Salt-tolerant plant growth-promoting bacteria as a versatile tool for combating salt stress in crop plants.

Soil salinization poses a great threat to global agricultural ecosystems, and finding ways to improve the soils affected by salt and maintain soil health and sustainable productivity has become a major challenge. Various physical, chemical and biological approaches are being evaluated to address this escalating environmental issue. Among them, fully utilizing salt-tolerant plant growth-promoting bacteria (PGPB) has been labeled as a potential strategy to alleviate salt stress, since they can not only adapt well to saline soil environments but also enhance soil fertility and plant development under saline conditions. In the last few years, an increasing number of salt-tolerant PGPB have been excavated from specific ecological niches, and various mechanisms mediated by such bacterial strains, including but not limited to siderophore production, nitrogen fixation, enhanced nutrient availability, and phytohormone modulation, have been intensively studied to develop microbial inoculants in agriculture. This review outlines the positive impacts and growth-promoting mechanisms of a variety of salt-tolerant PGPB and opens up new avenues to commercialize cultivable microbes and reduce the detrimental impacts of salt stress on plant growth. Furthermore, considering the practical limitations of salt-tolerant PGPB in the implementation and potential integration of advanced biological techniques in salt-tolerant PGPB to enhance their effectiveness in promoting sustainable agriculture under salt stress are also accentuated.

[Diagnostic efficacy of serum 14-3-3ß protein combined with fractional exhaled nitric oxide and conventional ventilatory lung function parameters for bronchial asthma in children]. / è¡€æ¸ 14-3-3ß蛋白联合呼出气一氧化氮及常规通气肺功能参数对儿童支气管哮喘的诊断效能.

OBJECTIVES: To explore the diagnostic efficacy of serum 14-3-3ß protein combined with fractional exhaled nitric oxide (FeNO) and conventional ventilatory lung function parameters in diagnosing bronchial asthma (referred to as "asthma") in children. METHODS: A prospective study included 136 children initially diagnosed with asthma during an acute episode as the asthma group, and 85 healthy children undergoing routine health checks as the control group. The study compared the differences in serum 14-3-3ß protein concentrations between the two groups, analyzed the correlation of serum 14-3-3ß protein with clinical indices, and evaluated the diagnostic efficacy of combining 14-3-3ß protein, FeNO, and conventional ventilatory lung function parameters for asthma in children. RESULTS: The concentration of serum 14-3-3ß protein was higher in the asthma group than in the control group (P<0.001). Serum 14-3-3ß protein showed a positive correlation with the percentage of neutrophils and total serum immunoglobulin E, and a negative correlation with conventional ventilatory lung function parameters (P<0.05). Cross-validation of combined indices showed that the combination of 14-3-3ß protein, FeNO, and the percentage of predicted value of forced expiratory flow at 75% of lung volume had an area under the curve of 0.948 for predicting asthma, with a sensitivity and specificity of 88.9% and 93.7%, respectively, demonstrating good diagnostic efficacy (P<0.001). The model had the best extrapolation. CONCLUSIONS: The combination of serum 14-3-3ß protein, FeNO, and the percentage of predicted value of forced expiratory flow at 75% of lung volume can significantly improve the diagnostic efficacy for asthma in children. Citation:Chinese Journal of Contemporary Pediatrics, 2024, 26(7): 723-729.

Assessment tools for stigma in breast cancer patients based on COSMIN guidelines: a systematic review.

OBJECTIVE: The objective of this study was to conduct a systematic review of the measurement properties and methodological quality of stigma assessment tools designed for breast cancer patients. The aim was to provide clinical medical staff with a foundation for selecting high-quality assessment tools. METHODS: A comprehensive computer search was carried out across various databases, including SinoMed, China National Knowledge Infrastructure (CNKI), Wanfang Database, China Science and Technology Journal Database(VIP), Embase, PubMed, Web of Science, The Cochrane Library, and Scopus, which were searched from the inception of the databases until March 20, 2023. Literature screening and data extraction were performed independently by two researchers, adhering to predefined inclusion and exclusion criteria. The assessment tools were evaluated using the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) systematic evaluation guidelines. RESULTS: In the final analysis, a total of 9 assessment tools were included. However, none of these tools addressed measurement error, cross-cultural validity, criterion validity, and responsiveness. Following the COSMIN guidelines, BCSS and CSPDS were assigned to Class A recommendations, while the remaining tools received Class B recommendations. CONCLUSION: The BCSS and CSPDS scales demonstrated comprehensive assessment in terms of their measurement characteristics, exhibiting good methodological quality, measurement attribute quality, and supporting evidence. Therefore, it is recommended to utilize these scales for evaluating breast cancer stigma. However, further validation is required for the remaining assessment tools.

[Effect of Shikonin on Autophagy and Apoptosis of Human Promyelocytic Leukemia Cells].

OBJECTIVE: To explore the effect of shikonin on autophagy and apoptosis of human promyelocytic leukemia cells and its possible mechanism. METHODS: Human promyelocytic leukemia cells NB4 in the logarithmic growth phase were divided into control group (untreated NB4 cells), shikonin group (0.3 µmol/L shikonin treatment), 740Y-P group (15 µmol/L PI3K/Akt/mTOR pathway activator 740Y-P treatment), shikonin+740Y-P group (0.3 µmol/L shikonin and 15 µmol/L 740Y-P co-treatment), after 24 hours of treatment, the cells were used for subsequent experiments. CCK-8 method was used to detect cell viability, monodansylcadaverine (MDC) staining to detect the aggregation of autophagic vesicles, flow cytometry to detect cell apoptosis, and Western blot to detect the expression of Beclin1, LC3, p62, Bax, cleaved caspase-3, Bcl-2 and PI3K/Akt/mTOR pathway related proteins. RESULTS: Compared with the control group, the purple punctate fluorescence intensity, apoptosis rate, Beclin1, LC3-Ⅱ/LC3-Ⅰ, cleaved caspase-3, and Bax protein expression in NB4 cells were increased in the shikonin group, while OD450 value (24, 48 h) and the expressions of Bcl-2 and p62 proteins were decreased (all P < 0.05). Compared with the control group, the purple punctate fluorescence intensity, apoptosis rate, Beclin1, LC3-Ⅱ/LC3-Ⅰ, cleaved caspase-3, and Bax protein expression in NB4 cells were decreased, while OD450 value (24, 48 h) and the expressions of Bcl-2 and p62 proteins were increased in the 740Y-P group (all P < 0.05). Compared with the shikonin group, the purple punctate fluorescence intensity, apoptosis rate, Beclin1, LC3-Ⅱ/LC3-Ⅰ, cleaved caspase-3, and Bax protein expression in NB4 cells were decreased, while OD450 value (24, 48 h) and the expressions of Bcl-2 and p62 proteins were increased in the shikonin+740Y-P group (all P < 0.05). Compared with the control group, the expression of PI3K/Akt/mTOR pathway related proteins p-PI3K, p-Akt, and p-mTOR in NB4 cells were significantly decreased in the shikonin group, while those in the 740Y-P group were increased (all P < 0.05). Compared with the shikonin group, the expressions of p-PI3K, p-Akt, and p-mTOR proteins in NB4 cells were significantly increased in the shikonin+740Y-P group (all P < 0.05). CONCLUSION: Shikonin may promote autophagy and apoptosis of NB4 cells by inhibiting PI3K/Akt/mTOR pathway.

The emerging role of extracellular vesicles in the diagnosis and treatment of autism spectrum disorders.

Autism spectrum disorders (ASD) are neurodevelopmental conditions characterized by restricted, repetitive behavioral patterns and deficits in social interactions. The prevalence of ASD has continued to rise in recent years. However, the etiology and pathophysiology of ASD remain largely unknown. Currently, the diagnosis of ASD relies on behavior measures, and there is a lack of reliable and objective biomarkers. In addition, there are still no effective pharmacologic therapies for the core symptoms of ASD. Extracellular vesicles (EVs) are lipid bilayer nanovesicles secreted by almost all types of cells. EVs play a vital role in cell-cell communications and are known to bear various biological functions. Emerging evidence demonstrated that EVs are involved in many physiological and pathological processes throughout the body and the content in EVs can reflect the status of the originating cells. EVs have demonstrated the potential of broad applications for the diagnosis and treatment of various brain diseases, suggesting that EVs may have also played a role in the pathological process of ASD. Besides, EVs can be utilized as therapeutic agents for their endogenous substances and biological functions. Additionally, EVs can serve as drug delivery tools as nano-sized vesicles with inherent targeting ability. Here, we discuss the potential of EVs to be considered as promising diagnostic biomarkers and their potential therapeutic applications for ASD.

A new pair of butylphthalide diastereomers from the roots of Angelica sinensis.

A new pair of butylphthalide diastereomers, dangguinolide A (1) and dangguinolide B (2), together with two known butylphthalide were isolated from Angelica sinensis. Their structures were determined by extensive spectroscopic analyses, and the absolute configurations of 1 and 2 were assigned via NMR calculations and ECD calculations. Their anti-inflammatory activities have evaluated in vitro.

The discovery of in situ thrombus attached to the patent foramen ovale channel in myocardial infarction with normal coronary arteries.

OBJECTIVE: Paradoxical embolism caused by a patent foramen ovale (PFO) is a rare cause of myocardial infarction (MI) in individuals presenting with normal coronary arteries on angiography; however, the deduction is often made due to the inability to identify the exact thrombus that penetrates the atrial septum. Previous studies using optical coherence tomography (OCT) have reported in situ thrombi attached to PFO tunnel in patients with cryptogenic stroke. However, the presence of such thrombi in patients with cryptogenic MI (without a definite cause) remains uncertain. METHOD: We retrospectively analyzed OCT data collected from February to July 2023 on PFO tunnels in MI adults with normal coronary arteries on angiography. RESULTS: Three patients diagnosed with cryptogenic MI and a PFO underwent OCT examination. These patients exhibited varying OCT findings. White thrombi and endocardial abnormalities in the channel were observed in two patients with MI. No thrombus or anomalous morphology on the endocardial surface was noted in the third patient. PFO closure was performed on all patients, and follow-up was completed by October 1, 2023. None of the patients reported recurrence of chest pain. CONCLUSION: In situ thrombus was identified within the PFO channel in patients with cryptogenic MI, potentially serving as a novel etiological factor for coronary thrombosis.

Thrombus inside the channel of patent foramen ovale revealed by optical coherence tomography imaging in a patient with myocardial infarction.

Background: Myocardial infarction (MI) caused by patent foramen ovale (PFO)-based paradoxical embolism is rare, and there are few case reports in the literature. Case summary: Here, we report a case of MI in which optical coherence tomography revealed in situ thrombi in the PFO channel. Discussion: In addition to paradoxical embolism, in situ thrombus may also be one of the pathogenic mechanisms of PFO in patients with MI.

[Changes in Soil Nitrogen Components and Their Relationship with Environmental Factors with Different Tea Plantation Ages].

Changes in soil nitrogen components in tea gardens affect the soil nitrogen supply capacity and nitrogen cycle. In this study, soil samples were collected from forest land, cultivated land, and tea gardens with different plantation ages (30, 50, and 70 years) to explore the changes in soil nitrogen components and their relationship with physicochemical properties and enzyme activities. The results showed that:① with the increase in tea plantation age, the silt, total phosphorus, and urease and catalase activities gradually increased, whereas the sand, clay, pH, electrical conductivity, soil organic carbon, and the activities of invertase gradually decreased. The alkaline phosphatase activity increased first and then decreased with the increase in tea plantation age, and no significant differences were observed in soil water content and acid phosphatase activity. ② With the increase in tea plantation age, the contents of acid ammonia nitrogen, amino acid nitrogen, and nitrate nitrogen (NO3--N) increased significantly, and the contents of total nitrogen, acid ammonia nitrogen, hydrolyzable unknown nitrogen, and non-hydrolyzable nitrogen in tea gardens were significantly higher than those in forest land. ③ The total phosphorus, alkaline phosphatase, and urease were the main factors affecting soil nitrogen components. Among them, organic nitrogen components were significantly correlated with total phosphorus and alkaline phosphatase, and inorganic nitrogen components were significantly correlated with alkaline phosphatase, whereas total nitrogen had significant correlations with sand, silt, total phosphorus, urease, and alkaline phosphatase.

Magnetically actuated sonodynamic nanorobot collectives for potentiated ovarian cancer therapy.

Ovarian cancer presents a substantial challenge due to its high mortality and recurrence rates among gynecological tumors. Existing clinical chemotherapy treatments are notably limited by drug resistance and systemic toxic side effects caused by off target drugs. Sonodynamic therapy (SDT) has emerged as a promising approach in cancer treatment, motivating researchers to explore synergistic combinations with other therapies for enhanced efficacy. In this study, we developed magnetic sonodynamic nanorobot (Fe3O4@SiO2-Ce6, FSC) by applying a SiO2 coating onto Fe3O4 nanoparticle, followed by coupling with the sonosensitizer Ce6. The magnetic FSC nanorobot collectives could gather at fixed point and actively move to target site regulated by magnetic field. In vitro experiments revealed that the magnetic FSC nanorobot collectives enabled directional navigation to the tumor cell area under guidance. Furthermore, under low-intensity ultrasonic stimulation, FSC nanorobot collectives mediated sonodynamic therapy exhibited remarkable anti-tumor performance. These findings suggest that magnetically actuated sonodynamic nanorobot collectives hold promising potential for application in target cancer therapy.

[Prediction of Spatial Distribution of Heavy Metals in Cultivated Soil Based on Multi-source Auxiliary Variables and Random Forest Model].

Spatial prediction of the concentrations of soil heavy metals (HMs) in cultivated land is critical for monitoring cultivated land contamination and ensuring sustainable eco-agriculture. In this study, 32 environmental variables from terrain, climate, soil attributes, remote-sensing information, vegetation indices, and anthropogenic activities were used as auxiliary variables, and random forest (RF), regression Kriging (RK), ordinary Kriging (OK), and multiple linear regression (MLR) models were proposed to predict the concentrations of As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn in cultivated soils. In comparison to those of RK, OK, and MLR, the RF model had the best prediction performance for As, Cd, Cr, Hg, Pb, and Zn, whereas the OK and RK models had highest prediction performance for Cu and Ni, respectively, showing that R2 was the highest, and mean absolute error (MAE) and root mean square error (RMSE) were the lowest. The prediction performance of the spatial distribution of soil HMs under different prediction methods was basically consistent. The high value areas of eight HMs concentrations were all distributed in the southern plain area. However, the RF model depicted the details of spatial prediction more prominently. Moreover, the importance ranking of influencing factors derived from the RF model indicated that the spatial variation in concentrations of the eight HMs in Lanxi City were mainly affected by the combined effects of Se, TN, pH, elevation, annual average temperature, annual average rainfall, distance from rivers, and distance from factories. Given the above, random forest models could be used as an effective method for the spatial prediction of soil heavy metals, providing scientific reference for regional soil pollution investigation, assessment, and management.

Advance on Chinese Medicine for Hypertensive Renal Damage: Focus on the Complex Molecular Mechanisms.

Hypertensive renal damage (HRD) is a major cause of end-stage renal disease. Among the causes of end-stage renal disease, HRD accounts for nearly 34% of the total number of cases. Antihypertensive treatment is primarily drug-based, but therapeutic efficacy is less effective and can have serious side effects. Chinese medicine (CM) has significant advantages in the treatment of HRD. CM is rich in various active ingredients and has the property of targeting multiple targets and channels. Therefore, the regulatory network of CM on disease is complex. A large number of CM have been employed to treat HRD, either as single applications or as part of compound formulations. The key possible mechanisms of CM for HRD include regulation of the renin-angiotensin-aldosterone system, antioxidation, anti-inflammation, rescue of endothelial function, regulation of vasoactive substance secretion and obesity-related factors, etc. This review summarized and discussed the recent advance in the basic research mechanisms of CM interventions for HRD and pointed out the challenges and future prospects.

Development and validation of a nomogram to predict medication risk based on a knowledge, attitude and practice (KAP) survey of residents in Shanxi Province, China.

Objective: Unsafe medication practices and medication errors are a major cause of harm in healthcare systems around the world. This study aimed to explore the factors that influence the risk of medication and provide medication risk evaluation model for adults in Shanxi province, China. Methods: The data was obtained from the provincial questionnaire from May to December 2022, relying on the random distribution of questionnaires and online questionnaires by four hospitals in Shanxi Province. Multiple linear regression analysis was used to explore the factors affecting the KAP score of residents. Univariate and multivariate logistic regression was used to determine the independent risk factors, and the nomogram was verified by receiver operating characteristic curve, calibration and decision curve analysis. Results: A total of 3,388 questionnaires were collected, including 3,272 valid questionnaires. The average scores of drugs KAP were 63.2 ± 23.04, 33.05 ± 9.60, 23.67 ± 6.75 and 33.16 ± 10.87, respectively. On the evaluation criteria of the questionnaire, knowledge was scored "fair", attitude and practice were scored "good". Sex, monthly income, place of residence, insurance status, education level, and employment were regarded as independent risk factors for medication and a nomogram was established by them. Conclusion: Males, low-income, and low-educated people are important factors affecting the risk of medication. The application of the model can help residents understand the risk of their own medication behavior and reduce the harm of medication.

Predicting coronary heart disease in Chinese diabetics using machine learning.

Diabetes, a common chronic disease worldwide, can induce vascular complications, such as coronary heart disease (CHD), which is also one of the main causes of human death. It is of great significance to study the factors of diabetic patients complicated with CHD for understanding the occurrence of diabetes/CHD comorbidity. In this study, by analyzing the risk of CHD in more than 300,000 diabetes patients in southwest China, an artificial intelligence (AI) model was proposed to predict the risk of diabetes/CHD comorbidity. Firstly, we statistically analyzed the distribution of four types of features (basic demographic information, laboratory indicators, medical examination, and questionnaire) in comorbidities, and evaluated the predictive performance of three traditional machine learning methods (eXtreme Gradient Boosting, Random Forest, and Logistic regression). In addition, we have identified nine important features, including age, WHtR, BMI, stroke, smoking, chronic lung disease, drinking and MSP. Finally, the model produced an area under the receiver operating characteristic curve (AUC) of 0.701 on the test samples. These findings can provide personalized guidance for early CHD warning for diabetic populations.

Electroacupuncture Promotes Angiogenesis in Mice with Cerebral Ischemia by Inhibiting miR-7.

OBJECTIVE: To observe the angiogenesis effect of electroacupuncture (EA) at Shuigou acupoint (GV 26) in the treatment of cerebral ischemia, and explore the value of miRNA-7 (miR-7) in it. METHODS: First, 48 mice were randomly divided into sham operation, middle cerebral artery occlusion (MCAO) model, and EA treatment groups. Then 9 mice were divided into carrier control group, miR-7 knockout group and miR-7 overexpression group (n=3 each group). Finally, 20 mice were divided into model and carrier control group, model and miR-7 knockout group, EA treatment and carrier control group and EA treatment and miR-7 overexpression group, with 3-6 mice in each group. The MCAO model was established in the MCAO and EA groups. Neurological deficit score and 2,3,5-triphenyltetrazolium chloride (TTC) staining were used to evaluate the severity of cerebral ischemia. Hematoxylin-eosin staining was used to describe basic pathological changes. Immunohistochemistry was used to quantify cerebral microvessel density. Real-time PCR and Western blot were used to detect the expression of miR-7 and its downstream target genes Krüppel-like factor 4/vascular endothelial growth factor (KLF4/VEGF) and angiopoietin-2 (ANG-2) in the ischemic cerebral cortex. RESULTS: After EA, neurological deficit scores and infarction volumes decreased, and the density of cerebral microvessels increased. In the MCAO group, miR-7 expression was higher than that in the sham group (P<0.01). After EA at GV 26, miR-7 expression decreased (P<0.01) and the expression of downstream target genes KLF4/VEGF and ANG-2 increased as compared with the MCAO group (P<0.01). After EA combined with overexpression of miR-7, the expression of downstream target genes KLF4/VEGF and ANG-2 decreased compared to the control EA group (P<0.01). After miR-7 knockdown, the expression of KLF4/VEGF and ANG-2 increased (P<0.05 or P<0.01). CONCLUSIONS: EA could promote angiogenesis in MCAO mice likely by inhibiting the expression of miR-7 and relieving inhibition of downstream target genes KLF4/VEGF and ANG-2.