[Effects of Continuous Cropping on the Physiochemical Properties, Pesticide Residues, and Microbial Community in the Root Zone Soil of Lycium barbarum].

Continuous cropping is a common obstacle limiting the high quality and yield of Lycium barbarum （wolfberry）. To clarify the response of soil characteristics of the wolfberry root zone to continuous cropping years, we systematically determined the physicochemical properties and pesticide residues of soils in the wolfberry root zone with different continuous cropping years. In addition, soil bacterial and fungal communities were characterized using high-throughput sequencing technology. The results were as follows： The content of total salt and imidacloprid in the root zone of wolfberry increased with increasing years of continuous cropping. Compared to that with 2 and 9 years, the total salt content in the root zone of wolfberry with 15 years of continuous cropping increased by 51.97% and 54.33%, respectively, and the imidacloprid content increased by 39.58% and 36.61%, respectively. Alkaline nitrogen and available potassium showed an increasing and then decreasing trend. Compared to that with 2 and 15 years, alkaline nitrogen and available potassium in the root-soil of wolfberry with 9 years of continuous cropping increased by 16.94%-28.09% and 18.31%-18.34%, respectively. The diversity and abundance of bacterial communities and the abundance of fungal communities were higher in the root-soil of wolfberry with 9 years of continuous cropping compared to that with 15 years of continuous cropping. In addition, the increase in continuous cropping years also increased the accumulation of harmful plant pathogens such as Pseudomonas, Arthrobacter, Actinomucor, and Trichoderma in the root zone of L. barbarum. Soil total salinity, organic matter, alkaline hydrolyzable nitrogen, and available potassium were the main factors influencing the distribution of bacterial communities. Soil alkaline hydrolyzable nitrogen, available potassium, and ammonium nitrogen were the main factors influencing the distribution of fungal communities. In addition, the soil bacteria in the root zone of L. barbarum were dominated by metabolic functions； in particular, amino acid metabolism, energy metabolism, and nucleotide metabolism were most abundant in the root soil of wolfberry with 9 years of continuous cropping, whereas the highest abundance of functional genes related to membrane translocation was found in the root-soil of wolfberry with 15 years of continuous cropping. The soil fungi were all dominated by saprophytic trophic types, followed by pathogenic cross-nutrients in the root zone of L. barbarum. In conclusion, long-term continuous cropping induced changes in the soil microenvironment in the root zone of L. barbarum, increased soil residues of harmful pesticides and the enrichment of plant pathogens, and reduced the diversity of soil bacterial and fungal communities. Therefore, it is necessary to control the rate of application of soil nutrients and pesticides in the management of L. barbarum and to carry out deep ploughing and deep tilling in good time, and the turnover of old plants in the cultivation of L. barbarum.

[Establishment and content validity assessment of evaluation index system for development value of traditional Chinese medicine preparations in medical institutions].

The development of traditional Chinese medicine(TCM) preparations as an incubator for new drugs in medical institutions has flourished, while an evaluation index system remains to be established for comprehensively assessing the development value of these prescriptions. This study established an item pool through literature research, employed the Delphi method to determine the content of evaluation indexes, and adopted the superiority chart to determine the weight of each index. Two-level evaluation index system for the development value of TCM preparations in medical institutions was established, which included 7 first-level items and 36 se-cond-level items, demonstrating scientific validity. The first-level items(weight) were inheritance(10.61%), effectiveness(23.22%), safety(22.71%), innovation(13.21%), economy(10.00%), suitability(8.57%), and accessibility(11.68%). The top three second-level items in terms of weight distribution were adverse reaction monitoring(6.73%), evidence of therapeutic effect(5.71%), and clinical response rate(4.75%). The bottom three second-level items were production advantages(0.86%), medicinal dosage(0.48%), and medicinal smell or taste(0.18%). The content validity of the established system was assessed, which revealed that the index system was reliable, with the overall and average content validity indexes of 0.47 and 0.90, respectively. Furthermore, the established evaluation index system was used to evaluate six TCM preparations in a city-level hospital of TCM in Sichuan Province, which demonstrated that the system had operability. The results indicate that the evaluation index system is scientific, reliable, and operable, providing a reference for developers to selectively develop TCM preparations in medical institutions. In practical application, the system can be adjusted regarding the index weights according to actual conditions.

STOP1 regulates CCX1-mediated Ca2+ homeostasis for plant adaptation to Ca2+ deprivation.

Calcium (Ca) is essential for plant growth and stress adaptation, yet its availability is often limited in acidic soils, posing a major threat to crop production. Understanding the intricate mechanisms orchestrating plant adaptation to Ca deficiency remains elusive. Here, we show that the Ca deficiency-enhanced nuclear accumulation of the transcription factor SENSITIVE TO PROTON RHIZOTOXICITY 1 (STOP1) in Arabidopsis thaliana confers tolerance to Ca deprivation, with the global transcriptional responses triggered by Ca deprivation largely impaired in the stop1 mutant. Notably, STOP1 activates the Ca deprivation-induced expression of CATION/Ca2+ EXCHANGER 1 (CCX1) by directly binding to its promoter region, which facilitates Ca2+ efflux from endoplasmic reticulum to cytosol to maintain Ca homeostasis. Consequently, the constitutive expression of CCX1 in the stop1 mutant partially rescues the Ca deficiency phenotype by increasing Ca content in the shoots. These findings uncover the pivotal role of the STOP1-CCX1 axis in plant adaptation to low Ca, offering alternative manipulating strategies to improve plant Ca nutrition in acidic soils and extending our understanding of the multifaceted role of STOP1.

[Estimation of soil moisture and organic matter content in saline alkali farmland by using CARS algorithm combined with covariates]. / 利用CARS算法联合协变量估算盐碱农田土壤水分和有机质含量.

Rapid acquisition of the data of soil moisture content (SMC) and soil organic matter (SOM) content is crucial for the improvement and utilization of saline alkali farmland soil. Based on field measurements of hyperspectral reflectance and soil properties of farmland soil in the Hetao Plain, we used a competitive adaptive reweighted sampling algorithm (CARS) to screen sensitive bands after transforming the original spectral reflectance (Ref) into a standard normal variable (SNV). Strategies Ⅰ, Ⅱ, and Ⅲ were used to model the input variables of Ref, Ref SNV, Ref-SNV+ soil covariate (SC), and digital elevation model (DEM). We constructed SMC and SOM estimation models based on random forest (RF) and light gradient boosting machine (LightGBM), and then verified and compared the accuracy of the models. The results showed that after CARS screening, the sensitive bands of SMC and SOM were compressed to below 3.3% of the entire band, which effectively optimized band selection and reduced redundant spectral information. Compared with the LightGBM model, the RF model had higher accuracy in SMC and SOM estimation, and the input variable strategy Ⅲ was better than Ⅱ and Ⅰ. The introduction of auxiliary variables effectively improved the estimation ability of the model. Based on comprehensive analysis, the coefficient of determination (Rp2), root mean square error (RMSE), and relative analysis error (RPD) of the SMC estimation model validation based on strategy Ⅲ-RF were 0.63, 3.16, and 2.01, respectively. The SOM estimation models based on strategy Ⅲ-RF had Rp2, RMSE, and RPD of 0.93, 1.15, and 3.52, respectively. The strategy Ⅲ-RF model was an effective method for estimating SMC and SOM. Our results could provide a new method for the rapid estimation of soil moisture and organic matter content in saline alkali farmland.

[Element relationship and extension path of clinical evidence knowledge map with Chinese patent medicine].

This study aims to construct the element relationship and extension path of clinical evidence knowledge map with Chinese patent medicine, providing basic technical support for the formation and transformation of the evidence chain of Chinese patent medicine and providing collection, induction, and summary schemes for massive and disorganized clinical data. Based on the elements of evidence-based PICOS, the conventional construction methods of knowledge graph were collected and summarized. Firstly, the data entities related to Chinese patent medicine were classified, and entity linking was performed(disambiguation). Secondly, the study associated and classified the attribute information of the data entity. Finally, the logical relationship between entities was constructed, and then the element relationship and extension path of the knowledge map conforming to the characteristics of clinical evidence of Chinese patent medicine were summarized. The construction of the clinical evidence knowledge map of Chinese patent medicine was mainly based on process design and logical structure, and the element relationship of the knowledge map was expressed according to the PICOS principle and evidence level. The extension path crossed three levels(model layer, data layer application, and new evidence application), and the study gradually explored the path from disease, core evaluation indicators, Chinese patent medicine, core prescriptions, syndrome and treatment rules, and medical case comparison(evolution law) to new drug research and development. In this study, the top-level design of the construction of the clinical evidence knowledge map of Chinese patent medicine has been clarified, but it still needs the joint efforts of interdisciplinary disciplines. With the continuous improvement of the map construction technology in line with the characteristics of TCM, the study can provide necessary basic technical support and reference for the development of the TCM discipline.

[Guidelines for post-marketing research on clinical effectiveness of Chinese patent medicines].

Due to the lack of specialized guidance, the post-marketing research on clinical effectiveness of Chinese patent medicines demonstrates varied quality and lacks high-quality evidence, failing to meet the demands of policy-making, clinical decision-making, and industrial decision-making. To address this issue, this project gathered experts in clinical medicine, clinical pharmacy, evidence-based medicine, drug epidemiology, medical ethics, and policy and regulation in China. They referred to the model of international post-marketing research on medicines and developed Guidelines for post-marketing research on clinical effectiveness of Chinese patent medicines under the framework of relevant laws and regulations and technical guidance documents in China. The guidelines were developed with consideration to the characteristics of Chinese patent medicines, China's national conditions, and all the stakeholders including marketing authorization holders, clinical researchers, drug administration, and users. The development of the guidelines followed the requirements for developing group standards set by the China Association of Chinese Medicine. The guidelines fully implement the concept of full life-cycle research, emphasizing the combination of traditional Chinese medicine(TCM) theory, human use experience, and clinical trials and pay attention to the compliance, scientificity, and ethics of research. The guidelines clarify the topic selection and decision-making path of the post-marketing research on effectiveness of Chinese patent medicines through six steps: determining research purpose, analyzing drug characteristics, evaluating research basis, proposing clinical orientation, clarifying research purpose, and implementing classified research. The general principles of research design and implementation were clarified from eight aspects: research type, research objects, sample size, efficacy indicators, bias, missing data, evidence level, and practicality. It focuses on the research on the TCM syndrome-based efficacy evaluation, clinical value-oriented mechanism of action, and the effectiveness of Chinese patent medicines with different routes of administration. The guidelines provide a universal methodological basis for the post-marketing research on clinical effectiveness of Chinese patent medicines.

Inversion of soil water and salt information based on UAV hyperspectral remote sensing and machine lear-ning.

Accurate diagnosis of water and salt information in saline agricultural lands is crucial for long-term soil quality improvement and arable land conservation. In this study, we extracted field-scale vegetation canopy spectral information by UAV hyperspectral information, transforming the reflectance (R) to standard normal variate transformation (SNV), multiplicative scatter correction (MSC), first derivative of reflectance (FDR) and second derivative of reflectance (SDR). We determined the optimal spectral transformation forms of soil water content (SWC), soil pH, and soil salt content (SSC) by the maximum absolute correlation coefficient (MACC), and extracted the feature bands by competitive adaptive reweighted sampling (CARS). We constructed an inversion model of soil water and salt information by partial least squares regression (PLSR), random forest (RF), and extreme gradient boosting (XGBoost). The results showed that R, FDR and MSC were the best spectral transformation types for soil water content, soil pH, and soil salt content, and the corresponding MACC were 0.730, 0.472 and 0.654, respectively. The CARS algorithm effectively eliminated the irrelevant variables, optimally selecting 16-17 feature bands from 150 spectral bands. Both soil water content and soil pH performed best with XGBoost model, achieving determination coefficient of validation (Rp2) 0.927 and 0.743, and the relative percentage difference (RPD) amounted to 3.93 and 2.45. For soil salt content, the RF model emerged as the best inversion method with Rp2 and RPD of 0.427 and 1.64, respectively. The study could provide a reference solution for the integrated remote sensing monitoring of soil water and salt information in space and sky, serving as a scientific guide for the amelioration and sustainable management of saline lands.

[Effect of moxibustion at "Mingmen" (GV 4) and "Guanyuan" (CV 4) on immune function in healthy rats based on intestinal flora].

OBJECTIVE: To observe the effects of moxibustion at "Mingmen" (GV 4) and "Guanyuan" (CV 4) on immune function and intestinal flora in healthy rats, thereby investigating the underlying mechanism of moxibustion on immune function. METHODS: Twenty 8-week-old SD rats were randomly divided into a young blank group and a young moxibustion group, with 10 rats in each group. Similarly, twenty 8-month-old SD rats were randomly divided into a middle-aged blank group and a middle-aged moxibustion group, with 10 rats in each group. The rats in the two moxibustion groups received moxibustion at "Mingmen" (GV 4) and "Guanyuan" (CV 4), 15 min per session, once daily, five times a week, for a total of four months. The rats in the two blank groups were fed under normal conditions. After the intervention, thymus and spleen indexes were calculated; the morphology of thymus and spleen tissues was observed using HE staining; the flow cytometry was used to detect the expression of CD and CD T lymphocytes and the CD/CD ratio was calculated; ELISA was used to measure the serum levels of tumor necrosis factor-alpha (TNF-α), interferon-gamma (IFN-γ), interleukin-6 (IL-6), interleukin-10 (IL-10), and interleukin-17 (IL-17); 16S rRNA high-throughput sequencing was used to analyze the intestinal flora. Additionally, the correlation between the relative abundance of intestinal flora and serum levels of TNF-α, IFN-γ, IL-6, IL-10 and IL-17 was analyzed. RESULTS: Compared with the young blank group, the young moxibustion group exhibited an increase in the cortical area of thymus tissue with tighter lymphocyte arrangement; compared with the middle-aged blank group, the middle-aged moxibustion group showed an increase in thymus index (P<0.05) and an increase in the cortical area of thymus tissue. There were no significant differences in spleen index between the 2 moxibustion groups and the 2 blank groups (P>0.05). There were no significant differences in the expression of CD, CD, and CD/CD ratio between the 2 moxibustion groups and the corresponding blank groups (P>0.05). Compared with the young blank group, the young moxibustion group had elevated IL-6 level (P<0.05); compared with the middle-aged blank group, the middle-aged moxibustion group had decreased IL-10 and IL-17 levels (P<0.05). Compared with the young blank group, the young moxibustion group exhibited increased Sobs index, Ace index, and Chao index (P<0.01, P<0.05), as well as increased relative abundance of Spirochaetota, Treponema, Turicibacter, Rikenellaceae_RC9_gut_group (P<0.05), and decreased relative abundance of Dubosiella (P<0.05). Compared with the middle-aged blank group, the middle-aged moxibustion group had increased relative abundance of Spirochaetota, Treponema, norank_f_Peptococcaceae (P<0.05), and decreased relative abundance of Proteobacteria, Allobaculum, and Faecalibaculum (P<0.05). Correlation analysis revealed that relative abundance of Eubacterium_xylanophilum_group and unclassified _f_Lachnospiraceae was negatively correlated with serum TNF-α level (r=-0.39, P=0.03; r=-0.24, P=0.04), while relative abundance of norank_f_norank_o_Clostridia_UCG-014 and Lactobacillus was positively correlated with serum TNF-α level (r=0.37, P=0.04; r=0.43, P=0.02). The relative abundance of Roseburia and Monoglobus was negatively correlated with serum IFN-γ level (r=-0.40, P=0.02; r=-0.44, P=0.01), while relative abundance of Lactobacillus was positively correlated with serum IL-10 level (r=0.43, P=0.02). CONCLUSION: Moxibustion could improve immune function in healthy rats, and its mechanism may be related to the regulation of relative abundance of intestinal flora.

The role and advantage of traditional Chinese medicine in the prevention and treatment of COVID-19.

The global coronavirus disease 2019 (COVID-19) pandemic has had a massive impact on global social and economic development and human health. By combining traditional Chinese medicine (TCM) with modern medicine, the Chinese government has protected public health by supporting all phases of COVID-19 prevention and treatment, including community prevention, clinical treatment, control of disease progression, and promotion of recovery. Modern medicine focuses on viruses, while TCM focuses on differential diagnosis of patterns associated with viral infection of the body and recommends the use of TCM decoctions for differential treatment. This differential diagnosis and treatment approach, with its profoundly empirical nature and holistic view, endows TCM with an accessibility advantage and high application value for dealing with COVID-19. Here, we summarize the advantage of and evidence for TCM use in COVID-19 prevention and treatment to draw attention to the scientific value and accessibility advantage of TCM and to promote the use of TCM in response to public health emergencies. Please cite this article as: Huang M, Liu YY, Xiong K, Yang FW, Jin XY, Wang ZQ, Zhang JH, Zhang BL. The role and advantage of traditional Chinese medicine in the prevention and treatment of COVID-19. J Integr Med. 2023; 21(5): 407-412.

[Overview of systematic reviews of Chinese herbal injections for sepsis].

In this study, an overview of systematic reviews/Meta-analysis(SR/MA) of Chinese herbal injections for sepsis was performed to provide references for clinical practice and promote the quality improvement of clinical evidence. Eight Chinese and English databases such as CNKI, Medline, and EMbase were electronically searched for SR/MA of Chinese herbal injections for sepsis from database inception to June 2022. AMSTAR 2, PRISMA 2020, and GRADE system, combined with Recommendations for Clinical Evidence Grading on Traditional Chinese Medicine Based on Evidence Body, were applied to evaluate the methodological quality, reporting quality, and evidence quality of the included articles. Twenty-seven articles of SR/MA were included, containing four Chinese herbal injections(Xuebijing Injection, Shenfu Injection, Shenmai Injection, and Shengmai Injection). AMSTAR 2 checklist showed that the methodological quality of the SR/MA ranged from moderate to very low. Item 2(prior study design) was the critical item with poor scores, and the non-critical items with poor scores were items 3(explain the selection of the study designs), items 10(report on the sources of funding), and items 16(conflicts of interest stated). In terms of PRISMA 2020, items in eight topics with complete reporting of missing>50%, including search strategy, certainty assessment, results of syntheses, certainty of evidence, registration and protocol, support, competing interests, availability of data, code and other materials. The included SR/MA involved 30 outcome indicators. Evidence quality of mortality, APACHE Ⅱ, and safety, the top three outcome indicators, was evaluated, and all of them were graded as the medium level. The lack of random allocation sequence, allocation concealment mechanism, blinding, and trial sample size was the main reason for the reduction of the evidence level. The available evidence shows that Chinese herbal injections can serve as an effective and safe adjunctive treatment for sepsis, which can reduce mortality, inhibit inflammation, improve coagulation function, and regulate immune function, tissue perfusion, and oxygenation in patients with sepsis. However, the quality of SR/MA was suboptimal, and more high-quality SR/MA is needed to provide evidence to support the efficacy and safety of Chinese herbal injections in the treatment of sepsis.

Hyperspectral inversion of soil water and salt information based on fractional order derivative technology.

Accurate and efficient acquisition of soil water and salt information is a prerequisite for the improvement and sustainable utilization of saline lands. With the ground field hyperspectral reflectance and the measured soil water-salt content as data sources, we used the fractional order differentiation (FOD) technique to process hyperspectral data (with a step length of 0.25). The optimal FOD order was explored at the correlation level of spectral data and soil water-salt information. We constructed two-dimensional spectral index, support vector machine regression (SVR) and geographically weighted regression (GWR). The inverse model of soil water-salt content was finally evaluated. The results showed that FOD technique could reduce the hyperspectral noise and explore the potential spectral information to a certain extent, improve the correlation between spectrum and characteristics, with the highest correlation coefficients of 0.98, 1.35 and 0.33. The combination of characteristic bands screened by FOD and two-dimensional spectral index were more sensitive to characteristics than one-dimensional bands, with the optimal responses of order 1.5, 1.0 and 0.75. The optimal combinations of bands for maximum absolute correction coefficient of SMC were 570, 1000, 1010, 1020, 1330 and 2140 nm, pH were 550, 1000, 1380 and 2180 nm, and salt content were 600, 990, 1600 and 1710 nm, respectively. Compared with the original spectral reflectance, the validation coefficients of determination (Rp2) of the optimal order estimation models for SMC, pH, and salinity were improved by 1.87, 0.94 and 0.56, respectively. The overall GWR accuracy in the proposed model was better than SVR, where the GWR optimal order estimation models Rp2 were 0.866, 0.904 and 0.647, and the relative per-centage difference were 3.54, 4.25 and 1.86, respectively. The overall spatial distribution of soil water and salt content in the study area was characterized by low in the west and high in the east, with more serious soil alkalinization problems in the northwest and less severe in the northeast. The results would provide scientific basis for the hyperspectral inversion of soil water and salt in the Yellow River Irrigation Area and a new strategy for the implementation and management of precision agriculture in saline soil areas.

Estimation of soil organic matter content in Yinchuan Plain based on fractional derivative combined with spectral indices.

Soil organic matter (SOM) is a crucial indicator of soil fertility. Field hyperspectral reflectance and laboratory SOM data of soil samples from the Yinchuan Plain were used to explore the performance of models based on fractional derivative combined with different spectral indices. Following reciprocal and logarithmic transformation, the reflectance data were processed using fractional derivative from 0 to 2 orders (interval 0.20). Then, the difference index (DI), ratio index (RI), brightness index (BI), normalized difference index (NDI), renormalized difference index (RDI), and generalized difference index (GDI) were constructed. The two-dimensional correlation between the six indices and SOM content were analyzed. The optimal spectral indices were selected to establish SOM estimation models with principal component regression (PCR), partial least square regression (PLSR), back propagation neural network (BPNN), support vector machine (SVM), and geographically weighted regression (GWR). Results showed that the maximum absolute correlation coefficient (MACC) values between DI, RI, NDI, BI, GDI, RDI, and SOM contents increased firstly and then decreased, with the highest values observed at 1.0, 0.6, 1.4, and 1.6 orders. The 0.2-2.0 order RDI under fractional derivative variation could be used for subsequent model construction, in which the optimal combinations of bands for MACC values were mainly concentrated at 400-600 nm and 1300-1700 nm. Among the different models based on the single spectral index RDI, the model based on SVM achieved the highest estimation accuracy, whose modeling determination coefficient, verification determination coefficient and relative percentage difference reached 0.86, 0.87 and 2.32. Our results would provide a scientific reference for quick and accurate SOM assessment and mapping in areas with relatively low SOM content.

[Inheritance, innovation and development of traditional Chinese medicine in new era call for scientific supervision].

Pharmaceutical products need to ensure the effectiveness, safety and quality controllability through scientific supervision, and as the broad masses of the people are full of new expectations for the supply of high-quality traditional Chinese medicine products, the reform and innovation of traditional Chinese medicine regulatory policies are also facing new opportunities and new challenges. National Medical Products Administration, National Administration of Traditional Chinese Medicine and other relevant departments have implemented the requirements of the Party Central Committee and the State Council, vigorously promoted the reform of the regulatory system in line with the characteristics of traditional Chinese medicine, introduced a series of innovative policies, and achieved phased results. Including the new registration classification standards in line with the characteristics of traditional Chinese medicine, encouraging the development of classical formulas and hospital preparations, encouraging the research and development of symptomatic Chinese medicines, and gra-dually improving the "three-combined " evidence system. However, in the face of the development problems of traditional Chinese medicine in the new era, it is still necessary to improve the scientific supervision system, further optimize the management measures for the registration of traditional Chinese medicines based on classical formulas, accelerate the improvement of the standard system for traditional Chinese medicine formula granules, and form management measures to encourage and support the secondary development of traditional Chinese medicines. In terms of scientific supervision of traditional Chinese medicine, it is necessary to follow the characteristics and development laws of traditional Chinese medicine itself, comprehensively consider the characteristics of epochal, scientific and systematic in regulatory policies, and serve the inheritance and innovative development of traditional Chinese medicine with scientific supervision.

[Guideline for clinical comprehensive evaluation of Chinese patent medicine (2022 version)].

Currently,the research or publications related to the clinical comprehensive evaluation of Chinese patent medicine are increasing,which attracts the broad attention of all circles. According to the completed clinical evaluation report on Chinese patent medicine,there are still practical problems and technical difficulties such as unclear responsibility of the evaluation organization,unclear evaluation subject,miscellaneous evaluation objects,and incomplete and nonstandard evaluation process. In terms of evaluation standards and specifications,there are different types of specifications or guidelines with different emphases issued by different academic groups or relevant institutions. The professional guideline is required to guide the standardized and efficient clinical comprehensive evaluation of Chinese patent medicine and further improve the authority and quality of evaluation. In combination with the characteristics of Chinese patent medicine and the latest research achievement at home and abroad,the detailed specifications were formulated from six aspects including design,theme selection,content and index,outcome,application and appraisal,and quality control. The guideline was developed based on the guideline development requirements of China Assoication of Chinese medicine. After several rounds of expert consensus and public consultation,the current version of the guideline has been developed.

Ammonium improved cell wall and cell membrane P reutilization and external P uptake in a putrescine and ethylene dependent pathway.

Ammonium promotes rice P uptake and reutilization better than nitrate, under P starvation conditions; however, the underlying mechanism remains unclear. In this study, ammonium treatment significantly increased putrescine and ethylene content in rice roots under P deficient conditions, by increasing the protein content of ornithine decarboxylase and 1-aminocyclopropane-1-carboxylic acid (ACC) oxidase compared with nitrate treatment. Ammonium treatment increased rice root cell wall P release by increasing pectin content and pectin methyl esterase (PME) activity, increased rice shoot cell membrane P release by decreasing phosphorus-containing lipid components, and maintained internal P homeostasis by increasing OsPT2/6/8 expression compared with nitrate treatment. Ammonium also improved external P uptake by regulating root morphology and increased rice grain yield by increasing the panicle number compared with nitrate treatment. The application of putrescine and ethylene synthesis precursor ACC further improved the above process. Our results demonstrate for the first time that ammonium increases rice P acquisition, reutilization, and homeostasis, and rice grain yield, in a putrescine- and ethylene-dependent manner, better than nitrate, under P starvation conditions.

Incidence and risk of severe adverse events associated with trastuzumab emtansine (T-DM1) in the treatment of breast cancer: an up-to-date systematic review and meta-analysis of randomized controlled clinical trials.

OBJECTIVES: We performed an up-to-date meta-analysis to quantify the overall incidence and risk of severe adverse events (AEs) associated with T-DM1 in patients with breast cancer. METHODS: Pubmed, Embase, and oncology conference proceedings were searched for relevant studies. Data were extracted to calculate the summary incidence rate and relative risk (RR) of grade ≥3 AEs. RESULTS: A total of 5,045 patients from 7 RCTs were included in the meta-analysis. The use of T-DM1 was associated with an increased risk of severe thrombocytopenia (RR 10.66, 95% CI 3.23-35.18, P < 0.001), anemia (RR 1.68, 95% CI 1.15-2.44, P = 0.007), elevated ALT (RR 2.67, 95% CI 1.60-4.47, P < 0.001), and AST (RR 3.76, 95% CI 1.45-9.78, P = 0.007). In addition, the use of T-DM1 can increase the risk of severe hypertension (RR 1.59, 95% CI 1.03-2.45, P = 0.037) and peripheral sensory neuropathy (RR 8.13, 95% CI 1.89-35.03, P = 0.005). CONCLUSIONS: Treatment with T-DM1 increases the risk of severe hematologic toxicities, hepatotoxicity, hypertension, and peripheral sensory neuropathy in patients with breast cancer, while the overall incidence of these AEs is low.

[Distribution Characteristics of Antibiotics and Antibiotic Resistance Genes in Manure and Surrounding Soil of Poultry Farm in Ningxia].

Antibiotics and antibiotic resistance genes (ARGs) in livestock and poultry manure pose potential ecological risks. In order to understand the distribution characteristic of antibiotics and ARGs in manure and surrounding soils of poultry farms in Ningxia, the poultry manure and relative soil samples were collected from 12 layers of different poultry breeding farms. The compositions of antibiotics and ARGs in the samples were analyzed using UPLC-MS/MS and HT-qPCR. The results showed that:① tetracycline, aminoglycoside, and sulfonamide were the dominant antibiotics in poultry manure. The types and contents of antibiotics in poultry manure were different in different breeding periods. There were more types of antibiotics in the brooding period, the average content was high, and the initial stage showed the opposite trend. ② A small amount of antibiotics was detected in the surrounding soil only 20 m away from the poultry farm, and the poultry farm had little effect on the distribution of antibiotics in the surrounding soil. The content of quinolone in the soils with poultry manure application was significantly higher than that in the control and surrounding soil. ③ We detected 132-168 ARGs in poultry manure, and the number of aminoglycosides and tetracycline was higher. The relative abundance of ARGs in the rearing period was highest, and the initial stage showed the opposite trend. The total relative abundance of ARGs in the brooding period was highest, but the terminal period showed the opposite. There were 110 ARGs in poultry manure during all breeding periods. ④ There were 23-105 ARGs in the soils, and the number of aminoglycoside was highest, followed by multidrug ARGs. The poultry farm had a great effect on the number and relative abundance of ARGs in the surrounding soil. For example, the number and relative abundance of ARGs in the surrounding soil of poultry farms gradually decreased with the increase in the distance from the poultry farms. The number and relative abundance of ARGs in the soil with applied poultry manure were significantly increased; however, these values were lower than those in the soil 20 m away from the poultry farm. ⑤ ß-lactamases, aminoglycosides, and macrolide lincosamide-streptogramin B (MLSB) ARGs were all at risk of horizontal movement in manure, and chloramphenicol ARGs were at risk of horizontal movement in soil. Correlation analysis showed that the relative abundance of aminoglycoside, tetracycline, sulfonamide, ß-lactamase, and MLSB were not significantly correlated with their contents. ⑥ Different types of ARGs had related co-occurrence phenomena, such as the positive correlation between the relative abundance of ARGs in poultry manure, and aminoglycoside and ß-lactamases, MGEs, multidrugs and vancomycins. The relative abundances of ARGs in soil, aminoglycoside and tetracyclines, vancomycins, sulfonamides, and MLSBs; tetracyclines and MLSBs; etc., all showed a significant positive correlation. In short, the co-occurrence among the relative abundance of ARGs in soil was significantly stronger than that in poultry manure. These results could provide the theoretical basis for the site selection of poultry farms, the selection of antibiotic types and dosages for large-scale breeding of laying hens, and the application of poultry manure.

Combined Microbiome and Metabolome Analysis Reveals a Novel Interplay Between Intestinal Flora and Serum Metabolites in Lung Cancer.

As the leading cause of cancer death, lung cancer seriously endangers human health and quality of life. Although many studies have reported the intestinal microbial composition of lung cancer, little is known about the interplay between intestinal microbiome and metabolites and how they affect the development of lung cancer. Herein, we combined 16S ribosomal RNA (rRNA) gene sequencing and liquid chromatography-mass spectrometry (LC-MS) technology to analyze intestinal microbiota composition and serum metabolism profile in a cohort of 30 lung cancer patients with different stages and 15 healthy individuals. Compared with healthy people, we found that the structure of intestinal microbiota in lung cancer patients had changed significantly (Adonis, p = 0.021). In order to determine how intestinal flora affects the occurrence and development of lung cancer, the Spearman rank correlation test was used to find the connection between differential microorganisms and differential metabolites. It was found that as thez disease progressed, L-valine decreased. Correspondingly, the abundance of Lachnospiraceae_UCG-006, the genus with the strongest association with L-valine, also decreased in lung cancer groups. Correlation analysis showed that the gut microbiome and serum metabolic profile had a strong synergy, and Lachnospiraceae_UCG-006 was closely related to L-valine. In summary, this study described the characteristics of intestinal flora and serum metabolic profiles of lung cancer patients with different stages. It revealed that lung cancer may be the result of the mutual regulation of L-valine and Lachnospiraceae_UCG-006 through the aminoacyl-tRNA biosynthesis pathway, and proposed that L-valine may be a potential marker for the diagnosis of lung cancer.

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Soil salinization is one of key drivers for the degradation of soil quality and yield in arable land. To accurately and quickly evaluate soil salt content in Yinchuan Plain, field and indoor hyperspectral data were processed with first order differential (FDR) transformation, then the feature bands were identified by stepwise regression (SR). Partial least squares regression (PLSR) and support vector machines (SVM) were used to build models, which were verified to figure out the optimal hyperspectral type for the study area. Moreover, segmented and global corrections were performed to process poor hyperspectral, aiming to improve the accuracy of soil salt content inversion. The results showed that the accuracy of soil salt content inversion model based on field hyperspectral data was 58.9% higher than that of the indoor hyperspectral data. The accuracy of the inversion was improved through the segmented and global correction of the indoor hyperspectral. We found that the segmented correction is more accurate for the PLSR model (Rc2=0.790, Rp2=0.633, RPD=1.64) and the global correction is more accurate for the SVM model (Rc2=0.927, Rp2=0.947, RPD=3.87). The SVM models' inversion accuracy was higher than that of PLSR, with the field hyperspectral model fitted the best, followed by the indoor hyperspectral processed with the global correction and the indoor hyperspectral processed with the segmented correction, while the indoor hyperspectral the worst. Our results suggest that field hyperspectral data could contribute to the quantitative inversion of soil salt content in Yinchuan Plain. The corrected indoor hyperspectral could significantly enhance the inversion accuracy of soil salt content, which could guarantee food security and ecological quality development.

Unearthing the alleviatory mechanisms of hydrogen sulfide in aluminum toxicity in rice.

Hydrogen sulfide (H2S) improves aluminum (Al) resistance in rice, however, the underlying mechanism remains unclear. In the present study, treatment with 30-µM Al significantly inhibited rice root growth and increased the total Al content, apoplastic and cytoplasm Al concentration in the rice roots. However, pretreatment with NaHS (H2S donor) reversed these negative effects. Pretreatment with NaHS significantly increased energy production under Al toxicity conditions, such as by increasing the content of ATP and nonstructural carbohydrates. In addition, NaHS stimulated the AsA-GSH cycle to decrease the peroxidation damage induced by Al toxicity. Pretreatment with NaHS significantly inhibited ethylene emissions in the rice and then inhibited pectin synthesis and increased the pectin methylation degree to reduce cell wall Al deposition. The phytohormones indole-3-acetic and brassinolide were also involved in the alleviation of Al toxicity by H2S. The transcriptome results further confirmed that H2S alleviates Al toxicity by increasing the pathways relating to material and energy metabolism, redox reactions, cell wall components, and signal transduction. These findings improve our understanding of how H2S affects rice responses to Al toxicity, which will facilitate further studies on crop safety.