In2O3/Bi2S3 S-scheme Heterojunction-Driven Molecularly Imprinted Photoelectrochemical Sensor for Ultrasensitive Detection of Florfenicol.

Florfenicol (FF) raises significant human health and environmental concerns due to its toxicity to the hematology system and the potential spread of antibiotic-resistant genes. Here, a highly sensitive molecularly imprinted photoelectrochemical (PEC) sensor, featuring an In2O3/Bi2S3 S-scheme heterojunction, is proposed to detect FF without an external voltage supply. Compared with conventional II-type heterojunctions, S-scheme heterojunctions efficiently promote carrier separation and enhance the redox capability of the photocatalytic system. This allows more dissolved O2 and H2O molecules to participate in the redox reaction, resulting in an amplified and stabilized photocurrent response. The electron transfer in the S-scheme heterojunction is confirmed via electron spin resonance (ESR). With the molecular imprinting technique, this PEC platform exhibits exceptional selectivity, wide linear range (1.0 × 10-4-1.0 × 104 ng mL-1), low detection limit (6.4 × 10-5 ng mL-1), and applicability in real milk and chicken samples. This work not only showcases a PEC platform for accurately and portably detecting drugs but also proposes a viable approach for designing S-scheme heterojunctions in sensing analysis.

Triple-Mode Sensor Coupled by Photoelectrochemical, Electrochromic, and Spectral Signals for Sensitive Visualized Detection of Nonylphenol.

Conventional photoelectrochemical (PEC) biosensors suffer from the difficulty of visualizing rapid detection and limited accuracy due to a single-signal output. Here, we develop a PEC, electrochromic (EC), and spectral (ST) triple-mode platform for the sensitive visualized detection of nonylphenol (NP). First, the reasonably stepped Fermi energy level arrangement between the defective TiO2 anode and MoO3 cathode enables a remarkable photocurrent response (Mode 1). Then, MoO3 itself is a widely used EC candidate, which can react with free Li-ions to form a LixMoO3 intermediate, and its color will change from white to blue accordingly (Mode 2). More importantly, MoO3 is also a Li-ion host and the potential of LixMoO3 depends on the inserted Li-ion quantity deduced by spectral analysis on residual Li-ions in the electrolyte (Mode 3). The EC signal endows fast visual detection, and triple-mode cross-validation improves reliability and accuracy. As a result, this PEC-EC-ST triple-mode molecularly imprinted sensor has a wide linear range (1-5000 µg L-1), a low detection limit (0.18 µg L-1), selectivity, stability, reproducibility, and actual sample detection capability. This innovative multimode platform not only improves detection reliability but also broadens applications of electrochromic/energy storage materials in biosensors.

Serum uric acid is independently associated with hypertension in patients with polymyositis and dermatomyositis.

Serum uric acid (UA), as an antioxidant, has been associated with hypertension in the general population. Hypertension is highly prevalent in patients with polymyositis and dermatomyositis (PM/DM). Owning elevated levels of reactive oxygen species, patients with PM/DM have lower concentrations of UA in comparison with healthy people. We explored a potential association between UA levels and hypertension in PM/DM and evaluated whether this association is independent of hypertension risk factors, PM/DM characteristics and relevant drugs. A total of 472 PM/DM patients were assessed. UA and related laboratory data were measured. Demographic, hypertension-related factors, PM/DM characteristics and drug use were assessed as potential covariates. Results were analyzed using logistic models to test the independence of the association between UA and hypertension. UA levels were higher in hypertension subjects compared to non-hypertensive PM/DM patients [284.70 (239.93-357.38) vs 264.00(222.50-322.75), p = .017]. When adjusted for hypertension risk factors, PM/DM characteristics and drugs, the odds of being a hypertensive PM/DM patient per 1 µmol/L UA increase were significantly increased: odds ratio = 1.473 (95% confidence interval:1.063-2.042, p = .020). This cross-sectional study suggests that UA levels are independently associated with hypertension in PM/DM patients.

Integration of eQTL and machine learning to dissect causal genes with pleiotropic effects in genetic regulation networks of seed cotton yield.

The dissection of a gene regulatory network (GRN) that complements the genome-wide association study (GWAS) locus and the crosstalk underlying multiple agronomical traits remains a major challenge. In this study, we generate 558 transcriptional profiles of lint-bearing ovules at one day post-anthesis from a selective core cotton germplasm, from which 12,207 expression quantitative trait loci (eQTLs) are identified. Sixty-six known phenotypic GWAS loci are colocalized with 1,090 eQTLs, forming 38 functional GRNs associated predominantly with seed yield. Of the eGenes, 34 exhibit pleiotropic effects. Combining the eQTLs within the seed yield GRNs significantly increases the portion of narrow-sense heritability. The extreme gradient boosting (XGBoost) machine learning approach is applied to predict seed cotton yield phenotypes on the basis of gene expression. Top-ranking eGenes (NF-YB3, FLA2, and GRDP1) derived with pleiotropic effects on yield traits are validated, along with their potential roles by correlation analysis, domestication selection analysis, and transgenic plants.

Asymmetric variation in DNA methylation during domestication and de-domestication of rice.

Hundreds of plant species have been domesticated to feed human civilization, while some crops have undergone de-domestication into agricultural weeds, threatening global food security. To understand the genetic and epigenetic basis of crop domestication and de-domestication, we generated DNA methylomes from 95 accessions of wild rice (Oryza rufipogon L.), cultivated rice (Oryza sativa L.) and weedy rice (O. sativa f. spontanea). We detected a significant decrease in DNA methylation over the course of rice domestication but observed an unexpected increase in DNA methylation through de-domestication. Notably, DNA methylation changes occurred in distinct genomic regions for these 2 opposite stages. Variation in DNA methylation altered the expression of nearby and distal genes through affecting chromatin accessibility, histone modifications, transcription factor binding, and the formation of chromatin loops, which may contribute to morphological changes during domestication and de-domestication of rice. These insights into population epigenomics underlying rice domestication and de-domestication provide resources and tools for epigenetic breeding and sustainable agriculture.

Self-powered molecular imprinted photoelectrochemical sensing platform of sialic acid employing WO3/Bi2S3 photoanode and CuInS2 photocathode.

A dual-photoelectrode molecular imprinted photoelectrochemical (PEC) sensor is first built for the determination of sialic acid (SA) without additional energy supply. Specifically, WO3/Bi2S3 heterojunction behaves as a photoanode to provide amplified and stable photocurrent for the PEC sensing platform, which is attributed to the matched energy levels of WO3 and Bi2S3 promoting the electron transfer and improving photoelectric conversion properties. CuInS2 micro-flowers functionalized by molecularly imprinted polymers (MIPs) are served as photocathode to recognize SA, avoiding the deficiency of high production cost and poor stability from biological enzymes, aptamers, or antigen-antibodies. The inherent deviation between the Fermi level of the photoanode and the photocathode guarantees a spontaneous power supply for the PEC system. Benefiting from the photoanode and recognition elements, the as-fabricated PEC sensing platform has a strong anti-interference ability and high selectivity. Moreover, the PEC sensor displays a wide linear range of 1 nM-100 µM and a low detection limit of 7.1 × 10-10 M (S/N = 3) based on the relationship between photocurrent signal and SA concentration. Accordingly, this research provides a new and valuable approach to detecting various molecules.

An inverse causal association between genetically predicted vitamin D and chronic obstructive pulmonary disease risk.

Aim: Observational studies have reported that levels of vitamin D were associated with the incidence of chronic obstructive pulmonary disease (COPD), but the relationship between them may have been confounded in previous studies. In this study, we aimed to determine the relationship between the levels of 25-hydroxyvitamin D (25OHD) and the risk of COPD by two-sample Mendelian randomization (MR) analysis. Methods: Summary statistics for 25OHD and COPD in this study were obtained from the EBI (n = 496,946) consortium and Finn (n = 187,754) consortium. MR was adopted to explore the effect of the genetically predicted levels of 25OHD on the risk of COPD. Based on three assumptions of MR analysis, inverse variance weighting was used as the main analysis. To make our results more robust and reliable, MR Egger's intercept test, Cochran's Q test, funnel plot, and "leave-one-out" sensitivity analysis were used to assess the potential pleiotropy and heterogeneity in this study. Then, colocalization analysis and MR Steiger approaches were used to estimate the possible directions of estimates between them. Finally, we analyzed the causal associations between the four core genes (DHCR7, GC, CYP2R1, and CYP24A1) of vitamin D and the levels of 25OHD or the risk of COPD. Results: Our results showed that each 1 standard deviation (SD) increase in the genetically predicted 25OHD level was associated with a 57.2% lower relative risk of COPD [odds ratio (OR): 0.428, 95% Cl: 0.279-0.657, p = 1.041 × 10-4], and the above association was also verified by maximum likelihood (OR: 0.427, 95% Cl: 0.277-0.657, p = 1.084 × 10-4), MR-Egger (OR: 0.271, 95% CI: 0.176-0.416, p = 2.466 × 10-4), MR-PRESSO (OR: 0.428, 95% Cl: 0.281-0.652, p = 1.421 × 10-4) and MR-RAPS (OR: 0.457, 95% Cl: 0.293-0.712, p = 5.450 × 10-4). Furthermore, colocalization analyses (rs3829251, PP.H4 = 0.99) and MR Steiger ("TRUE") also showed a reverse association between them. Besides, the core genes of vitamin D also showed similar results except for CYP24A1. Conclusion: Our findings provide evidence for a reverse association between genetically predicted 25OHD levels and COPD risk. Taking measures to supplement 25OHD may help reduce the incidence of COPD.

Subclinical atherosclerosis in primary Sjögren's syndrome: comparable risk with diabetes mellitus.

OBJECTIVES: It has been found that the risk of subclinical atherosclerosis in some connective tissue diseases (CTDs) was equivalent to type 2 diabetes mellitus (T2DM). There is no clinical study focusing on the differences of subclinical atherosclerosis between primary Sjögren's syndrome (pSS) and T2DM. Our aim is to investigate the prevalence of subclinical atherosclerosis in pSS patients, compare the differences in subclinical atherosclerosis between pSS and T2DM patients, and determine the risk factors of subclinical atherosclerosis. METHOD: A retrospective case-control study of 96 patients with pSS, 96 age- and sex-matched T2DM patients and healthy individuals underwent evaluation, including clinical data and carotid ultrasound examination. Univariate and multivariate models were used to explore the related factors of carotid intima-media thickness (IMT) and carotid plaque. RESULTS: Increased IMT scores were detected in patients with pSS and T2DM compared to controls. The percentages of carotid IMT were detected in 91.7% of pSS and 93.8% of T2DM patients versus 81.3% in the controls. Carotid plaques were detected in 82.3%, 82.3% and 66.7% of pSS, T2DM, and controls, respectively. Age and the presence of pSS and T2DM emerged as risk factors for IMT (adjusted OR = 1.25, 4.40, and 9.92, respectively). In addition, age, total cholesterol, and the presence of pSS and T2DM emerged as risk factors for carotid plaque (adjusted OR = 1.14, 1.50, 4.18, and 3.79, respectively). CONCLUSIONS: The prevalence of subclinical atherosclerosis in pSS patients was increased, which was comparable to that in T2DM patients. The presence of pSS is associated with subclinical atherosclerosis. Key Points • The prevalence of subclinical atherosclerosis is higher in primary Sjögren' s syndrome. • The risk of subclinical atherosclerosis is similar in primary Sjögren's syndrome and diabetes mellitus patients. • Advanced age was an independent predictor of carotid IMT and plaque formation in primary Sjögren's syndrome. • Primary Sjögren's syndrome and diabetes mellitus are associated with atherosclerosis.

A self-powered photoelectrochemical cathodic molecular imprinting sensor based on Au@TiO2 nanorods photoanode and Cu2O photocathode for sensitive detection of sarcosine.

Quantitative determination of sarcosine (SAR) in biological liquids is of great importance, as SAR has been recently suggested as a promising biomarker for prostate cancer diagnostics. Herein, a self-powered photoelectrochemical (PEC) molecular imprinted sensor integrated with photoanode (Au@TiO2 nanorods) and photocathode (Cu2O) is proposed for the first time towards the specific and sensitive detection of SAR. With the benefits of strong photocurrent driving force attributed to a large inherent deviation between the Fermi levels of photoanode and photocathode in this system, the photogenerated electrons of Au@TiO2 can rapidly transferred along the outer circuit and attracted by the holes in the valence band of the photocathode, forming a self-powered PEC system and improve the photocurrent of the cathode. Under the optimal conditions, the constructed cathode imprinted sensor has a linear range of 10 nM - 10 µM, and the limitation of detection is 0.19 nM. This work proved that the PEC sensing platform has great potential in the field of miniaturized biosensing without external power supply.

A dual-signal electrochemiluminescence immunosensor for high-sensitivity detection of acute myocardial infarction biomarker.

Based on two different types of luminescence systems (Ru﹡(bpy)32+/TPA and SnO2 NFs/K2S2O8), a new type of electrochemiluminescence (ECL) immunosensor was prepared, which realized the detection of acute myocardial infarction biomarker cTnI. In this strategy, Ru(bpy)32+, above all, was immobilized on the NH2-MIL-125 as a capture probe. Subsequently, cTnI and SnO2 NFs was bonded to the electrode surface through the interaction between antigen and antibody in turn. During this process, Ru(bpy)32+ and the co-reactant TPA first showed strong and stable ECL emission. As the concentration of cTnI in the test system increased, the signal of SnO2 NFs and the co-reactant K2S2O8 gradually enhanced, indicating self-calibrating mechanism of the assay system. Therefore, the "off-on" ECL immunosensor can be detected in the linear range of 10-5 -104 ng/mL, and the limit of detection (LOD) is 3.39 fg/mL (S/N = 3), respectively. The dual-signal electrochemiluminescence method has the advantages of low cost, simple analysis process, wide detection range and good selectivity, providing a promising analysis protocol for clinical applications.

Functional examination of lncRNAs in allotetraploid Gossypium hirsutum.

BACKGROUND: An evolutionary model using diploid and allotetraploid cotton species identified 80 % of non-coding transcripts in allotetraploid cotton as being uniquely activated in comparison with its diploid ancestors. The function of the lncRNAs activated in allotetraploid cotton remain largely unknown. RESULTS: We employed transcriptome analysis to examine the relationship between the lncRNAs and mRNAs of protein coding genes (PCGs) in cotton leaf tissue under abiotic stresses. LncRNA expression was preferentially associated with that of the flanking PCGs. Selected highly-expressed lncRNA candidates (n = 111) were subjected to a functional screening pilot test in which virus-induced gene silencing was integrated with abiotic stress treatment. From this low-throughput screen, we obtained candidate lncRNAs relating to plant height and tolerance to drought and other abiotic stresses. CONCLUSIONS: Low-throughput screen is an effective method to find functional lncRNA for further study. LncRNAs were more active in abiotic stresses than PCG expression, especially temperature stress. LncRNA XLOC107738 may take a cis-regulatory role in response to environmental stimuli. The degree to which lncRNAs are constitutively expressed may impact expression patterns and functions on the individual gene level rather than in genome-wide aggregate.

Neofunctionalization of a polyploidization-activated cotton long intergenic non-coding RNA DAN1 during drought stress regulation.

The genomic shock of whole-genome duplication (WGD) and hybridization introduces great variation into transcriptomes, for both coding and noncoding genes. An altered transcriptome provides a molecular basis for improving adaptation during the evolution of new species. The allotetraploid cotton, together with the putative diploid ancestor species compose a fine model for study the rapid gene neofunctionalization over the genome shock. Here we report on Drought-Associated Non-coding gene 1 (DAN1), a long intergenic noncoding RNA (lincRNA) that arose from the cotton progenitor A-diploid genome after hybridization and WGD events during cotton evolution. DAN1 in allotetraploid upland cotton (Gossypium hirsutum) is a drought-responsive lincRNA predominantly expressed in the nucleoplasm. Chromatin isolation by RNA purification profiling and electrophoretic mobility shift assay analysis demonstrated that GhDAN1 RNA can bind with DNA fragments containing AAAG motifs, similar to DNA binding with one zinc finger transcription factor binding sequences. The suppression of GhDAN1 mainly regulates genes with AAAG motifs in auxin-response pathways, which are associated with drought stress regulation. As a result, GhDAN1-silenced plants exhibit improved tolerance to drought stress. This phenotype resembles the drought-tolerant phenotype of the A-diploid cotton ancestor species, which has an undetectable expression of DAN1. The role of DAN1 in cotton evolution and drought tolerance regulation suggests that the genomic shock of interspecific hybridization and WGD stimulated neofunctionalization of non-coding genes during the natural evolutionary process.

DNA hypomethylation in tetraploid rice potentiates stress-responsive gene expression for salt tolerance.

Polyploidy is a prominent feature for genome evolution in many animals and all flowering plants. Plant polyploids often show enhanced fitness in diverse and extreme environments, but the molecular basis for this remains elusive. Soil salinity presents challenges for many plants including agricultural crops. Here we report that salt tolerance is enhanced in tetraploid rice through lower sodium uptake and correlates with epigenetic regulation of jasmonic acid (JA)-related genes. Polyploidy induces DNA hypomethylation and potentiates genomic loci coexistent with many stress-responsive genes, which are generally associated with proximal transposable elements (TEs). Under salt stress, the stress-responsive genes including those in the JA pathway are more rapidly induced and expressed at higher levels in tetraploid than in diploid rice, which is concurrent with increased jasmonoyl isoleucine (JA-Ile) content and JA signaling to confer stress tolerance. After stress, elevated expression of stress-responsive genes in tetraploid rice can induce hypermethylation and suppression of the TEs adjacent to stress-responsive genes. These induced responses are reproducible in a recurring round of salt stress and shared between two japonica tetraploid rice lines. The data collectively suggest a feedback relationship between polyploidy-induced hypomethylation in rapid and strong stress response and stress-induced hypermethylation to repress proximal TEs and/or TE-associated stress-responsive genes. This feedback regulation may provide a molecular basis for selection to enhance adaptation of polyploid plants and crops during evolution and domestication.

Functional analysis of the cotton CLE polypeptide signaling gene family in plant growth and development.

The CLAVATA3 (CLV3)/EMBRYO SURROUNDING REGION (ESR)-RELATED (CLE) gene family encodes a large number of polypeptide signaling molecules involved in the regulation of shoot apical meristem division and root and vascular bundle development in a variety of plants. CLE family genes encode important short peptide hormones; however, the functions of these signaling polypeptides in cotton remain largely unknown. In the current work, we studied the effects of the CLE family genes on growth and development in cotton. Based on the presence of a conserved CLE motif of 13 amino acids, 93 genes were characterized as GhCLE gene family members, and these were subcategorized into 7 groups. A preliminary analysis of the cotton CLE gene family indicated that the activity of its members tends to be conserved in terms of both the 13-residue conserved domain at the C-terminus and their subcellular localization pattern. Among the 14 tested genes, the ectopic overexpression of GhCLE5::GFP partially mimicked the phenotype of the clv3 mutant in Arabidopsis. GhCLE5 could affect the endogenous CLV3 in binding to the receptor complex, comprised of CLV1, CLV2, and CRN, in the yeast two-hybrid assay and split-luciferase assay. Silencing GhCLE5 in cotton caused a short seedling phenotype. Therefore, we concluded that the cotton GhCLE gene family is functionally conserved in apical shoot development regulation. These results indicate that CLE also plays roles in cotton development as a short peptide hormone.

Global attraction and stability for Cohen-Grossberg neural networks with delays.

We consider a class of Cohen-Grossberg neural networks with delays. We prove the existence and global asymptotic stability of an equilibrium point and estimate the region of existence. Furthermore, we show that the trajectories of the neural networks with positive initial data will stay in the positive region if the amplification function satisfies a divergent condition. We also establish the existence of a globally attracting compact set for more general networks. We estimate this compact set explicitly in terms of the network parameters from physiological and biological models. Our results can be applied to neural networks with a wide range of activation functions which are neither bounded nor globally Lipschitz continuous such as the Lotka-Volterra model. We also give some examples and simulations.