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Esophageal squamous cell carcinoma is a common malignancy in the Asia-Pacific region， especially in China， where the morbidity remains high in spite of the improved overall survival due to advances in medical technology. Immunotherapy becomes a hot spot in recent tumor research when it has provided significant survival benefits in patients with advanced malignant tumors， such as lung cancer， breast cancer， colon cancer， etc. In esophageal squamous cell carcinoma， immunotherapy promotes survival benefit as well. However， because of the complex and changeable biological functions and gene expression regulation of malignant tumors， the conclusions based on a single-omics analysis are often incomprehensive. Currently， most of the immune-related studies on esophageal squamous cell carcinoma are still confined to a single-omics study like genomics， with limitations and one-sidedness. Since multi-omics analysis helps us better understand tumors from a wider and deeper perspective， this review explores and summarizes immune-related features of esophageal squamous cell carcinoma from a multi-omics perspective.
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@#Bacterial antimicrobial resistance (AMR) is a globally serious problem that threatens public health security.Misuse and abuse of antibiotics cannot achieve the effect of treating bacterial infectious diseases, but will trigger the SOS response of bacteria, exacerbating the evolution of bacterial AMR and the spread of resistant bacteria.This article focuses on antibiotic-resistant bacteria, briefly introduces the pathogenesis of bacterial AMR and SOS response, and systematically summarizes the determination and mechanism study of bacterial AMR based on microfluidics and mass spectrometry.This article provides theoretical basis for AMR-related drug target mining and new drug development, aiming to develop new methods for rapid detection of bacterial AMR and new methods for bacteria inhibition, and promote the diagnosis and treatment of clinical bacteria infectious diseases.
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Superoxide dismutase (SOD) is a key enzyme that scavenge superoxide anion free radical (O2·-) in vivo, and plays an important role in plant growth and development and stress. In this study, according to the genome and transcriptome data of Salvia miltiorrhizae, 9 SOD genes were identified and the expression patterns of SOD family genes were further analyzed, including 5 Cu/Zn-SOD, 2 Fe-SOD and 2 Mn-SOD. On the basis of proteomic analysis, combined with transcriptome data, one full-length cDNA of Mn-SOD gene, namely SmMSD2 was cloned from Salvia miltiorrhizae. The results of amino acid sequence alignment and phylogenetic analysis showed that SmMSD2 protein belongs to the manganese superoxide dismutase (Mn-SOD) subfamily, and SmMSD2 protein shares high sequence identity with the Mn-SOD proteins of various plants that all contain a C-terminal conserved metal-binding domain "DVWEHAYY". The prokaryotic expression vector pMAL-c2X-SmMSD2 was constructed and transformed into E. coli BL21 expressing strain, and the target recombinant protein was successfully induced and its enzymatic properties were analyzed. Spatiotemporal expression analysis showed that SmMSD2 gene was expressed in all tissues, indicating that SmMSD2 gene was constitutively expressed at a stable level. Real-time quantitative PCR indicated that drought (15% PEG6000), abscisic acid (ABA) and indole-3-acetic acid (IAA) could induce the expression of SmMSD2 gene, suggesting that SmMSD2 may be involved in the response of Salvia miltiorrhizae to abiotic stress such as drought, as well as the signaling pathways of phytohormone ABA and IAA. These results lay the foundation for further elucidating the involvement of superoxide dismutase in the stress response and accumulation of active components of Salvia miltiorrhiza.
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Acute respiratory distress syndrome(ARDS)is one of the most common complications of sepsis, resulting in the high risk of death in patients with sepsis.By comparison with non-septic ARDS, sepsis-associated ARDS is characterized by high morbidity, heterogeneity and mortality.It is vital to early identify the occurrence of ARDS, accurately assess the severity, as well as effectively implement the individualized treatment.Based on the genome-wide association study, mass cytometry, and multiple omics data analysis, the molecular signatures of sepsis-associated ARDS have been elucidated, which were related to genetic susceptibility, inflammatory reaction pathway, and metabolic characteristics.The development of novel biomarkers is helpful to molecular classifier, risk stratification, early recognition and assessing severity, implement early intervention, then improving the prognosis.
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Clostridioides difficile infection (CDI) is an infectious disease with fever, abdominal pain and diarrhea as the main clinical manifestations. At present, CDI is mainly treated with antibiotics and faecal microbiota transplantation. As recurrent and refractory CDI continues to increase, it is important to seek a more effective alternative therapy. However, many of the studies on the prevention and control of CDI by probiotics are still in the early stage. This paper summarized the research on the types, mechanisms and technical means of probiotics in the treatment of CDI.
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Heart failure is the end stage of many cardiovascular diseases. It seriously affects the safety and quality of life of nearly 40 million people worldwide. At present, the clinical and pathophysiological characteristics of some types of heart failure are unknown, and there is no effective diagnosis and treatment. In recent years, genomics, transcriptomics, epigenomics, proteomics, metabolomics and other omics technologies have been widely used in disease research, providing new opportunities for the prevention, diagnosis and treatment of diseases. These strategies have also brought hope for the reduction in heart failure mortality. Based on the current status of clinical treatment of heart failure, this article reviews the roles and potential applications of these various omics technologies and their opportunities in the study of the pathogenesis of heart failure, clinical diagnosis and treatment, and related drug pharmacodynamics and mechanism of action.
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Traditional Chinese medicine (TCM) formulas have attracted increasing attention worldwide in the past few years for treating complex disease including rheumatoid arthritis. However, their mechanisms are complex and remain unclear. Guan-Jie-Kang (GJK), a prescription modified from "Wu Tou Decoction," was found to significantly relieve arthritis symptoms in rats with adjuvant-induced arthritis after 30-day treatment, especially in the 24 g/kg/day group. By analyzing 1749 targets related to 358 compounds in the five herbs of GJK, we identified the possible anti-arthritis pathways of GJK, including the calcium signaling and metabolic pathways. Bone damage levels were assessed by micro-computed tomography, and greater bone protective effect was observed with GJK treatment than with methotrexate. Receptor activator of nuclear factor κB ligand (RANKL)-RANK signaling, which is related to calcium signaling, was significantly regulated by GJK. Moreover, a target metabolomics assay of serum was conducted; 17 metabolic biomarkers showed significant correlations with treatment. An integrated pathway analysis revealed that pyruvate metabolism, purine metabolism, and glycolysis metabolism were significantly associated with the effects of GJK in arthritis treatment. Thus, this study establishes a new omics analytical method integrated with bioinformatics analysis for elucidating the multi-pathway mechanisms of TCM.
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It is widely accepted that a relatively small proportion of chronic disease can be explained by genetic factors alone. Although information about environmental exposure is important to comprehensively evaluate chronic diseases, this information is not sufficiently or accurately assessed by comparison with genomic factors. To emphasize the importance of more complete evaluation of environmental exposure, the concept of the exposome, which indicates the entirety of environmental exposure from conception onwards, was introduced in 2005. Since the 2010s several epidemiological studies, such as the Human Early-Life Exposome project, have applied the exposome concept. The exposome consists of three overlapping domains: the general external, the specific external, and the internal environments. General external factors include the broader socioeconomic environment, and specific external factors include lifestyles, occupations, and pollutant exposures. Internal factors include biological effects and responses. Because the exposome covers exposures from conception to death, the birth cohort is an important part of the exposome study. Although there is not yet an established consensus in selecting what, when, and where to measure concerning the exposome, the use of omics analyses, especially analysis of the metabolome, should be considered in order to implement the exposome concept in the birth cohort. The exposome needs to be measured repeatedly in certain important phases of life, such as during pregnancy and infancy. To perform exposome-informed epidemiological studies, untargeted data-driven approaches in conjunction with dimension reduction techniques need to be developed and refined. The exposome concept has the potential to make a breakthrough in overcoming some of the limitations of conventional epidemiology. Concerted national and international efforts are required for future exposome studies.