bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of a compassion-based program on the grief experienced by caregivers of people suffering from dementia: a randomized controlled clinical trial
Authors: Jahani Leila , Abolhassani Shahla , Babaee Sima , Omranifard Victoria 
Published: July 2022

Abstract
Background
Dementia is a syndrome that reduces the cognitive and functional abilities of the brain increasing the need for care. The caregivers of these patients are mostly their family members. The great care burden causes devastating effects on the health of family caregivers and the grief experienced by these family caregivers is considerable. This study was conducted to investigate the effects of a compassion-based program on the grief experienced by caregivers of people suffering from dementia.

Method
The present study was a randomized controlled clinical trial in which 70 family caregivers of people suffering from dementia were sampled through the block method and they were divided into experimental and control groups. The data collection tools included demographic information questionnaire and grief inventory that was completed before, a week and a month after the implementation of the compassion-based program in five sessions virtually by sending offline content to the experimental group. The obtained data were analyzed by SPSS 22 software using the repeated measures analysis of variance.

Results
The mean comparison of scores of the grief experienced in the experimental group between pretest and posttest and follow-up, unlike the control group, showed a significant difference (p < 0.001). The mean scores of the experimental and the control groups were significantly different in terms of experiencing mourning and all of its fields (p < 0.001). The mean comparison of post-test and follow-up showed that the effect of a compassion-based program at the follow-up stage has been mitigated.

Conclusions
According to the study results, the compassion-based program reduced the grief experienced by the family caregivers of people suffering from dementia. Nevertheless, the effect of a compassion-based program has been reduced over time. This program can be a good guide for providing society-oriented services to the health team.

Trial registration
This study is registered by Iranian Registry of Clinical Trials with decree code:IRCT20190712044181N4 on 02/06/2020.
Effect of sodium-glucose cotransporter-2 inhibitors on blood pressure in patients with heart failure: a systematic review and meta-analysis
Authors: Li Min , Yi Tieci , Fan Fangfang , Qiu Lin , Wang Zhi , Weng Haoyu , Ma Wei , Zhang Yan , Huo Yong 
Published: July 2022

Abstract
Background
Recent studies have shown that sodium-glucose cotransporter-2 inhibitors (SGLT2i) can achieve significant improvement in blood pressure in people with diabetes. Furthermore, randomized controlled trials (RCTs) have established that SGLT2i have a cardioprotective effect in adults with heart failure (HF). Therefore, we performed this systematic review an meta-analysis to determine the effect of SGLT2i on blood pressure in patients with HF.

Methods
We used the Medline, Cochrane Library, Embase, and PubMed databases to identify RCTs (published through to April 29, 2022) that evaluated the effect of SGLT2i on HF. The primary endpoint was defined as change in blood pressure. Secondary composite outcomes were heart rate, hematocrit, body weight, and glycated hemoglobin. The N-terminal pro-brain natriuretic peptide level, Kansas City Cardiomyopathy Questionnaire scores, and estimated glomerular filtration rate were also evaluated.

Results
After a literature search and detailed evaluation, 16 RCTs were included in the quantitative analysis. Pooled analyses showed that SGLT2i were associated with a statistically significant reduction in systolic blood pressure of 1.68 mmHg (95% confidence interval [CI] − 2.7, − 0.66; P = 0.001; I2 = 45%) but not diastolic blood pressure (mean difference [MD] −1.06 mmHg; 95% CI −3.20, 1.08; P = 0.33; I2 = 43%) in comparison with controls. Furthermore, SGLT2i decreased body weight (MD − 1.36 kg, 95% CI − 1.68, − 1.03; P < 0.001; I2 = 61%) and the glycated hemoglobin level (MD − 0.16%, 95% CI − 0.28, −0.04, P = 0.007; I2 = 91%) but increased hematocrit (MD 1.63%, 95% CI 0.63, 2.62, P = 0.001; I2 = 100%). There was no significant between-group difference in heart rate (MD − 0.35; 95% CI − 2.05, 1.35, P = 0.69; I2 = 0).

Conclusions
SGLT2i decreased systolic blood pressure in patients with HF but had no effect on diastolic blood pressure. These inhibitors may have numerous potentially beneficial clinical effects in patients with HF.
Deletion of NTH1 and HSP12 increases the freeze–thaw resistance of baker’s yeast in bread dough
Authors: Chen Bo-Chou , Lin Huan-Yu 
Published: July 2022

Abstract
Background
The intracellular molecule trehalose in Saccharomyces cerevisiae may have a major protective function under extreme environmental conditions. NTH1 is one gene which expresses trehalase to degrade trehalose. Small heat shock protein 12 (HSP12 expressed) plays a role in protecting membranes and enhancing freezing stress tolerance.

Results
An optimized S. cerevisiae CRISPR-Cpf1 genome-editing system was constructed. Multiplex genome editing using a single crRNA array was shown to be functional. NTH1 or/and HSP12 knockout in S. cerevisiae enhanced the freezing stress tolerance and improved the leavening ability after freezing and thawing.

Conclusions
Deleting NTH1 in the combination with deleting HSP12 would strengthen the freezing tolerance and protect the cell viability from high rates of death in longer-term freezing. It provides valuable insights for breeding novel S. cerevisiae strains for the baking industry through a more precise, speedy, and economic genome-editing system.
CDC6 is a prognostic biomarker and correlated with immune infiltrates in glioma
Authors: Wang Feng , Zhao Fen , Zhang Li , Xiong Lai , Mao Qing , Liu Yanhui , Qiu Xiaoguang , Wang Xiang , Shui Lin , Chen Xi , Ren Kexing , Shui Pixian , Zhang Qiongwen , Deng Yifei , Li Weimin , Xie Xiaoqi , Wu Dengbin , Li Tao , Lang Jinyi , Liu Lei , Chen Huaying , Xu Jianguo , Bai Sen , Li Zhiping , Yue Qiang , Chen Ni , Zhou Bingwen , Yi Cheng , Wei Yuquan , Fu Yuchuan , Luo Yong , Gou Qiheng , Liu Lunxu , Liu Yuanzhao , Kang Jingbo , Wang Junjie , Jing Dongcun , Zhang Fuquan , Yang Xiaoyan , Li Xianfeng , Jiang Tao , Zhang Zongcun , Zhou Yizhi , Yi Junlin 
Published: July 2022

AbstractBackgroundCell division cycle 6 (CDC6) has been proven to be associated with the initiation and progression of human multiple tumors. However, it’s role in glioma, which is ranked as one of the common primary malignant tumor in the central nervous system and is associated with high morbidity and mortality, is unclear.MethodsIn this study, we explored CDC6 gene expression level in pan-cancer. Furthermore, we focused on the relationships between CDC6 expression, its prognostic value, potential biological functions, and immune infiltrates in glioma patients. We also performed vitro experiments to assess the effect of CDC6 expression on proliferative, apoptotic, migrant and invasive abilities of glioma cells.ResultsAs a result, CDC6 expression was upregulated in multiple types of cancer, including glioma. Moreover, high expression of CDC6 was significantly associated with age, IDH status, 1p/19q codeletion status, WHO grade and histological type in glioma (allp < 0.05). Meanwhile, high CDC6 expression was associated with poor overall survival (OS) in glioma patients, especially in different clinical subgroups. Furthermore, a univariate Cox analysis showed that high CDC6 expression was correlated with poor OS in glioma patients. Functional enrichment analysis indicated that CDC6 was mainly involved in pathways related to DNA transcription and cytokine activity, and Gene Set Enrichment Analysis (GSEA) revealed that MAPK pathway, P53 pathway and NF-κB pathway in cancer were differentially enriched in glioma patients with high CDC6 expression. Single-sample gene set enrichment analysis (ssGSEA) showed CDC6 expression in glioma was positively correlated with Th2 cells, Macrophages and Eosinophils, and negative correlations with plasmacytoid dendritic cells, CD8 T cells and NK CD56bright cells, suggesting its role in regulating tumor immunity. Finally, CCK8 assay, flow cytometry and transwell assays showed that silencing CDC6 could significantly inhibit proliferation, migration, invasion, and promoted apoptosis of U87 cells and U251 cells (p < 0.05).ConclusionIn conclusion, high CDC6 expression may serve as a promising biomarker for prognosis and correlated with immune infiltrates, presenting to be a potential immune therapy target in glioma.
Effects of different potassium-lowering regimens on acute hyperkalemia in hemodialysis patients: a real-world, retrospective study
Authors: Yao Lan , Xing Xiaoyang , Li Yubao , Zhang Fangxing , Li Ping , Liang Xianhui , Wang Pei 
Published: July 2022

Abstract
Background
Hyperkalemia is a common and potentially life-threatening electrolyte disorder in maintenance hemodialysis (MHD) patients. This study aimed to evaluate the efficacy and safety of potassium-lowering regimens during treatment of acute hyperkalemia in MHD patients.

Methods
This retrospective real-world study (RWS) was conducted among 139 MHD patients. They were given different potassium-lowering regimens, viz. the insulin and glucose (IG) intravenous administration group (IG, 46 patients), the sodium polystyrene sulfonate group (SPS, 33 patients), the sodium zirconium cyclosilicate group (SZC, 38 patients), the IG + SZC group (22 patients). The primary efficacy end point was the rate of serum potassium decline at 2 h. The rates of adverse events were also compared.

Results
At 2 h, the mean ± SE change of serum potassium level was − 0.71 ± 0.32 mmol per liter (mmol/L) in IG group, − 0.43 ± 0.38 mmol/L in SPS group, − 0.64 ± 0.36 mmol/L in SZC group, − 1.43 ± 0.38 mmol/L in IG + SZC group (P < 0.01). The serum potassium level in IG + SZC group decreased more than that in the other three groups (P < 0.01), while the serum potassium level in SPS group decreased less than that in the other three groups (P < 0.05). There was no significant difference on the decrease of the serum potassium level between IG group and the SZC group (P = 0.374). The IG group and the IG + SZC group had higher rates of symptomatic hypoglycemia. The SPS group had significant decreases of serum calcium and serum magnesium after treatment.

Conclusions
Among MHD patients with acute hyperkalemia, SZC had similar potassium-lowering efficacy with IG intravenous administration at 2 h and superior on convenience and side-effects.
Aged microglia promote peripheral T cell infiltration by reprogramming the microenvironment of neurogenic niches
Authors: Zhang Xiaotao , Wang Rui , Chen Haoran , Jin Chenghao , Jin Ziyang , Lu Jianan , Xu Liang , Lu Yunrong , Zhang Jianmin , Shi Ligen 
Published: July 2022

Abstract
Background
The immune cell compartment of the mammalian brain changes dramatically and peripheral T cells infiltrate the brain parenchyma during normal aging. However, the mechanisms underlying age-related T cell infiltration in the central nervous system remain unclear.

Results
Chronic inflammation and peripheral T cell infiltration were observed in the subventricular zone of aged mice. Cell-cell interaction analysis revealed that aged microglia released CCL3 to recruit peripheral CD8+ memory T cells. Moreover, the aged microglia shifted towards a pro-inflammation state and released TNF-α to upregulate the expression of VCAM1 and ICAM1 in brain venous endothelial cells, which promoted the transendothelial migration of peripheral T cells. In vitro experiment reveals that human microglia would also transit to a chemotactic phenotype when treated with CSF from the elderly.

Conclusions
Our research demonstrated that microglia play an important role in the aging process of brain by shifting towards a pro-inflammation and chemotactic state. Aged microglia promote T cell infiltration by releasing chemokines and upregulating adhesion molecules on venous brain endothelial cells.
Issues and recommendations for the residual approach to quantifying cognitive resilience and reserve
Authors: Elman Jeremy A. , Vogel Jacob W. , Bocancea Diana I. , Ossenkoppele Rik , van Loenhoud Anna C. , Tu Xin M. , Kremen William S. ,   the Alzheimer’s Disease Neuroimaging Initiative
Published: July 2022

Abstract
Background
Cognitive reserve and resilience are terms used to explain interindividual variability in maintenance of cognitive health in response to adverse factors, such as brain pathology in the context of aging or neurodegenerative disorders. There is substantial interest in identifying tractable substrates of resilience to potentially leverage this phenomenon into intervention strategies. One way of operationalizing cognitive resilience that has gained popularity is the residual method: regressing cognition on an adverse factor and using the residual as a measure of resilience. This method is attractive because it provides a statistical approach that is an intuitive match to the reserve/resilience conceptual framework. However, due to statistical properties of the regression equation, the residual approach has qualities that complicate its interpretation as an index of resilience and make it statistically inappropriate in certain circumstances.

Methods and results
We describe statistical properties of the regression equation to illustrate why the residual is highly correlated with the cognitive score from which it was derived. Using both simulations and real data, we model common applications of the approach by creating a residual score (global cognition residualized for hippocampal volume) in individuals along the AD spectrum. We demonstrate that in most real-life scenarios, the residual measure of cognitive resilience is highly correlated with cognition, and the degree of this correlation depends on the initial relationship between the adverse factor and cognition. Subsequently, any association between this resilience metric and an external variable may actually be driven by cognition, rather than by an operationalized measure of resilience. We then assess several strategies proposed as potential solutions to this problem, such as including both the residual and original cognitive measure in a model. However, we conclude these solutions may be insufficient, and we instead recommend against “pre-regression” strategies altogether in favor of using statistical moderation (e.g., interactions) to quantify resilience.

Conclusions
Caution should be taken in the use and interpretation of the residual-based method of cognitive resilience. Rather than identifying resilient individuals, we encourage building more complete models of cognition to better identify the specific adverse and protective factors that influence cognitive decline.
RNA modification-related variants in genomic loci associated with body mass index
Authors: Wu Jingyun , Wang Mimi , Han Limin , Zhang Huan , Lei Shufeng , Zhang Yonghong , Mo Xingbo 
Published: July 2022

Abstract
Background
Genome-wide association studies (GWASs) have identified hundreds of loci for body mass index (BMI), but functional variants in these loci are less known. The purpose of this study was to identify RNA modification-related SNPs (RNAm-SNPs) for BMI in GWAS loci. BMI-associated RNAm-SNPs were identified in a GWAS of approximately 700,000 individuals. Gene expression and circulating protein levels affected by the RNAm-SNPs were identified by QTL analyses. Mendelian randomization (MR) methods were applied to test whether the gene expression and protein levels were associated with BMI.

Results
A total of 78 RNAm-SNPs associated with BMI (P < 5.0 × 10–8) were identified, including 65 m6A-, 10 m1A-, 3 m7G- and 1 A-to-I-related SNPs. Two functional loss, high confidence level m6A-SNPs, rs6713978 (P = 6.4 × 10–60) and rs13410999 (P = 8.2 × 10–59), in the intron of ADCY3 were the top significant SNPs. These two RNAm-SNPs were associated with ADCY3 gene expression in adipose tissues, whole blood cells, the tibial nerve, the tibial artery and lymphocytes, and the expression levels in these tissues were associated with BMI. Proteins enriched in specific KEGG pathways, such as natural killer cell-mediated cytotoxicity, the Rap1 signaling pathway and the Ras signaling pathway, were affected by the RNAm-SNPs, and circulating levels of some of these proteins (ADH1B, DOCK9, MICB, PRDM1, STOM, TMPRSS11D and TXNDC12) were associated with BMI in MR analyses.

Conclusions
Our study identified RNAm-SNPs in BMI-related genomic loci and suggested that RNA modification may affect BMI by affecting the expression levels of corresponding genes and proteins.
Evidence of cerebellar TDP-43 loss of function in FTLD-TDP
Authors: Pickles Sarah , Gendron Tania F. , Koike Yuka , Yue Mei , Song Yuping , Kachergus Jennifer M. , Shi J. , DeTure Michael , Thompson E. Aubrey , Oskarsson Björn , Graff-Radford Neill R. , Boeve Bradley F. , Petersen Ronald C. , Wszolek Zbigniew K. , Josephs Keith A. , Dickson Dennis W. , Petrucelli Leonard , Cook Casey N. , Prudencio Mercedes 
Published: July 2022

AbstractFrontotemporal lobar degeneration with TDP-43 pathology (FTLD-TDP) is a neurodegenerative disease primarily affecting the frontal and/or temporal cortices. However, a growing body of evidence suggests that the cerebellum contributes to biochemical, cognitive, and behavioral changes in FTLD-TDP. To evaluate cerebellar TDP-43 expression and function in FTLD-TDP, we analyzed TDP-43 protein levels and the splicing of a TDP-43 target, STMN2, in the cerebellum of 95 FTLD-TDP cases and 25 non-neurological disease controls. Soluble TDP-43 was decreased in the cerebellum of FTLD-TDP cases but a concomitant increase in insoluble TDP-43 was not seen. Truncated STMN2 transcripts, an indicator of TDP-43 dysfunction, were elevated in the cerebellum of FTLD-TDP cases and inversely associated with TDP-43 levels. Additionally, lower cerebellar TDP-43 associated with a younger age at disease onset. We provide evidence of TDP-43 loss of function in the cerebellum in FTLD-TDP, supporting further investigation into this understudied brain region.
Spatial heterogeneity analysis and source identification of heavy metals in soil: a case study of Chongqing, Southwest China
Authors: Chen Wende , Cai Yankun , Zhu Kun , Wei Jun , Lu Yutian 
Published: July 2022

Abstract
Background
Heavy metal pollution in urban soil is an important indicator of environmental pollution. Selecting the best interpolation method can accurately reflect the distribution characteristics of heavy metals in soil. In addition, source analysis can reveal heavy metal pollution of soil and help manage and protect the soil environment. This study used a uniform sampling method and obtained a total of 342 sampling points. After acid reduction, the concentration of As, Cu, and Mn in each sample was determined by ICP-MS (Agilent VISTA, USA). The accuracy and results of different spatial interpolation methods were compared and the CATREG model was used to identify the sources of heavy metal pollution.

Results
The average concentration of As, Cu, and Mn were 5.802 mg kg −1, 23.992 mg kg−1, and 573.316 mg kg−1, respectively, lower than the soil background value of Chongqing. Compared to other Chinese cities and countries in the world, the concentration of As and Cu was lower in Chongqing, while the concentration of only Mn was higher. The interpolation results of inverse distance weighting (IDW) and radial basis function (RBF) largely retained the maximum information of element concentration. Soil source identification found that population density mainly affected Cu (0.539), slope Mn (0.206), and water quality As (0.453). The highest hotspot value (99% confidence interval), high hotspot value (95% confidence interval), and high hotspot value (90% confidence interval) of As were adjacent to the secondary water environment. Furthermore, the highest hotspot value of Cu was mainly located in the surrounding areas with population density > 3000/km2 and 1000–3000/km2. Mn was distributed along the slope direction and diffused from center to periphery.

Conclusions
Different spatial interpolation methods are significant for the analysis of soil properties. Heavy metals have a high degree of coincidence with environmental factors such as slope and population. The results of this research provide a reference for formulating effective control and management strategies for heavy metal pollution of soil.

Graphical Abstract
Updated absolute gravity rate of change associated with glacial isostatic adjustment in Southeast Alaska and its utilization for rheological parameter estimation
Authors: Naganawa Kazuhiro , Kazama Takahito , Fukuda Yoichi , Miura Satoshi , Hayakawa Hideaki , Ohta Yusaku , Freymueller Jeffrey T. 
Published: July 2022

AbstractIn Southeast Alaska (SE-AK), rapid ground uplift of up to 3 cm/yr has been observed associated with post-Little Ice Age glacial isostatic adjustment (GIA). Geodetic techniques such as global navigation satellite system (GNSS) and absolute gravimetry have been applied to monitor GIA since the last 1990s. Rheological parameters for SE-AK were determined from dense GNSS array data in earlier studies. However, the absolute gravity rate of change observed in SE-AK was inconsistent with the ground uplift rate, mainly because few gravity measurements from 2006 to 2008 resulted in imprecise gravity variation rates. Therefore, we collected absolute gravity data at six gravity points in SE-AK every June in 2012, 2013, and 2015, and updated the gravity variation rate by reprocessing the absolute gravity data collected from 2006 to 2015. We found that the updated gravity variation rate at the six gravity points ranged from −2.05 to −4.40 $$\upmu$$
μ
Gal/yr, and its standard deviation was smaller than that reported in the earlier study by up to 88 %. We also estimated the rheological parameters under the assumption of the incompressible Earth to explain the updated gravity variation rate, and their optimal values were determined to be 55 km and $$1.2 \times 10^{19}$$

1.2
×

10
19

Pa s for lithospheric thickness and upper mantle viscosity, respectively. These optimal values are consistent with those independently obtained from GNSS observations, and this fact indicates that absolute gravimetry can be one of the most effective methods in determining sub-surface structural parameters associated with GIA accurately. Moreover, we utilized the gravity variation rates for estimating the ratio of gravity variation to vertical ground deformation at the six gravity points in SE-AK. The viscous ratio values were obtained as −0.168 and −0.171 $$\upmu$$
μ
Gal/mm from the observed data and the calculated result, respectively. These ratios are greater (in absolute) than those for other GIA regions (−0.15 to −0.16 $$\upmu$$
μ
Gal/mm in Antarctica and Fennoscandia), because glaciers in SE-AK have melted more recently than in other regions.
Graphical Abstract