bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exercise based reduction of falls in communitydwelling older adults: a network meta-analysis
Authors: Wiedenmann Tim , Held Steffen , Rappelt Ludwig , Grauduszus Martin , Spickermann Sofie , Donath Lars 
Published: January 2023

Abstract
Background
Traditional meta-analyses with pairwise direct comparison revealed that a variety of exercise-based training interventions can prevent falls in community-dwelling older adults. This network meta-analysis adds value by comparing and ranking different exercise training strategies based on their effects on fall risk reductions determined by analysis of direct and indirect comparisons.

Methods
The studies included in this network meta-analysis were identified through a comprehensive search in five biomedical databases (PubMed, SportDiscus, CINAHL, Web of Science and EMBASE). We included (randomized) controlled trials (RCTs) that compared the occurance of fall events in older adults who received different interventional treatments.

Results
Seventy six comparisons from 66 RCTs with 47.420 (61% male / 39% female) participants aged 77 ± 4 (68 – 88) years were included in this network meta-analysis. The network model revealed low heterogeneity (I2 = 28.0, 95%CI 1.0 to 47.7%) and inconsistency (Q between designs = 15.1, p = 0.37). Postural control training was found to be most effective in preventing falls (Postural Control Training: (home): Risk Ratio (RR) = 0.66, 95%-CI [0.49; 0.88], P-score = 0.97;Postural Control Training: RR = 0.82, 95%-CI [0.75; 0.91], P-score = 0.82). Combined and multifactorial interventions also display a robust but smaller effect (RR = 0.88–0.93, P-score = 0.65–0.47).

Conclusion
Physical activity that includes balance training presents itself to be the most effective. Multifactorial approaches are well investigated but could be slightly less effective than isolated postural control training.
GM-lncLoc: LncRNAs subcellular localization prediction based on graph neural network with meta-learning
Authors: Cai Junzhe , Wang Ting , Deng Xi , Tang Lin , Liu Lin 
Published: January 2023

AbstractIn recent years, a large number of studies have shown that the subcellular localization of long non-coding RNAs (lncRNAs) can bring crucial information to the recognition of lncRNAs function. Therefore, it is of great significance to establish a computational method to accurately predict the subcellular localization of lncRNA. Previous prediction models are based on low-level sequences information and are troubled by the few samples problem. In this study, we propose a new prediction model, GM-lncLoc, which is based on the initial information extracted from the lncRNA sequence, and also combines the graph structure information to extract high level features of lncRNA. In addition, the training mode of meta-learning is introduced to obtain meta-parameters by training a series of tasks. With the meta-parameters, the final parameters of other similar tasks can be learned quickly, so as to solve the problem of few samples in lncRNA subcellular localization. Compared with the previous methods, GM-lncLoc achieved the best results with an accuracy of 93.4 and 94.2% in the benchmark datasets of 5 and 4 subcellular compartments, respectively. Furthermore, the prediction performance of GM-lncLoc was also better on the independent dataset. It shows the effectiveness and great potential of our proposed method for lncRNA subcellular localization prediction. The datasets and source code are freely available athttps://github.com/JunzheCai/GM-lncLoc.
Key circRNAs from goat: discovery, integrated regulatory network and their putative roles in the differentiation of intramuscular adipocytes
Authors: Yu Du , Xin Li , Qing Xu , Hao Zhang , Yong Wang , Jiangjiang Zhu , Yaqiu Lin 
Published: January 2023

Abstract
Background
The procession of preadipocytes differentiation into mature adipocytes involves multiple cellular and signal transduction pathways. Recently. a seirces of noncoding RNAs (ncRNAs), including circular RNAs (circRNAs) were proved to play important roles in regulating differentiation of adipocytes.

Result
In this study, we aimed to identificate the potential circRNAs in the early and late stages of goat intramuscular adipocytes differentiation. Using bioinformatics methods to predict their biological functions and map the circRNA-miRNA interaction network. Over 104 million clean reads in goat intramuscular preadipocytes and adipocytes were mapped, of which16 circRNAs were differentially expressed (DE-circRNAs). Furthermore, we used real-time fluorescent quantitative PCR (qRT-PCR) technology to randomly detect the expression levels of 8 circRNAs among the DE-circRNAs, and our result verifies the accuracy of the RNA-seq data. From the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the DE-circRNAs, two circRNAs, circ_0005870 and circ_0000946, were found in Focal adhesion and PI3K-Akt signaling pathway. Then we draw the circRNA-miRNA interaction network and obtained the miRNAs that possibly interact with circ_0005870 and circ_0000946. Using TargetScan, miRTarBase and miR-TCDS online databases, we further obtained the mRNAs that may interact with the miRNAs, and generated the final circRNA-miRNA-mRNA interaction network. Combined with the following GO (Gene Ontology) and KEGG enrichment analysis, we obtained 5 key mRNAs related to adipocyte differentiation in our interaction network, which are FOXO3(forkhead box O3), PPP2CA (protein phosphatase 2 catalytic subunit alpha), EEIF4E (eukaryotic translation initiation factor 4), CDK6 (cyclin dependent kinase 6) and ACVR1 (activin A receptor type 1).

Conclusions
By using Illumina HiSeq and online databases, we generated the final circRNA-miRNA-mRNA interaction network that have valuable functions in adipocyte differentiation. Our work serves as a valuable genomic resource for in-depth exploration of the molecular mechanism of ncRNAs interaction network regulating adipocyte differentiation.
Diversity, antibacterial and phytotoxic activities of culturable endophytic fungi from Pinellia pedatisecta and Pinellia ternata
Authors: Kong Kun , Huang Zhongdi , Shi Shuping , Pan Weidong , Zhang Yinglao 
Published: January 2023

Abstract
Background
Endophytic fungi of medicinal plants, as special microorganisms, are important sources of antibacterial compounds. However, the diversity and antibacterial activity of endophytic fungi from Pinellia Tenore have not been systematically studied.

Results
A total of 77 fungi were isolated from roots, stems, leaves, and tubers of Pinellia ternata and P. pedatisecta. All fungi were belonged to five classes and twenty-five different genera. Biological activities tests indicated that 21 extracts of endophytic fungi exhibited antibacterial activities against at least one of the tested bacteria, and 22 fermentation broth of endophytic fungi showed strong phytotoxic activity against Echinochloa crusgalli with the inhibition rate of 100%. Furthermore, four compounds, including alternariol monomethyl ether (1), alternariol (2), dehydroaltenusin (3) and altertoxin II (4), and three compounds, including terreic acid (5), terremutin (6), citrinin (7), were isolated from Alternaria angustiovoidea PT09 of P. ternata and Aspergillus floccosus PP39 of P. pedatisecta, respectively. Compound 5 exhibited strong antibacterial activities against Escherichia coli, Micrococcus tetragenus, Staphylococcus aureus, and Pseudomonas syringae pv. actinidiae with the inhibition zone diameter (IZD) of 36.0, 31.0, 33.7, 40.2 mm and minimum inhibitory concentration (MIC) values of 1.56, 3.13, 1.56, 1.56 μg/mL respectively, which were better than or equal to those of positive gentamicin sulfate. The metabolite 7 also exhibited strong antibacterial activity against P. syringae pv. actinidiae with the IZD of 26.0 mm and MIC value of 6.25 μg/mL. In addition, the compound 7 had potent phytotoxic activity against E. crusgalli with the inhibition rate of 73.4% at the concentration of 100 μg/mL.

Conclusions
Hence, this study showed that endophytic fungi of P. ternata and P. pedatisecta held promise for the development of new antibiotic and herbicide resources.
Revisiting chloroplast genomic landscape and annotation towards comparative chloroplast genomes of Rhamnaceae
Authors: Wanichthanarak Kwanjeera , Nookaew Intawat , Pasookhush Phongthana , Wongsurawat Thidathip , Jenjaroenpun Piroon , Leeratsuwan Namkhang , Wattanachaisaereekul Songsak , Visessanguan Wonnop , Sirivatanauksorn Yongyut , Nuntasaen Narong , Kuhakarn Chutima , Reutrakul Vichai , Ajawatanawong Pravech , Khoomrung Sakda 
Published: January 2023

AbstractBackgroundMassive parallel sequencing technologies have enabled the elucidation of plant phylogenetic relationships from chloroplast genomes at a high pace. These include members of the family Rhamnaceae. The current Rhamnaceae phylogenetic tree is from 13 out of 24 Rhamnaceae chloroplast genomes, and only one chloroplast genome of the genus Ventilago is available. Hence, the phylogenetic relationships in Rhamnaceae remain incomplete, and more representative species are needed.ResultsThe complete chloroplast genome ofVentilago harmandianaPierre was outlined using a hybrid assembly of long- and short-read technologies. The accuracy and validity of the final genome were confirmed with PCR amplifications and investigation of coverage depth. Sanger sequencing was used to correct for differences in lengths and nucleotide bases between inverted repeats because of the homopolymers. The phylogenetic trees reconstructed using prevalent methods for phylogenetic inference were topologically similar. The clustering based on codon usage was congruent with the molecular phylogenetic tree. The groups of genera in each tribe were in accordance with tribal classification based on molecular markers. We resolved the phylogenetic relationships among sixHovenia species, threeRhamnus species, and twoVentilago species. Our reconstructed tree provides the most complete and reliable low-level taxonomy to date for the family Rhamnaceae. Similar to other higher plants, the RNA editing mostly resulted in converting serine to leucine. Besides, most genes were subjected to purifying selection. Annotation anomalies, including indel calling errors, unaligned open reading frames of the same gene, inconsistent prediction of intergenic regions, and misannotated genes, were identified in the published chloroplast genomes used in this study. These could be a result of the usual imperfections in computational tools, and/or existing errors in reference genomes. Importantly, these are points of concern with regards to utilizing published chloroplast genomes for comparative genomic analysis.ConclusionsIn summary, we successfully demonstrated the use of comprehensive genomic data, including DNA and amino acid sequences, to build a reliable and high-resolution phylogenetic tree for the family Rhamnaceae. Additionally, our study indicates that the revision of genome annotation before comparative genomic analyses is necessary to prevent the propagation of errors and complications in downstream analysis and interpretation.
Comparison of risk assessment strategies incorporating coronary artery calcium score with estimation of pretest probability to defer cardiovascular testing in patients with stable chest pain
Authors: Meng Jia , Jiang Hantao , Ren Kai , Zhou Jia 
Published: January 2023

Abstract
Background
The risk assessment of patients with stable chest pain (SCP) to defer further cardiovascular testing is crucial, but the most appropriate risk assessment strategy remains unknown. We aimed to compare current strategies to identify low risk SCP patients.

Methods
5289 symptomatic patients who had undergone coronary artery calcium score (CACS) and coronary computed tomographic angiography scan were identified and followed. Pretest probability (PTP) of obstructive coronary artery disease (CAD) for every patient was estimated according to European Society of Cardiology (ESC)-PTP model and CACS-weighted clinical likelihood (CACS-CL) model, respectively. Based on the 2019 ESC guideline-determined risk assessment strategy (ESC strategy) and CACS-CL model-based risk assessment strategy (CACS-CL strategy), all patients were divided into low and high risk group, respectively. Area under receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI) and net reclassification improvement (NRI) was used.

Results
CACS-CL model provided more robust estimation of PTP than ESC-PTP model did, with a larger AUC (0.838 versus 0.735, p < 0.0001), positive IDI (9%, p < 0.0001) and less discrepancy between observed and predicted probabilities. As a result, compared to ESC strategy which only applied CACS-CL model to patients with borderline ESC-PTP, CACS-CL strategy incorporating CACS with estimation of PTP to entire SCP patients indicated a positive NRI (19%, p < 0.0001) and a stronger association to major adverse cardiovascular events, with hazard ratios: 3.97 (95% confidence intervals: 2.75–5.72) versus 5.11 (95% confidence intervals: 3.40–7.69).

Conclusion
The additional use of CACS for all SCP patients in CACS-CL strategy improved the risk assessment of SCP patients to identify individuals at low risk.
Time indices of pre-hospital EMS missions before and during the COVID-19 pandemic: a cross-sectional study in Iran
Authors: Sabbaghi Mohammadreza , Namazinia Mohammad , Miri Kheizaran 
Published: January 2023

Abstract
Background
The COVID-19 pandemic resulted in many changes in pre-hospital emergency medical services (EMS), including wearing full-body protective suits and well-fitted face masks, which can influence time indices in the course of service delivery. The present study aimed to compare the time indices of pre-hospital EMS missions before and during the COVID-19 pandemic in Iran.

Methods
This descriptive cross-sectional study used census sampling to select 17,860 emergency calls that caused patient transfer to medical facilities from March 2018 to March 2021 and then examined the time indices of pre-hospital EMS missions during the COVID-19 pandemic. The data collection tool was a two-part checklist: patients' individual characteristics and pre-hospital EMS mission time indices. The data were further analyzed using the SPSS16 and independent samples t-test.

Results
Out of the patients transferred by the EMS, 11,773 cases (65.9%) were male and 6,087 (34.1%) were female. The most common reason for the emergency calls was accidents (28.0%). Moreover, response time (P < 0.001), on-scene time (P < 0.001), transfer time (P < 0.001), total run time (P < 0.001), and round trip time (P < 0.001) increased significantly during the COVID-19 pandemic.

Conclusions
We concluded that the EMS time indices elevated following the COVID-19 pandemic. Updating pre-hospital information management systems, ambulances and medical equipment, as well as holding training courses for pre-hospital EMS personnel could effectively enhance the time indices of pre-hospital EMS missions.
B.infantis enhances immunotherapy for Guillain-Barre syndrome through regulating PD-1
Authors: Shi Peng , Nian Di , Qu Hongdang , Ye Ming , Wang Chun , Li Li , Li Qian 
Published: January 2023

Abstract
Background
Guillain-Barré syndrome (GBS) is a rare, autoimmune disease. B.infantis is reported to be effective in alleviating GBS by regulating abnormal function of T helper (Th) cells.

Objectives
In this study, T cells were isolated from healthy and GBS patients. The therapeutic effect of Bifidobacterium infantis (B.infantis) and whether it is achieved by PD-1 was examined at cellular and animal models.

Methods
We used CCK-8, flow cytometry and real-time PCR to determine the differentiation of T cell subsets at cellular level. Then, an experimental autoimmune neuritis (EAN) animal model using six-week SD rats (n = 30, male) weighing 180–200 g was established to support the role of B. infantis in GBS through PD-1.

Results
B. infantis inhibited the proliferation and promoted apoptosis of T cells from GBS. At the same time, the expression levels of PD-1 increased, which was correlated with decreased T-bet (Th1) and ROR-γt (Th17) and increased Foxp3 (Treg) expression. Moreover, B. infantis alleviated the symptoms of GBS. Th1 and Th17 cells decreased while Treg cells increased after B. infantis treatment, which could be partly abrogated by PD-1 inhibitor.

Conclusions
We concluded from this study that B.infantis alleviated GBS partly through PD-1.
Rupture discrimination of multiple small (< 7 mm) intracranial aneurysms based on machine learning-based cluster analysis
Authors: Tong Xin , Feng Xin , Peng Fei , Niu Hao , Zhang Xin , Li Xifeng , Zhao Yuanli , Liu Aihua , Duan Chuanzhi 
Published: January 2023

Abstract
Background
Small multiple intracranial aneurysms (SMIAs) are known to be more prone to rupture than are single aneurysms. However, specific recommendations for patients with small MIAs are not included in the guidelines of the American Heart Association and American Stroke Association. In this study, we aimed to evaluate the feasibility of machine learning-based cluster analysis for discriminating the risk of rupture of SMIAs.

Methods
This multi-institutional cross-sectional study included 1,427 SMIAs from 660 patients. Hierarchical cluster analysis guided patient classification based on patient-level characteristics. Based on the clusters and morphological features, machine learning models were constructed and compared to screen the optimal model for discriminating aneurysm rupture.

Results
Three clusters with markedly different features were identified. Cluster 1 (n = 45) had the highest risk of subarachnoid hemorrhage (SAH) (75.6%) and was characterized by a higher prevalence of familiar IAs. Cluster 2 (n = 110) had a moderate risk of SAH (38.2%) and was characterized by the highest rate of SAH history and highest number of vascular risk factors. Cluster 3 (n = 505) had a relatively mild risk of SAH (17.6%) and was characterized by a lower prevalence of SAH history and lower number of vascular risk factors. Lasso regression analysis showed that compared with cluster 3, clusters 1 (odds ratio [OR], 7.391; 95% confidence interval [CI], 4.074–13.150) and 2 (OR, 3.014; 95% CI, 1.827–4.970) were at a higher risk of aneurysm rupture. In terms of performance, the area under the curve of the model was 0.828 (95% CI, 0.770–0.833).

Conclusions
An unsupervised machine learning-based algorithm successfully identified three distinct clusters with different SAH risk in patients with SMIAs. Based on the morphological factors and identified clusters, our proposed model has good discrimination ability for SMIA ruptures.
The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis
Authors: Delanerolle Gayathri , McCauley Mary , Hirsch Martin , Zeng Yutian , Cong Xu , Cavalini Heitor , Sajid Sana , Shetty Ashish , Rathod Shanaya , Shi Jian Qing , Hapangama Dharani K. , Phiri Peter 
Published: January 2023

Abstract
Background
This systematic review aims to explore the prevalence of the impact of the COVID-19, MERS, and SARS pandemics on the mental health of pregnant women.

Methods
All COVID-19, SARS and MERS studies that evaluated the mental health of pregnant women with/without gynaecological conditions that were reported in English between December 2000 – July 2021 were included. The search criteria were developed based upon the research question using PubMed, Science Direct, Ovid PsycINFO and EMBASE databases. A wide search criterion was used to ensure the inclusion of all pregnant women with existing gynaecological conditions. The Newcastle-Ottawa-Scale was used to assess the risk of bias for all included studies. Random effects model with restricted maximum-likelihood estimation method was applied for the meta-analysis and I-square statistic was used to evaluate heterogeneity across studies. The pooled prevalence rates of symptoms of anxiety, depression, PTSD, stress, and sleep disorders with 95% confidence interval (CI) were computed.

Results
This systematic review identified 217 studies which included 638,889 pregnant women or women who had just given birth. There were no studies reporting the mental health impact due to MERS and SARS. Results showed that women who were pregnant or had just given birth displayed various symptoms of poor mental health including those relating to depression (24.9%), anxiety (32.8%), stress (29.44%), Post Traumatic Stress Disorder (PTSD) (27.93%), and sleep disorders (24.38%) during the COVID-19 pandemic.

Discussion
It is important to note that studies included in this review used a range of outcome measures which does not allow for direct comparisons between findings. Most studies reported self-reported measure of symptoms without clinical diagnoses so conclusions can be made for symptom prevalence rather than of mental illness. The importance of managing mental health during pregnancy and after-delivery improves the quality of life and wellbeing of mothers hence developing an evidence-based approached as part of pandemic preparedness would improve mental health during challenging times.

Other
The work presented in this manuscript was not funded by any specific grants. A study protocol was developed and published in PROSPERO (CRD42021235356) to explore several key objectives.
Pregnant women and health workers’ perspectives on perinatal mental health and intimate partner violence in rural Ethiopia: a qualitative interview study
Authors: Keynejad Roxanne C. , Bitew Tesera , Mulushoa Adiyam , Howard Louise M. , Hanlon Charlotte 
Published: January 2023

Abstract
Background
Mental health conditions are common during the perinatal period and associated with maternal, foetal, and neonatal morbidity and mortality. There is an established bidirectional relationship between mental health conditions and intimate partner violence (IPV), including during and after pregnancy. Mean lifetime prevalence of physical, sexual or emotional IPV exposure among women in rural Ethiopia is estimated to be 61% and may be even higher during the perinatal period. We aimed to explore the perspectives of women and antenatal care (ANC) health workers on the relationship between all types of IPV and perinatal mental health, to inform the adaptation of a psychological intervention for pregnant women experiencing IPV in rural Ethiopia.

Methods
We conducted in-depth qualitative interviews with 16 pregnant women and 12 health workers in the Gurage zone of the Southern Nations, Nationalities and People’s Region of Ethiopia, between December 2018 and December 2019. We conducted thematic analysis of English-translated transcripts of audio-recorded Amharic-language interviews.

Results
Participants contextualised IPV as the primary form of abusive treatment women experienced, connected by multiple pathways to emotional and bodily distress. Patriarchal norms explained how the actions of neighbours, family, community leaders, law enforcement, and government agents in response to IPV often reinforced women’s experiences of abuse. This created a sense of powerlessness, exacerbated by the tension between high cultural expectations of reciprocal generosity and severe deprivation. Women and health workers advocated a psychological intervention to address women’s powerlessness over the range of difficulties they faced in their daily lives.

Conclusions
Women and health workers in rural Ethiopia perceive multiple, interconnected pathways between IPV and perinatal emotional difficulties. Contrary to expectations of sensitivity, women and health workers were comfortable discussing the impact of IPV on perinatal mental health, and supported the need for brief mental health interventions integrated into ANC.