Evaluating the protective capacity of soil heavy metals regulation limits on human health: A critical analysis concerning risk assessment - Importance of localization.

Heavy metal pollution of agricultural soil is a major global concern, prompting the establishment of maximum allowable limits (MALs) to ensure food safety and protect human health. This study collected and compared MALs for six heavy metals (As, Cd, Hg, Pb, Zn, and Cu) in agricultural soils from representative countries and organizations (EU and WHO/FAO). The research evaluated the critical health risks and efficacy of these MALs under the hypothetical scenario of metals concentrations reaching the maximum allowable level. Safe thresholds for heavy metals were then derived based on maximum acceptable health risk levels. The comparative analysis revealed significant variations in the specific limit values and terms of MALs across countries and organizations, even for the same metal. This suggests that there is no consensus among countries and organizations regarding the level of metal-related health risks. Furthermore, the risk analysis of metal concentrations reaching the maximum level accentuated heightened risks associated with As, suggesting that the current risk of soil As exposure was underestimated, particularly for children. However, soil Cu, Cd, and Zn limits generally resulted in low health risks, implying that the current limits may overestimate their hazard. Overall, the results highlight that the current MALs for soil heavy metals may not fully safeguard human health. There is a critical need to optimize current soil MALs based on localized risks and the actual impact of these metals on human health. It is suggested to appropriately lower the limits of metals (such as As) whose impact on health risks is underestimated, and cautiously increase the limits of metals (such as Cu, Cd, and Zn) that currently pose minor health risks. This approach aims to reduce both over and insufficient protection problems of soil heavy metal MALs, emphasizing the importance of considering the locality in setting these limits.

Comparison of linear energy transfer measurement for therapeutic carbon beam using CR-39 and TLD.

The measurement of linear energy transfer (LET) is crucial for the evaluation of the radiation effect in heavy ion therapy. As two detectors which are convenient to implant into the phantom, the performance of CR-39 and thermoluminescence detector (TLD) for LET measurement was compared by experiment and simulation in this study. The results confirmed the applicability of both detectors for LET measurements, but also revealed that the CR-39 detector would lead to potential overestimation of dose-averaged LET compared with the simulation by PHITS, while the TLD would have a large uncertainty measuring ions with LET larger than 20 keVµm-1. The results of this study were expected to improve the detection method of LET for therapeutic carbon beam and would finally be benefit to the quality assurance of heavy ion radiotherapy.

Yellow tea: more than turning green leaves to yellow.

Yellow tea (YT), a slightly-fermented tea originated from Ming Dynasty with distinctive "Three yellows," mild-sweet smell, and mellow taste attributed to the unique yellowing process. Based on current literature and our previous work, we aim to comprehensively illustrate the key processing procedures, characteristic chemical compounds, health benefits and applications, as well as the interlocking relationships among them. Yellowing is the most vital procedure anchored on the organoleptic quality, characteristic chemical components, and bioactivities of YT, which is influenced by temperature, moisture content, duration, and ventilation conditions. Pheophorbides, carotenoids, thearubigins and theabrownins are the major pigments contributing to the "three yellows" appearance. Alcohols, such as terpinol and nerol, are attributed to the refreshing and sweet aroma of bud and small-leaf YT, while heterocyclics and aromatics forming during roasting result in the crispy rice-like large-leaf YT. Hygrothermal effects and enzymatic reactions during yellowing result in the decline of astringent substances. Meanwhile, multiple bioactive compounds such as catechins, ellagitannins, and vitexin, endow YT with antioxidant, anti-metabolic syndrome, anti-cancer, gut microbiota regulation, and organ injury protection effects. Future studies focusing on the standard yellowing process technology, quality evaluation system, and functional factors and mechanisms, possible orientations, and perspectives are guaranteed.

European NCAP Driver State Monitoring Protocols: Prevalence of Distraction in Naturalistic Driving.

OBJECTIVE: examine the prevalence of driver distraction in naturalistic driving when implementing European New Car Assessment Program (Euro NCAP)-defined distraction behaviours. BACKGROUND: The 2023 introduction of Occupant Status monitoring (OSM) into Euro NCAP will accelerate uptake of Driver State Monitoring (DSM). Euro NCAP outlines distraction behaviours that DSM must detect to earn maximum safety points. Distraction behaviour prevalence and driver alerting and intervention frequency have yet to be examined in naturalistic driving. METHOD: Twenty healthcare workers were provided with an instrumented vehicle for approximately two weeks. Data were continuously monitored with automotive grade DSM during daily work commutes, resulting in 168.8 hours of driver head, eye and gaze tracking. RESULTS: Single long distraction events were the most prevalent, with .89 events/hour. Implementing different thresholds for driving-related and driving-unrelated glance regions impacts alerting rates. Lizard glances (primarily gaze movement) occurred more frequently than owl glances (primarily head movement). Visual time-sharing events occurred at a rate of .21 events/hour. CONCLUSION: Euro NCAP-described driver distraction occurs naturalistically. Lizard glances, requiring gaze tracking, occurred in high frequency relative to owl glances, which only require head tracking, indicating that less sophisticated DSM will miss a substantial amount of distraction events. APPLICATION: This work informs OEMs, DSM manufacturers and regulators of the expected alerting rate of Euro NCAP defined distraction behaviours. Alerting rates will vary with protocol implementation, technology capability, and HMI strategies adopted by the OEMs, in turn impacting safety outcomes, user experience and acceptance of DSM technology.

Matrix stiffness regulates macrophage polarization in atherosclerosis.

Atherosclerosis is a chronic inflammatory disease and the pathological basis of many fatal cardiovascular diseases. Macrophages, the main inflammatory cells in atherosclerotic plaque, have a paradox role in disease progression. In response to different microenvironments, macrophages mainly have two polarized directions: pro-inflammatory macrophages and anti-inflammatory macrophages. More and more evidence shows that macrophage is mechanosensitive and matrix stiffness regulate macrophage phenotypes in atherosclerosis. However, the molecular mechanism of matrix stiffness regulating macrophage polarization still lacks in-depth research, which hinders the development of new anti-atherosclerotic therapies. In this review, we discuss the important role of matrix stiffness in regulating macrophage polarization through mechanical signal transduction (Hippo, Piezo, cytoskeleton, and integrin) and epigenetic mechanisms (miRNA, DNA methylation, and histone). We hope to provide a new perspective for atherosclerosis therapy by targeting matrix stiffness and macrophage polarization.

Evaluating Driver Features for Cognitive Distraction Detection and Validation in Manual and Level 2 Automated Driving.

OBJECTIVE: This study aimed to investigate the impacts of feature selection on driver cognitive distraction (CD) detection and validation in real-world nonautomated and Level 2 automated driving scenarios. BACKGROUND: Real-time driver state monitoring is critical to promote road user safety. METHOD: Twenty-four participants were recruited to drive a Tesla Model S in manual and Autopilot modes on the highway while engaging in the N-back task. In each driving mode, CD was classified by the random forest algorithm built on three "hand-crafted" glance features (i.e., percent road center [PRC], the standard deviation of gaze pitch, and yaw angles), or through a large number of features that were transformed from the output of a driver monitoring system (DMS) and other sensing systems. RESULTS: In manual driving, the small set of glance features was as effective as the large set of machine-generated features in terms of classification accuracy. Whereas in Level 2 automated driving, both glance and vehicle features were less sensitive to CD. The glance features also revealed that the misclassified driver state was the result of the dynamic fluctuations and individual differences of cognitive loads under CD. CONCLUSION: Glance metrics are critical for the detection and validation of CD in on-road driving. APPLICATIONS: The paper suggests the practical value of human factors domain knowledge in feature selection and ground truth validation for the development of driver monitoring technologies.

Does Sulfoquinovosyl Diacylglycerol Synthase OsSQD1 Affect the Composition of Lipids in Rice Phosphate-Deprived Root?

Lipids are the essential components of the cell intracellular and plasma membranes. Sulfoquinovosyldiacylglycerol (SQDG) is a glycolipid; glycolipids can replace phospholipids in maintaining phosphate (Pi) homeostasis in plants which are undergoing Pi starvation. Sulfoquinovosyl diacylglycerol synthase 1 (OsSQD1) is a critical enzyme in the first step of catalyzation in the formation of SQDG in rice. In this study, the expression pattern of different zones in roots of OsSQD1 in response to different Pi conditions is examined, and it is found that OsSQD1 is highly expressed in lateral roots under Pi-sufficient and -deficient conditions. The root phenotype observation of different OsSQD1 transgenic lines suggests that the knockout/down of OsSQD1 inhibits the formation and growth of lateral roots under different Pi conditions. Additionally, the lipid concentrations in OsSQD1 transgenic line roots indicate that OsSQD1 knockout/down decreases the concentration of phospholipids and glycolipids in Pi-starved roots. The OsSQD1 mutation also changes the composition of different lipid species with different acyl chain lengths, mainly under Pi-deprived conditions. The relative transcript expression of genes relating to glycolipid synthesis and phospholipid degradation is estimated to help study the mechanism by which OsSQD1 exerts an influence on the alteration of lipid composition and concentration in Pi-starved roots. Moreover, in Pi-starved roots, the knockout of OsSQD1 decreases the unsaturated fatty acid content of phospholipids and glycolipids. To summarize, the present study demonstrates that OsSQD1 plays a key role in the maintenance of phospholipid and glycolipid composition in Pi-deprived rice roots, which may influence root growth and development under Pi-deprived conditions.

Changes of the linear energy transfer (LET) and beam width of therapeutic carbon ion beam in density heterogeneous phantoms.

This work aims to investigate the changes in the linear energy transfer (LET) spectra distribution and the beam spot width of a therapeutic carbon ion beam in density heterogeneous phantoms. Three different heterogeneous phantoms were fabricated using a combination of solid water, lung, and bone tissue slabs and irradiated by a single energy carbon beam (276.5 MeV u-1). CR-39 detectors were used for experimental measurements and the Monte Carlo toolkit Geant4 was employed for theoretical simulations. The results demonstrated that the measured LET spectra agree well with the simulation results. The lung and bone tissues displayed no obvious effect on the spectral distribution of LET. The dose-average LET was invariant and showed no obvious difference in the different materials, while the track-average LET increased in the lung and decreased in the bone materials. Similarly, the beam spot size increased in the lung, and decreased in the bone materials. Additionally, the fluence of the secondary fragments varied in different tissues. These findings are expected to provide cross-validation data for the quality assurance of carbon ion therapy and to be beneficial for validating the base data in treatment planning systems.

Effects of Distraction in On-Road Level 2 Automated Driving: Impacts on Glance Behavior and Takeover Performance.

OBJECTIVE: The paper aimed to investigate glance behaviors under different levels of distraction in automated driving (AD) and understand the impact of distraction levels on driver takeover performance. BACKGROUND: Driver distraction detrimentally affects takeover performance. Glance-based distraction measurement could be a promising method to remind drivers to maintain enough attentiveness before the takeover request in partially AD. METHOD: Thirty-six participants were recruited to drive a Tesla Model S in manual and Autopilot modes on a test track while engaging in secondary tasks, including temperature-control, email-sorting, and music-selection, to impose low and high distractions. During the test drive, participants needed to quickly change the lane as if avoiding an immediate road hazard if they heard an unexpected takeover request (an auditory warning). Driver state and behavior over the test drive were recorded in real time by a driver monitoring system and several other sensors installed in the Tesla vehicle. RESULTS: The distribution of off-road glance duration was heavily skewed (with a long tail) by high distractions, with extreme glance duration more than 30 s. Moreover, being eyes-off-road before takeover could cause more delay in the urgent takeover reaction compared to being hands-off-wheel. CONCLUSION: The study measured off-road glance duration under different levels of distraction and demonstrated the impacts of being eyes-off-road and hands-off-wheel on the following takeover performance. APPLICATION: The findings provide new insights about engagement in Level 2 AD and are useful for the design of driver monitoring technologies for distraction management.

The Impacts of Temporal Variation and Individual Differences in Driver Cognitive Workload on ECG-Based Detection.

OBJECTIVE: This paper aimed to investigate the robustness of driver cognitive workload detection based on electrocardiogram (ECG) when considering temporal variation and individual differences in cognitive workload. BACKGROUND: Cognitive workload is a critical component to be monitored for error prevention in human-machine systems. It may fluctuate instantaneously over time even in the same tasks and differ across individuals. METHOD: A driving simulation study was conducted to classify driver cognitive workload underlying four experimental conditions (baseline, N-back, texting, and N-back + texting distraction) in two repeated 1-hr blocks. Heart rate (HR) and heart rate variability (HRV) were compared among the experimental conditions and between the blocks. Random forests were built on HR and HRV to classify cognitive workload in different blocks and for different individuals. RESULTS: HR and HRV were significantly different between repeated blocks in the study, demonstrating the time-induced variation in cognitive workload. The performance of cognitive workload classification across blocks and across individuals was significantly improved after normalizing HR and HRV in each block by the corresponding baseline. CONCLUSION: The temporal variation and individual differences in cognitive workload affects ECG-based cognitive workload detection. But normalization approaches relying on the choice of appropriate baselines help compensate for the effects of temporal variation and individual differences. APPLICATION: The findings provide insight into the value and limitations of ECG-based driver cognitive workload monitoring during prolonged driving for individual drivers.

Measurement of therapeutic12C beam in a water phantom using CR-39.

The motivation for this study was to explore a new method to test the particle spatial distribution for a therapeutic carbon beam. CR-39 plastic nuclear track detectors were irradiated to a 276.5 MeV u-1mono-energy carbon beam at the heavy ion facility in the Shanghai Proton and Heavy Ion Center. The spatial distribution of the primary carbon beam and secondary fragments in a water phantom were systematically analyzed both in the transverse direction (perpendicular to the projection direction of the primary beam) and at different depths in the longitudinal direction (along the projection direction of the primary beam) with measured tracks on the CR-39 detectors. Meanwhile, the theoretically spatial distribution and linear energy transfer (LET) spectra of the primary beam and secondary fragments were calculated using the Monte Carlo (MC) toolkit Geant4. The results showed that the CR-39 detectors are capable of providing high lateral resolution of carbon ion at different depths. In the range of the primary carbon beam, the beam width simulated with MC is in good agreement with that of experimental measurement. The track size registered in the CR-39 has a good correlation with the particle LET. These findings indicate that the CR-39 can be used for measuring both the particle flux and its spatial distribution of carbon ions.

The bHLH transcription factor gene AtUPB1 regulates growth by mediating cell cycle progression in Arabidopsis.

Plant growth, development and interaction with the environment involve the action of transcription factor. bHLH proteins play an essential and often conserved role in the plant kingdom. However, bHLH proteins that participate in the cell division process are less well known. Here, we report that the bHLH transcription factor gene AtUPB1 is involved in mediating cell cycle progression and root development. In yeast cells, AtUPB1 inhibits cells proliferation and the cells had increased numbers of nuclei. UPB1 overexpression decreased the expression of the cell division marker CYCB1-1, and CDKA1 expression could overcome the defect of UPB1 overexpression. Moreover, UPB1 could directly bind to the promoter region of the SIM and SMR1 genes to regulate cell cycle. These results support a new role for AtUPB1 regulating root meristem development by mediating the expression of SIM/SMR1 genes.

Barbaloin loaded polydopamine-polylactide-TPGS (PLA-TPGS) nanoparticles against gastric cancer as a targeted drug delivery system: Studies in vitro and in vivo.

Gastric cancer is the third leading cause of cancer-associated death worldwide. Although a decrease in its incidence is observed, gastric cancer still poses a major clinical challenge due to poor prognosis and limited treatments. Barbaloin (BBL) is a main medicinal composition of the Chinese traditional medicine aloe vera. BBL has various bioactivities, including anti-oxidant, anti-inflammatory and anti-tumor properties. Polydopamine (pD)-based surface modification is easy to functionalize polymeric nanoparticles (NPs) surfaces with ligands and/or additional polymeric layers. In the present study, BBL-loaded formulations was developed with pD-modified NPs, which was synthesized by polylactide-TPGS (PLA-TPGS) (pD-PLA-TPGS/NPs). And galactosamine (Gal) was conjugated on the prepared NPs (Gal-pD-PLA-TPGS/NPs) for targeting the gastric cancer cells. Here, we found that BBL-loaded Gal-pD-PLA-TPGS/NPs showed the highest cellular uptake efficacy in gastric cancer cells. Gal-pD-PLA-TPGS/NPs more significantly reduced the gastric cancer cell viability. Further, greater apoptosis, autophagy and ROS generation was induced by Gal-pD-PLA-TPGS/NPs in gastric cancer cells. Additionally, compared to the other two NPs, Gal-pD-PLA-TPGS/NPs most markedly decreased ATP levels in gastric cancer cells. In vivo, Gal-pD-PLA-TPGS/NPs were specifically targeted to tumor site. Moreover, Gal-pD-PLA-TPGS/NPs exhibited the most anti-tumor effects, as evidenced by the lowest tumor volume and tumor weight. Of note, there was no significant difference was observed in body and liver weight, as well as the histological changes in major organs isolated from each group of mice. Together, the findings indicated that BBL-loaded Gal-pD-PLA-TPGS/NPs could be targeted to gastric cancer cells to suppress tumor progression without toxicity.

Chinese herbal decoction, Yi-Qi-Jian-Pi formula exerts anti-hepatic fibrosis effects in mouse models of CCl4-induced liver fibrosis.

Background: Yi-Qi-Jian-Pi Formula (YQJPF) is a herbal medicine that is used to treat patients with liver failure. However, scientific evidence supporting the treatment of hepatic fibrosis with YQJPF has not been forthcoming. The present study aimed to determine the mechanisms underlying the anti-fibrotic effects of YQJPF in mouse models of hepatic fibrosis. Methods: Mice were randomly assigned to control, hepatic fibrosis model, silymarin (positive treated), and low-, medium- and high-dose YQJPF (7.5, 15, and 30 g/kg, respectively) groups. Liver function, inflammatory cytokines, and oxygen stress were analyzed using ELISA kits. Sections were histopathologically stained with hematoxylin-eosin, Masson trichrome, and Sirius red. Macrophage polarization was measured by flow cytometry and immunofluorescence. Potential targets of YQJPF against hepatic fibrosis were analyzed by network pharmacology of Chinese herbal compound and the effects of YQJPF on the transforming growth factor-beta (TGF-ß)/Suppressor of Mothers against Decapentaplegic family member 3 (Smad3) signaling pathway were assessed using qRT-PCR and immunohistochemical staining. Finally, metagenomics and LC-MS/MS were used to detect the intestinal flora and metabolites of the mice, and an in-depth correlation analysis was performed by spearman correlation analysis. The data were compared by one-way ANOVA and least significant differences (LSDs) or ANOVA-Dunnett's T3 method used when no homogeneity was detected. Results: We induced hepatic fibrosis using CCl4 to establish mouse models and found that YQJPF dose-dependently increased body weight, improved liver function, and reversed hepatic fibrosis. Elevated levels of the pro-inflammatory factors IL-1ß, IL-6, and TNF-α in the model mice were substantially decreased by YQJPF, particularly at the highest dose. Levels of serum malondialdehyde and superoxide dismutase (SOD) activity were elevated and reduced, respectively. The malondialdehyde concentration decreased and SOD activity increased in the high-dose group. M1 polarized macrophages (CD86) in the mouse models were significantly decreased and M2 polarization was mildly decreased without significance. However, high-dose YQJPF increased the numbers of M2 macrophages and inhibited TGF-ß/Smad3 signaling. Metagenomic and non-targeted metabolomics detection results showed that YQJPF could regulate intestinal homeostasis, and Spearman correlation analysis showed that the abundance of Calditerrivibrio_nitroreducens was significantly negatively correlated with 18ß-glycyrrhetinic acid. It is suggested that Calditerrivibrio_nitroreducens may reduce the anti-fibrosis effect of licorice and other Chinese herbs by digesting 18ß-glycyrrhetinic acid. Conclusions: YQJPF can reverse liver fibrosis by inhibiting inflammation, suppressing oxidative stress, regulating the immunological response initiated by macrophages, inhibiting TGF-ß/Smad3 signaling and regulating intestinal flora homeostasis. Therefore, YQJPF may be included in clinical regimens to treat hepatic fibrosis.

[Study on quality control of Houttuynia Cordata, a traditional Chinese medicine by fingerprint combined with quantitative analysis of multi-components by single marker].

To establish a new method of quality evaluation of Traditional Chinese medicine by fingerprint and quantitative analysis of multi-components by single marker method (QAMS). The quality evaluation method was established and validated with Houttuyniae Herba. Chlorogcnic acid was selected as markers of ingredients to establish HPLC fingerprint and internal reference standard to determine the contents of other 6 components (new chlorogcnic acid, cryptochlorogenic acid, rutin, hyperin, isoquercitrin, quercitrin) according to the relative correction factor. At the same time, the seven components were determined by external standard method. The accuracy and feasibility of QAMS was evaluated by comparison of the results between external standard method and QAMS. All tested samples contained the 12 common peaks , 7 of which was verified ,and there was no significant differences between the quantitative results of 7 ingredients of multi-components by single marker method and external standard method in 20 batches. The method of fingerprint combined with QAMS has been verified in Houttuyniae Herba and it is to be a new quality evaluation pattern for Traditional Chinese medicine.

Tracking cadmium pollution from source to receptor: A health-risk focused transfer continuum approach.

Cadmium (Cd) exposure poses a substantial risk to human health. Despite this, the multi-stage process through which Cd is released to the environment before being taken up and impacting human receptors has rarely been investigated. Here we utilized an integrated model involving Cd emissions, atmospheric transport, deposition, uptake by rice, receptor ingestion and metabolic processing in quantifying the critical emission sources and human health risks of Cd. Atmospheric Cd emissions in the study area in southeastern China were estimated at 147 kg (2016), with >53 % of emissions from non-ferrous metals (NFM) smelting activities. Atmospheric Cd depositions caused elevated Cd content in soil and rice, accounting for 3-79 % and 50-85 % of, respectively, soil and rice Cd. Cumulative frequency analysis showed that an estimated 1.3 % of predicted urine Cd through the consumption of Cd-contaminated rice and exceeded existing safety standards (1 µg g-1), thus highlighting the risks posed to health from high levels of Cd pollution. Applying stricter industrial emission standards to the NFM sector in particular and effective soil management practices could substantially reduce exposure to Cd pollution. The results contribute to understanding of the Cd transfer process and draw attention to the relative health benefits of interventions aimed at mitigating Cd levels and exposure risks at different stages along the Cd transfer continuum from source to receptor.

Predictive Value of Carotid Plaque Contrast-Enhanced Ultrasound Score and Homocysteine in Senile Metabolic Syndrome Complicated by Cerebral Infarction.

OBJECTIVE: To investigate the predictive value of the carotid plaque contrast-enhanced ultrasound (CEUS) score and blood homocysteine (HCY) in senile metabolic syndrome (MetS) complicated by cerebral infarction. STUDY DESIGN: Observational study. Place and Duration of the Study: Department of Ultrasound Imaging, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, China, from July 2020 to December 2021. METHODOLOGY: A total of 118 senile MetS patients complicated by cerebral infarction were selected as Group A, and 103 senile MetS patients without cerebral infarction were selected as Group B. Both groups were compared in terms of cardiovascular risk factors and ultrasonic examination of carotid plaques. The independent risk factors for cerebral infarction among senile MetS patients were analysed using logistic regression. An ROC curve was used to assess the predictive value of statistically significant risk factors in senile MetS complicated by cerebral infarction. RESULTS: Significant differences were observed in smoking, abdominal circumference, blood pressure, HCY, fasting blood glucose, high-density and low-density lipoprotein cholesterol, triacylglycerol, carotid plaque thickness, CEUS score, lumen stenosis, and ulcer plaque between the two groups. Logistic regression analysis showed that the plaque CEUS score and HCY were independent risk factors for senile MetS complicated by cerebral infarction. The areas under the ROC curve for the CEUS score and HCY were 0.795 and 0.812, respectively, and was 0.858 for the combined diagnosis of both. When the CEUS score was ≥2 and HCY was ≥16.45 mmol/l, the sensitivity and specificity of predicted senile MetS complicated by cerebral infarction were 83.1% and 74.8%, respectively. CONCLUSION: The carotid plaque CEUS score and blood HCY exhibit a substantial predictive capacity for cerebral infarction in elderly MetS patients. The combined diagnostic efficacy of the two is superior. KEY WORDS: Contrast-enhanced ultrasound, Homocysteine, Elderly, Metabolic syndrome, Cerebral infarction, Carotid plaque.

Nanoscale Morphologies on the Surface of 3D-Printed Titanium Implants for Improved Osseointegration: A Systematic Review of the Literature.

Three-dimensional (3D) printing is serving as the most promising approach to fabricate personalized titanium (Ti) implants for the precise treatment of complex bone defects. However, the bio-inert nature of Ti material limits its capability for rapid osseointegration and thus influences the implant lifetime in vivo. Despite the macroscale porosity for promoting osseointegration, 3D-printed Ti implant surface morphologies at the nanoscale have gained considerable attention for their potential to improve specific outcomes. To evaluate the influence of nanoscale surface morphologies on osseointegration outcomes of 3D-printed Ti implants and discuss the available strategies, we systematically searched evidence according to the PRISMA on PubMed, Embase, Web of Science, and Cochrane (until June 2022). The inclusion criteria were in vivo (animal) studies reporting the osseointegration outcomes of nanoscale morphologies on the surface of 3D-printed Ti implants. The risk of bias (RoB) was assessed using the Systematic Review Centre for Laboratory Animal Experimentation (SYRCLE's) tool. The quality of the studies was evaluated using the Animal Research: Reporting of In Vivo Experiments (ARRIVE) guidelines. (PROSPERO: CRD42022334222). Out of 119 retrieved articles, 9 studies met the inclusion criteria. The evidence suggests that irregular nano-texture, nanodots and nanotubes with a diameter of 40-105nm on the surface of porous/solid 3D-printed Ti implants result in better osseointegration and vertical bone ingrowth compared to the untreated/polished ones by significantly promoting cell adhesion, matrix mineralization, and osteogenic differentiation through increasing integrin expression. The RoB was low in 41.1% of items, unclear in 53.3%, and high in 5.6%. The quality of the studies achieved a mean score of 17.67. Our study demonstrates that nanostructures with specific controlled properties on the surface of 3D-printed Ti implants improve their osseointegration. However, given the small number of studies, the variability in experimental designs, and lack of reporting across studies, the results should be interpreted with caution.

Hydroxyls on the B ring and gallic acyl are essential for catechins to restrain ADP-induced thrombosis.

Platelet hyperactivation could lead to various cardiovascular and cerebrovascular diseases, while epidemiological analyses have found that long-term tea drinking could prevent and restrain cardiovascular diseases. Existing studies have shown that catechins, especially epigallocatechin gallate (EGCG), are the main functional factors of tea in alleviating thrombosis, which could inhibit arterial thrombosis and platelet aggregation induced by a variety of agonists. However, their structure-activity relationship and the underlying mechanisms are still unclear. Based on the above background, this study took six typical catechins as research objects, constructed platelet activation models with different inducers, and explored the inhibitory effects and potential mechanisms of catechins with different structures on platelet aggregation through flow cytometry, immunoblotting, cell spreading, and other experiments. It was found that ester catechins could inhibit platelet aggregation induced by adenosine diphosphate (ADP), while epigallocatechin (EGC) with three hydroxyls on the B ring in non-ester catechins was also able to effectively inhibit platelet aggregation. Our data suggested that gallic acyl on the C ring and three hydroxyls on the B ring were the main functional groups affecting the antithrombotic effect of catechins, and the effect of gallic acyl on platelets was significantly stronger than that of the hydroxyl.

Towards an integrated health risk assessment framework of soil heavy metals pollution: Theoretical basis, conceptual model, and perspectives.

The health risk of soil heavy metals pollution has been gaining increasing public concern. However, many countries have not set their own health risk assessment (HRA) framework and most of the existing studies directly referred to the USEPA risk assessment model and parameters. For those countries that do not propose an original HRA framework, the experience of developed countries is crucial for advancing their own HRA system. This study systematically reviewed the development of HRA framework in some representative developed countries. The theoretical basis, conceptual model, progress, and challenges of HRA researches concerning soil heavy metals pollution were summarized. By recalling and comparing the health risk-related laws and guidance in the USA, UK, and Japan, results showed that the construction of HRA framework varied between these countries, but HRA has become the main method for deriving their soil environmental criteria. We further summarized the evaluation scales, land use types, exposure pathways, and sensitive receptors of HRA studies, and highlighted the key parameters affecting health risk outputs. There has been a shift toward the incorporation of probabilistic modeling, metals bioavailability, and sources emission characteristics into recent HRA studies. Nonetheless, challenges remained on how to minimize the uncertainty of generating probability distribution and detecting metal bioavailability. To facilitate the development of HRA framework, it was advised that developing countries should strengthen the theoretical researches of health risk and localization researches of exposure factors. Future directions are suggested to tend to: 1) promote sensitive analysis to quantify the impact of distribution assumptions on health risk outputs, 2) derive reasonable risk threshold and consistent evaluation protocol for bioavailability-based health risk assessment method, and 3) strive to explore the combined health effect of exposure to heavy metals in soil through source-media-receptor integrated studies.