Bladder cancer (BC) ranks among the most prevalent urological malignancieswith high mortality, driving an urgent need for efficient, non-invasive diagnostic methods. In this work, we developed an integrated microfluidic platform that combines herringbone mixers with photonic crystal (PhC)-encoded, core-shell hydrogel microcarriers for efficient exosome enrichment and multiplexed biomarker detection. The core-shell hydrogel microcarriersoffer stable structural color barcoding immune to assay conditions and a substantiallyexpanded surface area for enhanced sensitivity. Concurrently, the herringbone structures generate controlled microturbulence, significantly improving fluid mixing and extending target-probe contact time. By employing this platform to profile a panel of six proteomic biomarkers derived from bladder cancer exosomes, we demonstrate efficient high-throughput analysisof urinary exosomal signatures. The platform thus shows excellent diagnostic performance, offering a promising approach for the early detection and monitoring of BC in clinical practice.
Fecal microbiota transplantation (FMT) is an emerging therapy for inflammatory bowel disease (IBD), yet its efficacy in patients refractory to conventional treatments and its underlying mechanisms require further elucidation. We studied 37 IBD patients (15 ulcerative colitis [UC], 22 Crohn's disease [CD]) refractory to conventional therapies and 16 healthy donors. FMT monotherapy from a single donor induced week-4 clinical response in 12 UC and 9 biologic-naïve CD patients, with all responders sustaining remission and most achieving endoscopic remission by week 14. Integrated multi-omics revealed FMT restored microbial diversity and profoundly reorganized host-microbiota-metabolite networks. In nine refractory CD patients (7 infliximab [IFX] non-responders, 2 FMT non-responders), IFX-FMT combination led to week-4 response in 6 patients, all of whom attained clinical and endoscopic remission by week 14, with more complete microbial-metabolic restoration than monotherapy. Our findings establish that FMT induces remission in refractory IBD via ecosystem network rewiring, and that IFX-FMT exhibits additive effects, supporting further trials of microbiome-directed adjunctive strategies. IMPORTANCE:This study provides mechanistic and clinical insights into the therapeutic effects of fecal microbiota transplantation (FMT) in inflammatory bowel disease (IBD), particularly when combined with the anti-tumor necrosis factor (anti-TNF) biologic infliximab (IFX). While both FMT and IFX achieve response in approximately 60% of IBD patients, their combined influence on the gut microbial and metabolic landscape in refractory disease has been poorly understood. Here, we demonstrate that FMT monotherapy restores gut microbial diversity and reconfigures host-microbiota-metabolite networks, correlating with clinical and endoscopic remission in patients refractory to conventional treatments. Furthermore, in Crohn's disease patients unresponsive to either therapy alone, combined IFX-FMT induced more complete microbial and metabolic normalization and achieved remission where monotherapy had failed. These findings reveal ecosystem-level network rewiring as a central mechanism of FMT efficacy and establish the additive potential of combining microbiome-targeted and immunomodulatory therapies. This work supports the development of microbiome-informed adjunctive strategies for severe or refractory IBD, highlighting an actionable path toward personalized, mechanism-based treatment regimens. CLINICAL TRIALS:This study is registered with ClinicalTrials.gov as NCT07149441.
Functional gastrointestinal disorders (FGIDs) are prevalent and burdensome, yet progress in microbiota-targeted therapies such as fecal microbiota transplantation (FMT) has been hampered by the lack of large-scale, integrated datasets. Current studies are mostly limited in sample size and scope, constraining mechanistic insight and precision application. To address this gap, we established FMTdb, a curated dataset focused on FGID patients treated with FMT. This resource integrates demographic, clinical, and multi-omic microbiota data from 15 rigorously screened long-term donors, 370 FGID recipients, and 2,008 healthy community controls. Longitudinal metadata include donor follow-up and pre- and post-treatment observations of recipients across multiple time points. By providing a multi-layered dataset that connects microbial composition with host response, FMTdb offers a robust platform for biomarker discovery, mechanistic exploration, and the development of personalized microbiota-based interventions for FGIDs.
With the popularization of modern lifestyles, the spectrum of intestinal diseases has become increasingly diverse, presenting significant challenges in its management. Traditional pharmaceutical interventions have struggled to keep pace with these changes, leaving many patients refractory to conventional pharmaceutical treatments. Fecal microbiota transplantation (FMT) has emerged as a promising therapeutic approach for enterogenic diseases. Still, controversies persist regarding its active constituents, mechanism of action, scheme of treatment evaluation, indications, and contraindications. In this review, we investigated the efficacy of FMT in addressing gastrointestinal and extraintestinal conditions, drawing from follow-up data on over 8000 patients. We systematically addressed the controversies surrounding FMT’s clinical application. We delved into key issues such as its technical nature, evaluation methods, microbial restoration mechanisms, and impact on the host-microbiota interactions. Additionally, we explored the potential colonization patterns of FMT-engrafted new microbiota throughout the entire intestine and elucidated the specific pathways through which the new microbiota modulates host immunity, metabolism, and genome.
Background Fecal microbiota transplantation (FMT) is a promising treatment for inflammatory bowel disease (IBD), achieving clinical response rate of ~50% for ulcerative colitis (UC), and Crohn's disease (CD). While prior research has emphasized donor selection and treatment protocols, the role of the patient's native intestinal microbiota in FMT outcomes remains underexplored.Methods This study analyzed a retrospective cohort of 96 IBD patients (45 CD, 51 UC) undergoing FMT, with 192 paired stool samples collected pre- and post-treatment, alongside 332 healthy donor samples from 18 donors. A prospective cohort of 45 IBD patients provided 45 baseline stool samples, and a validation cohort of 112 non-IBD patients contributed 224 paired samples. Retrospective cohort patients were monitored for 4 weeks to assess FMT responsiveness and 52 weeks for treatment effectiveness. Microbiome analysis identified enterotype-specific bacteria and native bacterial genera influence FMT outcomes. Random forest, permissivity, and mathematical models predicted treatment response, characterized microbiome remodeling, and defined microecological remission thresholds.Results The FMT regimen was safe, with no serious adverse events reported. At week 4, the clinical response rates were 58.8% (26/45) for CD patients and 66.7% (34/51) for UC patients; by week 52, the remission rates were 82.4% (37/45) for CD patients and 84.4% (43/51) for UC patients. Microbiome analysis identified 54 bacterial genera linked to enterotype classification, 57 to UC response, and 93 to CD response. Notably, 38 high-frequency retentions of recipient native bacteria after FMT were predictive of FMT responsiveness. The permissivity model revealed a shift toward Bacteroidetes-dominated enterotypes in IBD patients post-FMT, which was validated in 112 non-IBD patients. The abundance ranges of recipients' native bacteria predictive of treatment responsewere determined by mathematical interpretation model.Conclusion The patient's native microbiota significantly influences FMT efficacy in IBD, influencing microbiome remodeling and clinical outcomes, highlighting the importance of baseline microbial profiles in predicting FMT responsiveness and optimizing therapy.
Radiotherapy, as an important component of the comprehensive treatment of malignant tumors, helps to improve the prognosis of cancer patients. However, radiation can cause damage to healthy tissues and induce corresponding adverse reactions. In the treatment of abdominal and pelvic malignancies, the healthy intestines are inevitably included in the radiation field. The damage to normal intestinal epithelial cells leads to intestinal mucositis, namely radiation enteritis. Radiation enteritis affects the intestinal microbiota and severely impacts the quality of life and prognosis of patients. Currently, there is no effective clinical treatment for radiation enteritis. This article aims to explore the correlation between radiation enteritis and the intestinal microbiota, as well as the research progress of fecal microbiota transplantation in the treatment of radiation enteritis.
Radiotherapy is a cornerstone of comprehensive cancer treatment, yet its efficacy and toxicity exhibit considerable interindividual variation. Recent evidence highlights the microbiome—the collective genomes and metabolic products of symbiotic microorganisms in a specific environment—as a key bidirectional regulator of radiosensitivity. Radiotherapy can disrupt microbial community structure, while the microbiome and its metabolites profoundly influence tumor cell radiosensitivity and normal tissue radiotolerance by modulating DNA damage repair, immune responses, metabolic reprogramming, and tumor microenvironment (TME) remodeling. This review systematically examines the mechanisms and recent advances in understanding how oral and gut microbiota, their key metabolites (e.g., short-chain fatty acids, SCFAs), and probiotics modulate radiosensitivity. By establishing a framework centered on “mechanism axis—evidence stratification—clinical translation,” this paper aims to provide a theoretical foundation and identify potential targets for microbiome-based strategies to enhance radiosensitivity and protect normal tissues during radiotherapy.
Considerable efforts have been devoted to treating gastric ulcers. Attempts in this field tend to develop drug delivery systems with prolonged gastric retention time. Herein, we develop novel Chinese herb pollen-derived micromotors as active oral drug delivery system for treating gastric ulcer. Such Chinese herb pollen-derived micromotors are simply produced by asymmetrically sputtering Mg layer onto one side of pollen grains. When exposed to gastric juice, the Mg layer can react with the hydrogen ions, resulting in intensive generation of hydrogen bubbles to propel the micromotors. Benefiting from the autonomous motion and unique spiny structure, our micromotors can move actively in the stomach and adhere to the surrounding tissues. Besides, their special architecture endows the micromotors with salient capacity of drug loading and releasing. Based on these features, we have demonstrated that our Chinese herb pollen-derived micromotors could effective deliver berberine hydrochloride and show desirable curative effect on the gastric ulcer model of mice. Therefore, these Chinese herb pollen-derived micromotors are anticipated to serve as promising oral drug delivery carriers for clinical applications.
Studies on fecal microbiota transplantation (FMT) have reported inconsistent connections between clinical outcomes and donor strain engraftment. Analyses of subspecies-level crosstalk and its influences on lineage transfer in metagenomic FMT datasets have proved challenging, as single-nucleotide polymorphisms (SNPs) are generally not linked and are often absent. Here, we utilized species genome bin (SGB), which employs co-abundance binning, to investigate subspecies-level microbiome dynamics in patients with autism spectrum disorder (ASD) who had gastrointestinal comorbidities and underwent encapsulated FMT (Chinese Clinical Trial: 2100043906). We found that interactions between donor and recipient microbes, which were overwhelmingly phylogenetically divergent, were important for subspecies transfer and positive clinical outcomes. Additionally, a donor-recipient SGB match was indicative of a high likelihood of strain transfer. Importantly, these ecodynamics were shared across FMT datasets encompassing multiple diseases. Collectively, these findings provide detailed insight into specific microbial interactions and dynamics that determine FMT success.
In recent observational studies, a potential link between prostatitis and prostate cancer (PCa) has been hinted at, yet the causality remains ambiguous. In our endeavor to scrutinize the conceivable causal nexus between prostatitis and PCa, we embarked upon a Mendelian randomization (MR) study. MR circumvents arbitrary groupings by employing genetic variations that have a strong association with the exposure as instrumental variables to infer causal relationships between exposures and outcomes. The etiology of PCa remains elusive. Given that prostatitis and prostate cancer occupy the same anatomical region, MR can more effectively delineate their relationship by mitigating confounding variables. This method can indirectly elucidate disease correlations, thereby contributing to cancer prevention strategies. FinnGen Consortium data were used for the prostatitis genome-wide association study (GWAS), including 74,658 participants. UK biobank baseline data (ncase = 3436, ncontrol = 459574), European Bioinformatics Institute Database (ncase = 79148, ncontrol = 61106), and IEU openGWAS database (ncase = 79148, ncontrol = 61106) were used for PCa outcomes, mostly for European population samples. Data from the GWSAs for prostatitis were compared with data from the three GWASs for PCa, respectively, in an analysis of an MR. Utilizing the inverse variance weighting (IVW) methodology as our primary analytical framework, we delved into a meticulous exploration of the conceivable causal association between prostatitis and PCa. Furthermore, we deployed supplementary methodologies, including Maximum Likelihood, MR-Egger, weighted median, and MR-PRESSO, to thoroughly assess and scrutinize the causality aspect comprehensively. Cochran's Q statistic is employed as a metric to quantify the heterogeneity inherent in instrumental variables. The inverse variance weighted analysis revealed no discernible effect of prostatitis on PCa in the three PCa GWAS databases (odds ratio [OR]: 1.001, 95% Confidence Interval [CI]: 0.999-1.002, p = 0.28), (OR: 1.015, 95% CI: 0.981-1.050, p = 0.40), (OR: 1.015, 95% CI: 0.981-1.050, p = 0.40). Similarly, employing MR-Egger did not yield substantial evidence (OR: 0.999, 95% CI: 0.999-1.002, p = 0.89), (OR: 1.103, 95% CI: 1.006-1.209, p = 0.07), (OR: 1.103, 95% CI: 1.006-1.209, p = 0.07). The weighted median analysis also failed to provide convincing support for the impact of prostatitis on the incidence of PCa (OR: 1.001, 95% CI: 1.000-1.002, p = 0.064), (OR: 0.989, 95% CI: 0.946-1.034, p = 0.64), (OR: 0.989, 95% CI: 0.945-1.036, p = 0.65). The results of the MR showed no causality from prostatitis to PCa.
In the field of medical automation, the safety of ultrasound examination robots is crucial for patient experience. Although traditional sensor-based force feedback systems are effective, they carry potential risks of failure. This study proposes an innovative passive maximum force-limited end effector (MFLEE), which relies on a physical mechanism instead of electronic sensing systems to limit force, thereby enhancing system reliability and safety. Initially, a detailed mechanical design was developed, incorporating a spring-ball limiting mechanism, and optimal parameters were selected based on theoretical analysis. Finite element analysis was then utilized to simulate the design, yielding force limits at various operational angles. In the experimental phase, actual measurements were compared with simulation results, confirming the efficacy of the MFLEE in practical applications. The results showed that the actual measured maximum force limit deviated by only 0.5N from theoretical predictions, indicating that the design could reliably control force output, offering a new safety assurance solution for ultrasound examination robots.
A significant number of stroke patients are permanently left with a hemiparetic upper limb after the poststroke six-month golden recovery period, resulting in a drastic decline in their quality of life. This study develops a novel foot-controlled hand/forearm exoskeleton that enables patients with hemiparetic hands and forearms to restore their voluntary activities of daily living. Patients can accomplish dexterous hand/arm manipulation on their own with the assistance of a foot-controlled hand/forearm exoskeleton by utilizing foot movements on the unaffected side as command signals. The proposed foot-controlled exoskeleton was first tested on a stroke patient with a chronic hemiparetic upper limb. The testing results showed that the forearm exoskeleton can assist the patient in achieving approximately 107°of voluntary forearm rotation with a static control error less than 1.7°, whereas the hand exoskeleton can assist the patient in realizing at least six different voluntary hand gestures with a success rate of 100%. Further experiments involving more patients demonstrated that the foot-controlled hand/forearm exoskeleton can help patients in restoring some of the voluntary activities of daily living with their paretic upper limb, such as picking up food to eat and opening water bottles to drink, and etc. This research implies that the foot-controlled hand/forearm exoskeleton is a viable way to restore the upper limb activities of stroke patients with chronic hemiparesis.
Micro‐ and nanorobots (MNRs) propelled by external actuations have broad potential in biomedical applications. Among the numerous external excitations, ultrasound (US) features outstanding practical significance with merits of its noninvasiveness, tunability, penetrability, and biocompatibility. Attributing to various physiochemical effects of US, it can propel the MNRs with sophisticated structures through asymmetric acoustic streaming, bubble oscillation, and so on. In this review, we introduce several advanced and representative US‐propelled MNRs with inhomogeneous density distribution, asymmetric shape, hollow cavity, etc. The potential biomedical applications of these cutting‐edge MNRs are also presented, including intracellular delivery, harmful substances collection, and so on. Furthermore, we conclude the advantages and limitations of US‐propelled MNRs and prospect their future developments in multidisciplinary fields.
Magnetic photonic crystals (PhCs), as a representative responsive structural color material, have attracted increasing research focus due to merits such as brilliant refraction colors, instant responsiveness, and excellent manipuility, thus having been widely applied for color displaying, three‐dimensional printing, sensing, and so on. Featured with traits such as contactless manner, flexible orientations, and adjustable intensity of external magnetism, magnetic PhCs have shown great superiority especially in the field of biomedical applications such as bioimaging and auxiliary clinical diagnosis. In this review, we summarize the current advancements of magnetic PhCs. We first introduce the fundamental principles and typical characteristics of PhCs. Afterward, we present several typical self‐assembly strategies with their frontiers in practical applications. Finally, we analyze the current situations of magnetic PhCs and put forward the prospective challenges and future development directions.
GIST treatment has been transformed by TKIs but resistance is a challenge in managing advanced disease. Pts with SDH-deficient GIST typically present with TKI-insensitive, multifocal/multinodular disease. Olverembatinib is a novel, potent, multitargeted TKI with promising preclinical activity against GIST. Antitumor activity of olverembatinib was evaluated via a panel of SDH-deficient cell lines. SDH knockdown was performed in PC12 cells to assess potential mechanisms of action. The aim of the phase 1 study was to assess safety and efficacy (RECIST v1.1) of olverembatinib, orally once every other day (QOD) in 28-day cycles, in pts with TKI-resistant, metastatic, SDH-deficient, IHC-confirmed GIST. Olverembatinib had superior antiproliferative effects on SDH-deficient cancer cell lines, and the increased sensitivity could be ascribed to FGFR pathway upregulation. As of January 15, 2023, 20 pts had received ≥ 1 dose of olverembatinib and 19, 1-4 TKIs (Table). The dose range of olverembatinib was 20-50 mg and median (range) treatment duration 7.8 (1.81-42.3) mo. 5/20 pts experienced PR as best response. Of 16 evaluable pts receiving > 4 cycles, the clinical benefit rate (CBR; CR + PR + stable disease [SD] > 4 cycles) was 93.8% (15/16); the longest treatment duration was 42 mo. All pts experienced TEAEs (mostly grade 1 or 2 [G1-2]); 2 had G3 AEs; the only hematologic AE with incidence rate ≥ 20% was anemia (55%). 15 (75%) pts had TRAEs (G3 neutropenia [n = 1]). No treatment-related SAEs were reported. Olverembatinib was effective in SDH-deficient tumors preclinically. In the phase 1 study, it was well tolerated up to 50 mg QOD and showed antitumor activity in pts with TKI-resistant, SDH-deficient GIST. 5 PRs were reported in 20 evaluable pts, and 15 SDs among 16 pts treated ≥ 4 cycles (93.8% CBR). These promising data warrant further investigation. Study: HQP1351SJ003.
Micromotors are identified as a promising candidate in the field of sensing benefiting from their capacity of autonomous movement. Here, a review on the development of tailoring micromotors for sensing is presented, covering from their propulsion mechanisms and sensing strategies to applications. First, we concisely summarize the propulsion mechanism of micromotors involving fuel-based propulsion and fuel-free propulsion introducing their principles. Then, emphasis is laid to the sensing stratagems of the micromotors including speed-based sensing strategy, fluorescence-based sensing strategy, and other strategies. We listed typical examples of different sensing stratagems. After that, we introduce the applications of micromotors in sensing fields including environmental science, food safety, and biomedical fields. Finally, we discuss the challenges and prospects of the micromotors tailored for sensing. We believe that this comprehensive review can help readers to catch the research frontiers in the field of sensing and thus to burst out new ideas.
Background:Axillary lymph node dissection (ALND) can be safely avoided in women with T1 or T2 primary invasive breast cancer (BC) and one to two metastatic sentinel lymph nodes (SLNs). However, cancellation of ALND based solely on SLN biopsy (SLNB) may lead to adverse outcomes. Therefore, preoperative assessment of LN tumor burden becomes a new focus for ALN status.Objective:This study aimed to develop and validate a nomogram incorporating the radiomics score (rad-score) based on automated breast ultrasound system (ABUS) and other clinicopathological features for evaluating the ALN status in patients with early-stage BC preoperatively.Methods:Totally 354 and 163 patients constituted the training and validation cohorts. They were divided into ALN low burden (<3 metastatic LNs) and high burden (≥3 metastatic LNs) based on the histopathological diagnosis. The radiomics features of the segmented breast tumor in ABUS images were extracted and selected to generate the rad-score of each patient. These rad-scores, along with the ALN burden predictors identified from the clinicopathologic characteristics, were included in the multivariate analysis to establish a nomogram. It was further evaluated in the training and validation cohorts.Results:High ALN burdens accounted for 11.2% and 10.8% in the training and validation cohorts. The rad-score for each patient was developed based on 7 radiomics features extracted from the ABUS images. The radiomics nomogram was built with the rad-score, tumor size, US-reported LN status, and ABUS retraction phenomenon. It achieved better predictive efficacy than the nomogram without the rad-score and exhibited favorable discrimination, calibration and clinical utility in both cohorts.Conclusion:We developed an ABUS-based radiomics nomogram for the preoperative prediction of ALN burden in BC patients. It would be utilized for the identification of patients with low ALN burden if further validated, which contributed to appropriate axillary treatment and might avoid unnecessary ALND.
Introduction Primary intracranial malignant lymphoma (PIML) is a rare form of lymphoma that most often occurs in the brain and has an extremely low 5-year survival rate. Although chemotherapy and radiotherapy are widely used in the clinical management of PIML, the choice of treatment regimen and the actual circumstances of patients remain challenges when assessing survival rates in different patients. Methods Considering this, we obtained clinical treatment and survival information from the Surveillance, Epidemiology, and End Results database (SEER) on patients with lymphoma, the primary site of which was the brain, and performed statistical analyses of the demographic characteristics. Survival analyses were performed using the Kaplan–Meier method, and univariate and multivariate Cox proportional hazards regression analyses were performed to identify independent prognostic factors. Result We identified age, pathology, the Ann Arbor stage, and treatment as the risk factors affecting patient prognosis. The areas under the curve (AUCs) for overall survival at 1, 3, and 5 years were 0.8, 0.818, and 0.81, respectively. The AUCs for cancer-specific survival at 1, 3, and 5 years were 0.8, 0.79, and 0.79. The prediction ability in the development and verification cohorts was in good agreement with the actual values, while we plotted the clinical decision curves for the model, suggesting that the nomogram can provide benefits for clinical decision-making. Conclusion Our model provides a prognostic guide for patients with PIML and a reliable basis for clinicians.
11540 Background: Treatment of pts with GIST has been transformed by TKIs. However, treatment resistance is a challenge in managing locally advanced or metastatic disease. Pts with SDH-deficient GIST typically present with multifocal and multinodular disease that is insensitive to most TKIs. Olverembatinib is an investigational novel, potent, orally active third-generation TKI with promising activity against GIST in multiple preclinical models. Methods: The aim of this study was to evaluate the safety and efficacy (per RECIST v1.1) of olverembatinib in pts with TKI-resistant metastatic SDH-deficient GISTs (confirmed by immunohistochemistry). Olverembatinib was administered orally once every other day (QOD) in 28-day cycles. Results: As of January 15, 2023, 20 pts with SDH-deficient GIST had received ≥ 1 dose of olverembatinib (median age, 30 [14-56] years), and 19 had received 1 to TKIs (50% of pts ≥ 3; Table). The dose range of olverembatinib was 20 to 50 mg (50 mg cohort [n = 6]; 40 mg [n = 8]; 30 mg [n = 6]). The median (range) treatment duration was 7.8 (1.81-42.3) months. A total of 5 of 20 pts experienced partial response (PR) as the best response. Of 16 evaluable pts treated with > 4 cycles of olverembatinib, the clinical benefit rate (CBR; complete response + PR + stable disease > 4 cycles) was 93.8% (15/16); the longest treatment duration was 42 months. All pts experienced treatment-emergent adverse events (AEs; most, grade 1 or 2); 2 pts experienced grade 3 AEs; the only hematologic AE with an incidence rate ≥ 20% was anemia (55%). A total of 15 (75%) pts experienced treatment-related AEs (grade 3 neutropenia [n = 1]). No treatment-related serious AEs were reported. Conclusions: Olverembatinib was well tolerated up to 50 mg QOD and showed antitumor activity in pts with TKI-resistant, SDH-deficient GIST. A total of 5 PRs were reported among 20 evaluable pts and 15 SDs among 16 pts treated for ≥ 4 cycles (98.3% CBR). These promising findings warrant further investigation. Internal study identifier: HQP1351SJ003. Clinical trial registration: NCT03594422 . [Table: see text]
Ethnopharmacological relevance: Tenuigenin (TEN) is a main pharmacologically active component of Polygala tenuifolia Willd. (Polygalaceae), which has shown neuroprotective functions in Alzheimer's disease. Moreover, TEN also demonstrated an anti-oxidative impact in an in vitro model of Parkinson's disease, reducing damage and loss of dopaminergic neurons.Aim: This work focuses on the impact of TEN on locomotor recovery following spinal cord injury (SCI) and underpinning molecules involved.Methods: A rat model of SCI was generated, and the rats were treated with TEN, oe-PTPN1 (PTP non-receptor type 1), a protein kinase B (Akt)/mammalian target of rapamycin (mTOR) antagonist LY294002, or an autophagy inhibitor 3-methyladenine (3-MA). Subsequently, locomotor function was detected. Pathological changes and neuronal activity in the spinal cord tissues were analyzed by hematoxylin and eosin staining, Nissl staining, and TUNEL assays. Protein expression of Beclin-1 and microtubule associated protein 1 light chain 3 beta (LC3B)II/LC3B-I, PTPN1, IRS1, mTOR, and phosphorylated Akt (p-Akt) was analyzed by western blot assays. The LC3B expression was further examined by immunofluorescence staining.Results: Treatment with TEN restored the locomotor function of SCI rats, reduced the cavity area and cell apoptosis, upregulated growth-associated protein 43 and neurofilament 200, and decreased the Beclin-1 and LC3B-II/LC3B-I levels in the spinal cord. TEN suppressed PTPN1 protein level, while PTPN1 suppressed IRS1 protein to reduce the p-Akt and mTOR levels. Either PTPN1 overexpression or LY294002 treatment blocked the promoting effect of TEN on SCI recovery. However, treatment with 3-MA suppressed autophagy, which consequently rescued the locomotor function and reduced neuron loss induced by PTPN1.Conclusion: This study demonstrates that TEN suppresses autophagy to promote function recovery in SCI rats by blocking PTPN1 and rescuing the IRS1/Akt/mTOR signaling.