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Published Research Papers

Showing 24 of 1542 peer-reviewed translated articles (Page 11 of 65)

Pathogenesis and potential therapeutic targets of idiopathic pulmonary fibrosis: analysis of data from a large-scale genome-wide association studyGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Pathogenesis and potential therapeutic targets of idiopathic pulmonary fibrosis: analysis of data from a large-scale genome-wide association study

BACKGROUND: The gut–lung axis has emerged as a critical factor in the development of various pulmonary diseases. However, its role in idiopathic pulmonary fibrosis (IPF) remains insufficiently investigated, and the underlying causal relationships are yet to be clarified. This study integrates genome-wide association studies (GWAS), expression quantitative trait loci (eQTL) analysis, and colocalization-based molecular docking to comprehensively assess how gut microbiota may influence IPF through immune regulation, inflammatory mediators, and metabolic pathways. The research aims to provide mechanistic insights from genetic, transcriptional, and pharmacological perspectives. OBJECTIVE: To explore the causal relationship between gut microbiota and IPF, to elucidate the mediating effects of immune cells, inflammatory proteins, and circulating metabolites, to screen key microbial taxa and potential target genes, and to predict candidate therapeutic agents that may contribute to early diagnosis and drug development for IPF. METHODS: Using publicly available GWAS summary statistics for gut microbiota (473 species), immune cells (731 types), inflammatory proteins (91), metabolites (233), and IPF data from Finnish and eQTLGen databases, we performed univariate Mendelian randomization (MR) with inverse variance weighting and sensitivity analyses to explore causal links. Two-step mediation MR assessed whether immune cells, inflammatory proteins, and metabolites mediate the gut microbiota–IPF relationship. Additionally, MR and summary-data-based MR (SMR) were used to investigate causal relationships between gut microbiota and gene expression, followed by colocalization and druggability prediction, with molecular docking validation. RESULTS AND CONCLUSION: Bacteroides faecis, Megasphaera, and Pandoraea abundances showed causal relationships with IPF. B. faecis mediated IPF risk via 18:2 linoleic acid ratio and multiple CD4+ T cell subsets; Pandoraea risk was also influenced by different CD4+ T cell subsets; Megasphaera exerted protective effects mainly through interleukin-33, low-density lipoprotein-related metabolites, and CD4-CD8- T cell subsets. Further analysis identified GNF-Pf-2272, 5155877, and PpIX as potential drugs targeting KDM4C, CBR3, and YWHAG. Although the IPF GWAS data were predominantly from European populations, given the commonality of human genetic backgrounds across core pathways, these findings provide valuable reference for exploring gut microbiota modulation to reduce IPF risk in Chinese populations.

Read Full Abstract10.12307/2026.21373
Biomechanical analysis of titanium alloy porous spacer-enhanced high tibial osteotomy versus conventional T-shaped plate and bone graftingGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Biomechanical analysis of titanium alloy porous spacer-enhanced high tibial osteotomy versus conventional T-shaped plate and bone grafting

BACKGROUND: High tibial osteotomy is an effective treatment for certain patients with knee osteoarthritis; however, traditional T-shaped plates have multiple limitations. OBJECTIVE: To compare the biomechanical performance of titanium alloy porous blocks with that of conventional T-shaped plates and bone grafting schemes in high tibial osteotomy using finite element analysis. METHODS: A computer simulation experiment was conducted, performing three-dimensional finite element analysis on a 55-year-old male patient who underwent high tibial osteotomy. Three different implant geometries were constructed: a conventional T-shaped plate high tibial osteotomy model (Model A), a bone graft–augmented high tibial osteotomy model (Model B), and a titanium alloy porous block–augmented high tibial osteotomy model (Model C). These models were used to evaluate the effects of each implant on total displacement and stress distribution under two loading conditions: standing and initial rising from a seated position. RESULTS AND CONCLUSION: (1) Validation results confirmed that the finite element models were effective. (2) In terms of stability, Model C (titanium alloy porous block–augmented high tibial osteotomy) demonstrated the best reduction in total displacement, with maximum displacements under both standing and rising conditions significantly lower than those of the other two models. (3) Stress analysis revealed that Model C had the lowest T-shaped plate stress levels, (40.9±36.5) MPa (standing) and (66.1±44.7) MPa (rising), reduced by 91.2% and 92.9% compared to Model A; additionally, the average stress at the lateral hinge site was significantly lower than Models A and B, indicating an advantage in reducing lateral hinge fracture risk. Stress distribution at the proximal osteotomy contact surface and hinge site showed that Model C had better stress stimulation effects, promoting bone healing while reducing hinge fracture risk. (4) These findings suggest that the titanium alloy porous block not only enhances initial stability of the surgical area but also optimizes stress transmission pathways and provides a favorable biocompatible environment, offering a new approach to address the limitations of existing plates in mechanical stability and biological fusion, with potential clinical application value.

Read Full Abstract10.12307/2026.21386
A systematic review and network meta-analysis of neuromodulation techniques for promoting upper limb motor function after strokeGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

A systematic review and network meta-analysis of neuromodulation techniques for promoting upper limb motor function after stroke

OBJECTIVE: This study aimed to systematically compare the efficacy and safety of various neuromodulation techniques for upper limb motor function recovery after stroke, and to rank the relative advantages of different interventions through a network meta-analysis, thereby providing evidence-based guidance for clinical rehabilitation. METHODS: A comprehensive literature search was conducted in CNKI, WanFang, VIP, CBM, PubMed, EMbase, Web of Science, and Cochrane Library from inception to August 2025. Randomized controlled trials investigating different neuromodulation techniques for post-stroke upper limb motor impairment were included. Control group received sham stimulation or conventional rehabilitation, while trial group received additional neuromodulation therapies. The methodological quality of included studies was assessed using the Cochrane Risk of Bias Tool. Network meta-analyses were performed using Stata 16.0 and RevMan 5.4 software. RESULTS: A total of 51 randomized controlled trials were included, covering 12 neuromodulation stimulation modalities. Network meta-analysis results showed that compared with conventional treatment, high-frequency repetitive transcranial magnetic stimulation (MD=11.50, 95%CI: 6.83-16.16, P < 0.05) was most effective in improving basic upper limb motor function recovery; continuous theta burst stimulation (MD=12.10, 95%CI: 44.99-19.21, P < 0.05; MD=9.60, 95%CI: 1.32-17.88, P < 0.05) was most effective in improving the practicality and dexterity of upper limb function; and cathodal transcranial direct current stimulation (MD=15.40, 95%CI: 0.03-30.77, P < 0.05; MD=-0.83, 95%CI: -1.64 to -0.03, P < 0.05) was most effective in improving daily living activity limitations or with obvious spasticity. CONCLUSION: When the goal is to promote basic upper limb motor function recovery, high-frequency repetitive transcranial magnetic stimulation is most effective; for improving the practicality and dexterity of upper limb function, continuous theta burst stimulation is most effective; and for patients with impaired daily living ability accompanied by obvious spasticity, cathodal transcranial direct current stimulation is most effective.

Read Full Abstract10.12307/2026.21376
A network meta-analysis of effects of non-invasive neuromodulation techniques on language function in patients with aphasia after strokeGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

A network meta-analysis of effects of non-invasive neuromodulation techniques on language function in patients with aphasia after stroke

OBJECTIVE: Many studies have shown that non-invasive neuromodulation techniques can effectively improve the symptoms of non-fluent aphasia after stroke. However, the optimal stimulation protocols for these techniques still need to be further verified and explored. This article used a network meta-analysis method to systematically evaluate the effects of different non-invasive neuromodulation techniques on improving the language function of patients with non-fluent aphasia after stroke. METHODS: The CNKI, WanFang, VIP, CBM, PubMed, Cochrane Library, Embase, and Web of Science databases were searched for randomized controlled trials on the treatment of non-fluent aphasia after stroke with non-invasive neuromodulation techniques, with the search deadline of June 1, 2025. The control group received conventional treatment or sham stimulation, while the experimental group received non-invasive neuromodulation techniques in addition to the control treatment. Outcome measures included the Western Aphasia Battery, Chinese Aphasia Battery, and Communicative Abilities in Daily Living Scale. Stata 17.0 software was used for traditional meta-analysis and network meta-analysis, and GRADE was used to evaluate the evidence level of outcome measures. RESULTS: A total of 33 randomized controlled trials involving 10 non-invasive neuromodulation methods were included. (1) Traditional meta-analysis results showed that low-frequency repetitive transcranial magnetic stimulation (rTMS) over the right Broca's area, transcranial direct current stimulation (tDCS) over bilateral Broca's area, and tDCS over the left Broca's area improved Western Aphasia Battery scores (P < 0.001); low-frequency rTMS over the right Broca's area, low-frequency rTMS over the posterior superior temporal gyrus, and low-frequency rTMS over the right Broca's area combined with high-frequency rTMS over the left Broca's area improved Chinese Aphasia Battery scores (P < 0.05); low-frequency rTMS over the right Broca's area, tDCS over bilateral Broca's area, continuous theta burst stimulation over the right Broca's area combined with intermittent theta burst stimulation over the left Broca's area, high-frequency rTMS over the right Broca's area, and low-frequency rTMS over the right Broca's area combined with high-frequency stimulation over the left Broca's area improved Communicative Abilities in Daily Living Scale scores (P < 0.05). (2) Network meta-analysis results showed that low-frequency rTMS over the right Broca's area was more effective in improving Western Aphasia Battery scores [SMD=1.13, 95%CI(0.59, 1.67), P < 0.05] and Chinese Aphasia Battery scores [SMD=4.73, 95%CI(1.28, 8.18), P < 0.05], while tDCS over bilateral Broca's area was more effective in improving Communicative Abilities in Daily Living Scale scores [SMD=1.81, 95%CI(0.51, 2.12), P < 0.05]. (3) GRADE evidence level evaluation showed that the evidence levels for Western Aphasia Battery, Chinese Aphasia Battery, and Communicative Abilities in Daily Living Scale outcome measures were all low. CONCLUSION: Different non-invasive neuromodulation techniques can improve the language function of patients with non-fluent aphasia after stroke. Low-frequency rTMS over the right Broca's area has significant efficacy in improving multi-dimensional language function, especially in spontaneous speech coherence, auditory comprehension accuracy, and naming fluency; tDCS over bilateral Broca's area is more focused on improving patients' daily communication ability. However, the results are affected by the quantity and quality of included studies, and the evidence level is low, requiring more high-quality studies for further verification.

Read Full Abstract10.12307/2026.21375
Meta-analysis of robot-assisted walking training on lower limb motor function improvement in Parkinson's disease patientsGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Meta-analysis of robot-assisted walking training on lower limb motor function improvement in Parkinson's disease patients

OBJECTIVE: Studies have confirmed that robot-assisted walking training can effectively improve motor function in patients with neurological diseases such as stroke, spinal cord injury, and multiple sclerosis. Currently, different robot-assisted gait training devices differ in design and function, but their impact on Parkinson's disease patients remains unclear. Different robots can provide different motion parameters, motion frequencies, and training modes, but related research is scarce. Therefore, this article systematically evaluates the impact of robot-assisted walking training on lower limb motor function in Parkinson's disease patients. METHODS: Randomized controlled trials addressing the impact of robot-assisted walking training on lower limb motor function in Parkinson's disease patients were searched in English databases (PubMed, Web of Science, Embase, Cochrane Library) and Chinese databases (CNKI, VIP, Wanfang) from inception to April 20, 2025. Methodological quality was assessed using the Cochrane Risk of Bias tool, and meta-analysis was performed using RevMan 5.3 software. RESULTS: A total of 12 studies involving 526 patients were included. Meta-analysis showed that compared with the control group, robot-assisted walking training significantly improved Berg Balance Scale scores (MD=4.08, 95%CI 2.59 to 5.58, P<0.00001), Activities-specific Balance Confidence Scale scores (MD=4.31, 95%CI 2.97 to 5.83, P<0.00001), 6-minute walk test distance (MD=32.62, 95%CI 13.41 to 51.83, P=0.0009), Timed Up and Go test time (MD=-1.88, 95%CI -2.58 to -1.18, P<0.00001), cadence (MD=2.98, 95%CI 0.67 to 5.29, P=0.01), stride length (MD=9.11, 95%CI 7.06 to 11.15, P<0.00001), gait speed (MD=0.04, 95%CI 0.02 to 0.06, P=0.0001), Unified Parkinson's Disease Rating Scale part II score (MD=-2.05, 95%CI -2.55 to -1.55, P<0.00001), and part III score (MD=-3.73, 95%CI -4.17 to -3.29, P<0.00001). CONCLUSION: Robot-assisted walking training can effectively improve lower limb motor function in Parkinson's disease patients, specifically enhancing balance and walking ability, and improving gait parameters. Notably, intervention periods of 8 weeks or more showed greater improvements in walking endurance (6-minute walk test) and dynamic balance (Timed Up and Go test), with an average increase in gait speed of 0.04 m/s and stride length of 9.11 cm. However, large-sample, high-quality randomized controlled trials are still needed for further verification.

Read Full Abstract10.12307/2026.21374
Comparison of biomechanical differences between cervical rotation and rotation-traction manipulations using finite element analysisGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Comparison of biomechanical differences between cervical rotation and rotation-traction manipulations using finite element analysis

BACKGROUND: Currently, the biomechanical differences between cervical rotation manipulation and cervical rotation-traction manipulation for the treatment of cervical radiculopathy have not been systematically elucidated. OBJECTIVE: To compare the biomechanical differences between cervical rotation manipulation and cervical rotation-traction manipulation in the treatment of cervical spondylotic radiculopathy caused by cervical disc herniation, and to provide a basis for the rational selection of manipulation in clinical practice. METHODS: A 27-year-old Asian male patient with cervical spondylotic radiculopathy caused by left posterior cervical disc herniation compressing the nerve root was recruited. The CT scan data of the skull and cervical spine were extracted to construct a finite element model of the head and full cervical spine. After model validation, the key parameters of cervical rotation manipulation and rotation-traction manipulation were loaded into the model, and the effects of the two manipulations on the stress of intervertebral disc, facet joints, spinal cord and nerve roots, disc displacement, and intervertebral foramen volume were compared. RESULTS AND CONCLUSION: (1) In terms of Von-Mise stress, the maximum stresses of cervical rotation manipulation on the annulus fibrosus, nucleus pulposus, and facet joints were 0.903, 0.139, and 2.186 MPa, respectively, which were significantly increased by 18%, 13%, and 30% compared with rotation-traction manipulation (0.765, 0.123, 1.682 MPa); while the maximum stress on the spinal cord and nerve roots was 2.547 MPa, which was 7% lower than that of rotation-traction manipulation (2.738 MPa). (2) In terms of displacement, the maximum forward displacement of the herniated side of the intervertebral disc by cervical rotation manipulation was 1.067 mm, which was 11.1% more than that of rotation-traction manipulation (0.960 mm). (3) In terms of intervertebral foramen volume changes, both manipulations increased the volume after implementation compared with before, with rotation manipulation increasing by 15.5% and rotation-traction manipulation increasing by 19.8%, the latter being more effective in expanding the intervertebral foramen volume. (4) It is suggested that cervical rotation manipulation has advantages in promoting the forward displacement of the herniated disc, but it produces higher stress on the intervertebral disc and facet joints, which may easily cause disc damage; rotation-traction manipulation will cause slightly higher stress on the spinal cord and nerve roots, but it can more effectively expand the intervertebral foramen volume and reduce the risk of disc structural damage. In clinical treatment, the advantages and disadvantages of the two manipulations should be carefully weighed and selected based on the patient's specific condition.

Read Full Abstract10.12307/2026.21381
Finite element analysis of the effect of morphological differences in endplate defects on biomechanics of lumbar intervertebral discsGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Finite element analysis of the effect of morphological differences in endplate defects on biomechanics of lumbar intervertebral discs

BACKGROUND: Endplate defects are one of the important causative factors of lumbar degeneration, and their morphological characteristics may significantly affect the local mechanical environment of the spine. However, the effects of their different morphologic defects on the biomechanical properties of the lumbar spine have not been fully elucidated. OBJECTIVE: To investigate the effects of focal marginal defects, focal central defects, and angular defects on the stress distribution of lumbar endplates, intervertebral discs, and small joints, and to reveal their underlying biomechanical mechanisms. METHODS: Lumbar CT images were obtained from a healthy 36-year-old male volunteer, and a complete endplate model of the L4-L5 segment was reconstructed. Three typical endplate defect models (focal marginal defect, focal central defect, and angular defect) were constructed based on the classification of vertebral endplate defects in clinical imaging studies. By applying dynamic loads and corresponding moments to simulate physiological spinal muscle loads and typical motion loads, such as stance, forward flexion, backward extension, lateral bending, and rotation, the biomechanical stress distribution characteristics and peak changes in the vertebral cartilage endplates, intervertebral disc annulus fibrosus, nucleus pulposus, and facet joints during physiological spinal movements were evaluated. The effects of different defect types on the biomechanical stability of the lumbar spine were explored. RESULTS AND CONCLUSION: (1) Different defect types significantly altered the stress transmission pathways of the endplate and adjacent structures; marginal defects mainly affected the lateral annulus fibrosus stress distribution, while central defects significantly changed load bearing during extension. (2) There was obvious stress gradient concentration at the defect edges, suggesting potential microdamage risk. (3) Angular endplate defects produced significant stress concentration under dynamic loads, possibly being one of the high-risk factors leading to segmental instability and accelerated degeneration. (4) The experimental results provide biomechanical evidence for the involvement of endplate defects in intervertebral disc degeneration and facet joint damage, and have important guiding value for early clinical identification of high-risk defect types and formulation of targeted prevention strategies.

Read Full Abstract10.12307/2026.21384
Construction and validation of a deep learning prediction model for cervical instabilityGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Construction and validation of a deep learning prediction model for cervical instability

BACKGROUND: Early prediction of cervical instability is crucial for the prevention and treatment of cervical spondylosis, and deep learning technology can provide robust support for intelligent prediction of cervical instability. OBJECTIVE: To develop a deep learning model of cervical instability based on cervical magnetic resonance imaging for early intelligent prediction of cervical instability. METHODS: This study recruited young and middle-aged participants (18-45 years), including both cervical instability patients and healthy controls, through the Spine Department Outpatient Clinic of Wangjing Hospital, China Academy of Chinese Medical Sciences, as well as community-based recruitment. All participants underwent cervical magnetic resonance imaging examinations. On the axial magnetic resonance imaging images, five key anatomical structures were manually annotated: intervertebral disc, facet, prevertebral muscle, deep muscle group in the back of the neck, and superficial muscle group in the back of the neck. A deep learning algorithm was then employed to develop a predictive model for cervical instability, utilizing both the original images and the delineated regions of interest. Finally, the model's predictive performance was systematically evaluated and validated. RESULTS AND CONCLUSION: (1) The study included a total of 308 young and middle-aged participants, comprising 196 individuals with cervical instability and 112 healthy controls. Based on enrollment time, the subjects' data were allocated to either the model training set or the test set. (2) The model demonstrated high predictive performance, with an area under the curve values of 0.97, an F1-score of 0.98, a precision of 0.98, and a recall of 0.97 in the training set. In the test set, these values were 0.97, 0.95, 1.00, and 0.90, respectively. (3) The results indicate that the deep learning model based on cervical magnetic resonance images can achieve early intelligent prediction of cervical instability with high predictive performance.

Read Full Abstract10.12307/2026.21382
Research hotspots and trends of optogenetics in behavioral neuroscienceGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Research hotspots and trends of optogenetics in behavioral neuroscience

BACKGROUND: Optogenetics has achieved considerable advances in emotion regulation, reward mechanisms, social behavior, and motor control, demonstrating broad prospects for investigating the pathological mechanisms underlying various neuropsychiatric disorders, including depression, autism spectrum disorder, Parkinson’s disease, and epilepsy. OBJECTIVE: To analyze the global scientific collaboration network of optogenetics in behavioral neuroscience, identify key research foci, and explore future research directions. METHODS: A bibliometric analysis was performed using CiteSpace and VOSviewer software to perform a visualized analysis of relevant literature indexed in the Web of Science Core Collection from January 2010 to December 2024. RESULTS AND CONCLUSION: (1) A total of 859 articles were included, involving 47 countries, 834 research institutions, and 5 525 authors, and 125 journals. Since 2020, the annual number of publications in optogenetics in behavioral neuroscience has increased significantly, indicating that this field has entered a stage of rapid development. The United States and European high-income countries are leading in research output and academic influence. The Chinese Academy of Sciences, Stanford University, Columbia University, University of California San Diego, and University of Washington are core institutions in the collaboration network. Deisseroth Karl, Stuber Garret D., and Duan Shumin are representative high-yield authors. (2) Optogenetics in behavioral neuroscience has initially formed a stable international collaboration network, with high-income countries playing a leading role in technological innovation and theoretical guidance. Research hotspots mainly focus on emotion regulation, reward and motivation mechanisms, and social behavior modeling. Future research hotspots are expected to focus on neural regulation of sleep comorbid emotional disorders and higher cognitive functions such as social cognition and decision-making, showing an overall trend from basic mechanisms to complex behavioral systems and from single-modal intervention to multimodal integration.

Read Full Abstract10.12307/2026.21357
Research context and trend of TANK binding kinase 1 in autoimmunity and tumor prevention and treatmentGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Research context and trend of TANK binding kinase 1 in autoimmunity and tumor prevention and treatment

BACKGROUND: The research results on TANK binding kinase 1, a bi-directional tumor regulator, have been increasing yearly, but there is no bibliometric literature to analyze the information in the literature related to TANK binding kinase 1. OBJECTIVE: To explore the research status, hot spots, and trends of TANK binding kinase 1 based on bibliometric analysis. METHODS: We collected literature related to TANK binding kinase 1 in the last 10 years based on the SCIE database in the Web of Science Core Collection. The data were imported into CiteSpace 6.3.R1 and analyzed bibliometrically and visually with five options: country, author, institution, reference, and keyword. In addition, Origin 2021 was used to plot the relevant statistical graphs. RESULTS AND CONCLUSION: There was an upward trend in the number of publications and co-citations involved in TANK binding kinase 1 research. Dan-Dan Chen, Jian-Fang Gui, Qiwei Qin, and Shun Li were the four authors with the highest number of publications (n=11), while the Chinese Academy of Sciences, University of Chinese Academy of Sciences, Zhejiang University, Chinese Academy of Agricultural Sciences, and Wuhan University had a larger number of publications (> 50). The research hot spots of TANK binding kinase 1 in the last decade mainly focus on innate immunity, the cyclic gmp-amp synthase (cGAS)-stimulator of interferon genes (STING) pathway, NF-κB, inflammation, optineurin, expression, and cancer. The results indicate that scholars from various countries have conducted continuous and in-depth research in related fields in recent years, and TANK binding kinase 1 shows great scientific potential in autoimmune systems, signaling pathways, gene expression, and tumor prevention and treatment. However, academic cooperation among scholars and institutions is not close, and future scholars should strengthen cooperation and communication, grasp the research hotspots and trends of TANK binding kinase 1, expand the scope of research in disease fields, and provide more evidence for further elucidating the pharmacological mechanisms and pathological changes of diseases.

Read Full Abstract10.12307/2026.21372
Sarcopenia and cognitive impairment: a data analysis based on European population databasesGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Sarcopenia and cognitive impairment: a data analysis based on European population databases

BACKGROUND: In recent years, multiple epidemiological studies have suggested a potential pathological link between sarcopenia and cognitive impairment. However, due to methodological limitations in traditional observational studies and difficulties in controlling confounding factors, their genetic-level causal relationship has not yet been fully elucidated. OBJECTIVE: To systematically analyze the causal relationship and underlying pathogenesis between sarcopenia and cognitive impairment in European populations using Mendelian randomization methods. METHODS: This study utilized genome-wide association study (GWAS) summary data for sarcopenia-related phenotypes (whole-body fat-free mass, hand grip strength, and walking speed) from the UK Biobank, and cognitive function GWAS summary data from the IEU database. After rigorous threshold filtering and linkage disequilibrium clumping, bidirectional Mendelian randomization analyses were performed. Forward analysis used sarcopenia-related traits as exposures and cognitive function as the outcome; reverse analysis swapped the direction. Inverse variance weighting was the primary analysis method, supplemented by weighted median, MR-Egger regression, and robust adjusted profile scoring. Heterogeneity and sensitivity analyses were conducted to ensure robustness. RESULTS AND CONCLUSION: Forward MR-IVW analysis showed that whole-body fat-free mass (OR=1.091, 95%CI: 1.001-1.188, P=0.045), left hand grip strength (OR=1.283, 95%CI: 1.077-1.527, P=0.005), right hand grip strength (OR=1.220, 95%CI: 1.022-1.456, P=0.027), and walking speed (OR=3.069, 95%CI: 1.997-4.717, P<0.001) were significantly positively associated with cognitive function. Reverse analysis showed that cognitive function had a significant positive causal effect only on walking speed (OR=1.023, 95%CI: 1.004-1.043, P=0.014), but not on fat-free mass or grip strength. Sensitivity analyses indicated some heterogeneity but no horizontal pleiotropy. The findings suggest a causal relationship between sarcopenia and cognitive impairment, indicating that sarcopenia may serve as a predictor for cognitive impairment, providing a theoretical basis for early clinical screening. This study, based on international public databases, offers new evidence for the association between sarcopenia and cognitive impairment in Chinese populations and has important reference value for early screening and prevention of both diseases.

Read Full Abstract10.12307/2026.21355
Association between plasma metabolites and osteoarthritisGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Association between plasma metabolites and osteoarthritis

BACKGROUND: In recent years, metabolic disorders have been confirmed to be closely related to the onset of osteoarthritis, but the causal relationship between plasma metabolites and osteoarthritis has not been systematically elucidated. OBJECTIVE: To explore the causal relationship between 1,400 plasma metabolites and 9 types of osteoarthritis using two-sample Mendelian randomization. METHODS: A genome-wide association study of 1,400 metabolites was used as the exposure. Nine types of arthritis, namely any-site osteoarthritis, early osteoarthritis, knee and/or hip osteoarthritis, knee osteoarthritis, hip osteoarthritis, spinal osteoarthritis, finger osteoarthritis, hand osteoarthritis, and thumb osteoarthritis, were set as the outcomes. Single nucleotide polymorphisms were used as instrumental variables, and sensitive single nucleotide polymorphisms were selected for Mendelian randomization analysis. The inverse variance weighted method was used as the main analysis approach. Meanwhile, four methods, namely MR-Egger, weighted median, simple mode, and weighted mode, were employed for cross-validation. MR-PRESSO, Cochran's Q test, and other methods were used for sensitivity and pleiotropy analyses. The false discovery rate method was used for further correction. RESULTS AND CONCLUSION: Mendelian randomization analysis showed that finger osteoarthritis, hand osteoarthritis, hip osteoarthritis, and spinal osteoarthritis had no results meeting FDR < 0.05. Any-site osteoarthritis, early osteoarthritis, knee and/or hip osteoarthritis, knee osteoarthritis, and thumb osteoarthritis were significantly causally associated with multiple metabolites. Metabolites such as glycine, serine, higenamine, and sulfate were closely related to multiple osteoarthritis types. Compared with some non-weight-bearing joint osteoarthritis (e.g., finger and hand osteoarthritis), plasma metabolites showed stronger sensitivity with weight-bearing joint osteoarthritis (e.g., knee and hip osteoarthritis). This study provides a theoretical basis for metabolic intervention strategies for osteoarthritis in the Chinese population and offers a methodological paradigm for mechanistic research on complex diseases in China.

Read Full Abstract10.12307/2026.21370
Metabolic dysfunction-related fatty liver disease: pathological mechanisms mediated by common and heterogeneous pathwaysGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Metabolic dysfunction-related fatty liver disease: pathological mechanisms mediated by common and heterogeneous pathways

BACKGROUND: In recent years, with the continuous maturity of the research system, metabolic dysfunction-related fatty liver disease has become independent from traditional non-alcoholic fatty liver disease. Its metabolic disorder background and heterogeneous disease progression patterns have updated the academic understanding of this type of disease. However, the relationship between the common occurrence mechanism of this type of disease and the pathological differences between individuals still needs to be further elucidated through systematic research. OBJECTIVE: To review the common pathways (such as insulin resistance and oxidative stress) commonly found in the pathological mechanism of metabolic dysfunction-related fatty liver disease, and to deeply explore its heterogeneous regulatory network (such as genetic variation and adipose tissue dysfunction), so as to analyze the interaction between the two. METHODS: A systematic search was conducted in Web of Science, PubMed, Embase, CNKI, Wanfang, and VIP databases for Chinese and English literature, with the search time limit from the establishment of each database to June 2025, focusing on the common metabolic disorder mechanisms, genetic/microenvironment heterogeneity pathways, and clinical phenotype classification of metabolic dysfunction-related fatty liver disease, sorting out relevant literature and integrating research evidence. RESULTS AND CONCLUSION: The pathological mechanism of metabolic dysfunction-related fatty liver disease revolves around the core of 'common pathways, heterogeneous regulation, dynamic interaction'. Among the common pathways, insulin resistance is the core link, which activates de novo lipogenesis in the liver, inhibits fatty acid oxidation, and jointly leads to abnormal lipid deposition in hepatocytes; activates the nuclear factor kappa B inflammatory pathway to aggravate hepatocyte injury, and upregulates the transforming growth factor beta pathway to promote liver fibrosis. The synergistic effects of oxidative stress and redox imbalance, and excessive fatty acid accumulation impair mitochondrial function, increase reactive oxygen species production, and destroy cell structure, while an imbalanced state (such as abnormal beta-hydroxybutyrate/acetoacetate ratio) further aggravates injury and promotes the progression of metabolic dysfunction-related fatty liver disease. In terms of heterogeneous regulation, PNPLA3 I148M inhibits triglyceride hydrolysis, TM6SF2 E167K reduces very low-density lipoprotein precursor secretion, independently driving the risk of metabolic dysfunction-related fatty liver disease, liver fibrosis, and cancer; adipose tissue dysfunction is key in lean metabolic dysfunction-related fatty liver disease, leading to ectopic fat deposition and decreased adiponectin levels; among the three metabolic subtypes, type A has lower cardiovascular risk, while types B/C progress rapidly in liver fibrosis. Therefore, the dynamic interaction between genetics, metabolism, and environment affects the disease trajectory, and differentiated intervention based on metabolic subtypes and genetic metabolic risk scores can provide theoretical support for precise risk stratification and personalized treatment of metabolic dysfunction-related fatty liver disease.

Read Full Abstract10.12307/2026.21352
Oxidative stress and osteoporosis: a bibliometric analysis of literature from SCI core databaseGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Oxidative stress and osteoporosis: a bibliometric analysis of literature from SCI core database

BACKGROUND: Oxidative stress, representing an imbalance between oxidative and antioxidant systems in the body, plays a crucial role in the pathogenesis of osteoporosis. However, a systematic analysis of the current research status and trends in the field of oxidative stress and osteoporosis is lacking. OBJECTIVE: To analyze the current research status, hot topics, and trends in the field of oxidative stress and osteoporosis using bibliometric methods. METHODS: The Web of Science core database was searched using “oxidative stress” and “osteoporosis” as search terms, with the language limited to “English” and the document type limited to “article” and “review article.” The search period was from January 1, 1999 to December 31, 2024. After screening the literature according to the inclusion and exclusion criteria, CiteSpace (6.3.R1) and VOSviewer (1.6.20) software were used for data analysis and visualization of publication volume, country, institution, author, journal, and keywords. RESULTS AND CONCLUSION: (1) Publication volume analysis: A total of 2 558 articles were retrieved, with 2 416 articles included. From 1999 to 2024, the number of publications in the field of oxidative stress and osteoporosis showed a significant increasing trend, especially after 2011, reflecting the gradual deepening and rising popularity of research in this field. (2) Country analysis: China ranked first with 1 088 publications, but the average citations per article were relatively low. The United States ranked second with 353 publications, but the average citations per article were as high as 74.62, demonstrating international influence in research quality. (3) Institution analysis: Chinese institutions dominated in publication volume, but the level of international cooperation needs improvement. Among them, Shanghai Jiao Tong University and Soochow University had extensive cooperation and high citation counts. (4) Author and co-cited author analysis: A few core authors such as Almeida and Manolagas had significant influence in this field, with extremely high citation counts and diverse collaboration models, dominated by international authors. (5) Journal analysis: American journals such as the Journal of Bone and Mineral Research occupied a core position in the field of osteoporosis and oxidative stress, with significant academic authority and influence. (6) Keyword analysis: The research core focused on the interaction mechanism between “osteoporosis” and “oxidative stress.” High-frequency keywords included “reactive oxygen species,” “inflammation,” “osteoblasts,” and “osteoclasts.” Keyword clustering analysis showed that research hotspots concentrated on inflammation, oxidative stress and bone metabolic imbalance, population and clinical studies, and the development and application of antioxidant therapy. (7) The field of oxidative stress and osteoporosis is growing rapidly. Although China occupies a dominant position, its international influence needs improvement. Future research should deeply analyze the oxidative stress signaling network, explore cross-disease interactions, develop novel antioxidants and therapeutic methods, promote precision medicine and multi-omics technology applications, and strengthen international cooperation and exchange, in order to provide more scientific and effective solutions for the prevention and treatment of osteoporosis.

Read Full Abstract10.12307/2026.21369
Bibliometric analysis of application of artificial intelligence in orthopedic imaging diagnosisGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Bibliometric analysis of application of artificial intelligence in orthopedic imaging diagnosis

BACKGROUND: In the process of applying artificial intelligence to orthopedic imaging, the technical system exhibits a clear hierarchical structure: machine learning is the primary pathway to achieving artificial intelligence, while convolutional neural networks, a branch of deep learning, have become the core model for image analysis. Clarifying this technical lineage helps to systematically review the research evolution and trends in this field through bibliometric methods. OBJECTIVE: To comprehensively analyze the research status and development trends of artificial intelligence in the field of orthopedic imaging based on bibliometric methods, providing ideas and methods for future research. METHODS: By searching the Web of Science Core Collection database, with keywords including artificial intelligence, deep learning, convolutional neural network, and orthopedic imaging, a total of 460 relevant English articles published between 2015 and 2025 were included. CiteSpace 6.4.R1, VOSviewer 1.6.20, and Bibliometrix software were used to conduct visual analysis from dimensions such as annual publication volume, country and institution distribution, author collaboration network, keyword co-occurrence, clustering, and burst word evolution. RESULTS AND CONCLUSION: (1) The number of publications in this field has steadily increased over the past 10 years. (2) China and the United States are the main publishing countries, with the United States showing outstanding performance in citation frequency and international collaboration influence; Sichuan University, the University of California, and Harvard University constitute a core collaborative institutional network. (3) Research hotspots mainly focus on bone age assessment, automated image segmentation, and the application of deep learning in fracture detection and osteoarthritis diagnosis. Related keywords such as bone age assessment, automated segmentation, and deep learning have continued to burst, indicating the evolutionary trajectory of research focus. (4) The research enthusiasm for artificial intelligence in orthopedic imaging continues to rise, with intelligent segmentation, disease grading, and multimodal data fusion being important future research directions. (5) This paper systematically reviews the field from a macro perspective, providing a reference for promoting the deep integration of artificial intelligence technology in orthopedic clinical practice; through bibliometric analysis, it constructs a knowledge map of the application of artificial intelligence in orthopedic imaging, systematically summarizes the research status and hotspots in this field, and aims to provide reference and guidance for future related research.

Read Full Abstract10.12307/2026.21368
Extracorporeal shock wave therapy: current research status, hotspots, and trendsGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Extracorporeal shock wave therapy: current research status, hotspots, and trends

BACKGROUND: Extracorporeal shock wave therapy, as a non-invasive and non-invasive treatment technique, is widely used in various fields. Currently, there is no systematic analysis of the latest research status, hot topics, and development trends in this field. OBJECTIVE: To analyze the research status, hotspots, and trends of extracorporeal shock wave therapy using bibliometric visualization software over the past 10 years. METHODS: Relevant literature in the field of extracorporeal shock wave therapy was retrieved from the Web of Science core database from January 1, 2015 to December 31, 2024. CiteSpace was used for analyzing publication volume, collaborations among countries/regions, institutions, and authors, citation analysis of journals and co-cited literature. Additionally, keyword co-occurrence, clustering, and burst analyses were conducted, and visualized knowledge maps were generated. RESULTS AND CONCLUSION: A total of 1 641 articles were included. The number of publications in the field of extracorporeal shock wave therapy is generally on the rise over the past 10 years. China, the United States, and Italy are the top three countries in terms of publication volume, while Chang Gung University, the University of California, and Harvard University are the top three research institutions. A total of 280 journals published articles related to extracorporeal shock wave therapy, among which Clinical Orthopaedics and Related Research was the most cited journal, and PLoS One had the highest centrality. The author with the highest publication volume was Wang, Ching-Jen from Chang Gung University, and there was little collaboration among high-yield authors and their research groups. The hot keywords in this field were mainly double-blind, pain, erectile dysfunction, plantar fasciitis, lateral epicondylitis, etc. Burst keywords included rabbit, ischemia, myocardial infarction, fasciopathy, muscle spasm, and erectile function, showing diversified research directions. Extracorporeal shock wave therapy is a non-invasive and safe treatment method. Pain management, musculoskeletal system diseases, and urological-related diseases are the research hotspots in the field of extracorporeal shock wave therapy in the past 10 years, and research on related mechanisms is also a focus of interest. Future research directions may focus on standard parameter research and long-term efficacy verification of extracorporeal shock wave therapy.

Read Full Abstract10.12307/2026.21367
Post-stroke rehabilitation robotics: current research status and hot topics in and outside ChinaGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Post-stroke rehabilitation robotics: current research status and hot topics in and outside China

BACKGROUND: In recent years, the research on stroke rehabilitation robots has developed rapidly both domestically and internationally. It involves the intersection of multiple disciplines such as rehabilitation medicine, artificial intelligence, virtual reality, and sensor technology, and has become a research hotspot in the field of stroke rehabilitation. OBJECTIVE: To grasp the current status and hotspots of research in this field through a comparative analysis of domestic and international studies, and to predict future development trends. METHODS: The Web of Science Core Collection and CNKI databases were selected as data sources to collect relevant literature on stroke rehabilitation robots from 2005 to 2025. CiteSpace 6.2.R3 visualization software and bibliometric methods were used to compare the annual publication volume, countries, and keywords of included studies, analyze differences between domestic and international research, and summarize and prospect frontier technologies. RESULTS AND CONCLUSION: A total of 3,522 English and 717 Chinese articles were included. From 2005 to 2025, 81 countries participated in research, forming a cross-continental cooperation network centered on the United States, China, and Italy. Publication trends showed a yearly increase both domestically and internationally, with an average annual growth rate of 13.06% internationally and 20.17% domestically, the latter being about 1.5 times faster. Research trends indicated that international research has gone through stages of mechanism exploration, clinical translation, and intelligent integration, currently focusing on multidisciplinary intersection and technology integration such as robot perception systems and machine learning. Domestic research started with technology introduction and clinical validation, gradually developing into intelligent integration and precise rehabilitation, with significant progress in multimodal fusion such as brain-computer interfaces and virtual reality in recent years. Research hotspots: international research mainly focuses on design optimization of robot technology and multimodal technology integration, while domestic research emphasizes the impact on functional outcomes after stroke. Additionally, international research is more advanced in neurophysiological signal fusion, advanced algorithms, and model construction, whereas domestic research shows unique advantages in combining rehabilitation technology with traditional Chinese medicine therapies. The results indicate that the field of stroke rehabilitation robots is in a rapid development stage, with technology integration and clinical translation being the core trends for future development. Although domestic and international research have different emphases, both are committed to improving the intelligence, lightweight design, and clinical practicality of rehabilitation robots. Domestic research started later but is developing rapidly, gradually building a multimodal technology system characterized by intelligent integration and precise rehabilitation. In the future, domestic and international research can complement each other, with China contributing clinical big data and application scenarios, and foreign countries providing core technologies and innovative methods, jointly advancing breakthroughs and applications in stroke rehabilitation robot technology.

Read Full Abstract10.12307/2026.21366
Molecular mechanisms of active compounds from Tripterygium wilfordii in prevention and treatment of rheumatoid arthritisGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Molecular mechanisms of active compounds from Tripterygium wilfordii in prevention and treatment of rheumatoid arthritis

BACKGROUND: Currently, traditional Chinese medicine has been proven to play a significant role in combating rheumatoid arthritis. The efficacy and mechanisms of active components of Tripterygium wilfordii against rheumatoid arthritis have gained increasing recognition among researchers. OBJECTIVE: To summarize the research progress on the anti-rheumatoid arthritis effects of active components from Tripterygium wilfordii in vitro and in vivo. METHODS: Relevant literature published from inception to March 2025 was retrieved from CNKI, WanFang, VIP, and PubMed databases. Search terms included “rheumatoid arthritis, synovial cells, bone erosion, osteoclast, Tripterygium wilfordii, signal path” in Chinese and English. Eighty-seven articles were ultimately selected for review. RESULTS AND CONCLUSION: (1) Triptolide effectively alleviates joint inflammation and inhibits the abnormal proliferation and migration of fibroblast-like synoviocytes. Triptolide inhibits the Janus kinase 2/signal transducer and activator of transcription 3 signaling pathway mediated by interleukin-6 and soluble interleukin-6 receptor, thereby suppressing downstream pro-inflammatory cytokines (e.g., interleukin-6, interleukin-17), and time-dependently inhibits the expression of circRNA0003353 in rheumatoid arthritis fibroblast-like synoviocytes, while increasing the level of anti-inflammatory cytokine interleukin-4, reducing cell viability and migration, demonstrating dual potential for anti-inflammatory and inhibition of pathological synovial hyperplasia. (2) Celastrol significantly reduces joint swelling, synovial hyperplasia, inflammatory cell infiltration, and bone erosion. Celastrol inhibits the reactive oxygen species/nuclear factor kappa B/NOD-like receptor pyrin domain-containing protein 3 signaling pathway, reducing secretion of pro-inflammatory cytokines interleukin-1β and interleukin-18 in serum and immune cells. In collagen-induced arthritis rat models, celastrol induces autophagy and inhibits the phosphatidylinositol 3 kinase/protein kinase B/mammalian target of rapamycin signaling pathway, significantly reducing levels of inflammatory cytokines such as tumor necrosis factor α and interleukin-1β, exerting cytoprotective and anti-inflammatory effects. (3) Wilforine can inhibit the inflammatory response of rheumatoid arthritis and potentially affect bone metabolism. In collagen-induced arthritis rat models, wilforine significantly downregulates levels of interleukin-6, interleukin-1β, and tumor necrosis factor α, and exerts therapeutic effects by inhibiting the abnormally activated Wnt/β-catenin signaling pathway. (4) The active components of Tripterygium wilfordii show good therapeutic effects in rheumatoid arthritis, but the mechanisms are complex, involving interactions of multiple genes, proteins, and signaling pathways. Current research has not fully elucidated the specific mechanisms, limiting their widespread clinical application. Future research should further explore the molecular mechanisms of active components and conduct large-scale clinical trials to verify efficacy and safety, while exploring combination strategies with other drugs to achieve better therapeutic outcomes.

Read Full Abstract10.12307/2026.21323
Signaling pathways associated with dopaminergic neuronal axonal degeneration in Parkinson's diseaseGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Signaling pathways associated with dopaminergic neuronal axonal degeneration in Parkinson's disease

BACKGROUND: Clarifying the interactions between multiple signaling pathways and axonal pathological alterations, and elucidating the role and mechanisms of axonal degeneration in the onset and progression of Parkinson's disease will pave the way for research on the pathogenesis and pathological mechanisms of Parkinson's disease centered around axonal degenerative changes. OBJECTIVE: Through in-depth analysis of the roles and interactions of the signaling pathways mentioned in this review during the occurrence and development of Parkinson's disease, to uncover potential clinical early warning mechanisms and explore novel strategies for prevention and treatment, including targeted gene sites, drug therapy, and rehabilitation interventions. METHODS: A search of the PubMed database was conducted using the following keywords: "Parkinson, PD, axonal regeneration, aging, α-syn, pathological mechanism, autopsy, mitochondria, ER stress, inflammatory response, Nrf2/ Keap1, BDNF, NGF, NT3/TrkC, GDNF, RhoA, Rac/Cdc42, Wnt/β-catenin, SHH, Notch, Slit-Robo, Ephrin, Netrin, Semaphorin, integrin, ubiquitin-proteasome, autophagy-lysosome, apoptosis, exercise." Another search of CNKI database was conducted using the search terms of "Parkinson's, axonal degeneration, exercise, oxidative stress, brain-derived neurotrophic factor." Literature was screened based on inclusion and exclusion criteria, and 101 articles were finally included for review and analysis. RESULTS AND CONCLUSION: Studies have shown that Parkinson's disease lesions initially occur in the limbic system region of the brain or the olfactory bulb, and that early axonal degeneration usually precedes cytosolic degeneration. Abnormal protein folding and aggregation, mitochondrial dysfunction, endoplasmic reticulum stress, and inflammatory responses may directly lead to axonal damage; meanwhile, cellular stress responses, neurotrophic factors, cytoskeletal regulation, development and regeneration, axonal growth and guidance, and clearance of abnormal proteins contribute to the repair of damaged axons. Therefore, prevention and treatment strategies for Parkinson's disease should focus on promoting the activation and expression of repair pathways, such as the use of quinacrine and niclosamide or exercise-induced activation of brain-derived neurotrophic factor and other axonal repair pathways, which can effectively promote axonal repair; at the same time, inhibiting abnormal activation of damage pathways is also a key strategy, including knocking out α-synuclein, Parkin genes or using drugs such as empagliflozin to reduce oxidative stress and inflammatory responses, potentially delaying the progression of Parkinson's disease.

Read Full Abstract10.12307/2026.21350
Single hyperbaric oxygen for exercise-induced fatigue: an evaluation using conventional monitoring indicatorsGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Single hyperbaric oxygen for exercise-induced fatigue: an evaluation using conventional monitoring indicators

BACKGROUND: Currently, the research on the fatigue elimination effect of hyperbaric oxygen therapy mainly involves two forms: single-session intervention and periodic multiple intervention, with the application research of single therapy being the main focus. However, the effectiveness of single-session hyperbaric oxygen therapy on exercise-induced fatigue remains controversial, affecting its application in sports training. OBJECTIVE: To summarize the intervention effect of a single hyperbaric oxygen therapy on exercise-induced fatigue from two aspects: the commonly used biochemical monitoring indicators and physiological monitoring indicators for exercise-induced fatigue, and proposes corresponding application strategies based on the current research status and training practice. METHODS: A literature search was conducted in Chinese databases (CNKI, Wanfang) and English databases (PubMed) using combinations of keywords such as 'hyperbaric oxygenation', 'micro-barometric oxygen', 'oxygen therapy', 'micro-hyperbaric oxygen' with 'exercise fatigue', 'high intensity exercise', 'heart rate', 'heart rate variability', 'rating of perceived exertion', 'blood urea', 'creatine kinase', 'testosterone', 'cortisol', 'white blood cell', 'hemoglobin'. The search period was from January 2001 to June 2025, and 62 articles were finally included for review. RESULTS AND CONCLUSION: (1) Single-session hyperbaric oxygen intervention can promote the elimination of exercise-induced fatigue, but its intervention effect on commonly used physiological monitoring indicators is better than that on biochemical indicators. The differences in fatigue type and fatigue degree (differences in fatigue induction protocols), insufficient dosage of hyperbaric oxygen, and metabolic characteristics of biochemical indicators in the body may be the main factors causing this issue. (2) In view of the current research status, it is recommended that future research should be conducted in the following directions: 'comprehensively comparing the advantages and disadvantages of different hyperbaric oxygen modes', 'deeply comparing the intervention effects of different hyperbaric oxygen intervention times on exercise-induced fatigue', 'clarifying the intervention effect of single-session hyperbaric oxygen therapy during non-acute exercise fatigue period', and 'establishing a comprehensive evaluation index system for the intervention effect of hyperbaric oxygen'.

Read Full Abstract10.12307/2026.21327
Evolution, development and molecular regulation of fish toothGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Evolution, development and molecular regulation of fish tooth

BACKGROUND: Fish tooth serves as a pivotal model for depicting evolution and development of vertebrate and human tooth. Recent advancements in molecular developmental biology have provided new insights in the developmental homology between the teeth and scales of fish, as well as the signaling pathways involved. However, comparative studies across species and integration of evolutionary mechanisms require further exploration. OBJECTIVE: To synthesize the evolutionary origins, morphological diversification, and molecular regulatory mechanisms of fish dentition, while critically comparing core propositions and limitations of existing hypotheses. METHODS: A systematic literature search was conducted using PubMed and China National Knowledge Infrastructure databases with search terms “fish teeth, teeth development, evolution of teeth, molecular regulation of teeth” in both English and Chinese. Articles published between 1970 and 2025 were screened. According to the inclusion criteria, 77 articles were ultimately included for comprehensive analysis. RESULTS AND CONCLUSION: Molecular evidence supports the revised “outside-in” hypothesis, confirming that ectodermal scales and endodermal mesenchyme synergistically evolve to form teeth. Fish dentin is classified into four types: orthodentin, osteodentin, pseudodentin, and vascular dentin. In cartilaginous fish, enameloid mineralization is initiated by tubular vesicles secreted by odontoblasts, whereas in teleosts, collagen fibers guide crystal growth, indicating an evolutionary transition from vesicle-mediated to collagen-templated enameloid mineralization. Sonic hedgehog signaling precisely regulates tooth replacement sites in cartilaginous fish, while zebrafish pharyngeal teeth depend on spatiotemporal activation of retinoic acid signaling, confirming functional conservation of core pathways (FGF, Shh, Wnt) but with regulatory mechanisms driven by natural selection, leading to species-specific adaptations.

Read Full Abstract10.12307/2026.21321
Mechanisms and potential therapeutic strategies for skeletal muscle extracellular matrix agingGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Mechanisms and potential therapeutic strategies for skeletal muscle extracellular matrix aging

BACKGROUND: Skeletal muscle aging has been primarily attributed to cellular dysfunction. Emerging evidence indicates that pathological remodeling of the extracellular matrix (ECM) is a core driver. However, a systematic discussion of ECM pathology and intervention strategies is lacking. OBJECTIVE: To systematically elucidate the pathological changes of the ECM in aged skeletal muscle and construct a vicious cycle model of 'component imbalance → physical stiffening → functional decline'. Based on this model, to review multiple potential intervention strategies targeting the ECM. METHODS: A systematic search of PubMed, Web of Science, Scopus, Embase, Cochrane Library, CNKI, Wanfang Data, and VIP was conducted from inception to September 1, 2025. Following predefined inclusion and exclusion criteria, 70 relevant studies were selected from 4,789 articles for comprehensive analysis and review of the pathological mechanisms and interventions for aged skeletal muscle ECM. RESULTS AND CONCLUSION: (1) Aging transforms the ECM from a functional matrix into an inhibitory fibrotic barrier, with core pathology involving three aspects: ① component imbalance: excessive collagen deposition; ② physical stiffening: accumulation of chemical cross-links (e.g., advanced glycation end products); ③ functional decline: impaired ECM signaling that inhibits muscle regeneration. (2) Targeting this pathological cycle, the authors propose a three-tier intervention framework: Tier 1, restoring dynamic balance and physical properties (e.g., exercise); Tier 2, targeting and eliminating upstream drivers (e.g., senescent cells); Tier 3, functional reconstruction using tissue engineering. (3) Pathological ECM remodeling is a key therapeutic target for muscle aging. The proposed 'pathological cycle-layered intervention' framework deepens the understanding of aging mechanisms and provides direction for future combination therapies and personalized precision medicine.

Read Full Abstract10.12307/2026.21328
Regulatory role of ADAMTS8 in proliferation and apoptosis of hypertrophic scar fibroblastsGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Regulatory role of ADAMTS8 in proliferation and apoptosis of hypertrophic scar fibroblasts

BACKGROUND: Studies have confirmed that A disintegrin and metalloproteinase with thrombospondin motifs 8 (ADAMTS8) plays a regulatory role in fibrosis, so it is of great clinical significance to explore the mechanism of ADAMTS8 in hypertrophic scars. OBJECTIVE: To investigate the regulatory effect of ADAMTS8 on hypertrophic scars. METHODS: (1) Immunohistochemical staining was used to detect the expression of type I collagen, type III collagen, alpha-smooth muscle actin and ADAMTS8 in normal human skin and hypertrophic scar tissues. Western blot was used to detect ADAMTS8 protein expression in normal skin and hypertrophic scar tissues. With hypertrophic scar as positive sample and normal skin as negative sample, receiver operating characteristic curve was drawn to analyze the ability of ADAMTS8 to predict and distinguish normal skin from hypertrophic scar. (2) STRING 12.0 platform was used to construct a protein-protein interaction network for ADAMTS8, and GO functional enrichment and KEGG pathway enrichment analyses were performed on the obtained targets. (3) Fibroblasts from human hypertrophic scar tissue were isolated and cultured. The 3rd to 6th generation fibroblasts were divided into three groups: control group (routine culture), Ad-NC group (transfected with empty adenovirus), and Ad-ADAMTS8 group (transfected with adenovirus overexpressing ADAMTS8). CCK-8 assay and EdU staining were used to detect cell proliferation activity, and flow cytometry and TUNEL staining were used to detect cell apoptosis. RESULTS AND CONCLUSION: (1) Immunohistochemical staining showed that the expression of type I collagen, type III collagen and alpha-smooth muscle actin in hypertrophic scars was higher than that in normal skin (P < 0.001), while ADAMTS8 expression was lower than that in normal skin (P < 0.001). Western blot showed that ADAMTS8 protein expression in hypertrophic scars was lower than that in normal skin (P < 0.001). Receiver operating characteristic curve showed that the area under the curve of ADAMTS8 predicting hypertrophic scar was 0.86, indicating that ADAMTS8 has good ability to distinguish hypertrophic scar from normal skin. (2) The top 41 genes were screened through STRING database. KEGG enrichment showed that ADAMTS8 was mainly involved in extracellular matrix receptor interaction, phosphatidylinositol-3-kinase-protein kinase B signaling pathway, efferocytosis and other biological processes and key mechanisms. GO enrichment showed that ADAMTS8 was involved in apoptosis-related pathway enrichment, including negative regulation of fibroblast growth factor receptor signaling pathway, fibroblast growth factor binding, negative regulation of apoptosis and apoptotic process. (3) CCK-8 assay and EdU staining showed that overexpression of ADAMTS8 inhibited the proliferation of hypertrophic scar fibroblasts; flow cytometry and TUNEL staining showed that overexpression of ADAMTS8 promoted apoptosis of hypertrophic scar fibroblasts. (4) These results indicate that ADAMTS8 expression is decreased in human hypertrophic scars, and overexpression of ADAMTS8 can inhibit proliferation and promote apoptosis of hypertrophic scar fibroblasts.

Read Full Abstract10.12307/2026.21315
Exercise regulation of pyroptosis for the prevention and treatment of bone metabolic disordersGraphical AbstractVerified
Chinese Journal of Tissue Engineering Research2026

Exercise regulation of pyroptosis for the prevention and treatment of bone metabolic disorders

BACKGROUND: Pyroptosis is extensively involved in bone formation mediated by osteoblasts and bone resorption mediated by osteoclasts. Inflammatory factors released during pyroptosis contribute to bone metabolic imbalance. Exercise can inhibit pyroptosis and regulate the progression of bone metabolic disorders, which has become a research hotspot for preventing and treating such diseases. OBJECTIVE: To summarize the regulatory role of pyroptosis in bone metabolic disorders and to elucidate the molecular mechanisms by which exercise-mediated pyroptosis improves these conditions. METHODS: CNKI and PubMed were searched for relevant literature published from 1992 to 2025. The search terms were “exercise, pyroptosis, osteoporosis, osteoarthritis, rheumatoid arthritis, abnormal bone metabolism, osteoblasts, osteoclasts, bone marrow mesenchymal stem cells, osteocytes, chondrocytes” in Chinese and English, respectively. According to the inclusion and exclusion criteria, 80 articles were included for review. RESULTS AND CONCLUSION: Pyroptosis plays a critical role in the pathogenesis of bone metabolic disorders. Recent studies have indicated that exercise, as a safe and effective non-pharmacological intervention, can alleviate pyroptosis by inhibiting inflammasome activation, suppressing pyroptotic protein expression, modulating myokine secretion, and reducing oxidative stress, thereby decreasing bone resorption and increasing bone formation. However, current research on pyroptosis and bone metabolic disorders has limitations, and the specific pathways and regulatory mechanisms by which exercise-mediated pyroptosis participates in bone metabolic disorders require further investigation.

Read Full Abstract10.12307/2026.21326