PeerJ
type: channel
link: https://peerj.com/articles/
description: Articles published in PeerJ
publisher: PeerJ Inc.
publication name: PeerJ
issn: 2167-8359
items: Effects of exergaming on executive function of older adults: a systematic review and meta-analysis
items: A model of multiple tumor marker for lymph node metastasis assessment in colorectal cancer: a retrospective study
items: A long noncoding RNA GTF2IRD2P1 suppresses cell proliferation in bladder cancer by inhibiting the Wnt/β‑catenin signaling pathway
items: The effect of the COVID-19 pandemic on health care workers’ anxiety levels: a meta-analysis
items: Diel gene expression improves software prediction of cyanobacterial operons
items: Times and partners are a-changin’: relationships between declining food abundance, breeding success, and divorce in a monogamous seabird species
items: The effect of delirium information training given to intensive care nurses on patient care: quasi-experimental study
items: Quantitative trait loci mapping and candidate gene analysis of stoma-related traits in wheat (Triticum aestivum L.) glumes
items: https://peerj.com/articles/13271
items: The regulation of hsacirc_004413 promotes proliferation and drug resistance of gastric cancer cells by acting as a competing endogenous RNA for miR-145-5p

Effects of exergaming on executive function of older adults: a systematic review and meta-analysis
type: item
type: AcademicArticle
description: Background Executive function (EF) involves a series of high-level processes, such as inhibition, switching, and updating. Aging-related cognitive decline has been shown to be strongly associated with EF worsening. The aims of this study were to perform a meta-analysis to evaluate the effects of exergaming, an emerging intervention, on EF performance in older adults and to conduct a moderator analysis of exergaming effects on EF. Methods Randomized controlled trials examining exergaming influences on EF in older adults were collated by searching the Web of Science, Elsevier Science, PubMed, and Google Scholar databases. Statistical data were quantified in Comprehensive Meta-analysis software. Overall EF and EF domains (inhibition, switching, and updating) were analyzed separately. Results A total of 15 studies were included. The meta-analysis results indicated that exergaming had a significant influence on overall EF in the older adult (standardized mean difference (SMD) = 0.349, 95% confidence interval (CI) [0.191–0.506], p < 0.001). The same effects were also found in EF domains of inhibition (SMD = 0.415, 95% CI [0.102–0.729], p = 0.009), switching (SMD = 0.243, 95% CI [0.071–0.415], p = 0.005), and updating (SMD = 0.366, 95% CI [0.140–0.592], p = 0.002). The effects of exergaming on overall EF were found to be moderated by the frequency of the intervention (Q(1) = 3.537, p = 0.06). Conclusion Exergaming was confirmed to improve overall EF, as well as in older adults, and the effect of exergaming on EF was shown to be moderated by intervention frequency.
format: application/pdf
format: text/html
creator: Jiahui Jiang
creator: Wei Guo
creator: Biye Wang
subject: Geriatrics
subject: Kinesiology
subject: Psychiatry and Psychology
subject: Public Health
description: doi:10.7717/peerj.13194
publisher: PeerJ Inc.
rights: © 2022 Jiang et al.
abstract: Background Executive function (EF) involves a series of high-level processes, such as inhibition, switching, and updating. Aging-related cognitive decline has been shown to be strongly associated with EF worsening. The aims of this study were to perform a meta-analysis to evaluate the effects of exergaming, an emerging intervention, on EF performance in older adults and to conduct a moderator analysis of exergaming effects on EF. Methods Randomized controlled trials examining exergaming influences on EF in older adults were collated by searching the Web of Science, Elsevier Science, PubMed, and Google Scholar databases. Statistical data were quantified in Comprehensive Meta-analysis software. Overall EF and EF domains (inhibition, switching, and updating) were analyzed separately. Results A total of 15 studies were included. The meta-analysis results indicated that exergaming had a significant influence on overall EF in the older adult (standardized mean difference (SMD) = 0.349, 95% confidence interval (CI) [0.191–0.506], p < 0.001). The same effects were also found in EF domains of inhibition (SMD = 0.415, 95% CI [0.102–0.729], p = 0.009), switching (SMD = 0.243, 95% CI [0.071–0.415], p = 0.005), and updating (SMD = 0.366, 95% CI [0.140–0.592], p = 0.002). The effects of exergaming on overall EF were found to be moderated by the frequency of the intervention (Q(1) = 3.537, p = 0.06). Conclusion Exergaming was confirmed to improve overall EF, as well as in older adults, and the effect of exergaming on EF was shown to be moderated by intervention frequency.
bibliographic citation: Jiang et al. (2022) Effects of exergaming on executive function of older adults: a systematic review and meta-analysis. PeerJ 10:e13194 https://doi.org/10.7717/peerj.13194
date submitted: 2021-12-28
date accepted: 2022-03-09
issued: 2022-04-11
is part of: PeerJ
license: https://creativecommons.org/licenses/by/4.0/
author list: Agent
  family name: Jiang
  given name: Jiahui
author list: Agent
  family name: Guo
  given name: Wei
author list: Agent
  family name: Wang
  given name: Biye
doi: 10.7717/peerj.13194
volume: 10
issn: 2167-8359
publication name: PeerJ
publication date: 2022-04-11
copyright: © 2022 Jiang et al.
attribution name: Jiang et al.

A model of multiple tumor marker for lymph node metastasis assessment in colorectal cancer: a retrospective study
type: item
type: AcademicArticle
description: Background Assessment of colorectal cancer (CRC) lymph node metastasis (LNM) is critical to the decision of surgery, prognosis, and therapy strategy. In this study, we aimed to develop and validate a multiple tumor marker nomogram for predicting LNM in CRC patients. Methods A total of 674 patients who met the inclusion criteria were collected and randomly divided into primary cohort and internal test cohort at a ratio of 7:3. An external test cohort enrolled 178 CRC patients from the West China Hospital. Clinicopathologic variables were obtained from electronic medical records. The least absolute shrinkage and selection operator (LASSO) and interquartile range analysis were carried out for variable dimensionality reduction and feature selection. Multivariate logistic regression analysis was conducted to develop predictive models of LNM. The performance of the established models was evaluated by the receiver operating characteristic (ROC) curve, calibration belt, and clinical usefulness. Results Based on minimum criteria, 18 potential features were reduced to six predictors by LASSO and interquartile range in the primary cohort. The model demonstrated good discrimination and ROC curve (AUC = 0.721 in the internal test cohort, AUC = 0.758 in the external test cohort) in LNM assessment. Good calibration was shown for the probability of CRC LNM in the internal and external test cohorts. Decision curve analysis illustrated that multi-tumor markers nomogram was clinically useful. Conclusions The study proposed a reliable nomogram that could be efficiently and conveniently utilized to facilitate the assessment of individually-tailored LNM in patients with CRC, complementing imaging and biopsy tests.
format: application/pdf
format: text/html
creator: Jiangping Fu
creator: Mengjie Tu
creator: Yin Zhang
creator: Yan Zhang
creator: Jiasi Wang
creator: Zhaoping Zeng
creator: Jie Li
creator: Fanxin Zeng
subject: Biochemistry
subject: Molecular Biology
subject: Gastroenterology and Hepatology
subject: Oncology
subject: Medical Genetics
description: doi:10.7717/peerj.13196
publisher: PeerJ Inc.
rights: © 2022 Fu et al.
abstract: Background Assessment of colorectal cancer (CRC) lymph node metastasis (LNM) is critical to the decision of surgery, prognosis, and therapy strategy. In this study, we aimed to develop and validate a multiple tumor marker nomogram for predicting LNM in CRC patients. Methods A total of 674 patients who met the inclusion criteria were collected and randomly divided into primary cohort and internal test cohort at a ratio of 7:3. An external test cohort enrolled 178 CRC patients from the West China Hospital. Clinicopathologic variables were obtained from electronic medical records. The least absolute shrinkage and selection operator (LASSO) and interquartile range analysis were carried out for variable dimensionality reduction and feature selection. Multivariate logistic regression analysis was conducted to develop predictive models of LNM. The performance of the established models was evaluated by the receiver operating characteristic (ROC) curve, calibration belt, and clinical usefulness. Results Based on minimum criteria, 18 potential features were reduced to six predictors by LASSO and interquartile range in the primary cohort. The model demonstrated good discrimination and ROC curve (AUC = 0.721 in the internal test cohort, AUC = 0.758 in the external test cohort) in LNM assessment. Good calibration was shown for the probability of CRC LNM in the internal and external test cohorts. Decision curve analysis illustrated that multi-tumor markers nomogram was clinically useful. Conclusions The study proposed a reliable nomogram that could be efficiently and conveniently utilized to facilitate the assessment of individually-tailored LNM in patients with CRC, complementing imaging and biopsy tests.
bibliographic citation: Fu et al. (2022) A model of multiple tumor marker for lymph node metastasis assessment in colorectal cancer: a retrospective study. PeerJ 10:e13196 https://doi.org/10.7717/peerj.13196
date submitted: 2021-11-23
date accepted: 2022-03-09
issued: 2022-04-11
is part of: PeerJ
license: https://creativecommons.org/licenses/by/4.0/
author list: Agent
  family name: Fu
  given name: Jiangping
author list: Agent
  family name: Tu
  given name: Mengjie
author list: Agent
  family name: Zhang
  given name: Yin
author list: Agent
  family name: Zhang
  given name: Yan
author list: Agent
  family name: Wang
  given name: Jiasi
author list: Agent
  family name: Zeng
  given name: Zhaoping
author list: Agent
  family name: Li
  given name: Jie
author list: Agent
  family name: Zeng
  given name: Fanxin
doi: 10.7717/peerj.13196
volume: 10
issn: 2167-8359
publication name: PeerJ
publication date: 2022-04-11
copyright: © 2022 Fu et al.
attribution name: Fu et al.

A long noncoding RNA GTF2IRD2P1 suppresses cell proliferation in bladder cancer by inhibiting the Wnt/β‑catenin signaling pathway
type: item
type: AcademicArticle
description: Background There is growing evidence that long non-coding RNAs (LncRNAs) are key in the development of a variety of human tumors. However, the role of lncRNA GTF2IRD2P1 has not been well studied in cancer. The impact of GTF2IRD2P1 on the biological function and clinical relevance in bladder cancer is largely unknown. This study aimed to investigate the biological role of GTF2IRD2P1 in bladder evolution and carcinogenesis. Methods We used bioinformatics to obtain the lncRNA GTF2IRD2P1 from bladder urothelial carcinoma (BLCA) in The Cancer Genome Atlas (TCGA) database. The expression of lncRNA GTF2IRD2P1 was detected by qRT-PCR. The CCK8 assay and flow cytometry were used to detect the lncRNA GTF2IRD2P1 function on the proliferation of bladder cancer cells. A western blot was used to calculate the protein level of cell cycle proteins and Wnt signaling pathway proteins. The effect of lncRNA GTF2IRD2P1 on tumorigenesis of bladder cancer was confirmed by a xenograft nude mouse model. Results GTF2IRD2P1 expression was found to be lower in both human bladder cancer tissues and cell lines (UM-UC-3, RT4, and 5637), and elevated in T24 compared to the corresponding normal controls. GTF2IRD2P1 expression was also enhanced after transfection of UM-UC-3 cells with the overexpression vector. Meanwhile, overexpression of GTF2IRD2P1 inhibited the proliferation of UM-UC-3 and prolonged the cell cycle. The silencing of GTF2IRD2P1 significantly increased the proliferation and shortened the cell cycle of T24 cells and induced Wnt signaling activity to promote the progression of bladder cancer. Similarly, the transplanted tumor nude mouse model demonstrated that silencing GTF2IRD2P1 strengthens the progression of bladder cancer by targeting the Wnt signaling pathway.
format: application/pdf
format: text/html
creator: Zhuo Huang
creator: Hongbin Gao
creator: Liangliang Qing
creator: Biao Wang
creator: Chaoyong He
creator: Ning Luo
creator: Chuncheng Lu
creator: Shipeng Fan
creator: Peng Gu
creator: Hui Zhao
subject: Bioinformatics
subject: Cell Biology
subject: Genomics
subject: Oncology
subject: Urology
description: doi:10.7717/peerj.13220
publisher: PeerJ Inc.
rights: © 2022 Huang et al.
abstract: Background There is growing evidence that long non-coding RNAs (LncRNAs) are key in the development of a variety of human tumors. However, the role of lncRNA GTF2IRD2P1 has not been well studied in cancer. The impact of GTF2IRD2P1 on the biological function and clinical relevance in bladder cancer is largely unknown. This study aimed to investigate the biological role of GTF2IRD2P1 in bladder evolution and carcinogenesis. Methods We used bioinformatics to obtain the lncRNA GTF2IRD2P1 from bladder urothelial carcinoma (BLCA) in The Cancer Genome Atlas (TCGA) database. The expression of lncRNA GTF2IRD2P1 was detected by qRT-PCR. The CCK8 assay and flow cytometry were used to detect the lncRNA GTF2IRD2P1 function on the proliferation of bladder cancer cells. A western blot was used to calculate the protein level of cell cycle proteins and Wnt signaling pathway proteins. The effect of lncRNA GTF2IRD2P1 on tumorigenesis of bladder cancer was confirmed by a xenograft nude mouse model. Results GTF2IRD2P1 expression was found to be lower in both human bladder cancer tissues and cell lines (UM-UC-3, RT4, and 5637), and elevated in T24 compared to the corresponding normal controls. GTF2IRD2P1 expression was also enhanced after transfection of UM-UC-3 cells with the overexpression vector. Meanwhile, overexpression of GTF2IRD2P1 inhibited the proliferation of UM-UC-3 and prolonged the cell cycle. The silencing of GTF2IRD2P1 significantly increased the proliferation and shortened the cell cycle of T24 cells and induced Wnt signaling activity to promote the progression of bladder cancer. Similarly, the transplanted tumor nude mouse model demonstrated that silencing GTF2IRD2P1 strengthens the progression of bladder cancer by targeting the Wnt signaling pathway.
bibliographic citation: Huang et al. (2022) A long noncoding RNA GTF2IRD2P1 suppresses cell proliferation in bladder cancer by inhibiting the Wnt/β‑catenin signaling pathway. PeerJ 10:e13220 https://doi.org/10.7717/peerj.13220
date submitted: 2021-08-05
date accepted: 2022-03-14
issued: 2022-04-11
is part of: PeerJ
license: https://creativecommons.org/licenses/by/4.0/
author list: Agent
  family name: Huang
  given name: Zhuo
author list: Agent
  family name: Gao
  given name: Hongbin
author list: Agent
  family name: Qing
  given name: Liangliang
author list: Agent
  family name: Wang
  given name: Biao
author list: Agent
  family name: He
  given name: Chaoyong
author list: Agent
  family name: Luo
  given name: Ning
author list: Agent
  family name: Lu
  given name: Chuncheng
author list: Agent
  family name: Fan
  given name: Shipeng
author list: Agent
  family name: Gu
  given name: Peng
author list: Agent
  family name: Zhao
  given name: Hui
doi: 10.7717/peerj.13220
volume: 10
issn: 2167-8359
publication name: PeerJ
publication date: 2022-04-11
copyright: © 2022 Huang et al.
attribution name: Huang et al.

The effect of the COVID-19 pandemic on health care workers’ anxiety levels: a meta-analysis
type: item
type: AcademicArticle
description: Background The COVID-19 pandemic has been declared a public health emergency of international concern, causing excessive anxiety among health care workers. Additionally, publication bias and low-quality publications have become widespread, which can result in the dissemination of unreliable information. A meta-analysis was performed for this study with the following two aims: (1) to examine the prevalence of anxiety among health care workers and determine whether it has increased owing to the COVID-19 pandemic and (2) to investigate whether there has been an increase in publication bias. Methods All relevant studies published between 2015 and 2020 were searched in electronic databases (namely Web of Science, PubMed, Embase, PsycInfo, PsyArXiv, and medRxiv). The heterogeneity of the studies was assessed using the I2 statistic. The effect size (prevalence rate of anxiety) and 95% CI for each study were also calculated. We used moderator analysis to test for the effect of the COVID-19 pandemic on health care workers’ anxiety levels and to detect publication bias in COVID-19 studies. We assessed publication bias using funnel plots and Egger’s regression. Results A total of 122 studies with 118,025 participants met the inclusion criteria. Eighty-eight articles (75,066 participants) were related to COVID-19, 13 articles (9,222 participants) were unrelated to COVID-19 (i.e., articles related to other outbreaks, which were excluded), and 21 preprints (33,737 participants) were related to COVID-19. The pooled meta-analysis prevalence was 33.6% (95% CI [30.5−36.8]; 95% PI [6.5−76.3]). Moderator analysis revealed no significant differences between articles related to COVID-19 and those unrelated to COVID-19 (p = 0.824). Moreover, no significant differences were found between articles and preprints related to COVID-19 (p = 0.843). Significant heterogeneity was observed in each subgroup. An Egger’s test revealed publication bias in both articles and preprints related to COVID-19…
format: application/pdf
format: text/html
creator: Lunbo Zhang
creator: Ming Yan
creator: Kaito Takashima
creator: Wenru Guo
creator: Yuki Yamada
subject: Epidemiology
subject: Mental Health
description: doi:10.7717/peerj.13225
publisher: PeerJ Inc.
rights: © 2022 Zhang et al.
abstract: Background The COVID-19 pandemic has been declared a public health emergency of international concern, causing excessive anxiety among health care workers. Additionally, publication bias and low-quality publications have become widespread, which can result in the dissemination of unreliable information. A meta-analysis was performed for this study with the following two aims: (1) to examine the prevalence of anxiety among health care workers and determine whether it has increased owing to the COVID-19 pandemic and (2) to investigate whether there has been an increase in publication bias. Methods All relevant studies published between 2015 and 2020 were searched in electronic databases (namely Web of Science, PubMed, Embase, PsycInfo, PsyArXiv, and medRxiv). The heterogeneity of the studies was assessed using the I2 statistic. The effect size (prevalence rate of anxiety) and 95% CI for each study were also calculated. We used moderator analysis to test for the effect of the COVID-19 pandemic on health care workers’ anxiety levels and to detect publication bias in COVID-19 studies. We assessed publication bias using funnel plots and Egger’s regression. Results A total of 122 studies with 118,025 participants met the inclusion criteria. Eighty-eight articles (75,066 participants) were related to COVID-19, 13 articles (9,222 participants) were unrelated to COVID-19 (i.e., articles related to other outbreaks, which were excluded), and 21 preprints (33,737 participants) were related to COVID-19. The pooled meta-analysis prevalence was 33.6% (95% CI [30.5−36.8]; 95% PI [6.5−76.3]). Moderator analysis revealed no significant differences between articles related to COVID-19 and those unrelated to COVID-19 (p = 0.824). Moreover, no significant differences were found between articles and preprints related to COVID-19 (p = 0.843). Significant heterogeneity was observed in each subgroup. An Egger’s test revealed publication bias in both articles and preprints related to COVID-19…
bibliographic citation: Zhang et al. (2022) The effect of the COVID-19 pandemic on health care workers’ anxiety levels: a meta-analysis. PeerJ 10:e13225 https://doi.org/10.7717/peerj.13225
date submitted: 2021-08-09
date accepted: 2022-03-15
issued: 2022-04-11
is part of: PeerJ
license: https://creativecommons.org/licenses/by/4.0/
author list: Agent
  family name: Zhang
  given name: Lunbo
author list: Agent
  family name: Yan
  given name: Ming
author list: Agent
  family name: Takashima
  given name: Kaito
author list: Agent
  family name: Guo
  given name: Wenru
author list: Agent
  family name: Yamada
  given name: Yuki
doi: 10.7717/peerj.13225
volume: 10
issn: 2167-8359
publication name: PeerJ
publication date: 2022-04-11
copyright: © 2022 Zhang et al.
attribution name: Zhang et al.

Diel gene expression improves software prediction of cyanobacterial operons
type: item
type: AcademicArticle
description: Cyanobacteria are important participants in global biogeochemical process, but their metabolic processes and genomic functions are incompletely understood. In particular, operon structure, which can provide valuable metabolic and genomic insight, is difficult to determine experimentally, and algorithmic operon predictions probably underestimate actual operon extent. A software method is presented for enhancing current operon predictions by incorporating information from whole-genome time-series expression studies, using a Machine Learning classifier. Results are presented for the marine cyanobacterium Crocosphaera watsonii. A total of 15 operon enhancements are proposed. The source code is publicly available.
format: application/pdf
format: text/html
creator: Philip Heller
subject: Bioinformatics
subject: Computational Biology
subject: Data Mining and Machine Learning
description: doi:10.7717/peerj.13259
publisher: PeerJ Inc.
rights: © 2022 Heller
abstract: Cyanobacteria are important participants in global biogeochemical process, but their metabolic processes and genomic functions are incompletely understood. In particular, operon structure, which can provide valuable metabolic and genomic insight, is difficult to determine experimentally, and algorithmic operon predictions probably underestimate actual operon extent. A software method is presented for enhancing current operon predictions by incorporating information from whole-genome time-series expression studies, using a Machine Learning classifier. Results are presented for the marine cyanobacterium Crocosphaera watsonii. A total of 15 operon enhancements are proposed. The source code is publicly available.
bibliographic citation: Heller (2022) Diel gene expression improves software prediction of cyanobacterial operons. PeerJ 10:e13259 https://doi.org/10.7717/peerj.13259
date submitted: 2021-09-10
date accepted: 2022-03-22
issued: 2022-04-11
is part of: PeerJ
license: https://creativecommons.org/licenses/by/4.0/
author list: Agent
  family name: Heller
  given name: Philip
doi: 10.7717/peerj.13259
volume: 10
issn: 2167-8359
publication name: PeerJ
publication date: 2022-04-11
copyright: © 2022 Heller
attribution name: Heller

Times and partners are a-changin’: relationships between declining food abundance, breeding success, and divorce in a monogamous seabird species
type: item
type: AcademicArticle
description: Seabirds exhibit considerable adjustment capacity to cope with environmental changes during the breeding season and to maximize lifetime reproductive output. For example, divorce has been proposed to be an adaptive behavioral strategy in social monogamous species, as a response to poor conditions and low breeding success. Here, we studied divorce at the population and individual levels in northern gannets (Morus bassanus, hereafter gannets) nesting on Bonaventure island (Quebec, Canada). At the population level, we used Granger’s method for detecting and quantifying temporal causality between time series (from 2009 to 2019) of divorce rate and breeding success of gannets (n = 809) and we evaluated the relationship between breeding success and biomass of their two principal prey (Atlantic mackerel, Scomber scombrus, and Atlantic herring, Clupea harengus). Our results indicated that breeding success is mainly influenced by the spawning-stock biomass of Atlantic mackerel, and a decrease in breeding success is followed by an increase in divorce rate with a 1-year lag. However, the effect of the interaction between breeding success and year on the proportion of individuals that divorced showed significant inter-annual variation. At the individual level, our results support the adaptive strategy hypothesis of divorce. Indeed, gannets that changed partners did so following a reproductive failure, and there was an increase in breeding success 1 year following the divorce. Being central place foragers, opportunities for dispersal and adaptation are often limited for breeding seabirds in a context of low food abundance. We suggest that behavioral flexibility expressed as divorce would be an efficient short-term strategy for maintaining reproductive performance.
format: application/pdf
format: text/html
creator: David Pelletier
creator: Magella Guillemette
subject: Animal Behavior
subject: Ecology
subject: Marine Biology
subject: Zoology
description: doi:10.7717/peerj.13073
publisher: PeerJ Inc.
rights: © 2022 Pelletier and Guillemette
abstract: Seabirds exhibit considerable adjustment capacity to cope with environmental changes during the breeding season and to maximize lifetime reproductive output. For example, divorce has been proposed to be an adaptive behavioral strategy in social monogamous species, as a response to poor conditions and low breeding success. Here, we studied divorce at the population and individual levels in northern gannets (Morus bassanus, hereafter gannets) nesting on Bonaventure island (Quebec, Canada). At the population level, we used Granger’s method for detecting and quantifying temporal causality between time series (from 2009 to 2019) of divorce rate and breeding success of gannets (n = 809) and we evaluated the relationship between breeding success and biomass of their two principal prey (Atlantic mackerel, Scomber scombrus, and Atlantic herring, Clupea harengus). Our results indicated that breeding success is mainly influenced by the spawning-stock biomass of Atlantic mackerel, and a decrease in breeding success is followed by an increase in divorce rate with a 1-year lag. However, the effect of the interaction between breeding success and year on the proportion of individuals that divorced showed significant inter-annual variation. At the individual level, our results support the adaptive strategy hypothesis of divorce. Indeed, gannets that changed partners did so following a reproductive failure, and there was an increase in breeding success 1 year following the divorce. Being central place foragers, opportunities for dispersal and adaptation are often limited for breeding seabirds in a context of low food abundance. We suggest that behavioral flexibility expressed as divorce would be an efficient short-term strategy for maintaining reproductive performance.
bibliographic citation: Pelletier et al. (2022) Times and partners are a-changin’: relationships between declining food abundance, breeding success, and divorce in a monogamous seabird species. PeerJ 10:e13073 https://doi.org/10.7717/peerj.13073
date submitted: 2021-08-05
date accepted: 2022-02-15
issued: 2022-04-08
is part of: PeerJ
license: https://creativecommons.org/licenses/by/4.0/
author list: Agent
  family name: Pelletier
  given name: David
author list: Agent
  family name: Guillemette
  given name: Magella
doi: 10.7717/peerj.13073
volume: 10
issn: 2167-8359
publication name: PeerJ
publication date: 2022-04-08
copyright: © 2022 Pelletier and Guillemette
attribution name: Pelletier and Guillemette

The effect of delirium information training given to intensive care nurses on patient care: quasi-experimental study
type: item
type: AcademicArticle
description: Background Training programs aiming to improve delirium diagnosis and management skills increase nurses’ care efficiency and improve patients’ health outcomes. This study was conducted to examine the effect of delirium information training on patient care by intensive care nurses. Methods In the research, one group pretest-posttest quasi-experimental design was used. The study sample consisted of 30 nurses working in four intensive care units of a university hospital between November 05, 2018, and February 15, 2019. The Personal Information Form, the Checklist for the Care of the Patient in Delirium, and the Confusion Assessment Scale for the Intensive Care Unit were used to collect the data. Intensive care nurses were provided with information training supported by a training booklet in two sessions of 40 min each. Results In the study, according to the Checklist for the Care of the Patient in Delirium, while the pre-test point average of the nurses was 6.17 ± 2.29, the post-test point average had increased to 11.17 ± 1.51 (p < 0.001). After the training, it was determined that there was a significant increase in the percentage of nurses who stated that they evaluated and detected whether their patients had pain, hallucinations, and delusions (p < 0.001). As a result, it has been determined that providing delirium information training to intensive care nurses positively affects the care of patients with delirium. In addition, it has been determined that with the Confusion Assessment Scale for Intensive Care Unit, nurses can provide the care they need to patients at risk in terms of delirium by identifying delirium.
format: application/pdf
format: text/html
creator: Fulya Yıldırım
creator: Serpil Türkleş
creator: Hilal Altundal Duru
subject: Emergency and Critical Care
subject: Nursing
subject: Mental Health
description: doi:10.7717/peerj.13143
publisher: PeerJ Inc.
rights: © 2022 Yıldırım et al.
abstract: Background Training programs aiming to improve delirium diagnosis and management skills increase nurses’ care efficiency and improve patients’ health outcomes. This study was conducted to examine the effect of delirium information training on patient care by intensive care nurses. Methods In the research, one group pretest-posttest quasi-experimental design was used. The study sample consisted of 30 nurses working in four intensive care units of a university hospital between November 05, 2018, and February 15, 2019. The Personal Information Form, the Checklist for the Care of the Patient in Delirium, and the Confusion Assessment Scale for the Intensive Care Unit were used to collect the data. Intensive care nurses were provided with information training supported by a training booklet in two sessions of 40 min each. Results In the study, according to the Checklist for the Care of the Patient in Delirium, while the pre-test point average of the nurses was 6.17 ± 2.29, the post-test point average had increased to 11.17 ± 1.51 (p < 0.001). After the training, it was determined that there was a significant increase in the percentage of nurses who stated that they evaluated and detected whether their patients had pain, hallucinations, and delusions (p < 0.001). As a result, it has been determined that providing delirium information training to intensive care nurses positively affects the care of patients with delirium. In addition, it has been determined that with the Confusion Assessment Scale for Intensive Care Unit, nurses can provide the care they need to patients at risk in terms of delirium by identifying delirium.
bibliographic citation: Yıldırım et al. (2022) The effect of delirium information training given to intensive care nurses on patient care: quasi-experimental study. PeerJ 10:e13143 https://doi.org/10.7717/peerj.13143
date submitted: 2021-07-30
date accepted: 2022-02-28
issued: 2022-04-08
is part of: PeerJ
license: https://creativecommons.org/licenses/by/4.0/
author list: Agent
  family name: Yıldırım
  given name: Fulya
author list: Agent
  family name: Türkleş
  given name: Serpil
author list: Agent
  family name: Altundal Duru
  given name: Hilal
doi: 10.7717/peerj.13143
volume: 10
issn: 2167-8359
publication name: PeerJ
publication date: 2022-04-08
copyright: © 2022 Yıldırım et al.
attribution name: Yıldırım et al.

Quantitative trait loci mapping and candidate gene analysis of stoma-related traits in wheat (Triticum aestivum L.) glumes
type: item
type: AcademicArticle
description: The photosynthesis of wheat glumes makes important contributions to the yield. Stomata play a crucial role in regulating photosynthesis and transpiration in plants. However, the genetic base of wheat glume stomata is not fully understood. In this study, stomatal length (SL), stomatal width (SW), stomatal density (SD), potential conductance index (PCI) of stomata, stomatal area (SA), and stomatal relative area (SRA) were measured in different parts of wheat glumes from a doubled haploid (DH) population and their parents. Quantitative trait loci (QTLs) of these traits were anchored on a high-density genetic linkage map of the DH population. A total of 61 QTLs for stoma-related traits were mapped onto 16 chromosomes, and each one accounted for 3.63 to 19.02% of the phenotypic variations. Two QTL hotspots were detected in two marker intervals, AX-109400932∼AX-110985652 and AX-108972184∼AX-108752564, on chromosome 6A. Five possibly candidate genes (TraesCS6A02G105400, TraesCS6A02G106400, TraesCS6A02G115100, TraesCS6A02G115400, and TraesCS6A02G116200) for stoma-related traits of wheat glumes were screened out , according to their predicted expression levels in wheat glumes or spikes. The expression of these genes may be induced by a variety of abiotic stresses. These findings provide insights for cloning and functional characterization of stoma-related candidate genes in wheat glumes.
format: application/pdf
format: text/html
creator: Ning Li
creator: Fanfan Dong
creator: Tongtong Liu
creator: Jinwen Yang
creator: Yugang Shi
creator: Shuguang Wang
creator: Daizhen Sun
creator: Ruilian Jing
subject: Agricultural Science
subject: Genetics
subject: Molecular Biology
subject: Plant Science
description: doi:10.7717/peerj.13262
publisher: PeerJ Inc.
rights: © 2022 Li et al.
abstract: The photosynthesis of wheat glumes makes important contributions to the yield. Stomata play a crucial role in regulating photosynthesis and transpiration in plants. However, the genetic base of wheat glume stomata is not fully understood. In this study, stomatal length (SL), stomatal width (SW), stomatal density (SD), potential conductance index (PCI) of stomata, stomatal area (SA), and stomatal relative area (SRA) were measured in different parts of wheat glumes from a doubled haploid (DH) population and their parents. Quantitative trait loci (QTLs) of these traits were anchored on a high-density genetic linkage map of the DH population. A total of 61 QTLs for stoma-related traits were mapped onto 16 chromosomes, and each one accounted for 3.63 to 19.02% of the phenotypic variations. Two QTL hotspots were detected in two marker intervals, AX-109400932∼AX-110985652 and AX-108972184∼AX-108752564, on chromosome 6A. Five possibly candidate genes (TraesCS6A02G105400, TraesCS6A02G106400, TraesCS6A02G115100, TraesCS6A02G115400, and TraesCS6A02G116200) for stoma-related traits of wheat glumes were screened out , according to their predicted expression levels in wheat glumes or spikes. The expression of these genes may be induced by a variety of abiotic stresses. These findings provide insights for cloning and functional characterization of stoma-related candidate genes in wheat glumes.
bibliographic citation: Li et al. (2022) Quantitative trait loci mapping and candidate gene analysis of stoma-related traits in wheat (Triticum aestivum L.) glumes. PeerJ 10:e13262 https://doi.org/10.7717/peerj.13262
date submitted: 2022-01-13
date accepted: 2022-03-22
issued: 2022-04-08
is part of: PeerJ
license: https://creativecommons.org/licenses/by/4.0/
author list: Agent
  family name: Li
  given name: Ning
author list: Agent
  family name: Dong
  given name: Fanfan
author list: Agent
  family name: Liu
  given name: Tongtong
author list: Agent
  family name: Yang
  given name: Jinwen
author list: Agent
  family name: Shi
  given name: Yugang
author list: Agent
  family name: Wang
  given name: Shuguang
author list: Agent
  family name: Sun
  given name: Daizhen
author list: Agent
  family name: Jing
  given name: Ruilian
doi: 10.7717/peerj.13262
volume: 10
issn: 2167-8359
publication name: PeerJ
publication date: 2022-04-08
copyright: ©2022 Li et al.
attribution name: Li et al.

https://peerj.com/articles/13271
type: item
type: AcademicArticle
title: The association between Geographic Information System-based neighborhood built environmental factors and accelerometer-derived light-intensity physical activity across the lifespan: a cross-sectional study
description: Background Evidence on associations between environmental factors and accelerometer-derived light-intensity physical activity (LPA) is scarce. The aim of this study was to examine associations between Geographic Information System (GIS)-based neighborhood built environmental factors and accelerometer-derived LPA, and to investigate the moderating effect of age group (adolescents, adults, older adults) on these associations. Methods Objective data were used from three similar observational studies conducted in Ghent (Belgium) between 2007 and 2015. Accelerometer data were collected from 1,652 participants during seven consecutive days, and GIS-based neighborhood built environmental factors (residential density, intersection density, park density, public transport density, entropy index) were calculated using sausage buffers of 500 m and 1,000 m around the home addresses of all participants. Linear mixed models were performed to estimate the associations. Results A small but significant negative association was observed between residential density (500 m buffer) and LPA in the total sample (B = −0.002; SE = 0.0001; p = 0.04), demonstrating that every increase of 1,000 dwellings per surface buffer was associated with a two minute decrease in LPA. Intersection density, park density, public transport density and entropy index were not related to LPA, and moderating effects of age group were absent. Conclusions The small association, in combination with other non-significant associations suggests that the neighborhood built environment, as classically measured in moderate-to-vigorous intensity physical activity research, is of limited importance for LPA. More research is needed to unravel how accelerometer-derived LPA is accumulated, and to gain insight into its determinants.
format: application/pdf
format: text/html
creator: Sofie Compernolle
creator: Lieze Mertens
creator: Jelle Van Cauwenberg
creator: Iris Maes
creator: Delfien Van Dyck
subject: Epidemiology
subject: Public Health
subject: Environmental Health
description: doi:10.7717/peerj.13271
publisher: PeerJ Inc.
rights: © 2022 Compernolle et al.
abstract: Background Evidence on associations between environmental factors and accelerometer-derived light-intensity physical activity (LPA) is scarce. The aim of this study was to examine associations between Geographic Information System (GIS)-based neighborhood built environmental factors and accelerometer-derived LPA, and to investigate the moderating effect of age group (adolescents, adults, older adults) on these associations. Methods Objective data were used from three similar observational studies conducted in Ghent (Belgium) between 2007 and 2015. Accelerometer data were collected from 1,652 participants during seven consecutive days, and GIS-based neighborhood built environmental factors (residential density, intersection density, park density, public transport density, entropy index) were calculated using sausage buffers of 500 m and 1,000 m around the home addresses of all participants. Linear mixed models were performed to estimate the associations. Results A small but significant negative association was observed between residential density (500 m buffer) and LPA in the total sample (B = −0.002; SE = 0.0001; p = 0.04), demonstrating that every increase of 1,000 dwellings per surface buffer was associated with a two minute decrease in LPA. Intersection density, park density, public transport density and entropy index were not related to LPA, and moderating effects of age group were absent. Conclusions The small association, in combination with other non-significant associations suggests that the neighborhood built environment, as classically measured in moderate-to-vigorous intensity physical activity research, is of limited importance for LPA. More research is needed to unravel how accelerometer-derived LPA is accumulated, and to gain insight into its determinants.
bibliographic citation: Compernolle et al. (2022) The association between Geographic Information System-based neighborhood built environmental factors and accelerometer-derived light-intensity physical activity across the lifespan: a cross-sectional study. PeerJ 10:e13271 https://doi.org/10.7717/peerj.13271
date submitted: 2021-12-09
date accepted: 2022-03-23
issued: 2022-04-08
is part of: PeerJ
license: https://creativecommons.org/licenses/by/4.0/
author list: Agent
  family name: Compernolle
  given name: Sofie
author list: Agent
  family name: Mertens
  given name: Lieze
author list: Agent
  family name: Van Cauwenberg
  given name: Jelle
author list: Agent
  family name: Maes
  given name: Iris
author list: Agent
  family name: Van Dyck
  given name: Delfien
doi: 10.7717/peerj.13271
volume: 10
issn: 2167-8359
publication name: PeerJ
publication date: 2022-04-08
copyright: ©2022 Compernolle et al.
attribution name: Compernolle et al.

The regulation of hsacirc_004413 promotes proliferation and drug resistance of gastric cancer cells by acting as a competing endogenous RNA for miR-145-5p
type: item
type: AcademicArticle
description: Background Whether circRAN, which acts as a microRNA sponge, plays a role in 5-fluorouracil (5-Fu) resistant gastric cancer has not been reported. In this study, a 5-Fu resistant cell line with an IC50 of 16.59 µM was constructed. Methods Using comparative analysis of circRNA in the transcriptomics of resistant and sensitive strains, 31 differentially expressed circRNAs were detected, and the microRNA interacting with them was predicted. Results Hsacirc_004413 was selected for verification in drug resistant and sensitive cells. By interfering with hsacirc_004413 using antisense RNA, the sensitivity of drug resistant cells to 5-Fu was significantly promoted, and the apoptosis and necrosis of the cells were significantly increased. In sensitive cells, inhibition by inhibitors enhanced the resistance of cells to 5-Fu. We hypothesize that hsacirc_004413 makes gastric cancer cells resistant to 5-Fu mainly through adsorption of miR-145-5p.
format: application/pdf
format: text/html
creator: Fusheng Zhou
creator: Weiqun Ding
creator: Qiqi Mao
creator: Xiaoyun Jiang
creator: Jiajie Chen
creator: Xianguang Zhao
creator: Weijia Xu
creator: Jiaxin Huang
creator: Liang Zhong
creator: Xu Sun
subject: Cell Biology
subject: Molecular Biology
subject: Gastroenterology and Hepatology
subject: Oncology
description: doi:10.7717/peerj.12629
publisher: PeerJ Inc.
rights: © 2022 Zhou et al.
abstract: Background Whether circRAN, which acts as a microRNA sponge, plays a role in 5-fluorouracil (5-Fu) resistant gastric cancer has not been reported. In this study, a 5-Fu resistant cell line with an IC50 of 16.59 µM was constructed. Methods Using comparative analysis of circRNA in the transcriptomics of resistant and sensitive strains, 31 differentially expressed circRNAs were detected, and the microRNA interacting with them was predicted. Results Hsacirc_004413 was selected for verification in drug resistant and sensitive cells. By interfering with hsacirc_004413 using antisense RNA, the sensitivity of drug resistant cells to 5-Fu was significantly promoted, and the apoptosis and necrosis of the cells were significantly increased. In sensitive cells, inhibition by inhibitors enhanced the resistance of cells to 5-Fu. We hypothesize that hsacirc_004413 makes gastric cancer cells resistant to 5-Fu mainly through adsorption of miR-145-5p.
bibliographic citation: Zhou et al. (2022) The regulation of hsacirc_004413 promotes proliferation and drug resistance of gastric cancer cells by acting as a competing endogenous RNA for miR-145-5p. PeerJ 10:e12629 https://doi.org/10.7717/peerj.12629
date submitted: 2021-06-27
date accepted: 2021-11-22
issued: 2022-04-07
is part of: PeerJ
license: https://creativecommons.org/licenses/by/4.0/
author list: Agent
  family name: Zhou
  given name: Fusheng
author list: Agent
  family name: Ding
  given name: Weiqun
author list: Agent
  family name: Mao
  given name: Qiqi
author list: Agent
  family name: Jiang
  given name: Xiaoyun
author list: Agent
  family name: Chen
  given name: Jiajie
author list: Agent
  family name: Zhao
  given name: Xianguang
author list: Agent
  family name: Xu
  given name: Weijia
author list: Agent
  family name: Huang
  given name: Jiaxin
author list: Agent
  family name: Zhong
  given name: Liang
author list: Agent
  family name: Sun
  given name: Xu
doi: 10.7717/peerj.12629
volume: 10
issn: 2167-8359
publication name: PeerJ
publication date: 2022-04-07
copyright: © 2022 Zhou et al.
attribution name: Zhou et al.

PeerJ
type: Periodical
uri: PeerJ
issn: 2167-8359