Elevated microRNA-214-3p level ameliorates neuroinflammation after spinal cord ischemia-reperfusion injury by inhibiting Nmb/Cav3.2 pathway.

BACKGROUND: Neuromedin B (Nmb) plays a pivotal role in the transmission of neuroinflammation, particularly during spinal cord ischemia-reperfusion injury (SCII). However, the detailed molecular mechanisms underlying this process remain elusive. METHODS: The SCII model was established by clamping the abdominal aorta of male Sprague-Dawley (SD) rats for 60 min. The protein expression levels of Nmb, Cav3.2, and IL-1ß were detected by Western blotting, while miR-214-3p expression was quantified by qRT-PCR. The targeted regulation between miR-214-3p and Nmb was investigated using a dual-luciferase reporter gene assay. The cellular localization of Nmb and Cav3.2 with cell-specific markers was visualized by immunofluorescence staining. The specific roles of miR-214-3p on the Nmb/Cav3.2 interactions in SCII-injured rats were explored by intrathecal injection of Cav3.2-siRNA, PD168368 (a specific NmbR inhibitor) and synthetic miR-214-3p agomir and antagomir in separate experiments. Additionally, hind-limb motor function was evaluated using the modified Tarlov scores. RESULTS: Compared to the Sham group, the protein expression levels of Nmb, Cav3.2, and the proinflammatory factor Interleukin(IL)-1ß were significantly elevated at 24 h post-SCII. Intrathecal injection of PD168368 and Cav3.2-siRNA significantly suppressed the expression of Cav3.2 and IL-1ß compared to the SCII group. The miRDB database and dual-luciferase reporter gene assay identified Nmb as a direct target of miR-214-3p. As expected, in vivo overexpression of miR-214-3p by agomir-214-3p pretreatment significantly inhibited the increases in Nmb, Cav3.2 and IL-1ß expression and improved lower limb motor function in SCII-injured rats, while antagomiR-214-3p pretreatment reversed these effects. CONCLUSIONS: Nmb protein levels positively correlated with Cav3.2 expression in SCII rats. Upregulating miR-214-3p ameliorated hind-limb motor function and protected against neuroinflammation via inhibiting the aberrant Nmb/Cav3.2 interactions and downstream IL-1ß release. These findings provide novel therapeutic targets for clinical prevention and treatment of SCII.

Efficacy and Safety of Risankizumab in Patients with Psoriatic Arthritis: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

INTRODUCTION: Currently, the cause of psoriatic arthritis (PsA) is unknown, and the effectiveness of current drug treatments is unsatisfactory. In March 2019, the US Food and Drug Administration (FDA) approved risankizumab, a humanized immunoglobulin G1 (IgG1) monoclonal antibody targeting the p19 subunit of interleukin (IL)-23, for the treatment of PsA in adults. This study aimed to conduct a meta-analysis of double-blind, randomized, placebo-controlled trials to evaluate the effectiveness and safety of risankizumab in moderate-to-severe PsA. METHODS: We conducted a thorough search of relevant databases from the establishment of the databases to October 1, 2023. We conducted a meta-analysis using Stata 12.0 and utilized I2 and Egger tests to assess heterogeneity and publication bias among the studies. Bias assessment was performed using the risk bias map and bias risk summary diagram generated by Revman5.4 software. The review protocols were registered on PROSPERO (CRD42023451894) and adhered to the preferred reporting item of system evaluation (PRISMA) guideline. RESULTS: Six randomized controlled trials (RCTs) involving 5038 patients with PsA treated with either risankizumab or placebo were included in the analysis. At 24 weeks, the risankizumab group demonstrated a significantly higher American College of Rheumatology-20 (ACR20) response rate compared to the placebo group (RR 1.760, 95% CI 1.568-1.977, P < 0.001). Additionally, the risankizumab group showed a significantly higher Minimal Disease Activity (MDA) response rate compared to the placebo group (RR 1.827, 95% CI 1.048-3.184, P < 0.05). The risankizumab group also exhibited improvement in Short Form 36 Questionnaire (SF-36) score (SMD 0.51, 95% CI 0.33-0.69, P < 0.001), with significantly lower Health Assessment Questionnaire Disability Index (HAQ-DI) score (SMD - 0.27, 95% CI - 0.37 to - 0.17, P < 0.001) and higher Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) score (SMD 0.27, 95% CI 0.20-0.35, P < 0.001) compared to the placebo group. Moreover, the risankizumab group had a significantly lower Psoriasis Area and Severity Index (PASI) score (SMD - 6.12, 95% CI - 10.02 to 2.23, P < 0.001). A study by Mease et al. indicated that patients receiving risankizumab generally demonstrated numerical improvements in the Leeds Enthesitis Index (LEI), although the small sample size limits the evidence. Further research is necessary to provide evidence-based guidelines. There were no significant differences in the incidence of serious adverse events (SAE) and serious treatment-emergent adverse events (STEAE) between the risankizumab and placebo groups (RR 0.76, 95% CI 0.45-1.28, P = 0.31; RR 0.99, 95% CI 0.49-1.99, P = 0.97, respectively), and the overall incidence of adverse events (AE) was not comparable (RR 1.10, 95% CI 0.63-1.94, P = 0.73). CONCLUSION: Risankizumab showed superior efficacy across multiple outcome measures compared to placebo, with no significant increase in adverse events. Our findings endorse risankizumab as an excellent treatment option for PsA, offering valuable insights for clinicians and patients when choosing appropriate therapeutic interventions. TRIAL REGISTRATION: Retrospectively registered (CRD42023451894, 16 August 2023).

Acute Changes in the Resting Brain Networks in Concussion Patients: Small-World Topology Perspective.

BACKGROUND: The acute changes that occur in the small-world topology of the brain in concussion patients remain unclear. Here, we investigated acute changes in the small-world organization of brain networks in concussion patients and their influence on persistent post-concussion symptoms. METHODS: Eighteen concussion patients and eighteen age-matched controls were enrolled in this study. All participants underwent computed tomography, magnetic resonance imaging (MRI), susceptibility weighted imaging, and blood oxygen level-dependent functional MRI. A complex network analysis method based on graph theory was used to calculate the parameters of small-world networks under different degrees of network sparsity. All subjects were evaluated using the Glasgow Coma Scale and Rivermead Postconcussion Symptom Questionnaire. RESULTS: Compared with the controls, the normalized cluster coefficient (γ) of whole brain networks in patients and the "small-world" index (σ) was slightly enhanced, whereas the standardized minimum path (λ) was slightly shorter. Whole brain effect (Eglobal) and local effect (Elocal) changes were not pronounced. Under the condition of minimum network sparsity (Dmin = 0.13), the numbers of nodes in the "right intraorbital superior frontal gyrus" (Anatomical Automatic Labeling, AAL26), right globus pallidus (AAL76), and bilateral temporal transverse gyrus (AAL79,80) in brain concussion patients were significantly lower. The numbers of nodes in the left subcapital lobe (AAL61) and left occipital gyrus (AAL51) were significantly higher, and the normalized cluster coefficients of the right intraorbital supraphalus (AAL26) and left posterior cingulate gyrus (AAL35) were significantly increased. The normalized clustering coefficients of the right triangular subfrontal gyrus (AAL55) (based on the normalized clustering coefficients of nodes in AAL14) and left sub-parietal lobes (AAL61) were significantly reduced. The mean local effects of nodes in the right intraorbital upper frontal gyrus (AAL26), left posterior cingulate gyrus (AAL35), and bilateral auxiliary motor cortex (AAL19, 20) were enhanced, whereas the mean local effects of the bilateral triangular inferior frontal gyrus (AAL13,14) and left insular cap (AAL11) were reduced (p < 0.05). CONCLUSIONS: The overall trend of network topology abnormalities in patients was random, and generalized and local functional abnormalities were seen. Changes in the function and affective circuitry of the resting default network were particularly pronounced in these patients, which we speculate may be one of the main drivers of the cognitive dysfunction and mood changes seen in concussion patients.

New strategies for targeting PD-1/PD-L1:degraders,bifunctional molecules and covalent inhibitors / 中国药科大学学报

Programmed cell death protein-1(PD-1)/programmed cell death ligand-1(PD-L1)has been considered to be one of the most promising targets for tumor immunotherapy.At present,both monoclonal antibody drugs and small molecule inhibitors targeting PD-1/PD-L1 are facing bottlenecks.Numerous researchers have tried to explore different strategies to block the PD-L1/PD-L1 pathway,hoping to improve the effects of tumor immunotherapy.This review focuses on the degraders,bifunctional molecules and covalent inhibitors that target PD-L1,aiming to provide inspiring insights for the development of anti-PD-1/PD-L1 drugs.

Hesperitin attenuates alcoholic steatohepatitis by regulating TLR4/NF-κB signaling in mice.

In the peel of citrus (Rutaceae) fruit, hesperitin (Hesp), a flavanone glycoside chemical, is found naturally. Hesp has been found to have a wide range of pharmacological actions, including anti-inflammatory, antioxidant, antiviral, and anticancer properties, according to earlier research. However, nothing is known regarding its function in alcoholic liver steatosis and inflammation. In this study, we employed a network pharmacology approach to identify the TLR4 signaling pathway as a primary target of Hesp for the treatment of alcoholic steatohepatitis (ASH). Molecular docking results showed that Hesp bound to the representative target TLR4 and exhibited good affinity. In addition, Hesp inhibits the TLR4 target and consequently the NF-κB signaling pathway, which in turn slows the evolution of alcoholic steatohepatitis, according to further in vitro and in vivo tests. The results of this study preliminarily indicate that Hesp is an ideal drug candidate for the treatment of ASH.

Differential diagnosis of hepatocellular carcinoma and intrahepatic cholangiocarcinoma based on spatial and channel attention mechanisms.

BACKGROUND: The pre-operative non-invasive differential diagnosis of hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) mainly depends on imaging. However, the accuracy of conventional imaging and radiomics methods in differentiating between the two carcinomas is unsatisfactory. In this study, we aimed to establish a novel deep learning model based on computed tomography (CT) images to provide an effective and non-invasive pre-operative differential diagnosis method for HCC and ICC. MATERIALS AND METHODS: We retrospectively investigated the CT images of 395 HCC patients and 99 ICC patients who were diagnosed based on pathological analysis. To differentiate between HCC and ICC we developed a deep learning model called CSAM-Net based on channel and spatial attention mechanisms. We compared the proposed CSAM-Net with conventional radiomic models such as conventional logistic regression, least absolute shrinkage and selection operator regression, support vector machine, and random forest models. RESULTS: With respect to differentiating between HCC and ICC, the CSAM-Net model showed area under the receiver operating characteristic curve (AUC) values of 0.987 (accuracy = 0.939), 0.969 (accuracy = 0.914), and 0.959 (accuracy = 0.912) for the training, validation, and test sets, respectively, which were significantly higher than those of the conventional radiomics models (0.736-0.913 [accuracy = 0.735-0.912], 0.602-0.828 [accuracy = 0.647-0.818], and 0.638-0.845 [accuracy = 0.618-0.849], respectively. The decision curve analysis showed a high net benefit of the CSAM-Net model, which suggests potential efficacy in differentiating between HCC and ICC in the diagnosis of liver cancers. CONCLUSIONS: The proposed CSAM-Net model based on channel and spatial attention mechanisms provides an effective and non-invasive tool for the differential diagnosis of HCC and ICC on CT images, and has potential applications in diagnosis of liver cancers.

Characteristics and research status among clinical trials in cardio-oncology by bibliometric and visualized analysis.

BACKGROUND: We aim to establish the characteristics of published cardio-oncology research of clinical trials by bibliometric analysis and to talk about the prospects and difficulties facing the development of cardio-oncology. METHODS: Search of data related to clinical trials in cardiac oncology from 1990 to 2022 from the Web of Science core collection. Using CiteSpace to perform co-citation analysis of authors, countries (regions) and institutions, journals and cited journals, cited authors and cited literature, and keywords. RESULTS: Of the 607 clinical trial studies, the number of papers published per year has increased over time. The regions with the greatest influence were North America (especially the United States) and Europe. Multicenter research has always been the focus of cardio-oncology research, but cross-regional cooperation was still lacking. Myocardial toxicity caused by anthracyclines has received the earliest attention and has been studied for the longest time. Meanwhile, the efficacy and cardiotoxicity of new anticancer drugs always came into focus, but at a slow pace. Few studies on myocardial toxicity were related to the treatment of tumors except breast cancer. Risk factors, heart disease, adverse outcomes, follow-up, and intervention protection were the major hotspots revealed by co-citation cluster. CONCLUSIONS: There is great potential for the development of clinical trials in cardio-oncology, especially in multicenter cooperation across different regions. Expansion of tumor types, myocardial toxicity of different drugs, and effective interventions in the research direction and design of clinical trials are necessary.

Nitrogen dioxide detection using tandem integrating spheres as a gas absorption cell based on gas absorption spectroscopy.

This paper presents a nitrogen dioxide detection device based on gas absorption spectroscopy by connecting two integrating spheres as a gas cell, observing the feasibility of the tandem integrating spheres as a gas cell, and taking a single integrating sphere as a gas cell for comparison experiments. Theoretical knowledge of the effective path length of tandem integrating spheres was established, and the theoretical derivation was further verified by experiments investigating the relationship between absorbance and gas concentration. This work makes it possible to develop a gas sensor that can reduce the volume of the gas cell and keep the effective optical path length unreduced.

KLF14/miR-1283/TFAP2C axis inhibits HER2-positive breast cancer progression via declining tumor cell proliferation.

MiR-1283 has been identified as a tumor suppressor in some malignancies. Whereas, the role of miR-1283 in HER2-positive (HER2+) breast cancer, particularly its role in regulating cell proliferation, one of the most significant features of tumor progression, is unclear. The related microRNA screened by the breast cancer sample GSE131599 dataset were detected in HER2+ breast cancer tissues and cell lines. Then, the obtained miR-1283 was overexpressed in SKBR3 and BT-474 cells followed by relevant functional assays concerning cell proliferation and apoptosis. The xenograft mouse model was induced and the effect of miR-1283 on tumor growth and cell proliferation was examined. The target of miR-1283 and the transcription factor regulating miR-1283 were predicted and identified. Finally, the influence of transcription factor KLF14 on cell proliferation and apoptosis was investigated. An integrated analysis confirmed that miR-1283 expression was significantly decreased in HER2+ breast cancer tissues. Also, by q-RT-PCR detection, miR-1283 expression was markedly reduced in HER2+ breast cancer tissues and cell lines. The miR-1283 overexpression prevented the proliferation and enhanced apoptosis of HER2+ breast cancer cells, as well as inhibited tumor growth. Mechanistically, miR-1283 inhibited TFAP2C expression by targeting the 3'-untranslated regions of TFAP2C messenger RNA, and the KLF14 enhanced miR-1283 level via binding to its promoter. The result subsequently confirmed the KLF14/miR-1283 signaling suppressed cell proliferation in HER2+ breast cancer. Our results suggested that the KLF14/miR-1283/TFAP2C axis inhibited HER2+ breast cancer progression, which might provide novel insight into mechanical exploration for this disease.