Facial synthesis of fluorine-engineered magnetic covalent organic framework for selective and ultrasensitive determination of fipronil, its metabolites and analogs in food samples.

To improve the adsorption affinity and selectivity of fipronils (FPNs), including fipronil, its metabolites and analogs, a magnetic covalent organic framework (Fe3O4@COF-F) with copious fluorine affinity sites was innovatively designed as an adsorbent of magnetic solid-phase extraction (MSPE). The enhanced surface area, pore size, crystallinity of Fe3O4@COF-F and its exponential adsorption capacities (187.3-231.5 mg g-1) towards fipronils were investigated. Combining MSPE with high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS), an analytical method was established for the selective determination of fipronils in milk and milk powder samples. This method achieved high sensitivity (LODs: 0.004-0.075 ng g-1), satisfactory repeatability and accuracy with spiked recoveries ranging from 89.9% to 100.3% (RSDs≤5.1%). Overall, the constructed Fe3O4@COF-F displayed great potential for the selective enrichment of fipronils, which could be ascribed to fluorine­fluorine interaction. This method proposed a feasible and promising strategy for the development of functionalized COF and broadened its application in fluorine containing hazards detection.

Complete mitochondrial genome and phylogenetic analysis of Chloris chloris (Passeriformes: Fringillidae).

In this study, we employed high-throughput metagenomic data to assemble the mitochondrial genome (mitogenome) of the European greenfinch (Chloris chloris; Linnaeus 1758). The circular mitogenome was 16,813 base pairs (bp) in length, containing 13 protein-coding genes (PCGs), 22 tRNA genes, 2 rRNA genes, and 1 control region. The base composition of the mitogenome is 30.6% A, 30.7% C, 14.2% G, and 24.5% T, resulting in a GC content of 44.9%. Phylogenetic analysis, utilizing the concatenation of the 13 mitochondrial PCGs from 32 related species of the order Passeriformes, indicated a closer relationship between C. chloris and C. sinica. Moreover, the genus Chloris was closely related to the genera of Serinus, Crithagra, Carduelis, and Acanthis. This mitogenomic data of C. chloris not only be helpful for species identification but also facilitates our understanding of the evolutionary relationship among different species in genus Chloris, which experienced rapid radiation evolution.

Gut microbiota and autoimmune thyroid disease: a bidirectional Mendelian randomization study and mediation analysis.

Background: The gut microbiota (GM) plays a pivotal role in influencing various health outcomes, including immune-mediated conditions, but its potential association with autoimmune thyroid disease (AITD) remains underexplored. We aimed to investigate the potentially pathogenic or protective causal impacts of specific GM on two types of AITD, namely Graves' disease and Hashimoto's thyroiditis, and analyzed the mediating effect of 731 immune cell phenotypes. Methods: Leveraging pooled genome-wide association study (GWAS) data of 211 gut microbiota traits, 731 immune cell phenotypes, and two types of AITD (Hashimoto's thyroiditis and Graves' disease), we performed bidirectional Mendelian randomization (MR) analyses to explore the causal relationships between the GM and AITD. Subsequently, we employed a multivariable MR analysis to discover potential mediating immune cell traits. Additionally, sensitivity analyses were utilized to ensure the reliability of the outcomes. Results: Our analysis revealed that a total of 7 GM taxa were positively associated with AITD, and other 14 taxa showed a negative correlation with AITD. Furthermore, we identified several immune cell traits that mediated the effects of GM on AITD. Most notably, Actinobacteria (p) presented protective effects on Hashimoto's thyroiditis via CCR2 on myeloid Dendritic Cell (5.0%), and Bifidobacterium (g) showed facilitating effects on Graves' disease through CD39+ CD4+ T cell %CD4+ T cell (5.0%) and CD14 on CD33+ HLA DR+ CD14dim (12.2%). Conclusion: The current MR study provides evidence supporting the causal relationships between several specific GM taxa and AITD, and further identified potential mediating immunophenotypes.

Unlocking Copper-Free Interfacial Asymmetric C-C Coupling for Ethylene Photosynthesis from CO2 and H2O.

Solar-driven carbon dioxide (CO2) reduction into C2+ products such as ethylene represents an enticing route toward achieving carbon neutrality. However, due to sluggish electron transfer and intricate C-C coupling, it remains challenging to achieve highly efficient and selective ethylene production from CO2 and H2O beyond capitalizing on Cu-based catalysts. Herein, we report a judicious design to attain asymmetric C-C coupling through interfacial defect-rendered tandem catalytic centers within a sulfur-vacancy-rich MoSx/Fe2O3 photocatalyst sheet, enabling a robust CO2 photoreduction to ethylene without the need for copper, noble metals, and sacrificial agents. Specifically, interfacial S vacancies induce adjacent under-coordinated S atoms to form Fe-S bonds as a rapid electron-transfer pathway for yielding a Z-scheme band alignment. Moreover, these S vacancies further modulate the strong coupling interaction to generate a nitrogenase-analogous Mo-Fe heteronuclear unit and induce the upward shift of the d-band center. This bioinspired interface structure effectively suppresses electrostatic repulsion between neighboring *CO and *COH intermediates via d-p hybridization, ultimately facilitating an asymmetric C-C coupling to achieve a remarkable solar-to-chemical efficiency of 0.565% with a superior selectivity of 84.9% for ethylene production. Further strengthened by MoSx/WO3, our design unveils a promising platform for optimizing interfacial electron transfer and offers a new option for C2+ synthesis from CO2 and H2O using copper-free and noble metal-free catalysts.

Data-Independent Acquisition Proteome Technology for Analysis of Antifungal and Anti-aflatoxigenic Properties of Eugenol to Aspergillus flavus.

Several toxicogenic Aspergilli, such as Aspergillus flavus and A. parasiticus, could biosynthesize aflatoxin B1 (AFB1) and other mycotoxins. Chemical fungicides are commonly used to control fungal contamination, but chemical residues may pose significant risks to human health and environmental stability. Consequently, natural antifungal and aflatoxin-inhibiting agents could be sustainable alternatives. Eugenol has been used as an inhibitor of aflatoxins (AFs), which is a common essential oil. Nevertheless, the definite mechanism by which eugenol exerts its inhibitory effect on Aspergillus remains unclear. This research demonstrates that eugenol significantly suppressed fungi growth and AF production as the dose increased (40.9 to 100%). With the proteomics approach, the inhibition pathway of eugenol was investigated. The production of proteins involved in cell wall integrity was notably reduced under eugenol treatment, indicating that eugenol destroys the cell wall integrity of A. flavus. Furthermore, exposure to eugenol downregulated several fungal developmental regulators and subsequently inhibited A. flavus development. Energy metabolism in A. flavus is closely related to its secondary metabolism. Under eugenol treatment, the synthesis of proteins relevant to the pentose phosphate pathway was significantly enhanced, leading to a decrease in the availability of acetyl-CoA, a precursor for AF biosynthesis. Simultaneously, the valine, leucine, and isoleucine biosynthesis pathways were enhanced, further reducing the content of acetyl-CoA. This might be the primary factor in the inhibition of AF biosynthesis by eugenol. Ribosome biogenesis was the most dysregulated pathway based on KEGG data, indicating that eugenol disturbed ribosome biogenesis and affected its normal function in A. flavus. In conclusion, eugenol inhibits the cellular integrity, energy metabolism, and protein synthesis and then suppresses A. flavus development and AF biosynthesis, which provides a clearer grasp of the inhibitory mechanism meaningful for A. flavus and AF contamination control.

Attraction of Nicotiana benthamiana to Bemisia tabaci is related to a chemical signal in plant volatile, undecane.

BACKGROUND: The whitefly Bemisia tabaci is one of the world's foremost agricultural pests. Recently, we found that a wild relative of tobacco (Nicotiana benthamiana) demonstrates remarkable attractiveness and nearly 100% lethality towards whiteflies. Therefore, it can act as a dead-end trap crop for whitefly control in the field. However, the underlying mechanism of the significant attractiveness of N. benthamiana towards whiteflies is unclear. RESULTS: Binary-choice assays and olfactory experiments showed that compared to common tobacco (N. tabacum), the volatile of N. benthamiana has a greater attraction to whiteflies. Then we analyzed and compared volatiles from these two Nicotiana species by thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS). We identified 16 chemical compounds that are more abundant in N. benthamiana than in N. tabacum. Seven compounds were further tested with olfactometer assays and we found that, among them, undecane strongly attracted whiteflies. Further experiments revealed that even 0.005 µg mL-1 undecane is attractive to whiteflies. We also silenced the genes that may influence the biosynthesis of undecane and found the production of undecane decreased after silencing NbCER3, and that N. benthamiana plants with less undecane lost their attraction to whiteflies. In addition, we found that applying 0.005 µg mL-1 undecane on yellow sticky traps can increase the number of stuck insects on the traps by ≈40%. CONCLUSION: Undecane from the volatile of N. benthamiana is a critical chemical signal that attracts whiteflies and NbCER3 involved in the biosynthesis of undecane. Undecane may be used to improve the efficiency of yellow sticky traps for whitefly control. © 2024 Society of Chemical Industry.

Association of baseline sleep duration and sleep quality with seizure recurrence in newly treated patients with epilepsy.

OBJECTIVE: Although sleep duration and sleep quality are considered to be significant factors associated with epilepsy and seizure risk, findings are inconsistent, and their joint association remains uncertain. This study aimed to determine independent and joint associations of these two modifiable sleep features with seizure recurrence risk in newly treated patients with epilepsy (PWE). METHODS: This is a prospective cohort study of newly treated PWE at a comprehensive epilepsy center in northeast China between June 2020 and December 2023. Self-reported sleep duration and sleep quality were collected at baseline. All patients were followed for 12 months for recurrent seizures. Cox proportional hazard regression models were used to estimate the hazard ratios (HRs) of seizure recurrence. Models fitted with restricted cubic spline were conducted to test for linear and nonlinear shapes of each association. RESULTS: A total of 209 patients were included, and 103 experienced seizure recurrence during follow-up. Baseline short sleep was significantly associated with greater risk of seizure recurrence (adjusted HR = 2.282, 95% confidence interval [CI] = 1.436-3.628, p < .001). Sleep duration (h/day) and recurrent seizure risk showed a significant nonlinear U-shaped association, with a nadir at 8 h/day. Baseline poor sleep quality was significantly associated with greater risk of seizure recurrence (adjusted HR = 1.985, 95% CI = 1.321-2.984, p < .001). Pittsburgh Sleep Quality Index score and seizure recurrence risk exhibited a positive linear association. Participants with a combination of poor quality-short sleep showed the highest risk of seizure recurrence (adjusted HR = 3.13, 95% CI = 1.779-5.507, p < .001) compared to the referent good quality-intermediate sleep group. SIGNIFICANCE: Baseline sleep duration and sleep quality were independently and jointly associated with risk of seizure recurrence in newly treated PWE. Our results point to an important potential role of baseline sleep duration and sleep quality in shaping seizure risk.

Health Insurance Continuity and Mortality in Children and Adolescents/Young Adults with Blood Cancer.

BACKGROUND: Many uninsured patients do not receive Medicaid coverage until a cancer diagnosis, potentially delaying access to care for early cancer detection and treatment. We examine the association of Medicaid enrollment timing and patterns with survival among children and adolescents/young adults (AYAs) diagnosed with blood cancers, where disease onset can be acute and early detection is critical. METHODS: We identified 28,750 children and AYAs (0-39 years) newly diagnosed with blood cancers from the 2006-2013 SEER-Medicaid data. Enrollment patterns included continuous Medicaid (preceding through diagnosis), newly gained Medicaid (at/shortly after diagnosis), other noncontinuous Medicaid enrollment, and private/other insurance. We assessed cumulative incidence of death from diagnosis, censoring at last follow-up, five years post-diagnosis, or December 2018, whichever occurred first. Multivariable survival models estimated the association of insurance enrollment patterns with risk of death. RESULTS: One-fourth (26.1%) of the cohort were insured by Medicaid; of these, 41.1% had continuous Medicaid, 34.9% had newly gained Medicaid, and 24.0% had other noncontinuous enrollment. The cumulative incidence of all-cause death five-year post-diagnosis was highest in patients with newly gained Medicaid (30.2%, 95%CI = 28.4-31.9%), followed by other noncontinuous enrollment (23.2%, 95%CI = 21.3-25.2%), continuous Medicaid (20.5%, 95%CI = 19.1-21.9%), and private/other insurance (11.2%; 95%CI = 10.7-11.7%). In multivariable models, newly gained Medicaid was associated with a higher risk of all-cause (hazard ratio = 1.39, 95%CI = 1.27-1.53) and cancer-specific death (hazard ratio = 1.50, 95%CI = 1.35-1.68), compared to continuous Medicaid. CONCLUSIONS: Continuous Medicaid coverage is associated with survival benefits among pediatric and AYA patients diagnosed with blood cancers; however, less than half of Medicaid-insured patients have continuous coverage before diagnosis.

pH and H2O2 dual-sensitive nanoparticles enable enhanced and safe glucose-responsive oral insulin delivery for diabetes mellitus treatment.

Background: Oral insulin delivery is considered a revolutionary alternative to daily subcutaneous injection. However, the oral bioavailability of insulin is very low due to the poor oral absorption into blood circulation. Methods: To promote penetration across the intestinal epithelium and achieve enhanced and safe glucose-responsive oral insulin delivery, pH and H2O2 dual-sensitive nanoparticles (NPs) were constructed. The NPs were loaded of glucose oxidase (GOx) and insulin by pH and H2O2 dual-sensitive amphiphilic polymer incorporated with phenylboronic ester-conjugated poly(2-hydroxyethyl methacrylate) and poly(carboxybetaine) (PCB). The dual-sensitive NPs were utilized for the treatment of type 1 diabetes mellitus (T1DM) after oral administration. Results: The dual-sensitive NPs could enhance the transport of insulin across the intestinal epithelium into blood facilitated by zwitterionic PCB. By virtue of the generated low pH and high H2O2 with GOx in hyperglycemic environment, the pH and H2O2 dual-sensitive NPs were disassembled to achieve rapid and sustained release of insulin. After oral administration of the dual-sensitive NPs in enteric capsules into T1DM mouse model, the oral bioavailability of insulin reached 20.24%, and the NPs achieved hypoglycemic effect for a few hours longer than subcutaneously injected insulin. Importantly, the pH and H2O2 dual-sensitive NPs could ameliorate the local decline of pH and rise of H2O2 to avoid the toxic side effect. Conclusion: Therefore, this work would provide a promising platform for the enhanced and safe treatment of diabetes mellitus.

Intake of Added Sugar from Different Sources and Risk of All-cause Mortality and Cardiovascular Diseases: The Role of Body Mass Index.

BACKGROUND: Recent studies have shown an ascending trend in global added sugar consumption. Evidence for the long-term consequences of added sugar from different sources on all-cause mortality and cardiovascular diseases (CVDs) remains limited. OBJECTIVE: This study aimed to examine the associations between added sugar from various sources and the risk of all-cause mortality and CVDs, and to determine whether genetic predisposition and body mass index (BMI) influence or mediate these associations. METHODS: We included 196,414 UK Biobank participants who completed a 24-hour food survey between 2009 and 2012. Sugar contents were collected from the Composition of Foods Integrated Dataset (CoFID). The National Death Registries and hospital records provided data on death and the disease diagnosis. We employed a polygenic risk score (PRS) to assess the genetic predisposition. Cox proportional hazards regression was used to analyze the associations. RESULTS: Totally, 10,081 deaths, 38,563 hypertension cases, 12,306 ischaemic heart diseases (IHD), and 5,491 cerebrovascular diseases were documented. Compared with the lowest quartile group of added sugar intake, the hazards ratios for all-cause mortality in the highest quartile were 1.21 (95% CI: 1.14, 1.30) for total added sugar, 1.03(95% CI: 0.97, 1.10) for solids, and 1.16(95% CI: 1.10, 1.23) for beverages. For CVDs, significant associations were observed in total added sugar and beverage sources. These associations were not altered by PRS, and individuals at greatest risk showed higher PRS along with excessive added sugar consumption (Ptrend<0.001). BMI was found to mediate the highest proportion of the association between added sugar and hypertension (19.10% for total; 36.95% for beverages). CONCLUSION: Higher intake of added sugar, especially from beverages, is associated with an increased risk of all-cause mortality and CVDs. BMI mediates a proportion of these associations.

Comparison of Intercostal Nerve Block and Serratus Anterior Plane Block for Perioperative Pain Management and Impact on Chronic Pain in Thoracoscopic Surgery: A Randomized Controlled Trial.

OBJECTIVES: This study compares the analgesic efficacy of Intercostal Nerve Block (ICNB) under direct thoracoscopic visualization and Serratus Anterior Plane Block (SAPB) with ultrasound guidance during thoracoscopic surgery's perioperative period. Furthermore, it examines their impact on chronic pain and identifies potential risk factors associated with its development. METHODS: In this prospective randomized controlled study, 74 thoracoscopic surgery patients were randomly assigned to ICNB or SAPB groups. Attending surgeons administered ICNB, while anesthesiologists performed SAPB, both using 20 mL of 0.5% ropivacaine. Primary outcomes included Visual Analog Scale (VAS) scores for resting and coughing pain at 6, 12, 24, and 48 hours postoperatively, perioperative opioid and NSAID consumption, and chronic pain incidence at 3 months postoperatively. Secondary outcomes aimed to identify independent risk factors for chronic pain. RESULTS: The primary results reveal that SAPB group exhibited significantly lower VAS scores than ICNB group for postoperative coughing at 24 hours (P<0.001, 95% CI=[0.5, 1]) and for resting pain at 48 hours (P=0.001, 95% CI=[0.2, 1]). Conversely, ICNB group demonstrated reduced VAS score for resting pain at 6 hours compared to SAPB group (P=0.014, 95% CI=[-0.5, 0.5]). SAPB group required significantly less intraoperative sulfentanil (P<0.001, 95% CI=[2.5, 5]), remifentanil (P=0.005, 95% CI=[-0.4, -0.1]), and flurbiprofen ester (P=0.003, 95% CI=[0, 50]) than ICNB group. Chronic pain incidence was similar (P=0.572, 95% CI=[0.412, 1.279]), with mild pain in both ICNB and SAPB groups. Secondary findings indicate that resting VAS score at 12 hours (OR=7.59, P=0.048, 95% CI=[1.02, 56.46]), chest tube duration (OR=3.35, P=0.029, 95% CI=[1.13, 9.97]), and surgical duration (OR=1.02, P=0.049, 95% CI=[1.00, 1.03]) were significant predictors of chronic pain occurrence. DISCUSSION: ICNB and SAPB demonstrated comparable analgesic effects, with similar rates of chronic pain occurrence. Chronic pain independent risk factors included resting VAS score at 12 hours, chest tube duration, and surgical duration.

Advancing cerebral small vessel disease diagnosis: Integrating quantitative susceptibility mapping with MRI-based radiomics.

Cerebral small vessel disease (CSVD) is a neurodegenerative disease with hidden symptoms and difficult to diagnose. The diagnosis mainly depends on clinical symptoms and neuroimaging. Therefore, we explored the potential of combining clinical detection with MRI-based radiomics features for the diagnosis of CSVD in a large cohort. A total of 118 CSVD patients and 127 healthy controls underwent quantitative susceptibility mapping and 3D-T1 scans, and all completed multiple cognitive tests. Lasso regression was used to select features, and the radiomics model was constructed based on the regression coefficients of these features. Clinical cognitive and motor tests were added to the model to construct a hybrid model. All models were cross-validated to analyze the generalization ability of the models. The AUCs of the radiomics and hybrid models in the internal test set were 0.80 and 0.87, respectively. In the validation set, the AUCs were 0.77 and 0.79, respectively. The hybrid model demonstrated higher decision efficiency. The Trail Making Test, which enhances the diagnostic performance of the model, is associated with multiple brain regions, particularly the right cortical nuclei and the right fimbria. The hybrid model based on radiomics features and cognitive tests can achieve quantitative diagnosis of CSVD and improve the diagnostic efficiency. Furthermore, the reduced processing capacity due to atrophy of the right cortical nucleus and right fimbria suggests the importance of these regions in improving the diagnostic accuracy of the model.

Microfluidic preparation of monodisperse PLGA-PEG/PLGA microspheres with controllable morphology for drug release.

Monodisperse biodegradable polymer microspheres show broad applications in drug delivery and other fields. In this study, we developed an effective method that combines microfluidics with interfacial instability to prepare monodispersed poly(lactic-co-glycolic acid)-b-polyethylene glycol (PLGA-PEG)/poly(lactic-co-glycolic acid) (PLGA) microspheres with tailored surface morphology. By adjusting the mass ratio of PLGA-PEG to PLGA, the concentration of stabilizers and the type of PLGA, we generated microspheres with various unique folded morphologies, such as "fishtail-like", "lace-like" and "sponge-like" porous structures. Additionally, we demonstrated that risperidone-loaded PLGA-PEG/PLGA microspheres with these folded morphologies significantly enhanced drug release, particularly in the initial stage, by exhibiting a logarithmic release profile. This feature could potentially address the issue of delayed release commonly observed in sustained-release formulations. This study presents a straightforward yet effective approach to construct precisely engineered microspheres offering enhanced control over drug release dynamics.

CASIN exerts anti-aging effects through RPL4 on the skin of naturally aging mice.

Skin aging has been associated with the onset of various skin issues, and recent studies have identified an increase in Cdc42 activity in naturally aging mice. While previous literature has suggested that CASIN, a specific inhibitor of Cdc42 activity, may possess anti-aging properties, its specific effects on the epidermis and dermis, as well as the underlying mechanisms in naturally aging mice, remain unclear. Our study revealed that CASIN demonstrated the ability to increase epidermal and dermal thickness, enhance dermal-epidermal junction, and stimulate collagen and elastic fiber synthesis in 9-, 15-, and 24-month-old C57BL/6 mice in vivo. Moreover, CASIN was found to enhance the proliferation, differentiation, and colony formation and restore the cytoskeletal morphology of primary keratinocytes in naturally aging skin in vitro. Furthermore, the anti-aging properties of CASIN on primary fibroblasts in aging mice were mediated by the ribosomal protein RPL4 using proteomic sequencing, influencing collagen synthesis and cytoskeletal morphology both in vitro and in vivo. Meanwhile, both subcutaneous injection and topical application exhibited anti-aging effects for a duration of 21 days. Additionally, CASIN exhibited anti-inflammatory properties, while reduced expression of RPL4 was associated with increased inflammation in the skin of naturally aging mice. Taken together, our results unveil a novel function of RPL4 in skin aging, providing a foundational basis for future investigations into ribosomal proteins. And CASIN shows promise as a potential anti-aging agent for naturally aging mouse skin, suggesting potential applications in the field.

Microbubble-Enhanced Transdermal Drug Delivery Sonoelectric Patch.

Transdermal drug delivery systems are highly appealing as a convenient drug delivery manner applicable to a wide variety of drugs. While most delivery relies on only passive diffusion and suffers low transdermal efficiencies. Ultrasound motivation promotes drug transdermal penetration but still calls for improvement, because only a thin proportion of the ultrasound energy is applied on the drug delivery patch and most ultrasound energy is wasted in deeper portions of biotissues. In this work, we develop a transdermal patch for enhanced drug delivery. The combination of microsized air pockets and the piezoelectric soft structure enable the conversion of an intended proportion of ultrasound energy into electric energy. The intensified drug flow and synergistic ultrasound pressure and electric field function simultaneously to enhance drug transdermal delivery. The delivery efficacy is related to the power of the ultrasound motivation, the size of the microscopic air pockets, and the chemical structure of the drug molecules. The temperature of the patch within the delivery process remains in the safe range, and the mild temperature elevation causes color changes of the thermochromic patch, used to indicate effective ultrasound-patch matching. A model delivery patch for pain release is constructed, and animal experiments indicate that the drug blood concentrations are 100% higher than the delivery using only ultrasound and even more remarkably enhanced when compared to only electric-field-motivated delivery or static delivery without external motivations.

Research progress on the effects and mechanisms of magnetic field on neurodegenerative diseases.

With the progress of modern science and technology, magnetic therapy technology develops rapidly, and many types of magnetic therapy methods continue to emerge, making magnetic therapy one of the main techniques of physiotherapy. With the continuous development of magnetic field research and clinical applications, magnetic therapy, as a non-invasive brain stimulation therapy technology, has attracted much attention due to its potential in the treatment of motor dysfunction, cognitive impairment and speech disorders in patients with neurodegenerative diseases. However, the role of magnetic fields in the prognosis and treatment of neurodegenerative diseases and their mechanisms remain largely unexplored. In this paper, the therapeutic effect and neuroprotective mechanism of the magnetic field on neurodegenerative diseases are reviewed, and the new magnetic therapy techniques are also summarized. Although the neuroprotective mechanism of magnetic field cannot be fully elaborated, it is helpful to promote the application of magnetic field in neurodegenerative diseases and provide a new theoretical basis for the related magnetic field research in the later period.

Isoliquiritigenin ameliorates abnormal oligodendrocyte development and behavior disorders induced by white matter injury.

Background: White matter injury is a predominant form of brain injury in preterm infants. However, effective drugs for its treatment are currently lacking. Previous studies have shown the neuroprotective effects of Isoliquiritigenin (ISL), but its impact on white matter injury in preterm infants remains poorly understood. Aims: This study aimed to investigate the protective effects of ISL against white matter injury caused by infection in preterm infants using a mouse model of lipopolysaccharide-induced white matter injury, integrating network pharmacology as well as in vivo and in vitro experiments. Methods: This study explores the potential mechanisms of ISL on white matter injury by integrating network pharmacology. Core pathways and biological processes affected by ISL were verified through experiments, and motor coordination, anxiety-like, and depression-like behaviors of mice were evaluated using behavioral experiments. White matter injury was observed using hematoxylin-eosin staining, Luxol Fast Blue staining, and electron microscopy. The development of oligodendrocytes and the activation of microglia in mice were assessed by immunofluorescence. The expression of related proteins was detected by Western blot. Results: We constructed a drug-target network, including 336 targets associated with ISL treatment of white matter injury. The biological process of ISL treatment of white matter injury mainly involves microglial inflammation regulation and myelination. Our findings revealed that ISL reduced early nerve reflex barriers and white matter manifestations in mice, leading to decreased activation of microglia and release of proinflammatory cytokines. Additionally, ISL demonstrated the ability to mitigate impairment in oligodendrocyte development and myelination, ultimately improving behavior disorders in adult mice. Mechanistically, we observed that ISL downregulated HDAC3 expression, promoted histone acetylation, enhanced the expression of H3K27ac, and regulated oligodendrocyte pro-differentiation factors. Conclusion: These findings suggest that ISL can have beneficial effects on white matter injury in preterm infants by alleviating inflammation and promoting oligodendrocyte differentiation.

4D printing of biological macromolecules employing handheld bioprinters for in situ wound healing applications.

In situ bioprinting may be preferred over standard in vitro bioprinting in specific cases when de novo tissues are to be created directly on the appropriate anatomical region in the live organism, employing the body as a bioreactor. So far, few efforts have been made to create in situ tissues that can be safely halted and immobilized during printing in preclinical live animals. However, the technique has to be improved significantly in order to manufacture complex tissues in situ, which may be attainable in the future thanks to multidisciplinary advances in tissue engineering. Thanks to the biological macromolecules, natural and synthetic hydrogels and polymers are among the most used biomaterials in in situ bioprinting procedure. Bioprinters, which encounter multiple challenges, including cross-linking the printed structure, adjusting the rheology parameters, and printing various constructs. The introduction of handheld 3D and 4D bioprinters might potentially overcome the difficulties and problems associated with using traditional bioprinters. Studies showed that this technique could be efficient in wound healing and skin tissue regeneration. This study aims to analyze the benefits and difficulties associated with materials in situ 4D printing via handheld bioprinters.

Optimal Training Positive Sample Size Determination for Deep Learning with a Validation on CBCT Image Caries Recognition.

Objectives: During deep learning model training, it is essential to consider the balance among the effects of sample size, actual resources, and time constraints. Single-arm objective performance criteria (OPC) was proposed to determine the optimal positive sample size for training deep learning models in caries recognition. Methods: An expected sensitivity (PT) of 0.6 and a clinically acceptable sensitivity (P0) of 0.5 were applied to the single-arm OPC calculation formula, yielding an optimal training set comprising 263 carious teeth. U-Net, YOLOv5n, and CariesDetectNet were trained and validated using clinically self-collected cone-beam computed tomography (CBCT) images that included varying quantities of carious teeth. To assess performance, an additional dataset was utilized to evaluate the accuracy of caries detection by both the models and two dental radiologists. Results: When the number of carious teeth reached approximately 250, the models reached the optimal performance levels. U-Net demonstrated superior performance, achieving accuracy, sensitivity, specificity, F1-Score, and Dice similarity coefficients of 0.9929, 0.9307, 0.9989, 0.9590, and 0.9435, respectively. The three models exhibited greater accuracy in caries recognition compared to dental radiologists. Conclusions: This study demonstrated that the positive sample size of CBCT images containing caries was predictable and could be calculated using single-arm OPC.