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Spinal cord injury (SCI) compromises the blood-spinal cord barrier (BSCB) and induces neuroinflammation, potentially exacerbating neuronal damage. This underscores the importance of maintaining BSCB integrity and mitigating neuroinflammation in SCI treatment. Our study explores an innovative approach to treating SCI by utilizing platelet-rich plasma-derived exosomes (PRP-Exos) to stabilize BSCB function and alleviate neuroinflammation. We successfully isolated exosomes from platelet-rich plasma and conducted both in vivo and in vitro experiments to assess the therapeutic effects of PRP-Exos and explore their potential mechanisms in stabilizing the BSCB, reducing neuroinflammation, and promoting neural functional recovery.In vitro results demonstrate that PRP-Exos significantly reduce the permeability of bEnd.3 cells under hypoxic-hypoglycemic conditions, thereby restoring the integrity of tight junctions. Additionally, our study elucidates the critical role of the NF-κB signaling pathway in the amelioration of neuroinflammation by PRP-Exos. In the SCI model, local injection of hydrogel-encapsulated PRP-Exos reduced Evans blue dye leakage, enhanced the expression of tight junction proteins, alleviated the inflammatory environment in the damaged area, and improved neural functional recovery. In conclusion, PRP-Exos presents a promising and effective treatment option for SCI.

This study aimed to develop a predictive system for prognostic evaluation of osteosarcoma patients. We obtained osteosarcoma sample data from 1998 to 2016 using SEER*Stat software version 8.3.8, and established a multivariable Cox regression model using R-4.0.3 software. Data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. The diagnosis of the model was completed through influential cases, proportionality, and multicollinearity. The predictive ability of the model was tested using area under the curve (AUC), calibration curves, and Brier scores. Finally, the bootstrap method was used to internally verify the model. In total, data from 3566 patients with osteosarcoma were included in this study. The multivariate Cox regression model was used to determine the independent prognostic variables. A nomogram and Kaplan–Meier survival curve were established. The AUC and Brier scores indicated that the model had a good predictive calibration. In addition, we found that the radiotherapy appears to be a risk factor of patients with osteosarcoma and made a discussion. We developed a prognostic evaluation system for patients with osteosarcoma for 1-, 3-, and 5-year overall survival with good predictive ability using sample data extracted from the SEER database. This has important clinical significance for the early identification and treatment of high-risk groups of osteosarcoma patients.

Objective This study explored the functional interactions between the long non-coding RNA DICER-AS1 and the cellular stress response 1 (CSR1) gene in gastric cancer. Methods Quantitative polymerase chain reaction (qPCR) and western blotting were used to measure DICER-AS1, CSR1, and miR-650 expression levels. Gastric cancer cell line proliferation and migration abilities were analyzed using the MTT and transwell migration and invasion assays, respectively. Bioinformatic analysis and dual luciferase reporter assays were employed to study the functional interactions among miR-650, DICER-AS1, and CSR1. Results DICER-AS1 and CSR1 expression levels were significantly decreased in gastric cancer tissues compared with normal tissues, and qPCR analysis showed that miR-650 was upregulated in gastric cancer tissues. Bioinformatic analysis and dual luciferase reporter assays revealed that DICER-AS1 functioned as a competing endogenous RNA that sponged miR-650, which in turn regulated CSR1 expression. Importantly, ectopic DICER-AS1 and CSR1 expression inhibited cell proliferation and migration in vitro and suppressed xenograft tumorgenicity in vivo. Conclusions These results suggest that DICER-AS1 functions as a competing endogenous RNA that regulates miR-650 to suppress proliferation and migration of gastric cancer cells by targeting CSR1. These findings indicate that targeting DICER-AS1 and miR-650 could be a novel treatment for gastric cancer.

Background Gastric cancer (GCa) is one of the six major malignancies in the world with low survival rate. Although there are advances in therapeutic approaches, the prognosis of patients with GCa remains not optimistic. Therefore, this study aimed to evaluate the prognostic value of miR-324-5p, as well as its functional role in GCa progression. Methods The expression of miR-324-5p in tumor tissues and cell lines was examined using real-time quantitative PCR. The prognostic value of miR-324-5p in patients with GCa was evaluated by Kaplan-Meier survival curve and Cox regression analysis. Gain- and loss-of-function experiments were performed to evaluate the biological function of miR-324-5p during the progression of GCa, and a target gene of miR-324-5p was proposed. Results The expression of miR-324-5p was up-regulated in GCa tissues and cell lines. Patients with high expression of miR-324-5p had more cases with positive lymph node metastasis, advanced TNM stage, and worse overall survival compared with patients with low expression. The elevated miR-324-5p was an independent prognostic indicator of GCa. In addition, the inhibition of miR-324-5p could suppress GCa cell proliferation, migration and invasion and promote cell apoptosis, and PTEN was demonstrated to serve as a direct target of miR-324-5p in GCa progression. Conclusion The present study indicates that miR-324-5p overexpression predicts poor prognosis in GCa patients, and the reduction of miR-324-5p can inhibit GCa biological processes. PTEN is a target gene of GCa, which may mediate the biological function of miR-324-5p in GCa progression.

Minimally invasive surgeries, including posterior endoscopic cervical foraminotomy (PECF), microsurgical anterior cervical foraminotomy (MACF), anterior transdiscal approach of endoscopic cervical discectomy (ATd-ECD), and anterior transcorporeal approach of endoscopic cervical discectomy (ATc-ECD), have obtained positive results for cervical spondylotic radiculopathy. Nonetheless, there is a lack of comparison among them regarding their biomechanical performance. The purpose of this study is to investigate the biomechanical changes of operated and adjacent segments after minimally invasive surgeries compared to a normal cervical spine. A three-dimensional model of normal cervical vertebrae C3–C7 was established using finite element analysis. Afterwards, four surgical models (PECF, MACF, ATd-ECD, and ATc-ECD) were constructed on the basis of the normal model. Identical load conditions were applied to simulate flexion, extension, lateral bending, and axial rotation of the cervical spine. We calculated the range of motion (ROM), intradiscal pressure (IDP), annulus fibrosus pressure (AFP), uncovertebral joints contact pressure (CPRESS), and facet joints CPRESS under different motions. For all circumstances, ATc-ECD was close to the normal cervical spine model, whereas ATd-ECD significantly increased ROM and joints CPRESS and decreased IDP in the operated segment. PECF increased more the operated segment ROM than did the MACF, but the MACF obtained maximum IDP and AFP. Except for ATc-ECD, the other models increased joints CPRESS of the operated segment. For adjacent segments, ROM, IDP, and joints CPRESS showed a downward trend in all models. All models showed good biomechanical stability. With their combination biomechanics, safety, and conditions of application, PECF and ATc-ECD could be appropriate choices for cervical spondylotic radiculopathy.

[This corrects the article DOI: 10.3389/fbioe.2021.772853.].

Depression is a widespread neuropsychiatric disorder with limited treatment efficacy and frequent adverse effects. Ferroptosis, an iron-dependent and oxidative stress (OS) - related form of regulated cell death, is emerging as a key pathogenic mechanism in neurological diseases, yet its role in depression remains largely unexplored. This study aimed to evaluate the antidepressant and neuroprotective potential of GLX351322 (GLX), a selective inhibitor of NADPH oxidase 4 (NOX4), by formulating it into a nanocarrier system to overcome its pharmacokinetic limitations. GLX was encapsulated into methoxy poly (ethylene glycol)-poly(ε-caprolactone) (mPEG-PCL) nanoparticles (GLX-NPs) via a simple nanoprecipitation method. Including particle size, zeta (ζ) potential, morphology, drug loading (DL), encapsulation efficiency (EE), biodistribution, and release efficiency, were characterized. In vivo, the antidepressant effect was assessed using a chronic unpredictable mild stress (CUMS) mouse model, while in vitro, the safety profile was evaluated in CORT-induced HT22 cells. Fluorescence, Quantitative real-time PCR (qRT-PCR), and Western blot (WB) experiments were conducted to explore the underlying neuroprotective mechanisms. The average particle size of GLX-NPs was 43.58 ± 3.09 nm, with a ζ potential of approximately -12.13 ± 0.35 mV, a DL of 6.90%, and an EE of 88.79%. GLX-NPs increased the accumulation of the drug in brain tissues. In CUMS mice, GLX-NPs improved depressive-like behaviors and preserved hippocampal neuronal integrity. Mechanistically, GLX-NPs inhibited NOX4 expression, suppressed reactive oxygen species (ROS) production and lipid peroxidation, and activated the Nrf2/HO-1/GPX4 pathway to alleviate ferroptosis. Co-administration with ferroptosis inducers or Nrf2 inhibitors reversed these protective effects. GLX-NPs effectively alleviate depressive-like behaviors by inhibiting neuronal ferroptosis and OS via modulation of the NOX4/Nrf2/HO-1/GPX4 signaling pathway. This study supports the therapeutic potential of GLX-NPs as a novel nanomedicine targeting ferroptosis in the treatment of depression.

Ischemic stroke is a serious disease posing significant threats to human health and life, with the highest absolute and relative risks of a poor prognosis following the first occurrence, and more than 90% of strokes are attributable to modifiable risk factors. Currently, machine learning (ML) is widely used for the prediction of ischemic stroke outcomes. By identifying risk factors, predicting the risk of poor prognosis and thus developing personalized treatment plans, it effectively reduces the probability of poor prognosis, leading to more effective secondary prevention. This review includes 41 studies since 2018 that used ML algorithms to build prognostic prediction models for ischemic stroke, transient ischemic attack (TIA), and acute ischemic stroke (AIS). We analyzed in detail the risk factors used in these studies, the sources and processing methods of the required data, the model building and validation, and their application in different prediction time windows. The results indicate that among the included studies, the top five risk factors in terms of frequency were cardiovascular diseases, age, sex, national institutes of health stroke scale (NIHSS) score, and diabetes. Furthermore, 64% of the studies used single-center data, 65% of studies using imbalanced data did not perform data balancing, 88% of the studies did not utilize external validation datasets for model validation, and 72% of the studies did not provide explanations for their models. Addressing these issues is crucial for enhancing the credibility and effectiveness of the research, consequently improving the development and implementation of secondary prevention measures.

【目的】研究洞庭湖区苦瓜种质资源引进和品种适应性。【方法】引进10种苦瓜资源在洞庭湖区开展品种适应性试验，对苦瓜19项主要农艺性状进行评价鉴定和相关性分析。【结果】茎粗、节间长、叶片长、叶片宽、叶柄长、第一雌花节位、瓜纵径、瓜横径、瓜肉厚、单瓜质量、单株瓜数和产量等性状均表现出差异性；单瓜质量与瓜纵径、节间长呈显著正相关，节间长与茎粗呈显著正相关；瓜肉厚与叶柄长呈显著负相关。【结论】4号苦瓜在洞庭湖区的适应性表现最佳，9号苦瓜可作为特色资源引进用于苦瓜新品种选育。

Lumbar disc herniation (LDH) is the main cause of low back pain and/or radiculopathy. Currently, epidural intervention is a widely used and effective conservative treatment method for managing low back and radicular pain caused by LDH. To explore the effectiveness of different epidural injection approaches in adult patients with lumbosacral radicular pain. Systematic review and network meta-analysis (NMA). An electronic literature search was performed in the Pubmed, Embase, Cochrane Library, and Web of Science databases. Two authors independently performed data extraction and quality assessment. A Bayesian random effects model was conducted to incorporate the estimates of direct and indirect treatment comparisons and rank the interventions in order. Effect estimates from Bayesian NMA were presented as mean difference (MD) with 95% credible intervals (CrI). This NMA assessed caudal (C), interlaminar (IL), transforaminal (TF) and parasagittal interlaminar (PIL) epidural injection approaches for lumbosacral radicular pain from 7 trials. A statistically significant treatment difference for pain relief was reported for midline interlaminar (MIL) vs PIL (MD, 1.16; 95%CrI, 0.31-2.06), MIL vs TF (MD, 1.12; 95%CrI, 0.51-1.85), C vs TF (MD, 1.07; 95%CrI, 0.01-2.18) in short-term follow-up and MIL vs TF (MD, 1.8; 95% CrI, 0.3-3.48) in intermediate-term follow-up. For functional improvement, a statistically significant difference was observed with MIL vs PIL (MD, 9.9; 95% CrI, 0.64-19.94) and MIL vs TF (MD, 1.08; 95% CrI, 1.08-17.08) in short-term follow-up. Moreover, the PIL approach and TF appeoach were ranked in the top 2 for pain relief and functional improvement, both in short-term and intermediate-term follow-up. 1) The number of studies included was small; 2) some treatments lacked direct comparisons; 3) only scores from the visual analog scale for pain and the Oswestry Disability Index were included in the result; 4) important outcomes, such as complications, were not included. In short-term and intermediate-term follow-up, the PIL approach has the highest probability for pain relief and functional improvement.