bluuebunny/crossref_metadata_2025_split huggingface dataset:
An update on the potential mechanism of gallic acid as an antibacterial and anticancer agent
Authors: Keyvani‐Ghamsari Saeedeh , Rahimi Maryam , Khorsandi Khatereh 
Published: September 2023

AbstractDrug resistance to antibacterial and anticancer drugs is one of the most important global problems in the treatment field that is constantly expanding and hinders the recovery and survival of patients. Therefore, it is necessary to identify compounds that have antibacterial and anticancer properties or increase the effectiveness of existing drugs. One of these approaches is using natural compounds that have few side effects and are effective. Gallic acid (GA) has been identified as one of the most important plant polyphenols that health‐promoting effects in various aspects such as bacterial and viral infections, cancer, inflammatory, neuropsychological, gastrointestinal, and metabolic disease. Various studies have shown that GA inhibits bacterial growth by altering membrane structure, and bacterial metabolism, and inhibits biofilm formation. Also, GA inhibits cancer cell growth by targeting different signaling pathways in apoptosis, increasing reactive oxygen species (ROS) production, targeting the cell cycle, and inhibiting oncogenes and matrix metalloproteinases (MMPs) expression. Due to the powerful function of GA against bacteria and cancer cells. In this review, we describe the latest findings in the field of the sources and chemical properties of GA, its pharmacological properties and bioavailability, the antibacterial and anticancer activities of GA, and its derivatives alone, in combination with other drugs and in the form of nanoformulation. This review can be a comprehensive perspective for scientists to use medicinal compounds containing GA in future research and expand its clinical applications.
Management of cognitive frailty: A network meta‐analysis of randomized controlled trials
Authors: Zhang Yu , Zhou Jing‐Jing , Zhang Xu‐Ming , Liu Jing‐Ting , Li Min‐Rui , Liang Jia‐Yi , Gao Yu‐Lin 
Published: September 2023

AbstractObjectivesWe aimed to compare the effectiveness of interventions in cognitive function and frailty status and rank these interventions.MethodsData Sources‐We searched PubMed, Embase, CINAHL, PsycINFO, Web of Science, Cochrane Library, Central Register of Controlled Trials (CENTRAL), CNKI, Wanfang, VIP and Google scholar. Data synthesis‐The risk of bias was assessed using the Cochrane risk bias assessment tool. Statistical heterogeneity was assessed using the Chi‐square test and quantified by I2. The results were pooled using the standardized mean difference (SMD). The rank probability for each intervention was calculated using the surface under the cumulative ranking curve (SUCRA). Additionally, the quality of the evidence was evaluated using the GRADE approach.ResultsA total of 10 randomized controlled trials (RCTs) involving 1110 patients were included in our analysis. The network map of cognitive function comprised 9 RCTs with 1347 participants, examining eight different interventions. Nutritional support (SUCRA = 99.9%, SMD = 3.02, 95% CI: 2.53, 3.51) may be the most effective intervention to improve cognitive function. The network map of frailty (including 9 RCTs with 1017 participants and 9 interventions) suggested that multicomponent exercises (SUCRA = 96.4%, SMD = −5.10, 95% CI: −5.96, −4.23) tended to have a greater effect.ConclusionsCommunity‐based multicomponent exercises have shown significant benefits for improving cognitive function and frailty status in older adults, with moderate certainty. For hospitalized older patients with Cognitive frailty (CF), current evidence suggests that nutritional support yields the most improvement. Additionally, aerobic exercise and dual‐task training have proven effective in managing CF. Further studies are needed to validate these preliminary findings and exploring more accessible and effective physical and cognitive interventions to prevent CF in aging.
Spatial whole transcriptome profiling of primary tumor from patients with metastatic prostate cancer
Authors: Salachan Paul Vinu , Rasmussen Martin , Ulhøi Benedicte Parm , Jensen Jørgen Bjerggaard , Borre Michael , Sørensen Karina Dalsgaard 
Published: September 2023

AbstractProstate cancer (PCa) is a highly heterogeneous disease in terms of its molecular makeup and clinical prognosis. The prostate tumor microenvironment (TME) is hypothesized to play an important role in driving disease aggressiveness, but precise mechanisms remain elusive. In our study, we used spatial transcriptomics to explore for the first time the spatial gene expression heterogeneity within primary prostate tumors from patients with metastatic disease. In total, we analyzed 5459 tissue spots from three PCa patients comprising castration‐resistant (CRPC) and neuroendocrine (NEPC) disease stages. Within CRPC, we identified a T cell cluster whose activity might be impaired by nearby regulatory T cells, potentially mediating the aggressive disease phenotype. Moreover, we identified Hallmark signatures of epithelial‐mesenchymal transition in a cancer‐associated fibroblast (CAF) cluster, indicating the aggressive characteristic of the primary TME leading to metastatic dissemination. Within NEPC, we identified active immune‐stroma cross‐talk exemplified by significant ligand‐receptor interactions between CAFs and M2 macrophages. Further, we identified a malignant cell population that was associated with the down‐regulation of an immune‐related gene signature. Lower expression of this signature was associated with higher levels of genomic instability in advanced PCa patients (SU2C cohort, n = 99) and poor recurrence free survival in early‐stage PCa patients (TCGA cohort, n = 395), suggesting prognostic biomarker potential. Taken together, our study reveals the importance of whole transcriptome profiling at spatial resolution for biomarker discovery and for advancing our understanding of tumor biology.
Intolerable feelings of uncertainty within the body: Associations between interoceptive awareness, intolerance of uncertainty, and body dissatisfaction
Authors: Bijsterbosch Jojanneke M. , Hasenack Birgit , van Rooijen Bregje , Sternheim Lot C. , Boelen Paul A. , Dijkerman H. Chris , Keizer Anouk 
Published: September 2023

AbstractBackgroundAdolescence is a period marked by important physical and social changes, which often leads to an increase of body dissatisfaction. Recent studies have shown an association between interoception and body dissatisfaction in female adolescents. One variable that may contribute to the association between interoceptive awareness and body dissatisfaction is intolerance of uncertainty (IU). This study aims to investigate multiple facets of interoceptive awareness, IU, and their relations with body dissatisfaction in adolescent girls.MethodsIn a cross‐sectional study, a convenience sample of 307 adolescent girls (mean age = 17.73; SD = 1.02) was recruited in the Netherlands in 2022. Three questionnaires were completed measuring interoceptive awareness, IU, and body dissatisfaction. A moderation analyses using a multiple hierarchical regression was used to investigate associations between variables.ResultsCorrelation analyses indicated that several facets of lower interoceptive awareness (Not distracting, Not worrying and Trusting) were related to higher levels of body dissatisfaction. IU only marginally moderated the relationship between several domains of interoceptive awareness (Notice, Attention regulation and Emotional awareness) and body dissatisfaction.DiscussionFindings suggest that experiencing bodily signals as ambiguous and uncertain may result in more complex body image issues. Within certain domains of interoceptive awareness, IU may affect the process of appraising bodily signals. Furthermore, adolescent girls who do not feel safe in their body and who find it difficult to distract their thoughts when experiencing pain or discomfort in their body may be particularly at risk for developing more complex body image disturbances and may benefit from interventions improving both interoceptive awareness and IU. Moreover, future research should focus on interoceptive awareness and IU as potential underlying mechanisms for body image issues.
Profiling extracellular vesicle surface proteins with 10 µL peripheral plasma within 4 h
Authors: He Jie , Li Hengyu , Mai John , Ke Yuqing , Zhai Chunhui , Li Jiao Jiao , Jiang Lai , Shen Guangxia , Ding Xianting 
Published: September 2023

AbstractExtracellular vesicle (EV) surface proteins, expressed by primary tumours, are important biomarkers for early cancer diagnosis. However, the detection of these EV proteins is complicated by their low abundance and interference from non‐EV components in clinical samples. Herein, we present a MEmbrane‐Specific Separation and two‐step Cascade AmpLificatioN (MESS2CAN) strategy for direct detection of EV surface proteins within 4 h. MESS2CAN utilises novel lipid probes (long chains linked by PEG2K with biotin at one end, and DSPE at the other end) and streptavidin‐coated magnetic beads, permitting a 49.6% EV recovery rate within 1 h. A dual amplification strategy with a primer exchange reaction (PER) cascaded by the Cas12a system then allows sensitive detection of the target protein at 10 EV particles per microliter. Using 4 cell lines and 90 clinical test samples, we demonstrate MESS2CAN for analysing HER2, EpCAM and EGFR expression on EVs derived from cells and patient plasma. MESS2CAN reports the desired specificity and sensitivity of EGFR (AUC = 0.98) and of HER2 (AUC = 1) for discriminating between HER2‐positive breast cancer, triple‐negative breast cancer and healthy donors. MESS2CAN is a pioneering method for highly sensitive in vitro EV diagnostics, applicable to clinical samples with trace amounts of EVs.
Noninvasive Magnetic Resonance Imaging Measures of Glymphatic System Activity
Authors: Kamagata Koji , Saito Yuya , Andica Christina , Uchida Wataru , Takabayashi Kaito , Yoshida Seina , Hagiwara Akifumi , Fujita Shohei , Nakaya Moto , Akashi Toshiaki , Wada Akihiko , Kamiya Kouhei , Hori Masaaki , Aoki Shigeki 
Published: September 2023

The comprehension of the glymphatic system, a postulated mechanism responsible for the removal of interstitial solutes within the central nervous system (CNS), has witnessed substantial progress recently. While direct measurement techniques involving fluorescence and contrast agent tracers have demonstrated success in animal studies, their application in humans is invasive and presents challenges. Hence, exploring alternative noninvasive approaches that enable glymphatic research in humans is imperative. This review primarily focuses on several noninvasive magnetic resonance imaging (MRI) techniques, encompassing perivascular space (PVS) imaging, diffusion tensor image analysis along the PVS, arterial spin labeling, chemical exchange saturation transfer, and intravoxel incoherent motion. These methodologies provide valuable insights into the dynamics of interstitial fluid, water permeability across the blood–brain barrier, and cerebrospinal fluid flow within the cerebral parenchyma. Furthermore, the review elucidates the underlying concept and clinical applications of these noninvasive MRI techniques, highlighting their strengths and limitations. It addresses concerns about the relationship between glymphatic system activity and pathological alterations, emphasizing the necessity for further studies to establish correlations between noninvasive MRI measurements and pathological findings. Additionally, the challenges associated with conducting multisite studies, such as variability in MRI systems and acquisition parameters, are addressed, with a suggestion for the use of harmonization methods, such as the combined association test (COMBAT), to enhance standardization and statistical power. Current research gaps and future directions in noninvasive MRI techniques for assessing the glymphatic system are discussed, emphasizing the need for larger sample sizes, harmonization studies, and combined approaches. In conclusion, this review provides invaluable insights into the application of noninvasive MRI methods for monitoring glymphatic system activity in the CNS. It highlights their potential in advancing our understanding of the glymphatic system, facilitating clinical applications, and paving the way for future research endeavors in this field.Evidence Level3Technical EfficacyStage 5
Breeding of high‐tolerance yeast by adaptive evolution and high‐gravity brewing of mutant
Authors: Yang Tianyou , Zhang Shishuang , Pan Yuru , Li Xu , Liu Gaifeng , Sun Haiyan , Zhang Rongxian , Zhang Chaohui 
Published: September 2023

AbstractBACKGROUNDEthanol and osmotic stresses are the major limiting factors for brewing strong beer with high‐gravity wort. Breeding of yeast strains with high osmotic and ethanol tolerance and studying very‐high‐gravity (VHG) brewing technology is of great significance for brewing strong beer.RESULTSThis study used an optimized microbial microdroplet culture (MMC) system for adaptive laboratory evolution (ALE) of Saccharomyces cerevisiae YN81 to improve its tolerance to osmotic and ethanol stress. Meanwhile, we investigated the VHG and VHG with added ethanol (VHGAE) brewing processes for the evolved mutants in brewing strong beer. The results showed that three evolved mutants were obtained; among them, the growth performance of YN81mc‐8.3 under 300, 340, 380, 420 and 460 g L−1 sucrose stresses was greater than that of the other strains. The ethanol tolerance of YN81mc‐8.3 was 12%, which was 20% higher than that of YN81. During strong‐beer brewing in a 100 L cylindrical cone‐bottom tank, the sugar utilization and ethanol yield of YN81mc‐8.3 outperformed those of YN81 in both the VHG and VHGAE brewing processes. Measurement of the diacetyl concentration showed that YN81mc‐8.3 had a stronger diacetyl reduction ability; in particular, the real degree of fermentation of beers brewed by YN81mc‐8.3 in VHG and VHGAE brewing processes was 75.35% and 66.71%, respectively – higher than those of the two samples brewed by YN81. Meanwhile, the visual, olfactive and gustative properties of the strong beer produced by YN81mc‐8.3 were better than those of the other beers.CONCLUSIONIn this study, the mutant YN81mc‐8.3 and the VHGAE brewing process were optimal and represented a better alternative strong‐beer brewing process. © 2023 Society of Chemical Industry.
Statically Multiple Colors and Dynamically Infrared Emissivity Modulation Compatible Electrochromic Devices via Simple Fabry–Perot Photonic Structures
Authors: Sun Wenhai , Zhang Xiang , Zhang Hulin , Ren Zichen , Chen Mingjun , Xiao Yingjun , Li Zitong , Deng Jianbo , Yan Dukang , Zhang Leipeng , Li Yao 
Published: September 2023

AbstractThe development of electrochromic devices (ECDs) that can dynamically modulate infrared (IR) emissivity while maintaining a wide color gamut distribution for visible (VIS)‐IR compatible spectral manipulation has been a long‐standing challenge. Current ECDs are limited by simultaneous changes in IR emissivity and VIS colors when subjected to external potential, restricting their potential applications. This work presents, for the first time, VIS–IR compatible ECDs capable of displaying VIS multicolor and dynamically modulating IR emissivity via a Ge/HfO2 Fabry–Perot cavity structure. The all‐solid‐state VIS‐IR compatible ECD with the structure of ITO/NiO/Ta2O5/Li/WO3/ITO/Ge/HfO2 achieves not only emissivity modulation of 0.20 at potentials of −2.5 V and +2.5 V in the wavelength range of 2.5–25 µm, but also, due to the presence of Fabry–Perot cavity, the novelty compatible device structure achieves static multicolor modulation, thus decoupling VIS and IR emissivity modulation. Additionally, a flexible VIS‐IR compatible ECD based on polyaniline is also constructed. This novel approach offers a promising possibility for multispectral compatible manipulation, VIS multicolor, and IR signal processing applications.
Structural Confinement Induced Near‐Unity Quantum Yield for Single‐Band Ratiometric Thermometry
Authors: Chang Jiwen , Wang Yu , Zhang Zixuan , Guo Dongxu , Zhao Peihang , Wang Nan , Wang Zhijun , Li Leipeng , Li Panlai , Suo Hao 
Published: September 2023

AbstractLuminescence quenching at high dopant concentration and temperature typically limits the brightness of luminescence materials, which remains a major obstacle in diverse technological applications, especially in the field of luminescence thermometry. In this work, a unique class of non‐concentration quenching double‐tungstate phosphors is reported that feature the near‐unity quantum yield of Tb3+ and Eu3+ emissions induced by the structural confinement effect. Mechanistic studies affirm that the activator ions can be isolated in NaYW2O8 crystal to confine the absorbed photon energy, leading to a relatively high quenching concentration of various lanthanide activators. By facilitating interionic cross‐relaxation at heavy dopant concentration, a remarkable thermal enhancement of Tb3+ emissions over 20‐fold upon the excitation of excited‐state absorption is recorded. In contrast, thermally quenched emissions are detected under the excitation of ground‐state absorption. This excitation wavelength‐dependent thermal behavior of Tb3+ emissions is harnessed for single‐band ratiometric thermometry, registering superior thermal sensitivity and resolution (Sr = 4.01% K−1, δT = 0.1 K). The advances in combating concentration and thermal quenching of luminescence materials provide exciting opportunities for flexible thermometry in real‐world sensing scenarios.
Objective monitoring of laser tattoo removal in human volunteers using an innovative optical technique: A proof of principle
Authors: Golmajer Zima Neža , Verdel Nina , Lukač Matjaž , Majaron Boris 
Published: September 2023

AbstractObjectivesAssess the suitability of the technique for objective monitoring of laser tattoo removal by an extended treatment protocol.Materials and MethodsOne half of the tattoo in the first volunteer was treated with nanosecond and the other half with picosecond laser pulses at 1064 nm. In the second subject, four test areas were treated repeatedly using different radiant exposures from 1.5 to 6 J/cm2. Measurements of diffuse reflectance spectra and photothermal radiometric transients were performed 4–20 weeks after each treatment session. Inverse Monte Carlo analysis based on a three‐layer model of tattooed skin was applied to assess the tattoo characteristics and analyze their changes.ResultsThe results clearly indicate a gradual reduction of the ink content and an increase of the subsurface depth of the tattoo layer with all treatments at a radiant exposure of 3 J/cm2 or higher. The observed dependences on laser pulse duration, radiant exposure, and a number of treatments are in excellent agreement with visual fading of the tattoo.ConclusionsThe presented methodology enables noninvasive characterization of tattoos in human skin and objective monitoring of the laser removal treatment.
Automatic covariance pattern analysis outperforms visual reading of 18F‐fluorodeoxyglucose‐positron emission tomography (FDG‐PET) in variant progressive supranuclear palsy
Authors: Buchert Ralph , Wegner Florian , Huppertz Hans‐Jürgen , Berding Georg , Brendel Matthias , Apostolova Ivayla , Buhmann Carsten , Dierks Alexander , Katzdobler Sabrina , Klietz Martin , Levin Johannes , Mahmoudi Nima , Rinscheid Andreas , Rogozinski Sophia , Rumpf Jost‐Julian , Schneider Christine , Stöcklein Sophia , Spetsieris Phoebe G. , Eidelberg David , Wattjes Mike P. , Sabri Osama , Barthel Henryk , Höglinger Günter ,   for the Alzheimer's Disease Neuroimaging Initiative
Published: September 2023

AbstractBackgroundTo date, studies on positron emission tomography (PET) with 18F‐fluorodeoxyglucose (FDG) in progressive supranuclear palsy (PSP) usually included PSP cohorts overrepresenting patients with Richardson's syndrome (PSP‐RS).ObjectivesTo evaluate FDG‐PET in a patient sample representing the broad phenotypic PSP spectrum typically encountered in routine clinical practice.MethodsThis retrospective, multicenter study included 41 PSP patients, 21 (51%) with RS and 20 (49%) with non‐RS variants of PSP (vPSP), and 46 age‐matched healthy controls. Two state‐of‐the art methods for the interpretation of FDG‐PET were compared: visual analysis supported by voxel‐based statistical testing (five readers) and automatic covariance pattern analysis using a predefined PSP‐related pattern.ResultsSensitivity and specificity of the majority visual read for the detection of PSP in the whole cohort were 74% and 72%, respectively. The percentage of false‐negative cases was 10% in the PSP‐RS subsample and 43% in the vPSP subsample. Automatic covariance pattern analysis provided sensitivity and specificity of 93% and 83% in the whole cohort. The percentage of false‐negative cases was 0% in the PSP‐RS subsample and 15% in the vPSP subsample.ConclusionsVisual interpretation of FDG‐PET supported by voxel‐based testing provides good accuracy for the detection of PSP‐RS, but only fair sensitivity for vPSP. Automatic covariance pattern analysis outperforms visual interpretation in the detection of PSP‐RS, provides clinically useful sensitivity for vPSP, and reduces the rate of false‐positive findings. Thus, pattern expression analysis is clinically useful to complement visual reading and voxel‐based testing of FDG‐PET in suspected PSP. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
mcLARO: Multi‐contrast learned acquisition and reconstruction optimization for simultaneous quantitative multi‐parametric mapping
Authors: Zhang Jinwei , Nguyen Thanh D. , Solomon Eddy , Li Chao , Zhang Qihao , Li Jiahao , Zhang Hang , Spincemaille Pascal , Wang Yi 
Published: September 2023

AbstractPurposeTo develop a method for rapid sub‐millimeter T1, T2, , and QSM mapping in a single scan using multi‐contrast learned acquisition and reconstruction optimization (mcLARO).MethodsA pulse sequence was developed by interleaving inversion recovery and T2 magnetization preparations and single‐echo and multi‐echo gradient echo acquisitions, which sensitized k‐space data to T1, T2, , and magnetic susceptibility. The proposed mcLARO optimized both the multi‐contrast k‐space under‐sampling pattern and image reconstruction based on image feature fusion using a deep learning framework. The proposed mcLARO method with under‐sampling was validated in a retrospective ablation study and compared with other deep learning reconstruction methods, including MoDL and Wave‐MoDL, using fully sampled data as reference. Various under‐sampling ratios in mcLARO were investigated. mcLARO was also evaluated in a prospective study using separately acquired conventionally sampled quantitative maps as reference standard.ResultsThe retrospective ablation study showed improved image sharpness of mcLARO compared to the baseline network without the multi‐contrast sampling pattern optimization or image feature fusion module. The under‐sampling ratio experiment showed that higher under‐sampling ratios resulted in blurrier images and lower precision of quantitative values. The prospective study showed that small or negligible bias and narrow 95% limits of agreement on regional T1, T2, , and QSM values by mcLARO (5:39 mins) compared to reference scans (40:03 mins in total). mcLARO outperformed MoDL and Wave‐MoDL in terms of image sharpness, noise suppression, and artifact removal.ConclusionmcLARO enabled fast sub‐millimeter T1, T2, , and QSM mapping in a single scan.