Genetic diversity is a fundamental component of biodiversity. Examination of global patterns of genetic diversity can help highlight mechanisms underlying species diversity, though patterns may differ across the genome. Here, we compiled 6862 observations of genetic diversity from 492 species of marine fish, assessed their associations with macroecological drivers, and tested among hypotheses for diversity gradients: the founder effect hypothesis, the kinetic energy hypothesis, and the productivity-diversity hypothesis. We found that mitochondrial genetic diversity followed geographic gradients similar to those of species diversity, being highest near the equator, particularly in the Coral Triangle, while nuclear genetic diversity did not follow clear global patterns. Despite these differences, all genetic diversity metrics were strongly correlated with chlorophyll-a concentration, while mitochondrial diversity was also positively associated with sea surface temperature. Our results provide support for the kinetic energy hypothesis, which predicts that elevated mutation rates at higher temperatures increase mitochondrial diversity, and the productivity-diversity hypothesis, which posits that resource-rich regions support larger populations with greater genetic diversity. Overall, these findings reveal how environmental variables can influence mutation rates and drift in the ocean, caution against using mitochondrial macrogenetic patterns as proxies for nuclear DNA, and aid in defining global gradients of genetic diversity.

Metastatic melanoma is a cancer for which vascularization is not a diagnostic criterion. The aim of this study was to evaluate the applicabilities of laser speckle contrast imaging (LSCI) and contrast enhanced ultrasound (CEUS) in a mouse-model. B16F10 cells were xenografted to C57BL/6 mice. Mice were treated with anti-PD1 or 0.9% NaCl and tumor volume was measured daily. CEUS and LSCI were performed weekly. No difference in tumor growth or median survival were observed between treated and no-treaated mice. No significant difference in tumor volume measurement comparing caliper and CEUS was observed. LSCI and CEUS analyses showed a decrease in tumor perfusion in both groups of mice. Although both CEUS and LSCI are useful for measuring tumor volume, LSCI appears to be more robust and effective for monitoring tumor microcirculation. Non-invasive investigations are needed to better predict tumor vascularization: CEUS and LSCI have a good applicability in a mice model.

Aim: The objective of this registry study is to assess the utilization of PGx drugs among patients with CKD Methods: This study was a retrospective study of patients affiliated to the Department of Nephrology, Aalborg University Hospital, Denmark during 2021. Patients diagnosed with CKD were divided into CKD without dialysis and CKD with dialysis. PGx prescription drugs were retrieved from the Patient Administration System. Actionable dosing guidelines (AG) for specific drug-gene pairs for CYP2D6, CYP2C9, CYP2C19 and SLCO1B1were retrieved from the PharmGKB homepage. Results: Out of 1241 individuals, 25.5% were on dialysis. The median number of medications for each patient was 9 within the non-dialysis group, and 16 within the dialysis group. Thirty-one distinct PGx drugs were prescribed. Altogether, 76.0% (943 individuals) were prescribed at least 1 PGx drugs and the prevalence of prescriptions of PGx drugs was higher the dialysis group compared to the non-dialysis group. The most frequently prescribed drugs with AG were metoprolol, pantoprazole, atorvastatin, simvastatin, warfarin. Conclusion: This study demonstrated that a substantial proportion of patients with CKD are exposed to drugs or drug combinations for which there exists actionable dosing guidelines related to PGx of CYP2D6, CYP2C19, CYP2C9, and SLCO1B1.

Natural wetlands are globally threatened, while artificial wetlands such as rice fields are expanding. Rice fields are important habitats for waterbirds, although their ecological role and relevance for conservation remains uncertain. This study employs community and functional ecology analyses to understand how the structure and functions of waterbird communities in rice fields compare to those in other habitats within an agricultural landscape encompassing five habitats: saltpans, lakes, intertidal areas, pastures, and rice fields. Over two years, waterbird counts were conducted every 15 days in these habitats. Non-metric multidimensional scaling (NMDS) was used to compare the composition and functional structure of the waterbird communities. Significant differences in composition and functional structure of the communities among habitats were found throughout the year likely driven by two gradients: a spatial gradient, determined by the presence of permanent water cover, and a temporal gradient, reflecting seasonality throughout the year. Rice fields occupy a central position within these gradients, exhibiting characteristics of both aquatic and terrestrial environments. The composition and functional structure of waterbird communities in rice fields undergoes significant changes throughout the year, presumably in response to environmental fluctuations associated with the annual rice production cycle, with large carnivorous birds prevalent during the rice growing season and herbivorous birds becoming dominant after harvest. In contrast, the other habitats maintain more consistent year-round communities, reflecting their stable environmental conditions. Waterbird communities in rice fields offer significant services in nutrient cycling and pest control, while lakes are more effective in providing services related to herbivory, and intertidal areas as environmental quality sentinels. This study suggests that rice fields play a complementary role to other habitats in the studied landscape, likely acting as a buffer and potentially mitigating the loss of waterbird populations amid the global decline of natural wetlands.

Competition among pollinators for floral resources is a phenomenon of both basic and applied importance. While competition is difficult to measure directly under field conditions, it can be inferred indirectly through the measurement of floral resource depletion. In this study, we conducted a pollinator exclusion experiment to calculate nectar depletion rates in summer across 16 grassland sites in the German regions of Franconia and Saxony-Anhalt. Overall depletion rates were estimated at 95% in Franconia and 79% in Saxony-Anhalt, indicating strong nectar limitation and, by implication, competition among pollinators. Despite being ubiquitous in our study regions, honey bees were scarce at our sites at the time of nectar sampling. This demonstrates that wild pollinators alone are capable of massive nectar depletion, and the addition of managed honey bees to wild pollinator communities may intensify already competitive conditions. Nevertheless, the manifest diversity of the pollinator communities at our sites indicates that other factors, such as non-trophic constraints or temporal variation in food limitation, can mitigate competitive exclusion despite immediate conditions of acute food scarcity.

The autonomous navigation of greenhouse robots depends on precise mapping, accurate localization information and a robust path planning strategy. However, the complex agricultural environment introduces significant challenges to robot perception and path planning. In this study, a hardware system designed exclusively for greenhouse agricultural environments is presented, employing multi-sensor fusion to diminish the interference of complex environmental conditions. Furthermore, a robust autonomous navigation framework based on the improved LeGO-LOAM and OpenPlanner has been proposed. In the perception phase, a relocalization module is integrated into the LeGO-LOAM framework. Comprising two key steps - map matching and filtering optimization, it ensures a more precise pose relocalization. During the path planning process, ground structure and plant density are considered in our Enhanced OpenPlanner. Additionally, a hysteresis strategy is introduced to enhance the stability of system state transitions.The performance of the navigation system in this paper was evaluated in several complex greenhouse environments. The integration of the relocalization module significantly decreases the Absolute Pose Error (APE) in the perception process, resulting in more accurate pose estimation and relocalization information. Moreover, our Enhanced OpenPlanner exhibits the capability to plan safer trajectories and achieve more stable state transitions in the experiments. The results underscore the effectiveness and robustness of our proposed approach, highlighting its promising application prospects in autonomous navigation for agricultural robots.

Scratch tests were done on Si-C-N coatings developed on Si (100) substrates useful for MEMS devices in unconducive environments. The interfacial adhesive strength got manifested in different failure morphologies. The features depicting their chronological failures were analyzed by relating the load-scratch length plots with the scratch track image. The cohesive and adhesive strength were found to be independent to each other with each of them getting manifested in different ways.

Dobutamine stress echocardiography (DSE) is a test recommended for diagnosing coronary artery disease (CAD), which can also assess its severity. MAPSE (M-mode-derived long axis, mitral annular plane systolic excursion) can be used to measure the longitudinal shortening of the Left Ventricle (LV) which plays a major role in the pumping function of the cardiac muscle. For detecting early abnormalities, this parameter appears to be much more sensitive than global EF. Objective: In order to determine whether Delta change MAPSE in Dobutamine stress Echocardiography predicts ischemic heart disease and whether it correlates with coronary artery disease severity in patients with ischemic heart disease. Patients and Methods: This study evaluated 60 patients between April 2020 and July 2021, 30 of whom were ischemic (ischemic group) and 30 of whom were not (normal group). The MAPSE (septal, lateral, anterior, inferior anulus) is measured at each stress echo stage and the Delta MAPSE (Peak MAPSE – rest MAPSE) is calculated. Additionally, the EF is measured using modified Simpson’s method for each stage and the Delta EF (Peak EF – rest EF) is determined. These measurements are then compared between two groups. The severity of coronary artery disease is assessed using the Gensini score (GS). Results: Our study comprised a total of 60 patients, with an average age of 59.5 ± 7.3 years. The male gender was predominant, accounting for 74% of the participants. A notable disparity was observed between the two groups in terms of their diabetic history, which was statistically significant. Specifically, 53% of the patients had diabetes, whereas only 27% of the control group had the condition (p=0.035). There was a statistically significant difference observed between the two groups in terms of Delta MAPSE (p<0.0001). The Delta MAPSE in patients was recorded as -0.54 ± 0.3, whereas in the control groups it was 0.88 ± 0.7. Additionally, a statistically significant difference was found between the two groups based on Delta EF (p=0.012). The Delta EF in patients was measured as 1.5±5.6, while in the control groups, it was 4.8±3.9. There was a significant negative correlation observed between delta MAPSE and Gensini score in the patients’ group (P= 0.0085; r = - 0.47). Conversely, a negative correlation was also observed between delta EF and Gensini score in the patients’ group, although it was not statistically significant (P= .029; r = - 0.2). Conclusion: The reduced MAPSE in dobutamine stress echocardiography (DSE) is an efficient and straightforward quantitative echocardiographic technique that can accurately anticipate both the existence and the extent of coronary artery disease (CAD).

This study firstly employed low dose of peroxydisulfate (PDS) addition coupling with initial pH 10 (PDS&pH10) pretreatment to promote SCFAs production via acidogenic fermentation of iron containing sewage sludge (Fe-sludge). Experimental results showed that the maximal SCFAs yields and acetate proportions of reactors with PDS pre-oxidation were promoted by 1.27 and 1.56 times respectively. Moreover, SCFAs yields of thickened sludge (TS) fermentation were remarkably larger than those of waste activated sludge (WAS) fermentation. The concentration of soluble chemical oxygen demand (SCOD), protein (PN) and polysaccharide (PS) were all increased significantly in these reactors with PDS pre-oxidation, and especially the degree of flocs disintegration was significantly enhanced. Moreover, correlation analysis demonstrated that the SCFAs yields showed highly significant correlation (P<=0.01) with SCOD, total PN, PN-soluble-EPS (SEPS) and significant correlation (P<=0.05) with PS-SEPS and PS-tightly-EPS. Mechanism explorations exhibited that PDS pre-oxidation promoted solubilization of complex substrate and exhibited synergetic effect on effectively hydrolysis promotion by combining with initial pH10 pretreatment. Followingly, acidogenic fermentation was stimulated by the regulated pH and Oxidation-Reduction Potential (ORP) under PDS&pH10 pretreatment. Firmicutes was proved playing key role in improving SCFAs production and especially favoring for acetate promotion by converting additional SCFAs to acetate. Additionally, the metabolic pathway abundance revealed that PDS addition largely promoted the superpathway of sulfur oxidation and iron cycle metabolic activities which contributed to promote the solubilization and enhanced SCFAs production. Finally, the PDS&pH10 pretreatment was roughly estimated to be an economic solution for the Fe-sludge treatment.

Background Due to the high mortality rate of oral squamous cell carcinoma (OSCC), early detection of the disease is critical. Despite previous research on potential diagnostic biomarkers, there is no consensus regarding the role and validity of specific biomarkers for OSCC. Aims The purpose of this study was to explore and verify diagnostic biomarkers for OSCC. Methods and Results mRNA expression data of 57 oral tissues from OSCC patients and 22 from individuals without OSCC was analyzed using a moderated t-test to determine potential biomarkers. Statistical analysis revealed 163 differentially expressed genes between OSCC and normal tissues, 68 of which were upregulated in OSCC tissue. The 11 most significantly upregulated genes were determined to be MMP1, MMP3, MMP10, CXCL10, IL8, CXCL11, MMP12, CXCL9, GBP5, RPS4Y1, and MMP13. Conclusions This study suggests that MMPs are especially promising diagnostic biomarkers and therapeutic targets for OSCC and identifies 68 upregulated genes for further research.

Cancer as a terrible disease ranks among the most important healthcare issues confronting humanity, necessitating a proactive approach to treatment. Numerous signaling cascades are involved in the complex process of carcinogenesis. Despite its success, chemotherapy has had some undesirable side effects. Plants offer a rich source of novel substances and represent an exciting new option for cancer research. Plants and plant-derived products are revolutionizing themselves because they are less poisonous, quicker, cheaper, safer, and simpler than standard treatment procedures. Natural products are viewed as viable candidates for the creation of anticancer medicines because of their pleiotropic effects on target events in a variety of ways. The actions of plant-derived products are selective; they damage cancer cells and have no significant effect on healthy cells. Several researches are being conducted on the production of potential candidates from these plant-derived products that can stop or inhibit cancer cell proliferation without causing adverse effects. Numerous plant-derived products and the analogs from which they were derived have been identified as potential anticancer therapeutic possibilities. In this review, we summarize research on botanical products with significant and active anticancer activity and their anticancer constituents, with a focus on breast cancer. This review sought to highlight the most recent advances and key successes in plant-derived products and cancer therapies focusing on nuclear and cellular structures. Furthermore, cancer drugs and their problems are discussed.

Software engineers have adopted the Dynamic Software Product Lines (DSPL) engineering practices to develop Dynamically Adaptable Software (DAS). DAS is seen as a DSPL application and must cope with a large number of configurations of features, Non-functional Requirements (NFRs), and contexts. However, the accurate representation of the impact of features over NFRs and contexts for the identification of optimal configurations is not a trivial task. Software engineers need to have domain knowledge and design DAS before deploying to satisfy those requirements. Aiming to handle them, we proposed an approach of Trade-off Analysis for DSPL at design-time, named ToffA-DSPL. It deals with the configuration selection process considering interactions between NFRs and contexts. We performed an exploratory study based on simulations to identify the usefulness of the ToffA-DSPL approach. In general, the configurations suggested by ToffA-DSPL provide high satisfaction levels of NFRs. Based on simulations, we evidenced that our approach aims to explore reuse and is useful for generating valid and optimal configurations. In addition, ToffA-DSPL enables software engineers to conduct trade-off analysis, evaluate changes in the context feature, and define an adaptation model from optimal configurations found in the analysis.

The nosocomial bacterium Acinetobacter baumannii is protected from antibiotic treatment by acquiring antibiotic resistances and by forming biofilms. Cell attachment, one of the first steps in biofilm formation, is normally induced by environmental metabolites. We hypothesized that vanillic acid, the oxidized form of vanillin, a widely available metabolite with antimicrobial properties, may play a role in A. baumannii cell attachment. We first discovered that A. baumannii actively breaks down VA through the evolutionarily conserved vanABKP genes. These genes are under the control of the repressor VanR, which we show binds directly to VanR binding sites within the vanABKP genes bidirectional promoter. VA in turn counteracts VanR inhibition. We identified a VanR binding site and searched for it throughout the genome especially in pili encoding promoter genes. We found a VanR binding site in the pilus encoding csu operon promoter and showed that VanR binds specifically to it. As expected, a strain lacking VanR overproduces Csu pili and makes robust biofilms. Our study uncovers the role that VA plays in facilitating the attachment of A. baumannii cells to surfaces, a crucial step in biofilm formation. These findings provide valuable insights into a previously obscure catabolic pathway with significant clinical implications.

Radiation mutation breeding is an important method for obtaining new crop varieties. In radiation mutation breeding research, the dose effect of radiation has long been a topic of concern. However, the molecular mechanism behind the dose effect is still unclear. Through analyzing the transcriptome and proteome of M1 generation pea (Pisum sativum L.) leaves, we discovered several important rules and molecular mechanisms. We found three important rules of global gene expression in the studied dose range. One of them was closely related to the neutron absorbed dose: the greater the difference in neutron absorbed dose between two radiation treatment groups, the greater the difference in differential expression between the two groups and the control group. We also obtained important sensitive metabolic pathways of neutron radiation, as well as related key genes. Furthermore, the overall molecular regulation mechanism of dose effect was further revealed based on the main functional items obtained. Our research not only explains the molecular mechanisms of the neutron radiation dose effect on M1 generation peas, but also investigates the related metabolic pathways and genes. The research results can be applied to appropriate radiation dose estimation and agricultural production practice.

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Case Report

Most dioecious plants are trees. However, because of the difficulty in determining sex from vegetative morphology, previous investigations of the sex ratios of dioecious trees were limited to flowering individuals, leading to inadequate and potentially unreliable data on patterns of sex ratios and the underlying mechanisms driving their variation. Here, we applied sex-specific molecular markers to investigate the sex ratio of a fully mapped population of the dioecious tree Diospyros morrisiana (Ebenaceae) in a subtropical forest. We also investigated the sexual dimorphism of life-history traits and spatial association between male and female trees to determine potential processes shaping the sex ratio at different life stages. Molecular sexing revealed a female-biased population sex ratio for this D. morrisiana population, contrasting with the male-biased operational (i.e., flowering) sex ratio. The sex ratio of D. morrisiana shifted from female-biased to male-biased over older life stages. We found that reproduction had a larger impact on the growth of female trees, which may account for the ontogenetic shift in sex ratio. There was no evidence of spatial segregation of the sexes beyond a scale of 2 m. Through molecular sexing of all individuals across all life stages, our work revealed for the first time a shift from a female- to a male-biased sex ratio in a huge population of a dioecious tree species. To better understand variation in sex ratios and the underlying mechanisms in dioecious trees, the sex of non-flowering and juvenile individuals should be included in future studies.

Background: Retrosternal goiters (RGs) pose several challenges to head and neck surgeons because of the intricate anatomical relationships with major vessels and other mediastinal structures. Methods: A scoping review of the last five years in the PubMed database was conducted and a total of 105 articles were discussed, along with methodological issues and future directions in the research on RGs. Results: The surgical excision of RGs may be accomplished by standard transcervical approach in the vast majority of cases, yet the potential need for a transthoracic approach must be always kept in mind. Great expertise in referral centers is required to maintain an acceptable rate of postoperative complications, and a thorough diagnostic work-up is mandatory. Several non-surgical treatments in addition to mini-invasive approaches have been proposed for RGs. Conclusions: RGs require a multidisciplinary thyroid team in order to eventually minimize the risk of complications and avoid extracervical approaches.

“Coexistence frontiers”, or regions where human infrastructure and activity are increasing rapidly or newly appearing, constitute novel environments where wildlife must learn to navigate and coexist with people. It is widely recognized that behaviorally flexible species are more likely to persist in these human-dominated landscapes. Nevertheless, we do not fully understand how these animals navigate landscapes shaped by infrastructure, human activity, and human tolerance. As a widely reviled and behaviorally plastic apex predator, the spotted hyena (Crocuta crocuta) is a model species for understanding how wide-ranging large carnivores navigate social-ecological landscapes in an urbanizing world. Using high-resolution (minimum 5-min fix rates) GPS collar data and supplemental camera trap imagery, we applied resource selection and step selection functions to assess spotted hyena landscape navigation and fine-scale movement decisions in relation to social-ecological features in Lake Nakuru National Park and Soysambu Conservancy, Kenya. Second, we used camera traps and barrier behavior analysis (BaBA) to further examine hyena interactions with barriers. Our results show that environmental covariates—including NDVI, terrain, and proximity to water—were the best predictors of landscape-scale resource selection by hyenas, while human infrastructure and the likelihood of conflict with humans or livestock predicted fine-scale hyena movement decisions. We also found that hyena selection for these characteristics changed seasonally and across land management types. Camera traps documented an exceptionally high number of individual spotted hyenas (234) approaching the national park fence at 16 sites during the study period, and BaBA results suggested that hyenas perceive protected area boundaries’ electric fences as risky but may cross them out of necessity. Our results highlight that wildlife adaptability in coexistence frontiers may be expressed differently depending on context and scale. These results also point to the need to incorporate societal factors into multiscale analyses of carnivore movement to effectively plan for human-carnivore coexistence.

RATIONALE: A general N-glycoproteomics analysis pipeline has been established for characterization of mutation-related gain-of-glycosylation (GoG) at intact N-glycopeptide molecular level, generating comprehensive site and structure information of N-glycosylation. METHODS: This study focus on mutation-originated gain-of-glycosylation using mass spectrometry-based N-glycoproteomics analysis workflow. In brief, GoG intact N-glycopeptide databases were built, consisting of 2,701 proteins (potential GoG N-glycosites and amino acids derived from MUTAGEN, VARIANT and VAR_SEQ in UniProt) and 6,709 human N-glycans (≤50 sequence isomers per monosaccharide composition). We employed the site- and structure-specific N-glycoproteomics workflow utilizing intact N-glycopeptides search engine GPSeeker to identify GoG intact N-glycopeptides from parental breast cancer stem cells (MCF-7 CSCs) and adriamycin-resistant breast cancer stem cells (MCF-7/ADR CSCs). RESULTS: With the criteria of spectrum-level FDR control of ≤1%, we identified 88 and 96 GoG intact N-glycopeptides corresponding to 38 and 36 intact N-glycoproteins from MCF-7 CSCs and MCF-7/ADR CSCs, respectively. Among KEGG annotation of GoG N-glycoproteins, DNA polymerase eta (POLH), serine-protein kinase ATM (ATM) and cellular tumor antigen p53 (P53) were enriched in platinum drug resistance signal pathway. ATM, P53 and G2 and S phase-expressed protein 1 (GTSE1) were associated with p53 signaling pathway. CONCLUSIONS: The integration of site- and structure-specific N-glycoproteomics approach, conjugating with GoG characterization, provides a universal workflow for revealing comprehensive N-glycosite and N-glycan structure information of gain-of-glycosylation. The analysis of mutation-originated gain-of glycosylation can be extended GoG characterization to all the other N-glycoproteome systems including complex clinical tissues and body fluids.

Pediatric posterior fossa tumors (PFTs) are successfully treated in approximately 70% of patients. However, most survivors experience long-term working memory impairment. The present study examined whether the parameters of diffusion MRI tractography could serve as working memory impairment biomarkers in 60 pediatric PFT survivors. Participants were at least 5 years post-treatment and had received treatment appropriate for their age and type of tumor. Groups included irradiated PFT had undergone radiotherapy, nonirradiated PFT had not, and age, sex, and handedness-matched healthy controls. All participants underwent a cognitive assessment and multimodal MRI including a diffusion MRI sequence. We combined fMRI data collected from the Human Connectome Project database with the acquired diffusion MRI data, to extract the working memory tract and determine tractography parameters for quantitative insights. Participants in the irradiated PFT group exhibited reduced tract volume, fiber density, fiber connectivity, mean length of streamlines, and number of streamlines, compared with both nonirradiated PFT and control groups. Participants in the nonirradiated PFT group also exhibited reduced fiber density, number of streamlines, and mean curvature of streamlines, compared with controls. Poorer working memory scores for the irradiated PFT group correlated with lower tract volume, fiber density, and number of streamlines for verbal working memory. Additionally, these lower scores correlated with reduced fiber density, mean length of streamlines, and number of streamlines for visual working memory. These tractography parameters could serve as biomarkers of working memory deficits and shed light on the detrimental impact of radiotherapy on the working memory tract.

Biosensors are an integral part of medical diagnostics. The materials, as well as the structural makeup used in these devices, are being upgraded through various solid-state processes, chemical processes, and micro-machining techniques. The material porous Silicon (PSi) has biosensing capabilities that can cause immobility of the attached biomolecules in its pores. The variation in porosity with current density was presented and related to the different etched stages of the silicon surface. PSi is a novel patterned cantilever MEMS resonator membrane that can be utilized for high-precision biosensing. Finite element modeling shows the strain distribution in the novel design. A theoretical base of the coupled oscillations in the sensors for the difference in dimension separation and absorbance was given.

Hydration plays a crucial role in the refolding of intrinsically disordered proteins into amyloid fibrils; however, the specific interactions between water and protein that may contribute to this process are still unknown. In our previous studies of alpha-synuclein (aSyn), we have shown that waters confined in fibril cavities are stabilizing features of this pathological fold; and that amino acids that hydrogen bond with these confined waters modulate primary and seeded aggregation. Here, we extend our aSyn molecular dynamics (MD) simulations with three new polymorphs and correlate MD trajectory information with known post-translational modifications (PTMs) and experimental data. Interestingly, we show that amino acids in cavities are more stably hydrated and more evolutionarily conserved than residues that are outside of cavities. Furthermore, amino acids in cavities that are post-translational modification sites have on average the longest protein-water hydrogen bond lifetimes (HBL). Utilizing the deep mutational screen dataset by Newberry et. al. and the Thioflavin T aggregation review by Pancoe et. al. parsed using a fibril cavity/non-cavity definition, we show that hydrophobic changes to amino acids in cavities have a larger effect on fitness and aggregation rate than residues outside cavities, supporting our hypothesis that these sites are involved in the inhibition of aSyn toxic fibrillization. Finally, we expand our study to include analysis of fibril structures of tau, FUS, TDP-43, prion, and hnRNPA1; all of which contained hydrated cavities, with tau, FUS and TDP-43 recapitulating our PTM results in aSyn fibril cavities.

Air-leak syndrome (ALS) is an independent poor prognosis factor among adult patients who have received hematopoietic stem cell transplantation (HSCT), which 5-year overall survival (OS) is less than 30%. However, the clinical features of ALS among post-transplant pediatric patients have rarely been explored.We retrospectively reviewed 2,206 pediatric patients who received an allo-HSCT between January 2013 and December 2019 at the Hebei Yanda Lu Daopei Hospital and analyzed the role of ALS in their prognosis following HSCT.We divided ALS into two categories: 15 cases of bronchiolitis obliterans syndrome (BOS) and 13 cases of idiopathic pneumonia syndrome (IPS).Following treatment of the ALS, 18 patients survived (18/28, 64.3%) and 10 patients died of respiratory failure or infection (10/28, 35.7%). The OS of ALS in our hospital is significantly higher than that cited in previous reports which may be related to early diagnosis and timely FAM treatment.