Karyotypes of 10 Anuran Species from the Qinghai–Tibetan Plateau

The Qinghai–Tibet Plateau (QTP) is the highest and largest mountain plateau in the world, which has become a focus area of amphibian biodiversity research and conservation, depending on its large number of endemic and threatened species. Among the 58 families of Anura, only a few species of four families (Megophryidae, Bufonidae, Dicroglossidae, Ranidae) are distributed in QTP. Revealing the genetic diversity of these species is crucial for research on their environmental adaptability and biodiversity conservation. Chromosome rearrangements are a critical source of genetic variation, which is recognized as a driver of speciation, providing the genetic material for differentiation and environmental adaptation of amphibians. Here, we identified the karyotypes of 10 species of the above families from the QTP. The karyotypes of these species were obtained from new sites that were not previously reported. Among them, the karyotypes of D. himalayanus and tetraploid B. zamdaensis were reported for the first time. In particular, the ploidy of B. zamdaensis from Zanda, China, was found to be distinctly different from the ploidy from Spiti River, India. This indicates that they have presented species differentiation and supports the multiple and complicated polyploidization events in the Bufotes toads. Furthermore, the different locations of the secondary constriction between the Weixi and Zhongdian populations of O. xiangchengensis support that there is a karyotypic variation between the two subspecies (O. xiangchengensis xiangchengensis vs. O. xiangchengensis deqinicus). A series of chromosomal variations may have facilitated the rapid evolution of amphibians in the QTP, and our study will provide support for further research on amphibian genetic diversity and biodiversity conservation

Microbial diversity in mountain-dwelling amphibians: The combined effects of host and climatic factors

Summary: Comprehending the determinants of host-associated microbiota is pivotal in microbial ecology. Yet, the links between climatic factors and variations in host-associated microbiota necessitate further clarification. Mountain-dwelling amphibians, with limited dispersal abilities, serve as valuable models for addressing these questions. Our study, using 126 amphibian-associated microbial samples (64 gut and 62 skin) and 101 environmental microbial samples (51 soil and 50 water) from the eastern Tibetan Plateau, revealed host factors as primary drivers of the variations in host-associated microbiota. However, climatic factors contributed to additional variations in gut microbial beta-diversity and skin microbial function. Water microbiota were identified as a significant contributor to the amphibian-associated microbiomes, with their climate-driven variations mediating an indirect association between the variations in climatic factors and host-associated microbiota. These findings extend our understanding of the assembly of host-associated microbiota in amphibians, emphasizing the significance of microbiota in evaluating the impact of climate change on animals

The Spouses of Stroke Patients Have a Similar Oral Microbiome to Their Partners with an Elevated Risk of Stroke

Spousal members who share no genetic relatedness show similar oral microbiomes. Whether a shared microbiome increases the risk of cerebrovascular disease is challenging to investigate. The aim of this study was to compare the oral microbiota composition of poststroke patients, their partners, and controls and to compare the risk of stroke between partners of poststroke patients and controls. Forty-seven pairs of spouses and 34 control subjects were recruited for the study. Alcohol use, smoking, metabolic disease history, clinical test results, and oral health were documented. Oral microbiome samples were measured by 16S rRNA gene sequencing. The risk of stroke was measured by risk factor assessment (RFA) and the Framingham Stroke Profile (FSP). Poststroke patients and their partners exhibited higher alpha diversity than controls. Principal-coordinate analysis (PCoA) showed that poststroke patients share a more similar microbiota composition with their partners than controls. The differentially abundant microbial taxa among the 3 groups were identified by linear discriminant analysis effect size (LEfSe) analysis. The risk factor assessment indicated that partners of poststroke patients had a higher risk of stroke than controls. Spearman correlation analysis showed that Prevotellaceae was negatively associated with RFA. Lactobacillales was negatively associated with FSP, while Campilobacterota and [Eubacterium]_nodatum_group were positively associated with FSP. These results suggest that stroke risk may be transmissible between spouses through the oral microbiome, in which several bacteria might be involved in the pathogenesis of stroke

Association between oral microbial dysbiosis and poor functional outcomes in stroke-associated pneumonia patients

Abstract Background Despite advances in our understanding of the critical role of the microbiota in stroke patients, the oral microbiome has rarely been reported to be associated with stroke-associated pneumonia (SAP). We sought to profile the oral microbial composition of SAP patients and to determine whether microbiome temporal instability and special taxa are associated with pneumonia progression and functional outcomes. Methods This is a prospective, observational, single-center cohort study that examined patients with acute ischemic stroke (AIS) who were admitted within 24 h of experiencing a stroke event. The patients were divided into three groups based on the occurrence of pneumonia and the use of mechanical ventilation: nonpneumonia group, SAP group, and ventilator-associated pneumonia (VAP) group. We collected oral swabs at different time points post-admission and analyzed the microbiota using 16 S rRNA high-throughput sequencing. The microbiota was then compared among the three groups. Results In total, 104 nonpneumonia, 50 SAP and 10 VAP patients were included in the analysis. We found that SAP and VAP patients exhibited significant dynamic differences in the diversity and composition of the oral microbiota and that the magnitude of this dysbiosis and instability increased during hospitalization. Then, by controlling the potential effect of all latent confounding variables, we assessed the changes associated with pneumonia after stroke and explored patients with a lower abundance of Streptococcus were more likely to suffer from SAP. The logistic regression analysis revealed that an increase in specific taxa in the phylum Actinobacteriota was linked to a higher risk of poor outcomes. A model for SAP patients based on oral microbiota could accurately predict 30-day clinical outcomes after stroke onset. Conclusions We concluded that specific oral microbiota signatures could be used to predict illness development and clinical outcomes in SAP patients. We proposed the potential of the oral microbiota as a non-invasive diagnostic biomarker in the clinical management of SAP patients. Clinical Trial registration NCT04688138. Registered 29/12/2020, https://clinicaltrials.gov/ct2/show/NCT04688138

ROS1-fusion protein induces PD-L1 expression via MEK-ERK activation in non-small cell lung cancer

Introduction Despite some of the oncogenic driver mutations that have been associated with increased expression of programmed death-ligand 1 (PD-L1), the correlation between PD-L1 expression and ROS1 fusion in NSCLC cells, especially for those with Crizotinib resistance has not been fully addressed. Materials and Methods The expression of PD-L1 in 30 primary NSCLC tumors with/without ROS1-fusion protein was evaluated by immunohistochemical (IHC) analysis. To assess the correlation between ROS1 fusion and PD-L1 expression, we down-regulated ROS1 with RNA interference or specific inhibitor (Crizotinib) in ROS1-fusion positive NSCLC cell line HCC78; or up-regulate ROS1-fusion gene in an immortalized human bronchial epithelial cell line (HBE). Mouse xenograft models were also used to determine the effect of ROS1 expression on PD-L1 expression in vivo. Crizotinib-resistant cell line was generated for measuring the association between Crizotinib resistance and PD-L1 expression. Results ROS1-rearrangement in primary NSCLC tumor was significantly associated with up-regulated PD-L1 expression. PD-L1 expression was significantly up-regulated in bronchial epithelial cells after forced expression of ROS1 fusion and was eliminated when HCC78 xenograft mouse models were treated with Crizotinib. We found PD-L1 expression was modulated by MEK-ERK pathway signaling in both parental and Crizotinib-resistant NSCLC cells with ROS1 fusion. Conclusions The correlation between ROS1-fusion and PD-L1 overexpression suggested that PD-L1/PD-1 blockade could be the second-line treatment option for the Crizotinib-resistant NSCLC with ROS1 rearrangement

Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022

The National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support global research in both academia and industry. With the explosively accumulated multi-omics data at ever-faster rates, CNCB-NGDC is constantly scaling up and updating its core database resources through big data archive, curation, integration and analysis. In the past year, efforts have been made to synthesize the growing data and knowledge, particularly in single-cell omics and precision medicine research, and a series of resources have been newly developed, updated and enhanced. Moreover, CNCB-NGDC has continued to daily update SARS-CoV-2 genome sequences, variants, haplotypes and literature. Particularly, OpenLB, an open library of bioscience, has been established by providing easy and open access to a substantial number of abstract texts from PubMed, bioRxiv and medRxiv. In addition, Database Commons is significantly updated by cataloguing a full list of global databases, and BLAST tools are newly deployed to provide online sequence search services