bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigating the association between periodontal disease and Alzheimer's disease: a scoping review
Authors: Zhang Xiaocui , Chang Diemeng , Wu Yanli 
Published: April 2024

Abstract

Background
The objective of this study was to evaluate and present evidence from animal and human clinical studies on associations between periodontal disease (PD) and Alzheimer's disease (AD), and to suggest potential mechanisms that might explain such associations.
Methods
An electronic search was conducted of PubMed, Embase and Cochrane Central Register of Controlled Trials for articles published from 2004to 2024 in the English language. From the initial search, 357 full-text studies were assessed for eligibility. After excluding studies for technical and study limitations, a total of 39 studies were included in the summary tables and additional studies were included in the review to support evidence.
Results
A total of 39 studies on the correlation between periodontal disease (PD) and Alzheimer 's disease (AD) were included in this study. Among them, 22 articles were related studies, and 20 studies showed that there was a correlation between PD and AD. 15 articles were related to mechanism research, and the research showed that PD is associated with brain Aβ and tau protein aggregation, the inflammatory response caused by PD is closely related to AD and P. gingivalis is closely related to the development of AD. Two latest treatment studies, studies have shown that gingipain inhibitors could be valuable for treating Pg brain colonization and neurodegeneration in AD and nisin abrogation of brain microbiome dysbiosis induces beneficial effects on AD-like pathogenic changes and neuroinfammation.
Conclusions
This scoping review shows that periodontal disease (PD) is associated with the progression of Alzheimer 's disease (AD). PD has been proposed as a potentially modifiable etiological factor for AD, which opens up new therapeutic strategies for the prevention or management of AD.
Transcriptomic analysis revealed that multiple metabolic pathways involved in the synergy response to salt stress induced by exogenous GABA at different stages in tomato plants
Authors: Wu Xiaolei , Yuan Ding , Jiang Shiqing , Chen Lida , Gong Binbin , Lü Guiyun , Li Jingrui , Gao Hongbo 
Published: April 2024

Abstract

Background
Plant salt tolerance is controlled by complex metabolic pathways. Gamma-aminobutyric acid (GABA) can act as a signaling molecule and metabolite to enhance plant salt tolerance. However, it is not clear which metabolic pathway and gene plays a major role in the defense system under the continuous influence of salt stress. The transcriptome data and metabolite analysis of 33 samples of tomato (Solanum lycopersicum L.) seedling leaves under 175 mmol·L−1 stress for 0-96 h showed that the GABA+Na (GN) group showed strong salt tolerance.
Results
The time-dependent pattern of gene enrichment showed that the gene changes were mainly concentrated at 6 h, 48 h and 96 h. The amino acid synthesis, especially GABA, and some transporter-related genes play an important role in increasing the amino acid content of GN group plants. Accumulation of L-Phenylalanine induces upregulation and flavonoid accumulation of key genes in the phenylpropane and flavonoid pathways. Gene changes in the zeatin biosynthesis pathway explained the increase in zeatin. The up-regulated expression of major ion transporters and sugar transporters indicated that GABA maintained a relatively stable osmotic pressure by accelerating ion regionalization and regulating entry of small molecules into cells. AP2/ERF, bHLH and MYB transcription factors may play a regulatory role in this process.
Conclusions
Our study proposes a new temporal time model to elucidate various metabolic pathways, as well as amino acids, sugars, ion transporter and transcription factors how do synergize in GABA at different stages of salt stress tolerance in tomato.
Urban sprawl impact assessment on the land surface temperature over the green capital of Gujarat using a geo-spatial approach
Authors: Kalyan Sandeep , Pathak Bhawana 
Published: April 2024

Abstract

In developing countries, examining land use land cover (LULC) change pattern is crucial to understand the land surface temperature (LST) effect as urban development lacks coherent policy planning. The variability in LST is often determined by continuously changing LULC pattern. In this study LULC change effect analysis on LST has been carried out using geometric and radiometric corrected thermal bands of multi-spectral Landsat 7 ETM + and 8 TIRS/OLI satellite imagery over Gandhinagar, Gujarat in the years 2001 and 2022 respectively. Maximum likelihood classification (MLC) was applied to assess LULC change while NDVI-based single channel algorithm was used to retrieve LST using google earth engine (GEE). Results showed a substantial change in built-up (+ 347.08%), barren land (-50.74%) and vegetation (-31.66%). With change in LULC and impervious surfaces, the mean LST has increased by 5.47 ℃. The impact of sparse built-up was seen on vegetation and agriculture as maximum temperature of > 47℃ was noticed in all LULC classes except agriculture where the temperature reached as high as > 49℃ in 2022. Since Gandhinagar is developing on a twin-city (Gandhinagar-Ahmedabad) plan this study could be used as scientific basis for sustainable urban planning to overcome dynamic LULC change impacts.
Determination of Boric acid by ICP-AES and ICP-MS in Caviars and Processed food
Authors: Shin Jae-Wook , Kim Jung-Bok 
Published: April 2024

Abstract

. Boric acid is authorized as food additive in EU. However, it is not authorized for use in Korea. The analytical method of boric acid in foods has not been reported in Korea. In this study, an analytical method has been developed and validated for the determination of boric acid in caviars. We established the analytical assay for boric acid in caviars by Inductively Coupled Plasma Mass Spectrometry(ICP-MS). Caviar samples were digested in closed vessels made of PTFE in an Automatic Microwave Digestion System. We also performed a method validation including linearity, inter-day, intra-day, precision, accuracy, Limit of detection (LOD) and Limit of Quantitation(LOQ) and recovery. The calibration curve was obtained from 0.2 µg/mL to 10 µg/mL with a satisfactory correlation coefficient of 0.99. The LOD and LOQ were 0.04 µg/mL and 0.16 µg/mL. The recoveries of boric acid from spiked samples at levels of 0.5, 2 and 10 µg/mL ranged from 91.8 to 98.3% with relative standard deviation(RSD) between 0.4 and 2.4 %.
Diversity in endodontic Enterococcus faecalis from Brazil with high occurrence of ST 397 clone
Authors: LINS RENATA , FREITAS FERNANDA , VICENTE ANA CAROLINA 
Published: April 2024

Abstract
Objectives: The aim of this study was to assess the genetic relatedness of E. faecalis strains from primary endodontic infections in Brazil, test the hypothesis of clones infecting unrelated individuals, and examine the antimicrobial resistance profile.
Materials and Methods: The genetic relationship of 32 endodontic E. faecalis were investigated by multilocus sequecing typing (MLST). These isolates were collected from unrelated patients with primary endodontic infection treated in Brazil between 2010 and 2023. Antimicrobial susceptibility testing was performed using the disk diffusion technique according to the Clinical Laboratory Standard Institute.
Results: 12 sequence types (STs) were detected, of which 8 STs contained only one strain. We found clones of ST 30, ST40, ST 97 and ST 397, with a high frequency of the latter (15/32). Susceptibility to the antimicrobial agents tested varied, with the highest percentage of resistance observed for clindamycin (100%), tetracycline (34.4%), azithromycin (31.2%) and ciprofloxacin (19.2%). One isolate was multidrug resistant.
Conclusions: MLST of endodontic E. faecalis showed clones infecting different individuals in different cities up to 10 years apart with high occurrence of ST 397. This data, together with the literature, raise the concern that there may be clones specialized in endodontic infections. Further MLST studies are needed, as well as surveillance for antimicrobial resistance in endodontic isolates.
Clinical Relevance: Enterococcus faecalis is a common cause of nosocomial infections and is frequently associated with root canal infections. The identification of clones specialized in endodontic infections may lead to more effective therapeutic strategies.
Understand Public Perspectives about “Industrial worker health” Based on Weibo Data : Content Analysis and Topic Modeling Study
Authors: Wang Pingping , Yao Jin , Li Yaqiong , Zhai Yuqiang , Lu Shouting , Huang Xiaorong 
Published: April 2024

Abstract
Background
Promoting the construction of a healthy China is a national strategy to comprehensively enhance the health quality of the Chinese nation and achieve coordinated development between people’s health and the economy and society. Strengthening safety production and occupational health work, improving working conditions, and enhancing the health quality of industrial workers are important aspects of building a healthy China. However, there is currently a lack of research on the content of speeches on online platforms such as Sina Weibo.
Objective
This study used a web crawler approach to obtain people’s opinions about “Industrial worker health”.We investigated the value of Chinese social media and related public perceptions and response. The goal was to determine if this data is suitable for public response.Through this exploration, the paper seeks to provide evidence-based recommendations to enhance the alignment of digital public opinion with the overarching goals of the “Healthy China” strategy, ultimately promoting the health and welfare of the industrial workforce.
Methods
This paper employed cutting-edge web scraping techniques to harvest data from the prominent social media platform, Sina Weibo. Through the application of sophisticated data collection tools, specifically the “Houyi Collector”, the study focuses on the keyword “industrial workers' health” to extract relevant information from Sina Weibo, thereby capturing the pulse of online discussions regarding the health concerns and awareness of industrial laborers.The gathered dataset is then meticulously analyzed using the Latent Dirichlet Allocation (LDA) topic modeling technique to identify and categorize the principal themes and trends that prevail in the online conversations. This analytic approach is intended to uncover the breadth and trajectory of public attention and attitudes toward the well-being of industrial workers within the context of the “Healthy China” initiative.
Results
By illuminating the digital footprint of health-related industrial worker discourses on a major Chinese social media platform, this research contributes a nuanced understanding of the virtual labor community’s engagement with health issues.
Conclusions
The insights derived from the LDA topic modeling are set to inform stakeholders, including policymakers, health advocates, and industrial enterprises, regarding the focal points and sentiments that shape the online narrative on industrial workers’ health in China.
Virtual Reality Simulator: Unveiling the "Inner" Skills of Endoscopists
Authors: Zhao Bei , Sun Wenqi , Wu Xinrong , Li Yifan , Wang Weiwei , Dou Xiaotan , Li Wen , Wang Lei , Chen Min 
Published: April 2024

Abstract
Background
This study aimed to create a simulation-based assessment system for evaluating endoscopist proficiency due to the absence of evidence-based scoring systems.
Methods
After feasibility and clinical relevance assessments of simulator modules by gastroenterology experts, a colonoscopy module with relatively high operational difficulty was chosen for testing and underwent preliminary validation. Additionally, a questionnaire was designed to collect information about endoscopist experience, including the number of colonoscopy and gastroscope performed, insertion time, cecal intubation rate, early colorectal cancer detection rate. Subsequently, 38 physicians from our hospital's endoscopy center completed the questionnaire and underwent virtual reality simulator training. The endoscopist's proficiency was assessed in real-time based on scoring criteria, including total operation time, percentage of examined mucosa, time to reach the cecum, screening efficiency, proportion of time with clear vision, and total time spent on colonoscope looping.
Results
In our study, no statistically significant differences were found among endoscopy experts, specialist attending physicians, and resident physicians in terms of their experience and early cancer detection rates (P > 0.05). However, the VR system scores, including operational completion time, time to reach the cecum, and the percentage of observed mucosa, were correlated with the number of colonoscopies completed by the endoscopists (P < 0.05). Operational completion time and time to reach the cecum were strongly correlated with usual insertion times (P < 0.001), and the percentage of observed mucosa score was related to early disease detection rates. Notably, screening efficiency and endoscopic clarity scores were not correlated with physicians' disease detection rates (P > 0.05).
Conclusion
Virtual reality endoscopy can be utilized to assess endoscopist proficiency and provide targeted guidance to enhance their clinical practice. Based on these findings, further expansion and enrichment of simulator content, as well as optimization of training methods, can be pursued promisingly in the future.
Effect of an intervention for organizing mental health care in primary health care
Authors: Eshriqui Ilana , de Almeida Letícia Yamawaka , de Mendonça Joana Moscoso Teixeira , Anazawa Leandro , Belotti Lorrayne , Fortes Sandra , Sousa Ana Alice Freire , de Souza Evelyn Lima , Teodoro Claudielle de Santana , Bonfim Daiana , Junior Joel Siqueira , Bandeira Antonio Cleilson Nobre , Correia Lucas Reis 
Published: April 2024

Abstract
Background
The “Mental Health Care in Primary health Care (PHC)” project (SMAPS, from Portuguese) was developed in six health districts from three Brazilian states. Considering the gap and relevance of monitoring and assessing mental health (MH) care in real-world settings using data from service records, this study aimed to evaluate the effect of SMAPS on MH indicators in PHC.
Methods
This is a pilot study conducted between January 2022 and September 2023. The sample comprised 18 basic health units (BHU) in 14 municipalities, which were in one of the three Brazilian states that adhered to SMAPS and assigned to one of two groups: intervention and control (2:1). Secondary data were collected at two times using the same instrument to systematize the retrieval of aggregated data, which were extracted from management reports from BHU or municipalities departments. Data analysis was performed using descriptive statistics at the BHU or municipality level.
Results
The rate of referrals to MH specialties per consultation with a MH classifications record declined in intervention (75.3%) and control group (63.2%). The percentage of benzodiazepine medications dispensed for PHC decreased from 16.1–11.3% in intervention group municipalities but increased from 20.3–24.1% in control group. An inverse pattern was observed for antipsychotic, anticonvulsant, and antidepressant medications (increased from 82.2–86.2% in intervention group municipalities and declined from 77.6–74.4% in control group). There was no difference in suicide death rates on average across municipalities, but some variations were observed when analyzing each health district separately. Indicators related to the diagnosis of mental disorders and collective activities were also collected, however important inconsistencies were observed in the data collected for both groups.
Conclusion
The present pilot study points to potential effects of SMAPS for organizing MH care in PHC, especially regarding the referrals to specialty mental health care and the dispensation of psychotropic medications. Thus, contributes to the formulation of proposals for evaluating MH care based on data already available from records and reports from health services and emphasizes the need to improve the quality of MH care recording in PHC work routines.
Evidence for faulting and fluid-driven earthquake processes from seismic attenuation variations beneath Los Angeles
Authors: Nardoni Chiara , Persaud Patricia 
Published: April 2024

Abstract

Seismicity in the Los Angeles metropolitan area has been primarily attributed to the regional stress loading. Below the urban areas, earthquake sequences have occurred over time showing migration off the faults and providing evidence that secondary processes may be involved in their evolution. Combining high-frequency seismic attenuation with other geophysical observations is a powerful tool for understanding which Earth properties distinguish regions with ongoing seismicity. We develop the first high-resolution 3D seismic attenuation models across the region east of downtown Los Angeles using 5,300 three-component seismograms from local earthquakes recorded by a dense seismic array. We present frequency-dependent peak delay and coda-attenuation tomography as proxies for seismic scattering and absorption, respectively. The scattering models show high sensitivity to the seismicity. High scattering volumes align with zones of profuse seismicity, such as across the Cucamonga and San Andreas faults, while a channel of low scattering extends from near the San Andreas fault westward. In the vicinity of the Fontana seismic sequence, high absorption, low scattering, and seismicity migration across a fault network suggest fluid-driven processes. Our attenuation and fault network imaging characterize near-fault zones and rock-fluid properties beneath the study area for future improvements in seismic hazard evaluation.
Bridging Distribution Gaps: Invariant Pattern Discovery for Dynamic Graph Learning
Authors: Jin Yucheng , Wang Maoyi , Xiong Yun , Ren Zhizhou , Huo Cuiying , Zhu Feng , Zhang Jiawei , Wang Guangzhong , Chen Haoran 
Published: April 2024

Abstract

Temporal graph networks (TGNs) have been proposed to facilitate learning ondynamic graphs which are composed of interaction events among nodes. How-ever, existing TGNs suffer from poor generalization under distribution shifts thatoccur over time. It is vital to discover invariant patterns with stable predictivepower across various distributions to improve the generalization ability. Invari-ant pattern discovery on dynamic graphs is non-trivial, as long-term history ofinteraction events is compressed into the memory by TGNs in an entangled way,making invariant pattern discovery difficult. Furthermore, TGNs process inter-action events chronologically in batches to obtain up-to-date representations.Each batch consisting of chronologically-close events lacks diversity for identify-ing invariance under distribution shifts. To tackle these challenges, we proposea novel method called Smile, which stands for Structural teMporal InvariantLEarning. Specifically, we first propose the disentangled graph memory network,which selectively extracts pattern information from long-term history throughthe disentangled memory gating and attention network. The interaction historyapproximator is further introduced to provide diverse interaction distributionsefficiently. Smile guarantees prediction stability under diverse temporal-dynamic distributions by regularizing invariance under cross-time distribution interven-tions. Experimental results on real-world datasets demonstrate that Smileoutperforms baselines, yielding substantial performance improvements.
SIRT2-mediated deacetylation of Glutathione transferase alleviates oxidative damage and increases heat tolerance of Pleurotus ostreatus
Authors: Chai Qianqian , Li Huihui , Liu Yuandong , Wen Qing , Liu Qing , Qi Yuancheng , Wang Fengqin , Shen Jinwen , Hu Yanru 
Published: April 2024

Abstract

High-temperature stress (HS) is the most important environmental factor that affects crop growth. It seriously threatens agricultural production. Pleurotus ostreatus is cultivated in many parts of the world, and its growth is strongly affected by HS. In another study, we found that metabolic rearrangement occurred in HS, but the gene expression levels of some key enzymes remained unchanged. Therefore, in this study, we investigated the contribution of post-translational modification of proteins to HS resistance in P. ostreatus. Acetylation is a conserved and important post-translational modification of proteins in vivo, and its main function is to regulate metabolic processes. We found that the level of acetylation of P. ostreatus decreased under short-term HS treatment and increased as the duration of HS treatment increased. The acetylation omics showed that almost all metabolic enzymes were acetylated. Ten antioxidant-related proteins, four acetylated proteins, and one deacetylated protein (SIRT2) were screened and identified in the differentially modified group between heat stress and normal conditions. A low concentration of the SIRT family substrate NAM (1 mM) was added to decrease the intracellular acetylation level. We found that deacetylation under heat stress can improve the growth recovery ability of mycelia, matrix-degrading enzyme activity, and antioxidant content (NADPH and GSH). Deacetylation can also decrease the H2O2 level after heat stress. Further studies showed that SIRT2 increased the activity of GSTs by deacetylating GST1 66K, GST2 206K, and GST2 233K. We found that lysine acetylation occurred in P. ostreatus, and thus, we assessed the importance of the acetylation of non-histone proteins under HS.
Pretreatment of GPER agonist G1 protects male mice from septic-induced cardiomyopathy via increasing mitochondria fusion against dysregulated linoleic acid / arachidonic acid metabolism
Authors: Feng Xiaojing , Han Dong , Hu Li , Wang Beibei , Xia Rui , Wang Tingting , Huang Fangmin , Wu Jing 
Published: April 2024

Abstract
Background
G protein-coupled estrogen receptor (GPER) are involved in the sex dimorphism of sepsis- induced cardiomyopathy (SIC), but its protective role and metabolic mechanism in male remain unclear. We investigated whether GPER could attenuate SIC by improving metabolic remodeling.
Methods
Male mice were subjected to cecal ligation and puncture (CLP) surgery to induce SIC with pretreatment of GPER agonist G1 or without.
Results
G1 mitigate CLP-induced cardiac dysfunction, inflammatory injury and hypertrophy in male mice. G1 upregulated the expression of mitochondrial fusion proteins (OPA1 and MFN2) and DRP1-ser 637 which improved stress-induced mitochondria fragmentation. Untargeted metabolomics showed G1 pretreatment down-regulated the widely up-regulated metabolism and other activated biological processing after CLP, including the metabolism of lipid, amino acid and nucleotide, membrane transport (ABC transporters) and signal transduction (mTOR signaling pathway). Specifically, G1 modulated the linoleic acid (LA) metabolism (rich factor = 0.071, P = 0.0035) and arachidonic acid (AA) metabolism (rich factor = 0.024, P = 0.0236), which might attribute to its anti-inflammatory effect.
Conclusions
GPER confers cardiac protection from structure and function injury after CLP through increasing mitochondrial fusion. Untargeted metabolomics unravels an intriguing link between GPER activation and cardiac metabolism and highlights its modulation on dysregulated metabolism, especially on homeostasis of LA/AA metabolism.