A corn leaf based-strain sensor and triboelectric nanogenerator for running monitoring and energy harvesting.

Recently, advanced wearable devices with posture sensing and energy harvesting have received widespread attention. Thus, we proposed a dual-function device (energy harvesting and running posture sensing), including carbon attached corn leaf strain sensor (CC-strain sensor) and a corn leaf-based triboelectric nanogenerator (C-TENG).According to the results, the relative resistance rate (ΔR/R0) exhibits linear characteristics in the three strain regions, and its linear coefficients are all above 0.96. Besides, at low strain rates from 0.01% to 0.1%, the CC-strain sensor can reach high sensitivity for monitoring weak signals, such as expressions in dance performances. The C-TENG device can achieve mechanical energy harvesting, providing a way to power low-power portable devices. From the results, the maximum power of C-TENG can arrive at 222 µW (resistance: 100 MΩ). This research can provide a new path to integrate strain sensors and TENG devices in running monitoring.

Dose-response associations of triglyceride to high-density lipoprotein cholesterol ratio and triglyceride-glucose index with arterial stiffness risk.

BACKGROUND: The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride-glucose (TyG) index are novel indexes for insulin resistance (IR). We aimed to evaluate associations of TG/HDL-C and TyG with arterial stiffness risk. METHODS: We enrolled 1979 participants from the Rural Chinese Cohort Study, examining arterial stiffness by brachial-ankle pulse wave velocity (baPWV). Logistic and linear regression models were employed to calculate effect estimates. For meta-analysis, we searched relevant articles from PubMed, Embase and Web of Science up to August 26, 2023. The fixed-effects or random-effects models were used to calculate the pooled estimates. We evaluated dose-response associations using restricted cubic splines. RESULTS: For cross-sectional studies, the adjusted ORs (95%CIs) for arterial stiffness were 1.12 (1.01-1.23) and 1.78 (1.38-2.30) for per 1 unit increment in TG/HDL-C and TyG. In the meta-analysis, the pooled ORs (95% CIs) were 1.26 (1.14-1.39) and 1.57 (1.36-1.82) for per 1 unit increment of TG/HDL-C and TyG. Additionally, both TG/HDL-C and TyG were positively related to PWV, with ß of 0.09 (95% CI 0.04-0.14) and 0.57 (95% CI 0.35-0.78) m/s. We also found linear associations of TG/HDL-C and TyG with arterial stiffness risk. CONCLUSIONS: High TG/HDL-C and TyG were related to increased arterial stiffness risk, indicating TG/HDL-C and TyG may be convincing predictors of arterial stiffness.

Miscarriage and stillbirth in relation to risk of cardiovascular diseases: A systematic review and meta-analysis.

INTRODUCTION: The relationship between pregnancy loss and the risk of cardiovascular diseases (CVDs) remains a matter of debate. Our intention in conducting this meta-analysis was to analyze the relationship between miscarriage and stillbirth and risk of CVDs. METHODS: PubMed, Embase, and Web of Science were systematically searched up to May 30, 2023 for all relevant studies. The random-effects model was applied to estimate the pooled relative risks (RRs) and 95% confidence intervals (95% CIs). We evaluated RR estimates for the risk of CVDs with each additional miscarriage and stillbirth through generalized least squares regression. RESULTS: Twenty-three articles were incorporated into the meta-analysis. For women with a history of miscarriage, the pooled RRs for the risk of total CVDs, coronary heart disease (CHD), stroke, and total CVD deaths were 1.16 (95 % CI 1.10-1.22), 1.26 (1.12-1.41), 1.13 (1.03-1.24), and 1.20 (1.01-1.42), respectively. For women with a history of stillbirth, the pooled RRs for the risk of total CVDs, CHD, stroke, and total CVD deaths were 1.60 (1.34-1.89), 1.30 (1.12-1.50), 1.37 (1.06-1.78), and 1.95 (1.05-3.63), respectively. With each additional miscarriage, the risk increased for total CVDs (1.08, 1.04-1.13), CHD (1.08, 1.04-1.13), and stroke (1.05, 1.00-1.10). With each additional stillbirth, the risk increased for total CVDs (1.11, 1.03-1.21) and CHD (1.13, 1.07-1.19). CONCLUSION: This meta-analysis indicates that both miscarriages and stillbirths are related to a higher risk of total CVDs, CHD, stroke, and total CVD deaths. The risk of total CVDs and CHD increased with the number of miscarriages or stillbirths.

Obesity and risk of depressive disorder in children and adolescents: A meta-analysis of observational studies.

PURPOSE: This meta-analysis evaluated the relationship between overweight/obesity and depressive disorders in children and adolescents. METHODS: We examined the databases of PubMed, Embase and Web of Science for pertinent observational studies released up until 20 February 2022. The pooled relative risks (RRs) and 95% confidence intervals (CIs) of obesity and overweight with depressive disorder were calculated by means of random-effects models. The Newcastle-Ottawa Quality Assessment Scale and Agency for Healthcare Research and Quality scale were adopted to evaluate the study quality. RESULTS: Finally, for this meta-analysis, we evaluated 22 observational publications covering 175 135 participants (5 cohort study articles, 1 case-control study article and 16 cross-sectional study articles). A significant positive association was found between obesity and the risk of depression (RR 1.32, 95% CI 1.09-1.60, I2 = 79.90%, Pheterogeneity < 0.001) and in the association between obesity and depressive symptoms (RR 1.16, 95% CI: 1.00-1.35, I2 = 25.0%, Pheterogeneity = 0.247). On sensitivity analysis, the pooled RRs remained robust. Subgroup analysis indicated that obese children and teenagers in western countries were more prone to depression. CONCLUSION: Evidence from this meta-analysis, based on observational studies, supported the idea that obese children and adolescents are more likely to experience depression and depressive symptoms.

Association of methylation risk score with incident type 2 diabetes mellitus: A nested case-control study.

AIMS: To investigate the association of methylation risk score (MRS) and its interactions with environmental factors with type 2 diabetes mellitus (T2DM) risk. METHODS: We conducted a nested case-control study with 241 onset cases and 241 matched controls. Conditional logistic regression models were employed to identify risk CpG sites. Simple and weighted MRSs were constructed based on the methylation levels of ATP-binding cassette G1 gene, fat mass and obesity associated gene, potassium voltage-gated channel member 1 gene, and thioredoxin-interacting protein gene previously associated with T2DM to estimate the association of MRS with T2DM risk. Stratified analyses were used to investigate interactions between MRS and environmental factors. RESULTS: A total of 10 CpG loci were identified from the aforementioned genes to calculate MRS. After controlling for potential confounding factors, taking tertile 1 as reference, the odds ratios (ORs) and 95% confidence intervals (CIs) for T2DM of tertile 3 was 2.39 (1.36-4.20) for simple MRS and 2.59 (1.45-4.63) for weighted MRS. With per SD score increment in MRS, the OR (95% CI) was 1.66 (1.29-2.14) and 1.60 (1.24-2.08) for simple and weighted MRSs, respectively. J-curved associations were observed between both simple and weighted MRSs and T2DM risks. Additionally, multiplication interactions for smoking and hypertension with simple MRS on the risk of T2DM were found, similarly for smoking and obesity with weighted MRS on the risk of T2DM (all Pinteraction < .05). CONCLUSION: Elevated simple and weighted MRSs were associated with increased risk of T2DM. Environmental risk factors may influence the association between MRS and T2DM.

Silk fibroin based flexible and self-powered sensor for real-time monitoring of abdominal respiration.

Personal health monitoring is very important for the health operation of special populations, like newborns and the old. But how to construct a sensor that can achieve real-time monitoring without the need for an external power supply still faces serious challenges. In this paper, a flexible, breathable and self-powered sensor based on triboelectric nanogenerators (TENG) was designed. Silk fibroin (SF) and poly (vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) fiber membranes were prepared by electro-spinning, and a u-shaped circuit was sprayed on one side of the fiber membrane as the electrode. Separating by an elastic silicone ring of the two fiber membranes, the all-fiber and self-powered sensor with a simple structure, good stability, and high output performance was developed. The as prepared sensor can instantly light up hundreds of LEDs by hand tapping. The sensor prepared in this work may have some potential applications in wearable devices and energy systems for real-time monitoring of abdominal breathing.

Berberine derivative DCZ0358 induce oxidative damage by ROS-mediated JNK signaling in DLBCL cells.

The most common neoplasm among adult lymphomas is diffuse large B-cell lymphoma (DLBCL), typically characterized by pain-free and progressive lymph node enlargement. Due to high heterogeneity of DLBCL, 30-40 % of patients are resistant to R-CHOP standard chemoimmunotherapy. DCZ0358 is a new compound designed and synthesized from berberine by our group and the molecular mechanism by which it inhibited DLBCL growth has attracted our widespread attention. In this study, we employed the CCK8 assay to reveal that DCZ0358 inhibited proliferation in a dependent manner of time and dosage of DLBCL cells. Moreover, flowcytometry and western blot results showed that DCZ0358 downregulated the expression of CDK4, CDK6 and CyclinD1 to block cell cycle progression in G0/G1 phase. Furthermore, DCZ0358 enhanced mitochondrial membrane potential depolarization, promoted mitochondrial permeability transport pore openness, increased cytoplastic Ca2+ levels and decreased intracellular adenosine triphosphate production, which led to mitochondrial dysfunction. In particular, DCZ0358 treatment triggered cell apoptosis and elevated intracellular reactive oxygen species (ROS) levels, which subsequently mediated JNK pathway activation. Further research indicated the pre-treatment with ROS scavenger N-acetylcysteine (NAC) and JNK inhibitor SP600125 could partially attenuate apoptosis and DNA damage triggered by DCZ0358. Most importantly, DCZ0358 exhibited synergistic anti-tumor effects when combined with etoposide, a common clinical anti-DLBCL drug, both in vitro and certainly in vivo. Above results demonstrated anti-tumor molecular mechanism of DCZ0358 in DLBCL cells and highlighted the ROS/JNK/DNA damage pathway as a potential target in therapies, which have implications for the development of more effective clinical treatments for DLBCL.

Long-Term Exposure to Traffic Noise and Risk of Incident Cardiovascular Diseases: a Systematic Review and Dose-Response Meta-Analysis.

While noise pollution from transportation has become an important public health problem, the relationships between different sources of traffic noise and cardiovascular diseases (CVDs) remain inconclusive. A comprehensive meta-analysis was therefore conducted to quantitatively assess the effects of long-term exposure to road traffic, railway, and aircraft noise on CVDs and relevant subtypes. We systematically retrieved PubMed, Embase, and Web of Science for articles published before April 4, 2022. Summary relative risks (RRs) and 95% confidence intervals (CIs) were estimated by the fixed- or random-effects models. In total, 23 articles were included in our meta-analysis. The risk of CVDs increased by 2% (RR 1.020, 95% CI 1.006-1.035) and 1.6% (RR 1.016, 95% CI 1.000-1.032) for every 10 dB increment of road traffic and aircraft noise. For CVD subtypes, the risk increased by 3.4% (1.034, 1.026-1.043) for stroke and 5% (1.050, 1.006-1.096) for heart failure with each 10 dB increment of road traffic noise; the risk of atrial fibrillation increased by 1.1% (1.011, 1.002-1.021) with each 10 dB increment of railway noise; and the risk increased by 1% (1.010, 1.003-1.017) for myocardial infarction, 2.7% (1.027, 1.004-1.050) for atrial fibrillation, and 2.3% (1.023, 1.016-1.030) for heart failure with each 10 dB increment in aircraft noise. Further, effects from road traffic, railway, and aircraft noise all followed positive linear trends with CVDs. Long-term exposure to traffic noise is positively related to the incidence risk of cardiovascular events, especially road traffic noise which significantly increases the risk of CVDs, stroke, and heart failure.

A reinforcement learning method for optimal control of oil well production using cropped well group samples.

The influence of geological development factors such as reservoir heterogeneity needs to be comprehensively considered in the determination of oil well production control strategy. In the past, many optimization algorithms are introduced and coupled with numerical simulation for well control problems. However, these methods require a large number of simulations, and the experience of these simulations is not preserved by the algorithm. For each new reservoir, the optimization algorithm needs to start over again. To address the above problems, two reinforcement learning methods are introduced in this research. A personalized Deep Q-Network (DQN) algorithm and a personalized Soft Actor-Critic (SAC)algorithm are designed for optimal control determination of oil wells. The inputs of the algorithms are matrix of reservoir properties, including reservoir saturation, permeability, etc., which can be treated as images. The output is the oil well production strategy. A series of samples are cut from two different reservoirs to form a dataset. Each sample is a square area that takes an oil well at the center, with different permeability and saturation distribution, and different oil-water well patterns. Moreover, all samples are expanded by using image enhancement technology to further increase the number of samples and improve the coverage of the samples to the reservoir conditions. During the training process, two training strategies are investigated for each personalized algorithm. The second strategy uses 4 times more samples than the first strategy. At last, a new set of samples is designed to verify the model's accuracy and generalization ability. Results show that both the trained DQN and SAC models can learn and store historical experience, and push appropriate control strategies based on reservoir characteristics of new oil wells. The agreement between the optimal control strategy obtained by both algorithms and the global optimal strategy obtained by the exhaustive method is more than 95%. The personalized SAC algorithm shows better performance compared to the personalized DQN algorithm. Compared to the traditional Particle Swarm Optimization (PSO), the personalized models were faster and better at capturing complex patterns and adapting to different geological conditions, making them effective for real-time decision-making and optimizing oil well production strategies. Since a large amount of historical experience has been learned and stored in the algorithm, the proposed method requires only 1 simulation for a new oil well control optimization problem, which showing the superiority in computational efficiency.

Human Aha1's N-terminal extension confers it holdase activity in vitro.

Molecular chaperones are key components of protein quality control system, which plays an essential role in controlling protein homeostasis. Aha1 has been identified as a co-chaperone of Hsp90 known to strongly accelerate Hsp90's ATPase activity. Meanwhile, it is reported that Aha1 could also act as an autonomous chaperone and protect stressed or disordered proteins from aggregation. Here, in this article, a series of in vitro experiments were conducted to verify whether Aha1 has a non-Hsp90-dependent holdase activity and to elucidate the associated molecular mechanism for substrate recognition. According to the results of the refolding assay, the highly conserved N-terminal extension spanning M1 to R16 in Aha1 from higher eukaryotes is responsible for the holdase activity of the protein. As revealed by the NMR data, Aha1's N-terminal extension mainly adopts a disordered conformation in solution and shows no tight contacts with the core structure of Aha1's N-terminal domain. Based on the intrinsically disordered structure feature and the primary sequence of Aha1's N-terminal extension, the fuzzy-type protein-protein interactions involving this specific region and the unfolded substrate proteins are expected. The following mutation analysis data demonstrated that the Van der Waals contacts potentially involving two tryptophans including W4 and W11 do not play a dominant role in the interaction between Aha1 and unfolded maltose binding protein (MBP). Meanwhile, since the high concentration of NaCl could abolish the holdase activity of Aha1, the electrostatic interactions mediated by those charged residues in Aha1's N-terminal extension are thus indicated to play a crucial role in the substrate recognition.

Correlation of heavy metals' exposure with the prevalence of coronary heart disease among US adults: findings of the US NHANES from 2003 to 2018.

We sought to explore the association between heavy metal exposure and coronary heart disease (CHD) based on data from the US National Health and Nutrition Examination Survey (NHANES, 2003-2018). In the analyses, participants were all aged > 20 and had participated in heavy metal sub-tests with valid CHD status. The Mann-Kendall test was employed to assess the trends in heavy metals' exposure and the trends in CHD prevalence over 16 years. Spearman's rank correlation coefficient and a logistics regression (LR) model were used to estimate the association between heavy metals and CHD prevalence. 42,749 participants were included in our analyses, 1802 of whom had a CHD diagnosis. Total arsenic, dimethylarsonic acid, monomethylarsonic acid, barium, cadmium, lead, and antimony in urine, and cadmium, lead, and total mercury in blood all showed a substantial decreasing exposure level tendency over the 16 years (all Pfor trend < 0.05). CHD prevalence varied from 3.53 to 5.23% between 2003 and 2018. The correlation between 15 heavy metals and CHD ranges from - 0.238 to 0.910. There was also a significant positive correlation between total arsenic, monomethylarsonic acid, and thallium in urine and CHD by data release cycles (all P < 0.05). The cesium in urine showed a negative correlation with CHD (P < 0.05). We found that exposure trends of total arsenic, dimethylarsonic acid, monomethylarsonic acid, barium, cadmium, lead, and antimony in urine and blood decreased. CHD prevalence fluctuated, however. Moreover, total arsenic, monomethylarsonic acid, and thallium in urine all showed positive relationships with CHD, while cesium in urine showed a negative relationship with CHD.

SESN1 is a FOXO3 effector that counteracts human skeletal muscle ageing.

Sarcopenia, a skeletal muscle disorder in which loss of muscle mass and function progresses with age, is associated with increased overall frailty, risk of falling and mortality in the elders. Here, we reveal that SESN1 safeguards skeletal muscle from ageing downstream of the longevity gene FOXO3, which we recently reported is a geroprotector in primate skeletal muscle. Knockdown of SESN1 mimicked the human myotube ageing phenotypes observed in the FOXO3-deficient human myotubes, whereas genetic activation of SESN1 alleviated human myotube senescence. Of note, SESN1 was identified as a protective secretory factor against muscle atrophy. Administration of recombinant SESN1 protein attenuated senescence of human myotubes in vitro and facilitated muscle regeneration in vivo. Altogether, we unveil a key role of SESN1 downstream of FOXO3 in protecting skeletal muscle from ageing, providing diagnostic biomarkers and intervention strategies for counteracting skeletal muscle ageing and related diseases.

Glutathione peroxidase 3 is a novel clinical diagnostic biomarker and potential therapeutic target for neutrophils in rheumatoid arthritis.

BACKGROUND: Neutrophils have a critical role in the pathogenesis of rheumatoid arthritis (RA) with immune system dysfunction. However, the molecular mechanisms of this process mediated by neutrophils still remain elusive. The purpose of the present study is to identify hub genes in neutrophils for diagnosis and treatment of RA utilizing publicly available datasets. METHODS: Gene expression profiles were downloaded from the Gene Expression Omnibus, and batch-corrected and normalized expression data were obtained using the ComBat package. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were used to conduct significantly functional analysis and crucial pathways. The resulting co-expression genes modules and hub genes were generated based on the weighted gene co-expression network analysis and visualization by Cytoscape. Flow cytometry was conducted to detect reactive oxygen species (ROS) levels in neutrophils. RESULTS: Neutrophils underwent transcriptional changes in synovial fluid (SF) of RA patients, different from peripheral blood of healthy controls or patients with RA. Especially, glycolysis, HIF-1 signaling, NADH metabolism, and oxidative stress were affected. These hub genes were strongly linked with classical glycolysis-related genes (ENO1, GAPDH, and PKM) responsible for ROS production. The antioxidant enzyme glutathione peroxidase 3 (GPX3), a ROS scavenger, was first identified as a hub gene in RA neutrophils. Neutrophils from patients with autoinflammatory and autoimmune diseases had markedly enhanced ROS levels, most notably in RA SF. CONCLUSION: This research recognized hub genes and explored the characteristics of neutrophils in RA. Our findings suggest that the novel hub gene GPX3 is involved in the neutrophil-driven oxidative stress-mediated pathogenesis of RA. It has the potency to be a target for neutrophil-directed RA therapy.

[Quality evaluation of Cnidii Fructus in commodity grade based on theory of "quality evaluation through morphological identification"].

From the perspective of market classification of Cnidii Fructus, this paper revealed the scientific connotation of evaluating the quality grade of Cnidii Fructus by its appearance traits. Thirty batches of Cnidii Fructus in different grades were selected as the research objects. The canonical correlation analysis and principal component analysis(PCA) were used to explore the measurement values of 15 appearance traits and intrinsic content indexes. The results of correlation analysis showed that except the aspect ratio, the 5 appearance trait indexes(length, width, 1 000-grain weight, broken grain weight proportion, and chroma) and 9 internal content indexes(the content of moisture, total ash, acid insoluble ash, osthole, imperatorin, 5-methoxy psoralen, isopimpinellin, xanthotoxin, and xanthotol) showed significant correlation to varying degrees. In addition, there was a significant positive correlation between the first typical variable U_1 composed of appearance traits and the first typical variable V_1 composed of internal content indexes(CR_1=0.963, P<0.01). The results of PCA showed that the classification results of appearance traits for 30 batches of Cnidii Fructus were consistent with the actual information of the samples. Under the same analysis conditions, 30 batches of Cnidii Fructus were reclassified by 9 groups of internal content indexes, and the analysis results were consistent. From the classification standard of the appearance traits of the system study, the statistical results of 6 appearance traits of Cnidii Fructus showed a correlation with grades. There was a good correlation between the appearance and the internal content of Cnidii Fructus, and the appearance quality effectively predicted the level of the internal content. There is a certain scientific basis for the quality classification of Cnidii Fructus by main appearance traits. Appearance classification can replace quality grading to realize the "quality evaluation through morphological identification" of Cnidii Fructus.

Dose-response meta-analysis of ultra-processed food with the risk of cardiovascular events and all-cause mortality: evidence from prospective cohort studies.

Background: Previous meta-analyses included abundant cross-sectional studies, and/or only assessed high versus low categories of UPF consumption. We conducted this meta-analysis based on prospective cohort studies to estimate the dose-response associations of UPF consumption with the risk of cardiovascular events (CVEs) and all-cause mortality among general adults. Methods: PubMed, Embase, and Web of Science were searched for relevant articles published up to August 17, 2021, and newly published articles between August 17, 2021 and July 21, 2022 were re-searched. Random-effects models were used to estimate the summary relative risks (RRs) and confidence intervals (CIs). Generalized least squares regression was used to estimate the linear dose-response associations of each additional serving of UPF. Restricted cubic splines were used to model the possible nonlinear trends. Results: Eleven eligible papers (17 analyses) were finally identified. The pooled effect size for the highest versus lowest category of UPF consumption showed positive associations with the risk of CVEs (RR = 1.35, 95% CI, 1.18-1.54) and all-cause mortality (RR = 1.21, 95% CI, 1.15-1.27). For each additional daily serving of UPF, the risk increased by 4% (RR = 1.04, 95% CI, 1.02-1.06) for CVEs and 2% (RR = 1.02, 95% CI, 1.01-1.03) for all-cause mortality. With increasing UPF intake, the risk of CVEs reflected a linear upward trend (Pnonlinearity = 0.095), while all-cause mortality reflected a nonlinear upward trend (Pnonlinearity = 0.039). Conclusion: Our findings based on prospective cohorts suggested that any increased level of UPF consumption was linked to higher CVEs and mortality risk. Thus, the recommendation is to control the intake of UPF in daily diet.

Effective perspiration is essential to uphold the stability of zero-gap MEA-based cathodes used in CO2 electrolysers.

The application of gas diffusion electrodes (GDEs) for the electrochemical reduction of CO2 to value-added products creates the possibility of achieving current densities of a few hundred mA cm-2. To achieve stable operation at such high reaction rates remains, however, a challenging task, due to the flooding of the GDE. In order to mitigate flooding in a zero-gap membrane-electrode assembly (MEA) configuration, paths for effective electrolyte perspiration inside the GDE structure have to be kept open during the electrolysis process. Here we demonstrate that apart from the operational parameters of the electrolysis and the structural properties of the supporting gas diffusion layers, also the chemical composition of the applied catalyst inks can play a decisive role in the electrolyte management of GDEs used for CO2 electroreduction. In particular, the presence of excess amounts of polymeric capping agents (used to stabilize the catalyst nanoparticles) can lead to a blockage of micropores, which hinders perspiration and initiates the flooding of the microporous layer. Here we use a novel ICP-MS analysis-based approach to quantitatively monitor the amount of perspired electrolyte that exits a GDE-based CO2 electrolyser, and we show a direct correlation between the break-down of effective perspiration and the appearance of flooding-the latter ultimately leading to a loss of electrolyser stability. We recommend the use of an ultracentrifugation-based approach by which catalyst inks containing no excess amount of polymeric capping agents can be formulated. Using these inks, the stability of electrolyses can be ensured for much longer times.

Alcohol Consumption and Risk of Fractures: A Systematic Review and Dose-Response Meta-Analysis of Prospective Cohort Studies.

Alcohol consumption remains inconsistently correlated with fracture risk, and a dose-response meta-analysis for specific outcomes is lacking. The objective of this study was to quantitatively integrate the data on the relationship between alcohol consumption and fracture risk. Pertinent articles were identified in PubMed, Web of Science, and Embase databases up to 20 February 2022. Combined RRs and 95% CIs were estimated by random- or fixed-effects models. Restricted cubic splines were used to model linear or nonlinear relationships. Forty-four articles covering 6,069,770 participants and 205,284 cases of fracture were included. The combined RRs and 95% CIs for highest compared with lowest alcohol consumption were 1.26 (1.17-1.37), 1.24 (1.13-1.35), and 1.20 (1.03-1.40) for total, osteoporotic, and hip fractures, respectively. A linear positive relationship between alcohol consumption and total fracture risk was detected (Pnonlinearity = 0.057); the risk was correlated with a 6% increase (RR, 1.06; 95% CI: 1.02, 1.10) per 14 g/d increment of alcohol consumption. J-shaped relationships of alcohol consumption with risk of osteoporotic fractures (Pnonlinearity < 0.001) and hip fractures (Pnonlinearity < 0.001) were found. Alcohol consumption of 0 to 22 g/d was linked to a reduced risk of osteoporotic fractures and hip fractures. Our findings show that any level of alcohol consumption is a risk factor for total fractures. Moreover, this dose-response meta-analysis shows that an alcohol consumption level of 0 to 22 g/d is related to a reduction in the risk of osteoporotic and hip fractures. The protocol was registered in the International Prospective Register of Systematic Reviews (CRD42022320623).

Single-nucleus profiling unveils a geroprotective role of the FOXO3 in primate skeletal muscle aging.

Age-dependent loss of skeletal muscle mass and function is a feature of sarcopenia, and increases the risk of many aging-related metabolic diseases. Here, we report phenotypic and single-nucleus transcriptomic analyses of non-human primate skeletal muscle aging. A higher transcriptional fluctuation was observed in myonuclei relative to other interstitial cell types, indicating a higher susceptibility of skeletal muscle fiber to aging. We found a downregulation of FOXO3 in aged primate skeletal muscle, and identified FOXO3 as a hub transcription factor maintaining skeletal muscle homeostasis. Through the establishment of a complementary experimental pipeline based on a human pluripotent stem cell-derived myotube model, we revealed that silence of FOXO3 accelerates human myotube senescence, whereas genetic activation of endogenous FOXO3 alleviates human myotube aging. Altogether, based on a combination of monkey skeletal muscle and human myotube aging research models, we unraveled the pivotal role of the FOXO3 in safeguarding primate skeletal muscle from aging, providing a comprehensive resource for the development of clinical diagnosis and targeted therapeutic interventions against human skeletal muscle aging and the onset of sarcopenia along with aging-related disorders.

Consumption of whole grains and refined grains and associated risk of cardiovascular disease events and all-cause mortality: a systematic review and dose-response meta-analysis of prospective cohort studies.

BACKGROUND: Although relationships between the intake of whole grains and refined grains and the incidence of cardiovascular disease (CVD) events and all-cause mortality have been investigated, the conclusions have been inconclusive. OBJECTIVES: We aimed to comprehensively summarize the evidence about the correlation between consuming whole grains and refined grains and risks of CVD events and all-cause mortality and to evaluate the meta-evidence quality. METHODS: We searched PubMed, Embase, and Web of Science until 15 March, 2022. Random-effects models were employed to calculate summary relative risks (RRs) and 95% confidence intervals (CIs). We explored potential linear or nonlinear relationships using restricted cubic splines. The NutriGrade tool was employed to rate meta-evidence quality. RESULTS: Twenty-four articles (68 studies; 46 for whole grains and 22 for refined grains) with 1,624,407 participants were included. Per 30-g increase in daily whole grain consumption, the RRs and 95% CIs of stroke, coronary heart disease (CHD), heart failure (HF), CVD, and all-cause mortality were 0.98 (0.96, 1.00), 0.94 (0.92, 0.97), 0.97 (0.89, 1.07), 0.92 (0.88, 0.96), and 0.94 (0.92, 0.97), respectively. Whole grain consumption was linearly associated with CHD (Pnonlinearity = 0.231) and nonlinearly associated with CVD (Pnonlinearity = 0.002) and all-cause mortality (Pnonlinearity = 0.001). Except for a positive correlation between refined grain consumption and all-cause mortality in the restricted cubic spline, no significant influence of refined grain intake on stroke, CHD, HF, and CVD was detected. The meta-evidence quality for the association of whole grain consumption with stroke, CHD, HF, CVD, and all-cause mortality was moderate, moderate, low, high, and high, respectively. For refined grains, all meta-evidence was of low quality. CONCLUSIONS: Consuming whole grains, rather than refined grains, can assist in preventing CHD, CVD, and all-cause mortality. Relationships between consumption of refined grains and health outcomes should be interpreted cautiously because of the low quality of meta-evidence.

Independent and interactive effect of sedentary time and physical activity on risk of all-cause mortality: A prospective cohort study.

OBJECTIVES: Sedentary behavior (SB) and physical inactivity have been associated with an increased risk of all-cause mortality. Evidence in China is scarce, and it is unclear whether physical activity (PA) attenuates or even eliminates the harmful effects of prolonged SB in the Chinese population. METHODS: We conducted a prospective cohort study of 17 084 Chinese adults. PA and sitting time (ST) were assessed using the IPAQ. Cox proportional hazards models were used to estimate the risk of PA and ST with all-cause mortality. Interaction plots were used to visualize the interaction effects. RESULTS: During a median follow-up of 6.01 years, a total of 1106 deaths occurred. PA level was inversely associated with the incidence of all-cause mortality, while ST showed a detrimental association (all ptrend < 0.05). In the stratified analysis, ST was associated with all-cause mortality in the low PA, while the association was attenuated in the moderate PA group: the HRs (95% CI) comparing ST of 4-8, 8-11, and ≥11 to <4 h/day were 1.15 (0.73-1.81), 1.55 (0.92-2.59), and 2.70 (1.52-4.80), respectively. In the high PA group, no significant association was found across all ST levels. In the joint analysis, compared with the high PA and ST <4 h/day, the harmful effect was found only in the combined low PA and moderate PA groups with ST ≥11 h/day (HR:2.71, 95% CI:1.69-4.35). In addition, a significant interaction association was found. CONCLUSION: Our study, based on a prospective cohort, suggests that the detrimental effect of ST on all-cause mortality is attenuated or eliminated by high PA levels in the Chinese population.