Natural variation in GhKASI_A05 modulates cottonseed oil content in Gossypium hirsutum L.

Cotton is of great economic value because of its fiber that is used in natural textile commodities and its seeds that contain an edible oil with a high content of unsaturated fatty acids and biodiesel applications. Here, we reported that GhKASI_A05 was associated with the cottonseed oil content (SOC) in a natural population via candidate gene association analysis. An 11-bp Indel located in the GhKASI_A05 promoter was found to contribute to SOC and differential expression in upland cotton inbred accessions. Interaction analysis showed that GhWRI1, an AP2/EREBP family transcription factor, that reportedly functions in plant seed oil and fatty acids (FAs) accumulation, directly bound to AW-box cis-elements in two haplotypes of the GhKASI_A05 promoter and activated the expression of GhKASI_A05 at different levels. The seed-specific overexpression of GhKASI_A05 resulted in increased seed size, weight, and protein content, and C16:0 and C18:1 contents but reduced SOC. Our results provide new insights into the biological function of GhKASI in SOC and effective strategies for cotton breeding in the future.

Protective and Damaging Mechanisms of Neuromelanin-Like Nanoparticles and Iron in Parkinson's Disease.

Parkinson's disease (PD) pathology speculates that neuromelanin (NM) and iron ions play a significant role in physiological and pathological conditions of PD. Because the difficult accessibility of NM has limited targeted research, synthetic melanin-like nanoparticles have been used to instead. In this report, the eumelanin and pheomelanin-like polydopamine (PDA) nanoparticles are prepared that can be used to simulate natural NM with or without chelating iron ion and studied the redox effects in vitro and in vivo on neuronal cells and PD. The synthetic pheomelanin-like PDA nanoparticles have much stronger redox activity than eumelanin-like PDA nanoparticles without or with iron ion. They can protect neurons by scavenging reactive oxygen species (ROS), while cause neuronal cell death and PD due to excessive binding of iron ions. This work provides new evidence for the relationship among two structural components of NM and iron in PD as well as displays the different effects on the roles of eumelanin and pheomelanin in redox activity under physiological or pathological conditions, which provide a new effective choice for cellular and animal models of PD and offer theoretical guidance for targeted treatment and mechanism research on PD.

First detection and biological characterization of an avian metaavulavirus 8 isolated from a migratory swan goose in Qinghai Lake, Northwest China.

Avian metaavulavirus 8 (AMAV-8), formerly known as avian paramyxovirus 8 (APMV-8), has been detected sporadically in wild birds worldwide since it was first identified in a Canadian goose in 1976. However, the presence of AMAV-8 in birds has never been reported in China. To understand the epidemiological situation of AMAV-8 and its ability to infect chickens, we conducted a surveillance study and in vivo analysis of the AMAV-8 isolate identified in total of 14,909 clinical samples collected from wild and domestic birds from 2014 to 2022 in China. However, in 2017, only one AMAV-8 virus (Y7) was successful isolated from the fresh droppings of a migratory swan goose in Qinghai Lake in Northwest China. Thereafter, we report the complete genome sequence of the Y7 strain with a genome length of 15,342 nucleotides and the Y7 isolate was genetically closely-related to wild bird-origin AMAV-8 viruses previously circulated in the United States, Japan, and Kazakhstan. Furthermore, AMAV-8 infections of one-day-old specific pathogen-free (SPF) chicks did not induce any clinical signs over the entire observation period but was associated with viral shedding for up to 8 days. Interestingly, although all birds infected with the Y7 strain seroconverted within the first week of infection, virus replication was only detected in the trachea but not in other tissues such as the brain, lung, or heart. Here, we report the complete genome, genetic and biological characterization, replication and pathogenicity analysis in vivo and first detection of AMAV-8 in China.

Association between serum branched chain amino acids, mammalian target of rapamycin levels and the risk of gestational diabetes mellitus: a 1:1 matched case control study.

BACKGROUND: To investigate the association between serum branched chain amino acids (BCAAs), mammalian target of rapamycin (mTOR) levels and the risk of gestational diabetes mellitus (GDM) in pregnant women. METHODS: 1:1 matched case-control study was conducted including 66 GDM patients and 66 matched healthy pregnant women (± 3 years) in 2019, in China. Fasting bloods of pregnant women were collected in pregnancy at 24 ~ 28 weeks gestation. And the serum levels of valine (Val), leucine (Leu), isoleucine (Ile) and mTOR were determined. Conditional logistic regressions models were used to estimate the associations of BCAAs and mTOR concentrations with the risk of GDM. RESULTS: Concentrations of serum Val and mTOR in cases were significantly higher than that in controls (P < 0.05). After adjusted for the confounded factors, both the second tertile and the third tertile of mTOR increased the risk of GDM (OR = 11.771, 95%CI: 3.949-35.083; OR = 4.869 95%CI: 1.742-13.611, respectively) compared to the first tertile of mTOR. However, the second tertile of serum Val (OR = 0.377, 95%CI:0.149-0.954) and the second tertile of serum Leu (OR = 0.322, 95%CI: 0.129-0.811) decreased the risk of GDM compared to the first tertile of serum Val and Leu, respectively. The restricted cubic spline indicated a significant nonlinear association between the serum levels of mTOR and the risk of GDM (P values for non-linearity = 0.0058). CONCLUSION: We confirmed the association of higher mTOR with the increased risk of GDM in pregnant women. Pregnant women who were in the certain range level of Val and Leu were at lower risk of GDM. Our findings provided epidemiological evidence for the relation of serum BCAAs and mTOR with risk of GDM.

The simultaneous addition of chitosan and peat enhanced the removals of antibiotics resistance genes during biogas residues composting.

Direct reuse of biogas residue (BR) has the potential to contribute to the dissemination of antibiotic resistance genes (ARGs). Although high-temperature composting has been demonstrated as an effective method for the harmless treatment of organic waste, there is few researches on the fate of ARGs in high-temperature composting of BR. This research examined the impact of adding 5% chitosan and 15% peat on physicochemical characteristics, microbial communities, and removal of ARGs during BR-straw composting in 12 Biolan 220L composters for 48 days. Our results showed that the simultaneous addition of chitosan and peat extended the high-temperature period, and increased the highest temperature to 74 °C and germination index. These effects could be attributed to the presence of thermophilic cellulose-decomposing genera (Thermomyces and Thermobifida). Although the microbial communities differed compositionally among temperature stages, their dissimilarity drastically reduced at final stage, indicating that the impact of different treatments on microbial community composition decreases at the end of composting. Peat had a greater impact on aerobic genera capable of cellulose degradation at thermophilic stage than chitosan. Surprisingly, despite the total copy number of ARGs significantly decreased during composting, especially in the treatment with both chitosan and peat, intI1 gene abundance significantly increased 2 logs at thermophilic stage and maintained high level in the final compost, suggesting there is still a potential risk of transmission and proliferation of ARGs. Our work shed some lights on the development of waste resource utilization and emerging contaminants removal technology.

Environmentally relevant concentrations of perfluorobutane sulfonate impair locomotion behaviors and healthspan by downregulating mitophagy in C. elegans.

Perfluorobutane sulfonate (PFBS), a chemical compound within the group of per- and polyfluoroalkyl substances (PFAS), has been utilized as an alternative to perfluorooctane sulfonate (PFOS) recently. Previous research has indicated that PFBS might be linked to a range of health concerns. However, the potential impacts of environmentally relevant concentrations of PFBS (25 nM) on aging as well as the underlying mechanisms remained largely unexplored. In this study, we investigated the impact of PFBS exposure on aging and the associated mechanisms in Caenorhabditis elegans. Our findings indicated that exposure to PFBS impaired healthspan of C. elegans. Through bioinformatic screening analyses, we identified that the dysfunctions of pink-1 mediated mitophagy might play a critical role in PFBS induced aging. The results furtherly revealed that PFBS exposure led to elevated levels of reactive oxygen species (ROS) and mitophagy impairment through downregulating pink-1/pdr-1 pathway. Furthermore, the mitophagy agonist Urolithin A (UA) effectively reversed PFBS-induced mitophagy dysfunction and enhanced healthspan in C. elegans. Taken together, our study suggested that exposure to environmentally relevant concentrations of PFBS could accelerate aging by downregulating the pink-1 mediated mitophagy. Promoting mitophagy within cells could be a promising therapeutic strategy for delaying PFBS-induced aging.

Change Representation and Extraction in Stripes: Rethinking Unsupervised Hyperspectral Image Change Detection With an Untrained Network.

Deep learning-based hyperspectral image (HSI) change detection (CD) approaches have a strong ability to leverage spectral-spatial-temporal information through automatic feature extraction, and currently dominate in the research field. However, their efficiency and universality are limited by the dependency on labeled data. Although the newly applied untrained networks can avoid the need for labeled data, their feature volatility from the simple difference space easily leads to inaccurate CD results. Inspired by the interesting finding that salient changes appear as bright "stripes" in a new feature space, we propose a novel unsupervised CD method that represents and models changes in stripes for HSIs (named as StripeCD), which integrates optimization modeling into an untrained network. The StripeCD method constructs a new feature space that represents change features in stripes and models them in a novel optimization manner. It consists of three main parts: 1) dual-branch untrained convolutional network, which is utilized to extract deep difference features from bitemporal HSIs and combined with a two-stage channel selection strategy to emphasize the important channels that contribute to CD. 2) multiscale forward-backward segmentation framework, which is proposed for salient change representation. It transforms deep difference features into a new feature space by exploiting the structure information of ground objects and associates salient changes with the stripe-shaped change component. 3) stripe-shaped change extraction model, which characterizes the global sparsity and local discontinuity of salient changes. It explores the intrinsic properties of deep difference features and constructs model-based constraints to better identify changed regions in a controllable manner. The proposed StripeCD method outperformed the state-of-the-art unsupervised CD approaches on three widely used datasets. In addition, the proposed StripeCD method indicates the potential for further investigation of untrained networks in facilitating reliable CD.

Joint Trajectories of Lifestyle Indicators and Their Associations with Blood Pressure among Chinese Middle School Students.

Lifestyle behaviors, defined as a combination of dietary behavior, physical activity (PA), screen time (ST), and sleep duration indicators, are strongly associated with blood pressure (BP) in students. Our aim was to characterize the joint trajectories of lifestyle behaviors among middle school students and evaluate their association with BP. Data were obtained from the monitoring dataset on common diseases and health factors among students in Jiading District, Shanghai, China, conducted from 2019 to 2023. Lifestyle behavior data were collected annually from middle school students aged 12-18 years through questionnaires covering dietary behavior score, PA, ST, and sleep duration. Students' BP was measured in 2023. Joint trajectories of lifestyle behaviors were determined using group-based multi-trajectory modeling. Associations between lifestyle trajectories and students' BP were examined using multiple linear regression and modified Poisson regression. A total of 1378 middle school students (759 [58.98%] boys, median age 14.36 years [IQR: 13·30-13.28]) with lifestyle behaviors data assessed at least three times were included, and they were categorized into four joint lifestyle trajectories as follows: "remain unhealthy with low PA and increasing ST" (n = 141, 10.46%), "remain unhealthy with only low PA" (n = 305, 22.63%), "change towards unhealthy with decreasing sleep duration" (n = 776, 57.57%), and "relatively healthy" (n = 126, 9.35%). After adjusting for important confounders, the "remain unhealthy with low PA and increasing ST" group was associated with higher diastolic BP (DBP) [ß: 3.49, 95% CI: 0.55-6.44] and higher mean arterial pressure (MAP) [ß: 3.19, 95% CI: 0.37-6.01] in students compared with the "relatively healthy" group. Additionally, compared with the "relatively healthy" group, students in the "remain unhealthy with low PA and increasing ST" group had a 1.12-fold increase in the risk of hypertension (risk ratios: 1.12, 95% CI: 1.03-1.24). All trend p values in DBP, MAP, and hypertension from the "relatively healthy" group to the "remain unhealthy with low PA and increasing ST" group were less than 0.05. Four distinct lifestyle trajectories were identified among middle school students. Students who remained in the "unhealthy with low PA and increasing ST" lifestyle trajectory were associated with later elevations in BP.

Cancer associated fibroblasts and metabolic reprogramming: unraveling the intricate crosstalk in tumor evolution.

Metabolic reprogramming provides tumors with an energy source and biofuel to support their survival in the malignant microenvironment. Extensive research into the intrinsic oncogenic mechanisms of the tumor microenvironment (TME) has established that cancer-associated fibroblast (CAFs) and metabolic reprogramming regulates tumor progression through numerous biological activities, including tumor immunosuppression, chronic inflammation, and ecological niche remodeling. Specifically, immunosuppressive TME formation is promoted and mediators released via CAFs and multiple immune cells that collectively support chronic inflammation, thereby inducing pre-metastatic ecological niche formation, and ultimately driving a vicious cycle of tumor proliferation and metastasis. This review comprehensively explores the process of CAFs and metabolic regulation of the dynamic evolution of tumor-adapted TME, with particular focus on the mechanisms by which CAFs promote the formation of an immunosuppressive microenvironment and support metastasis. Existing findings confirm that multiple components of the TME act cooperatively to accelerate the progression of tumor events. The potential applications and challenges of targeted therapies based on CAFs in the clinical setting are further discussed in the context of advancing research related to CAFs.

Plasma exosome-derived miR-455-5p targets RPS6KB1 to regulate cartilage homeostasis in valgus-varus deformity (Gallus gallus).

Valgus-varus deformity (VVD) is a common long bone deformity in broilers. Imbalance in cartilage homeostasis is the main feature of leg disease. Exosomes act as an important intercellular communication vector that regulates chondrogenesis by encapsulating specific nucleic acids and proteins. However, the exact mechanism of how plasma exosomal miRNAs regulate cartilage homeostasis in VVD broilers remains unclear. This study first demonstrated the structural disorder, growth retardation, and reduced proliferative capacity of VVD cartilage in vitro and in vivo. Subsequently, VVD and Normal broiler plasma exosomes were collected for miRNA sequencing. Cartilage-specific miR-455-5p was extraordinarily emphasized by performing bioinformatics analysis on differential miRNA target genes and further validated by tissue expression profiling. PKH67 fluorescently labeled plasma exosomes were shown to be taken up by chondrocytes, deliver miR-455-5p, inhibit chondrocyte proliferation, and disrupt their homeostasis, and these effects could be inhibited by the miR-inhibitors. Mechanistically, MiR-455-5p targets Ribosomal Protein S6 Kinase B1 (RPS6KB1) to inhibit RPS6 phosphorylation and reduce the synthesis of key proteins for cartilage proliferation, which in turn inhibits cartilage proliferation and disrupts its homeostasis. In conclusion, the present study identified abnormalities in VVD cartilage tissue and clarified the specific mechanism by which plasma exosome-derived miR-455-5p regulates cartilage homeostasis.

GhSWEET42 Regulates Flowering Time under Long-Day Conditions in Arabidopsis thaliana.

Flowering in plants is pivotal for initiating and advancing reproductive processes, impacting regional adaptation and crop yield. Despite numerous cloned and identified flowering time genes, research in cotton remains sparse. This study identified GhSWEET42 as a key determinant of the flowering time in cotton, demonstrating that its heterologous expression in Arabidopsis accelerated flowering under LD conditions compared to WT. Transgenic plants exhibited upregulated expression of the flowering inducers AtFT, AtSOC1, AtGI, and AtFKF1, alongside downregulated expression of the repressors AtTSF, AtFLC, and AtRGL2, correlating with the earlier flowering phenotype. GhSWEET42 showed a constitutive expression pattern, with elevated levels in the leaves, petals, and flower buds, and was notably higher in early-maturing cotton varieties. Subcellular localization assays confirmed GhSWEET42's presence on the cell membrane. Transcriptome analysis between WT and GhSWEET42-overexpressing Arabidopsis plants revealed 2393 differentially expressed genes (DEGs), spanning 221 biological processes, 93 molecular functions, and 37 cellular components according to Gene Ontology (GO) enrichment analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis categorized the DEGs into metabolism and environmental information processing. These findings enhance the understanding of GhSWEET42's function and provide a foundation for elucidating the molecular mechanisms governing flowering time regulation in cotton.

Suitable Habitat Distribution and Niche Overlap of the Sable (Martes zibellina) and Yellow-Throated Marten (Martes flavigula) in Taipinggou National Nature Reserve, Heilongjiang Province, China.

The global focus on fostering harmonious interactions and promoting rational coexistence among wildlife species to uphold or reinstate biodiversity remains a prominent area of interest. We conducted a study on the sable and yellow-throated marten in Taipinggou National Nature Reserve, Heilongjiang, China, using the line transect method and infrared camera traps from 2022 to 2023. We then analyzed the overlap of their suitable habitats and niches with the aim of gaining insight into the interspecific competition between these two species. We found that the suitable habitat areas for the sable and yellow-throated marten were 55.20 km2 and 23.28 km2, accounting for 24.86% and 10.48% of the total area of this study, respectively. The overlap between the suitable habitats for the sable and yellow-throated marten was 15.73 km2, accounting for 28.5% and 67.6% of their suitable habitat, supporting our Hypothesis 1. The first principal component (Dim1) of the niche explained 35.4% of the overall variability, which is mainly related to the environmental variables "Distance from Settlements" and "Distance from Roads". Overall, 25.5% of the total variability was explained by the second principal component (Dim2), associated with "Slope" and "Distance from Coniferous and Broadleaved Mixed Forest". The niches occupied by the sable and yellow-throated marten were both off-center of the environmental background space, with the niches of the sable being larger than those of the yellow-throated marten. Schoener's D index was 0.56, indicating a high degree of niche overlap between the sable and yellow-throated marten, supporting our Hypothesis 2. Our study is helpful in terms of formulating conservation and management policies for the sable and yellow-throated marten.

Mesoporous DNA-Co@C nanofibers knitted aptasensors performing onsite determination of trace kanamycin residues.

The abuse of kanamycin (KAN) poses an increasing threat to human health by contaminating agricultural and animal husbandry products, drinking water, and more. Therefore, the sensitive detection of trace KAN residues in real samples is crucial for monitoring agricultural pollution, ensuring food safety, and diagnosing diseases. However, traditional assay techniques for KAN rely on bulky instruments and complicated operations with unsatisfactory detection limits. Herein, we developed a novel label-free aptasensor to achieve ultrasensitive detection of KAN by constructing mesoporous DNA-cobalt@carbon nanofibers (DNA-Co@C-NFs) as the recognizer. Leveraging the extended π-conjugation structure, prominent surface area, and abundant pores, the Co@C-NFs can effectively load aptamer strands via π-π stacking interactions, serving as KAN capturer and reporter. Due to the change in DNA configuration upon binding KAN, this aptasensor presented an ultralow detection limit and ultra-wide linear range, along with favorable precision and selectivity. Using real tap water, milk, and human serum samples, the aptasensor accurately reported trace KAN levels. As a result, this convenient and rapid autosensing technique holds promise for onsite testing of other antibiotic residues in agriculture, food safety, and clinical diagnosis.

SLC7A11 protects luminal A breast cancer cells against ferroptosis induced by CDK4/6 inhibitors.

Cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6 inhibitors) can significantly extend tumor response in patients with metastatic luminal A breast cancer, yet intrinsic and acquired resistance remains a prevalent issue. Understanding the molecular features of CDK4/6 inhibitor sensitivity and the potential efficacy of their combination with novel targeted cell death inducers may lead to improved patient outcomes. Herein, we demonstrate that ferroptosis, a form of regulated cell death driven by iron-dependent phospholipid peroxidation, partly underpins the efficacy of CDK4/6 inhibitors. Mechanistically, CDK4/6 inhibitors downregulate the cystine transporter SLC7A11 by inhibiting SP1 binding to the SLC7A11 promoter region. Furthermore, SLC7A11 is identified as critical for the intrinsic sensitivity of luminal A breast cancer to CDK4/6 inhibitors. Both genetic and pharmacological inhibition of SP1 or SLC7A11 enhances cell sensitivity to CDK4/6 inhibitors and synergistically inhibits luminal A breast cancer growth when combined with CDK4/6 inhibitors in vitro and in vivo. Our data highlight the potential of targeting SLC7A11 in combination with CDK4/6 inhibitors, supporting further investigation of combination therapy in luminal A breast cancer.

Deciphering the therapeutic potential of Myeloid-Specific JAK2 inhibition in acute respiratory distress syndrome.

Acute respiratory distress syndrome (ARDS) is a life-threatening condition characterized by severe inflammation and pulmonary dysfunction. Despite advancements in critical care, effective pharmacological interventions for ARDS remain elusive. While Janus kinase 2 (JAK2) inhibitors have emerged as an innovative treatment for numerous autoinflammatory diseases, their therapeutic potential in ARDS remains unexplored. In this study, we investigated the contribution of JAK2 and its underlying mechanisms in ARDS utilizing myeloid-specific JAK2 knockout murine models alongside a pharmacological JAK2 inhibitor. Notably, myeloid-specific JAK2 knockout led to a notable attenuation of ARDS induced by intratracheal administration of LPS, accompanied by reduced levels of neutrophils and inflammatory cytokines in bronchoalveolar lavage fluid (BALF) and lung tissue. Intriguingly, the ameliorative effects were abolished upon the depletion of monocyte-derived alveolar macrophages (Mo-AMs) rather than tissue-resident alveolar macrophages (TR-AMs). JAK2 deficiency markedly reversed LPS-induced activation of STAT5 in macrophages. Remarkably, pharmacological JAK2 inhibition using baricitinib failed to substantially alleviate neutrophils infiltration, implying that specific inhibition of JAK2 in Mo-AMs is imperative for ARDS amelioration. Collectively, our data suggest that JAK2 may mitigate ARDS progression through the JAK2 pathway in Mo-AMs, underscoring JAK2 in alveolar macrophages, particularly Mo-AMs, as a promising therapeutic target for ARDS treatment.

Construction and validation of a risk prediction model for early hungry bone syndrome in maintenance hemodialysis patients post-parathyroidectomy. / ç»´æŒæ€§è¡€æ¶²é€æžæ‚£è€ ç”²çŠ¶æ—è ºåˆ‡é™¤æœ¯åŽæ—©æœŸéª¨é¥¥é¥¿ç»¼åˆå¾é£Žé™©é¢„æµ‹æ¨¡åž‹çš„æž„å»ºä¸ŽéªŒè¯.

OBJECTIVES: Parathyroidectomy (PTX) is an effective treatment for refractory secondary hyperparathyroidism (SHPT), but it can lead to hungry bone syndrome (HBS), significantly threatening the health of maintenance haemodialysis (MHD) patients. While previous studies have analyzed the risk factors for HBS post-PTX, the predictive performance and clinical applicability of these risk models need further validation. This study aims to construct and validate a risk prediction model for HBS in MHD patients with SHPT post-PTX. METHODS: A retrospective analysis was conducted on 368 MHD patients with SHPT who underwent PTX at Changsha Jieao Nephrology Hospital from January 2020 to December 2021. Patients were divided into a HBS group and a non-HBS group based on the occurrence of HBS. General data, surgical information, and biochemical indicators were compared between the 2 groups. Multivariate logistic regression was used to identify factors influencing HBS, and a risk prediction model was established. The model's performance was evaluated using receiver operator characteristic (ROC) curves, decision curves, and calibration curves. External validation was performed on 170 MHD patients with SHPT who underwent PTX at the Third Xiangya Hospital of Central South University from January to December 2022. RESULTS: The incidence of HBS post-PTX in MHD patients with SHPT was 60.60%. Logistic regression analysis identified preoperative bone involvement (OR=3.908, 95% CI 2.179 to 7.171), preoperative serum calcium (OR=7.174, 95% CI 2.291 to 24.015), preoperative intact parathyroid hormone (iPTH) (OR=1.001, 95% CI 1.001 to 1.001), preoperative alkaline phosphatase (ALP) (OR=1.001, 95% CI 1.000 to 1.001), and serum calcium on the first postoperative day (OR=0.006, 95% CI 0.001 to 0.038) as independent risk factors for HBS (all P<0.01). The constructed risk prediction model demonstrated good predictive performance in both internal and external validation cohorts. The internal validation cohort showed an accuracy of 0.821, sensitivity of 0.890, specificity of 0.776, Youden index of 0.666, and area under the curve (AUC) of 0.882 (95% CI 0.845 to 0.919). The external validation cohort showed an accuracy of 0.800, sensitivity of 0.806, specificity of 0.799, Youden index of 0.605, and AUC of 0.863 (95% CI 0.795 to 0.932). CONCLUSIONS: Preoperative bone involvement, serum calcium, iPTH, ALP, and serum calcium on the first postoperative day are influencing factors for HBS in MHD patients with SHPT post-PTX. The constructed risk prediction model based on these factors is reliable.

Research progress on detection of foodborne pathogens: The more rapid and accurate answer to food safety.

In recent years, foodborne diseases have posed a serious threat to human health, and rapid detection of foodborne pathogens is particularly crucial for the prevention and control of such diseases. This article offers a detailed overview of the development of detection techniques for foodborne pathogens, transitioning from traditional microbiological culture methods to the current array of techniques, including immunological, molecular biological, and biosensor-based methods. It summarizes the technical principles, advantages, disadvantages, and research progress of these diverse methods. Furthermore, the article demonstrates that the combination of different methods enhances the efficiency and accuracy of pathogens detection. Specifically, the article focuses on the application and advantages of combining CRISPR/Cas systems with other detection methods in the detection of foodborne pathogens. CRISPR/Cas systems, with their high specificity, sensitivity, and ease of operation, show great potential in the field of foodborne pathogens detection. When integrated with other detection techniques such as immunological detection techniques, molecular biology detection techniques, and biosensors, the accuracy and efficiency of detection can be further improved. By fully utilizing these tools, early detection and control of foodborne diseases can be achieved, enhancing public health and preventing disease outbreaks. This article serves as a valuable reference for exploring more convenient, accurate, and sensitive field detection methods for foodborne pathogens, promoting the application of rapid detection techniques, and ensuring food safety and human health.

Synergistic impact of plasma albumin and cognitive function on all-cause mortality in Chinese older adults: a prospective cohort study.

Background: Hypoalbuminemia and cognitive impairment (CI) each independently increase the mortality risk in older adults. However, these two geriatric syndromes can occur simultaneously. In community-dwelling older adults, is the combination of hypoalbuminemia and CI linked to a higher mortality risk than either condition alone? Objective: We aimed to investigate the association between plasma albumin, cognitive function, and their synergistic effect on mortality in Chinese community-dwelling older adults. Methods: Data from the Chinese Longitudinal Healthy Longevity Survey (2012) included 1,858 participants aged ≥65. Baseline assessments comprised albumin levels and cognitive status. All-cause mortality was confirmed through 2014-2018 surveys. Cox proportional hazards models assessed associations, and restricted cubic splines explored albumin-mortality relationship. Results: During a median follow-up of 48.85 months, 921 deaths. Albumin≥35 g/L vs < 35g/L [HR: 1.33 (95%CI, 1.10, 1.62)] and CI vs normal cognition [HR: 1.69 (95%CI, 1.43, 1.99)] independently predicted mortality. A dose-response relationship with mortality was observed for albumin quartiles (p < 0.001). Each SD increase in MMSE or albumin correlated with 22% and 15% lower mortality risk, respectively. Combined hypoproteinemia and CI increased the mortality risk by 155%, with a notably higher risk in males, those aged <85 years, and individuals living in rural areas. Interaction effects of albumin and CI on mortality were observed (p < 0.001). In the single CI group, older adults had a 61% increased risk of mortality in the hypoproteinaemia group compared with the albumin-normal group. Restricted cubic spline revealed a reverse J-shaped association, particularly for participants without CI. For individuals with CI, albumin levels were inversely associated with mortality risk. Conclusion: Hypoproteinemia and CI, individually and combined, increased all-cause mortality risk in Chinese older adults, with stronger effects observed in males, younger older adults, and those living in rural areas. These findings emphasize the importance of targeted adjustments and early nutrition programs in health prevention and clinical care for older adults.

Rapid Synthesis of Functions-Integrated Hydrogel as a Self-Powered Wound Dressing for Real-Time Drug Release and Health Monitoring.

A bio-hydrogel is prepared via a low-cost and time-saving strategy and is studied as a self-powered wound dressing for precision medicine and health monitoring. Promoted by a dual self-catalytic pair composed of Fe3+ and catechol, gelation time is dramatically accelerated to 15 s and the hydrogel can be freely modeled at -18 °C without losing flexibility. As smart wound dressing, the required properties such as self-healing, self-adhesion, antibacterial, and sensing stability, are integrated into one hydrogel. TA@CNC offers abundant hydrogen bond and metal-ligand coordination which facilitate the hydrogel with a self-healing efficiency of 91.6%. Owing to the catechol in TA@CNC, hydrogel can adhere to multiple substrates including skin, and show good antibacterial activity. Inspired by a fruit battery, a self-powered wound dressing is fabricated, which exhibits excellent correlation and efficiency in real-time monitoring of body activity and drug release. In vivo experiments prove that efficient drug release of hydrogel dressing significantly accelerate wound healing. Additionally, the dressing exhibits excellent biocompatibility and has no negative impacts on organs. Herein, a smart wound dressing that is different from the traditional way is proposed. As a self-powered device, it can be integrated with wireless devices and is expected to participate in promising applications.