bluuebunny/crossref_metadata_2025_split huggingface dataset:
Navigating the Urgency: A Narrative Review on the Critical Demand for Robust Outcome Measures in Post-Intensive Care Syndrome (PICS)
Authors: Goel Tanya , Arunmozhi R. 
Published: August 2024

Abstract
Background
Post intensive care syndrome (PICS) is a new emerging condition affecting more than 80% of the population discharged from Intensive care unit (ICU). It affects the individual with a myriad of symptoms degrading the individual’s quality of life (QoL). Most critical method to prevent this is early diagnosis through a reliable measure taking into account the multidimensional nature of PICS. Thus, this study aims to find out is there a need of a comprehensive assessment scale for PICS covering all the domains.

Methods
Data was searched on databases incorporating PubMed, Cochrane Library, Google Scholar and EBSCO, Psyc INFO, Web of Science, Scopus, Science Direct, Medline, CINAHL. 18,756 articles were retrieved. It was narrowed down to 20 articles which were finally reviewed. The review summarizing all the reasons why a comprehensive outcome measure is needed for PICS including all the aspects of the syndrome. Furthermore, the review delineates the potential advantages that a novel assessment tool could provide, enriching our comprehension and handling of the intricate ramifications of PICS.

Results
The review highlights several key findings that underscore the necessity of a thorough outcome measure for assessing PICS: (i) the multifaceted nature of symptoms; (ii) challenges related to underdiagnosis and misdiagnosis; (iii) inconsistencies in assessment measures; (iv) insufficient attention to social aspects; (v) confounding factors related to comorbidities; (vi) the diverse array of assessment measures presently employed. All this is currently contributing to a confusing assessment of PICS leading to increased population affected with multitude of symptoms experienced after ICU discharge.

Conclusion
The existing assessment instruments for PICS exhibit wide variability in complexity, difficult comparison and evidence integration, thereby complicating therapeutic decisions. The lack of a universally accepted measurement standard increases the challenge of diagnosing and preventing PICS. Additionally, some tools may inaccurately represent PICS characteristics, leading to inconsistent reporting. Thus, there is an urgent demand for a comprehensive, multidimensional tool to provide a valid diagnosis.
Soil contamination with microplastics (MPs) from treated wastewater and sewage sludge: risks and sustainable mitigation strategies
Authors: Hechmi Sarra , Bhat Mansoor Ahmad , Kallel Amjad , Khiari Oumaima , Louati Zeineb , Khelil Mohamed Naceur , Zoghlami Rahma Inès , Cherni Yasmine , Melki Samira , Trabelsi Ismail , Jedidi Naceur 
Published: August 2024

AbstractThis review explores the hidden hazards associated with the reuse of treated wastewater and sewage sludge in agriculture while proposing mitigation strategies. It examines the origins and pathways of microplastics (MPs) in wastewater treatment plants and how these pollutants infiltrate agricultural ecosystems. The review assesses the effectiveness of MP removal from wastewater and its fate in soil after reuse, highlighting contamination dynamics and the need for proactive measures. Introducing soil remediation methods is crucial for addressing this issue. Alarming evidence of MPs in human blood, testis, semen, and placenta underscores the urgency for solutions, revealing significant threats to human health, particularly reproductive health. The review advocates for sustainable agricultural practices and effective soil remediation strategies to mitigate MP contamination, promoting environmental preservation, food safety, and human health protection.
Graphical Abstract
Role of Strong Sea Surface Temperature Diurnal Variation in Triggering the Summer Monsoon Onset Over the Bay of Bengal in a Climate Model
Authors: Song Yajuan , Yang Xiaodan , Bao Ying , Qiao Fangli , Song Zhenya 
Published: August 2024

AbstractThe earliest Asian summer monsoon onset (SMO) occurs in the Bay of Bengal (BoB), heralding the coming of the rainy season. In late April or early May, the strong sea surface temperature (SST) diurnal variation accompanied by ocean surface warming triggers the SMO. However, this observed diurnal cycle intensity cannot be reasonably simulated by state‐of‐the‐art climate models, resulting in a spurious delayed SMO. To address this issue, the SST diurnal cycle parameterized by a diagnostic sublayer scheme was incorporated into a climate model named FIO‐ESM v2.0. The large diurnal amplitude of SST contributes to surface warming and changes atmospheric circulation. Consequently, the high‐pressure anomaly at high levels and an inverted trough at low levels promote more convective activity, triggering an earlier SMO. Our findings improve the ability of climate models in simulating the evolution of the Asian monsoon system.
A Data‐Driven Approach to Assess the Impact of Climate Change on a Tropical Mangrove in India
Authors: Deb Burman Pramit Kumar , Das Pulakesh 
Published: August 2024

AbstractAs a potential carbon sink, mangroves play an important role in climate mitigation. India houses several major global mangrove patches, which remain vulnerable to climate change. The ecosystem‐atmosphere CO2 exchange is most accurately measured by the eddy covariance method, whereas satellites provide the biophysical parameters for a wider area. In the present study, the Sentinel‐2 satellite data is used to map the land cover types in the Pichavaram mangrove forest and identify two major dominant species (Rhizophora spp. and Avicennia marina), which indicated more than 95% classification accuracy. We used 2 years (2017 and 2018) of in situ gross primary productivity (GPP) and leaf area index (LAI) measurements and rectified the Moderate Resolution Imaging Spectroradiometer (MODIS) GPP and LAI products from 2010 to 2018. The modified MODIS GPP and LAI products were used to develop machine learning models, that is, Random Forest (RF) and Extreme Gradient Boosting (XGBoost) to study the climate influence on mangrove productivity. The RF model (R2 = 0.85 and root mean square error (RMSE) = 0.2) outperformed the XGBoost model (R2 = 0.75 and RMSE = 0.26) and was used to project the impact of climate change on the mangrove GPP for two extreme climate change scenarios, namely SSP1‐1.26 and SSP5‐8.5. The GPP increases and decreases in future during wet and dry periods, respectively. Overall, the projected GPP indicated a reduction of 3.73%–20.3% from 2050 to 2060 and of 4.82%–28.15% from 2090 to 2100, compared to its current average (from 2010 to 2018).
Deciphering Subduction Polarity During Ancient Arc‐Continent Collisions
Authors: Yan Zhiyong , Chen Lin , Zuza Andrew V. , Xiang Xiao , Xie Renxian , Ai Sanxi 
Published: August 2024

AbstractThe closure of an ancient ocean basin via oceanic arc‐continent collision has two subduction styles with opposite polarities, which may proceed via subduction polarity reversal (SPR) or a subduction zone jump (SZJ). Interpreting the geometry or kinematic evolution of ancient collisional zones, especially the original subduction polarity, can be challenging. Here we used 2D thermo‐mechanical modeling to investigate the dynamic evolution process of SPR versus SZJ. Our modeling predicts different structural, topographic, magmatic, and basin histories for SPR and SZJ, which can be compared against, and help interpret, the geologic record past sites of oceanic closure during collisional orogens. Our results match geologic observations of past collisions in Kamchatka, eastern Russia, and the Banda Arc, eastern Indonesia, and thus our results can help effectively decode the evolutionary history of past arc‐continent collisions.
A meta-analysis of genome-wide studies of resilience in the German population
Authors: Herrera-Rivero Marisol , Garvert Linda , Horn Katrin , Löbner Margrit , Weitzel Elena Caroline , Stoll Monika , Lichtner Peter , Teismann Henning , Teumer Alexander , Van der Auwera Sandra , Völzke Henry , Völker Uwe , Andlauer Till F. M. , Meinert Susanne , Heilmann-Heimbach Stefanie , Forstner Andreas J. , Streit Fabian , Witt Stephanie H. , Kircher Tilo , Dannlowski Udo , Scholz Markus , Riedel-Heller Steffi G. , Grabe Hans J. , Baune Bernhard T. , Berger Klaus 
Published: August 2024

Abstract
Resilience is the capacity to adapt to stressful life events. As such, this trait is associated with physical and mental functions and conditions. Here, we aimed to identify the genetic factors contributing to shape resilience. We performed variant- and gene-based meta-analyses of genome-wide association studies from six German cohorts (N = 15822) using the 11-item version of the Resilience Scale (RS-11) as outcome measure. Variant- and gene-level results were combined to explore the biological context using network analysis. In addition, we conducted tests of correlation between RS-11 and the polygenic scores (PGSs) for 12 personality and mental health traits in one of these cohorts (PROCAM-2, N = 3879). The variant-based analysis found no signals associated with resilience at the genome-wide level (p < 5 × 10−8), but suggested five genomic loci (p < 1 × 10−5). The gene-based analysis identified three genes (ROBO1, CIB3 and LYPD4) associated with resilience at genome-wide level (p < 2.48 × 10−6) and 32 potential candidates (p < 1 × 10−4). Network analysis revealed enrichment of biological pathways related to neuronal proliferation and differentiation, synaptic organization, immune responses and vascular homeostasis. We also found significant correlations (FDR < 0.05) between RS-11 and the PGSs for neuroticism and general happiness. Overall, our observations suggest low heritability of resilience. Large, international efforts will be required to uncover the genetic factors that contribute to shape trait resilience. Nevertheless, as the largest investigation of the genetics of resilience in general population to date, our study already offers valuable insights into the biology potentially underlying resilience and resilience’s relationship with other personality traits and mental health.
Potential of GSPT1 as a novel target for glioblastoma therapy
Authors: Sasayama Takashi , Hamada Takeshi , Tanaka Kazuhiro , Nagashima Hiroaki , Yamanishi Shunsuke , Ueyama Takehiko 
Published: August 2024

AbstractGlioblastoma is the most common malignant brain tumor in adults, the survival rate of which has not significantly improved over the past three decades. Therefore, there is an urgent need to develop novel treatment modalities. We previously reported that G1 to S phase transition 1 (GSPT1) depletion induces delayed cell cycle in primary astrocytes. Herein, we examined the potential of GSPT1 as a novel target for glioblastoma therapy. CC-885, a cereblon modulator that degrades GSPT1 by bridging GSPT1 to the CRL4 E3 ubiquitin ligase complex, was administered to nude mice with transplanted brain tumors of U87 glioblastoma cells. The survival period was significantly longer in CC-885 treated mice than in control mice. Furthermore, we generated GSPT1-knockout (KO) U87 cells and GSPT1-KO U87 cells with stable overexpression of FLAG-tagged GSPT1 (Rescued GSPT1-KO). Mice with transplanted GSPT1-KO U87 cells and Rescued GSPT1-KO U87 cells showed significantly longer and similar survival periods, respectively, as those with wild-type (WT) U87 cells. GSPT1-KO U87 cells showed enhanced apoptosis, detected by cleaved PARP1, compared to WT U87 cells. Brain tumors with transplantation of GSPT1-KO U87 cells also showed enhanced apoptosis compared to those with transplantation of WT and Rescued GSPT1-KO U87 cells. GSPT1 expression was confirmed in patients with glioblastoma. However, the clinical study using 87 glioblastoma samples showed that GSPT1 mRNA levels were not associated with overall survival. Taken together, we propose that GSPT1 is an essential protein for glioblastoma growth, but not its malignant characteristics, and that GSPT1 is a potential target for developing glioblastoma therapeutics.
Fatty links between multisystem proteinopathy and small VCP-interacting protein
Authors: Ramzan Firyal , Kumar Ashish , Abrar Fatima , Gray Rachel A. V. , Campbell Zurie E. , Liao Lucia Meng Qi , Dang Anthony , Akanni Oluwadurotimi , Guyn Colm , Martin Dale D. O. 
Published: August 2024

AbstractMultisystem proteinopathy (MSP) is a rare, dominantly inherited disorder that includes a cluster of diseases, including frontotemporal dementia, inclusion body myopathy, and Paget’s disease of bone. MSP is caused by mutations in the gene encoding valosin-containing protein (VCP). Patients with the same mutation, even within the same family, can present with a different combination of any or all of the above diseases, along with amyotrophic lateral sclerosis (ALS). The pleiotropic effects may be linked to the greater than 50 VCP co-factors that direct VCP’s many roles in the cell. Small VCP-interacting protein (SVIP) is a small protein that directs VCP to autophagosomes and lysosomes. We found that SVIP directs VCP localization to lysosomes in an acylation-dependent manner. We demonstrate that SVIP is myristoylated at Glycine 2 and palmitoylated at Cysteines 4 and 7. Acylation of SVIP is required to mediate cell death in the presence of the MSP-associated VCP variant (R155H-VCP), whereas blocking SVIP myristoylation prevents cytotoxicity. Therefore, SVIP acylation may present a novel target in MSP.
Mass spectrometry imaging of SOD1 protein-metal complexes in SOD1G93A transgenic mice implicates demetalation with pathology
Authors: Hale Oliver J. , Wells Tyler R. , Mead Richard J. , Cooper Helen J. 
Published: August 2024

AbstractAmyotrophic lateral sclerosis (ALS) is characterized by degeneration of motor neurons in the central nervous system (CNS). Mutations in the metalloenzyme SOD1 are associated with inherited forms of ALS and cause a toxic gain of function thought to be mediated by dimer destabilization and misfolding. SOD1 binds two Cu and two Zn ions in its homodimeric form. We have applied native ambient mass spectrometry imaging to visualize the spatial distributions of intact metal-bound SOD1G93A complexes in SOD1G93A transgenic mouse spinal cord and brain sections and evaluated them against disease pathology. The molecular specificity of our approach reveals that metal-deficient SOD1G93A species are abundant in CNS structures correlating with ALS pathology whereas fully metalated SOD1G93A species are homogenously distributed. Monomer abundance did not correlate with pathology. We also show that the dimer-destabilizing post-translational modification, glutathionylation, has limited influence on the spatial distribution of SOD1 dimers.
Human tumor suppressor protein Pdcd4 binds at the mRNA entry channel in the 40S small ribosomal subunit
Authors: Brito Querido Jailson , Sokabe Masaaki , Díaz-López Irene , Gordiyenko Yuliya , Zuber Philipp , Du Yifei , Albacete-Albacete Lucas , Ramakrishnan V. , Fraser Christopher S. 
Published: August 2024

AbstractTranslation is regulated mainly in the initiation step, and its dysregulation is implicated in many human diseases. Several proteins have been found to regulate translational initiation, including Pdcd4 (programmed cell death gene 4). Pdcd4 is a tumor suppressor protein that prevents cell growth, invasion, and metastasis. It is downregulated in most tumor cells, while global translation in the cell is upregulated. To understand the mechanisms underlying translational control by Pdcd4, we used single-particle cryo-electron microscopy to determine the structure of human Pdcd4 bound to 40S small ribosomal subunit, including Pdcd4-40S and Pdcd4-40S-eIF4A-eIF3-eIF1 complexes. The structures reveal the binding site of Pdcd4 at the mRNA entry site in the 40S, where the C-terminal domain (CTD) interacts with eIF4A at the mRNA entry site, while the N-terminal domain (NTD) is inserted into the mRNA channel and decoding site. The structures, together with quantitative binding and in vitro translation assays, shed light on the critical role of the NTD for the recruitment of Pdcd4 to the ribosomal complex and suggest a model whereby Pdcd4 blocks the eIF4F-independent role of eIF4A during recruitment and scanning of the 5′ UTR of mRNA.
Two-dimensional single-crystalline mesoporous high-entropy oxide nanoplates for efficient electrochemical biomass upgrading
Authors: Wang Yanzhi , He Hangjuan , Lv Hao , Jia Fengrui , Liu Ben 
Published: August 2024

AbstractMesoporous single crystals have received more attention than ever in catalysis-related applications due to their unique structural functions. Despite great efforts, their progress in engineering crystallinity and composition has been remarkably slower than expected. In this manuscript, a template-free strategy is developed to prepare two-dimensional high-entropy oxide (HEO) nanoplates with single-crystallinity and penetrated mesoporosity, which further ensures precise control over high-entropy compositions and crystalline phases. Single-crystalline mesoporous HEOs (SC-MHEOs) disclose high electrocatalytic performance in 5-hydroxymethylfurfural oxidation reaction (HMFOR) for efficient biomass upgrading, with remarkable HMF conversion of 99.3% and superior 2,5-furandicarboxylic acid (FDCA) selectivity of 97.7%. Moreover, with nitrate reduction as coupling cathode reaction, SC-MHEO realizes concurrent electrosynthesis of value-added FDCA and ammonia in the two-electrode cell. Our study provides a powerful paradigm for producing a library of novel mesoporous single crystals for important catalysis-related applications, especially in the two-electrode cell.
Seed longevity is controlled by metacaspases
Authors: Liu Chen , Hatzianestis Ioannis H. , Pfirrmann Thorsten , Reza Salim H. , Minina Elena A. , Moazzami Ali , Stael Simon , Gutierrez–Beltran Emilio , Pitsili Eugenia , Dörmann Peter , D’Andrea Sabine , Gevaert Kris , Romero–Campero Francisco , Ding Pingtao , Nowack Moritz K. , Van Breusegem Frank , Jones Jonathan D. G. , Bozhkov Peter V. , Moschou Panagiotis N. 
Published: August 2024

AbstractTo survive extreme desiccation, seeds enter a period of quiescence that can last millennia. Seed quiescence involves the accumulation of protective storage proteins and lipids through unknown adjustments in protein homeostasis (proteostasis). Here, we show that mutation of all six type–II metacaspase (MCA–II) proteases in Arabidopsis thaliana disturbs proteostasis in seeds. MCA–II mutant seeds fail to restrict the AAA ATPase CELL DIVISION CYCLE 48 (CDC48) at the endoplasmic reticulum to discard misfolded proteins, compromising seed storability. Endoplasmic reticulum (ER) localization of CDC48 relies on the MCA–IIs-dependent cleavage of PUX10 (ubiquitination regulatory X domain–containing 10), the adaptor protein responsible for titrating CDC48 to lipid droplets. PUX10 cleavage enables the shuttling of CDC48 between lipid droplets and the ER, providing an important regulatory mechanism sustaining spatiotemporal proteolysis, lipid droplet dynamics, and protein homeostasis. In turn, the removal of the PUX10 adaptor in MCA–II mutant seeds partially restores proteostasis, CDC48 localization, and lipid droplet dynamics prolonging seed lifespan. Taken together, we uncover a proteolytic module conferring seed longevity.
Histone-methyltransferase KMT2D deficiency impairs the Fanconi anemia/BRCA pathway upon glycolytic inhibition in squamous cell carcinoma
Authors: Liu Wei , Cao Hongchao , Wang Jing , Elmusrati Areeg , Han Bing , Chen Wei , Zhou Ping , Li Xiyao , Keysar Stephen , Jimeno Antonio , Wang Cun-Yu 
Published: August 2024

AbstractHistone lysine methyltransferase 2D (KMT2D) is the most frequently mutated epigenetic modifier in head and neck squamous cell carcinoma (HNSCC). However, the role of KMT2D in HNSCC tumorigenesis and whether its mutations confer any therapeutic vulnerabilities remain unknown. Here we show that KMT2D deficiency promotes HNSCC growth through increasing glycolysis. Additionally, KMT2D loss decreases the expression of Fanconi Anemia (FA)/BRCA pathway genes under glycolytic inhibition. Mechanistically, glycolytic inhibition facilitates the occupancy of KMT2D to the promoter/enhancer regions of FA genes. KMT2D loss reprograms the epigenomic landscapes of FA genes by transiting their promoter/enhancer states from active to inactive under glycolytic inhibition. Therefore, combining the glycolysis inhibitor 2-DG with DNA crosslinking agents or poly (ADP-ribose) polymerase (PARP) inhibitors preferentially inhibits tumor growth of KMT2D-deficient mouse HNSCC and patient-derived xenografts (PDXs) harboring KMT2D-inactivating mutations. These findings provide an epigenomic basis for developing targeted therapies for HNSCC patients with KMT2D-inactivating mutations.
High-entropy superparaelectrics with locally diverse ferroic distortion for high-capacitive energy storage
Authors: Duan Jianhong , Wei Kun , Du Qianbiao , Ma Linzhao , Yu Huifen , Qi He , Tan Yangchun , Zhong Gaokuo , Li Hao 
Published: August 2024

AbstractSuperparaelectrics are considered promising candidate materials for achieving superior energy storage capabilities. However, due to the complicated local structural design, simultaneously achieving high recoverable energy density (Wrec) and energy storage efficiency (η) under high electric fields remains a challenge in bulk superparaelectrics. Here, we propose utilizing entropy engineering to disrupt long-range ferroic orders into local polymorphic distortion disorder with multiple BO6 tilt types and diverse heterogeneous polarization configurations. This strategy reduces the switching barriers, thereby facilitating the emergence of superparaelectric behaviors with ideal polarization forms. Furthermore, it enables high polarization response, negligible remnant polarization, delayed polarization saturation, and enhanced breakdown electric fields (Eb) in high-entropy superparaelectrics. Consequently, an extraordinary Wrec of 15.48 J cm–3 and an ultrahigh η of 90.02% are achieved at a high Eb of 710 kV cm–1, surpassing the comprehensive energy storage performance of previously reported bulk superparaelectrics. This work demonstrates that entropy engineering is a viable strategy for designing high-performance superparaelectrics.