Human adrenomedullin (hAM) is a 52-amino-acid regulatory peptide containing a six-membered ring structure and an amidated C-terminus, features that are essential for its biological activity. Here, we describe a simple and effective protocol for producing large quantities of highly pure, functional recombinant hAM. A peptide precursor (hAM-Gly) was expressed in Escherichia coli as a fusion protein with thioredoxin and collected as inclusion bodies. The fusion protein was then digested with BLase, a glutamate-specific endopeptidase, to prepare hAM-Gly. The essential ring structure formed spontaneously, while the terminal amide was generated by conversion of the added glycine residue using peptidylglycine alpha-amidating enzyme. The low solubility of hAM-Gly enabled the use of a selective precipitation/extraction method to generate a product that was 80-90% pure, which was sufficient to proceed with the alpha-amidating enzyme reaction. The resultant hAM was then purified further by column chromatography. The final yield was about 82 mg/L of bacterial culture, and the purity, determined by reverse phase HPLC, was >99.5%. The recombinant hAM was biologically active, eliciting concentration-dependent increases in cAMP in CHO-K1 cells expressing a specific hAM receptor and hypotensive responses when intravenously injected into rats. This new approach to the synthesis of hAM is simpler and more cost-effective for large-scale production than chemical synthesis. It therefore represents a new powerful tool that has the potential to facilitate analysis of the structure and function of hAM, as well as the development of new therapeutic protocols for the treatment of ailments such as hypertension.
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http://dx.doi.org/10.1016/s1046-5928(02)00030-x | DOI Listing |
BMC Genomics
January 2025
Gansu Key Laboratory of Herbivorous Animal Biotechnology, College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China.
Wool growth and fineness regulation is influenced by some factors such as genetics and environment. At the same time, lncRNA participates in numerous biological processes in animal production. In this research, we conducted a thorough analysis and characterization of the microstructure of wool, along with long non-coding RNAs (lncRNAs), their target genes, associated pathways, and Gene Ontology terms pertinent to the wool fineness development.
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January 2025
Department of Civil and Environmental Engineering, Khalifa University of Science and Technology, Abu Dhabi, UAE.
Bathymetric mapping of the coastal area is essential for coastal development and management. However, conventional bathymetric measurement in coastal areas is resource-expensive and under many constraints. Various research have been conducted to improve the efficiency or effectiveness of bathymetric estimations.
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January 2025
Yunnan Phosphating Group Co., Ltd, Kunming, 650600, China.
Due to the fluidity of the loose medium inside the waste dump slope, the traditional monitoring system cannot fully reflect the misalignment and slip between particles inside the medium, and it is also difficult to capture the precursor information of the slip of the loose accumulation body. To reveal the dynamic evolution process of the slope instability of the waste dump slope, the coupling test system of the slope instability of the waste dump slope was used to carry out the study of the acoustic emission characteristics of the slope instability dynamic response of the dump slope under the action of vibration, and to quantitatively analyse the staged characteristics of the acoustic emission parameter evolution of the dump slope under the action of different vibration frequencies and its instability initiation node. The results show that with the increase of vibration frequency, the damage mode of the slope model gradually changes from sliding of small particles to large-scale landslides, and presents the stage process of "vibration compaction → vibration equilibrium → dynamic instability"; Under the action of low-frequency and high-amplitude, the slope model mainly shows that the tiny particles and the basement gravel slip, which is difficult to capture with the naked eye, while under the action of high-frequency and low-amplitude, the slope surface is damaged in a large area, and the overall model is unstable; The dynamic instability of the waste dump slope is accompanied by obvious acoustic emission activities, and the changes of the characteristic parameters of acoustic emission reveal, to a certain extent, the evolution of the internal state of the slope in the process of dynamic instability of the waste dump slope and its stage characteristics; The amplitude and energy efficiency of acoustic emission in the time domain show obvious fractal characteristics in the dynamic instability of the waste dump slope.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Medical Big Data Research Center, Chinese PLA General Hospital, Beijing, China.
Background: Machine learning models can reduce the burden on doctors by converting medical records into International Classification of Diseases (ICD) codes in real time, thereby enhancing the efficiency of diagnosis and treatment. However, it faces challenges such as small datasets, diverse writing styles, unstructured records, and the need for semimanual preprocessing. Existing approaches, such as naive Bayes, Word2Vec, and convolutional neural networks, have limitations in handling missing values and understanding the context of medical texts, leading to a high error rate.
View Article and Find Full Text PDFACS Infect Dis
January 2025
Department of Microbiology, Genetics, and Immunology, Michigan State University, East Lansing, Michigan 48824, United States.
Group B (GBS) is a major cause of fetal and neonatal mortality worldwide. Many of the adverse effects of invasive GBS are associated with inflammation; therefore, understanding bacterial factors that promote inflammation is of critical importance. Membrane vesicles (MVs), which are produced by many bacteria, may modulate host inflammatory responses.
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