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Aim: The aims of this study were to examine the effectiveness of a targeted nursing research support program for clinical nurses., Background: Nursing research capacity is increasingly essential to clinical nurses and currently relatively low. Therefore, effective and systematic nursing research training programs are urgently needed to improve the scientific research abilities of nurses., Methods: Qualitative research was conducted to investigate the effectiveness of a targeted nursing research support program. The program was formulated by considering the research training requirements of nurses and standard nursing research procedures, through literature review and group deliberations. The program was implemented for 973 nurses using a "plan-action-observation-reflection" learning cycle. The research outcomes achieved by nurses were evaluated and thematic analysis conducted to assess the perspectives of nurses and teachers regarding the research support program., Results: Nurses participating in the targeted nursing research support program collectively accomplished 195 research proposals and authored 332 original research articles. Nurses shared their rich experience as "understanding my needs and achieving my potential", including: (1) systematic procedures and coherence; (2) easy to learn, easy to use; (3) a sense of belonging and mutual support; (4) self-confidence growth; and (5) high expectations. Further, the experiences of teachers were summarized as "helping others is helping myself", including: (1) teaching is learning; (2) the happiness of being needed; and (3) the importance of scientific teaching., Conclusion: This study evaluated the experiences of nurses and educators involved in a targeted nursing research support program and assessed its preliminary effectiveness. The findings revealed that the program, grounded in scientific and systematic research principles, was beneficial to both nurses and teachers. Based on our findings, we recommend that nursing educators should prioritize comprehensive, practice-integrated research training programs and create supportive environments, to effectively enhance the research capacity of nurses., Competing Interests: Declaration of Competing Interest No conflict of interest has been declared by the authors., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Purpose: To evaluate the ability of computer-aided diagnosis (CAD) system (S-Detect) to identify malignancy in ultrasound (US) -detected BI-RADS 3 breast lesions., Materials and Methods: 148 patients with 148 breast lesions categorized as BI-RADS 3 were included in the study between January 2021 and September 2022. The malignancy rate, accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) were calculated., Results: In this study, 143 breast lesions were found to be benign, and 5 breast lesions were malignant (malignancy rate, 3.4 %, 95 % confidence interval (CI): 0.5-6.3). The malignancy rate rose significantly to 18.2 % (4/22, 95 % CI: 2.1-34.3) in the high-risk group with a "possibly malignant" CAD result (p = 0.017). With a "possibly benign" CAD result, the malignancy rate decreased to 0.8 % (1/126, 95 % CI: 0-2.2) in the low-risk group (p = 0.297). The AUC, sensitivity, specificity, accuracy, PPV, and NPV of the CAD system in BI-RADS 3 breast lesions were 0.837 (95 % CI: 77.7-89.6), 80.0 % (95 % CI: 73.6-86.4), 87.4 % (95 % CI: 82.0-92.7), 87.2 % (95 % CI: 81.8-92.6), 18.2 % (95 % CI: 2.1-34.3) and 99.2 % (95 % CI: 97.8-100.0), respectively., Conclusions: CAD system (S-Detect) enables radiologists to distinguish a high-risk group and a low-risk group among US-detected BI-RADS 3 breast lesions, so that patients in the low-risk group can receive follow-up without anxiety, while those in the high-risk group with a significantly increased malignancy rate should actively receive biopsy to avoid delayed diagnosis of breast cancer., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Objectives: Ultrasound tends to present very high sensitivity but relatively low specificity and positive predictive value (PPV), which would result in unnecessary breast biopsies. The purpose of this study is to analyze the diagnostic performance of computer-aided diagnosis (CAD) (S-Detect) system in differentiating breast lesions and reducing unnecessary biopsies in non-university hospitals in less-developed regions of China., Methods: The study was a prospective multicenter study from 8 hospitals. The ultrasound images, and cine, CAD analysis, and BI-RADS were recorded. The accuracy, sensitivity, specificity, PPV, negative predictive value (NPV), and area under the curve (AUC) were analyzed and compared between CAD and radiologists. The Youden Index (YI) was used to determine optimal cut-off for the number of planes to downgrade., Results: A total of 491 breast lesions were included in the study. Less-experienced radiologists combined CAD was superior to less-experienced radiologists alone in AUC (0.878 vs 0.712, p < 0.001), and specificity (81.3% vs 44.6%, p < 0.001). There was no statistical difference in AUC (0.891 vs 0.878, p = 0.346), and specificity (82.3% vs 81.3%, p = 0.791) between experienced radiologists and less-experienced radiologists combined CAD. With CAD assistance, the biopsy rate of less-experienced radiologists was significantly decreased (100.0% vs 25.6%, p < 0.001), and malignant rate of biopsy was significantly increased (15.0% vs 43.9%, p < 0.001)., Conclusions: CAD system can be an effective auxiliary tool in differentiating breast lesions and reducing unnecessary biopsies for radiologists from non-university hospitals in less-developed regions of China., (© 2023. The Author(s) under exclusive licence to Société Internationale de Chirurgie.)

BACKGROUND. Computer-aided diagnosis (CAD) systems for breast ultrasound interpretation have been primarily evaluated at tertiary and/or urban medical centers by radiologists with breast ultrasound expertise. OBJECTIVE. The purpose of this study was to evaluate the usefulness of deep learning-based CAD software on the diagnostic performance of radiologists without breast ultrasound expertise at secondary or rural hospitals in the differentiation of benign and malignant breast lesions measuring up to 2.0 cm on ultrasound. METHODS. This prospective study included patients scheduled to undergo biopsy or surgical resection at any of eight participating secondary or rural hospitals in China of a breast lesion classified as BI-RADS category 3-5 on prior breast ultrasound from November 2021 to September 2022. Patients underwent an additional investigational breast ultrasound, performed and interpreted by a radiologist without breast ultrasound expertise (hybrid body/breast radiologists, either who lacked breast imaging subspecialty training or for whom the number of breast ultrasounds performed annually accounted for less than 10% of all ultrasounds performed annually by the radiologist), who assigned a BI-RADS category. CAD results were used to upgrade reader-assigned BI-RADS category 3 lesions to category 4A and to downgrade reader-assigned BI-RADS category 4A lesions to category 3. Histologic results of biopsy or resection served as the reference standard. RESULTS. The study included 313 patients (mean age, 47.0 ± 14.0 years) with 313 breast lesions (102 malignant, 211 benign). Of BI-RADS category 3 lesions, 6.0% (6/100) were upgraded by CAD to category 4A, of which 16.7% (1/6) were malignant. Of category 4A lesions, 79.1% (87/110) were downgraded by CAD to category 3, of which 4.6% (4/87) were malignant. Diagnostic performance was significantly better after application of CAD, in comparison with before application of CAD, in terms of accuracy (86.6% vs 62.6%, p < .001), specificity (82.9% vs 46.0%, p < .001), and PPV (72.7% vs 46.5%, p < .001) but not significantly different in terms of sensitivity (94.1% vs 97.1%, p = .38) or NPV (96.7% vs 97.0%, p > .99). CONCLUSION. CAD significantly improved radiologists' diagnostic performance, showing particular potential to reduce the frequency of benign breast biopsies. CLINICAL IMPACT. The findings indicate the ability of CAD to improve patient care in settings with incomplete access to breast imaging expertise.

Intervertebral disc (IVD) degeneration (IDD) is a multifactorial pathological process associated with low back pain (LBP). The pathogenesis is complicated, and the main pathological changes are IVD cell apoptosis and extracellular matrix (ECM) degradation. Apoptotic cell loss leads to ECM degradation, which plays an essential role in IDD pathogenesis. Apoptosis regulation may be a potential attractive therapeutic strategy for IDD. Previous studies have shown that IVD cell apoptosis is mainly induced by the death receptor pathway, mitochondrial pathway, and endoplasmic reticulum stress (ERS) pathway. This article mainly summarizes the factors that induce IDD and apoptosis, the relationship between the three apoptotic pathways and IDD, and potential therapeutic strategies. Preliminary animal and cell experiments show that targeting apoptotic pathway genes or drug inhibition can effectively inhibit IVD cell apoptosis and slow IDD progression. Targeted apoptotic pathway inhibition may be an effective strategy to alleviate IDD at the gene level. This manuscript provides new insights and ideas for IDD therapy., Competing Interests: Competing Interests: The authors have declared that no competing interest exists., (© The author(s).)

Enzymes are an important class of biomacromolecules which catalyze many metabolic processes in living systems. Nanomaterials can be synthesized with tailored sizes as well as desired surface modifications, thus acting as promising enzyme regulators. Fluorescent gold nanoclusters (AuNCs) are a representative class of ultrasmall nanoparticles (USNPs) with sizes of ∼2 nm, smaller than most of proteins including enzymes. In this work, we chose α-chymotrypsin (ChT) and AuNCs as the model system. Activity assays and inhibition kinetics studies showed that dihydrolipoic acid (DHLA)-coated AuNCs (DHLA-AuNCs) had a high inhibitory potency ( IC 50 = 3.4 μM) and high inhibitory efficacy (>80%) on ChT activity through noncompetitive inhibition mechanism. In distinct contrast, glutathione (GSH)-coated AuNCs (GSH-AuNCs) had no significant inhibition effects. Fluorescence spectroscopy, agarose gel electrophoresis and circular dichroism (CD) spectroscopy were conducted to explore the underlying mechanisms. A two-step interaction model was proposed. First, both DHLA-AuNCs and GSH-AuNCs might be bound to the positively charged sites of ChT through electrostatic forces. Second, further hydrophobic interactions occurred between three tyrosine residues of ChT and the hydrophobic carbon chain of DHLA, leading to a significant structural change thus to deactivate ChT on the allosteric site. On the contrary, no such interactions occurred with GSH of zwitterionic characteristic, which explained no inhibitory effect of GSH-AuNCs on ChT. To the best of our knowledge, this is the first example of the allosteric inhibition of ChT by nano regulators. These findings provide a fundamental basis for the design and development of nano regulators.

Glioma is the most common type of brain tumor. Malignant gliomas tend to have an increasingly higher incidence and are difficult to treat. Therefore, an accurate diagnosis of the grade of glioma before surgery is very important for planning surgery and determining prognosis. To compare the values of 18 F-deoxyglucose positron emission tomography/computer tomography ( 18 F-FDG PET-CT) and magnetic resonance imaging (MRI) for identifying and grading gliomas, we selected 70 patients who were diagnosed as having a primary glioma or suspected glioma at the People’s Hospital of Liaocheng in Shandong, China, and divided them into an observation group, which was examined by 18 F-FDG PET-CT and a control group, which was examined by MRI. Image analysis, visual semi-quantitative analysis and qualitative analysis, follow-up and pathological results of the two groups were compared. Specificity, accuracy and sensitivity of brain MRI and PET-CT in grading the gliomas were calculated, and the results obtained were processed by Chi-squared test. Standard uptake value (SUV), SUV correct and L/WM (SUV max ratio of a lesion to normal white matters in the opposite side) of FDG in the different grades of glioma were analyzed by single-factor variance analysis. Postoperative pathological detection confirmed 47 cases of glioma; the sensitivity, specificity and accuracy of PET-CT in grading glioma were all higher than those of MRI (P less than 0.05); the correlation between SUV and glioma grade, between SUV correct and glioma grade, and between L/WM and glioma had significant difference (P less than 0.05). Thus, it was concluded that 18 F-FDG PET-CT performs better in diagnosing gliomas than MRI and is also more suitable for identifying different grades of glioma.

Microglial activation plays a pivotal role in the pathogenesis of neurodegenerative disease by producing excessive proinflammatory cytokines and nitric oxide (NO). Luteolin, a naturally occurring polyphenolic flavonoid antioxidant, has potent anti-inflammatory and neuroprotective properties both in vitro and in vivo. However, the molecular mechanism of luteolin-mediated immune modulation in microglia is not fully understood. In the present study, we report the inhibitory effect of luteolin on lipopolysaccharide (LPS)/interferon γ (IFN-γ)-induced NO and proinflammatory cytokine production in rat primary microglia and BV-2 microglial cells. Luteolin concentration-dependently abolished LPS/IFN-γ-induced NO, tumor necrosis factor α (TNF-α) and interleukin 1β (IL-1β) production as well as inducible nitric oxide synthase (iNOS) protein and mRNA expression. Luteolin exerted an inhibitory effect on transcription factor activity including nuclear factor κB (NF-κB), signal transducer and activator of transcription 1 (STAT1) and interferon regulatory factor 1 (IRF-1) in LPS/IFN-γ-activated BV-2 microglial cells. Biochemical and pharmacological studies revealed that the anti-inflammatory effect of luteolin was accompanied by down-regulation of extracellular signal-regulated kinase (ERK), p38, c-Jun N-terminal kinase (JNK), Akt and Src. Further studies have demonstrated that the inhibitory effect of luteolin on intracellular signaling execution and proinflammatory cytokine expression is associated with resolution of oxidative stress and promotion of protein phosphatase activity. Together, these results suggest that luteolin suppresses NF-κB, STAT1 and IRF-1 signaling, thus attenuating inflammatory response of brain microglial cells., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Purpose: A characteristic of prion diseases which affect both animals and humans is the aggregation of PrP amyloid fibrils in the brain, associated with a chronic inflammatory response dominated by microglial activation. In this study, we hypothesised that specific ligands of the 18-kDa translocator protein (TSPO) would be effective in the evaluation of microglial activation related to PrP(sc) deposits in prion disease., Procedures: Chronological studies using in vitro autoradiography were carried out with [(3)H]-PK11195 and [(125)I]-IMPY on frozen cerebral sections from scrapie-infected mice and controls. Accumulation of prion deposits was confirmed by histoblot staining with prion protein-specific monoclonal antibody. Ex vivo autoradiographic studies were carried out with [(125)I]-CLINDE and [(125)I]-IMPY at the terminal stage of infection., Results: Chronological studies using in vitro autoradiography showed that PrP(sc) deposits were co-localised with activated microglia as early as 60 days post-inoculation. Progressive levels of PrP(sc) and TSPO staining were successively observed in the hippocampus, cortex and left thalamus of infected mouse brain sections in the course of the disease and were correlated with the signals obtained by histoblot staining. Significant TSPO labelling was also observed ex vivo in the cortex, hippocampus and thalamus of scrapie-infected mice. In parallel, [(125)I]-IMPY showed labelling in the same cerebral regions but with high background staining., Conclusions: These findings indicate the ability of [(125)I]-IMPY and [(125)I]-CLINDE to evaluate prion deposits and microglial activation in vitro and ex vivo in scrapie-infected mice at different stages of the disease.

A simple scheme is proposed to generate a N-qubit W state of spatiall separated single molecule magnets (SMM) in a cavity-fiber-cavity system. In the present scheme, the framework consisting of entangled qubits can be expediently designed according to our needs. By quantitatively discussing the case of N=4, we show that the effects of SMM's spontaneous decay and photon leakage out of fiber can be suppressed in our scheme due to the presence of virtual excited processes in SMM and fiber modes. Moreover, we also show that the present scheme is robust with respect to some deviations of experimental parameters, and as a result, the present investigation provides a research clue for realizing multi-partite entanglement between distant SMMs solid-state nanostructures, which may result in a substantial impact on the progress of multi-node quantum information network.

Introduction: A potential single-photon emission computed tomography imaging agent for labeling of A beta plaques of Alzheimer's disease, IMPY (2-(4'-dimethylaminophenyl)-6-iodo-imidazo[1,2-a]pyridine), would be effective in detection of prion amyloid deposits in transmissible spongiform encephalopathies (TSEs)., Methods: In vitro autoradiographic studies were carried out with [125 I]IMPY on brain sections from scrapie-infected mice and age-matched controls. Competition study was performed to evaluate the prion deposit binding specificity with nonradioactive IMPY., Results: Binding of [125 I]IMPY was observed in infected brain sections, while on age-matched control brain sections, there was no or very low labeling. Prion deposit binding was confirmed by histoblots with prion protein-specific monoclonal antibody 2D6. In the presence of nonradioactive IMPY, the binding of [125 I]IMPY was significantly inhibited in all regions studied., Conclusions: These findings indicate that IMPY can detect the prion deposits in vitro in scrapie-infected mice. Labeled with 123 I, this ligand may be useful to quantitate prion deposit burdens in TSEs by in vivo imaging.

The effects of four fruit juices, processed vegetable juice, orange peel, green tea and low dose vitamin C on endogenous N-nitrosation in 86 subjects from a high-risk area for gastric cancer in Moping County, China were studied using urinary excretion of N-nitrosoproline (NPRO) as an indicator. After ingestion of 300 mg L-proline, urinary excretion of NPRO was significantly increased from a baseline of 2.5 +/- 1.6 micrograms/day to 8.7 +/- 6.2 micrograms/day. (P < 0.001). Vitamin C (75 mg) administration significantly reduced NPRO formation (62.3%, P < 0.002) although NPRO excretion remained higher than the baseline level (4.2 +/- 1.3 vs 2.2 +/- 1.2 micrograms/day, P < 0.001). Intake of fruit juices and green tea extracts (containing 75 mg vitamin C) or of orange peel powder (containing 3 mg vitamin C) together with 300 mg L-proline inhibited NPRO formation effectively to the baseline level or to levels significantly lower than the baseline level (P < 0.05-0.005). A processed juice of a number of vegetables (300 ml) significantly catalysed endogenous nitrosation (14.7 +/- 11.8 vs 9.4 +/- 4.7 micrograms/day, P < 0.05). Endogenous N-nitrosation was unaffected by the presence of intragastric lesions. The present study shows that endogenous nitrosation in this population is profoundly affected by environmental factors and that inhibitors, such as vitamin C, alpha-tocopherol and other non-nutritive compounds in the foods do inhibit endogenous nitrosation either synergistically or in an additive manner. The significance of fruits and vegetables in prevention of human cancers is discussed.

According to results of endoscopic and pathological evaluations of gastric mucosa, we investigated some aspects of drinking water for three groups of subjects with various intragastric lesions from a high-risk area (Moping County) for stomach cancer. Their nitrate intakes via drinking water were estimated. The results showed that the occurrence of stomach cancer and other intragastric lesions in these subjects was closely related to their drinking water quality and nitrate intake via water.

A total of 695 different Chinese foods and ten malt samples were analysed, using gas chromatography-thermal energy analysis, for the possible presence of volatile N-nitrosamines. N-Nitrosodimethylamine (NDMA) was found in 146 of 176 beers tested at concentrations ranging from 0.1 to 6 ppb. NDMA was also detected in 201 of 271 meat products tested at concentrations ranging from 0.1 to 7.4 ppb. High levels of NDMA, up to 131.5 ppb, were detected in some seafoods and were further confirmed by gas chromatography-mass spectrometry. Milk products were found to contain less than 0.1-3.6 ppb NPYR, less than 0.1-5.7 ppb NDMA and less than 0.1-0.7 ppb NPIP, while in flavourings the nitrosamine concentrations were less than 0.1-10.3 ppb NPYR, less than 0.1-3.6 ppb NDMA and less than 0.1-0.9 ppb NPIP. Pickled vegetables contained less than 0.1-25.5 ppb NPYR and less than 0.1-15 ppb NDMA.