bluuebunny/crossref_metadata_2025_split huggingface dataset:
The prognostic and immune significance of KIF3C in pan-cancer and its relationship with malignant progression of gastric cancer
Authors: Zhong Qiangqiang , Zhu Mengpei , Huang Yumei , Wang Ziwen , Xiong Zhifan , Xiong Lina 
Published: October 2023

Abstract
Background
Kinesin Family Member 3C (KIF3C) assumes a crucial role in various biological processes and has been engaged in the initiation and deveopment of specific human cancers. Nevertheless, there exists a paucity of systematic assessments pertaining to the contribution of KIF3C in human malignancies. Furthermore, the significance of KIF3C in the context of diagnosing and prognosticating gastric cancer (GC) has yet to be thoroughly investigated. As a result, this study endeavors to undertake a comprehensive analysis of KIF3C and assess its potential diagnostic and prognostic value in GC.
Methods
We conducted an extensive analysis of Kinesin Family Member 3C (KIF3C), covering its expression profile, prognostic relevance, molecular function, tumor immunity, and drug sensitivity. Functional enrichment analysis was also carried out for gastric cancer using publicly accessible databases. In addition, we conducted in vitro experiments to substantiate the role of KIF3C in gastric cancer (GC).
Results
KIF3C expression demonstrated consistent elevation in various tumors in comparison to their corresponding normal tissues. Our study further unveiled that heightened KIF3C expression served as a prognostic indicator, and its elevated levels correlated with unfavorable clinical outcomes, encompassing reduced OS, DSS, and PFS in several cancer types. Notably, KIF3C expression exhibited positive associations with the pathological stages of BLCA, BRCA, COAD, COADREAD, KIRP, LIHC, LUNG, and THCA. Furthermore, KIF3C expression displayed distinct associations with 60 immune checkpoints, immunoregulators, TMB, and MSI. Moreover, KIF3C demonstrated varying relationships with the infiltration of various distinct immune cell types in gastric cancer. Functional analysis outcomes indicated that KIF3C played a role in the PI3K-AKT signaling pathway. Our analysis of drug sensitivity unveiled a positive relationship between KIF3C in gastric cancer and the IC50 values of the majority of identified anti-cancer drugs. Additionally, our cellular experiments demonstrated that KIF3C knockdown reduced the proliferation, migration, and invasion capabilities, increased apoptosis, and led to alterations in the cell cycle of gastric cancer cells.
Conclusion
Our research has revealed the significant and functional role of KIF3C as an tumorigenic gene in diverse cancer types. Additionally, we observed elevated KIF3C level in gastric cancer cells, and this upregulation was notably linked to an unfavorable prognosis among gastric cancer patients. These findings indicate that KIF3C may serve as a promising target for the treatment of gastric cancer.
Association between gut microbiota and osteoporosis from 2012 to 2023: Bibliometric analysis and global trends
Authors: Hou Wenyuan , Xiao Fangjun , Tian Jiaqing , He Xianshun , lu Shun , Lin Kun , Wei Tengfei , He Mincong , Wei Qiushi 
Published: October 2023

Abstract
Background
Osteoporosis (OP) is a chronic systemic metabolic bone disease. As the population ages, the prevalence of OP is gradually increasing, making it one of the significant public health problems worldwide. The gut microbiota (GM) is a complex microbial ecosystem that can affect bone metabolism through multiple pathways. Therefore, understanding the potential pathogenesis of the GM is crucial for preventing and treating OP.
Methods
We conducted a literature search encompassing English-language studies on the relationship between GM and OP published from 2012 to 2023 in the Web of Science Core Collection (WoSCC) database. We employed bibliometric analysis tools, including VOSviewer, CiteSpace, Scimago Graphica, and R Studio, to analyze global trends and research hotspots.
Results
We analyzed 647 eligible publications, comprising 426 articles and 221 reviews. Over the past 11 years, there has been a consistent exponential growth in the number of articles addressing GM and OP. The top three contributing countries (China, USA, and Japan) collectively accounted for 75.53% of all published articles. Chinese scholars have demonstrated remarkable academic productivity in this field, while American scholars have exhibited substantial academic impact. Furthermore, the University of Gothenburg emerged as the institution with the most significant number of papers related to the GM and OP relationship (n = 16), and the University of Pennsylvania boasted the highest average citation rate (value = 64.56). Among authors, Narayanan Parameswaran and Laura R. McCabe from the USA stood out for having the highest number of publications and the highest average citation value, respectively. Future research directions can be classified into five primary categories: "GM and OP," "immune regulation," "endocrine signaling factors," "GM metabolites," "brain-gut-bone," and "intestinal mucosal barrier."
Conclusion
Recent years have witnessed substantial progress in research on the role of the GM in OP. A comprehensive review of the published literature underscores the pivotal role of the GM in the pathogenesis and treatment of OP.
WITHDRAWN: The protective action of antioxidant and nitrogen fixation systems in soybean–Bradyrhizobium symbiosis under varying water conditions
Authors: Nyzhnyk Tetiana , Kiedrzyński Marcin , Kiedrzyńska Edyta , Kots Sergii , Zalewski Maciej 
Published: October 2023

Abstract

Background and Aims
Legumes can be supplied with environmental nitrogen and protected against climate change by the formation of effective symbiotic relationships with nodule bacteria. To create effective stress-resistant symbiotic systems with optimal nitrogen fixation potential and high tolerance to water stress, it is important to understand the roles of key pro-oxidant and antioxidant systems in the response to different water supplies.
Methods
Various symbiotic systems of soybean with Bradyrhizobium strains, differing in activity and virulence, were subjected to microbiological, biochemical and physiological testing.
Results
While antioxidant enzyme activity generally increased with length of water stress, it varied according to the enzyme complex and symbiotic system. Soybeans inoculated with effective rhizobia strains demonstrated effective regeneration after stress, with enzyme levels quickly recovering to control levels. All systems exhibited lipid peroxidation activation as a universal reaction to water deficit; however, the intensity varied with the level of antioxidant protection in the symbiosis. The less-effective and non-effective systems had less antioxidant protection, and thus high hydrogen peroxide and lipid peroxidation levels. The effective symbiotic systems exhibited minimal differences in nodulation between control and stressed plants, and efficient nitrogen fixation after re-watering.
Conclusions
The soybean-rhizobial systems that effectively used key antioxidant enzymes to regulate oxidative processes were able to more effectively maintain their optimal prooxidant-antioxidant balance and better tolerate poor water supply. However, the coordinated participation of both the macrosymbiont and microsymbiont was needed to maximize nitrogen fixation and support their protective mechanisms in conditions of water stress.
Monthly precipitation prediction based on the EMD–VMD–LSTM coupled model
Authors: Guo Shaolei , Sun Shifeng , Zhang Xianqi , Chen Haiyang , Li Haiyang 
Published: October 2023

Abstract

Precipitation prediction is one of the important issues in meteorology and hydrology, and it is of great significance for water resources management, flood control, and disaster reduction. In this paper, a precipitation prediction model based on the empirical mode decomposition–variational mode decomposition–long short-term memory (EMD–VMD–LSTM) is proposed. This model is coupled with EMD, VMD, and LSTM to improve the accuracy and reliability of precipitation prediction by using the characteristics of EMD for noise removal, VMD for trend extraction, and LSTM for long-term memory. The monthly precipitation data from 2000 to 2019 in Luoyang City, Henan Province, China, are selected as the research object. This model is compared with the standalone LSTM model, EMD–LSTM coupled model, and VMD–LSTM coupled model. The research results show that the maximum relative error and minimum relative error of the precipitation prediction using the EMD–VMD–LSTM neural network coupled model are 9.64 and −7.52%, respectively, with a 100% prediction accuracy. This coupled model has better accuracy than the other three models in predicting precipitation in Luoyang City. In summary, the proposed EMD–VMD–LSTM precipitation prediction model combines the advantages of multiple methods and provides an effective way to predict precipitation.
Common Neuropsychiatric Symptoms in Alzheimer’s Disease, Mild
Cognitive Impairment, and Subjective Memory Complaints: A Unified
Framework
Authors: Warren Samuel L. , Hamza Eid Abo , Tindle Richard , Reid Edwina , Whitfield Paige , Doumit Adam , Moustafa Ahmed A. 
Published: October 2023

Abstract:
The Alzheimer’s disease (AD) continuum is a unique spectrum of cognitive impairment that typically involves the stages of subjective memory complaints (SMC), mild cognitive
impairment (MCI), and AD dementia. Neuropsychiatric symptoms (NPS), such as apathy, anxiety, stress, and depression, are highly common throughout the AD continuum. However, there is a
dearth of research on how these NPS vary across the AD continuum, especially SMC. There is also disagreement on the effects of specific NPS on each stage of the AD continuum due to their collinearity with other NPS, cognitive decline, and environmental factors (e.g., stress). In this article,
we conduct a novel perspective review of the scientific literature to understand the presence of
NPS across the AD continuum. Specifically, we review the effects of apathy, depression, anxiety,
and stress in AD, MCI, and SMC. We then build on this knowledge by proposing two theories of
NPS’ occurrence across the AD continuum. Consequently, we highlight the current landscape, limitations (e.g., differing operationalization), and contentions surrounding the NPS literature. We also outline theories that could clear up contention and inspire future NPS research
Potential Neuroprotective Strategies using Smart Drug Delivery Systems
for Alzheimer’s Disease
Authors: Khan Javed , Yadav Shikha , Alam Md. Aftab 
Published: October 2023

Background:
Alzheimer's disease (AD) is the most common neurological disorder, affecting more than 50 million individuals worldwide and causing gradual but progressive cognitive
decline. The rising cost of medical treatment is mostly attributable to AD. There are now mainly a
few slightly symptomatic therapeutic options accessible. Although this is not the primary reason,
the failure to develop effective treatments for AD is often attributed to the disease's complicated
pathophysiology and the wide range of underlying ideas.

Objective:
Studies undertaken over the past decade have aimed to find novel methods of overcoming these barriers and effectively delivering drugs to the central nervous system. As a result, nanotechnology provides a promising alternative to the standard means of administering anti-amyloidosis drugs, enhancing expectations for a successful treatment of Alzheimer's disease. These therapeutic implications of using nanoparticle-based approaches for the treatment of Alzheimer's disease are discussed in this paper.

Methodology:
Published articles from PubMed, SciFinder, Google Scholar, ClinicalTrials.org,
and the Alzheimer Association reports were carefully examined to compile information on the
various strategies for combating AD. That has been studied to summarize the recent advancements and clinical studies for the treatment of Alzheimer's disease (AD). Statistics is the study and
manipulation of data, including ways to gather, review, analyze, and draw conclusions from data.

Conclusion:
The biology of the BBB and its processes of penetration must be carefully taken into
account while creating DDSs. If we have a better grasp of the disease's mechanism, we might be
able to overcome the shortcomings of current treatments for AD. Different DDSs show interesting
properties for delivering medication tailored to the brain. This review paper examines the recent
applications of DDSs in diverse domains. By selecting the best targeting vectors and optimizing
the combination of carriers, multifunctionalized DDS may be produced, and these DDS have a significant impact on AD therapy potential. To develop DDSs with the best therapeutic efficacy and
manageable side effects, experts from a variety of fields may need to contribute their efforts. Currently, the therapeutic use of nanotechnology-based DDSs appears to be a promising prospect for
AD therapy, and as the pathophysiology of AD is better understood, this strategy will develop
over time.
Circulating Metabolomic Associations with Neurocognitive Outcomes in Pediatric CKD
Authors: Lee Arthur M. , Xu Yunwen , Hooper Stephen R. , Abraham Alison G. , Hu Jian , Xiao Rui , Matheson Matthew B. , Brunson Celina , Rhee Eugene P. , Coresh Josef , Vasan Ramachandran S. , Schrauben Sarah , Kimmel Paul L. , Warady Bradley A. , Furth Susan L. , Hartung Erum A. , Denburg Michelle R. ,   on behalf of the CKD Biomarkers Consortium
Published: October 2023

Background
Children with CKD are at risk for impaired neurocognitive functioning. We investigated metabolomic associations with neurocognition in children with CKD.

Methods
We leveraged data from the Chronic Kidney Disease in Children (CKiD) study and the Neurocognitive Assessment and Magnetic Resonance Imaging Analysis of Children and Young Adults with Chronic Kidney Disease (NiCK) study. CKiD is a multi-institutional cohort that enrolled children aged 6 months to 16 years with eGFR 30–90 ml/min per 1.73 m2 (n=569). NiCK is a single-center cross-sectional study of participants aged 8–25 years with eGFR<90 ml/min per 1.73 m2 (n=60) and matched healthy controls (n=67). Untargeted metabolomic quantification was performed on plasma (CKiD, 622 metabolites) and serum (NiCK, 825 metabolites) samples. Four neurocognitive domains were assessed: intelligence, attention regulation, working memory, and parent ratings of executive function. Repeat assessments were performed in CKiD at 2-year intervals. Linear regression and linear mixed-effects regression analyses adjusting for age, sex, delivery history, hypertension, proteinuria, CKD duration, and glomerular versus nonglomerular diagnosis were used to identify metabolites associated with neurocognitive z-scores. Analyses were performed with and without adjustment for eGFR.

Results
There were multiple metabolite associations with neurocognition observed in at least two of the analytic samples (CKiD baseline, CKiD follow-up, and NiCK CKD). Most of these metabolites were significantly elevated in children with CKD compared with healthy controls in NiCK. Notable signals included associations with parental ratings of executive function: phenylacetylglutamine, indoleacetylglutamine, and trimethylamine N-oxide—and with intelligence: γ-glutamyl amino acids and aconitate.

Conclusions
Several metabolites were associated with neurocognitive dysfunction in pediatric CKD, implicating gut microbiome–derived substances, mitochondrial dysfunction, and altered energy metabolism, circulating toxins, and redox homeostasis.

Podcast
This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_11_17_CJN0000000000000318.mp3
Associations of Biomarkers of Tubular Injury and Inflammation with Biopsy Features in Type 1 Diabetes
Authors: Limonte Christine P. , Prince David K. , Hoofnagle Andrew N. , Galecki Andrzej , Hirsch Irl B. , Tian Frances , Waikar Sushrut S. , Looker Helen C. , Nelson Robert G. , Doria Alessandro , Mauer Michael , Kestenbaum Bryan R. , de Boer Ian H. 
Published: October 2023

Background
Whether biomarkers of tubular injury and inflammation indicate subclinical structural kidney pathology early in type 1 diabetes remains unknown.

Methods
We investigated associations of biomarkers of tubular injury and inflammation with kidney structural features in 244 adults with type 1 diabetes from the Renin-Angiotensin System Study, a randomized, placebo-controlled trial testing effects of enalapril or losartan on changes in glomerular, tubulointerstitial, and vascular parameters from baseline to 5-year kidney biopsies. Biosamples at biopsy were assessed for kidney injury molecule 1 (KIM-1), soluble TNF receptor 1 (sTNFR1), arginine-to-citrulline ratio in plasma, and uromodulin and epidermal growth factor (EGF) in urine. We examined cross-sectional correlations between biomarkers and biopsy features and baseline biomarker associations with 5-year changes in biopsy features.

Results
Participants' mean age was 30 years (SD 10) and diabetes duration 11 years (SD 5); 53% were women. The mean GFR measured by iohexol disappearance was 128 ml/min per 1.73 m2 (SD 19) and median urinary albumin excretion was 5 μg/min (interquartile range, 3–8). KIM-1 was associated with most biopsy features: higher mesangial fractional volume (0.5% [95% confidence interval (CI), 0.1 to 0.9] greater per SD KIM-1), glomerular basement membrane (GBM) width (14.2 nm [95% CI, 6.5 to 22.0] thicker), cortical interstitial fractional volume (1.1% [95% CI, 0.6 to 1.6] greater), fractional volume of cortical atrophic tubules (0.6% [95% CI, 0.2 to 0.9] greater), and arteriolar hyalinosis index (0.03 [95% CI, 0.1 to 0.05] higher). sTNFR1 was associated with higher mesangial fractional volume (0.9% [95% CI, 0.5 to 1.3] greater) and GBM width (12.5 nm [95% CI, 4.5 to 20.5] thicker) and lower GBM surface density (0.003 μm2/μm3 [95% CI, 0.005 to 0.001] lesser). EGF and arginine-to-citrulline ratio correlated with severity of glomerular and tubulointerstitial features. Baseline sTNFR1, uromodulin, and EGF concentrations were associated with 5-year glomerular and tubulointerstitial feature progression.

Conclusions
Biomarkers of tubular injury and inflammation were associated with kidney structural parameters in early type 1 diabetes and may be indicators of kidney disease risk.

Clinical Trial registry name and registration number
Renin Angiotensin System Study (RASS/B-RASS), NCT00143949

Podcast
This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_11_17_CJN0000000000000333.mp3
Participant Experience with Protocol Research Kidney Biopsies in the Kidney Precision Medicine Project
Authors: Victoria-Castro Angela M. , Corona-Villalobos Celia P. , Xu Alan Y. , Onul Ingrid , Huynh Courtney , Chen Sarah W. , Ugwuowo Ugochukwu , Sarkisova Natalya , Dighe Ashveena L. , Blank Kristina N. , Blanc Victoria M. , Rose Michael P. , Himmelfarb Jonathan , de Boer Ian H. , Tuttle Katherine R. , Roberts Glenda V. ,   for the Kidney Precision Medicine Project
Published: October 2023

Background
Kidney biopsies are procedures commonly performed in clinical nephrology and are increasingly used in research. In this study, we aimed to evaluate the experiences of participants who underwent research kidney biopsies in the Kidney Precision Medicine Project (KPMP).

Methods
KPMP research participants with AKI or CKD were enrolled at nine recruitment sites in the United States between September 2019 and January 2023. At 28 days postbiopsy, participants were invited to complete a survey to share their experiences, including motivation to participate in research, comprehension of informed consent, pain and anxiety during and after the biopsy procedure, overall satisfaction with KPMP participation, and effect of the study on their lives. The survey was developed in collaboration with the KPMP Community Engagement Committee and the Institute of Translational Health Sciences at the University of Washington.

Results
One hundred and eleven participants completed the survey, 23 enrolled for AKI and 88 for CKD. The median age was 61 (interquartile range [IQR], 48–67) years, 43% were women, 28% were Black, and 18% were of Hispanic ethnicity. Survey respondents most commonly joined KPMP to help future patients (59%). The consent form was understood by 99%, and 97% recognized their important role in this study. Pain during the biopsy was reported by 50%, at a median level of 1 (IQR, 0–3) on a 0–10 scale. Anxiety during the biopsy was described by 64% at a median level of 3 (IQR, 1–5) on a 0–10 scale. More than half conveyed that KPMP participation had an effect on their diet, physical activity, and how they think about kidney disease.

Conclusions
KPMP survey respondents were most commonly motivated to participate in research protocol kidney biopsies by altruism, with excellent understanding of the informed consent process.
Measuring Financial Statement Disaggregation Using XBRL
Authors: Johnston Joseph A. , Reichelt Kenneth J. , Sapkota Pradeep 
Published: October 2023

ABSTRACT
We develop a measure of disclosure quality using disaggregation of financial statement items from the Form 10-K XBRL filing. Our measure (ITEMS) extends Chen, Miao, and Shevlin’s (2015)DQ measure and is distinct from R. Hoitash and U. Hoitash’s (2018)ARC measure. Our measure provides a simple measure of disaggregation by counting the balance sheet and income statement line items, it does not depend on the data aggregators’ collection process and is readily available shortly after the Form 10-K is filed. We validate ITEMS by showing that firm fundamentals correlate to ITEMS in the predicted direction using OLS regression. We find that ITEMS explains consequences of disclosure quality: forecast error, forecast dispersion, bid-ask spread, and cost of equity capital. Further, ITEMS has explanatory power of disclosure quality consequences incremental to DQ and ARC, and it is distinct from ARC evident from different associations with disclosure quality consequences and reporting quality.
Data Availability: Data are available from public sources identified in the text.
JEL Classifications: M10; M40; M41.
Autopsy Discoveries in Severe Malaria
Authors: Indrayana Mohammad Tegar , Afandi Dedi , Romus Ilhami , Lesmana Suri D. 
Published: October 2023

Severe malaria is a disease caused by Plasmodium falciparum as the main cause of death in malaria. As autopsy examinations on malaria are rare in Indonesia, we report a nineteen-year-old male from Dumai, Indonesia, who died of severe malaria on November 10th 2018, at Dumai Regional General Hospital of Riau Province. The diagnosis was concluded from autopsy, histopathology and toxicology. This case report aimed to explain autopsy findings in severe malaria. As the result of external examination, we found some bruises on the right earlobe, lip mucosa and lower leg; excoriations on the neck, both arms and right lower leg; excoriations on the right lower leg and blood infiltration in the connective tissue on the right intercostal space. The autopsy and histopathology examination showed signs of congestion and hemozoin pigment in the brain, small intestine, liver, lung, heart, kidney, stomach and spleen. On toxicology examination, there was no narcotic substance found. Based on autopsy findings, histopathology and toxicological findings, we conclude that the cause of death, in this case, was severe malaria. Blunt violence to the ears, lips, neck, arms, and legs did not significantly cause death.