bluuebunny/crossref_metadata_2025_split huggingface dataset:
Light People: Professor Liangcai Cao
Authors: Sun Tingting 
Published: June 2023

EditorialHolography utilizes the principles of wave interference and diffraction to record and reconstruct images, which can highly restore the three-dimensional features of objects and provide an immersive visual experience. Dennis Gabor proposed the concept of holography in 1947 and was awarded the Nobel Prize in Physics in 1971. Holography has gradually developed into two major research directions: digital holography (DH) and computer-generated holography (CGH). Holography has empowered the development of fields such as 6G communication, intelligent healthcare, and commercial MR headsets. In recent years, the general solution to optical inverse problems contained in holography also provides theoretical support for its wide integration with computational lithography, optical metamaterials, optical neural networks, orbital angular momentum (OAM), and other areas. This demonstrates its enormous potential for research and application. We are delighted to invite Professor Liangcai Cao from Tsinghua University, a leading scientist in the field of holography, to give us a profound interpretation of the opportunities and challenges of holography. In the interview, Prof. Cao will take us on a journey through the history of holography, share fascinating stories from his academic visits and exchanges, and shed light on the mentor and tutor culture in teaching. Through this episode of “Light People,” we will have the privilege of getting to know Prof. Cao on a deeper level.
CNTNAP2 intracellular domain (CICD) generated by γ-secretase cleavage improves autism-related behaviors
Authors: Zhang Jing , Cai Fang , Lu Renbin , Xing Xiaoliang , Xu Lu , Wu Kunyang , Gong Zishan , Zhang Qing , Zhang Yun , Xing Mengen , Song Weihong , Li Jia-Da 
Published: June 2023

AbstractAs the most prevalent neurodevelopmental disorders in children, autism spectrum disorders (ASD) are characterized by deficits in language development, social interaction, and repetitive behaviors or inflexible interests. Contactin associated protein like 2 (CNTNAP2), encoding a single transmembrane protein (CNTNAP2) with 1331 amino acid residues, is a widely validated ASD-susceptible gene. Cntnap2-deficient mice also show core autism-relevant behaviors, including the social deficits and repetitive behavior. However, the cellular mechanisms underlying dysfunction CNTNAP2 and ASD remain elusive. In this study, we found a motif within the transmembrane domain of CNTNAP2 was highly homologous to the γ-secretase cleavage site of amyloid-β precursor protein (APP), suggesting that CNTNAP2 may undergo proteolytic cleavage. Further biochemical analysis indicated that CNTNAP2 is cleaved by γ-secretase to produce the CNTNAP2 intracellular domain (CICD). Virally delivery of CICD to the medial prefrontal cortex (mPFC) in Cntnap2-deficient (Cntnap2−/−) mice normalized the deficit in the ASD-related behaviors, including social deficit and repetitive behaviors. Furthermore, CICD promoted the nuclear translocation of calcium/calmodulin-dependent serine protein kinase (CASK) to regulate the transcription of genes, such as Prader Willi syndrome gene Necdin. Whereas Necdin deficiency led to reduced social interaction in mice, virally expression of Necdin in the mPFC normalized the deficit in social preference of Cntnap2−/− mice. Our results thus reveal a critical function of CICD and highlight a role of the CNTNAP2-CASK-Necdin signaling pathway in ASD.
Radiochemistry for positron emission tomography
Authors: Rong Jian , Haider Achi , Jeppesen Troels E. , Josephson Lee , Liang Steven H. 
Published: June 2023

AbstractPositron emission tomography (PET) constitutes a functional imaging technique that is harnessed to probe biological processes in vivo. PET imaging has been used to diagnose and monitor the progression of diseases, as well as to facilitate drug development efforts at both preclinical and clinical stages. The wide applications and rapid development of PET have ultimately led to an increasing demand for new methods in radiochemistry, with the aim to expand the scope of synthons amenable for radiolabeling. In this work, we provide an overview of commonly used chemical transformations for the syntheses of PET tracers in all aspects of radiochemistry, thereby highlighting recent breakthrough discoveries and contemporary challenges in the field. We discuss the use of biologicals for PET imaging and highlight general examples of successful probe discoveries for molecular imaging with PET – with a particular focus on translational and scalable radiochemistry concepts that have been entered to clinical use.
Pathogen-specific innate immune response patterns are distinctly affected by genetic diversity
Authors: Häder Antje , Schäuble Sascha , Gehlen Jan , Thielemann Nadja , Buerfent Benedikt C. , Schüller Vitalia , Hess Timo , Wolf Thomas , Schröder Julia , Weber Michael , Hünniger Kerstin , Löffler Jürgen , Vylkova Slavena , Panagiotou Gianni , Schumacher Johannes , Kurzai Oliver 
Published: June 2023

AbstractInnate immune responses vary by pathogen and host genetics. We analyze quantitative trait loci (eQTLs) and transcriptomes of monocytes from 215 individuals stimulated by fungal, Gram-negative or Gram-positive bacterial pathogens. We identify conserved monocyte responses to bacterial pathogens and a distinct antifungal response. These include 745 response eQTLs (reQTLs) and corresponding genes with pathogen-specific effects, which we find first in samples of male donors and subsequently confirm for selected reQTLs in females. reQTLs affect predominantly upregulated genes that regulate immune response via e.g., NOD-like, C-type lectin, Toll-like and complement receptor-signaling pathways. Hence, reQTLs provide a functional explanation for individual differences in innate response patterns. Our identified reQTLs are also associated with cancer, autoimmunity, inflammatory and infectious diseases as shown by external genome-wide association studies. Thus, reQTLs help to explain interindividual variation in immune response to infection and provide candidate genes for variants associated with a range of diseases.
Characterization of diffusing sub-10 nm nano-objects using single anti-resonant element optical fibers
Authors: Wieduwilt Torsten , Förster Ronny , Nissen Mona , Kobelke Jens , Schmidt Markus A. 
Published: June 2023

AbstractAccurate characterization of diffusing nanoscale species is increasingly important for revealing processes at the nanoscale, with fiber-assisted nanoparticle-tracking-analysis representing a new and promising approach in this field. In this work, we uncover the potential of this approach for the characterization of very small nanoparticles (<20 nm) through experimental studies, statistical analysis and the employment of a sophisticated fiber and chip design. The central results is the characterization of diffusing nanoparticles as small as 9 nm with record-high precision, corresponding to the smallest diameter yet determined for an individual nanoparticle with nanoparticle-tracking-analysis using elastic light scattering alone. Here, the detectable scattering cross-section is limited only by the background scattering of the ultrapure water, thus reaching the fundamental limit of Nanoparticle-Tracking-Analysis in general. The obtained results outperform other realizations and allow access to previously difficult to address application fields such as understanding nanoparticle growth or control of pharmaceuticals.
Validating neural networks for spectroscopic classification on a universal synthetic dataset
Authors: Schuetzke Jan , Szymanski Nathan J. , Reischl Markus 
Published: June 2023

AbstractTo aid the development of machine learning models for automated spectroscopic data classification, we created a universal synthetic dataset for the validation of their performance. The dataset mimics the characteristic appearance of experimental measurements from techniques such as X-ray diffraction, nuclear magnetic resonance, and Raman spectroscopy among others. We applied eight neural network architectures to classify artificial spectra, evaluating their ability to handle common experimental artifacts. While all models achieved over 98% accuracy on the synthetic dataset, misclassifications occurred when spectra had overlapping peaks or intensities. We found that non-linear activation functions, specifically ReLU in the fully-connected layers, were crucial for distinguishing between these classes, while adding more sophisticated components, such as residual blocks or normalization layers, provided no performance benefit. Based on these findings, we summarize key design principles for neural networks in spectroscopic data classification and publicly share all scripts used in this study.
Distinct cortical and subcortical predictors of Purdue Pegboard decline in Parkinson’s disease and atypical parkinsonism
Authors: Wilkes Bradley J. , Tobin Emily R. , Arpin David J. , Wang Wei-en , Okun Michael S. , Jaffee Michael S. , McFarland Nikolaus R. , Corcos Daniel M. , Vaillancourt David E. 
Published: June 2023

AbstractObjective measures of disease progression are critically needed in research on Parkinson’s disease (PD) and atypical Parkinsonism but may be hindered by both practicality and cost. The Purdue Pegboard Test (PPT) is objective, has high test-retest reliability, and has a low cost. The goals of this study were to determine: (1) longitudinal changes in PPT in a multisite cohort of patients with PD, atypical Parkinsonism, and healthy controls; (2) whether PPT performance reflects brain pathology revealed by neuroimaging; (3) quantify kinematic deficits shown by PD patients during PPT. Parkinsonian patients showed a decline in PPT performance that correlated with motor symptom progression, which was not seen in controls. Neuroimaging measures from basal ganglia were significant predictors of PPT performance in PD, whereas cortical, basal ganglia, and cerebellar regions were predictors for atypical Parkinsonism. Accelerometry in a subset of PD patients showed a diminished range of acceleration and irregular patterns of acceleration, which correlated with PPT scores.
Association of women-specific health factors in the severity of Parkinson’s disease
Authors: Rao Shilpa C. , Li Yadi , Lapin Brittany , Pattipati Sreya , Ghosh Galvelis Kamalini , Naito Anna , Gutierrez Nicolas , Leal Thiago Peixoto , Salim Amira , Salles Philippe A. , De Leon Maria , Mata Ignacio F. 
Published: June 2023

AbstractParkinson’s disease (PD) is an age-related neurological disorder known for the observational differences in its risk, progression, and severity between men and women. While estrogen has been considered to be a protective factor in the development of PD, there is little known about the role that fluctuations in hormones and immune responses from sex-specific health experiences have in the disease’s development and severity. We sought to identify women-specific health experiences associated with PD severity, after adjusting for known PD factors, by developing and distributing a women-specific questionnaire across the United States and creating multivariable models for PD severity. We created a questionnaire that addresses women’s specific experiences and their PD clinical history and deployed it through The Parkinson’s Foundation: PD Generation. To determine the association between women-specific health factors and PD severity, we constructed multivariable logistic regression models based on the MDS-UPDRS scale and the participants’ questionnaire responses, genetics, and clinical data. For our initial launch in November 2021, we had 304 complete responses from PD GENEration. Univariate and multivariate logistic modeling found significant associations between major depressive disorder, perinatal depression, natural childbirth, LRRK2 genotype, B12 deficiency, total hysterectomy, and increased PD severity. This study is a nationally available questionnaire for women’s health and PD. It shifts the paradigm in understanding PD etiology and acknowledging how sex-specific experiences may contribute to PD severity. In addition, the work in this study sets the foundation for future research to investigate the factors behind sex differences in PD.
‘Multi-omics’ data integration: applications in probiotics studies
Authors: Kwoji Iliya Dauda , Aiyegoro Olayinka Ayobami , Okpeku Moses , Adeleke Matthew Adekunle 
Published: June 2023

AbstractThe concept of probiotics is witnessing increasing attention due to its benefits in influencing the host microbiome and the modulation of host immunity through the strengthening of the gut barrier and stimulation of antibodies. These benefits, combined with the need for improved nutraceuticals, have resulted in the extensive characterization of probiotics leading to an outburst of data generated using several ‘omics’ technologies. The recent development in system biology approaches to microbial science is paving the way for integrating data generated from different omics techniques for understanding the flow of molecular information from one ‘omics’ level to the other with clear information on regulatory features and phenotypes. The limitations and tendencies of a ‘single omics’ application to ignore the influence of other molecular processes justify the need for ‘multi-omics’ application in probiotics selections and understanding its action on the host. Different omics techniques, including genomics, transcriptomics, proteomics, metabolomics and lipidomics, used for studying probiotics and their influence on the host and the microbiome are discussed in this review. Furthermore, the rationale for ‘multi-omics’ and multi-omics data integration platforms supporting probiotics and microbiome analyses was also elucidated. This review showed that multi-omics application is useful in selecting probiotics and understanding their functions on the host microbiome. Hence, recommend a multi-omics approach for holistically understanding probiotics and the microbiome.
Lyophilization to enable distribution of ChAdOx1 and ChAdOx2 adenovirus-vectored vaccines without refrigeration
Authors: Zhang Cheng , Berg Adam , Joe Carina C. D. , Dalby Paul A. , Douglas Alexander D. 
Published: June 2023

AbstractDistribution of vaccines which require refrigerated or frozen storage can be challenging and expensive. The adenovirus vector platform has been widely used for COVID-19 vaccines while several further candidate vaccines using the platform are in clinical development. In current liquid formulations, adenoviruses require distribution at 2–8 °C. The development of formulations suitable for ambient temperature distribution would be advantageous. Previous peer-reviewed reports of adenovirus lyophilization are relatively limited. Here, we report the development of a formulation and process for lyophilization of simian adenovirus-vectored vaccines based on the ChAdOx1 platform. We describe the iterative selection of excipients using a design of experiments approach, and iterative cycle improvement to achieve both preservation of potency and satisfactory cake appearance. The resulting method achieved in-process infectivity titre loss of around 50%. After drying, there was negligible further loss over a month at 30 °C. Around 30% of the predrying infectivity remained after a month at 45 °C. This performance is likely to be suitable for ‘last leg’ distribution at ambient temperature. This work may also facilitate the development of other product presentations using dried simian adenovirus-vectored vaccines.
Analyzing immune responses to varied mRNA and protein vaccine sequences
Authors: Park Hyeong-Jun , Bang Yoo-Jin , Kwon Sung Pil , Kwak Woori , Park Sang-In , Roh Gahyun , Bae Seo-Hyeon , Kim Jae-Yong , Kwak Hye Won , Kim Yongkwan , Yoo Soyeon , Kim Daegeun , Keum Gyochang , Bang Eun-Kyoung , Hong So-Hee , Nam Jae-Hwan 
Published: June 2023

AbstractIn response to the COVID-19 pandemic, different types of vaccines, such as inactive, live-attenuated, messenger RNA (mRNA), and protein subunit, have been developed against SARS-CoV-2. This has unintentionally created a unique scenario where heterologous prime-boost vaccination against a single virus has been administered to a large human population. Here, we aimed to analyze whether the immunization order of vaccine types influences the efficacy of heterologous prime-boost vaccination, especially mRNA and protein-based vaccines. We developed a new mRNA vaccine encoding the hemagglutinin (HA) glycoprotein of the influenza virus using the 3′-UTR and 5′-UTR of muscle cells (mRNA-HA) and tested its efficacy by heterologous immunization with an HA protein vaccine (protein-HA). The results demonstrated higher IgG2a levels and hemagglutination inhibition titers in the mRNA-HA priming/protein-HA boosting (R-P) regimen than those induced by reverse immunization (protein-HA priming/mRNA-HA boosting, P-R). After the viral challenge, the R-P group showed lower virus loads and less inflammation in the lungs than the P-R group did. Transcriptome analysis revealed that the heterologous prime-boost groups had differentially activated immune response pathways, according to the order of immunization. In summary, our results demonstrate that the sequence of vaccination is critical to direct desired immune responses. This study demonstrates the potential of a heterologous vaccination strategy using mRNA and protein vaccine platforms against viral infection.
Drivers of heterogeneity in synovial fibroblasts in rheumatoid arthritis
Authors: Smith Melanie H. , Gao Vianne R. , Periyakoil Preethi K. , Kochen Alejandro , DiCarlo Edward F. , Goodman Susan M. , Norman Thomas M. , Donlin Laura T. , Leslie Christina S. , Rudensky Alexander Y. 
Published: June 2023

AbstractInflammation of non-barrier immunologically quiescent tissues is associated with a massive influx of blood-borne innate and adaptive immune cells. Cues from the latter are likely to alter and expand activated states of the resident cells. However, local communications between immigrant and resident cell types in human inflammatory disease remain poorly understood. Here, we explored drivers of fibroblast-like synoviocyte (FLS) heterogeneity in inflamed joints of patients with rheumatoid arthritis using paired single-cell RNA and ATAC sequencing, multiplexed imaging and spatial transcriptomics along with in vitro modeling of cell-extrinsic factor signaling. These analyses suggest that local exposures to myeloid and T cell-derived cytokines, TNF, IFN-γ, IL-1β or lack thereof, drive four distinct FLS states some of which closely resemble fibroblast states in other disease-affected tissues including skin and colon. Our results highlight a role for concurrent, spatially distributed cytokine signaling within the inflamed synovium.
Association between smoking and obstructive sleep apnea based on the STOP-Bang index
Authors: Jang Yun Seo , Nerobkova Nataliya , Hurh Kyungduk , Park Eun-Cheol , Shin Jaeyong 
Published: June 2023

AbstractSmoking is a risk factor for respiratory diseases, and it worsens sleep quality due to nicotine stimulation and sudden nicotine withdrawal during sleep. This can increase the severity of OSA through alterations upper airway inflammation and neuromuscular function, arousal mechanisms, and sleep architecture. Therefore, it may lead to sleep-disrupted breathing, particularly obstructive sleep apnea (OSA). Herein, this study aims to research the association between smoking and OSA through the STOP-Bang index. In this study, total sample of 3442 participants (1465 men and 1977 women) were analyzed. We used data from the Korea National Health and Nutrition Examination Survey in 2020 by classifying adults into current, ex-, and non-smokers. A multiple logistic regression analysis was used to investigate the association between smoking and OSA. Furthermore, multinomial regression analysis was used to investigate the effect of smoking cessation. For males, compared to the non-smokers, the odds ratios (OR) for the OSA were significantly higher in the ex-smokers (OR: 1.53, 95% confidence interval(CI) 1.01–2.32) and current smokers (OR: 1.79, 95% CI 1.10–2.89). In females, higher ORs were observed for OSA risk, similar to the non-smokers, smoking cessation, and pack-years. Among men, OSA was significantly associated with a moderate risk for ex-smokers (OR: 1.61, 95% CI 1.05–2.48) and a severe risk for current smokers (OR: 1.88, 95% CI 1.07–3.29). This study observed that smoking might contribute to OSA risk among adults. Smoking cessation can help to manage sleep quality properly.
The atmospheric relevance of primary alcohols and imidogen reactions
Authors: Douroudgari Hamed , Zarepour Hadi , Vahedpour Morteza , Jaberi Mahdi , Zarepour Mahdi 
Published: June 2023

AbstractOrganic alcohols as very volatile compounds play a crucial role in the air quality of the atmosphere. So, the removal processes of such compounds are an important atmospheric challenge. The main goal of this research is to discover the atmospheric relevance of degradation paths of linear alcohols by imidogen with the aid of simulation by quantum mechanical (QM) methods. To this end, we combine broad mechanistic and kinetic results to get more accurate information and to have a deeper insight into the behavior of the designed reactions. Thus, the main and necessary reaction pathways are explored by well-behaved QM methods for complete elucidation of the studying gaseous reactions. Moreover, the potential energy surfaces as a main factor are computed for easier judging of the most probable pathways in the simulated reactions. Our attempt to find the occurrence of the considered reactions in the atmospheric conditions is completed by precisely evaluating the rate constants of all elementary reactions. All of the computed bimolecular rate constants have a positive dependency on both temperature and pressure. The kinetic results show that H-abstraction from the α carbon is dominant relative to the other sites. Finally, by the results of this study, we conclude that at moderate temperatures and pressures primary alcohols can degrade with imidogen, so they can get atmospheric relevance.
Predictive analysis of metabolic syndrome based on 5-years continuous physical examination data
Authors: Zou Guohan , Zhong Qinghua , OUYang Ping , Li Xiaoxi , Lai Xiaoying , Zhang Han 
Published: June 2023

AbstractMetabolic syndrome (MetS) represents a complex group of metabolic disorders. As MetS poses a significant challenge to global public health, predicting the occurrence of MetS and the development of related risk factors is important. In this study, we conducted a predictive analysis of MetS based on machine learning algorithms using datasets of 15,661 individuals. Five consecutive years of medical examination records were provided by Nanfang Hospital, Southern Medical University, China. The specific risk factors used included WC, WHR, TG, HDL-C, BMI, FGLU, etc. We proposed a feature construction method using the examination records over the past four consecutive years, combining the differences between the annual value and the normal limits of each risk factor and the year-to-year variation. The results showed that the feature set, which contained the original features of the inspection record and new features proposed in this study yielded the highest AUC of 0.944, implying that the new features could help identify risk factors for MetS and provide more targeted diagnostic advice for physicians.