Identifying Predictors of Smoking Switching Behaviours Among Adult Smokers in the United States: A Machine Learning Approach.

Completely abstaining from cigarette smoking or fully switching to e-cigarette (EC) use may be beneficial for reducing the global burden of smoking-related diseases. This study aimed to identify and compare the top 10 prospective predictors of smokers switching away from smoking in the United States. Data from adult exclusive cigarette smokers at Wave 4 of the Population Assessment of Tobacco and Health (PATH) study, who were followed up at Wave 6, were analysed. An Xgboost-based machine learning (ML) approach with a nested cross-validation scheme was utilised to develop a multiclass predictive model to classify smokers' behavioural changes from W4 to W6, including smoking cessation, full and partial switching to EC, and cigarette non-switching. The SHapley Additive exPlanations (SHAP) algorithm was deployed to interpret the top 10 predictors of each switching behaviour. A total of 396 variables were selected to generate the four-class prediction model, which demonstrated a micro- and macro-average area under the receiver operating characteristics curve (ROC-AUC) of 0.91 and 0.81, respectively. The top three predictors of smoking cessation were prior regular EC use, age, and household rules about non-combusted tobacco. For full switching to EC use, the leading predictors were age, type of living space, and frequency of social media visits. For partial switching to EC use, the key predictors were daily cigarette consumption, the time from waking up to smoking the first cigarette, and living with tobacco users. ML is a promising technique for providing comprehensive insights into predicting smokers' behavioural changes. Public health interventions aimed at helping adults switch away from smoking should consider the predictors identified in this study.

A reliable strategy for establishment of an animal model of diabetic cardiomyopathy: Induction by a high-fat diet combined with single or multiple injections of low-dose streptozotocin.

BACKGROUND: Diabetic cardiomyopathy (DCM) is one of the leading causes of death in patients with diabetes mellitus (DM). This study aimed to identify a reliable method for establishing an animal model of DCM for investigation of new targets and treatments. METHODS: Eighty-four 4-week-old male Sprague-Dawley rats were randomly allocated to receive a normal diet or a high-fat diet (HFD) in an approximate ratio of 1:3. At 9 weeks of age, rats in the HFD group received streptozotocin (STZ) 30 mg/kg by intraperitoneal injection and rats in the control group received the same volume of buffer solution. The rodent model of DM was deemed to be successfully established when a random blood glucose measurement was >16.7 mmol/L on three consecutive occasions. If necessary, STZ was readministered. RESULTS: Three of the 64 rats in the HFD group died after a second STZ injection. DM was induced in 14, 39, and 8 rats after one, two, and three injections, respectively, with cumulative success rates of 21.9 %, 82.8 %, and 95.3 %. Three months later, the rats with DM showed persistent hyperglycemia and insulin resistance and developed histopathological changes indicating cardiac hypertrophy, myocardial fibrosis, and diastolic dysfunction. The metabolic and cardiac histopathological changes were consistent regardless of whether DM was induced by one, two, or three injections of STZ. CONCLUSION: An HFD combined with one or more intraperitoneal injections of low-dose STZ is a straightforward and reliable method for inducing DCM in rats. When a single dose of STZ fails to induce DM, repeated injections can be considered.

Caffeine intake from foods and beverages and trends among Chinese children and adolescents: 2004-2018.

BACKGROUND: The popularity of caffeinated foods and beverages poses risks of high caffeine exposure among Chinese children and adolescents. Nevertheless, there is a lack of national assessments on their caffeine consumption. OBJECTIVE: To estimate daily caffeine intake and analyze time trends among Chinese children and adolescents. METHODS: The study subjects were participants of the China Health and Nutrition Survey in 2004, 2006, 2009 and 2011, and the National Food and Beverage Consumption Survey in 2014 and 2018. Caffeine content was determined using chromatographic instrument. The Monte Carlo simulation was utilized to estimate daily caffeine intake and the Kruskal-Wallis test was used to analyze differences between population characteristics. To examine yearly trends in caffeine intake from 2004 to 2018, the partial Mann-Kendall test was applied. RESULTS: The median daily caffeine intake of Chinese children and adolescents was 0.17 (95%CI: 0.15-0.20) mg/kg BW/day. Main contributors were tea (55.52%), sodas (19.52%) and tea beverages (10.37%). Approximately 4.68% of individuals consumed caffeine exceeding 2.5 mg/kg BW/day. Higher caffeine intake was observed in adolescents aged 12-17 years, males, and consumers residing in northeastern China. While no significant overall yearly trends in caffeine intake were detected from 2004 to 2018, there was an increase in intake driven by beverage consumption between 2006 and 2014. CONCLUSION: This study provided a national assessment of caffeine consumption among Chinese children and adolescents. Caffeinated beverages like tea, soda, and tea beverages emerged as major contributors to caffeine intake. These findings could contribute to the regulation of caffeine consumption and the promotion of healthy habits among children and adolescents.

Microglia overexpressing brain-derived neurotrophic factor promote vascular repair and functional recovery in mice after spinal cord injury.

ABSTRACT: Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited. Microglia is the resident immune cells of the central nervous system, play a critical role in spinal cord injury. Previous studies have shown that microglia can promote neuronal survival by phagocytosing dead cells and debris and by releasing neuroprotective and anti-inflammatory factors. However, excessive activation of microglia can lead to persistent inflammation and contribute to the formation of glial scars, which hinder axonal regeneration. Despite this, the precise role and mechanisms of microglia during the acute phase of spinal cord injury remain controversial and poorly understood. To elucidate the role of microglia in spinal cord injury, we employed the colony-stimulating factor 1 receptor inhibitor PLX5622 to deplete microglia. We observed that sustained depletion of microglia resulted in an expansion of the lesion area, downregulation of brain-derived neurotrophic factor, and impaired functional recovery after spinal cord injury. Next, we generated a transgenic mouse line with conditional overexpression of brain-derived neurotrophic factor specifically in microglia. We found that brain-derived neurotrophic factor overexpression in microglia increased angiogenesis and blood flow following spinal cord injury and facilitated the recovery of hindlimb motor function. Additionally, brain-derived neurotrophic factor overexpression in microglia reduced inflammation and neuronal apoptosis during the acute phase of spinal cord injury. Furthermore, through using specific transgenic mouse lines, TMEM119, and the colony-stimulating factor 1 receptor inhibitor PLX73086, we demonstrated that the neuroprotective effects were predominantly due to brain-derived neurotrophic factor overexpression in microglia rather than macrophages. In conclusion, our findings suggest the critical role of microglia in the formation of protective glial scars. Depleting microglia is detrimental to recovery of spinal cord injury, whereas targeting brain-derived neurotrophic factor overexpression in microglia represents a promising and novel therapeutic strategy to enhance motor function recovery in patients with spinal cord injury.

Nitrogen-doped graphene quantum dot-intensified tungsten oxide nanosheets as a SERS substrate for antibiotics detection.

In this study, tungsten oxide nanosheets loaded with nitrogen-doped graphene oxide quantum dots (NGQDs/WO3 NSs) were fabricated as SERS substrates. The promoted photo-induced charge transfer (PICT) and the strong π-π stacking effect resulting from the unique structure of the NGQDs contributed to the enhanced SERS signal.

Occurrences, source apportionment, and potential risks of 55 progestins in surface water of the Yellow River Delta, China.

Progestins (PGs) are a group of emerging contaminants with endocrine disrupting effects. Despite their large amounts of use and excretion, investigations have been limited to several compounds in the aqueous phase, and the occurrences and distribution of numerous PGs in different matrices remain unclear. In this study, water, suspended particulate matter and sediment samples from rivers in the Yellow River Delta (YRD), China were investigated over two seasons to elucidate the occurrences, sources, and ecological risks of 55 natural and synthetic PGs. 40 PGs were detected with concentrations varied from not detected (ND) to 146 ng/L in water, ND to 251 ng/g dry weight (dw) in SPM, and ND-173 ng/g dw in sediment. The less-studied natural metabolites were the predominant PGs in all samples. 54-96 % of the PGs were concentrated in the aqueous phase, and SPM was also an important carrier, especially for hydrophobic compounds. Anthropogenic activities and environmental conditions together affected the spatiotemporal distribution of PGs. Animal sources, including aquaculture and animal husbandry, contributed most (42.3 %) to the total PGs, followed by treated sewage (32.9 %) and industrial sources (24.7 %). The risk assessment suggested that PGs posed moderate to high risks to aquatic organisms, especially the fish.

Inhibition of the AP-1/TFPI2 axis contributes to alleviating cerebral ischemia/reperfusion injury by improving blood-brain barrier integrity.

Reperfusion after cerebral ischemia leads to secondary damage to the nervous system, called cerebral ischemia/reperfusion injury (CIRI). The blood-brain barrier (BBB) consists of endothelial cells and tight junction (TJ) proteins, and its disruption aggravates CIRI. Two GSE datasets identified Tissue Factor Pathway Inhibitor 2 (TFPI2) as a differentially upregulated gene (Log2FC > 1, p < 0.01) in the cerebral cortex of ischemic rats, and TFPI2 affects angiogenesis of endothelial cells. Moreover, genes (c-Jun, c-Fos, FosL1) encoding subunits of Activator Protein-1 (AP-1), a transcription factor involved in IRI, were highly expressed in ischemic samples. Thus, the effects of the AP-1/TFPI2 axis on CIRI were explored. We determined increased TFPI2 expression in the cerebral cortex of rats receiving middle cerebral artery occlusion (MCAO) for 90 min and reperfusion (R) for 48 h. Then AAV2-shTFPI2 particles (5 × 1010 vg) were injected into the right lateral ventricle of rats 3 weeks before MCAO/R. TFPI2 knockdown decreased infarct size and neuronal injury in ischemic rats. It improved BBB integrity, demonstrated by reduced FITC-dextran leakage in brain tissues of MCAO/R-operated rats. Furthermore, it increased the expression of TJ proteins (Occludin, Claudin-5, TJP-1) in the cerebral cortex of rats with CIRI. Consistently, we found that TFPI2 knockdown mitigated cell damage in mouse endothelial bEND.3 cells with oxygen and glucose deprivation (ODG) for 6 h and reoxygenation (R) for 18 h (OGD/R) treatment. High co-expression of c-Jun and c-Fos significantly elevated TFPI2 promoter activity. c-Jun knockdown inhibited TFPI2 expression in OGD/R-treated bEND.3 cell. Collectively, our findings demonstrate that inhibition of the AP-1/TFPI2 axis alleviates CIRI.

A 1024-Channel Simultaneous Electrophysiological and Electrochemical Neural Recording System with In-Pixel Digitization and Crosstalk Compensation.

Simultaneous electrophysiological and chemical recording allows for multi-modal neural instrumentation and provides insights into chemical synapses and ion channels across the cell membrane. However, intermodal interference can hinder highly synchronized recording in large-scale systems with high temporal and spatial resolution. In this work, we propose a 1024-channel lab-on-CMOS system for dual-modal neural recording with in-pixel digitization and interference suppression. A foreground calibration scheme with tunable capacitance is implemented in-pixel to compensate for the crosstalk between electrical and chemical recording. Active pixels for both electrical and chemical modalities are designed based on a pulse width modulation (PWM) analog-to-digital conversion scheme. CMOS-compatible post-processing is implemented to realize in-pixel electrodes and chemical sensing membranes. The prototype, implemented in a 180nm CMOS technology, occupies a total area of 33mm2 with 1024 pixels, and each unit pixel includes one electrical recording site and two chemical recording sites, with dimensions of 150µm×130 µm. The total system power consumption is 19.68mW at a frame rate of 9k and 3k for electrical and chemical imaging respectively. The in-vitro experiment demonstrated the concurrent high density electrophysilogical and electrochemical recording with sub millisecond temporal resolution.

Non-equilibrium pathways to emergent polar supertextures.

Ultrafast stimuli can stabilize metastable states of matter inaccessible by equilibrium means. Establishing the spatiotemporal link between ultrafast excitation and metastability is crucial to understand these phenomena. Here we utilize single-shot optical pump-X-ray probe measurements to capture snapshots of the emergence of a persistent polar vortex supercrystal in a heterostructure that hosts a fine balance between built-in electrostatic and elastic frustrations by design. By perturbing this balance with photoinduced charges, an initially heterogeneous mixture of polar phase disorders within a few picoseconds, leading to a state composed of disordered ferroelectric and suppressed vortex orders. On the picosecond-nanosecond timescales, transient labyrinthine fluctuations develop, accompanied by the recovery of the vortex order. On longer timescales, these fluctuations are progressively quenched by dynamical strain modulations, which drive the collective emergence of a single vortex supercrystal phase. Our results, corroborated by dynamical phase-field modelling, reveal non-equilibrium pathways following the ultrafast excitation of designer systems to persistent metastability.

DOCTer: a novel EEG-based diagnosis framework for disorders of consciousness.

Objective. Accurately diagnosing patients with disorders of consciousness (DOC) is challenging and prone to errors. Recent studies have demonstrated that EEG (electroencephalography), a non-invasive technique of recording the spontaneous electrical activity of brains, offers valuable insights for DOC diagnosis. However, some challenges remain: (1) the EEG signals have not been fully used; and (2) the data scale in most existing studies is limited. In this study, our goal is to differentiate between minimally conscious state (MCS) and unresponsive wakefulness syndrome (UWS) using resting-state EEG signals, by proposing a new deep learning framework.Approach. We propose DOCTer, an end-to-end framework for DOC diagnosis based on EEG. It extracts multiple pertinent features from the raw EEG signals, including time-frequency features and microstates. Meanwhile, it takes clinical characteristics of patients into account, and then combines all the features together for the diagnosis. To evaluate its effectiveness, we collect a large-scale dataset containing 409 resting-state EEG recordings from 128 UWS and 187 MCS cases.Main results. Evaluated on our dataset, DOCTer achieves the state-of-the-art performance, compared to other methods. The temporal/spectral features contributes the most to the diagnosis task. The cerebral integrity is important for detecting the consciousness level. Meanwhile, we investigate the influence of different EEG collection duration and number of channels, in order to help make the appropriate choices for clinics.Significance. The DOCTer framework significantly improves the accuracy of DOC diagnosis, helpful for developing appropriate treatment programs. Findings derived from the large-scale dataset provide valuable insights for clinics.

On-site SERS analysis and intelligent multi-identification of fentanyl class substances by deep machine learning.

As the types of fentanyl class substances continue to grow, a universal SERS sensor is essential for the application of discriminant detection of fentanyl substances. A new nanomaterial SERS sensor-Ag@Au NPs-paper was developed. The SERS sensitivity and stability of Ag@Au NPs-paper were investigated by using R6G molecule, and the results showed that Ag@Au NPs-paper has excellent performance. In combination with visual analysis and machine learning methods, Ag@Au NPs-paper has been successfully applied to the analysis of fentanyl class substances and the component identification of binary fentanyl mixtures, and thus it can be effectively used in food safety, environmental toxicants and other fields.

Characterization of Food-Additive Titanium Dioxide and Dietary Exposure to Titanium Dioxide Nanoparticles among the Chinese Population.

Titanium dioxide (TiO2) is a prevalent food additive, yet comprehensive data on particle size and dietary exposure are lacking in China. Transmission electron microscopy results revealed that the quantitative proportion of nanoparticles (NPs) in food-additive TiO2 was 37.7%, with a mass fraction of 9.89%. Laboratory test results showed that among the domestic products surveyed, candies excluding gum-based candies contained the highest content of TiO2. Using consumption data from the China Health and Nutrition Survey in 2018, the average dietary exposure for TiO2 and TiO2 NPs in the Chinese population were calculated at 34.84 and 3.44 µg/kg bw/day, respectively. The primary dietary sources were puffed food and powdered drinks. Exposure varied significantly across age and region, with children and Inner Mongolia residents having the highest intake. TiO2 NP exposure showed a negative correlation with age. Despite this, the dietary exposure risk of TiO2 NPs for the Chinese population remains deemed acceptable.

Association of Vitamin E Intake with All-Cause Mortality Among Individuals with Rheumatoid Arthritis: A Cohort Study from the NHANES 1999-2018.

BACKGROUND: The relationship between dietary vitamin E intake and mortality rates among rheumatoid arthritis (RA) patients remains a relatively uncharted territory in nutritional epidemiology, underscoring an important gap in research. OBJECTIVES: This study is to explore the potential association between dietary vitamin E intake and all-cause mortality in the RA patient population. METHODS: This longitudinal cohort study analyzed 2,906 RA patients aged 20 years or older who participated in the National Health and Nutrition Examination Survey from 1999 to 2018. Comprehensive data on mortality, dietary vitamin E intake, and pertinent confounding variables were systematically collected and analyzed using Cox regression and spline curve fitting to analyze the potential association. RESULTS: Following the adjustment for confounding factors, a significant inverse relationship was identified between dietary vitamin E intake and the risk of all-cause mortality in patients with RA. The adjusted hazard ratios (HRs) for the second (Q2), third (Q3), and fourth (Q4) quartiles of vitamin E intake were 0.85, 0.60, and 0.68, respectively. Non-linear modeling indicated a threshold effect characterized by a curve that associated dietary vitamin E intake with mortality risk (p = 0.016). An intake threshold of 7.097 mg/day was identified, below which each unit increment in vitamin E intake was associated with a 11.1% decrease in all-cause mortality risk (HR = 0.889). Conversely, for intakes surpassing this threshold, no significant relationship with mortality risk was detected (HR = 1.0038). CONCLUSION: The findings of this study indicate a beneficial relationship between elevated dietary vitamin E intake and a reduced risk of all-cause mortality in RA patients. The dose-response relationship exhibits a non-linear pattern, featuring a critical inflection point at an intake of approximately 7.097 mg/day.

Effect of Shi-Style Steaming and Bathing Decoction in Patients with Knee Osteoarthritis: Study Protocol for a Randomized Placebo-Controlled Trial.

Purpose: To prove more accurately that Chinese herbal bath therapy may be a safe, effective, simple alternative treatment modality for knee OA, we designed a randomized, double-blind, placebo-controlled trial to explore the effectiveness of SSBD for the relief of pain, daily activities, and quality of life in patients with knee OA. Patients and Methods: A single-center, 52-week, randomized controlled trial of SSBD versus placebo is being performed. A total of 200 patients with symptomatic knee OA will be randomly allocated to the SSBD treatment or placebo intervention group for 4 weeks. The two groups of patients are allowed to steam and bathe their knees once every other day, using one packet of SSBD each time, for 30 minutes, 3 times a week, for a total of 4 weeks. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscale at 4 weeks is the primary outcome measure, and the secondary outcomes include WOMAC stiffness and function scores, the Lysholm knee scale score, quality of life, the Brief Pain Inventory score, the Patient's Global Impressions of Improvement Scale score and the Clinical Global Impressions of Severity scale score. The safety of the herbal medications will also be evaluated. Conclusion: We will discuss whether SSBD has greater advantages in terms of efficacy, safety, and patient overall perception than does placebo control in middle-aged and elderly patients with knee OA. The findings may provide new and valuable information about the efficacy and safety of Chinese herbal bath therapy in the treatment of knee osteoarthritis.

Thrombectomy Alone or Alongside Intravenous Thrombolysis in Managing Acute Ischemic Stroke Caused by Basilar Artery Occlusion: A Multicenter Observational Study.

BACKGROUND AND PURPOSE: It remains unclear whether the combination of endovascular treatment (EVT) with intravenous thrombolysis (IVT) results in a more favorable functional outcome than EVT alone in managing cases of acute ischemic stroke (AIS) caused by basilar artery occlusion (BAO). Thus, this study aimed to compare the outcomes of two approaches-direct EVT (DEVT) and bridging therapy (IVT plus EVT)-in acute BAO patients presenting within 4.5 hours of stroke onset. MATERIALS AND METHODS: This multicenter retrospective cohort study included 153 acute BAO patients presenting within 4.5 hours of stroke onset. Of these patients, 65 (42.5%) and 88 (57.5%) underwent DEVT and bridging therapy, respectively. The primary outcome was defined as good functional outcome (modified Rankin Scale, 0-3) at 90 days. Additionally, pre-operative clinical features, thrombectomy attempts, successful reperfusion rates, incidences of symptomatic intracranial hemorrhage (sICH), and mortality were compared between the two groups. RESULTS: At 90 days, the rate of good functional outcome was comparable between the DEVT (44.6%) and bridging-therapy (39.8%) groups (adjusted odds ratio [aOR], 1.12; 95% confidence interval [CI], 0.55-2.31; p = 0.753). The bridging-therapy group exhibited a lower percentage of patients requiring ≥ 3 attempts of stent retrieval (aOR, 0.39; 95% CI, 0.16-0.93; p = 0.034). Pre-operative clinical features, rate of successful reperfusion, sICH, and mortality were similar between the two groups. CONCLUSIONS: In patients with BAO-induced AIS, DEVT demonstrates a comparable functional outcome to bridging therapy within 4.5 hours of symptom onset, but IVT reduces the number of thrombectomy attempts. ABBREVIATIONS: AIS, acute ischemic stroke; LVO, large-vessel occlusion; EVT, endovascular treatment; IVT, intravenous thrombolysis; BAO, basilar artery occlusion; DEVT, direct endovascular treatment; sICH, symptomatic intracranial hemorrhage; RCT, randomized controlled trial; IRIS, Improving Reperfusion Strategies in Ischemic Stroke; TOAST, Trial of ORG 10172 in Acute Stroke Treatment; mTICI, modified thrombolysis in cerebral infarction; SD, standard deviation; IQR, interquartile range; ICAS, intracranial atherosclerotic stenosis.

Perfusion deficit and vessel wall characteristics to predict recurrent ischemic events in medically treated patients with chronic symptomatic anterior circulation large vessel occlusion.

BACKGROUND: To investigate the association between perfusion deficit, vessel wall characteristics, and risk of recurrent ischemic events in medically treated patients with chronic symptomatic anterior circulation large vessel occlusion. METHODS: We retrospectively reviewed chronic symptomatic patients due to anterior circulation large vessel occlusion in our center. All patients received multiparametric magnetic resonance imaging (including perfusion-weighted imaging and high-resolution vessel wall imaging) within 4 weeks to 3 months after symptom onset. The association between baseline clinical or imaging variables and recurrent ischemic events was assessed in bivariate models and multivariable logistic regression to identify independent predictors of recurrence. RESULTS: Among 71 enrolled patients, 21.1% (15/71) patients had recurrent ischemic events (nine ischemic strokes and six transient ischemic attacks) during a 2-year follow-up. In bivariate models, hypertension, occlusion with hyperintense signals, the presence of intraluminal thrombus, Tmax >4 s volume, Tmax >6 s volume, Tmax >8 s volume, and Tmax >10 s volume were associated with recurrence (all p < 0.05). In multivariate analysis, hypertension (p = 0.039, OR 10.057 (95% CI, 1.123-90.048)), higher deficit volume of Tmax >4 s (p = 0.011, OR 1.012 (95% CI, 1.003-1.021)) and occlusion with hyperintense signal (p = 0.030, OR 6.732 (95% CI, 1.200-37.772)) were still independent predictors of recurrent ischemic events. CONCLUSIONS: Besides hypertension history, higher deficit volume of Tmax >4 s and occlusion with hyperintense signal determined using multiparametric MRI are strongly associated with risk for recurrent ischemic events in medically treated patients with chronic symptomatic anterior circulation large vessel occlusion. Future studies are needed to determine the utility of revascularization strategies in such high-risk patients.

Path planning optimization for swine manure-cleaning robots through enhanced slime mold algorithm with cellular automata.

One of the primary challenges for robotic manure cleaners in pig farming is to plan the shortest path to designated cleaning points under specified conditions with minimal processing cost and time, while avoiding collisions. However, pigs are randomly distributed in actual pig farms, which obstructs the robots' movement and complicates the rapid determination of optimal solutions. To address these issues, this study introduces the concept of interaction among cellular automaton cell neighborhoods and proposes the Cellular Automata Slime Mold Algorithm (CASMA). This enhanced slime mold algorithm accelerates convergence speed and improves search accuracy. To validate its effectiveness, CASMA was compared with four metaheuristic algorithms (ACO, FA, PSO, and WPA) through performance tests and simulated experiments. Results demonstrate that in complex pigsty environments with varying numbers of pigs, CASMA reduces average step consumption by 8.03%, 1.61%, 0.99%, and 4.26% compared with these algorithms and saves processing time by averages of 13.20%, 20.11%, 10.86%, and 6.4%, respectively. In addition, in dynamic obstacle experiments, CASMA achieved average time savings of 48.27% and 56.28% compared with A* and TS, respectively, while reducing step consumption. Overall, CASMA enhances the efficiency of manure-cleaning robots in pig farms, thereby improving animal welfare.

A water strider-inspired intestinal stent actuator for controllable adhesion and unidirectional biofluid picking.

Soft-bodied aquatic organisms exhibit extraordinary navigation and mobility in liquid environments which inspiring the development of biomimetic actuators with complex movements. Stimulus-responsive soft materials including hydrogels and shape-memory polymers are replacing traditional rigid parts that leading to dynamic and responsive soft actuators. In this study, we took inspiration from water strider to develop a biomimetic actuator for targeted stimulation and pH sensing in the gastrointestinal tract. We designed a soft and water-based Janus adhesive hydrogel patch that attaches to specific parts of the intestine and responds to pH changes through external stimulation. The hydrogel patch that forms the belly of the water strider driver incorporates an inverse opal microstructure that enables pH responsive behavior. The hydrogel patch on the water strider's leg uses a sandwich structure of Cu particles to convert light into heat and bend under infrared light to mimic the water strider's leg simulating the efficient and steady movement of the water strider's leg which transporting the biological fluid in one direction. This miniature bionic actuator demonstrates controlled adhesion and unidirectional biofluid delivery capabilities, proving its potential for targeted stimulus response and pH sensing in the gastrointestinal tract, thus opening up new possibilities for medical applications in the growing field of soft actuators.

Root Zn sequestration transporter heavy metal ATPase 3 from Odontarrhena chalcidica enhance Cd tolerance and accumulation in Arabidopsis thaliana.

The Ni hyperaccumulator Odontarrhena chalcidica (formerly Alyssum murale), exhibits a significant capacity to accumulate Zn in the roots. However, the molecular mechanisms underlying the variation in Ni and Zn accumulation are poorly understood. Here, we isolated a homolog of heavy metal ATPase 3 from O. chalcidica (OcHMA3) and characterized its functions using heterologous systems. Phylogenetic analysis revealed that OcHMA3 protein shares 87.6 % identity with AtHMA3, with similar metal binding sites to other HMA3 proteins. Heterologous expression of OcHMA3 in yeast increased sensitivity to Cd, Ni and Zn, suggesting it functions as a broad-specificity transporter. Further investigation showed OcHMA3 is constitutively expressed in the roots and localized to the tonoplast. Overexpression of OcHMA3 in A. thaliana shoots increased its roots Zn concentrations by 41.9 % - 74.1 %. However, overexpression of OcHMA3 in roots enhanced its tolerance to Cd and increased roots Cd concentrations by 50.9 % - 90.6 %. Our findings indicated OcHMA3 is responsible for Zn sequestration in root vacuoles, likely leading to Zn retention in roots and subsequent Ni hyperaccumulation in shoots. This study elucidates the molecular mechanism of Ni and Zn accumulation in O. chalcidica, and identifies OcHMA3 as a potential gene for developing Zn-rich plants and for phytoextraction in Cd-contaminated soils.