Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 1.282
Filtrar
1.
J Psychiatr Res ; 147: 254-261, 2022 Jan 19.
Artigo em Inglês | MEDLINE | ID: mdl-35074741

RESUMO

OBJECTIVE: Depression disorder is accompanied by cognitive impairments. However, there is limited research focused on cognitive impairments and their neurological mechanism in adolescents with depression. The purpose of the current study is to illustrate the differences in brain activity patterns between depressed adolescents and healthy controls (HCs). METHOD: A total of 72 adolescents with depression, as well as 74 HCs, were recruited. We utilized functional near-infrared spectroscopy (fNIRS) to monitor the concentrations of oxyhemoglobin (Oxy-Hb) in the brains of participants while they performed the verbal fluency task (VFT) to examine cognitive impairment in adolescents with depression. RESULTS: Our study demonstrated that adolescents with depression had significantly less cortical activation in the hemodynamic responses of Oxy-Hb at channels mainly located in the prefrontal cortex (PFC) than HCs during the 60-s task period (false discovery rate (FDR)-corrected p < 0.05). The mean channel-to-channel connectivity was 0.400 for HCs (SD = 0.149) and 0.303 (SD = 0.138) for adolescents with depression, and the HC group had a higher mean channel-to-channel connectivity strength than the depression group (t = -15.586, p < 0.001). For the patient group, we found significant negative correlations between HAMD scores and mean Oxy-Hb changes in Channel 38 (r = -0.33, p < 0.01), Channel 39 (r = -0.34, p < 0.01), Channel 41 (r = -0.25, p < 0.05), Channel 42 (r = -0.28, p < 0.05), and Channel 44 (r = -0.27, p < 0.05), and these channels were mainly located in areas with little difference between groups. CONCLUSIONS: Our study provides neurological evidence about the executive function (EF) in depressed adolescents. Adolescents with depression exhibited an abnormal activation pattern and decreased task-related functional connectivity compared to HCs. The changed Oxy-Hb concentration of PFC during VFT was not sensitive to depression symptoms.

2.
Artigo em Inglês | MEDLINE | ID: mdl-35076738

RESUMO

Peptidoglycan (PGN) is a unique component in the cytoderm of prokaryotes which can be recognized by different pathogen-associated molecular patterns (PAMPs) in eukaryotes, followed by a cascade of immune responses via different pathways. This review outlined the basic structure of PGN, its immunologic functions. The immunomodulation pathways mediated by PGN were elaborated. PGN induces specific immunity through stimulating different cytokine release and Th1/Th2-dominated immune responses during humoral/cellular immune response. The nonspecific immunity activation by PGN involves immunomodulation by different pattern recognition receptors (PRRs) including PGN recognition proteins (PGRPs), nucleotide oligomerization domain (NOD)-like receptors (NLRs), Toll-like receptors (TLRs), and C-type lectin receptors (CLRs). The sources and classification of PGRPs were summarized. In view of the stimulating activities of PGN and its monomers, the potential application of PGN as vaccine or adjuvant was prospected. This review provides systematic information on PGN functionalities from the point of immunoregulation, which might be useful in the deep exploitation of PGN.Key points. The immunological functions of PGN were illustrated. Cellular and humoral immunomodulation by PGN were outlined. The use of PGN as vaccine or adjuvant was prospected.

3.
Colloids Surf B Biointerfaces ; 212: 112337, 2022 Jan 14.
Artigo em Inglês | MEDLINE | ID: mdl-35051794

RESUMO

The endothelial glycocalyx is a carbohydrate-rich layer overlying the outermost surface of endothelial cells. It mediates intercellular interactions by specific chemical compositions (e.g., proteoglycans containing glycosaminoglycan (GAG) side chains) and micro/nanotopography. Inspired by the endothelial glycocalyx, we fabricated a series of glycocalyx-mimetic surfaces with tunable chemical compositions (GAG-like polymers with different functional units) and topographical structures (micro/nanopatterns with pillars different in size). The combination of micro/nanopatterns and GAG-like polymers was flexibly and precisely controlled by replica molding using silicon templates (Si templates) and visible light-initiated polymerization. Human umbilical vein endothelial cells (HUVECs) and human umbilical vein smooth muscle cells (HUVSMCs) were suppressed on surfaces modified with polymers of 2-methacrylamido glucopyranose (MAG) but promoted on surfaces modified with polymers of sodium 4-vinyl-benzenesulfonate (SS) and copolymers of SS and MAG. Surface micro/nanopatterns showed highly complicated effects on surfaces grafted with different GAG-like polymers. Moreover, the spread of HUVSMCs was highly promoted on all flat/patterned surfaces containing sulfonate units, and the elongation effect was stronger on surfaces with smaller pillars. On all the flat/patterned surfaces modified with GAG-like polymers, the adsorption of human vascular endothelial growth factor (VEGF) and human basic fibroblast growth factor (bFGF) was improved, and the amount of VEGF and bFGF absorbed on patterned surfaces containing sulfonate units decreased with pattern dimensions. The decreasing trend of VEGF and bFGF adsorption was in accordance with HUVEC density, suggesting that glycocalyx-mimetic surfaces influence the adsorption of VEGF and bFGF and further influence the growth behavior of vascular cells.

4.
Bioengineered ; 13(2): 2567-2584, 2022 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-35015607

RESUMO

As the fourth commonest malignancy among females worldwide, cervical cancer (CC) poses a huge challenge to human health. The pivotal regulatory roles of lncRNAs in cancers have been highlighted. LOXL1 antisense RNA 1 (LOXL1-AS1) has been reported to play a key role in cervical squamous cell carcinoma and other various cancers. Thus, we investigated the roles and mechanisms of lncRNA LOXL1-AS1 in CC. The in vivo experiments demonstrated that LOXL1-AS1 downregulation inhibited tumor growth and metastasis and proliferation of CC cells. The results of RT-qPCR demonstrated that LOXL1-AS1 and ectodermal-neural cortex 1 (ENC1) expression levels were upregulated in CC cells and tissues, while microRNA-423-5p (miR-423-5p) level was downregulated. As subcellular fractionation assays, RNA pull down assays and luciferase reporter assays revealed, LOXL1-AS1 bound to miR-423-5p and miR-423-5p targeted ENC1. 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays, wound healing and colony formation assays demonstrated that miR-423-5p upregulation and LOXL1-AS1 downregulation inhibited CC cell proliferation and migration, while ENC1 upregulation attenuated the inhibitory effects of miR-423-5p upregulation on the malignant phenotypes of CC cells. Western blotting was conducted to measure protein levels and the results showed that ENC1 knockdown inhibited the activation of ERK/MEK pathway. In summary, the LOXL1-AS1/miR-423-5p/ENC1 axis accelerates CC development through the MEK/ERK pathway.

5.
Gastroenterol Res Pract ; 2022: 7874751, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35035476

RESUMO

Gastrointestinal bleeding (GIB) indicates an issue in the digestive system. Blood can be found in feces or vomiting; however, it is not always visible, even if it makes the stool appear darkish or muddy. The bleeding can range in harshness from light to severe and can be dangerous. It is advised that nursing value analysis and risk assessment of patients with GIB is essential, but existing risk assessment techniques function inconsistently. Machine learning (ML) has the potential to increase risk evaluation. For evaluating risk in patients with GIB, scoring techniques are ineffective; a machine learning method would help. As a result, we present а unique machine learning-based nursing value analysis and risk assessment framework in this research to construct a model to evaluate the risk of hospital-based interventions or mortality in individuals with GIB and make a comparison to that of other rating systems. Initially, the dataset is collected, and preprocessing is done. Feature extraction is done using local binary patterns (LBP). Classification is performed using a fuzzy support vector machine (FSVM) classifier. For risk assessment and nursing value analysis, machine learning-based prediction using a multiagent reinforcement algorithm is employed. For improving the performance of the proposed system, we use spider monkey optimization (SMO) algorithm. The performance metrics like classification accuracy, area under the receiver-operating characteristic curve (AUROC), area under the curve (AUC), sensitivity, specificity, and precision are analyzed and compared with the traditional approaches. In individuals with GIB, the suggested technique had a good-excellent prognostic efficacy, and it outperformed other traditional models.

6.
Int Ophthalmol ; 2022 Jan 04.
Artigo em Inglês | MEDLINE | ID: mdl-34984627

RESUMO

PURPOSE: To evaluate the effectiveness and safety of the dexamethasone intravitreal implant (DEX-I) in Non-Infectious Uveitis (NIU) in Chinese patients. METHODS: Ninety-one eyes of 77 patients (56 men, 21 women) receiving 130 implant injections for NIU were included. Treatment indication, uveitis diagnosis, best-corrected visual acuity (BCVA), central retinal thickness (CRT), vitreous haze score, intraocular pressure, phakic status, number of injections, time to reinjection, and systemic treatments were collected at baseline, 1 week, 1 month, 3 and 6 months after treatment. RESULTS: All patients were followed for at least 12 weeks and had a mean follow-up period of 5.1 months (range, 3-14 months) after the first implant. The main treatment indications were macular edema (ME), retinal vasculitis, retinal vasculitis with ME. Sixty-one eyes (67.03%) received only one injection, while 31 eyes (32.97%) received two or more. In eyes that received 2 injections, the mean time to the second injection was 3.83 months and in those that received 3 injections, the mean time to the third injection was 7.5 months. BCVA and CRT significantly improved at 1 week, 1 month, 3 months, and 6 months after treatment. When compared to baseline, the mean prednisone (or equivalent) dosage significantly decreased at 3- and 6-month follow-up evaluations after DEX implantation.14.29% of eyes developed a transient increase in intraocular pressure, and a cataract was removed from 1 phakic eye. CONCLUSIONS: DEX implants, either alone or in combination with common adjunctive NIU treatments, is safe and effective in the treatment of NIU in Chinese patients.

7.
Exp Hematol ; 2022 Jan 14.
Artigo em Inglês | MEDLINE | ID: mdl-35038545

RESUMO

BACKGROUND: This study sought to clarify the role of hnRNPK as a regulator of imatinib resistance in Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph+ ALL). METHODS: The expression of hnRNPK was assessed in Ph+ ALL leukemia cells in vitro and in vivo, while imatinib susceptibility was assessed via CCK-8 assay. In cells in which hnRNPK levels had or had not been modulated, LC3Ⅰ/Ⅱ and mTOR/p-ERK/Beclin1levels were assessed via western blotting, while electron microscopy was used to evaluate autophagic vacuole formation. Interactions between hnRNPK and Beclin1 were assessed through an RNA binding protein immunoprecipitation assay. RESULTS: Imatinib-resistant Ph+ ALL cell lines and patient bone marrow samples exhibited significant hnRNPK overexpression. The knockdown of hnRNPK increased the imatinib sensitivity of these tumor cells and decreased in vivo tumor burden in a xenograft model system as evidenced by a reduction in tumor volume. Levels of LC3Ⅰ/Ⅱand Beclin1, but not p-ERK and mTOR, were consistent with the regulatory activity of hnRNPK.Electronmicroscopy revealed that imatinib-resistant cells harbored significantly more autophagic vacuoles relative to wild-type cells, while hnRNPK knockdown reduced the number of these vacuoles. In an RNA binding protein immunoprecipitation assay, anti-hnRNPK was able to precipitate the Beclin1 mRNA. CONCLUSIONS: These results suggest that the hnRNPK/Beclin1 signaling pathway may play a role in shaping imatinib resistance in Ph+ ALL cells.

8.
Environ Toxicol Chem ; 2022 Jan 18.
Artigo em Inglês | MEDLINE | ID: mdl-35040517

RESUMO

Cadmium (Cd) and lead (Pb) are ubiquitous in aquatic environments and most studies examined the potential effects of Cd or Pb alone on aquatic organisms. Here, chronic effects of Cd and Pb, alone and in combination, on Bufo gargarizans were investigated by exposing embryos to these contaminants throughout metamorphosis. Significant reductions in body mass and SVL were observed in B. gargarizans at Gs42 and Gs46 exposed to Cd/Pb mixture. Single and combined exposure with Cd and Pb induced histological alterations of thyroid gland characterized by reduced colloid area and epithelial cells thickness. There was a significant decrease in the maximum jump distance of froglets exposed to Cd alone and Cd/Pb mixture, and the jumping capacity showed a positive correlation with hind limb length and tibia/fibula. Moreover, single metal and their mixture induced reduction of endochondral bone formation in B. gargarizans. Transcriptomic and RT-qPCR results showed that genes involved in skeletal ossification (TRα, TRß, Dio2, Dio3, MMP9, MMP13, Runx1, Runx2, and Runx3) were transcriptionally dysregulated by Cd and Pb exposure alone or in combination. Our results suggested despite the low concentration tested, Cd/Pb mixture induced more severe impacts on B. gargarizans, and Cd/Pb mixture might reduce chances of survival for B. gargarizans froglets by decreasing size at metamorphosis, impaired skeletal ossification, and reduction in jumping ability which might result from dysregulation of genes involved in thyroid hormone action and endochondral ossification. The findings obtained could add a new dimension to understanding of the mechanisms underpinning skeletal ossification response to heavy metals in amphibians. This article is protected by copyright. All rights reserved. © 2022 SETAC.

9.
Ann Hepatol ; : 100672, 2022 Jan 19.
Artigo em Inglês | MEDLINE | ID: mdl-35065261

RESUMO

INTRODUCTION: Among all immune cells, natural killer (NK) cells play an important role as the first line of defense against tumor. The purpose of our study is to observe whether the NK cell counts can predict the overall survival of patients with hepatocellular carcinoma (HCC). METHODS: To develop a novel model, from January 2010 to June 2015, HCC patients enrolled in hospital were divided into training and validation cohort. Cox multiple regression analysis was used to analyze the independent risk factors for 1-year, 3-year and 5-year overall survival (OS) of patients with HCC, and the nomogram was used to establish the prediction model. In addition, the decision tree was established to verify the contribution of NK cell counts to the survival of patients with HCC. RESULTS: The model used in predicting overall survival of HCC included six variables (namely, NK cell counts, albumin (ALB) level, alpha-fetoprotein (AFP) level, portal vein tumor thrombus (PVTT), tumor number and treatment). The C-index of nomogram model in HCC patients predicting 1-year, 3-year and 5-year overall survival was 0.858, 0.788 and 0.782 respectively, which was higher than tumor-lymph node-metastasis (TNM) staging system, Okuda, model for end-stage liver disease (MELD), MELD-Na, the Chinese University Prognostic Index (CUPI) and Japan Integrated Staging (JIS) scores (p < 0.001). The decision tree showed the specific 5-year OS probability of HCC patients under different risk factors, and found that NK cell counts were the third in the column contribution. CONCLUSIONS: Our study emphasizes the utility of NK cell counts for exploring interactions between long-term survival of HCC patients and predictor variables.

10.
Cardiovasc Diabetol ; 21(1): 11, 2022 Jan 19.
Artigo em Inglês | MEDLINE | ID: mdl-35045846

RESUMO

BACKGROUND: It has been demonstrated that glycated albumin (GA) is significantly associated with diabetes complications and mortality. However, among patients diagnosed with non-ST-elevation acute coronary syndrome (NSTE-ACS) administered percutaneous coronary intervention (PCI), the predictive value of GA for poor prognosis is unclear. METHODS: This study eventually included 2247 NSTE-ACS patients in Beijing Anzhen Hospital, Capital Medical University in January-December 2015 who received PCI. All patients were followed up until death or for 48 months post-discharge. The primary endpoint was major adverse cardio-cerebral events (MACCEs), including all-cause death, non-fatal myocardial infarction, ischemia-induced revascularization and non-fatal ischemic stroke. RESULTS: In total, 547 (24.3%) MACCEs were recorded during the follow-up period. Upon adjusting for potential confounders, GA remained an important risk predictor of MACCEs (As nominal variate: hazard ratio [HR] 1.527, 95% confidence interval [CI] 1.236-1.886, P < 0.001; As continuous variate: HR 1.053, 95% CI 1.027-1.079, P < 0.001). GA addition significantly enhanced the predictive ability of the traditional risk model (Harrell's C-index, GA vs. Baseline model, 0.694 vs. 0.684, comparison P = 0.002; continuous net reclassification improvement (continuous-NRI) 0.085, P = 0.053; integrated discrimination improvement (IDI) 0.007, P = 0.020). CONCLUSION: GA is highly correlated with poor prognosis in NSTE-ACS patients undergoing PCI, suggesting that it may be a major predictive factor of adverse events among these individuals.

11.
Fish Shellfish Immunol ; 120: 590-598, 2022 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-34965442

RESUMO

The class A scavenger receptors play important roles in innate immunity and are distributed on plasma membrane of macrophages and other cell types. Notably, the class A scavenger receptor 4 (SCARA4) contains a typical C-type (calcium-dependent) lectin domain, which belongs to the collectin family of pattern recognition receptors and is involved in the immune response against infection. Here, one turbot SCARA4 gene was identified with a 2,292 bp open reading frame (ORF) encoding 763 amino acid residues. Multiple sequence analysis and phylogenetic analysis confirmed that SmSCARA4 gene was more close to that of P. olivaceus. Gene structure and syntenic analysis showed conserved exon/intron organization pattern and syntenic pattern across selected vertebrate species. Tissue distribution analysis showed SmSCARA4 was expressed in all the tested healthy tissues with the relative high expression levels in skin, gill and spleen. Following both E. tarda and V. anguillarum challenge in vivo, SmSCARA4 was significantly repressed in gill and intestine. Remarkably, SmSCARA4 showed the strongest binding ability to LPS and strongest upregulation in turbot head kidney macrophages in response to LPS. Knockdown and overexpression of SmSCARA4 revealed its interactions with the two pro-inflammatory cytokines, TNF-α and IL-1ß. Finally, repression of SmSCARA4 via combined treatment of LPS and overexpression of SmSCARA4 construct in turbot head kidney macrophages further indicated an inhibitory role of SmSCARA4 in LPS-stimulated inflammation. Taken together, turbot SmSCARA4 plays an important role in turbot immunity, especially in the mucosa-related systems; SmSCARA4 possesses strong binding specificity to LPS, and exerts protective roles in response to LPS infection by reducing the release of pro-inflammatory cytokines. The mechanisms of inhibitory role of SmSCARA4 in LPS-elicited inflammation await further investigation.

12.
Gene ; 809: 146032, 2022 Jan 30.
Artigo em Inglês | MEDLINE | ID: mdl-34673208

RESUMO

Gap junction (GJ), a special intercellular junction between different cell types, directly connects the cytoplasm of adjacent cells, allows various molecules, ions and electrical impulses to pass through the intercellular regulatory gate, and plays vital roles in response to bacterial infection. Up to date, the information about the GJ in turbot (Scophthalmus maximus L.) is still limited. In current study, 43 gap junction genes were identified in turbot, phylogeny analysis suggested that gap junctions from turbot and other species were clustered into six groups, GJA, GJB, GJC, GJD, GJE and PANX, and turbot GJs together with respective GJs from Japanese flounder, half-smooth tongue sole and large yellow croaker, sharing same ancestors. In addition, these 43 GJ genes distributed in different chromosomes unevenly. According to gene structure and domain analysis, these genes (in GJA-GJE group) were highly conserved in that most of them contain the transmembrane area, connexin domain (CNX) and cysteine-rich domain (connexin CCC), while PANXs contain Pfam Innexin. Although only one tandem duplication was identified in turbot gap junction gene, 235 pairs of segmental duplications were identified in the turbot genome. To further investigate their evolutionary relationships, Ka/Ks was calculated, and results showed that most ratios were lower than 1, indicating they had undergone negative selection. Finally, expression analysis showed that gap junction genes were widely distributed in turbot tissues and significantly regulated after Vibrio anguillarum infection. Taken together, our research could provide valuable information for further exploration of the function of gap junction genes in teleost.


Assuntos
Conexinas/genética , Doenças dos Peixes/genética , Proteínas de Peixes/genética , Linguados/genética , Vibrioses/veterinária , Animais , Mapeamento Cromossômico , Evolução Molecular , Doenças dos Peixes/imunologia , Proteínas de Peixes/imunologia , Linguados/imunologia , Linguados/microbiologia , Duplicação Gênica , Regulação da Expressão Gênica , Estudo de Associação Genômica Ampla , Interações Hospedeiro-Patógeno/genética , Interações Hospedeiro-Patógeno/imunologia , Filogenia , Vibrio/patogenicidade , Vibrioses/imunologia
13.
Comput Biol Med ; 140: 105090, 2021 Dec 01.
Artigo em Inglês | MEDLINE | ID: mdl-34875406

RESUMO

Alzheimer's disease (AD) is a gradually progressive neurodegenerative disease affecting cognition functions. Predicting the cognitive scores from neuroimage measures and identifying relevant imaging biomarkers are important research topics in the study of AD. Despite machine learning algorithms having many successful applications, the prediction model suffers from the so-called curse of dimensionality. Multi-task feature learning (MTFL) has helped tackle this problem incorporating the correlations among multiple clinical cognitive scores. However, MTFL neglects the inherent correlation among brain imaging measures. In order to better predict the cognitive scores and identify stable biomarkers, we first propose a generalized multi-task formulation framework that incorporates the task and feature correlation structures simultaneously. Second, we present a novel feature-aware sparsity-inducing norm (FAS-norm) penalty to incorporate a useful correlation between brain regions by exploiting correlations among features. Three multi-task learning models that incorporate the FAS-norm penalty are proposed following our framework. Finally, the algorithm based on the alternating direction method of multipliers (ADMM) is developed to optimize the non-smooth problems. We comprehensively evaluate the proposed models on the cross-sectional and longitudinal Alzheimer's disease neuroimaging initiative datasets. The inputs are the thickness measures and the volume measures of the cortical regions of interest. Compared with MTFL, our methods achieve an average decrease of 4.28% in overall error in the cross-sectional analysis and an average decrease of 7.97% in the Alzheimer's Disease Assessment Scale cognitive total score longitudinal analysis. Moreover, our methods identify sensitive and stable biomarkers to physicians, such as the hippocampus, lateral ventricle, and corpus callosum.

14.
Mikrochim Acta ; 189(1): 20, 2021 Dec 08.
Artigo em Inglês | MEDLINE | ID: mdl-34878598

RESUMO

Integrating other metal ions into mono-metallic metal-organic framework (MOF) to form bi-metallic MOF is an effective strategy to enhance the performance of MOFs from the internal structure. In this study, two-dimensional (2D) cobalt/zinc-porphyrin (Co/Zn-TCPP) MOF nanomaterials with different Co/Zn molar ratios were synthesised using a simple surfactant-assisted method, and novel dopamine (DA) sensing methods were constructed based on these materials. The characterisation results showed that all MOF with different Co/Zn molar ratios presented a nanofilm, and the Co and Zn elements were uniformly distributed. All sensors based on CoxZn100-x-TCPP had a certain catalytic performance to DA. Among them, the sensor based on CO25Zn75-TCPP showed the strongest signal response, indicating that the catalytic performance of MOF on DA can be adjusted by changing the Co/Zn molar ratio. The doping of metal ions improves the chemical environment of the pores, and increases the types and spatial arrangement of the active sites of the MOF, which is beneficial to the electron transfer and exchange with DA; Co2+ and Zn2+ active centres have a synergistic promotion effect, so the catalytic activity of MOF is significantly improved. The linear range at the potential of 0.1 V based on Co25Zn75-TCPP for DA was 5 nM-177.8 µM, with a detection limit of 1.67 nM (S/N = 3). The sensor exhibited a good selectivity for detecting DA. This research is expected to provide new ideas and references for constructing high-performance sensing interfaces and platforms.

15.
Artigo em Inglês | MEDLINE | ID: mdl-34870727

RESUMO

PURPOSE: Heterogeneity is found in the tumor microenvironment among different pathological types of tumors. Radionuclide-labeled fibroblast-activation-protein inhibitor (FAPI), as an important tracer for non-invasive imaging of the tumor microenvironment, can be used to evaluate the expression of FAP in cancer-associated fibroblasts, macrophages, and tumor cells. Our aim was to explore the ability of [18F]AlF-NOTA-FAPI-04 positron emission tomography (PET)/computed tomography (CT) to distinguish different types of lung cancer by evaluating the uptake of this tracer in primary and metastatic lesions. METHODS: We prospectively enrolled 61 patients with histopathologically proven primary lung cancer with metastases. PET/CT scanning was performed before any antitumor therapy and 1 h after injection of 235.10 ± 3.89 MBq of [18F]AlF-NOTA-FAPI-04. Maximum standard uptake values (SUVmax) were calculated for comparison among primary and metastatic lesions. Immunohistochemical staining for FAP was performed on tumor specimens. RESULTS: Sixty-one patients with adenocarcinoma (ADC, n = 30), squamous cell carcinoma (SCC, n = 17), and small cell lung cancer (SCLC, n = 14) were enrolled in this study, and 61 primary tumors and 199 metastases were evaluated. No difference in [18F]AlF-NOTA-FAPI-04 uptake was observed among primary ADC, SCC, and SCLC tumors (P = 0.198). Additionally, no difference in uptake was found between primary and metastatic lesions of lung cancer with the same pathological type (P > 0.05). However, uptake did differ among metastases of differing pathological types (P < 0.001). The SUVmax of metastatic lymph nodes was highest for SCC, followed by ADC and then SCLC (P < 0.001). The SUVmax of bone metastases also was highest for SCC, followed by ADC and SCLC (P < 0.05), but no difference was observed between ADC and SCLC. The SUVmax of metastases in other organs was higher in SCC cases than in ADC cases but did not differ between SCC and SCLC or ADC and SCLC. Bone metastases exhibited higher uptake than those of lymph nodes and other organs in SCC and ADC (P < 0.05) but not in SCLC. Positive correlations were found between FAPI uptake and FAP expression in surgical plus biopsy specimens (r = 0.439, P = 0.012) and surgical specimens (r = 0.938, P = 0.005). CONCLUSION: [18F]AlF-NOTA-FAPI-04 PET/CT imaging revealed differences in FAP expression in metastases of lung cancer, with the highest expression specifically in bone metastases, and thus, may be valuable for distinguishing different pathological types of lung cancer.

16.
Artigo em Inglês | MEDLINE | ID: mdl-34889489

RESUMO

AIM: Intrauterine device (IUD) is a commonly used contraceptive method worldwide. Abnormal uterine bleeding (AUB) is one of the most common side effects of Cu-IUDs. Since AUB varies among Cu-IUD users, changes in the bleeding-related genetic factors may contribute to AUB. This study aimed to determine the genetic risk factors of AUB after Cu-IUD insertion. METHODS: We conducted a case-control study on women who experienced AUB after Cu-IUD insertion (case:control = 62:59). Six candidate variants were genotyped using the Sequenom MassARRAY. Genotype and allele frequencies were analyzed using SHEsisPlus. We performed Pearson's Chi-squared test to analyze categorical data, and ESEfinder to predict the impact on splicing regulation. RESULTS: MCM8 coding sequence variants: rs3761873-A>C was in Exon 7 and rs16991617 A>G was in Exon 12 of all 19 exons, both of which were significantly different between cases and controls (pallele  = 0.039 and pgenotype  = 0.092). rs6022 and rs6029 in F5 gene and rs3761873 and rs16991617 in the MCM8 gene showed strong linkage disequilibrium (R2 > 0.8). ESEfinder indicated that the variants of MCM8 may affect the splicing regulation. CONCLUSIONS: MCM8 rs376187 and rs16991617 were associated with AUB in Cu-IUDs users. MCM8 may play a role in AUB by regulating functions of reproductive organs and primary ovarian insufficiency. Our findings may improve the understanding of the genetic basis of AUB caused by Cu-IUDs.

17.
Zhongguo Shi Yan Xue Ye Xue Za Zhi ; 29(6): 1752-1756, 2021 Dec.
Artigo em Chinês | MEDLINE | ID: mdl-34893105

RESUMO

OBJECTIVE: To observe the curative efficacy of tyrosine kinase inhibitors (TKIs) in the treatment of e19a2 transcript (P230) CML chronic phase (CML-CP) patients. METHODS: The clinical data of 11 P230 CML-CP patients were collected from July 2008 to December 2019. Blood routine examination, bone marrow cytology, chromosome, and BCR-ABL qualitative and quantitative tests were performed at initial diagnosis. After TKIs treatment, BCR-ABL (P230)/ABL in peripheral blood was regularly detected to evaluate molecular response by real-time quantitative PCR. RESULTS: There were 11 patients (7 males and 4 females) in chronic phase from 6 domestic hospitals enrolled, their median age was 46 years old (range from 19 to 56 years old). Among 4 patients treated with imatinib (400 mg, qd) firstly, 3 cases switched to nilotinib (400 mg, bid) and 1 case switched to dasatinib (100 mg, qd) due to failure to achieve best molecular response at the landmark time or mutation of ABL kinase. Then major molecular response (MMR) was obtained within 1 year. In addition, 5 patients were treated with nilotinib (300 mg, bid) and 2 patients with dasatinib (100 mg, qd) as first-line treatment, all of them got MMR within 6 months. CONCLUSION: For intolerance or resistance to imatinib, second-generation TKIs can enable P230 CML patients to achieve deeper molecular response, and MMR in a short time.

18.
Front Genet ; 12: 779186, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34899863

RESUMO

Diabetes mellitus is a group of complex metabolic disorders which has affected hundreds of millions of patients world-widely. The underlying pathogenesis of various types of diabetes is still unclear, which hinders the way of developing more efficient therapies. Although many genes have been found associated with diabetes mellitus, more novel genes are still needed to be discovered towards a complete picture of the underlying mechanism. With the development of complex molecular networks, network-based disease-gene prediction methods have been widely proposed. However, most existing methods are based on the hypothesis of guilt-by-association and often handcraft node features based on local topological structures. Advances in graph embedding techniques have enabled automatically global feature extraction from molecular networks. Inspired by the successful applications of cutting-edge graph embedding methods on complex diseases, we proposed a computational framework to investigate novel genes associated with diabetes mellitus. There are three main steps in the framework: network feature extraction based on graph embedding methods; feature denoising and regeneration using stacked autoencoder; and disease-gene prediction based on machine learning classifiers. We compared the performance by using different graph embedding methods and machine learning classifiers and designed the best workflow for predicting genes associated with diabetes mellitus. Functional enrichment analysis based on Human Phenotype Ontology (HPO), KEGG, and GO biological process and publication search further evaluated the predicted novel genes.

19.
Bioresour Technol ; 345: 126562, 2021 Dec 12.
Artigo em Inglês | MEDLINE | ID: mdl-34910968

RESUMO

The extracellular electron transfer (EET) efficiency between electroactive microbes (EAMs) and electrode is a key factor determining the development of microbial electrochemical technology (MET). Currently, the low EET efficiency of EAMs limits the application of MET in the fields of organic matter degradation, electric energy production, seawater desalination, bioremediation and biosensing. Enhancement of the interaction between EAMs and electrode by interfacial engineering methods brings bright prospects for the improvement of the EET efficiency of EAMs. In view of the research in recent years, this mini-review systematically summarizes various interfacial engineering strategies ranging from electrode surface modification to hybrid biofilm formation, then to single cell interfacial engineering and intracellular reformation for promoting the electron transfer between EAMs and electrode, focusing on the applicability and limitations of these methodologies. Finally, the possible key directions, challenges and opportunities for future interfacial engineering to strengthen the microbial EET are proposed in this mini-review.

20.
Ann Noninvasive Electrocardiol ; : e12929, 2021 Dec 29.
Artigo em Inglês | MEDLINE | ID: mdl-34964535

RESUMO

OBJECTIVE: To investigate a new risk score for acute chest pain with suspected non-ST-segment elevation acute coronary syndrome (NSTE-ACS). METHODS: Patients who suffered from Chest pain and suspected NSTE-ACS were enrolled as subjects. Predictor variables had been analyzed, and a bootstrap technique was used to evaluate the internal validity of the model, and external validation had been assessed for a prospective cohort study. RESULTS: Thousand five hundred and sixty-eight patients had been included in this study. Six predictor variables were found to be significant and were used to develop the model. The C-statistic of the model was 0.83, and internal validation revealed the stability of the model and the absence of over-optimism. Patients were given different triage recommendations, and the risk score was prospectively validated. CONCLUSIONS: A risk score may be a suitable method for assessing the risk of major adverse cardiac events and aiding patient triage in emergency departments among patients with suspected NSTE-ACS.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...