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Probing SARS-CoV-2 membrane binding peptide via single-molecule AFM-based force spectroscopy

Nature Communications Qingrong Zhang, Raissa S. L. Rosa, Ankita Ray et al. Jan 02, 2025 DOI: 10.1038/s41467-024-55358-9

AbstractThe SARS-CoV-2 spike protein’s membrane-binding domain bridges the viral and host cell membrane, a critical step in triggering membrane fusion. Here, we investigate how the SARS-CoV-2 spike protein interacts with host cell membranes, focusing on a membrane-binding peptide (MBP) located near the TMPRSS2 cleavage site. Through in vitro and computational studies, we examine both primed (TMPRSS2-cleaved) and unprimed versions of the MBP, as well as the influence of its conserved disulfide bridge on membrane binding. Our results show that the MBP preferentially associates with cholesterol-rich membranes, and we find that cholesterol depletion significantly reduces viral infectivity. Furthermore, we observe that the disulfide bridge stabilizes the MBP’s interaction with the membrane, suggesting a structural role in viral entry. Together, these findings highlight the importance of membrane composition and peptide structure in SARS-CoV-2 infectivity and suggest that targeting the disulfide bridge could provide a therapeutic strategy against infection.

An Extenics-TRIZ integrated RFPS model for different object of design requirements

PLoS ONE Fangzhi Gui, Jing Zhou, Xiangdong Sun et al. Jan 02, 2025 DOI: 10.1371/journal.pone.0316138

Extending product life is one of the effective ways to reduce the waste of resources. However, many unsatisfactory products are scrapped because of a lack of adequate performance. The product should be improved and upgraded innovatively, and the existing upgradable products may create more economic benefits for the longer product life cycles. This paper proposed a product innovative design and product upgrade employing an Extenics-TRIZ Integrated requirement-function-principle-structure (RFPS) model, which aims at complex requirement flexibility with easy-to-use design process when the product needs a redesign. Here, the requirement flexibility refers to the ability of a design object to adapt its design levels. There are two design strategies: the extension analysis methods are utilized to map the top-level requirements to functions, principles, and structures requirements, and then the TRIZ is used to handle the design problems according to the objects on different levels. This design knowledge is summarized as RFPS, and it can be reused in computer-aided innovation further. A case study for a cutting table is illustrated to the innovation and upgrade, and it indicates the effectiveness for designers to implement the design methodology.

Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning

Scientific Reports Navita, Pooja Mittal, Yogesh Kumar Sharma et al. Jan 02, 2025 DOI: 10.1038/s41598-024-83357-9

Impact of epinephrine on neurological outcomes in out-of-hospital cardiac arrest after automated external defibrillator use in Japan

Scientific Reports Atsushi Kubo, Atsushi Hiraide, Tomohiro Shinozaki et al. Jan 02, 2025 DOI: 10.1038/s41598-024-84950-8

Immunoassay detection of multiphosphorylated tau proteoforms as cerebrospinal fluid and plasma Alzheimer’s disease biomarkers

Nature Communications Anna L. Wojdała, Giovanni Bellomo, Lorenzo Gaetani et al. Jan 02, 2025 DOI: 10.1038/s41467-024-54878-8

Predicting noncontact injuries of professional football players using machine learning

PLoS ONE Diogo Nuno Freitas, Sheikh Shanawaz Mostafa, Romualdo Caldeira et al. Jan 02, 2025 DOI: 10.1371/journal.pone.0315481

Noncontact injuries are prevalent among professional football players. Yet, most research on this topic is retrospective, focusing solely on statistical correlations between Global Positioning System (GPS) metrics and injury occurrence, overlooking the multifactorial nature of injuries. This study introduces an automated injury identification and prediction approach using machine learning, leveraging GPS data and player-specific parameters. A sample of 34 male professional players from a Portuguese first-division team was analyzed, combining GPS data from Catapult receivers with descriptive variables for machine learning models—Support Vector Machines (SVMs), Feedforward Neural Networks (FNNs), and Adaptive Boosting (AdaBoost)—to predict injuries. These models, particularly the SVMs with cost-sensitive learning, showed high accuracy in detecting injury events, achieving a sensitivity of 71.43%, specificity of 74.19%, and overall accuracy of 74.22%. Key predictive factors included the player’s position, session type, player load, velocity and acceleration. The developed models are notable for their balanced sensitivity and specificity, efficiency without extensive manual data collection, and capability to predict injuries for short time frames. These advancements will aid coaching staff in identifying high-risk players, optimizing team performance, and reducing rehabilitation costs.

Choice of props for courtship dancing in estrildid finches

Scientific Reports Masayo Soma, Misaki Nakatani, Nao Ota Jan 02, 2025 DOI: 10.1038/s41598-024-81419-6

Key factors in coastal village’s street planning for marine climate adaptation

Scientific Reports Yuan Zheng, Feng Liang, Bifeng Zhu et al. Jan 02, 2025 DOI: 10.1038/s41598-024-84513-x

Generation of perthiyl radicals for the synthesis of unsymmetric disulfides

Nature Communications Fei Zhou, Xiaochun He, Mi Zhou et al. Jan 02, 2025 DOI: 10.1038/s41467-024-55310-x

It’s dark under the lamp? The moderating role of executives’ accounting competence on relationship between goodwill impairment signal and goodwill impairment

PLoS ONE Qiandan Deng Jan 02, 2025 DOI: 10.1371/journal.pone.0316623

This study examines the influence of executives’ accounting competence on relationship between goodwill impairment signal and goodwill impairment, considering the perspective of performance compensation commitment. The research employs an empirical research method and utilizes a sample of A-share listed companies in China that have signed performance compensation commitment agreements from 2007 to 2022. I found that the executives’ accounting competence weakens the relationship between goodwill impairment signal and goodwill impairment. The stronger the executives’ accounting competence is, the weaker the goodwill impairment signal is, that is, the probability of the goodwill impairment is lower and the scale of goodwill impairment is smaller. Further research shows that the negative effect of executives’ accounting competence is more significant when the performance compensation commitment of the target assets is between 80% and 100%. Through heterogeneity analysis, it is found that the negative effect of executives’ accounting competence will be suppressed when the sample is in the period of equity incentive or the auditor audits the key issues of goodwill impairment. The research in this paper not only enriches the relevant literature on the characteristics of executives, but also discusses the subsequent measurement of goodwill, which is also conducive to promoting the formulation of accounting standards and assisting the supervision of capital markets, and has important theoretical and practical significance.

Peroxiredoxin 6 maintains mitochondrial homeostasis and promotes tumor progression through ROS/JNK/p38 MAPK signaling pathway in multiple myeloma

Scientific Reports Dandan Gao, Yang Lv, Fei Hong et al. Jan 02, 2025 DOI: 10.1038/s41598-024-84021-y

Patella height ratios diagnose the same healthy knees differently

Scientific Reports Martinique Vella-Baldacchino, Alessandra Cipolla, Zahid Asghar et al. Jan 02, 2025 DOI: 10.1038/s41598-024-83663-2

Abstract Our study aims to investigate if the ratios proposed by Insall-Salvati and Caton-Deschamps follow the theory of normal distribution levels in a healthy population. 434 skeletal mature, healthy knees were obtained from a CT-scan-based modelling system (SOMA). Patellae height ratios were measured using the Insall-Salvati ratio and the Caton-Deschamps index. The patella height ratios of the sample population were plotted on a quantile plot and diagnosed as patella alta, baja or normal using the original ratio definitions. The study population patella height values at the 95th, 98th and 5th centiles were identified and compared to those described as alta or baja by Insall-Salvati and Caton-Deschamps. This meant that if the patient had patella alta, this would be defined as a ratio of ≥ 1.2 and hypothesised that this would align at the 98th centile of the study population, whilst if diagnosed as patella baja (≤ 0.74), this should align at the 5th centile of the population. The inter-rater reliability of both ratios was calculated using kappa statistics. Two authors made all calculations and compared them for consistency using the intraclass correlation coefficient. For the Insall-Salvati ratio, the study population’s value at the 98th centile was equivalent to what Insall-Salvati describes as alta, a ratio of ≥ 1.2. In the study population, patients are overdiagnosed if using the Insall-Salvati ratio as patella baja ≤ 0.74, as the value at the 5th centile in the study population was 0.59. Using the Caton-Deschamps index, the 95th centile was 1.3, higher than the patella alta ratio determined by Caton as a ratio ≥ 1.2. Using Caton-Deschamps, patients are being underdiagnosed if utilising a patella baja ratio of ≤ 0.6. In our population, the 5th centile was 0.75. The two ratios had a kappa coefficient of 0.01, which indicates poor inter-rater reliability. Depending on the ratio used, caton-Deschamps and Insall-Salvati ratios diagnose patients as alta or baja differently. The current patella height ratios have originated from very small, select population samples. The future of patella height discussion should begin with data representing large populations. Then, we can discuss the upper and lower limits of abnormality.

Degradation bottlenecks and resource competition in transiently and stably engineered mammalian cells

Nature Communications Jacopo Gabrielli, Roberto Di Blasi, Cleo Kontoravdi et al. Jan 02, 2025 DOI: 10.1038/s41467-024-55311-w

Abstract Degradation tags, otherwise known as degrons, are portable sequences that can be used to alter protein stability. Here, we report that degron-tagged proteins compete for cellular degradation resources in engineered mammalian cells leading to coupling of the degradation rates of otherwise independently expressed proteins when constitutively targeted human degrons are adopted. We show the effect of this competition to be dependent on the context of the degrons. By considering different proteins, degron position and cellular hosts, we highlight how the impact of the degron on both degradation strength and resource coupling changes, with identification of orthogonal combinations. By adopting inducible bacterial and plant degrons we also highlight how controlled uncoupling of synthetic construct degradation from the native machinery can be achieved. We then build a genomically integrated capacity monitor tagged with different degrons and confirm resource competition between genomic and transiently expressed DNA constructs. This work expands the characterisation of resource competition in engineered mammalian cells to protein degradation also including integrated systems, providing a framework for the optimisation of heterologous expression systems to advance applications in fundamental and applied biological research.

Development and validation of trigger tools in primary care: A scoping review

PLoS ONE Inge Dhamanti, Elida Zairina, Ida Nurhaida et al. Jan 02, 2025 DOI: 10.1371/journal.pone.0308906

In primary care, trigger tools have been utilized to evaluate and identify patient safety events. The use of trigger tools could help clinicians and patients detect adverse events in a patient’s medical record. Due to a lack of research on the process development of trigger tools in primary care, the purpose of this scoping review is to investigate the trigger development and validation process in primary care settings. A scoping review methodology was used to map the published literature using the Joanna Briggs Methodology of performing scoping review. We considered only studies published in English in the last five years and included both qualitative and quantitative study designs. The final review included five articles. The primary care and combined primary-secondary care studies are included to gain more knowledge in the process development and validation of trigger tools. The trigger tool development process begins with clearly defining the triggers, which are then programmed into a combined computerized algorithm. The validation process was then carried out in two steps by both physician and non-physician experts for content and concurrent validity. The sensitivity, specificity, and positive predictive value (PPV) of the final algorithm were critical in determining the validity of each trigger. This study provided a comprehensive guide to developing trigger tools, emphasizing the importance of precisely defining triggers through a thorough literature review and dual validation process. There were similarities in the development and validation of trigger tools across primary care and hospital settings, allowing primary care to learn from hospital settings.

A novel electrochemical sensor for the determination of cadmium ions based on nitrogen-enriched carbon modified electrode

Scientific Reports S. Ghrkhlari, Fatemeh Ahour, S. Keshipour Jan 02, 2025 DOI: 10.1038/s41598-024-84185-7

Development and construction of a portable wind tunnel for investigating wind erosion through the application of photogrammetry techniques

Scientific Reports Noredin Rostami, Maryam Rabbani, Saman Esmaeilbeigi et al. Jan 02, 2025 DOI: 10.1038/s41598-024-84496-9

AbstractClimate change is one of the most crucial issues in human society such that if it is not given sufficient attention, it can become a great threat to both humans and the Earth. Due to global warming, soil erosion is increasing in different regions. Therefore, this issue will require further investigation and the use of new tools. In this paper, a portable wind tunnel was designed and built for wind erosion studies using photogrammetry, which is a novel technique. This instrument consists of a working section, a fan, a portable voltage source inverter to control its angular speed, and a honeycomb to straighten the air flow in the working section. The eroded volume of soil is measured using photogrammetry by producing two 3D models and point clouds before and after the soil erosion test and calculating their volume changes. The results show that a 0.175 mm check distance precision is achievable under convergent imaging and with sufficient number of accurate control points which this value indicates the discrepancy between the anticipated and measured lengths of all the check distances. In addition, the features of this portable wind tunnel guarantee its easy portability, and its transparency enables the measurement of the threshold friction velocity. Additionally, this instrument, as an invention, has been registered at the Intellectual Property Center of Iran.

Dynamic representation of appetitive and aversive stimuli in nucleus accumbens shell D1- and D2-medium spiny neurons

Nature Communications Ana Verónica Domingues, Tawan T. A. Carvalho, Gabriela J. Martins et al. Jan 02, 2025 DOI: 10.1038/s41467-024-55269-9

The Scania Accelerated Intermittent Theta-burst Implementation Study (SATIS)–Lessons from an accelerated treatment protocol

PLoS ONE Marcus Persson, Viktor Fabri, Alexander Reijbrandt et al. Jan 02, 2025 DOI: 10.1371/journal.pone.0316339

Background and objective The Scania Accelerated Intermittent Theta-burst Implementation Study (SATIS) aimed to investigate the tolerability, preliminary effectiveness, and practical feasibility of an accelerated intermittent theta burst stimulation (aTBS) protocol in treating depression. Methods We used an open-label observational design, recruiting 20 patients (aged 19–84 years) from two public brain stimulation centers in Sweden. During the five-day treatment period and at a follow-up visit after 30 days we closely monitored adverse events and collected self-rated side effect data. Objective (MADRS, CGI) and subjective (MADRS-S) measures of symptoms and functioning (EQ-5D) were also assessed. Feasibility was evaluated using direct patient ratings combined with a qualitative approach evaluating staff experience. Results All patients reported adverse events at some point, the most common being headache (18/20 patients), but they were generally transient. MADRS scores decreased from 28.4 (min = 17, max = 38. SD = 6.9) at baseline to 20.0 (min = 1, max = 42. SD = 11.6) after the last day of treatment. 25% (n = 5) met the response criteria, with a mean time to response of 2.2 days (min = 1, max = 3. SD = 1.1). The practical arrangements surrounding this new treatment proved challenging for the organization, but patients reported few practical problems. Conclusion SATIS provided further insights into the potential benefits and challenges associated with aTBS protocols. Effectiveness and drop-out rates were comparable to national data of conventional iTBS, but with a markedly faster time to response. More resources were required than anticipated, increasing the clinical workload.

A lightweight weed detection model for cotton fields based on an improved YOLOv8n

Scientific Reports Jun Wang, Zhengyuan Qi, Yanlong Wang et al. Jan 02, 2025 DOI: 10.1038/s41598-024-84748-8

Optimization, characterization, and GC-MS analysis of recycled used engine oil by solvents and adsorbent extraction

Scientific Reports Negasa Abdena Alemu, Ramesh Babu Nallamothu, Getachew Alemayehu Lakew Jan 02, 2025 DOI: 10.1038/s41598-024-84132-6