bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical metabolomics characteristics of diabetic kidney disease: A meta‐analysis of 1875 cases with diabetic kidney disease and 4503 controls
Authors: Yuan Yu , Huang Liping , Yu Lulu , Yan Xingxu , Chen Siyu , Bi Chenghao , He Junjie , Zhao Yiqing , Yang Liu , Ning Li , Jin Hua , Yang Rongrong , Li Yubo 
Published: March 2024

AbstractAimsDiabetic Kidney Disease (DKD), one of the major complications of diabetes, is also a major cause of end‐stage renal disease. Metabolomics can provide a unique metabolic profile of the disease and thus predict or diagnose the development of the disease. Therefore, this study summarises a more comprehensive set of clinical biomarkers related to DKD to identify functional metabolites significantly associated with the development of DKD and reveal their driving mechanisms for DKD.Materials and MethodsWe searched PubMed, Embase, the Cochrane Library and Web of Science databases through October 2022. A meta‐analysis was conducted on untargeted or targeted metabolomics research data based on the strategy of standardized mean differences and the process of ratio of means as the effect size, respectively. We compared the changes in metabolite levels between the DKD patients and the controls and explored the source of heterogeneity through subgroup analyses, sensitivity analysis and meta‐regression analysis.ResultsThe 34 clinical‐based metabolomics studies clarified the differential metabolites between DKD and controls, containing 4503 control subjects and 1875 patients with DKD. The results showed that a total of 60 common differential metabolites were found in both meta‐analyses, of which 5 metabolites (p < 0.05) were identified as essential metabolites. Compared with the control group, metabolites glycine, aconitic acid, glycolic acid and uracil decreased significantly in DKD patients; cysteine was significantly higher. This indicates that amino acid metabolism, lipid metabolism and pyrimidine metabolism in DKD patients are disordered.ConclusionsWe have identified 5 metabolites and metabolic pathways related to DKD which can serve as biomarkers or targets for disease prevention and drug therapy.
Differences in growth and competition between plants of a naturalized and an invasive population of Bunias orientalis
Authors: Binama Blaise , Caroline Müller 
Published: March 2024

AbstractThe global shift of species' distributions has led to high numbers of noninvasive naturalized plants and the accumulation of invasive species within ecosystems. Competition between species may influence population dynamics, but little is known about the impacts of competition between conspecifics of naturalized and invasive populations. We investigated several plant traits at initial growth and regrowth following artificial defoliation in intra and interpopulation competition. Therefore, we used plants of Bunias orientalis from one noninvasive naturalized and one invasive population grown alone or in competition of two or three. Plants from the naturalized population were expected to be less competitive than plants from the invasive population, reflecting their differential impact in the introduced range. Independent of status, intrapopulation competition was expected to have less negative impacts on plants than interpopulation competition. Our results show that competition impacted mostly growth‐ rather than physiology‐related traits. The relative magnitude of intra and interpopulation competition differed among plant traits at the first and second harvest. Plants of the invasive population outperformed the naturalized population by allocating relatively more resources to the aboveground biomass and producing more and longer leaves particularly when grown in competition against two plants. Moreover, plants of the invasive population were more competitive, which may influence their successful establishment and range expansion in the introduced range, but growth patterns differed after artificial defoliation. Although evolution of intrapopulation competition in naturalized and invasive ranges may be expected, interpopulation competition seems to adversely impact the performance of the naturalized plant population of B. orientalis studied here. Apart from the status (naturalized vs. invasive), other factors may have had an influence on plant performance. Thus, further research is needed with more naturalized and invasive populations to test the generality of our findings and to isolate the specific mechanisms driving differences in competitiveness.
Preference of trees for nest building by critically endangered white‐rumped vultures (Gyps bengalensis) in Nepal
Authors: Gautam Ramji , Baral Nabin , Sharma Hari Prasad 
Published: March 2024

AbstractWhite‐rumped vultures (Gyps bengalensis) are critically endangered species, and protecting their habitats, particularly the nesting trees, may have a positive impact on their reproductive success. For a better understanding of vultures' habitat needs, the characteristics of nesting trees should be accounted. In this paper, we compare the characteristics of the trees that have vultures' nests and that do not by randomly select a control tree within a 10 m radius of the nesting tree. We extensively searched and monitored the white‐rumped vultures' nests, nesting trees, and nesting tree species in Nepal between 2002 and 2022, and measured the characteristics of sampled trees such as their height, girth, canopy spread, branching orders, and whorls. We recorded 1161 nests of white‐rumped vulture in total on 194 trees belonging to 19 species over the past two decades. White‐rumped vultures preferred the kapok trees (Bombax ceiba) for nest construction than other tree species (χ2 = 115.38, df = 1, p < .001) as 66.49% of nests were built on them. In the logistic regression model, the number of whorls on a tree, canopy spread, and the height of the first branch determined whether a nest was present or absent on a tree. These results help to prioritize the tree attributes in a habitat conservation plan for vultures.
Multiple stressors mediate the effects of warming on leaf decomposition in a large regulated river
Authors: Scholl Eric A. , Hanus Kyle R. , Gardner Tyler W. , Kennedy Theodore A. 
Published: March 2024

AbstractPredicting how increasing temperatures interact with other global change drivers to influence the structure and dynamics of Earth's ecosystems is a primary challenge in ecology. Our study made use of multiple simultaneous “natural experiments” to examine how rapid warming, declining nutrients, invasive consumers, and riparian invasive species management interact to influence leaf decomposition in a large and regulated river. Specifically, we compared the breakdown of cottonwood (Populus fremontii), willow (Salix exigua), and saltcedar (Tamarix sp.) leaf litter in 2022 to a previous experiment from 1998 that occurred under much cooler water temperatures, and had higher water phosphorus concentrations, low numbers of invasive New Zealand mudsnails (Potamopyrgus antipodarum), and unaltered litter chemistry from the herbivory of saltcedar leaf beetles (Diorhabda carinulata). We found that the effects of up to 10°C warmer temperatures on leaf decomposition were mediated by the establishment and management of invasive species and declining water nutrient concentrations arising from upstream reservoir lowering. Such interactions led to accelerated breakdown of saltcedar, but relatively minor effects of warming on the rate of cottonwood and willow decomposition. Additionally, our results demonstrate the potential for favorable invasive species management outcomes in the terrestrial environment to produce unintended responses in adjacent freshwater ecosystems. As temperatures continue to rise, it is critical that future studies consider how warming interacts with multiple stressors and environmental factors to influence processes such as decomposition in freshwater ecosystems.
Assessing the influence of Secoisolariciresinol diglucoside multi‐antioxidants on flaxseed oil's oxidative stability
Authors: Ma Guilan , Wang Jinying , Wang Xingrui , Gan Shengrui , Yang Furong , Dong Guoxin 
Published: March 2024

AbstractTo increase the oxidative stability of flaxseed oil (FSO), combinations of two synergists (vitamin C, citric acid) and five distinct antioxidants (SDG (Secoisolariciresinol diglucoside), tea polyphenol (TP), resveratrol (RE), caffeic acid (CA), and vitamin E (VE)) were assessed. Based on the accelerated oxidation reaction at 65°C, the antioxidant effect was assessed for changes in the shelf‐life, fatty acid composition, peroxide value (POV), volatile and sterol contents of FSO. The SDG multi‐antioxidant combination, which included 0.01% SDG, 0.01% TP, and 0.02% vitamin C, demonstrated the strongest antioxidative qualities, according to the data; the POV of FSO dropped by 57.5% as compared to the blank group. Additionally, the SDG multi‐antioxidant combination outperformed 0.02% TBHQ (tertiary butylhydroquinone), increased the shelf‐life of FSO from 295 to 761 days, and postponed the deterioration of sterols and unsaturated fatty acids. Furthermore, the production of ketones and the degradation of esters and acids were diminished. In summary, the combination of SDG‐TP and vitamin C as antioxidants can be an effective natural alternative to artificial antioxidants to extend the shelf‐life of FSO.Practical Applications: Flaxseed oil utilizing multi‐antioxidant combinations has a wide range of practical applications. Multi‐antioxidant combination of flaxseed oil helps prevent cell damage and slows down the aging process. Antioxidant‐rich oils have numerous health benefits such as reducing inflammation, promoting heart health and improving digestive health. Multi‐antioxidant combination flaxseed oil is versatile and a valuable natural product that can be used in all aspects of daily life to improve overall health, It can provide a theoretical reference for the selection of antioxidants to improve the oxidative stability of flaxseed oil, provide a theoretical basis for the replacement of artificial antioxidants, and also provide certain technical support for the industrial application of flaxseed oil.
Visible‐Light Induced Trifluoromethylation/Cyclization of Unactivated Alkene‐Bound Quinazolinones
Authors: Zou Luqian , Zhao Hengyuan , Wang Xinming , Dong Jun , Yang Chungang , Sun Weiqing , Xu Jianbin , Fan Baomin 
Published: March 2024

AbstractHerein, we reported a selective, mild method for the visible‐light‐photocatalyzed trifluoromethylation and cyclization of unactivated tethered alkenes to provide tri‐ and tetracyclic quinazolinones. Trifluoroacetic acid and anhydride are inexpensive and readily available reagents for the process that proceeds without the addition of a strong oxidant. The wide substrate scope and the formation of 5‐ and 6‐membered rings are demonstrated in 44–82 % yields. Control experiments provide the basis for a proposed mechanism involving photocatalyzed SET from fac‐Ir(ppy)3 to TFAA and trifluoromethyl radical‐mediated regioselective cyclization. The practicality of the protocol was illustrated by a gram‐scale synthesis in 76 % yield.
Hexafluoroisopropanol Promoted Ring‐Opening‐Cyclization of Donor–Acceptor Cyclopropanes with Primary Amines
Authors: Yaragorla Srinivasarao , Tangellapally Rajeshwari , Arun Doma 
Published: March 2024

AbstractWe reveal here a catalyst‐free, ring‐opening‐cyclization of donor‐acceptor cyclopropanes with primary amines to synthesize functionalized dihydropyrroles. This protocol avoids inert conditions and solvents promoted by hexafluoroisopropanol (HFIP). The reaction is quite general with aryl, alkyl, and alicyclic amines. A good number of cyclopropanes bearing keto groups reacted excellently to produce the desired products. Further, we complemented this method with Meldrum's acid‐derived cyclopropanes for synthesizing γ‐lactams. We have demonstrated the post‐synthetic applications of the products and gram‐scale synthesis to highlight the adaptability of this synthetic protocol.
The role of muscle disuse in muscular and cardiovascular fitness: A systematic review and meta‐regression
Authors: Casuso Rafael A. , Huertas Jesús R. , Aragón‐Vela Jerónimo 
Published: March 2024

AbstractWe aimed to assess the effects of muscle disuse on muscle strength (MS), muscle mass (MM) and cardiovascular fitness. Databases were scrutinized to identify human studies assessing the effects of muscle disuse on both (1) MM and (2) maximal oxygen uptake (VO2max) and/or MS. Random‐effects meta‐analysis and meta‐regression with initial physical fitness and length of the protocol as a priori determined moderators were performed. We quantitatively analyzed 51 different studies, and the level of significance was set at p < 0.05. Data from the participants in 14 studies showed a decline in both VO2max (SMD: −0.93; 95% CI: −1.27 to −0.58) and MM (SMD: −0.34; 95% CI: −0.57 to −0.10). Data from 47 studies showed a decline in strength (−0.88; 95% CI: −1.04 to −0.73) and mass (SMD: −0.47; 95% CI: −0.58 to −0.36). MS loss was twice as high as MM loss, but differences existed between anatomical regions. Notably, meta‐regression analysis revealed that initial MS was inversely associated with MS decline. VO2max and MS decline to a higher extent than MM during muscle disuse. We reported a more profound strength loss in subjects with high muscular strength. This is physiologically relevant for athletes because their required muscular strength can profoundly decline during a period of muscle disuse. It should however be noted that a period of muscle disuse can have devastating consequences in old subjects with low muscular strength.
Suicide risk factors among older adults: Implications for counselors as Medicare providers
Authors: Mize Mary Chase , Shannonhouse Laura , Minton Casey Barrio , Fullen Matthew , Shaikh Afroze , Westcott Jordan 
Published: March 2024

AbstractProfessional counselors will be eligible to serve Medicare beneficiaries as of January 1, 2024, and Medicare is the primary health insurance program for older adults in the United States. This population is rapidly increasing, and growth is accompanied by increased mental health concerns such as suicide. Older adults who receive home‐delivered meals (HDM) may be at risk due to isolation, especially throughout the coronavirus pandemic. Grounded in the interpersonal theory of suicide, we sought to understand the relationships between proximal (thwarted belongingness; TB, perceived burdensomeness; PB) and distal (chronic pain, loneliness, and perceived social support) risk factors among older adults who receive HDM. TB and PB were correlated with pain, loneliness, and perceived social support, and these variables predicted TB and PB. Understanding relationships between proximal and distal suicide risk factors may inform interventions for counselors to address loneliness, enhance social support, and identify suicide risk among older adults.
A systematic review and meta‐analysis of test–retest reliability and stability of delay and probability discounting
Authors: Gelino Brett W. , Schlitzer Rebekah D. , Reed Derek D. , Strickland Justin C. 
Published: March 2024

AbstractIn this meta‐analysis, we describe a benchmark value of delay and probability discounting reliability and stability that might be used to (a) evaluate the meaningfulness of clinically achieved changes in discounting and (b) support the role of discounting as a valid and enduring measure of intertemporal choice. We examined test–retest reliability, stability effect sizes (dz; Cohen, 1992), and relevant moderators across 30 publications comprising 39 independent samples and 262 measures of discounting, identified via a systematic review of PsychInfo, PubMed, and Google Scholar databases. We calculated omnibus effect‐size estimates and evaluated the role of proposed moderators using a robust variance estimation meta‐regression method. The meta‐regression output reflected modest test–retest reliability, r = .670, p < .001, 95% CI [.618, .716]. Discounting was most reliable when measured in the context of temporal constraints, in adult respondents, when using money as a medium, and when reassessed within 1 month. Testing also suggested acceptable stability via nonsignificant and small changes in effect magnitude over time, dz = 0.048, p = .31, 95% CI [−0.051, 0.146]. Clinicians and researchers seeking to measure discounting can consider the contexts when reliability is maximized for specific cases.
A panel of multivalent nanobodies broadly neutralizing Omicron subvariants and recombinant
Authors: Zheng Liuhai , Wang Huifang , Liu Xueyan , Xu Chengchao , Tian Mingxiong , Shi Guangwei , Bai Chongzhi , Li Zhijie , Wang Jigang , Liu Shuwen 
Published: March 2024

AbstractThe emerging Omicron subvariants have a remarkable ability to spread and escape nearly all current monoclonal antibody (mAb) treatments. Although the virulence of SARS‐CoV‐2 has now diminished, it remains a significant threat to public health due to its high transmissibility and susceptibility to mutation. Therefore, it is urgent to develop broad‐acting and potent therapeutics targeting current and emerging Omicron variants. Here, we identified a panel of Omicron BA.1 spike receptor‐binding domain (RBD)‐targeted nanobodies (Nbs) from a naive alpaca VHH library. This panel of Nbs exhibited high binding affinity to the spike RBD of wild‐type, Alpha B.1.1.7, Beta B.1.351, Delta plus, Omicron BA.1, and BA.2. Through multivalent Nb construction, we obtained a subpanel of ultrapotent neutralizing Nbs against Omicron BA.1, BA.2, BF.7 and even emerging XBB.1.5, and XBB.1.16 pseudoviruses. Protein structure prediction and docking analysis showed that Nb trimer 2F2E5 targets two independent RBD epitopes, thus minimizing viral escape. Taken together, we obtained a panel of broad and ultrapotent neutralizing Nbs against Omicron BA.1, Omicron BA.2, BF.7, XBB.1.5, and XBB.1.16. These multivalent Nbs hold great promise for the treatment against SARS‐CoV‐2 infection and could possess a superwide neutralizing breadth against novel omicron mutants or recombinants.
Raman microspectroscopy for label‐free diagnosis of amyloid light‐chain amyloidosis in various organs
Authors: Yanagiya Shin‐ichiro , Honda Takeshi , Takanari Hiroki , Sogabe Kimiko , Nakamura Shingen , Bando Yoshimi , Tsuneyama Koichi , Abe Masahiro , Miki Hirokazu 
Published: March 2024

AbstractSystemic amyloidosis is a group of diseases in which misfolded proteins aggregate as fibrous amyloid proteins with a β‐sheet structure and deposit in organs, resulting in organ failure. Most types of amyloidosis have a poor prognosis, and prompt diagnosis is essential for treatment. Systemic immunoglobulin light‐chain (AL) amyloidosis is a type of amyloidosis that occurs when abnormal immunoglobulin light‐chain proteins are deposited in various organs and tissues. The deposition of amyloid proteins in tissues has traditionally been confirmed using Congo red staining and polarised light microscopy, which show apple‐green birefringence. In this study, we aimed to verify whether amyloid deposition in the heart, kidney, rectum, duodenum and skin can be detected using Raman microspectroscopy. Serial sections were prepared from formalin‐fixed paraffin‐embedded tissue biopsy samples obtained from patients with systemic amyloidosis. One of the serial sections was stained with Congo red to confirm the deposition of amyloid proteins using polarised light microscopy, whereas the other was left unstained for Raman microspectroscopy. A characteristic peak at Raman shift of 1665–1680 cm−1, which may represent a β‐sheet structure of amyloid proteins, was recorded in the area where the amyloid deposition had been confirmed by Congo red staining. Based on the peak at 1640–1680 cm−1, a colour map was obtained to detect amyloid protein‐positive regions. Thus, amyloid protein detection using Raman microspectroscopy may be useful for rapid diagnosis of amyloidosis.
Combining randomized and non‐randomized data to predict heterogeneous effects of competing treatments
Authors: Chalkou Konstantina , Hamza Tasnim , Benkert Pascal , Kuhle Jens , Zecca Chiara , Simoneau Gabrielle , Pellegrini Fabio , Manca Andrea , Egger Matthias , Salanti Georgia 
Published: March 2024

AbstractSome patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two‐stage network meta‐regression prediction model that synthesized randomized trials and evaluates how treatment effects vary across patient characteristics. In this article, we extended this model to combine different sources of types in different formats: aggregate data (AD) and individual participant data (IPD) from randomized and non‐randomized evidence. In the first stage, a prognostic model is developed to predict the baseline risk of the outcome using a large cohort study. In the second stage, we recalibrated this prognostic model to improve our predictions for patients enrolled in randomized trials. In the third stage, we used the baseline risk as effect modifier in a network meta‐regression model combining AD, IPD randomized clinical trial to estimate heterogeneous treatment effects. We illustrated the approach in the re‐analysis of a network of studies comparing three drugs for relapsing–remitting multiple sclerosis. Several patient characteristics influence the baseline risk of relapse, which in turn modifies the effect of the drugs. The proposed model makes personalized predictions for health outcomes under several treatment options and encompasses all relevant randomized and non‐randomized evidence.
Prognostic Factors and Outcomes Associated With Neck Lymphedema in Head and Neck Cancer Survivors
Authors: Lao Isabella J. , Berry Jacklyn , Li Jinhong , Balogun Zainab , Elgohari Baher , Skinner Heath , Johnson Jonas , Nilsen Marci L. 
Published: March 2024

ObjectivesThe purpose of this study is to determine the predictors of neck lymphedema and to explore its association with symptoms and patient‐reported outcomes (PROs) in Head and Neck Cancer (HNC) patients who underwent non‐operative treatment.MethodsThis study involved a cross‐sectional secondary analysis of data from patients diagnosed with head and neck squamous cell carcinoma who underwent radiation therapy (±chemotherapy). Patients with visits <6 weeks or >2 years following completion of radiation and those with recurrent or metastatic cancer were excluded. Presence of post‐treatment lymphedema, demographics, clinical characteristics, health‐related behaviors, and symptoms were collected. PROs were obtained using validated questionnaires that assessed depression, anxiety, swallowing dysfunction, and quality of life (QOL). Multivariable regression models were used to examine the relationship between lymphedema with predictors and symptoms.ResultsOf the 203 patients included, 88 (43.4%) developed post‐treatment lymphedema. In multivariable analysis, pre‐treatment Body Mass Index (BMI) (odds ratio [OR] = 1.07, 95% confidence interval [CI] [1.01, 1.14] p = 0.016) and N stage (OR = 1.96, 95% CI [1.06, 3.66], p = 0.032) were found to be independently associated with lymphedema. Regarding PROs, lymphedema was associated with greater swallowing dysfunction (3.48, 95% CI [0.20, 6.75], p = 0.038), decreased mouth opening (−3.70, 95% CI [−7.31, −0.10], p = 0.044), and increased fatigue (1.88, 95% CI [1.05, 3.38], p = 0.034).ConclusionHigher pre‐treatment BMI and greater N stage are identified as independent predictors for lymphedema development in non‐operative HNC patients. Additionally, patients experiencing lymphedema reported worsening swallowing dysfunction and increased symptoms related to trismus and fatigue. Recognizing patients at elevated risk for lymphedema allows for early intervention, alleviation of symptom burden, and optimization of health care resources.Level of Evidence4 Laryngoscope, 134:3656–3663, 2024