Complete mitochondrial genome of Penicillidia dufourii (Diptera: Hippoboscoidea: Nycteribiidae) and phylogenetic relationship.

Penicillidia dufourii (Westwood 1834) is a specialized parasite categorized under family Nycteribiidae that prefers to parasitize the body surface of various bats under the genus Myotis. Many species of the family Nycteribiidae are carriers of various pathogens; however, research on P. dufourii remains scarce, and studies on its molecular identification and population genetic structure are still lacking. In this study, the complete mitochondrial genome of P. dufourii was elucidated for the first time using Illumina sequencing. The mitochondrial genome is 15,354 bp in size and encodes approximately 37 genes, including 13 protein-coding genes, 22 tRNA genes, 2 rRNA genes, and 1 control region. Analysis of 13 protein-coding genes revealed that UUA, UCA, CGA, and GGA were the most common codons, while nad4L had the fastest evolutionary rate and cox1 the slowest. Phylogenetic analysis based on the mitochondrial genome indicated that P. dufourii is clustered with other species of the family Nycteribiidae and is most closely related to Nycteribia parvula and Phthiridium szechuanum.

EMR-HRNet: A Multi-Scale Feature Fusion Network for Landslide Segmentation from Remote Sensing Images.

Landslides constitute a significant hazard to human life, safety and natural resources. Traditional landslide investigation methods demand considerable human effort and expertise. To address this issue, this study introduces an innovative landslide segmentation framework, EMR-HRNet, aimed at enhancing accuracy. Initially, a novel data augmentation technique, CenterRep, is proposed, not only augmenting the training dataset but also enabling the model to more effectively capture the intricate features of landslides. Furthermore, this paper integrates a RefConv and Multi-Dconv Head Transposed Attention (RMA) feature pyramid structure into the HRNet model, augmenting the model's capacity for semantic recognition and expression at various levels. Last, the incorporation of the Dilated Efficient Multi-Scale Attention (DEMA) block substantially widens the model's receptive field, bolstering its capability to discern local features. Rigorous evaluations on the Bijie dataset and the Sichuan and surrounding area dataset demonstrate that EMR-HRNet outperforms other advanced semantic segmentation models, achieving mIoU scores of 81.70% and 71.68%, respectively. Additionally, ablation studies conducted across the comprehensive dataset further corroborate the enhancements' efficacy. The results indicate that EMR-HRNet excels in processing satellite and UAV remote sensing imagery, showcasing its significant potential in multi-source optical remote sensing for landslide segmentation.

Infection status and molecular detection of pathogens carried by ectoparasites of Miniopterus fuliginosus bats in Yunnan, China.

Bats serve as natural hosts for various infectious agents that can affect both humans and animals, and they are geographically widespread. In recent years, the prevalence of bat-associated pathogens has surged on a global scale, consequently generating significant interest in bats and their ectoparasites. In this study, we specifically selected the Miniopterus fuliginosus as the host and conducted bat captures in Nanjian Yi Autonomous County, Dali Bai Autonomous Prefecture, and the other in Mouding Township, Chuxiong Yi Autonomous Prefecture, located in Yunnan Province, China. Ectoparasites were meticulously collected from the bat body surface, alongside blood samples for subsequent analyses. Following collection, the ectoparasites were methodically identified and subjected to comprehensive ecological analysis. Additionally, DNA was extracted from both the bat blood and bat flies, with conventional PCR techniques utilized for molecular screening of four pathogens: Anaplasma sp., Babesia sp., Hepatozoon sp., and Bartonella sp. The capture efforts yielded a total of 37 M. fuliginosus, from which 388 ectoparasites were recovered, including 197 gamasid mites (Cr = 50.77%, PM = 94.59%, MA = 5.32, MI = 5.63) and 191 bat flies (Cr = 49.23%, PM = 75.68%, MA = 5.16, MI = 6.82). Notably, Steatonyssus nyctali (Y = 0.28, m*/m = 2.44) and Nycteribia allotopa (Y = 0.23,m*/m = 1.54) predominated among different individuals of M. fuliginosus, exhibiting an aggregated distribution pattern. The infection rates of Bartonella sp. were identified to be 18.92% (7/37) among bats and 37.17% (71/191) among bat flies, based on the testing of 37 bats and 191 bat flies. Phylogenetic analysis demonstrated that the Bartonella sequences exhibited similarity to those found in bats and bat flies within China and South Korea. This study not only contributes to our comprehension of ectoparasite infection in M. fuliginosus but also establishes a foundation for potential exploration of their role as vectors.

Corrigendum: LncRNA-AC02278.4 is a novel prognostic biomarker that promotes tumor growth and metastasis in lung adenocarcinoma.

[This corrects the article DOI: 10.3389/fonc.2022.860961.].

Three new pterosins from Pteris semipinnata.

Three new pterosins, named as semipterosin A (1), B (2) and C (3), together with 11 known pterosins (4-14), were isolated from the aerial parts of Pteris semipinnata. Their structures were elucidated by HRESI-MS, NMR spectral data, CD and literature comparisons. Three new pterosins were assessed for their anti-inflammatory activity. Compounds 1-3 inhibited the NF-kB induction by 40.7%, 61.9% and 34.0%, respectively. This is the first report of the isolation of compounds 6-14 from this plant.

Natural compounds and mesenchymal stem cells: implications for inflammatory-impaired tissue regeneration.

Inflammation is a common and important pathological process occurring in any part of the body and relating to a variety of diseases. Effective tissue repair is critical for the survival of impaired organisms. Considering the side effects of the currently used anti-inflammatory medications, new therapeutic agents are urgently needed for the improvement of regenerative capacities of inflammatory-impaired tissues. Mesenchymal stromal stem/progenitor cells (MSCs) are characterized by the capabilities of self-renewal and multipotent differentiation and exhibit immunomodulatory capacity. Due to the ability to modulate inflammatory phenotypes and immune responses, MSCs have been considered as a potential alternative therapy for autoimmune and inflammatory diseases. Natural compounds (NCs) are complex small multiple-target molecules mostly derived from plants and microorganisms, exhibiting therapeutic effects in many disorders, such as osteoporosis, diabetes, cancer, and inflammatory/autoimmune diseases. Recently, increasing studies focused on the prominent effects of NCs on MSCs, including the regulation of cell survival and inflammatory response, as well as osteogenic/adipogenic differentiation capacities, which indicate the roles of NCs on MSC-based cytotherapy in several inflammatory diseases. Their therapeutic effects and fewer side effects in numerous physiological processes, compared to chemosynthetic drugs, made them to be a new therapeutic avenue combined with MSCs for impaired tissue regeneration. Here we summarize the current understanding of the influence of NCs on MSCs and related downstream signaling pathways, specifically in pathological inflammatory conditions. In addition, the emerging concepts through the combination of NCs and MSCs to expand the therapeutic perspectives are highlighted. A promising MSC source from oral/dental tissues is also discussed, with a remarkable potential for MSC-based therapy in future clinical applications.

Brain connectome-based imaging markers for identifiable signature of migraine with and without aura.

Background: Cortical spreading depression (CSD) has been considered the prominent theory for migraine with aura (MwA). However, it is also argued that CSD can exist in patients in a silent state, and not manifest as aura. Thus, the MwA classification based on aura may be questionable. This study aimed to capture whole-brain connectome-based imaging markers with identifiable signatures for MwA and migraine without aura (MwoA). Methods: A total of 88 migraine patients (32 MwA) and 49 healthy controls (HC) underwent a diffusion tensor imaging and resting-state functional magnetic resonance imaging scan. The whole-brain structural connectivity (SC) and functional connectivity (FC) analysis was employed to extract imaging features. The extracted features were subjected to an all-relevant feature selection process within cross-validation loops to pinpoint attributes demonstrating substantial efficacy for patient categorization. Based on the identified features, the predictive ability of the random forest classifiers constructed with the 88 migraine patients' sample was tested using an independent sample of 32 migraine patients (eight MwA). Results: Compared to MwoA and HC, MwA showed two reduced SC and six FC (five increased and one reduced) features [all P<0.01, after false discovery rate (FDR) correction], involving frontal areas, temporal areas, visual areas, amygdala, and thalamus. A total of four imaging features were significantly correlated with clinical rating scales in all patients (r=-0.38 to 0.47, P<0.01, after FDR correction). The predictive ability of the random forest classifiers achieved an accuracy of 78.1% in the external sample to identify MwA. Conclusions: The whole-brain connectivity features in our results may serve as connectome-based imaging markers for MwA identification. The alterations of SC and FC strength provide possible evidence in further understanding the heterogeneity and mechanism of MwA which may help for patient-specific decision-making.

Aberrant brain functional hubs and causal effective connectivity in menstrually-related and non-menstrually-related migraine without aura.

Background: Menstrual migraine without aura (MRM) is common in female migraineurs and is closely related to cerebral functional abnormalities. However, whether the whole brain networks and directional functional connectivity of MRM patients are altered remains unclear. The purpose of this study was to detect the alterations of resting-state functional networks and directional functional connectivity between MRM and non-menstrual migraine without aura (NMM) patients using functional magnetic resonance imaging (fMRI) with degree centrality (DC) and Granger causality analysis (GCA) methods. Methods: In this retrospective and cross-sectional study, 45 MRM and 40 NMM patients (matched in age, gender, and years of education) were recruited in the study between May 2018 and June 2022. All participants had undergone resting-state fMRI scanning at the Neurology and Pain Outpatient Department of Nanjing First Hospital. Their brain functions were analyzed in terms of DC and GCA, with the significant threshold at voxel level P<0.01 and cluster level P<0.05, Gaussian random field corrected. Correlation analysis was adopted to assess the relationships between the fMRI results and clinical features (P<0.05, Bonferroni corrected). Results: Compared with those in the NMM group, MRM patients showed decreased DC in the right insula (T=-4.253). Using the right insula as the seed region, patients with MRM demonstrated enhanced effective connectivity from the right insula to the ipsilateral middle temporal gyrus (T=4.138) and contralateral superior temporal gyrus (T=3.523). Furthermore, the MRM group also showed decreased effective connectivity from several brain regions to the right insula, which included the right inferior occipital gyrus (T=-4.498), left middle frontal gyrus (T=-4.879), right precuneus (T=-4.644), and left inferior parietal gyrus (T=-4.113). The average Self-rating Anxiety Scale score of the MRM group was significantly higher than that of the NMM group [P=0.032, 95% confidence interval (CI): 0.363-7.761]. In the MRM group, disease duration was negatively correlated with the mean value of DC in right insula (r=-0.428, P=0.01). Conclusions: The present research demonstrated that patients with MRM have disruption in insula resting-state functional networks. Disrupted networks contained regions associated with cognitive processes, emotional perception, and migraine attack in MRM patients. These results may improve our comprehension of the neuromechanism of menstrually-related migraine.

The complete mitochondrial genome of Nycteribia formosana (Diptera, Nycteribiidae).

The family Hippoboscidae is an ectoparasite that primarily inhabits bats and relies on the host's blood for sustenance. This research provides the first complete mitochondrial genome of Nycteribia formosana, which shares similar characteristics with other dipteran insects. The circularized mitochondrial genome, spanning 15,107 bp, encompasses 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNA), two ribosomal RNA genes, and a control region. The nucleotide composition of A, C, G, and T is 40.4%, 10.9%, 6.7%, and 42.0%, respectively. The findings from the phylogenetic analysis suggest that the species under investigation forms a cluster with other species belonging to the family Nycteribiidae. Consequently, this study provides valuable insights for the identification of N. formosana.