Recent progress of methods for cuproptosis detection.

Varying from other identified cell death pathways, cuproptosis is a new type of regulated cell death characterized by excess Cu ions, abnormal aggregation of lipoylated proteins in TCA cycle, loss of Fe-S cluster proteins, upregulation of HSP70, leading to proteotoxic and oxidative stress. Cuproptosis is highly concerned by scientific community and as the field of cuproptosis further develops, remarkable progress has been made in the verification and mechanism of cuproptosis, and methods used to detect cuproptosis have been continuously improved. According to the characteristic changes of cuproptosis, techniques based on cell death verification, Cu content, morphology, molecular biology of protein levels of cuproptosis-related molecules and biochemical pathways of cuproptosis-related enzyme activity and metabolites of oxidative stress, lipoic acid, TCA cycle, Fe-S cluster proteins, oxidative phosphorylation, cell respiration intensity have been subject to cuproptosis verification and research. In order to further deepen the understanding of detecting cuproptosis, the principle and application of common cuproptosis detection methods are reviewed and categorized in cellular phenomena and molecular mechanism in terms of cell death, Cu content, morphology, molecular biology, biochemical pathways with a flow chart. All the indicating results have been displayed in response to the markers of cuproptosis, their advantages and limitations are summaried, and comparison of cuproptosis and ferroptosis detection is performed in this study. Our collection of methods for cuproptosis detection will provide a great basis for cuproptosis verification and research in the future.

CTHNet: a network for wheat ear counting with local-global features fusion based on hybrid architecture.

Accurate wheat ear counting is one of the key indicators for wheat phenotyping. Convolutional neural network (CNN) algorithms for counting wheat have evolved into sophisticated tools, however because of the limitations of sensory fields, CNN is unable to simulate global context information, which has an impact on counting performance. In this study, we present a hybrid attention network (CTHNet) for wheat ear counting from RGB images that combines local features and global context information. On the one hand, to extract multi-scale local features, a convolutional neural network is built using the Cross Stage Partial framework. On the other hand, to acquire better global context information, tokenized image patches from convolutional neural network feature maps are encoded as input sequences using Pyramid Pooling Transformer. Then, the feature fusion module merges the local features with the global context information to significantly enhance the feature representation. The Global Wheat Head Detection Dataset and Wheat Ear Detection Dataset are used to assess the proposed model. There were 3.40 and 5.21 average absolute errors, respectively. The performance of the proposed model was significantly better than previous studies.

A segmentation network for farmland ridge based on encoder-decoder architecture in combined with strip pooling module and ASPP.

In order to effectively support wheat breeding, farmland ridge segmentation can be used to visualize the size and spacing of a wheat field. At the same time, accurate ridge information collecting can deliver useful data support for farmland management. However, in the farming ridge segmentation scenarios based on remote sensing photos, the commonly used semantic segmentation methods tend to overlook the ridge edges and ridge strip features, which impair the segmentation effect. In order to efficiently collect ridge information, this paper proposes a segmentation method based on encoder-decoder of network with strip pooling module and ASPP module. First, in order to extract context information for multi-scale features, ASPP module are integrated in the deepest feature map. Second, the remote dependence of the ridge features is improved in both horizontal and vertical directions by using the strip pooling module. The final segmentation map is generated by fusing the boundary features and semantic features using an encoder and decoder architecture. As a result, the accuracy of the proposed method in the validation set is 98.0% and mIoU is 94.6%. The results of the experiments demonstrate that the method suggested in this paper can precisely segment the ridge information, as well as its value in obtaining data on the distribution of farmland and its potential for practical application.

Qualitative evaluation of connective tissue disease with cytomegalovirus infection: A meta-analysis of case reports.

BACKGROUND: The primary therapies for connective tissue disease include glucocorticoids and immunosuppressants. However, their prolonged usage can precipitate opportunistic infections, such as cytomegalovirus infection. When managing connective tissue disease complicated by cytomegalovirus infection, judicious selection of treatment modalities is crucial. This involves assessing the necessity for antiviral therapy and contemplating the reduction or cessation of glucocorticoids and immunosuppressants. OBJECTIVE: This investigation sought to methodically review existing literature regarding treating connective tissue disease patients with cytomegalovirus infection. METHODS: On July 5, 2023, an exhaustive literature search was conducted. Data analysis utilized the Kruskal-Wallis test or one-way analysis of variance, supplemented by Bonferroni post hoc testing. RESULTS: Our meta-analysis incorporated 88 studies encompassing 146 connective tissue disease patients with CMV infections. The results indicated that patients with connective tissue disease and cytomegalovirus disease benefitted more from antiviral therapy than those not receiving such treatment (P = 0.003, P < 0.005). Furthermore, the strategic reduction of glucocorticoids and/or immunosuppressants was beneficial (P = 0.037, P < 0.05). Poor clinical outcomes with glucocorticoid-immunosuppressant combination therapy compared to other treatment modalities. The findings also suggested that CMV infection patients fare better without Cyclosporine A than using it (P = 0.041, P < 0.05). CONCLUSION: Antiviral therapy is a viable treatment option in cases of connective tissue disease co-occurring with cytomegalovirus disease. Additionally, when connective tissue disease is stable, there is potential merit in reducing glucocorticoids and/or immunosuppressants, especially avoiding the combination of these drugs. For all cytomegalovirus infection patients, Cyclosporine A may be avoided wherever possible for selecting immunosuppressive agents if its use is not deemed essential in the treatment regimen.

Risk factors for invasive fungal infections in patients with connective tissue disease: Systematic review and meta-analysis.

OBJECTIVE: Invasive fungal infections (IFIs) are life-threatening opportunistic infections in patients with connective tissue disease CTD) that cause significant morbidity and mortality. We attempted to determine the potential risk factors associated with IFIs in CTD. METHODS: We systematically searched PubMed, Embase, and the Cochrane Library databases for relevant articles published from the database inception to February 1, 2023. RESULTS: Twenty-six studies were included in this systematic review and meta-analysis. Risk factors identified for IFIs were diabetes (odds ratio [OR], 1.62; 95% confidence interval [CI], 1.00 to 2.64), pulmonary diseases (OR 3.43; 95% CI 2.49 to 4.73), interstitial lung disease (ILD; OR, 4.06; 95% CI, 2.22 to 7.41), renal disease (OR, 4.41; 95% CI, 1.84 to 10.59), glucocorticoid (GC) use (OR, 4.15; 95% CI, 2.74 to 6.28), especially moderate to high-dose GC, azathioprine (AZA) use (OR, 1.50; 95% CI, 1.12 to 2.01), calcineurin inhibitor (CNI) use (OR, 2.49; 95% CI, 1.59 to 3.91), mycophenolate mofetil (MMF) use (OR, 2.83; 95% CI, 1.59 to 5.03), cyclophosphamide (CYC) use (OR, 3.35; 95% CI, 2.47 to 4.54), biologics use (OR, 3.43; 95% CI, 2.36 to 4.98), and lymphopenia (OR, 4.26; 95% CI, 2.08 to 8.73). Hydroxychloroquine (HCQ) use reduced risk of IFIs (OR, 0.67; 95% CI, 0.54 to 0.84). Furthermore, 17 of the 26 studies only reported risk factors for Pneumocystis jiroveci pneumonia (PJP) in patients with CTD. Pulmonary disease; ILD; and the use of GC, CNIs, CYC, methotrexate (MTX), MMF and biologics, and lymphopenia increased the risk of PJP, whereas the use of HCQ reduced its risk. CONCLUSION: Diabetes, pulmonary disease, ILD, renal disease, use of GC (especially at moderate to high dose) and immunosuppressive drugs, and lymphopenia were found to be associated with significant risk for IFIs (especially PJP) in patients with CTD. Furthermore, the use of HCQ may reduce the risk of IFIs in patients with CTD.

Cyclophosphamide in the Treatment of Systemic Lupus Erythematosus-related Guillain-Barré Syndrome: A Systematic Review of Case Reports.

A small category of Guillain-Barré syndrome (GBS) occurs in the presence of systemic lupus erythematosus (SLE). However, specific treatments for this condition have not been established. Cyclophosphamide (CYC) has been reported to benefit patients with SLE-related GBS in some isolated case reports. Consequently, our objective was to investigate the effectiveness of CYC in SLE-related GBS by means of a systematic literature review. Three online databases, PubMed, Embase and Web of Science, were searched for English articles describing the effectiveness of CYC treatment for SLE-related GBS. We extracted data on patient characteristics, disease course, and CYC efficacy and tolerance. Of 995 studies identified, 26 were included in this systematic review. The data for 28 patients (9 men and 19 women) with SLE-related GBS were reviewed, and the patient age at diagnosis varied from 9 to 72 years (mean: 31.5 years [median: 30.5 years]). Sixteen patients (57.1%) had SLE-related GBS before SLE diagnosis. With regard to CYC response, 24 patients (85.7%) showed resolution (46.4%) or improvement (39.3%) of neurological symptoms. Relapse occurred in one patient (3.6%). Four patients (14.3%) showed no improvement in neurological symptoms following CYC administration. With regard to CYC safety, infections developed in two patients (7.1%), and one death (3.6%) due to posterior reversible encephalopathy syndrome was reported. Lymphopenia developed in one patient (3.6%). Our preliminary data suggest that CYC appears to be an effective treatment for SLE-related GBS. However, it is important to differentiate patients with pure GBS concurrent with SLE, because CYC is ineffective for pure GBS.