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AIMS: This study sought to explore latent categories of electronic health (e-health) literacy among stroke patients and analyse its influencing factors. DESIGN: A cross-sectional, descriptive exploratory design with the STROBE reporting checklist was applied. METHODS: Between July and October 2020, 558 stroke participants from three tertiary care hospitals in Henan Province, China, were recruited using a convenience sampling method. A general information questionnaire and the Electronic Health Literacy Scale were used to collect their socio-demographic information and e-health literacy. Latent profile analysis was used to analyse latent categories of e-health literacy in stroke patients. Multiple logistic regression was used to analyse factors influencing latent categories of e-health literacy in stroke patients. RESULTS: Three latent categories of e-health literacy existed, including the low e-health literacy group, the low application-high decision-making group and the high literacy-low decision-making group. Multiple logistic regression showed that education level, presence of comorbidities, willingness to interact with people with mental illness, health information sources, frequency of Internet access, frequency of health information inquiry and willingness to receive remote care were predictors of the participants' latent categories of e-health literacy. CONCLUSION: Three latent categories of e-health literacy in stroke patients exist, and each latent category's characteristics should be considered while developing health education programmes. It is imperative that healthcare providers understand the requirement of creating tailored and efficient health education programmes for various categories of stroke patients to enhance their e-health literacy. IMPACT: It is imperative to improve Chinese stroke patients' overall e-health literacy. We categorized stroke patients' e-health literacy using advanced LPA. These findings hold implications for healthcare approaches, contributing to the enhancement of stroke patients' e-health literacy, enabling them to apply the acquired e-health information to manage and solve their own health issues. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.
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BACKGROUND: Breast cancer is the second most common cancer in humans. Its therapy procedures such as breast biopsy can cause anxiety and persistent pain in patients. Virtual reality (VR) has been applied to promote comfort in various populations. However, the effectiveness of VR in relieving pain and anxiety in patients undergoing breast cancer treatment is unclear. PURPOSE: This study was designed to examine the effect of VR on anxiety and pain in people undergoing treatment for breast cancer. METHODS: PubMed, Cochrane, Embase, Scopus, Web of Science, and MEDLINE databases were searched for studies involving VR, pain, and anxiety in patients with breast cancer published up to March 2022. The Cochrane Handbook for Systems quality evaluation standard 6.3.0 was followed to assess risk of bias in the identified studies, with the results reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Subsequently, a meta-analysis of the included data was conducted using RevMan 5.3 software. RESULTS: Six randomized controlled trials and one quasi-experimental study were included. The strength of the evidence ranged from moderate to high. Although VR was found to ameliorate anxiety in patients with breast cancer, only three studies showed statistically significant changes. All of the included studies reported statistically significant improvement in pain levels. In addition, two of the studies reported cybersickness symptoms as a common side effect of VR. CONCLUSIONS: VR has an important role to play in alleviating pain in patients with breast cancer. However, evidence demonstrating VR's importance in alleviating anxiety symptoms in this population is insufficient. Studies conducted with larger sample sizes and high-quality research methodologies will be necessary to clarify this issue. Clinical nurses should address the potential side effects of VR.
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Ansiedade , Neoplasias da Mama , Manejo da Dor , Realidade Virtual , Humanos , Neoplasias da Mama/psicologia , Neoplasias da Mama/complicações , Feminino , Ansiedade/terapia , Ansiedade/psicologia , Ansiedade/etiologia , Manejo da Dor/métodos , Manejo da Dor/normasRESUMO
The phenomenon of the experiences of mutual support of co-morbid couples of recurrent older stroke survivors during hospitalization is receiving increased interest from nursing scholars. However, little is known about how they support each other. The aim of this study was to explore the experiences of co-morbid couples of older stroke survivors with recurrent stroke who support each other during hospitalization. A descriptive phenomenology study was employed. 21 co-morbid couples with recurrent older stroke survivors were recruited. The interviews were analyzed with Colaizzi's descriptive analysis framework. Three themes emerged from the data analysis: (1) maintaining the couple's relationship through mutual support, (2) mutual support so as not to drag the children down, and (3) providing support while struggling between ideals and reality. It is crucial to provide them with individualized, tailored support and interventions that can help these couples achieve a more optimal balance in their mutual support.
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INTRODUCTION: Alcohol consumption has an impact on the frailty, but current research in China lacks a detailed classification of alcohol use. This study aimed to explore the relationship between different drinking patterns and frailty in older adults. METHODOLOGY: The data came from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) study, which included older adults (aged ⧠60). Their demographic data, drinking status, and frailty index were collected in CLHLS. Through logistic regression models to analyze the correlation between alcohol consumption and frailty. RESULTS: A total of 14,931 participants were included in the analysis. The prevalence of frailty was 29.1%, 35.2%, and 14.9% among risk-free, past risky, and now risky drinkers, respectively. After adjusting for covariates, past risky drinking was a risk factor for frailty (p = .003). DISCUSSION: High-risk alcohol consumption is positively correlated with frailty. Prevention and reduction of risky drinking in older adults may help protect them from developing frailty.
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BACKGROUND: Type 2 diabetes mellitus (T2DM) represents a significant worldwide health issue, experiencing an increasing incidence rate. Effective dietary strategies are vital for T2DM management, but the optimal dietary patterns remain debated due to inconsistent research outcomes and single-outcome reporting. Network Meta-Analysis (NMA) provides a powerful approach for integrating data from randomized controlled trials (RCTs), enabling a detailed evaluation of the impact of different dietary patterns. This document presents our strategy for a systematic review and network meta-analysis, aimed at assessing the influence of key dietary patterns on glycemic control, lipid profiles, and weight management in individuals with Type 2 Diabetes Mellitus (T2DM). MATERIALS AND METHODS: Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) and network meta-analyses guidelines, we conducted a comprehensive search of PubMed, EMBASE, and the Cochrane Library, without language or date restrictions. Our objective is to assess the efficacy of various dietary interventions in managing Type 2 Diabetes Mellitus (T2DM). We used standardized mean differences for pairwise comparisons and a Bayesian framework for ranking interventions via Surface Under the Cumulative Ranking Curve (SUCRA). Key analyses include heterogeneity, transitivity, and sensitivity assessments, along with quality and risk evaluations using the Cochrane Collaboration's tool and the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system. ETHICS AND DISSEMINATION: This systematic review and network meta-analysis involve aggregate data from previous trials, obviating the need for additional ethical approval. The search strategy will be executed starting October 2023, with all searches completed by December 2023, to encompass the most current studies available. Findings will be shared through academic conferences and peer-reviewed journals focused on diabetes care and nutrition. TRIAL REGISTRATION: PROSPERO registration number CRD42023465791.
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Diabetes Mellitus Tipo 2 , Metanálise em Rede , Revisões Sistemáticas como Assunto , Diabetes Mellitus Tipo 2/dietoterapia , Humanos , Dieta , Metanálise como Assunto , Ensaios Clínicos Controlados Aleatórios como Assunto , Padrões DietéticosRESUMO
AIMS: The aim of the study is to develop a model using a machine learning approach that can effectively identify the quality of home care in communities. DESIGN: A cross-sectional design. METHODS: In this study, we evaluated the quality of home care in 170 community health service centres between October 2022 and February 2023. The Home Care Service Quality Questionnaire was used to collect information on home care structure, process and outcome quality. Then, an intelligent and comprehensive evaluation model was developed using a convolutional neural network, and its performance was compared with random forest and logistic regression models through various performance indicators. RESULTS: The convolutional neural network model was built upon seven variables, which encompassed the qualification of home nursing staff, developing and practicing emergency plan to cope with different emergency rescues in home environment, being equipped with medication and supplies for first aid according to specific situations, assessing nutrition condition of home patients, allocation of the number of home nursing staff, cases of new pressure ulcers and patient satisfaction rate. Remarkably, the convolutional neural network model demonstrated superior performance, outperforming both the random forest and regression models. CONCLUSION: The successful development and application of the convolutional neural network model highlight its ability to leverage data from community health service centres for rapid and accurate grading of home care quality. This research points the way to home care quality improvement. IMPACT: The model proposed in this study, coupled with the aforementioned factors, is expected to enhance the accuracy and efficiency of a comprehensive evaluation of home care quality. It will also help managers to take purposeful measures to improve the quality of home care. REPORTING METHOD: The reporting of this study (Observational, cross-sectional study) conforms to the STROBE statement. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: The application of this model has the potential to contribute to the advancement of high-quality home care, particularly in lower-middle-income communities.
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High mountains harbor a considerable proportion of biodiversity, but we know little about how diverse plants adapt to the harsh environment. Here we finished a high-quality genome assembly for Dasiphora fruticosa, an ecologically important plant distributed in the Qinghai-Tibetan Plateau and lowland of the Northern Hemisphere, and resequenced 592 natural individuals to address how this horticulture plant adapts to highland. Demographic analysis revealed D. fruticosa underwent a bottleneck after Naynayxungla Glaciation. Selective sweep analysis of two pairs of lowland and highland populations identified 63 shared genes related to cell wall organization or biogenesis, cellular component organization, and dwarfism, suggesting parallel adaptation to highland habitats. Most importantly, we found that stronger purging of estimated genetic load due to inbreeding in highland populations apparently contributed to their adaptation to the highest mountain. Our results revealed how plants could tolerate the extreme plateau, which could provide potential insights for species conservation and crop breeding.
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Genoma de Planta , Seleção Genética , Adaptação Fisiológica/genética , AltitudeRESUMO
BACKGROUND: Glycated hemoglobin, or hemoglobin A1c (HbA1c), serves as a crucial marker for diagnosing diabetes and monitoring its progression. We aimed to assess the interference posed by common Hb variants on popular HbA1c measurement systems. METHODS: A total of 63 variant and nonvariant samples with target values assigned by the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) reference method were included. We assessed 6 methods for measuring HbA1c in the presence of HbS, HbC, HbD, HbE, and fetal hemoglobin (HbF): 2 cation-exchange high-performance liquid chromatography (HPLC) methods (Bio-Rad D-100 and HLC-723 G8), a capillary electrophoresis (CE) method (Sebia Capillarys 3 TERA), an immunoassay (Roche c501), an enzyme assay system (Mindray BS-600M), and a boronate affinity method (Primus Premier Hb9210). RESULTS: The HbA1c results for nonvariant samples from the 6 methods were in good agreement with the IFCC reference method results. The Bio-Rad D-100, Capillarys 3, Mindray BS-600M, Premier Hb9210, and Roche c501 showed no interference from HbS, HbC, HbD, and HbE. Clinically significant interference was observed for the HLC-723 G8 standard mode. Elevated HbF levels caused significant negative biases for all 6 methods, which increased with increasing HbF concentration. CONCLUSION: Elevated levels of HbF can severely affect HbA1c measurements by borate affinity, immunoassays, and enzyme assays.
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Background: Copper and copper-binding proteins are key components of tumour progression as they play an important role in tumour invasion and migration, and abnormal accumulation of copper (Cu) may be intimately linked to with lung adenocarcinoma (LUAD). Methods: Data on lung adenocarcinoma were sourced from the Cancer Genome Atlas (TCGA) database and the National Centre for Biotechnology Information (GEO). 10x scRNA sequencing, which is from Bischoff P et al, was used for down-sequencing clustering and subgroup identification using TSNE. The genes for Copper-binding proteins (CBP) were acquired from the MSigDB database. LASSO-Cox analysis was subsequently used to construct a model for copper-binding proteins (CBPRS), which was then compared to lung adenocarcinoma models developed by others. External validation was carried out in the GSE31210 and GSE50081 cohorts. The effectiveness of immunotherapy was evaluated using the TIDE algorithm and the IMvigor210, GSE78220, and TCIA cohorts. Furthermore, differences in mutational profiles and the immune microenvironment between different risk groups were investigated. The CBPRS's key regulatory genes were screened using ROC diagnostic and KM survival curves. The differential expression of these genes was then verified by RT-qPCR. Results: The six CBP genes were identified as highly predictive of LUAD prognosis and significantly correlated with it. Multivariate analysis showed that patients in the low-risk group had a higher overall survival rate than those in the high-risk group, indicating that the model was an independent predictor of LUAD. The CBPRS demonstrated superior predictive ability compared to 11 previously published models. We constructed a column-line graph that includes CBPRS and clinical characteristics, which exhibits high predictive performance. Additionally, we observed significant differences in biological functions, mutational landscapes, and immune cell infiltration in the tumour microenvironment between the high-risk and low-risk groups. It is noteworthy that immunotherapy was also significant in both the high- and low-risk groups. These results suggest that the model has good predictive efficacy. Conclusions: The CBP model demonstrated good predictive performance, revealing characteristics of the tumour microenvironment. This provides a new method for assessing the efficacy of pre-immunisation and offers a potential strategy for future treatment of lung adenocarcinoma.
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OBJECTIVES: To investigate the utilization of mobility device, whether age and gender-related use disparities exist, and whether falls can further explain use disparities over time among Chinese older adults in need of devices. METHODS: Community-dwelling older adults who needed mobility devices and completed four waves of the China Health and Retirement Survey 2011-2018 were included (N = 1,302). A categorical variable was created to represent respondents' intersectionality of age (50-64, 65-74, and ≥75 years) and gender (men vs. women). RESULTS: The baseline prevalence of device use was 18.2 % (n = 237). Overall, the device use increased over time. Intersectionality-wise, oldest-old women were 1.53 times more likely than youngest-old men to use devices over time. Respondents with falls were more likely to use devices over time. CONCLUSIONS: Older adults with mobility impairment, especially the oldest-old women and those with falls, lag in mobility devices utilization, suggesting future tailored interventions to support these populations.
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Acidentes por Quedas , Vida Independente , Limitação da Mobilidade , Humanos , Masculino , Feminino , Idoso , Pessoa de Meia-Idade , Acidentes por Quedas/estatística & dados numéricos , Acidentes por Quedas/prevenção & controle , China , Tecnologia Assistiva/estatística & dados numéricos , Fatores Sexuais , Idoso de 80 Anos ou mais , Fatores Etários , Inquéritos e QuestionáriosRESUMO
BACKGROUND: Volunteer motivation is essential to advancing community service, education, and career development of nursing students. However, few studies have been conducted on nursing students' volunteer motivation. OBJECTIVES: To investigate the relationship between social support benefit finding and volunteer motivation among nursing students and the role of social support in these relationships. METHOD: This study adopted a descriptive cross-sectional design. A total of 2166 nursing students were recruited from eighteen medical schools in Henan Province, China. Participants completed a sociodemographic questionnaire, the Social Support Scale, the Benefit Finding Scale, and the Volunteer Motivation Scale online between March and May 2022. Correlation and mediation analyses were used to explore the mediating role of social support in the relationships among social support, benefit finding, and volunteer motivation. RESULTS: A total of 2166 valid questionnaires were collected in this study. Benefit finding positively affected volunteer motivation (ß = 0.422, p < 0.01), and perceived social support positively affected volunteer motivation (ß = 0.407, p < 0.01). Perceived social support played a mediating role between benefit finding and volunteer motivation (ß = 0.112, 95 % confidence interval 0.076, 0.148). CONCLUSIONS: The study provides evidence on the mechanisms of action between benefit finding and volunteer motivation among nursing students. Professionals in schools and voluntary organizations should prioritize guiding nursing students to explore the motivations behind volunteering while also fostering a supportive environment for student volunteers in nursing.
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Motivação , Apoio Social , Estudantes de Enfermagem , Voluntários , Humanos , Voluntários/psicologia , Voluntários/estatística & dados numéricos , Estudantes de Enfermagem/psicologia , Estudantes de Enfermagem/estatística & dados numéricos , Estudos Transversais , Feminino , Masculino , China , Inquéritos e Questionários , Adulto , Adulto Jovem , PercepçãoRESUMO
OBJECTIVES: Klotho, consisting of membrane klotho and soluble alpha-klotho, is found to be associated with better cognitive outcomes in small samples of the aged population. We aimed to examine the association of serum soluble alpha-klotho with cognitive functioning among older adults using a nationally representative sample of U.S. older adults. METHOD: A total of 2,173 U.S. older adults aged 60-79 years in the National Health and Nutrition Examination Survey from 2011 to 2014 were included in this cross-sectional analysis. Serum soluble alpha-klotho was measured in the laboratory and analyzed with an ELISA kit. Cognitive function was measured using the Consortium to Establish a Registry for Alzheimer's Disease Word Learning subtest (CERAD-WL) immediate and delayed memory, the Animal fluency test (AFT), and the Digit Symbol Substitution Test (DSST). Test-specific and global cognition z-scores were calculated based on sample means and standard deviations. Multivariable linear regression models were applied to examine the association of quartiles and continuous value of serum soluble alpha-klotho with test-specific and global cognition z-scores. Subgroup analysis was conducted by sex. The following covariates were included in the analysis- age, sex, race/ethnicity, education, depressive symptoms, smoking status, body mass index (BMI), physical activity, stroke, prevalent coronary heart disease, total cholesterol, and systolic blood pressure. All the information was self-reported or obtained from health exams. RESULTS: Serum soluble alpha-klotho level in the lowest quartile was associated with lower z-scores for DSST (beta [ß] =-0.13, 95% confidence interval [CI]: -0.25, -0.01). For subgroup analysis, serum soluble alpha-klotho level in the lowest quartile was associated with lower z-scores for DSST (ß=-0.16, 95% CI: -0.32, -0.003) and global cognition (ß=-0.14, 95% CI: -0.28, -0.01) among female participants. No association was found between continuous serum soluble alpha-klotho and cognitive functioning among the participants. CONCLUSIONS: Lower serum soluble alpha-klotho quartile was associated with poorer cognitive functioning among older women. Future studies are expected to examine the longitudinal association between klotho levels and cognitive outcomes.
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Doença de Alzheimer , Transtornos Cognitivos , Humanos , Feminino , Idoso , Inquéritos Nutricionais , Estudos Transversais , Cognição/fisiologia , Transtornos Cognitivos/epidemiologiaRESUMO
BACKGROUND: Patients often consider bone marrow aspiration and biopsy to be one of the most painful medical procedures. The effectiveness of non-pharmacological interventions to reduce pain during bone marrow aspiration and biopsy remains unclear. AIM: To synthesize existing evidence regarding the effectiveness of non-pharmacological interventions in mitigating procedural pain among patients undergoing bone marrow aspiration and biopsy. DESIGN: A systematic review and meta-analysis of randomized controlled trials. METHODS: Six electronic databases, including PubMed, EMBASE, CINAHL, PsycINFO, Cochrane Library and Web of Science were searched from inception to July 15, 2023. The risk of bias was assessed using the Cochrane Risk of Bias Tool Version 2.0. Meta-analysis was conducted using STATA 16. The certainty of the evidence was assessed by the GRADE approach. RESULTS: This meta-analysis included 18 studies derived from 17 articles involving a total of 1017 participants. The pooled results revealed statistically significant pain reduction effects using distraction (SMD: -.845, 95% CI: -1.344 to -.346, p < .001), powered bone marrow biopsy system (SMD: -.266, 95% CI: -.529 to -.003, p = .048), and acupoint stimulation (SMD: -1.016, 95% CI: -1.995 to -.037, p = .042) among patients undergoing bone marrow aspiration and biopsy. However, the pooled results on hypnosis (SMD: -1.228, 95% CI: -4.091 to 1.515, p = .368) showed no significant impact on pain reduction. Additionally, the pooled results for distraction did not demonstrate a significant effect on operative anxiety (MD: -2.942, 95% CI: -7.650 to 1.767, p = .221). CONCLUSIONS: Distraction, powered bone marrow biopsy system and acupoint stimulation are effective in reducing pain among patients undergoing bone marrow aspiration and biopsy. PATIENT OR PUBLIC CONTRIBUTION: Not applicable. RELEVANCE TO CLINICAL PRACTICE: This meta-analysis highlights the effectiveness of distraction, powered bone marrow biopsy system and acupoint stimulation for reducing pain in patients undergoing bone marrow biopsy. Healthcare professionals should consider integrating these interventions into pain management practices for these patients. REGISTRATION: (PROSPERO): CRD42023422854.
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Manejo da Dor , Ensaios Clínicos Controlados Aleatórios como Assunto , Humanos , Manejo da Dor/métodos , Medula Óssea , Biópsia/métodos , Biópsia/efeitos adversos , Dor/prevenção & controle , Dor/etiologiaRESUMO
Ecological divergence due to habitat difference plays a prominent role in the formation of new species, but the genetic architecture during ecological speciation and the mechanism underlying phenotypic divergence remain less understood. Two wild ancestors of rice (Oryza rufipogon and Oryza nivara) are a progenitor-derivative species pair with ecological divergence and provide a unique system for studying ecological adaptation/speciation. Here, we constructed a high-resolution linkage map and conducted a quantitative trait locus (QTL) analysis of 19 phenotypic traits using an F2 population generated from a cross between the two Oryza species. We identified 113 QTLs associated with interspecific divergence of 16 quantitative traits, with effect sizes ranging from 1.61% to 34.1% in terms of the percentage of variation explained (PVE). The distribution of effect sizes of QTLs followed a negative exponential, suggesting that a few genes of large effect and many genes of small effect were responsible for the phenotypic divergence. We observed 18 clusters of QTLs (QTL hotspots) on 11 chromosomes, significantly more than that expected by chance, demonstrating the importance of coinheritance of loci/genes in ecological adaptation/speciation. Analysis of effect direction and v-test statistics revealed that interspecific differentiation of most traits was driven by divergent natural selection, supporting the argument that ecological adaptation/speciation would proceed rapidly under coordinated selection on multiple traits. Our findings provide new insights into the understanding of genetic architecture of ecological adaptation and speciation in plants and help effective manipulation of specific genes or gene cluster in rice breeding.
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Oryza , Oryza/genética , Melhoramento Vegetal , Mapeamento Cromossômico , Fenótipo , Locos de Características Quantitativas/genéticaRESUMO
BACKGROUND: There is heterogeneity in depressive symptoms. However, latent classes of depressive symptoms and the transition and influences of these in young and middle-aged stroke patients are unclear. OBJECTIVES: The aim of this study was to identify the latent classes of depressive symptoms and their transition patterns over time and the influencing factors in young and middle-aged stroke patients from stabilization to 6 months after discharge. METHODS: This is a longitudinal study following the Strengthening the Reporting of Observational Studies in Epidemiology checklist. A total of 272 young and middle-aged stroke participants were recruited from a hospital neurology ward in Henan Province, China. Participants completed a questionnaire on sociodemographic and health information. Latent transition analysis was used to evaluate the transition pattern of latent classes from stabilization to 6 months after discharge and its influencing factors. RESULTS: One hundred seventy-nine participants were included in the analysis. Three latent classes of depressive symptoms were identified as "mild symptoms," "grief-sleep-fatigue symptoms," and "severe symptoms." Most participants remained in the original latent class from stabilization to 6 months after discharge (probability of 83.8%, 83.8%, and 88.8%). From 3 to 6 months after discharge, the participants with fewer complications were more likely to transition into the mild symptom class. DISCUSSION: The findings indicate that from stabilization to 6 months after discharge, depressive symptoms in young and middle-aged stroke patients in China transitioned gradually from the severe symptom class to the mild symptom. Patients with fewer numbers of poststroke complications were more likely to transition to the mild symptoms class. Future research should focus on depressive symptoms in early-stage stroke patients and provide sufficient psychological support to patients with a high number of complications.
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Depressão , Acidente Vascular Cerebral , Humanos , Pessoa de Meia-Idade , Depressão/epidemiologia , Depressão/etiologia , Depressão/psicologia , Pesar , Estudos Longitudinais , Pacientes , Acidente Vascular Cerebral/complicaçõesRESUMO
OBJECTIVE: To evaluate the effectiveness of Tai Chi on cognitive function in older adults with mild cognitive impairment. METHODS: A systematic search of eight English and five Chinese electronic databases was conducted to identify randomized controlled trials of Tai Chi as the intervention. The main outcomes included executive function, episodic memory, visuospatial function, working memory, concentration, memory complaints, and global cognition. The Cochrane RoB tool was used to assess bias in the study. Meta-analysis was conducted using Review Manager 5.4. Narrative syntheses were performed if meta-analysis was inappropriate. RESULTS: A total of eleven trials (905 participants) were included. Meta-analysis showed that Tai Chi significantly and moderately affected executive function (SMD = -1.01, 95% CI: -1.54 to -0.47, p < 0.001), episodic memory (SMD = 0.59, 95% CI: 0.24 to 0.94, p = 0.001), visuospatial function (SMD = 0.38, 95% CI: 0.15 to 0.60, p < 0.001), and global cognition (SMD = 0.57, 95% CI: 0.14 to 1.00, p = 0.01).One study showed that Tai Chi could improve verbal fluency. CONCLUSIONS: This review reveals that Tai Chi can improve executive function, episodic memory, visuospatial function, and global cognition in older adults with mild cognitive impairment, but not working memory, concentration, or memory complaints. These findings are consist with existing reviews about the effectiveness of Tai Chi. Long-duration (> 1500 min) Tai Chi is more effective for improving global cognition. However, the findings should be interpreted with caution due to the potential risk of bias and limited sample sizes of the included studies. Future trials should examine the effectiveness of standardized Tai Chi intervention on cognitive outcomes in older adults with mild cognitive impairment.
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Disfunção Cognitiva , Tai Chi Chuan , Humanos , Idoso , Ensaios Clínicos Controlados Aleatórios como Assunto , Cognição , Disfunção Cognitiva/terapia , Função ExecutivaRESUMO
Genetic load refers to the accumulated and potentially life-threatening deleterious mutations in populations. Understanding the mechanisms underlying genetic load variation of transposable element (TE) insertion, a major large-effect mutation, during range expansion is an intriguing question in biology. Here, we used 1,115 global natural accessions of Arabidopsis (Arabidopsis thaliana) to study the driving forces of TE load variation during its range expansion. TE load increased with range expansion, especially in the recently established Yangtze River basin population. Effective population size, which explains 62.0% of the variance in TE load, high transposition rate, and selective sweeps contributed to TE accumulation in the expanded populations. We genetically mapped and identified multiple candidate causal genes and TEs, and revealed the genetic architecture of TE load variation. Overall, this study reveals the variation in TE genetic load during Arabidopsis expansion and highlights the causes of TE load variation from the perspectives of both population genetics and quantitative genetics.
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Arabidopsis , Elementos de DNA Transponíveis , Elementos de DNA Transponíveis/genética , Arabidopsis/genética , Genética Populacional , Evolução MolecularRESUMO
Conventional chemotherapy based on cytotoxic drugs is facing tough challenges recently following the advances of monoclonal antibodies and molecularly targeted drugs. It is critical to inspire new potential to remodel the value of this classical therapeutic strategy. Here, we fabricate bisphosphonate coordination lipid nanogranules (BC-LNPs) and load paclitaxel (PTX) to boost the chemo- and immuno-therapeutic synergism of cytotoxic drugs. Alendronate in BC-LNPs@PTX, a bisphosphonate to block mevalonate metabolism, works as both the structure and drug constituent in nanogranules, where alendronate coordinated with calcium ions to form the particle core. The synergy of alendronate enhances the efficacy of paclitaxel, suppresses tumor metastasis, and alters the cytotoxic mechanism. Differing from the paclitaxel-induced apoptosis, the involvement of alendronate inhibits the mevalonate metabolism, changes the mitochondrial morphology, disturbs the redox homeostasis, and causes the accumulation of mitochondrial ROS and lethal lipid peroxides (LPO). These factors finally trigger the ferroptosis of tumor cells, an immunogenic cell death mode, which remodels the suppressive tumor immune microenvironment and synergizes with immunotherapy. Therefore, by switching paclitaxel-induced apoptosis to mevalonate metabolism-triggered ferroptosis, BC-LNPs@PTX provides new insight into the development of cytotoxic drugs and highlights the potential of metabolism regulation in cancer therapy.