Systematic Analysis of Zinc Finger-Homeodomain Transcription Factors (ZF-HDs) in Barley (Hordeum vulgare L.).

Zinc finger-homeodomain transcription factors (ZF-HDs) are pivotal in regulating plant growth, development, and diverse stress responses. In this study, we found 8 ZF-HD genes in barley genome. Theses eight HvZF-HD genes were located on five chromosomes, and classified into ZHD and MIF subfamily. The collinearity, gene structure, conserved motif, and cis-elements of HvZF-HD genes were also analyzed. Real-time PCR results suggested that the expression of HvZF-HD4, HvZF-HD6, HvZF-HD7 and HvZF-HD8 were up-regulated after hormones (ABA, GA3 and MeJA) or PEG treatments, especially HvZF-HD6 was significantly induced. These results provide useful information of ZF-HD genes to future study aimed at barley breeding.

A study on the performance, structure, composition, and release behavior changes of polybutylene adipate terephthalic acid (PBAT) film during food contact.

Polybutylene adipate terephthalic acid (PBAT) is an emerging biodegradable material in food packaging. However, concerns have been raised regarding the potential hazards it could pose to food safety. In this study, the changes of PBAT films during food contact and the release of small molecules were inestigated by a multiscale approach. On a macro-scale, the surface roughness of the films increased with the reduction in the concentration of food simulants and the increase in contact temperatures, especially after immersion in acidic food environments. On a micro-scale, the crystallinity (Xc) and degradation indexes (DI) of the films increased by 5.7-61.2% and 7.8-48.6%, respectively, which led to a decrease in thermal stability. On a scale approaching the molecular level, 2,4-di-tert-butylphenol (2,4-DTBP) was detected by gas chromatography-mass spectrometry (GC-MS/MS) with the highest migration content, and the release behavior of 2,4-DTBP was further investigated by migration kinetics. In addition, terephthalic acid (TPA), a hydrolysis product of PBAT, was detected in acidic food environments by liquid chromatography-mass spectrometry (LC-MS/MS). The results of this study could provide practical guidance and assistance to promote sustainable development in the field of food packaging.

Roles of Sleep Quality, Self-Efficacy, and Coping Style in the Frailty of Community-Dwelling Older Adults: A Cross-Sectional Study.

OBJECTIVES: Although the association between sleep disorders and frailty has been well established, little is known about the cognitive appraisal mechanisms underlying this association. Building on the transactional theory of stress and coping, this study explores the role of self-efficacy and coping style in the association between sleep quality and frailty among community-dwelling older adults. METHODS: In this cross-sectional study, 585 community-dwelling older adults were investigated using the Pittsburgh Sleep Quality Index, Tilburg Frailty Indicator, General Self-Efficacy Scale, and Simplified Coping Style Questionnaire. Descriptive statistics and hierarchical regression were performed. A moderated mediation model was established using the PROCESS macro. RESULTS: Poor sleep quality affects frailty directly (B = 0.193, p < .01) and indirectly via self-efficacy (B = 0.063, p < .01). The negative impact of poor sleep on frailty through self-efficacy was moderated by both positive and negative coping style (index = -0.007). The moderating effect was stronger when participants' negative coping tendencies increased. CONCLUSIONS: Poor sleep quality indirectly influences frailty by modifying self-efficacy. Effective coping strategies can help attenuate this association. CLINICAL IMPLICATIONS: Timely sleep assessment and tailored strategies such as psychoeducational programs and targeted coping skills training may be beneficial for preventing frailty in older adults.

Constructing network structures to enhance stability and target deposition of selenium nanoparticles via amphiphilic sodium alginate and alkyl glycosides.

Dietary selenium (Se) supplementation has recently received increasing attention; however, Selenium nanoparticles (SeNPs) exhibit poor stability and tend to aggregate in aqueous solution. Therefore, enhancing the stability of SeNPs and their effective delivery to plants remain challenging. In this study, sodium alginate (SA) and lysozyme (LZ) were reacted via the wet-heat Maillard reaction (MR) to obtain amphiphilic alginate-based polymers (SA-LZ). Alkyl glycosides (APG) were introduced into SA-LZ to enhance the deposition of SeNPs in leaves. Thus, a renewable and degradable polysaccharide-based material (SA-LZ/APG) loaded with Se formed an amphiphilic alginate-based-based shell with a Se core. Notably, the encapsulation of SeNPs into a polysaccharide base (SA-LZ/APG) increased the stabilization of SeNPs and resulted in orange-red, zero-valent, monoclinic and spherical SeNPs with a mean diameter of approximately 43.0 nm. In addition, SA-LZ/APG-SeNPs reduced the interfacial tension of plant leaves and increased the Se content of plants compared to the blank group. In vitro studies have reported that SA-LZ/APG-SeNPs and SA-LZ-SeNPs have significantly better clearance of DDPH and ABTS than that of APG-SeNPs. Thus, we believe that SA-LZ/APG is a promising smart delivery system that can synergistically enhance the stability of SeNPs in aqueous solutions and improve the bioavailability of Se nutrient solutions.

Oral abrocitinib in the treatment of granuloma annulare: a case report.

Aim: To evaluate the therapeutic efficacy and safety of JAK inhibitor abrocitinib in patients with localized granuloma annulare (GA) and to review the available cases documented in English.Methods: We presented a patient who had a persistent, localized granuloma anulare (GA) for one year and did not respond to traditional therapies. This patient was treated with oral abrocitinib at a dosage of 150 mg daily.Results: After 6 weeks of treatment with abrocitinib, the patient exhibited notable symptom improvement with no new lesions. No adverse events or recurrences were reported during the 5-month follow-up period.Conclusions: Abrocitinib may be a promising and safe treatment option for patients with localized GA who do not respond to traditional therapies.

Abrocitinib as a Novel Treatment for Multiple Skin Disorders: 3 Case Reports and a Scoping Review.

Janus kinase (JAK) inhibitors are increasingly being used in dermatology due to their broad potential in managing both local and systemic inflammation. More recently, abrocitinib, an oral JAK 1 inhibitor, has shown promising clinical efficacy in the treatment of various skin disorders beyond moderate to severe atopic dermatitis (AD). We firstly presented three cases, each with diagnosis of pyoderma gangrenosum (PG), livedoid vasculopathy (LV), or hidradenitis suppurativa (HS), and conducted a comprehensive scoping review of the available literature on the use of abrocitinib in the treatment of diverse skin disorders. We summarized a total of 16 skin disorders, including our cases. The results indicated that abrocitinib, whether used as monotherapy or in combination with other treatments, was effective and well-tolerated in these disorders. These findings expanded the range of diseases for which abrocitinib may serve as an alternative therapeutic choice.

Discovery of LWY713 as a potent and selective FLT3 PROTAC degrader with in vivo activity against acute myeloid leukemia.

Fms-like tyrosine kinase 3 (FLT3) has been validated as a therapeutic target for acute myeloid leukemia (AML). While a number of FLT3 kinase inhibitors have been approved for AML treatment, the clinical data revealed that they cannot achieve complete and sustained suppression of FLT3 signaling at the tolerated dose. Here we report a series of new, potent and selective FLT3 proteolysis targeting chimera degraders. The optimal compound LWY713 potently induced the degradation of FLT3 with a DC50 value of 0.64 nM and a Dmax value of 94.8% in AML MV4-11 cells with FLT3-internal tandem duplication (ITD) mutation. Mechanistic studies demonstrated that LWY713 selectively induced FLT3 degradation in a cereblon- and proteasome-dependent manner. LWY713 potently inhibited FLT3 signaling, suppressed cell proliferation, and induced cell G0/G1-phase arrest and apoptosis in MV4-11 cells. Importantly, LWY713 displayed potent in vivo antitumor activity in MV4-11 xenograft models.

The role of visual rating and automated brain volumetry in early detection and differential diagnosis of Alzheimer's disease.

BACKGROUND: Medial temporal lobe atrophy (MTA) is a diagnostic marker for mild cognitive impairment (MCI) and Alzheimer's disease (AD), but the accuracy of quantitative MTA (QMTA) in diagnosing early AD is unclear. This study aimed to investigate the accuracy of QMTA and its related components (inferior lateral ventricle [ILV] and hippocampus) with MTA in the early diagnosis of MCI and AD. METHODS: This study included four groups: normal (NC), MCI stable (MCIs), MCI converted to AD (MCIs), and mild AD (M-AD) groups. Magnetic resonance image analysis software was used to quantify the hippocampus, ILV, and QMTA. MTA was rated by two experienced neurologists. Receiver operating characteristic area under the curve (AUC) analysis was performed to compare their capability in differentiating AD from NC and MCI, and optimal thresholds were determined using the Youden index. RESULTS: QMTA distinguished M-AD from NC and MCI with higher diagnostic accuracy than MTA, hippocampus, and ILV (AUCNC = 0.976, AUCMCI = 0.836, AUCMCIs = 0.894, AUCMCIc = 0.730). The diagnostic accuracy of QMTA was superior to that of MTA, the hippocampus, and ILV in differentiating MCI from AD. The diagnostic accuracy of QMTA was found to remain the best across age, sex, and pathological subgroups analyzed. The sensitivity (92.45%) and specificity (90.64%) were higher in this study when a cutoff value of 0.635 was chosen for QMTA. CONCLUSIONS: QMTA may be a better choice than the MTA scale or the associated quantitative components alone in identifying AD patients and MCI individuals with higher progression risk.

Identification of Whirly transcription factors in Triticeae species and functional analysis of TaWHY1-7D in response to osmotic stress.

Osmotic stress poses a threat to the production and quality of crops. Whirly transcription factors have been investigated to enhance stress tolerance. In this study, a total of 18 Whirly genes were identified from six Triticeae species, which were classified into Whirly1 and Whirly2. The exon-intron structure, conserved motif, chromosomal location, collinearity, and regulatory network of Whirly genes were also analyzed. Real-time PCR results indicated that TaWHY1 genes exhibited higher expression levels in leaf sheaths and leaves during the seedling stage, while TaWHY2 genes were predominantly expressed in roots. Under PEG stress, the expression levels of TaWHY1-7A, TaWHY2-6A, TaWHY2-6B, and TaWHY2-6D were increased, TaWHY1-7D was reduced, and TaWHY1-4A had no significant change. All TaWHY genes were significantly up-regulated in response to NaCl stress treatment. In addition, TaWHY1-7A and TaWHY1-7D mainly enhanced the tolerance to oxidative stress in yeast cells. TaWHY2s mainly improved NaCl stress tolerance and were sensitive to oxidative stress in yeast cells. All TaWHYs slightly improved the yeast tolerance to d-sorbitol stress. The heterologous expression of TaWHY1-7D greatly improved drought and salt tolerance in transgenic Arabidopsis. In conclusion, these results provide the foundation for further functional study of Whirly genes aimed at improving osmotic stress tolerance in wheat.

New insights into the degradation mechanism and risk assessment of HFPO-DA by advanced oxidation processes based on activated persulfate in aqueous solutions.

Hexafluoropropylene oxide dimer acid (HFPO-DA) is widely used as a substitute for perfluorooctanoic acid (PFOA). HFPO-DA exhibits high water solubility and low adsorption potential, conferring significant fluidity in aquatic environments. Given that the toxicity of HFPO-DA is similar to PFOA, it is necessary to control its content in aquatic environments. Electrochemical and thermally-activated persulfates have been successfully used to degrade HFPO-DA, but UV-activated persulfates cannot degrade the compound. Given that research on degradation mechanisms is still incomplete and lacks kinetic research, the mechanism and kinetic calculations of oxidative degradation were studied in detail using DFT calculations. And the toxicity of HFPO-DA degradation intermediates and products was evaluated to reveal the feasibility of using advanced oxidation process (AOP) technology based on persulfate to degrade HFPO-DA in wastewater. The results showed that the committed step of HFPO-DA degradation was initiated by the electron transfer reaction of SO4•- radicals. This reaction is not spontaneous at room temperature and requires sufficient electrical or thermal energy to be absorbed from the external environment. The perfluoroalcohol produced during this reaction can subsequently undergo four possible reactions: H atom abstraction from alcohol groups by an OH radical; H atom abstraction by SO4•-; direct HF removal; and HF removal with water as the catalyst. The final degradation products of HFPO-DA mainly include CO2, CF3CF2COOH, CF3COOH, FCOOH and HF, which has been identified through previous experimental analysis. Ecotoxicity assessment indicates that degradation does not produce highly toxic intermediates, and that the final products are non-toxic, supporting the feasibility of persulfate-based AOP technologies.

Sanguinarine, similar to the MICs of spectinomycin, exhibits good anti-Neisseria gonorrhoeae activity in vitro.

The increasing antibiotic resistance of Neisseria gonorrhoeae (NG) is an urgent need to explore new and effective drugs. The antibacterial activities of spectinomycin and sanguinarine against 117 clinical NG isolates and time-kill curve of sanguinarine were evaluated. Almost all isolates were resistant to penicillin (91.5%) and ciprofloxacin (96.5%), 8.5% showed resistance to azithromycin, 10.3% and 10.3% had decreased susceptibility/resistance to ceftriaxone and cefixime, respectively, whereas 100% were susceptible to spectinomycin. The minimum inhibitory concentration (MIC) ranges, MIC50, MIC90 and MICmean values of sanguinarine were 2-64 µg/ml, 16 µg/ml, 32 µg/ml and 16.9 µg/ml, respectively, and time-kill curve showed killing of bacteria in a dose-dependent manner during the assay time of 6h, very similar to spectinomycin. Sanguinarine has great potential as an effective and novel anti-NG agent.

Stability and spectroscopic analysis of CsPbBr3 quantum dots modified with 2-n-octyl-1-dodecanol.

Due to their excellent optical and electrical properties, all-inorganic metal halide perovskite CsPbBr3 quantum dots (QDs) have become one of the most promising materials in the field of optoelectronics during recent years. However, the stability of CsPbBr3 QDs limits their practical application and further development to a certain extent. In order to improve their stability, CsPbBr3 QDs were modified with 2-n-octyl-1-dodecanol for the first time in this paper. The 2-n-octyl-1-dodecanol-modified CsPbBr3 QDs were prepared by the ligand-assisted reprecipitation (LARP) method at room temperature in an air environment. Then the stability of the samples was tested at different temperatures and humidity. When the humidity was 80%, the photoluminescence (PL) intensity of both unmodified and modified CsPbBr3 QDs increased to different degrees because the appropriate amount of water changed the crystallization environment. The PL intensity of the modified QDs increased, and the peak positions were basically not shifted, proving that they did not agglomerate. Thermal stability test results showed that the PL intensity of the 2-n-octyl-1-dodecanol-modified QDs could still maintain 65% of the original intensity at 90 °C, which is 4.6 times that of the unmodified CsPbBr3 QDs. Experimental results show that the stability of CsPbBr3 QDs is significantly improved after 2-n-octyl-1-dodecanol modification, which demonstrates the excellent surface passivation of CsPbBr3 QDs by 2-n-octyl-1-dodecanol.

Factors associated with spontaneous miscarriage risk in IUI treatment: A retrospectively cohort of 31,933 cycles.

To determine the factors associated with intrauterine insemination (IUI) miscarriages and reduce the IUI miscarriage rate, a retrospective study was performed by reviewing 31,933 IUI cycles from 2006 to 2018. The overall there were 14.50% clinical pregnancies, and 16.74% miscarriages. Logistic regression revealed the following three predictive variables: females aged ≥ 35 years (odds ratio [OR] = 2.131; p < 0.001), spontaneous miscarriage history (OR = 1.513; p = 0.005), and ovarian stimulation schemes such as clomiphene citrate (CC) (OR = 1.459; p = 0.003). The natural cycle led to a lower miscarriage rate for patients without spontaneous miscarriage history both for those over 35 years old (OR = 0.402; p = 0.034) and for those under 35 years old (OR = 0.806; p = 0.017). Gonadotropin (Gn) showed the lowest miscarriage rate for patients without abortion history, though no significant differences were found. Patients under 35 with a history of miscarriage were protected from miscarriage by using CC and Gn together (OR = 0.516; p = 0.032). No significant differences were found between various ovarian protocols when patients with abortion history were aged ≥ 35 years (p = 0.606). CC + Gn showed the lowest miscarriage rate. In conclusion, the natural cycle could be suggested for infertility couples to minimize abortion risk. When ovarian induction is required, CC + Gn had the lowest miscarriage rate for women with a history of spontaneous miscarriage while Gn is more successful for individuals without such a history.

Central Aortic Blood Pressure Waveform Estimation with a Temporal Convolutional Network.

A novel temporal convolutional network (TCN) model is utilized to reconstruct the central aortic blood pressure (aBP) waveform from the radial blood pressure waveform. The method does not need manual feature extraction as traditional transfer function approaches. The data acquired by the SphygmoCor CVMS device in 1,032 participants as a measured database and a public database of 4,374 virtual healthy subjects were used to compare the accuracy and computational cost of the TCN model with the published convolutional neural network and bi-directional long short-term memory (CNN-BiLSTM) model. The TCN model was compared with CNN-BiLSTM in the root mean square error (RMSE). The TCN model generally outperformed the existing CNN-BiLSTM model in terms of accuracy and computational cost. For the measured and public databases, the RMSE of the waveform using the TCN model was 0.55 ± 0.40 mmHg and 0.84 ± 0.29 mmHg, respectively. The training time of the TCN model was 9.63 min and 25.51 min for the entire training set; the average test time was around 1.79 ms and 8.58 ms per test pulse signal from the measured and public databases, respectively. The TCN model is accurate and fast for processing long input signals, and provides a novel method for measuring the aBP waveform. This method may contribute to the early monitoring and prevention of cardiovascular disease.

Wave reflection quantification analysis and personalized flow wave estimation based on the central aortic pressure waveform.

Pulse wave reflections reflect cardiac afterload and perfusion, which yield valid indicators for monitoring cardiovascular status. Accurate quantification of pressure wave reflections requires the measurement of aortic flow wave. However, direct flow measurement involves extra equipment and well-trained operator. In this study, the personalized aortic flow waveform was estimated from the individual central aortic pressure waveform (CAPW) based on pressure-flow relations. The separated forward and backward pressure waves were used to calculate wave reflection indices such as reflection index (RI) and reflection magnitude (RM), as well as the central aortic pulse transit time (PTT). The effectiveness and feasibility of the method were validated by a set of clinical data (13 participants) and the Nektar1D Pulse Wave Database (4,374 subjects). The performance of the proposed personalized flow waveform method was compared with the traditional triangular flow waveform method and the recently proposed lognormal flow waveform method by statistical analyses. Results show that the root mean square error calculated by the personalized flow waveform approach is smaller than that of the typical triangular and lognormal flow methods, and the correlation coefficient with the measured flow waveform is higher. The estimated personalized flow waveform based on the characteristics of the CAPW can estimate wave reflection indices more accurately than the other two methods. The proposed personalized flow waveform method can be potentially used as a convenient alternative for the measurement of aortic flow waveform.

Tofacitinib combined with melanocyte protector α-MSH to treat vitiligo through dextran based hydrogel microneedles.

Vitiligo can cause serious damage to the appearance of patients and affect physical and mental health, but there is currently no simple and effective treatment. According to the theory of autoimmune disorder, the separable hydrogel microneedles delivering alpha-melanocyte-stimulating hormone (α-MSH) and tofacitinib were designed to treat vitiligo. This hydrogel microneedles were formed by dextran methacrylate (DexMA) and cyclodextrin-adamantane based host-guest supramolecules (HGSM) through CC double bond polymerization and host-guest assembly. The microneedle tips formed by the double cross-linked hydrogel can pierce the stratum corneum and deliver melanocyte protector α-MSH and JAK inhibitor tofacitinib directly to the epidermis and dermis. Under the treatment of α-MSH/tofacitinib microneedles, massive deposition of melanin in epidermis and hair follicles significantly accelerated skin and hair pigmentation.

Assessing plant uptake of organic contaminants by food crops tomato, wheat, and corn through sap concentration factor.

This study investigated uptake of two organic compounds including hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) and exogenous caffeine by tomato (Solanum lycopersicum L.), corn (Zea mays L.), and wheat (Triticum aestivum L.). The plants were grown in a growth chamber under recommended conditions and then were exposed to these compounds for 19 days. The uptake of the compounds was measured by sap concentration factor. The plant samples (stem transpiration stream) and solution in the exposure media were taken and analyzed by high performance liquid chromatography-tandem mass spectrometry. The plant stem samples were analyzed after a freeze-thaw centrifugation process. The average sap concentration factor for the RDX by tomato, wheat, and corn was 0.71, 0.67, and 0.65. The average sap concentration factor for the exogenous caffeine by tomato, wheat, and corn was 0.72, 0.50, and 0.34. These relatively high sap concentration factor values were expected as available predictive models offer high sap concentration factor values for moderately hydrophobic and hydrophilic compounds. The generated sap concentration factor values for the RDX and exogenous caffeine are important for improving the accuracy of previously developed machine learning models predicting the uptake and translocation of emerging contaminants.

The uptake of two organic compounds (RDX and exogenous caffeine) was examined in three crop plants (corn, wheat, and tomato). There have not been any uptake studies on exogenous caffeine and also we do not have good data for the uptake of RDX by these three crop plants. The estimated sap concentration factor from these experiments fills the gap in the data for developing predictive models for uptake of emerging contaminants. A novel rapid freeze­thaw/centrifugation extraction method followed by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) was used to analyze the samples.

Circ_0061140 Contributes to Ovarian Cancer Progression by Targeting miR-761/LETM1 Signaling.

Previous studies have suggested that circular RNAs (circRNAs) play important regulatory roles in cancer progression. Previous evidence exhibited the aberrant upregulation of circ_0061140 in ovarian cancer. However, the detailed role of circ_0061140 in ovarian cancer progression and its associated mechanism remain largely unknown and need further exploration. The expression of circ_0061140, microRNA-761 (miR-761) and leucine zipper and EF-hand containing transmembrane protein 1 (LETM1) was checked by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) or western blot. Cell Counting Kit-8 (CCK8), colony formation, 5-Ethynyl-2'-deoxyuridine (EdU), flow cytometry, wound healing, transwell, and tube formation assays were conducted to assess cell functions. Dual-luciferase reporter assay and RNA immunoprecipitation (RIP) assay were performed to confirm the interaction between miR-761 and circ_0061140 or LETM1. Xenograft tumor model was established to analyze the role of circ_0061140 in tumor growth in vivo. Circ_0061140 expression was notably up-regulated in ovarian cancer tissues and cell lines. Circ_0061140 knockdown suppressed the proliferation, migration, invasion, and angiogenesis and triggered the apoptosis of ovarian cancer cells. Circ_0061140 directly interacted with miR-761, and circ_0061140 silencing-mediated anti-tumor effects were partly abolished by miR-761 knockdown in ovarian cancer cells. LETM1 was a direct target of miR-761, and LETM1 overexpression partly counteracted miR-761-induced anti-tumor effects. Circ_0061140 could up-regulate LETM1 expression by sponging miR-761. Circ_0061140 knockdown significantly suppressed xenograft tumor growth in vivo. Circ_0061140 aggravated ovarian cancer progression through miR-761-dependent regulation of LETM1.

The Impact of Environmental Regulation on Agricultural Productivity: From the Perspective of Digital Transformation.

China's goal of becoming a strong agricultural country cannot be achieved without the modernization and digital transformation of the agricultural sector. Presently, China's agriculture has ushered in the era of digital economy transformation. The digital transformation of agriculture has played a huge role in improving agricultural productivity, promoting sustainable development of China's agricultural economy, and achieving sustainable development goals. The deep integration of digital economy and agricultural economy has become an important issue of The Times. This study uses a two-way fixed-effects model and an instrumental variable method to examine the impact of environmental regulation on agricultural total factor productivity. Using the method of mechanism analysis, the conduction path of improving agricultural productivity under the means of environmental regulation is discussed. Therefore, the visualization analysis results based on the panel data of Chinese agricultural enterprises from 2011 to 2019 show that the distribution of digital transformation and productivity level of enterprises is uneven and tends to be stable in space. The empirical analysis results show that there is a direct and significant positive relationship between voluntary environmental regulation and agricultural total factor productivity. The results of mechanism analysis show that, under the means of environmental regulation, digital transformation plays an indirect role in improving agricultural productivity. On the basis of enriching and deepening the theoretical extension of the "Porter Hypothesis", this study subtly incorporates environmental regulation, digital transformation, and agricultural productivity into a unified framework, expanding existing research.