circRNA mannosidase alpha class 1A member 2 contributes to the proliferation and motility of papillary thyroid cancer cells through upregulating metadherin via absorbing microRNA-449a.

Papillary thyroid carcinoma (PTC) is a common malignancy in endocrine system globally. Accumulating articles have found that circular RNAs (circRNAs) were dysregulated, and they were involved in PTC development. The aim of this project was to explore the function and associated mechanism of circRNA mannosidase alpha class 1A member 2 (circMAN1A2) in PTC progression. The expression of RNA was determined by real-time quantitative PCR. Cell proliferation ability was analyzed by colony formation assay and 5-ethynyl-2'-deoxyuridine assay. Cell migration and invasion were assessed by wound healing assay and transwell invasion assay, respectively. Protein levels were determined by Western blot assay. Dual-luciferase reporter assay and RNA immunoprecipitation assay were applied to confirm the interaction between microRNA-449a (miR-449a) and circMAN1A2 or metadherin (MTDH). Xenograft tumor model was utilized to explore the effect of circMAN1A2 silencing on tumor growth in vivo . CircMAN1A2 expression was elevated in PTC specimens and three PTC cell lines relative to adjacent normal specimens and Nthy-ori 3-1 cell line. CircMAN1A2 silencing inhibited the proliferation and motility of PTC cells. CircMAN1A2 acted as a molecular sponge of miR-449a, and circMAN1A2 knockdown suppressed PTC development partly through upregulating miR-449a. MiR-449a bound to the 3' untranslated region of MTDH, and miR-449a restrained PTC progression partly through down-regulating MTDH. CircMAN1A2 interference suppressed PTC progression in vivo . CircMAN1A2 contributed to the proliferation ability and motility of PTC cells through enhancing MTDH expression via sponging miR-449a.

Modified Microcoil for Preoperative Localization of Solitary Pulmonary Nodules: A Prospective, Single-Arm, Multicenter Clinical Study.

PURPOSE: To evaluate the efficacy and safety of placement of a modified microcoil for precise preoperative localization of solitary pulmonary nodules (SPNs) before video-assisted thoracoscopic surgery (VATS). MATERIALS AND METHODS: This prospective, single-arm, multicenter study included patients who underwent computed tomography (CT)-guided modified microcoil insertion prior to SPN resection by VATS between January 2018 and June 2018. The patient demographics, nodule characteristics, and histopathologic findings were recorded. The primary endpoints included efficacy and safety. RESULTS: A total of 96 patients (41 men and 55 women; mean age, 59.3 years ± 8.9) with 96 SPNs were eligible for enrolment in the study. The mean maximal transverse diameter of the nodules was 10.3 mm ± 5.2 (range, 8-20 mm). The mean time between CT-guided microcoil insertion and the start of the surgical procedure was 14.6 hours (range, 12-24 hours). The duration of the preoperative CT-guided microcoil localization procedure was 29 minutes ± 9 (range, 10-35 minutes), and the intraoperative fluoroscopy time was 0.7 minutes ± 0.7 (range, 0.5-3 minutes). The clinical success rate was 96.9% (93/96), and all nodules were successfully resected using VATS. One patient experienced asymptomatic pneumothorax, but there were no cases of pulmonary hemorrhage. CONCLUSIONS: SPN localization with the modified microcoil is feasible and safe. The modified microcoil can facilitate the thoracoscopic resection of SPNs.

Covalent hyperbranched porous carbon nanospheres as a polymeric stationary phase for ion chromatography.

This work presents a method for covalent quaternization of porous carbon nanospheres (PCNSs) and their application as anion exchanging stationary phase for ion chromatography. The PCNSs were covalently quaternized via the dehydration condensation between surface carboxyl groups and polyethyleneimine. This was followed by a repeated epoxy-amine addition reaction with ethylene glycol diglycidyl ether. As a result, surface methylamino groups are formed. The electrostatic interaction between quaternized PCNSs and sulfonated poly(polystyrene-co-divinylbenzene) resulted in the formation of an agglomerated stationary phase. The capacities (41.5-90.2 µequiv) and pressures (540-1150 psi) of column packed with novel phases (100 × 4.0 mm i.d.) were further increased with grafted polymer layer counts (2-5). Common inorganic anions, small organic acids and saccharides were rapidly separated on the new phases. The column efficiencies for seven inorganic anions ranged from 38,400 to 13,200 plates m-1. Through 8 days of flushing test, the RSD values for retention time and efficiencies varied from 0.56% to 1.32%, and from 0.34% to 0.74%, respectively. Graphical abstract Schematic presentation of the covalent modification of porous carbon nanospheres (PCNSs) with hyperbranched quaternized polymers via the amidation and epoxy-amine addition reaction was depicted. Functionalized PCNSs were further applied as agglomerated materials of polymeric stationary phase for ion chromatography (IC).

Preliminary results for treatment of early stage breast cancer with endoscopic subcutaneous mastectomy combined with endoscopic sentinel lymph node biopsy in China.

BACKGROUND AND OBJECTIVES: To evaluate efficacy and aesthetic outcome for combined endoscopic subcutaneous mastectomy (E-SM) and endoscopic sentinel lymph node biopsy (E-SLNB) in early stage breast cancer patients. METHODS: Combined E-SM+E-SLNB was compared to modified radical resection in a cohort of Chinese patients (n = 49) with stages I and II breast cancer. Patient satisfaction with the aesthetic results was assessed 1 year after surgery with a 5-item-by-4-step scoring system for evaluating cosmetic outcomes. RESULTS: All patients were alive 1 year following surgery with no locoregional recurrence or distant metastases and without any critical complications. The average length of incision was less in patients receiving E-SM+E-SLNB (4.4 vs. 19.4 cm; P < 0.001), but time in surgery was longer (131.6 vs. 99.2 min; P = 0.024). After 1 year, nearly all E-SM+E-SLNB patients rated satisfaction with their appearance as excellent or good (23/24; 95.8% vs. 19/25; 76.0%; P < 0.001), and exhibited less disturbance of sensory (P < 0.001) and motor function (P = 0.014) relative to modified radical resection. CONCLUSIONS: E-SM+E-SLNB provides significant aesthetic and functional advantages for patients with early stage breast cancer without compromising medical efficacy as assessed at 16 months postsurgery. J. Surg. Oncol. 2016;113:616-620. © 2016 Wiley Periodicals, Inc.

In vitro study of antigrowth capacity and antiacid capacity on Sreptococcus sobrinus 6715 of sorghum procyanidin dimers.

The bacteria grow in oral cavity and product acids, which could induce dental caries. In this study, in order to obtain the relationship between procyanidin dimers from sorghum episperm (sorghum procyanidins, SPC) and its anticaries effect. The extract of SPC purified by macroporous resin was divided into three parts by gel chromatography, marked as GPC-1, GPC-2, and GPC-3 in order. The ESI-MS and MS/MS analysis indicated that the main composition of GPC-2 was procyanidin dimers. In addition, the capacities of antigrowth and antiacid on Sreptococcus sobrinus 6715 were analysised to investigate the effect of SPC dimers in protecting against dental caries. The results indicated that the minimum inhibitory concentration (MIC) of SPC dimers was 16 mg/mL. Furthermore, the SPC dimers had notable preventive effect < against the acid production of Sreptococcus sobrinus 6715 compared with the control group, which suppressed in a dose-dependent manner by pH decline. These findings indicated that SPC dimers had potential to be used as anticaries preventive medicine due to its strong capacity of antigrowth and antiacid.

Automatic segmentation of spine x-ray images based on multiscale feature enhancement network.

BACKGROUND: Automatic segmentation of vertebrae in spinal x-ray images is crucial for clinical diagnosis, case analysis, and surgical planning of spinal lesions. PURPOSE: However, due to the inherent characteristics of x-ray images, including low contrast, high noise, and uneven grey scale, it remains a critical and challenging problem in computer-aided spine image analysis and disease diagnosis applications. METHODS: In this paper, a Multiscale Feature Enhancement Network (MFENet), is proposed for segmenting whole spinal x-ray images, to aid doctors in diagnosing spinal-related diseases. To enhance feature extraction, the network incorporates a Dual-branch Feature Extraction Module (DFEM) and a Semantic Aggregation Module (SAM). The DFEM has a parallel dual-branch structure. The upper branch utilizes multiscale convolutional kernels to extract features from images. Employing convolutional kernels of different sizes helps capture details and structural information at different scales. The lower branch incorporates attention mechanisms to further optimize feature representation. By modeling the feature maps spatially and across channels, the network becomes more focused on key feature regions and suppresses task-irrelevant information. The SAM leverages contextual semantic information to compensate for details lost during pooling and convolution operations. It integrates high-level feature information from different scales to reduce segmentation result discontinuity. In addition, a hybrid loss function is employed to enhance the network's feature extraction capability. RESULTS: In this study, we conducted a multitude of experiments utilizing dataset provided by the Spine Surgery Department of Henan Provincial People's Hospital. The experimental results indicate that our proposed MFENet demonstrates superior segmentation performance in spinal segmentation on x-ray images compared to other advanced methods, achieving 92.61 ± 0.431 for MIoU, 92.42 ± 0.329 for DSC, and 99.51 ± 0.037 for Global_accuracy. CONCLUSIONS: Our model is able to more effectively learn and extract global contextual semantic information, significantly improving spinal segmentation performance, further aiding doctors in analyzing patient conditions.

Mapping global mangrove canopy height by integrating Ice, Cloud, and Land Elevation Satellite-2 photon-counting LiDAR data with multi-source images.

Large-scale and precise measurement of mangrove canopy height is crucial for understanding and evaluating wetland ecosystems' condition, health, and productivity. This study generates a global mangrove canopy height map with a 30 m resolution by integrating Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) photon-counting light detection and ranging (LiDAR) data with multi-source imagery. Initially, high-quality mangrove canopy height samples were extracted using meticulous processing and filtering of ICESat-2 data. Subsequently, mangrove canopy height models were established using the random forest (RF) algorithm, incorporating ICESat-2 canopy height samples, Sentinel-2 data, TanDEM-X DEM data and WorldClim data. Furthermore, a global 30 m mangrove canopy height map was generated utilizing the Google Earth Engine platform. Finally, the global map's accuracy was evaluated by comparing it with reference canopy heights derived from both space-borne and airborne LiDAR data. Results indicate that the global 30 m resolution mangrove height map was found to be consistent with canopy heights obtained from space-borne (r = 0.88, Bisa = -0.07 m, RMSE = 3.66 m, RMSE% = 29.86 %) and airborne LiDAR (r = 0.52, Bisa = -1.08 m, RMSE = 3.39 m, RMSE% = 39.05 %). Additionally, our findings reveal that mangroves worldwide exhibit an average height of 12.65 m, with the tallest mangrove reaching a height of 44.94 m. These results demonstrate the feasibility and effectiveness of using ICESat-2 data integrated with multi-source imagery to generate a global mangrove canopy height map. This dataset offers reliable information that can significantly support government and organizational efforts to protect and conserve mangrove ecosystems.

The neural mechanisms underlying the processing of consonant, vowel and tone during Chinese typing: an fNIRS study.

Many studies have explored the role of consonant, vowel, and tone in Chinese word identification or sentence comprehension. However, few studies have explored their roles and neural basis during Chinese word production, especially when involving neural basis. The present fNIRS study investigated the neural mechanisms of consonant, vowel, and tone processing during Chinese typing. Participants were asked to name the Chinese characters displayed on a computer screen by typing on a keyboard while hearing a simultaneously presented auditory stimulus. The auditory stimulus was either consistent with the characters' pronunciation (consistent condition) or mismatched in the consonant, vowel, or tone of the character pronunciation. The fNIRS results showed that compared with the consistent condition (as baseline), the consonant mismatch condition evoked lower levels of oxygenated hemoglobin (HbO) activation in the left inferior frontal gyrus Broca's triangle and left superior temporal gyrus. Vowel mismatch condition evoked a higher level of HbO activation in the top of the left inferior frontal gyrus and left middle frontal gyrus. The regions and patterns of brain activation evoked by tone mismatch were the same as those of vowel mismatch. The study indicated that consonant, vowel and tone all play a role in Chinese character production. The sensitive brain areas were all in the left hemisphere. However, the neural mechanism of consonant processing differed from vowel processing in both brain regions and patterns, while tone and vowel processing shared the same regions.

A dual functional polypeptide with antibacterial and anti-inflammatory properties for the treatment of periodontitis.

Periodontitis has been reported as the sixth most prevalent disease in human beings. This destructive disease is closely related to systemic diseases. Existing local drug delivery systems for periodontitis suffer from poor antibacterial effect and drug resistance. Inspired by the pathogenesis of periodontitis, we implemented a strategy to construct a dual functional polypeptide LL37-C15, which exhibited remarkable antibacterial effect against P. gingivalis and A. actinomycetemcomitans. In addition, LL37-C15 inhibits the release of pro-inflammatory cytokines by controlling the inflammatory pathway and reversing macrophage M1. Furthermore, the anti-inflammatory effect of LL37-C15 was also verified in vivo in a periodontitis rat model through the morphometry and histological observations of alveolar bone, hematoxylin-eosin, and Trap staining in gingival tissue. The results of molecular dynamics simulations showed that LL37-C15 could selectively destroy the bacterial cell membrane and protect the animal cell membrane in a self-destructive manner. The results showed that the polypeptide LL37-C15, as a novel promising therapeutic agent, exhibited a great potential for the periodontitis management. What's more, this dual functional polypeptide provides a promising strategy for building a multifunctional therapeutic platform against the inflammation and other diseases.

EDTA-functionalized silica nanoparticles as a conditioning agent for dentin bonding using etch-and-rinse technique.

OBJECTIVE: This study investigated the possibility of using ethylenediaminetetraacetic acid functionalized silica nanoparticles (EDTA-SiO2) as a dentin-conditioning agent using etch-and-rinse technique to promote the durability of dentin bonding. METHODS: The SiO2-EDTA were synthesized by N- [(3- trimethoxysilyl) propyl] ethylenediamine triacetic acid (EDTA-TMS) and SiO2 (50 nm), then characterized by Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), X-ray photoelectron spectroscopy (XPS) and transmission electron microscopy (TEM). The capacity of SiO2-EDTA to chelate calcium ions from dentin was examined by inductively coupled plasma-optic emission spectrometry (ICP-OES). The dentin surfaces conditioned with SiO2-EDTA were detected by field emission scanning electron microscopy (SEM), TEM and microhardness testing. For dentin bonding, dentin surfaces were adopted wet- or dry-bonding technique and bonded with adhesive (AdperTM Single Bond2) and applied composite resin (Filtek Z350) on them. The durability of dentin bonding was evaluated by mircotensile bond strength test, in-situ zymography and nanoleakage testing. RESULTS: FTIR, TGA and XPS results showed that SiO2-EDTA contained N element and carboxyl groups. SEM, TEM and microhardness results indicated that SiO2-EDTA group created extrafibrillar demineralization and retained more intrafibrillar minerals within dentin surface. In the dentin bonding experiment, SiO2-EDTA group achieved acceptable bond strength, and reduced the activity of matrix metalloproteinase and nanoleakage along bonding interface. CONCLUSION: It was possible to generate a feasible dentin conditioning agent (SiO2-EDTA), which could create dentin extrafibrillar demineralization and improve dentin bond durability. CLINICAL SIGNIFICANCE: This study introduces a new dentin conditioning scheme based on SiO2-EDTA to create extrafibrillar demineralization for dentin bonding. This strategy has the potential to be used in clinic to promote the life of restoration bonding.

Neuronal Apoptosis in Patients with Liver Cirrhosis and Neuronal Epileptiform Discharge Model Based upon Multi-Modal Fusion Deep Learning.

Neurons refer to nerve cells. Each neuron is connected with thousands of other neurons to form a corresponding functional area and carry out complex communication with other functional areas. Its importance to the human body is self-evident. There are also many scholars studying the mechanism of apoptosis. This paper proposes a study of neuronal apoptosis in patients with liver cirrhosis and neuronal epileptiform discharge models based on multi-modal fusion deep learning, aiming to study the influencing factors of abnormal neuronal discharge in the brain. The method in this paper is to study multi-modal information fusion methods, perform Bayesian inference, and analyze multi-modal medical data. The function of these research methods is to obtain the relationship between the independence of information and the intersection of information among modalities. In the neuronal epileptiform discharge model, the mRNA expression level of the necroptotic signaling pathway related protein was detected, and the mechanism of neuronal necrosis in patients with liver cirrhosis was explored. Experiments show that the neuron recognition rate has been increased from 67.2% to 84.5%, and the time has been reduced, proving the effectiveness of deep learning.

CT-based skeletal muscle loss for predicting poor survival in patients with hepatocellular carcinoma experiencing curative hepatectomy plus adjuvant transarterial chemoembolization: a preliminary retrospective study.

BACKGROUND: To evaluate the prognostic value of skeletal muscle index (SMI) and its change in patients with hepatocellular carcinoma (HCC) experiencing curative hepatectomy plus adjuvant transarterial chemoembolization (TACE). MATERIALS AND METHODS: A total of 62 patients with HCC who underwent adjuvant TACE after curative hepatectomy were analysed retrospectively. Skeletal muscle area at the third lumbar level was quantitated using computed tomography images and was normalized for height squared to obtain skeletal muscle index (SMI). Skeletal muscle loss (SML) over 6 months was computed with two SMIs before and after hepatectomy plus adjuvant TACE. Correlation analyses were preformed to investigate factors associated with SML. The curves of cause-specific survival (CSS) were analysed using the Kaplan-Meier method. A Cox proportional hazards model was used to assess prognostic factors. RESULTS: Low SMI was diagnosed in 23(37.1%) patients preoperatively. The median SML standardized by 6 months was - 1.6% in the entire cohort. Liver cirrhosis and microvascular invasion correlated negatively with SML, respectively (r = - 0.320, P = 0.002; r = - 0.243, P = 0.021). Higher SML (< - 2.42%) predicted a significant reduction in CSS (P = 0.001), whereas low SMI did not(P = 0.687). Following the multivariate analysis for CSS, AFP > 400 ng/ml (HR, 5.643; 95%CI, 3.608-17.833; P < 0.001) and SML < - 2.42%(HR, 6.586; 95%CI, 3.610-22.210; P < 0.001) were independent predictors for poor CSS. CONCLUSIONS: Skeletal muscle loss during hepatectomy plus adjuvant TACE was remarkable. Higher SML was an independent risk factor for CSS in patients with HCC, especially those with liver cirrhosis.

Automatic Detection and Classification of Epileptic Seizures in Patients with Liver Cirrhosis and Overlapping Hev Infection Based on Deep Multimodal Fusion Technology.

Liver cirrhosis is a clinical chronic developmental liver disease, which is caused by long-term or repeated effects of liver dysfunction, and there are more and more cases of epileptic seizures in patients with liver cirrhosis and HEV infection. This article aims to study how to analyze epileptic seizures in patients with liver cirrhosis and overlapping HEV infection based on deep multimodal fusion technology. This article proposes a deep learning neural network algorithm based on deep multimodal fusion technology, and how to use this algorithm to automatically detect and classify epileptic seizures. The data in the experiment in this article show that the prevalence of epilepsy accounts for 1% of the world's population, about 56.7 million people, and 1 in 25 people may have an epileptic seizure at some time in their lives, and in each person's life, the probability of seizures due to various reasons is 10%. In 2016, the proportion of males with cirrhosis reached 16%, females reached 8%, and males were 8% higher than females, which is a full double. The test results show that with the increase in patients with cirrhosis and overlapping HEV infection, the frequency of epileptic seizures is also getting higher and higher, indicating that the frequency of epileptic seizures has been increased in patients with cirrhosis and overlapping HEV infection. Therefore, it is imperative to analyze the epileptic seizures of patients with liver cirrhosis and overlapping HEV infection based on deep multimodal fusion technology.

Regulation of Quality of Life and Immune Function in Patients with Thyroid Cancer Treated by Deep Learning Technology.

Background: In order to explore the regulation of quality of life and immune function in patients with thyroid cancer after radiotherapy, a method based on deep learning technology was proposed. A deep learning detection method for thyroid cancer is proposed. Methods: It mainly includes three main modules: data preprocessing, thyroid cancer regional detection module, and thyroid cancer benign and malignant classification module. The data set in the experiment comes from LIDC-IDRI and is processed by the data preprocessing module to generate a standard data format that can be processed by the framework. The treatment of thyroid cancer can help patients relapse malignant thyroid cancer and prevent recurrence in advance. Results: The results showed that most patients are diagnosed because of obvious swelling of local thyroid mass and conscious compression symptoms in the neck. At this time, they often miss the best treatment time, so as to reduce the surgical effect. Conclusions: The metastasis and invasion of cancer cells are fast, the cancerous lesions are easy to form adhesion with the surrounding tracheal tissue, and the cancer cells invade the surrounding soft tissue, which is also easy to cause the cancerous tissue not to be completely removed. Clinical Trial Registration. Therefore, deep learning technology is used to treat residual cancerous lesions to ensure the surgical effect.

Predictive value of hepatic venous pressure gradient and efficacy and significance of early PTVE for gastrointestinal bleeding after TACE for liver cancer.

Aims: To investigate the predictive value of hepatic venous pressure gradient (HVPG) and the efficacy and significance of early percutaneous transhepatic varices embolization (PTVE) for gastrointestinal bleeding after transcatheter arterial chemoembolization (TACE) for liver cancer. Methods and Materials: This retrospective study enrolled 60 patients diagnosed with stage B or stage C liver cancer, according to the Barcelona Clinic Liver Cancer (BCLC) staging system, between December 2019 and October 2021. TACE and HVPG measurement (>16 mmHg or >20 mmHg) were performed on all 60 patients, who were randomized into control and experimental (PTVE) groups. All patients were followed up for 12 months. Statistical Analysis Used: SPSS 20.0 software was used for data analysis. The two groups were compared with respect to the initial occurrence time of hemorrhage after TACE, recurrence time of hemorrhage, liver function, TACE frequency, TACE type, and tumor control. Results: The initial hemorrhage rates at one, three, six, and 12 months after TACE were 3.2%, 12.9%, 22.6%, and 48.4%, respectively, in the control group (n = 31) and 0%, 0%, 3.4%, and 10.3%, respectively, in the PTVE group (n = 29). Differences between the groups in terms of initial hemorrhage rate at six and 12 months postoperatively were significant (P < 0.05). The recurrence rates of hemorrhage at one, three, six, and 12 months after TACE were 11.1%, 22.2%, 22.2%, and 33.3%, respectively, in 27 patients in the control group. In eight patients in the PTVE group, the corresponding rates were 0%, 0%, 0%, and 25.0%. The differences between the groups in the recurrence rate of hemorrhage at the four time points were significant (P < 0.05). At six months postoperatively, liver function recovery and remission were noted in eight (25.8%) and 18 (66.7%) patients, respectively, in the control group; these events were noted in 10 (34.5%) and 19 patients (65.5%), respectively, in the PTVE group, and the difference between the groups was not significant (P > 0.05). In the control group, TACE was performed for a total of 94 times on 31 patients within 12 months, including conventional transcatheter arterial chemoembolization (C-TACE, 75.5%) and the drug-eluting bead TACE (DEB-TACE, 24.5%); the objective response rate (ORR) was 39.3%. In the PTVE group, TACE was performed for a total of 151 times on 29 patients within 12 months, with an average of 5.21 times on each patient, including the C-TACE (57.6%) and DEB-TACE (42.4%); the ORR was 60.1%. Differences in TACE frequency, proportion of C-TACE/DEB-TACE, and ORR were significant between the two groups (P < 0.05). Conclusion: HVPG can accurately evaluate gastrointestinal bleeding after TACE in patients with liver cancer. Early PTVE can significantly lower the risk of gastrointestinal bleeding and help TACE control tumor progression in patients with an HVPG >16 mmHg or >20 mmHg.

Advances in Innate Immunity to Overcome Immune Rejection during Xenotransplantation.

Transplantation is an effective approach for treating end-stage organ failure. There has been a long-standing interest in xenotransplantation as a means of increasing the number of available organs. In the past decade, there has been tremendous progress in xenotransplantation accelerated by the development of rapid gene-editing tools and immunosuppressive therapy. Recently, the heart and kidney from pigs were transplanted into the recipients, which suggests that xenotransplantation has entered a new era. The genetic discrepancy and molecular incompatibility between pigs and primates results in barriers to xenotransplantation. An increasing body of evidence suggests that innate immune responses play an important role in all aspects of the xenogeneic rejection. Simultaneously, the role of important cellular components like macrophages, natural killer (NK) cells, and neutrophils, suggests that the innate immune response in the xenogeneic rejection should not be underestimated. Here, we summarize the current knowledge about the innate immune system in xenotransplantation and highlight the key issues for future investigations. A better understanding of the innate immune responses in xenotransplantation may help to control the xenograft rejection and design optimal combination therapies.

Clinical and Imaging Study of Repetitive Transcranial Magnetic Stimulation in the Treatment of Morphine Dependence Through mGluR5/TDP43/NR2B Pathway.

Morphine is tolerable after long-term use. After long-term use, it will have a great impact on the human body, and the treatment effect is not good. In recent years, the continuous development of repetitive transcranial magnetic stimulation (rTMS) treatment technology has made a treatment. Drug-resistant morphine dependence has a breakthrough. In this article, to study the effect of repeated transcranial magnetic stimulation in the treatment of morphine dependence through mGluR5/TDP43/NR2B pathway, experiments were carried out on rats to compare the changes in the images of rats after different periods of morphine use and their effects on morphine withdrawal. During the period, the performance of rats provides a reference for repeated transcranial stimulation to treat morphine dependence. According to the experimental results, after stopping morphine, withdrawal from the rats, irritable acts, and patience diminished. This is a decrease of more than 50% in comparison with the one of the normal group. There was a different degree of variability in the treatment images of mGluR5/TDP43 and so on after rTMS treatment, and the changes were large. These reductions in detoxification responses in rodents suggest that rTMS serves an instrumental role in the prevention and treatment of phosphorylation related to morphine dependence.

Effectiveness and safety of repetitive transcranial magnetic stimulation for the treatment of morphine dependence: A retrospective study.

ABSTRACT: Morphine dependence (MD) is a very common complication because of the chronic morphine consumption. Studies suggest that repetitive transcranial magnetic stimulation (rTMS) can be used for the treatment of MD. However, there is still lacking evidence to support rTMS for MD. Thus, this retrospective study aimed to investigate the effectiveness and safety of rTMS for patients with MD.In this retrosepctive study, a total of 100 patients with MD were included, and they were divided into a rTMS group (n = 50), and a control group (n = 50). All patients in both groups received occupational therapy. In addition, patients in the rTMS group received rTMS. All patients in both groups received a total of 8 weeks treatment. The outcomes comprised of morphine craving intensity, depression, anxiety, and sleep quality, which were appraised by Visual Analogue Scale (VAS), Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), and Pittsburgh Sleep Quality Index (PSQI), respectively. In addition, treatment-related adverse events were also considered for assessment.After 8 weeks treatment, patients in the rTMS group exerted better benefits in improving VAS (P < .01), SDS (P < .01), SAS (P < .01), and PSQI (P < .01), than patients in the control group. In addition, this study did not identify treatment-related adverse events in both groups.The findings of this study showed that rTMS treatment showed promising effectiveness on patients with MD. However, future studies should focus on warranting the present findings.

Effect of cinnamaldehyde on Cav-1 and Survivin expression in epilepsy: A protocol of systematic review and meta-analysis.

BACKGROUND: This systematic review aims to assess the effect of cinnamaldehyde on Cav-1 and Survivin expression in epilepsy. METHODS: We will search Cochrane Library, PUBMED, EMBASE, CINAHL, Web of Science, Google Scholar, PsycINFO, WANGFANG, VIP, CBM, and CNKI from their inceptions to the March 31, 2020, without language restrictions. Two authors will independently carry out searching literature records, scanning titles and abstracts, full texts, collecting data, and assessing risk of bias. RevMan 5.3 software will be used for statistical analysis. RESULTS: This systematic review will investigate whether cinnamaldehyde is effective on Cav-1 and Survivin expression in epilepsy. CONCLUSION: Its findings will provide helpful evidence for the effect of cinnamaldehyde on Cav-1 and Survivin expression in epilepsy.Systematic review registration: INPLASY202040152.

Hydrochars from pinewood for adsorption and nonradical catalysis of bisphenols.

In the present study, hydrochars (HCs) were prepared from pinewood biomass by high-temperature pyrolysis and applied as environmental-friendly adsorbents and catalysts in the removal of bisphenol F (BPF) and bisphenol S (BPS) from water. It was found that the structural oxygen defects on hydrochars not only enhance the specific surface area for adsorption of the bisphenols, but also function as an electron conductor for molecular oxygen activation in nonradical pathways. The hydrochar pyrolyzed at 800 °C (HC-800) showed the superior adsorption and catalytic performances toward BPS and BPF removals in a wide pH range, and the removal efficiencies were hardly inhibited by the coexistent inorganic anions and humic acid. Particularly, the nonradical reaction is the dominated catalytic oxidation process in a H2O2-HC-800 system, different from the traditional radical-based process with persistent free radicals on hydrochars derived from low-temperature pyrolysis. This study provides a novel route toward the efficient removal of endocrine disrupting compounds via the synergistic adsorption and nonradical catalysis.