2405
ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.
7.Clinical efficacy of antagonistic needling therapy on post-stroke lower limb spasticity and its effect on muscle morphology.
Ting YU ; Jianwei WANG ; Xinyu JIAO ; Bolei LI ; Xinhaoning ZHANG ; Pengyu ZHU
Chinese Acupuncture & Moxibustion 2025;45(2):139-145
OBJECTIVE:
To observe the effects of antagonistic needling therapy on lower limb spasticity and the muscle morphology of the tibialis anterior and gastrocnemius in patients with stroke.
METHODS:
A total of 100 patients with post-stroke lower limb spasticity were randomly divided into an antagonistic needling group (50 cases, 1 case dropped out) and a routine acupuncture group (50 cases, 1 case dropped out). Both groups received basic treatment and rehabilitation training. The routine acupuncture group was treated with scalp acupuncture at anterior oblique line of vertex-temporal and vertex lateral line 1, combined with body acupuncture at Jianyu (LI15), Hegu (LI4), Zusanli (ST36), Taichong (LR3), etc. on the affected side, with Quchi (LI11) and Hegu (LI4), Zusanli (ST36) and Fenglong (ST40), Yanglingquan (GB34) and Taichong (LR3) connected to an electroacupuncture device, using disperse wave at 2 Hz of frequency. The antagonistic needling group used the same scalp and upper limb acupoints as the routine acupuncture group, with additional antagonistic needling on the lower limb at Yanglingquan (GB34), Qiuxu (GB40), Jiexi (ST41), and Xuanzhong (GB39) on the affected side, with Quchi (LI11) and Hegu (LI4), Yanglingquan (GB34) and Qiuxu (GB40), Jiexi (ST41), and Xuanzhong (GB39) connected to an electroacupuncture device, using disperse wave at 2 Hz of frequency. Both groups received treatment once daily for 6 consecutive days per course, with a total of 4 courses. The modified Ashworth scale (MAS), Holden functional ambulation classification (FAC), lower limb Fugl-Meyer assessment (FMA), composite spasticity scale (CSS), and musculoskeletal ultrasound parameters (thickness and fiber length of the tibialis anterior and gastrocnemius, and pennation angle of the gastrocnemius on both sides) were evaluated before and after treatment. Clinical efficacy was compared between the two groups.
RESULTS:
Compared before treatment, the MAS grades and CSS scores were decreased in both groups after treatment (P<0.01), with greater reductions in the antagonistic needling group (P<0.05, P<0.01). FAC grades and FMA scores were increased in both groups after treatment (P<0.01, P<0.05), with greater improvements in the antagonistic needling group (P<0.05). The muscle thickness, fiber length of the tibialis anterior, the muscle thickness, fiber length and pennation angle of the gastrocnemius on the affected side were improved in both groups after treatment (P<0.01), with greater improvements in the antagonistic needling group (P<0.01, P<0.05). On the unaffected side, these parameters were also increased after treatment in both groups (P<0.01, P<0.05), but the antagonistic needling group showed smaller increases than the routine acupuncture group (P<0.01, P<0.05). The total effective rate in the antagonistic needling group was 91.8% (45/49), higher than 81.6% (40/49) in the routine acupuncture group (P<0.05).
CONCLUSION
Antagonistic needling could effectively reduce spasticity, improve motor function, and enhance muscle structure in patients with post-stroke lower limb spasticity.
Humans
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Male
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Female
;
Acupuncture Therapy
;
Middle Aged
;
Muscle Spasticity/pathology*
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Aged
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Stroke/physiopathology*
;
Lower Extremity/physiopathology*
;
Acupuncture Points
;
Adult
;
Muscle, Skeletal/pathology*
;
Treatment Outcome
8.Chinese expert consensus on integrated case management by a multidisciplinary team in CAR-T cell therapy for lymphoma.
Sanfang TU ; Ping LI ; Heng MEI ; Yang LIU ; Yongxian HU ; Peng LIU ; Dehui ZOU ; Ting NIU ; Kailin XU ; Li WANG ; Jianmin YANG ; Mingfeng ZHAO ; Xiaojun HUANG ; Jianxiang WANG ; Yu HU ; Weili ZHAO ; Depei WU ; Jun MA ; Wenbin QIAN ; Weidong HAN ; Yuhua LI ; Aibin LIANG
Chinese Medical Journal 2025;138(16):1894-1896
9.Innovative strategies for improving CAR-T cell therapy: A nanomedicine perspective.
Mengyao WANG ; Zhengyu YU ; Liping YUAN ; Peipei YANG ; Caixia JING ; Ying QU ; Zhiyong QIAN ; Ting NIU
Chinese Medical Journal 2025;138(21):2769-2782
Chimeric antigen receptor T (CAR-T) cells have reshaped the treatment landscape of hematological malignancies, offering a potentially curative option for patients. Despite these major milestones in the field of immuno-oncology, growing experience with CAR-T cells has also highlighted several limitations of this strategy. The production process of CAR-T cells is complex, time-consuming, and costly, thus leading to poor drug accessibility. The potential carcinogenic risk of viral transfection systems remains a matter of controversy. Treatment-related side effects, such as cytokine release syndrome, can be life-threatening. And the biggest challenge is the inadequate efficacy related to poor infiltration and retention of CAR-T cells in tumor tissues and impaired T cell activation caused by the immunosuppressive tumor microenvironment (TME). Innovative strategies are urgently needed to address these problems, and nanomedicine offers good solutions to these challenges. In this review, we provide a comprehensive summary of recent advancements in the application of nanomaterials to enhance CAR-T cell therapy. We examine the role of innovative nanoparticle-based delivery systems in the production of CAR-T cells, with a particular focus on polymeric delivery systems and lipid nanoparticles (LNPs). Furthermore, we explore various strategies for delivering immune stimulators, which significantly enhance the efficacy of CAR-T cells by modulating T cell viability and functionality or by reprogramming the immunosuppressive TME. In addition, we discuss several novel therapeutic approaches aimed at mitigating the adverse effects associated with CAR-T therapies. Finally, we offer an integrated perspective on the future challenges and opportunities facing CAR-T therapies.
Humans
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Nanomedicine/methods*
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Receptors, Chimeric Antigen/metabolism*
;
Immunotherapy, Adoptive/methods*
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T-Lymphocytes/immunology*
;
Nanoparticles/chemistry*
;
Animals
10.A new tetralone glycoside in leaves of Cyclocarya paliurus.
Ting-Si GUO ; Qin HUANG ; Qi-Qi HU ; Fei-Bing HUANG ; Qing-Ling XIE ; Han-Wen YUAN ; Wei WANG ; Yu-Qing JIAN
China Journal of Chinese Materia Medica 2025;50(1):146-167
The chemical constituents from leaves of Cyclocarya paliurus were isolated and purified by chromatography on silica gel, C_(18) reverse-phase silica gel, and Sephadex LH-20 gel, as well as semi-preparative high-performance liquid chromatography. Six compounds were identified by UV, IR, NMR, MS, calculated ECD, and comparison with literature data as cyclopaloside D(1), boscialin(2),(5R,6S)-6-hydroxy-6-[(E)-3-hydroxybut-1-enyl]-1,1,5-trimethylcyclohexanone(3), 3S,5R-dihydroxy-6R,7-megastigmadien-9-one(4), 3S,5R-dihydroxy-6S,7-megastigmadien-9-one(5), and gingerglycolipid A(6), respectively. Among them, compound 1 was identified as a new tetralone glycoside, and compounds 2-6 were isolated from leaves of C. paliurus for the first time. Furthermore, compound 1 exhibited strong antioxidant activity, with the IC_(50) of(454.20±31.81)μmol·L~(-1) and(881.82±42.31)μmol·L~(-1) in scavenging DPPH and ABTS free radicals, respectively.
Plant Leaves/chemistry*
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Glycosides/isolation & purification*
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Juglandaceae/chemistry*
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Tetralones/isolation & purification*
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Drugs, Chinese Herbal/isolation & purification*


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