Exploring the potential of omics technologies in medicinal plant research: a review in Colombia / Explorando el potencial de las tecnologías ómicas en la investigación de plantas medicinales: una revisión en Colombia

This review presents advances in the implementation of high - throughput se quencing and its application to the knowledge of medicinal plants. We conducted a bibliographic search of papers published in PubMed, Science Direct, Google Scholar, Scopus, and Web of Science databases and analyzed the obtained data using VOSviewer (versi on 1.6.19). Given that medicinal plants are a source of specialized metabolites with immense therapeutic values and important pharmacological properties, plant researchers around the world have turned their attention toward them and have begun to examine t hem widely. Recent advances in sequencing technologies have reduced cost and time demands and accelerated medicinal plant research. Such research leverages full genome sequencing, as well as RNA (ribonucleic acid) sequencing and the analysis of the transcr iptome, to identify molecular markers of species and functional genes that control key biological traits, as well as to understand the biosynthetic pathways of bioactive metabolites and regulatory mechanisms of environmental responses. As such, the omics ( e.g., transcriptomics, metabolomics, proteomics, and genomics, among others) have been widely applied within the study of medicinal plants, although their usage in Colombia is still few and, in some areas, scarce. (185)

El extracto de cloroformo (CE) y las fracciones obtenidas de las raíces de Aldama arenaria se evaluaron para determinar su actividad antiproliferativa in vitro contra 10 líneas ce lulares tumorales humanas [leucemia (K - 562), mama (MCF - 7), ovario que expresa un fenotipo resistente a múltiples fármacos (NCI/ADR - RES), melanoma (UACC - 62), pulmón (NCI - H460), próstata (PC - 3), colon (HT29), ovario (OVCAR - 3), glioma (U251) y riñón (786 - 0)]. CE presentó actividad antiproliferativa débil a moderada (log GI 50 medio 1.07), mientras que las fracciones 3 y 4, enriquecidas con diterpenos de tipo pimarane [ent - pimara - 8 (14), ácido 15 - dien - 19 - oico y ent - 8(14),15 - pimaradien - 3 ß - ol], presentaron activid ad moderada a potente para la mayoría de las líneas celulares, con un log GI 50 medio de 0.62 y 0.59, respectivamente. Los resultados mostraron una acción antiproliferativa in vitro prometedora de las muestras obtenidas de A. arenaria , con los mejores resul tados para NCI/ADR - RES, HT29 y OVCAR - 3, y valores de TGI que van desde 5.95 a 28.71 µg.mL - 1, demostrando que los compuestos de esta clase pueden ser prototipos potenciales para el descubrimiento de nuevos agentes terapéuticos

Sepsis endotype-changes over time and space / 中国小儿急救医学

The heterogeneity of sepsis plays critical roles in determining the response of clinical intervention and the outcome of sepsis.Based on the host-response revealed from multiomics,the new idea of the endotype of sepsis was revealed from multiple perspectives,such as transcriptome,proteome,epigenome,and exosome signature spectrum,etc.In recent years,in the field of sepsis endotype,the research of clinical subtype,metabolic subtype,and immune subtype is booming.This concept has gradually penetrated into multiple aspects,including the diagnosis,severity assessment,patients screening for clinical research,and the reference for individualized clinical treatment.It brings a new perspective for clinical individualized treatment of sepsis.

Analysis of the Current Status and Prospects of Multi-Omics Technologies in the Field of Traditional Chinese Medicine / 中医杂志

Due to the complexity of traditional Chinese medicine （TCM） interventions and the diversity of herbal components， single-omics technologies such as genomics， transcriptomics， proteomics， and metabolomics often cannot comprehensively elucidate the scientific connotations of TCM. Multi-omics technologies driven by system biology can analyze the theoretical connotations and application mechanisms of TCM from different levels such as genes， gene expression， proteins， and metabolites， in line with the holistic view of TCM， which helps to promote the modernization of TCM. By reviewing the literature on the application of omics technologies in the field of TCM， it is found that multi-omics technologies have been widely used in TCM for syndrome differentiation， evaluation of herbal quality， elucidation of pharmacological mechanisms， and drug toxicity assessment， providing comprehensive explanations of the mechanisms of action of TCM and overcoming the limitations of single-omics technologies， and having obtained significant achievements. However， multi-omics technologies also face challenges such as high cost， difficulties in data analysis due to large data volumes， and insufficient translation of research results. In the future， it is expected that through strengthening interdisciplinary cooperation， conducting long-term and dynamic clinical research， standardizing and normalizing data analysis processes， adopting appropriate and reasonable multi-omics integration patterns， establishing multi-omics databases for TCM， revealing the individualized characteristics， therapeutic mechanisms， and disease regulatory networks of TCM， the modernization of TCM will be promoted.

Exploration on Characteristics of Acupoint Efficacy Based on the Self-developed ACU&MOX-DATA Platform / 中国中医药信息杂志

Objective To explore the effects of different acupoints,different target organs,and different interventions on acupoint efficacy based on ACU&MOX-DATA platform;To illustrate and visualize whether the above factors have the characteristics of"specific effect"or"common effect"of acupoint efficacy.Methods The multi-source heterogeneous data were integrated from the original omics data and public omics data.After standardization,differential gene analysis,disease pathology network analysis,and enrichment analysis were performed using Batch Search and Stimulation Mode modules in ACU&MOX-DATA platform under the conditions of different acupoints,different target organs,and different interventions.Results Under the same disease state and the same intervention,there were differences in effects among different acupoints;under the same disease state,the same acupoint and intervention,the responses produced by different target organs were not completely consistent;under the same disease state and acupoint,there were differences in effects among different intervention measures.Conclusion Based on the analysis of ACU&MOX-DATA platform,it is preliminary clear that acupoints,target organs,and interventions are the key factors affecting acupoint efficacy.Meanwhile,the above results have indicated that there are specific or common regulatory characteristics of acupoint efficacy.Applying ACU&MOX-DATA platform to analyze and visualize the critical scientific problems in the field of acupuncture and moxibustion can provide references for deepening acupoint cognition,guiding clinical acupoint selection,and improving clinical efficacy.

The role and regulatory mechanism of tissue and organ crosstalk on skeletal muscle development: a review / 生物工程学报

Skeletal muscle is one of the most important organs in animal, and the regulatory mechanism of skeletal muscle development is of great importance for the diagnosis of muscle-related diseases and the improvement of meat quality of livestock. The regulation of skeletal muscle development is a complex process, which is regulated by a large number of muscle secretory factors and signaling pathways. In addition, in order to maintain steady-state and maximum use of energy metabolism in the body, the body coordinates multiple tissues and organs to form the complex and sophisticated metabolic regulation network, which plays an important role for the regulation of skeletal muscle development. With the development of omics technologies, the underlying mechanism of tissue and organ communication has been deeply studied. This paper reviews the effects of crosstalk among adipose tissue, nerve tissue and intestinal tissue on skeletal muscle development, with the aim to provide a theoretical basis for targeted regulation of skeletal muscle development.

Advances in research methods for biosynthetic pathway analysis of active ingredients in traditional Chinese medicine / 中国中药杂志

The active ingredients in traditional Chinese medicine(TCM)are the foundation for the efficiency of TCM and the key to the formation of Dao-di herbs. It is of great significance to study the biosynthesis and regulation mechanisms of these active ingredients for analyzing the formation mechanism of Daodi herbs and providing components for the production of active ingredients in TCM by synthetic biology. With the advancements in omics technology, molecular biology, synthetic biology, artificial intelligence, etc., the analysis of biosynthetic pathways for active ingredients in TCM is rapidly progressing. New methods and technologies have promoted the analysis of the synthetic pathways of active ingredients in TCM and have also made this area a hot topic in molecular pharmacognosy. Many researchers have made significant progress in analyzing the biosynthetic pathways of active ingredients in TCM such as Panax ginseng, Salvia miltiorrhiza, Glycyrrhiza uralensis, and Tripterygium wilfordii. This paper systematically reviewed current research me-thods for analyzing the biosynthetic functional genes of active ingredients in TCM, elaborated the mining of gene elements based on multiomics technology and the verification of gene functions in plants in vitro and in vivo with candidate genes as objects. Additionally, the paper summarized new technologies and methods that have emerged in recent years, such as high-throughput screening, molecular probes, genome-wide association studies, cell-free systems, and computer simulation screening to provide a comprehensive reference for the analysis of the biosynthetic pathways of active ingredients in TCM.

Advances in biomarkers related to multi-omics of idiopathic short stature / 国际儿科学杂志

Idiopathic short stature(ISS)is a group of short stature with unclear etiology and pathogenesis, of which the cause is heterogeneous and complex, primarily due to a combination of genetic and environmental factors.ISS is generally exclusionary diagnosis due to the lack of specific symptoms, signs and biomarkers.Recently, with the development of various high-throughput detection technologies, the study of transcriptomics, proteomics, metabolomics, and microbiomics related to ISS has gradually become a hot topic, providing new ideas for elucidating the etiology, making an early diagnosis, and guiding treatment of ISS.In this paper, advances in the pathogenesis and early diagnosis of ISS by biomarkers associated with multi-omics are reviewed.

Dissecting the brain with spatially resolved multi-omics / 药物分析学报

Recent studies have highlighted spatially resolved multi-omics technologies,including spatial genomics,transcriptomics,proteomics,and metabolomics,as powerful tools to decipher the spatial heterogeneity of the brain.Here,we focus on two major approaches in spatial transcriptomics(next-generation sequencing-based technologies and image-based technologies),and mass spectrometry imaging tech-nologies used in spatial proteomics and spatial metabolomics.Furthermore,we discuss their applications in neuroscience,including building the brain atlas,uncovering gene expression patterns of neurons for special behaviors,deciphering the molecular basis of neuronal communication,and providing a more comprehensive explanation of the molecular mechanisms underlying central nervous system disorders.However,further efforts are still needed toward the integrative application of multi-omics technologies,including the real-time spatial multi-omics analysis in living cells,the detailed gene profile in a whole-brain view,and the combination of functional verification.

Integrative multi-omics and systems bioinformatics in translational neuroscience:A data mining perspective / 药物分析学报

Bioinformatic analysis of large and complex omics datasets has become increasingly useful in modern day biology by providing a great depth of information,with its application to neuroscience termed neuroinformatics.Data mining of omics datasets has enabled the generation of new hypotheses based on differentially regulated biological molecules associated with disease mechanisms,which can be tested experimentally for improved diagnostic and therapeutic targeting of neurodegenerative diseases.Importantly,integrating multi-omics data using a systems bioinformatics approach will advance the understanding of the layered and interactive network of biological regulation that exchanges systemic knowledge to facilitate the development of a comprehensive human brain profile.In this review,we first summarize data mining studies utilizing datasets from the individual type of omics analysis,including epigenetics/epigenomics,transcriptomics,proteomics,metabolomics,lipidomics,and spatial omics,pertaining to Alzheimer's disease,Parkinson's disease,and multiple sclerosis.We then discuss multi-omics integration approaches,including independent biological integration and unsupervised integra-tion methods,for more intuitive and informative interpretation of the biological data obtained across different omics layers.We further assess studies that integrate multi-omics in data mining which provide convoluted biological insights and offer proof-of-concept proposition towards systems bioinformatics in the reconstruction of brain networks.Finally,we recommend a combination of high dimensional bio-informatics analysis with experimental validation to achieve translational neuroscience applications including biomarker discovery,therapeutic development,and elucidation of disease mechanisms.We conclude by providing future perspectives and opportunities in applying integrative multi-omics and systems bioinformatics to achieve precision phenotyping of neurodegenerative diseases and towards personalized medicine.

Schisandra lignans ameliorate nonalcoholic steatohepatitis by regulating aberrant metabolism of phosphatidylethanolamines

Nonalcoholic steatohepatitis (NASH) is a spectrum of chronic liver disease characterized by hepatic lipid metabolism disorder. Recent reports emphasized the contribution of triglyceride and diglyceride accumulation to NASH, while the other lipids associated with the NASH pathogenesis remained unexplored. The specific purpose of our study was to explore a novel pathogenesis and treatment strategy of NASH via profiling the metabolic characteristics of lipids. Herein, multi-omics techniques based on LC-Q-TOF/MS, LC-MS/MS and MS imaging were developed and used to screen the action targets related to NASH progress and treatment. A methionine and choline deficient (MCD) diet-induced mouse model of NASH was then constructed, and Schisandra lignans extract (SLE) was applied to alleviate hepatic damage by regulating the lipid metabolism-related enzymes CES2A and CYP4A14. Hepatic lipidomics indicated that MCD-diet led to aberrant accumulation of phosphatidylethanolamines (PEs), and SLE could significantly reduce the accumulation of intrahepatic PEs. Notably, exogenous PE (18:0/18:1) was proved to significantly aggravate the mitochondrial damage and hepatocyte apoptosis. Supplementing PE (18:0/18:1) also deteriorated the NASH progress by up regulating intrahepatic proinflammatory and fibrotic factors, while PE synthase inhibitor exerted a prominent hepatoprotective role. The current work provides new insights into the relationship between PE metabolism and the pathogenesis of NASH.

Function, mechanism and drug discovery of ubiquitin and ubiquitin-like modification with multiomics profiling for cancer therapy

Ubiquitin (Ub) and ubiquitin-like (Ubl) pathways are critical post-translational modifications that determine whether functional proteins are degraded or activated/inactivated. To date, >600 associated enzymes have been reported that comprise a hierarchical task network (e.g., E1-E2-E3 cascade enzymatic reaction and deubiquitination) to modulate substrates, including enormous oncoproteins and tumor-suppressive proteins. Several strategies, such as classical biochemical approaches, multiomics, and clinical sample analysis, were combined to elucidate the functional relations between these enzymes and tumors. In this regard, the fundamental advances and follow-on drug discoveries have been crucial in providing vital information concerning contemporary translational efforts to tailor individualized treatment by targeting Ub and Ubl pathways. Correspondingly, emphasizing the current progress of Ub-related pathways as therapeutic targets in cancer is deemed essential. In the present review, we summarize and discuss the functions, clinical significance, and regulatory mechanisms of Ub and Ubl pathways in tumorigenesis as well as the current progress of small-molecular drug discovery. In particular, multiomics analyses were integrated to delineate the complexity of Ub and Ubl modifications for cancer therapy. The present review will provide a focused and up-to-date overview for the researchers to pursue further studies regarding the Ub and Ubl pathways targeted anticancer strategies.

Exploration on "Efficacy-toxicity" Association Mechanisms of Tripterygium wilfordii Polyglycoside Tablets Against Rheumatoid Arthritis Based on Multi-omics Integrated Regulatory Network / 中国实验方剂学杂志

ObjectiveTo explore the "efficacy-toxicity" association mechanisms of Tripterygium wilfordii polyglycoside tablets （TWPT） by establishing and analyzing an interaction network associated with the clinical efficacy of TWPT in the treatment of rheumatoid arthritis （RA） and TWPT-induced liver injury. MethodOn the basis of the TWPT efficacy-related gene expression profile and TWPT-induced liver injury-related protein expression profile which were both obtained from our clinical cohorts， the "efficacy-toxicity" association network of TWPT was constructed， and the key network targets were identified by calculating the topological values of the nodes， including the degree， closeness and betweenness. After that， the biological functions and pathways of the key network targets were investigated by enrichment analysis. ResultA total of 119 differentially expressed genes （58 up-regulated and 61 down-regulated） between RA patients with TWPT well and weak response were identified as TWPT efficacy-related genes by clinical transcriptomics， and 49 differentially expressed proteins （36 up-regulated and 13 down-regulated） were demonstrated to be TWPT-induced liver injury-related proteins by clinical proteomics. In addition， the clinical symptom enrichment analysis indicated that the TWPT efficacy-related genes were significantly associated with various clinical symptoms of arthralgia in traditional Chinese medicine and clinical phenotypes of modern medicine， and most of the TWPT-induced liver injury-related proteins were involved in digestive system abnormalities. Therefore， the aforementioned multi-omics data represented the main clinical symptoms of TWPT treating RA and inducing liver injury. Mechanically， the "efficacy-toxicity" association network revealed that both TWPT efficacy-related genes and TWPT-induced liver injury-related core proteins were involved in the "immune-inflammatory" imbalance， especially playing an important role in neutrophil degranulation， complement cascade reaction， and immune-inflammatory response mediated by protein post-translational modification. Notably， the above genes and proteins were also enriched in various signaling pathways related to cell proliferation and cell cycle regulation， such as RAS and mitogen-activated protein kinase （MAPK） signaling pathway， and in several liver functional processes， such as glycogen metabolism and redox reaction. ConclusionThis study systematically explained the "efficacy-toxicity" association characteristics and molecular mechanisms of TWPT by applying a research strategy integrating clinical phenomics， transcriptomics and proteomics， laying a good data foundation for exploring the "efficacy enhancing and toxicity-reducing" mechanisms of TWPT.

Application of emerging technologies for gut microbiome research

Microbiome is associated with a wide range of diseases. The gut microbiome is also a dynamic reflection of health status, which can be modified, thus representing great potential to exploit the mechanisms that influence human physiology. Recent years have seen a dramatic rise in gut microbiome studies, which has been enabled by the rapidly evolving high-throughput sequencing methods (i.e. 16S rRNA sequencing and shotgun sequencing). As the emerging technologies for microbiome research continue to evolve (i.e. metatranscriptomics, metabolomics, culturomics, synthetic biology), microbiome research has moved beyond phylogenetic descriptions and towards mechanistic analyses. In this review, we highlight different approaches to study the microbiome, in particular, the current limitations and future promise of these techniques. This review aims to provide clinicians with a framework for studying the microbiome, as well as to accelerate the adoption of these techniques in clinical practice.

Research and development practice of traditional Chinese medicine based on network target theory and technology / 中国中药杂志

Network targets theory and technology have transcended the limitations of the "single gene, single target" model, aiming to decipher the mechanisms of traditional Chinese medicine(TCM) based on biological network from the perspective of informatics and system. As the core of TCM network pharmacology, with the development of computer science and high-throughput experimental techniques, the network target theory and technology are beginning to exhibit a trend of organic integration with artificial intelligence technology and high-throughput multi-modal multi-omics experimental techniques. Taking the network target analysis of TCM like Yinqiao Qingre Tablets as a typical case, network target theory and technology have achieved the systematic construction, in-depth analysis, and high-throughput multi-modal multi-omics validation of multi-level biological networks spanning from traditional Chinese and Western phenotypes to tissues, cells, molecules, and traditional Chinese and Western medicines. This development helps to address critical issues in the analysis of mechanisms of TCM, including the discovery of key targets, identification of functional components, discovery of synergistic effects among compound ingredients, and elucidation of the regulatory mechanisms of formulae. It provides powerful theoretical and technological support for advancing clinical precision diagnosis and treatment, precise positioning of TCM, and precise research and development of TCM. Thus, a new paradigm of TCM research gradually emerges, combining big data and artificial intelligence(AI) with the integration of human experience and scientific evidence.

Immune-related Features of Esophageal Squamous Cell Carcinoma：A Multi-omics Perspective / 中山大学学报(医学科学版)

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.

Advancements in artificial intelligence and machine learning in revolutionising biomarker discovery

Abstract The article explores the significance of biomarkers in clinical research and the advantages of utilizing artificial intelligence (AI) and machine learning (ML) in the discovery process. Biomarkers provide a more comprehensive understanding of disease progression and response to therapy compared to traditional indicators. AI and ML offer a new approach to biomarker discovery, leveraging large amounts of data to identify patterns and optimize existing biomarkers. Additionally, the article touches on the emergence of digital biomarkers, which use technology to assess an individual's physiological and behavioural states, and the importance of properly processing omics and multi-omics data for efficient handling by computer systems. However, the article acknowledges the challenges posed by AI/ML in the identification of biomarkers, including potential biases in the data and the need for diversity in data representation. To address these challenges, the article suggests the importance of regulation and diversity in the development of AI/ML algorithms.

Progress in probiotics for treating Clostridioides difficile infection / 中华微生物学和免疫学杂志

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.

Progress of multi-genomics in small cell lung cancer / 肿瘤研究与临床

Multi-genomic sequencing research has opened the era of targeted precision medicine for non-small cell lung cancer (NSCLC). However, there are few genomic researches on small cell lung cancer (SCLC), and its pathogenesis and driver genes have not been clarified. Difficulties in obtaining tumor tissues, complex tumorigenic factors, rapid disease progression, and unclear mechanism of chemotherapy resistance are the main reasons for the hardly breakthrough in SCLC translational research. Therefore, multi-genomic sequencing research is particularly crucial for the integrated analysis of the genomic characteristics, identification of cancer driver genes and exploration of drug therapeutic targets of SCLC. This article analyzes the results of various published SCLC multi-genomic studies, and makes a preliminary discussion on their clinical relevance.

The Relationship Between the Gut Microbiome and Neurodegenerative Diseases / 神经科学通报·英文版

Many recent studies have shown that the gut microbiome plays important roles in human physiology and pathology. Also, microbiome-based therapies have been used to improve health status and treat diseases. In addition, aging and neurodegenerative diseases, including Alzheimer's disease and Parkinson's disease, have become topics of intense interest in biomedical research. Several researchers have explored the links between these topics to study the potential pathogenic or therapeutic effects of intestinal microbiota in disease. But the exact relationship between neurodegenerative diseases and gut microbiota remains unclear. As technology advances, new techniques for studying the microbiome will be developed and refined, and the relationship between diseases and gut microbiota will be revealed. This article summarizes the known interactions between the gut microbiome and neurodegenerative diseases, highlighting assay techniques for the gut microbiome, and we also discuss the potential therapeutic role of microbiome-based therapies in diseases.

Advances in basic and translational research in neuroendocrine neoplasms / 中华胃肠外科杂志

With the development of diagnostic techniques and the improvement of people's living standards, the detection rate of neuroendocrine tumor has been increasing and people are paying more and more attention to it. With multiple treatment modalities, the clinical research progress of neuroendocrine tumor is remarkable. However, due to the tumor heterogeneity, metastasis and recurrence of neuroendocrine tumor remains a difficult problem for clinicians. The efficacy of neuroendocrine tumor still needs to be improved. Therefore, the biological behavior of neuroendocrine tumor needs to be further studied. In recent years, with the development of molecular biology, the basic and transformation research of neuroendocrine tumor has made some progress. In this paper, we focus on the hot topics of neuroendocrine tumor, such as multiomics (copy number variation, genomics, transcriptomics), tumor microenvironment (immune microenvironment, tumor microvasculature, tumor-associated fibroblasts, etc.), preclinical research model construction (cell lines, organoids, patient derived xenograft models, genetically engineered mice), etc. Specifically, the related clinical transformation significance will be elaborated.