Departmental sources Background:Notoginsenoside R1 (NR) is a major dynamic constituent of Panax notoginseng found to possess anti-inflammatory activity against various inflammatory diseases. However, its protective effects against renal ischemiareperfusion (I/R) injury have not been elucidated. In male Wistar rats, we induced I/R under general anesthesia by occluding the renal artery for 60 min, followed by reperfusion and right nephrectomy. Material/Methods:Rats were randomized to 4 groups: a sham group, an I/R group, an NR-pretreated (50 mg/kg) before I/R induction group, and an NR control group. All animals were killed at 72 h after I/R induction. Blood and renal tissues were collected, and histological and basic renal function parameters were assessed. In addition, levels of various kidney markers and proinflammatory cytokines were measured using RT-PCR, ELISA, and immunohistochemistry analysis. Results:After I/R induction, the onset of renal dysfunction was shown by the elevated levels of serum urea, creatinine levels, and histological evaluation, showing a 2-fold increase in the renal failure markers kim-1 and NGAL compared to control rats. Rats pretreated with NR before I/R induction had significantly better renal functions, with attenuated levels of oxidative markers, restored levels of inflammatory cytokines such as tumor necrosis factor-a (TNF-a), tumor growth factor-b1 (TGF-b1), INF-g, and IL-6, and increased anti-inflammatory cytokine levels (IL-10) compared to I/R-induced rats. Conclusions:NR suppressed I/R-induced inflammatory cytokines production by suppressing oxidative stress and kidney markers, suggesting that NR is a promising drug candidate for prevention, progression, and treatment of renal dysfunction.

The unmanned aerial vehicle (UAV) technology provides a new option for power transmission line inspection. The cost of the UAV detection process is relatively low, and it is flexible and extensible. In order to ensure the safety and stability of power supply in the current large and complex power grid system, UAV detection with image recognition technology has become an urgent need for the development of the current power system. Herein, we review the development of this field in detail. Different from the previous simple discussion on UAV power line inspection technology, this work not only systematically summarizes the UAV power line detection platform and its system structure, but also discusses the image recognition technology based on UAV data. Further, we focus on the fundamental process and development of power line image processing technology based on depth learning, hoping to contribute a systematic reference to the field of power line inspection based on UAV image vision.

Objective This study was undertaken to investigate the long‐term survival rates and prognostic factors in patients with idiopathic inflammatory myopathies (IIMs) based on myositis‐specific antibody (MSA) stratification. Methods Exactly 628 patients with an IIM were included. Kaplan‐Meier survival curves, univariate, and multivariate Cox regression were used to analyze the outcomes and risk factors. Results The cumulative 1‐, 5‐, and 10‐year survival rates for IIM patients overall were 91.4%, 82.8%, and 75.6%, respectively. The survival rate in the MSA subset was significantly different (P < 0.001). The 1‐ and 10‐year survival rates in the anti–melanoma differentiation–associated protein 5 (anti–MDA‐5)–positive subgroup were 79.5% and 58.5%, respectively, which were the lowest among all subgroups. The 10‐year survival rate of anti–signal recognition particle (anti‐SRP)–positive patients was the highest (96.4%). Independent risk factors that impacted the long‐term prognosis for IIM patients included rapidly progressive interstitial lung disease (RP‐ILD), malignancy, and elevated serum ferritin levels (hazard ratio [HR] 17.47, 20.36, and 9.15, respectively, P < 0.01), whereas disease duration was a protective factor (HR 0.27, P = 0.003). Among these subsets, the strongest independent risk factor for death in the anti–MDA‐5–positive subgroup was RP‐ILD (HR 3.4, P = 0.017). Malignancy was an independent risk factor in the anti–aminoacyl‐tRNA synthetase antibody–positive, anti–transcription intermediary factor 1γ–positive, and MSA‐negative subgroups (HR 46.69, 6.65, and 4.48, respectively; P < 0.001). RP‐ILD was also a risk factor in the prognosis of individuals in the MSA‐negative subgroup (HR 72.28, P < 0.001). Conclusion Despite favorable overall survival in patients with IIM, the anti–MDA‐5–positive subgroup had the highest mortality rate among all MSA subgroups, highlighting the distinctive prognosis for patients with different MSAs. RP‐ILD and malignancy are the most common causes of death in IIM patients.

ObjectiveThe clinical features of myositis specific antibody negative dermatomyositis (MSA negative DM) varied greatly, and there were few reports in the literatures. This study aimed to describe and expand the clinical phenotypes and prognoses of MSA negative DM patients.Methods MSA negative DM patients were identified from January 2010 to June 2020. We retrospectively reviewed the clinical features and laboratory data. The survival status was followed up until July 31. 2020 SPSS version 21.0 and R version 3.6.1 software were used for the statistical analyses. ResultsA total of 97 MSA negative DM patients were enrolled. The most common type of rashes was heliotrope rash (80.4%). More than half of the patients (55.7%) had interstitial lung disease (ILD), and seven of them developed rapid progressive ILD. There were eleven patients with tumours. During the follow-up, twelve patients died, of whom 5 (41.7%) died due to infection. Two phenotypes of MSA negative DM patients were identified by cluster analysis. Patients in cluster 1 developed muscle weakness, mechanic's hands, arthritis, and ILD more frequently. Patients in cluster 2 had a higher incidence of heliotrope rashes. Patients in cluster 1 tended to have worse prognoses, wherein the 1-year and 5-year survival rates (81.1% and 78.4%, respectively) were lower than those in cluster 2 (97.6% and 95.2%, respectively), with p-value 0.04 and 0.056, respectively. ConclusionThrough cluster analysis, different clinical phenotypes of MSA negative DM patients were determined. The prognoses of the two subgroups were different in terms of survival rate and cause of death.