Expression and Clinical Significance of CLCA2 in Pan-Cancer / Expresión y Significado Clínico de CLCA2 en Pan-Cáncer

SUMMARY: The calcium-activated chloride channel (CLCA2) performs a vital function in the intricate process of tumorigenesis. Using a bioinformatics analysis system, we conducted a pan-cancer investigation on CLCA2 to explore its association with tumor prognosis and its involvement in immunology. In order to achieve this objective, we examined the prognostic significance and expression level of CLCA2 in multiple cancer types using the TIMER and Sangerbox databases. The analysis of protein interaction networks revealed proteins linked to CLCA2. To investigate the potential biological functions and enrichment pathways of CLCA2 in cancer, the SangerBox and GSCA databases were utilized. Furthermore, the expression of CLCA2 in different cancer subtypes was evaluated during the analysis. Various functional conditions of cancer cells were then compared with CLCA2 in the CancerSEA database. Using online tools like TISIDB and Assistant for Clinical Bioinformatics, the investigation explored the link between CLCA2 and immune subtypes. Additionally, it assessed immune cell infiltration as part of the analysis. In addition, the application of GDSA was employed to investigate the predictive significance of CLCA2 in relation to drug sensitivity. The research outcomes uncovered abnormal expression patterns of CLCA2 in diverse tumor categories, with its expression level demonstrating a correlation with distinct subtypes of tumors. Strong associations have been observed between enhanced patient survival rates and CLCA2 in specific tumor types. There is a noteworthy connection observed among diverse tumor types, immune cell infiltration, immune subtypes, and CLCA2. The enrichment analysis of KEGG indicates that there may exist a connection between the expression of CLCA2 and renin secretion, pancreatic secretion, as well as other pathways in pan-cancer. CLCA2 appears to primarily activate pathways such as EMT (epithelial-mesenchymal transition), RAS/MAPK, RTK, apoptosis, TSC/mTOR, and PI3K/ AKT in pan-cancer. On the other hand, it seems to inhibit pathways like cell cycle, DNA damage, hormone AR, and hormone ER. Through single-cell functional analysis, it has been confirmed that CLCA2 is associated with diverse cellular functional states, encompassing DNA repair, EMT, hypoxia, invasion, metastasis, and quiescence. Furthermore, a substantial correlation has been observed between the expression of CLCA2 and drug sensitivity towards bosutinib, tipifarnib-P1, as well as other therapeutic agents. This research affirms that various cancer types express CLCA2 and its involvement in tumor advancement and immune penetration. CLCA2 possesses the capability to function as a noteworthy biomarker and target for therapeutic intervention in diverse cancer forms.

El canal de cloruro activado por calcio (CLCA2) desempeña una función vital en el proceso de tumorigénesis. Utilizando un sistema de análisis bioinformático, llevamos a cabo una investigación pan-cáncer en CLCA2 para explorar su asociación con el pronóstico tumoral y su participación en la inmunología. Para lograr este objetivo, examinamos la importancia pronóstica y el nivel de expresión de CLCA2 en múltiples tipos de cáncer utilizando las bases de datos TIMER y Sangerbox. El análisis de las redes de interacción de proteínas reveló proteínas vinculadas a CLCA2. Para investigar las posibles funciones biológicas y las vías de enriquecimiento de CLCA2 en el cáncer, se utilizaron las bases de datos SangerBox y GSCA. Además, durante el análisis se evaluó la expresión de CLCA2 en diferentes subtipos de cáncer. Luego se compararon varias condiciones funcionales de las células cancerosas con CLCA2 en la base de datos CancerSEA. Utilizando herramientas en línea como TISIDB y Assistant for Clinical Bioinformatics, la investigación exploró el vínculo entre CLCA2 y los subtipos inmunes. Además, evaluó la infiltración de células inmunitarias como parte del análisis y se empleó la aplicación de GDSA para investigar la importancia predictiva de CLCA2 en relación con la sensibilidad al fármaco. Los resultados de la investigación descubrieron patrones de expresión anormales de CLCA2 en diversas categorías de tumores, y su nivel de expresión demuestra una correlación con distintos subtipos de tumores. Se han observado fuertes asociaciones entre mayores tasas de supervivencia de los pacientes y CLCA2 en tipos de tumores específicos. Se observa una conexión notable entre diversos tipos de tumores, infiltración de células inmunitarias, subtipos inmunitarios y CLCA2. El análisis de enriquecimiento de KEGG indica que puede existir una conexión entre la expresión de CLCA2 y la secreción de renina, la secreción pancreática y otras vías en el pancáncer. CLCA2 parece activar principalmente vías como EMT (transición epitelial-mesenquimatosa), RAS/MAPK, RTK, apoptosis, TSC/mTOR y PI3K/AKT en pan-cáncer. Por otro lado, parece inhibir vías como el ciclo celular, el daño del ADN, la hormona AR y la hormona ER. Mediante análisis funcional unicelular, se ha confirmado que CLCA2 está asociado con diversos estados funcionales celulares, que abarcan la reparación del ADN, la EMT, la hipoxia, la invasión, la metástasis y la inactividad. Además, se ha observado una correlación sustancial entre la expresión de CLCA2 y la sensibilidad al fármaco hacia bosutinib, tipifarnib-P1, así como a otros agentes terapéuticos. Esta investigación indica que varios tipos de cáncer expresan CLCA2 y su participación en el avance tumoral y la penetración inmune. CLCA2 posee la capacidad de funcionar como un biomarcador notable y como un objetivo para la intervención terapéutica en diversas formas de cáncer.

Clinical phenotype and genetic analysis of a fetus with Cardiac valvular dysplasia type 1 / 中华医学遗传学杂志

OBJECTIVE@#To explore the genetic basis for a fetus with Cardiac valvular dysplasia type 1 (CVDP1).@*METHODS@#A CVDP1 fetus identified at the Ningbo Women and Children's Hospital on July 7, 2022 was selected as the study subject. Clinical data of the fetus was collected. The fetus and its parents were subjected to trio-whole exome sequencing (trio-WES), and candidate variants were verified by Sanger sequencing.@*RESULTS@#The fetus had exhibited generalized edema, complex cardiac malformation, abdominal effusion, and enhanced intestinal and renal parenchymal echoes. Trio-WES revealed that it has harbored compound heterozygous variants of the PLD1 gene, namely c.2977C>T (p.R993*) and c.1460G>A (p.W487*), which were respectively inherited from its father and mother. Neither variant was reported previously. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the c.2977C>T (p.R993*) variant was evaluated to be likely pathogenic (PVS1_Moderate+PM2_Supporting+PM3+PP4), whilst the c.1460G>A (p.W487*) variant was evaluated to be pathogenic (PVS1+PM2_Supporting+PP4).@*CONCLUSION@#The c.2977C>T (p.R993*) and c.1460G>A (p.W487*) compound heterozygous variants of the PLD1 gene probably underlay the CVDP1 in the fetus. Above discovery has enriched the mutational spectrum of the PLD1 gene and provided a guidance for genetic counseling and prenatal diagnosis in this family.

Molecular classification of small cell lung cancer subtypes: Characteristics, prognostic factors, and clinical translation / 中华医学杂志(英文版)

Small cell lung cancer (SCLC) is a highly malignant tumor with a very poor prognosis; therefore, more effective treatments are urgently needed for patients afflicted with the disease. In recent years, emerging molecular classifications based on key transcription factors of SCLC have provided more information on the tumor pathophysiology, metastasis, immune microenvironment, and acquired therapeutic resistance and reflected the intertumoral heterogeneity of the various SCLC phenotypes. Additionally, advances in genomics and single-cell sequencing analysis have further revealed the high intratumoral heterogeneity and plasticity of the disease. Herein, we review and summarize these recent lines of evidence and discuss the possible pathogenesis of SCLC.

Implementación asistencial de estudios genómicos aplicados al diagnóstico molecular / Implementation of genomic studies applied to molecular diagnostics

El Hospital Garrahan ha sido pionero en el diagnóstico molecular de patologías pediátricas en Argentina. Los avances tecnológicos de las últimas décadas en el área de la biología molecular, sentaron las bases para la optimización y ampliación del diagnóstico molecular a partir de la secuenciación masiva en paralelo de múltiples genes. El presente trabajo describe el proceso de implementación de los estudios de secuenciación de nueva generación y el desarrollo de la Unidad de Genómica en un hospital público pediátrico de alta complejidad, así como su impacto en las capacidades diagnósticas de enfermedades poco frecuentes de origen genético. La creación del Grupo Interdisciplinario de Estudios Genómicos constituyó la vía institucional para la toma de decisiones que implican la implementación de nuevos estudios genómicos y el establecimiento de prioridades diagnósticas, extendiendo la disponibilidad del diagnóstico molecular a más disciplinas. La Unidad de Genómica trabaja en diseñar las estrategias que permitan la mayor optimización de los recursos con los que cuenta el hospital, teniendo en cuenta el equipamiento disponible, las prioridades establecidas y la frecuencia de las distintas patologías. Se demuestra el salto significativo operado en nuestras capacidades diagnósticas, tanto en la variedad de enfermedades como en el número de genes analizados, habiendo estudiado a la fecha alrededor de 2.000 pacientes, muchos de los cuales ven de este modo finalizada su odisea diagnóstica. Los estudios de NGS se han convertido en una herramienta de la práctica diaria para la atención de un número importante de pacientes de nuestro hospital. Continuaremos trabajando para ampliar su aplicación a la mayor cantidad de patologías, a través de los mecanismos institucionales ya existentes (AU)

The Garrahan Hospital has been a pioneer in the molecular diagnosis of pediatric diseases in Argentina. The technological advances of the last decades in the area of molecular biology have laid the foundations for the optimization and expansion of molecular diagnostics through massive parallel sequencing of multiple genes. This study describes the process of implementation of next-generation sequencing studies and the development of the Genomics Unit in a public pediatric tertiary hospital, and its impact on the capacity to diagnose rare diseases of genetic origin. The creation of the Interdisciplinary Group of Genomic Studies constituted the institutional pathway for decision-making involving the implementation of new genomic studies and the establishment of diagnostic priorities, extending the availability of molecular diagnostics to additional disciplines. The Genomics Unit is working to design strategies that allow for optimization of the resources available to the hospital, taking into account the equipment available, the priorities established, and the frequency of the different diseases. It demonstrates the significant leap in our diagnostic capabilities, both in the variety of diseases and in the number of genes analyzed. To date, around 2,000 patients have been studies, many of whom have thus completed their diagnostic odyssey. NGS studies have become a tool in daily practice for the care of a significant number of patients in our hospital. We will continue working to expand its application to as many diseases as possible, through the existing institutional mechanisms (AU)

Analysis of genetic variant in a child with Aspartylglucosaminuria / 中华医学遗传学杂志

OBJECTIVE@#To explore the genetic basis for a child with Aspartylglucosaminuria (AGU).@*METHODS@#Clinical data of the patient was analyzed. The child was subjected to trio-whole exome sequencing (WES) and copy number variation sequencing (CNV-seq), and candidate variant was verified by Sanger sequencing.@*RESULTS@#The child was found to harbor homozygous c.319C>T (p.Arg107*) nonsense variant of the AGA gene, for which both of his parents were heterozygous carriers. No abnormality was found by CNV-seq analysis. The c.319C>T (p.Arg107*) variant was not found in population database, HGMD and other databases. Based on guidelines of the American College of Medical Genetics and Genomics, the variant was predicted to be pathogenic (PVS1+PM2+PP3).@*CONCLUSION@#The c.319C>T variant of the AGA gene probably underlay the autosomal recessive AGU in this child. Above finding has enabled genetic counseling and prenatal diagnosis for his parents.

Analysis of the characteristics of SPTB gene variants among 16 children with Hereditary spherocytosis / 中华医学遗传学杂志

OBJECTIVE@#To analyze the clinical characteristics and spectrum of SPTB gene variants among 16 Chinese children with Hereditary spherocytosis (HS) and explore their genotype-phenotype correlation.@*METHODS@#Sixteen children who were diagnosed with HS at the Affiliated Hospital of Capital Institute of Pediatrics from November 2018 to July 2022 were selected as the research subjects. Genetic testing was carried out by whole exome sequencing. Candidate variants were verified by Sanger sequencing and subjected to bioinformatic analysis and prediction of 3D structure of the protein. Correlation between the SPTB genotypes and clinical phenotypes was analyzed using Chi-squared test.@*RESULTS@#The male-to-female ratio of the HS patients was 6 : 10, with the median age being 7-year-and-10-month. Clinical features of the patients have included anemia, reticulocytosis and gradual onset of splenomegaly. Mild, moderate and severe anemia have respectively occurred in 56.25% (9/16), 31.25% (5/16) and 12.50% (2/16) of the patients. SPTB gene variants were detected in all patients, among which 10 were unreported previously and 7 were de novo in origin. Loss of function (LOF) variants accounted for 93.75% (15/16). Only one missense variant was detected. Eleven, 4 and 1 of the variants had occurred in the repeat domain, CH1 domain, and dimerization domain, respectively. There was no significant correlation between the type or domain of the SPTB gene variants with the clinical features such as severity of anemia (x² = 3.345, P > 0.05). All of the variants were predicted to be pathogenic or likely pathogenic based on the guidelines from the American College of Medical Genetics and Genomics.@*CONCLUSION@#Mild to moderate anemia are predominant clinical features of the HS children harboring a SPTB gene variant, for which LOF variants are the main mutational type. The clinical feature of HS is unaffected by the type of the variants.

Analysis of genetic variants in a patient with Familial hemophagocytic lymphohistiocytosis / 中华医学遗传学杂志

OBJECTIVE@#To explore the genetic basis for a patient with Familial hemophagocytic lymphohistiocytosis (FHL).@*METHODS@#A 35-day-old male infant who was admitted to the Oriental Hospital Affiliated to Xiamen University on August 3, 2021 due to fever for over 7 hours was selected as the study subject. Whole exome sequencing (WES) was carried out for the proband and his parents, and candidate variants were selected based on the clinical phenotypes of the proband and confirmed by Sanger sequencing.@*RESULTS@#WES and Sanger sequencing results revealed that the proband had harbored compound heterozygous c.67_71delinsGCCC and c.65delC variants of the PRF1 gene, which were respectively inherited from his mother and father. The c.67_71delinsGCCC variant was unreported previously. Based on the guidelines of American College of Medical Genetics and Genomics and clinical manifestations, it was classified as pathogenic (PVS1+PM2_Supporting+PM3+PP4). c.65delC was a known pathogenic variant (PVS1+PM2_Supporting+PM3_Strong+PP4).@*CONCLUSION@#The compound heterozygous variants of c.67_71delinsGCCC and c.65delC of the PRF1 gene probably underlay the disease in the proband. The identification of the novel variant has expanded the mutational spectrum of the PRF1 gene.

A case of dilated cardiomyopathy caused by FHL2 gene variant and a literature review / 中华医学遗传学杂志

OBJECTIVE@#To explore the clinical phenotype and genetic features of a child with dilated cardiomyopathy (DCM).@*METHODS@#Clinical data of the child who had presented at the Zhengzhou Children's Hospital on April 28, 2020 was collected. Trio-whole exome sequencing (trio-WES) was carried out for the child and her parents, and candidate variants were validated by Sanger sequencing. "FHL2" was taken as the key word to retrieve related literature from January 1, 1997 to October 31, 2021 in the PubMed database and was also searched in the ClinVar database as a supplement to analyze the correlation between genetic variants and clinical features.@*RESULTS@#The patient was a 5-month-old female infant presented with left ventricular enlargement and reduced systolic function. A heterozygous missense variant c.391C>T (p.Arg131Cys) in FHL2 gene was identified through trio-WES. The same variant was not detected in either of her parents. A total of 10 patients with FHL2 gene variants have been reported in the literature, 6 of them had presented with DCM, 2 with hypertrophic cardiomyopathy (HCM), and 2 with sudden unexplained death (SUD). Phenotypic analysis revealed that patients with variants in the LIM 3 domain presented hypertrophic cardiomyopathy and those with variants of the LIM 0~2 and LIM 4 domains had mainly presented DCM. The c.391C>T (p.Arg131Cys) has been identified in a child with DCM, though it has not been validated among the patient's family members. Based on the guidelines of the American College of Medical Genetics and Genomics, the c.391C>T(p.Arg131Cys) variant was re-classified as likely pathogenic (PS2+PM2_Supporting+PP3+PP5).@*CONCLUSION@#The heterozygous missense variant of c.391C>T (p.Arg131Cys) in the FHL2 gene probably predisposed to the DCM in this child, which has highlighted the importance of WES in the clinical diagnosis and genetic counseling.

Multi-omics approaches for revealing the etiology of cancer: from genomics, exposomics, metabolomics to system epidemiology / 中华流行病学杂志

Identifying risk factors of the disease are one of the main tasks of epidemiology. With the advancement of omics technologies (e.g., genome, transcriptome, proteome, metabolome, and exposome), cancer etiology research has entered the stage of systems epidemiology. Genomic research identifies cancer susceptibility loci and uncovers their biological mechanisms. Exposomic research investigates the impact of environmental factors on biological processes and disease risks. The metabolome is downstream of biological regulatory networks, reflecting the effects of the gene, environment, and their interactions, which can help elucidate the biological mechanisms of genetic and environmental risk factors and identify new biomarkers. Here, we reviewed the applications of genomic, exposomic, and metabolomic studies in the etiologic research on cancer. We summarized the importance of multi-omics approaches and systems epidemiology in cancer etiology research and outlined future perspectives.

Genomics of next generation sequencing in pediatric B-acute lymphoblastic leukemia and its impact on minimal residual disease / 中华儿科杂志

Objective: To describe the gene mutation profile of newly diagnosed pediatric B-acute lymphoblastic leukemia (B-ALL) and analyze its effect on minimal residual disease (MRD). Methods: A total of 506 newly diagnosed B-ALL children treated in Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences from September 2018 to July 2021 were enrolled in this retrospective cohort study. The enrolled children were divided into MRD ≥1.00% group and <1.00% group according to MRD results on the 19th day since chemotherapy, and MRD ≥0.01% group and <0.01% group according to MRD results on the 46th day. Clinical characteristics and gene mutations of two groups were compared. Comparisons between groups were performed with chi-square test or Fisher's exact test. Independent risk factors of MRD results on the 19th day and the 46th day were analyzed by Logistic regression model. Results: Among all 506 patients, there were 318 males and 188 females. On the 19th day, there were 114 patients in the MRD ≥1.00% group and 392 patients in the MRD <1.00% group. On the 46th day, there were 76 patients in the MRD ≥0.01% group and 430 patients in the MRD <0.01% group. A total of 187 gene mutations were detected in 487 (96.2%) of 506 children. The most common gene mutations were signal transduction-related KRAS gene mutations in 111 cases (22.8%) and NRAS gene mutations in 99 cases (20.3%). Multivariate analysis showed that PTPN11 (OR=1.92, 95%CI 1.00-3.63), KMT2A (OR=3.51, 95%CI 1.07-11.50) gene mutations and TEL-AML1 (OR=0.48, 95%CI 0.27-0.87), BCR-ABL1 (OR=0.27, 95%CI 0.08-0.92) fusion genes and age >10 years (OR=1.91, 95%CI 1.12-3.24) were independent influencing factors for MRD ≥1.00% on the 19th day. BCORL1 (OR=2.96, 95%CI 1.18-7.44), JAK2 (OR=2.99, 95%CI 1.07-8.42) and JAK3 (OR=4.83, 95%CI 1.50-15.60) gene mutations and TEL-AML1 (OR=0.43, 95%CI 0.21-0.87) fusion gene were independent influencing factors for MRD ≥0.01% on the 46th day. Conclusions: Children with B-ALL are prone to genetic mutations, with abnormalities in the RAS signaling pathway being the most common. Signal transduction related PTPN11, JAK2 and JAK3 gene mutations, epigenetic related KMT2A gene mutation and transcription factor related BCORL1 gene mutation are independent risk factors for MRD.

Proteome and genome integration analysis of obesity / 中华医学杂志(英文版)

The prevalence of obesity has increased worldwide in recent decades. Genetic factors are now known to play a substantial role in the predisposition to obesity and may contribute up to 70% of the risk for obesity. Technological advancements during the last decades have allowed the identification of many hundreds of genetic markers associated with obesity. However, the transformation of current genetic variant-obesity associations into biological knowledge has been proven challenging. Genomics and proteomics are complementary fields, as proteomics extends functional analyses. Integrating genomic and proteomic data can help to bridge a gap in knowledge regarding genetic variant-obesity associations and to identify new drug targets for the treatment of obesity. We provide an overview of the published papers on the integrated analysis of proteomic and genomic data in obesity and summarize four mainstream strategies: overlap, colocalization, Mendelian randomization, and proteome-wide association studies. The integrated analyses identified many obesity-associated proteins, such as leptin, follistatin, and adenylate cyclase 3. Despite great progress, integrative studies focusing on obesity are still limited. There is an increased demand for large prospective cohort studies to identify and validate findings, and further apply these findings to the prevention, intervention, and treatment of obesity. In addition, we also discuss several other potential integration methods.

Advances in genomics of multi-drug resistant Stenotrophomonas / 生物工程学报

Stenotrophomonas species are non-fermentative Gram-negative bacteria that are widely distributed in environment and are highly resistant to numerous antibiotics. Thus, Stenotrophomonas serves as a reservoir of genes encoding antimicrobial resistance (AMR). The detection rate of Stenotrophomonas is rapidly increasing alongside their strengthening intrinsic ability to tolerate a variety of clinical antibiotics. This review illustrated the current genomics advances of antibiotic resistant Stenotrophomonas, highlighting the importance of precise identification and sequence editing. In addition, AMR diversity and transferability have been assessed by the developed bioinformatics tools. However, the working models of AMR in Stenotrophomonas are cryptic and urgently required to be determined. Comparative genomics is envisioned to facilitate the prevention and control of AMR, as well as to gain insights into bacterial adaptability and drug development.

Chloroplast genomic characterization and phylogenetic analysis of Pellionia scabra / 生物工程学报

Pellionia scabra belongs to the genus Pellionia in the family of Urticaceae, and is a high-quality wild vegetables with high nutritional value. In this study, high-throughput techniques were used to sequence, assemble and annotate the chloroplast genome. We also analyzed its structure, and construct the phylogenetic trees from the P. scabra to further study the chloroplast genome characteristics. The results showed that the chloroplast genome size was 153 220 bp, and the GC content was 36.4%, which belonged to the typical tetrad structure in P. scabra. The chloroplast genome encodes 130 genes, including 85 protein-coding genes, 37 tRNA genes, and 8 rRNA genes in P. scabra. Among them, 15 genes contained 1 intron, 2 genes contained 2 introns, and rps12 had trans-splicing, respectively. In P. scabra, chloroplast genomes could be divided into four categories, including 43 photosynthesis, 64 self-replication, other 7 coding proteins, and 4 unknown functions. A total of 51 073 codons were detected in the chloroplast genome, among which the codon encoding leucine (Leu) accounted for the largest proportion, and the codon preferred to use A and U bases. There were 72 simple sequence repeats (SSRs) in the chloroplast genome of P. scabra, containing 58 single nucleotides, 12 dinucleotides, 1 trinucleotide, and 1 tetranucleotide. The ycf1 gene expansion was present at the IRb/SSC boundary. The phylogenetic trees showed that P. scabra (OL800583) was most closely related to Elatostema stewardii (MZ292972), Elatostema dissectum (MK227819) and Elatostema laevissimum var. laevissimum (MN189961). Taken together, our results provide worthwhile information for understanding the identification, genetic evolution, and genomics research of P. scabra species.

How data science and AI-based technologies impact genomics

Advancements in high-throughput sequencing have yielded vast amounts of genomic data, which are studied using genome-wide association study (GWAS)/phenome-wide association study (PheWAS) methods to identify associations between the genotype and phenotype. The associated findings have contributed to pharmacogenomics and improved clinical decision support at the point of care in many healthcare systems. However, the accumulation of genomic data from sequencing and clinical data from electronic health records (EHRs) poses significant challenges for data scientists. Following the rise of artificial intelligence (AI) technology such as machine learning and deep learning, an increasing number of GWAS/PheWAS studies have successfully leveraged this technology to overcome the aforementioned challenges. In this review, we focus on the application of data science and AI technology in three areas, including risk prediction and identification of causal single-nucleotide polymorphisms, EHR-based phenotyping and CRISPR guide RNA design. Additionally, we highlight a few emerging AI technologies, such as transfer learning and multi-view learning, which will or have started to benefit genomic studies.

Genomic structure of varicella-zoster virus and its vaccine application status / 中华预防医学杂志

With the determination of the whole genome sequence of varicella-zoster virus (VZV) virus, the successful breakthrough of infectious cloning technology of VZV, and the emergence of effective preventive vaccines, which have been proven to be effective and safe, varicella has become a disease preventable by specific immunity. This article will review the genomic structure, epidemiological characteristics, and research application progress of varicella vaccine and herpes zoster vaccine of varicella zoster virus to provide reference for primary prevention of the disease.

Genomic epidemiology of Vibrio parahaemolyticus from acute diarrheal patients in Shenzhen City from 2013 to 2021 / 中华预防医学杂志

Objective: To characterize the prevalence and genomic epidemiology of Vibrio parahaemolyticus from acute diarrheal patients in Shenzhen City from 2013 to 2021. Methods: Based on the Shenzhen Infectious Diarrhea Surveillance System, acute diarrheal patients were actively monitored in sentinel hospitals from 2013 to 2021. Whole-genome sequencing (WGS) of Vibrio parahaemolyticus isolates was performed, and the genomic population structure, serotypes, virulence genes and multilocus sequence typing were analyzed. Outbreak clusters from 2019 to 2021 were explored based on single-nucleotide polymorphism analysis. Results: A total of 48 623 acute diarrhea cases were monitored in 15 sentinel hospitals from 2013 to 2021, and 1 135 Vibrio parahaemolyticus strains were isolated, with a positive isolation rate of 2.3%. Qualified whole-genome sequencing data of 852 isolates were obtained. Eighty-nine serotypes, 21 known ST types and 5 new ST types were identified by sequence analysis, and 93.2% of strains were detected with toxin profile of tdh+trh-. 8 clonal groups (CGs) were captured, with CG3 as the absolute predominance, followed by CG189. The CG3 group was dominated by O3:K6 serotype and ST3 sequence type, while CG189 group was mainly O4:KUT, O4:K8 serotypes and ST189a and ST189 type. A total of 13 clusters were identified, containing 154 cases. About 30 outbreak clusters with 29 outbreak clusters caused by CG3 strains from 2019 to 2021. Conclusion: Vibrio parahaemolyticus is a major pathogen of acute infectious diarrhea in Shenzhen City, with diverse population structures. CG3 and CG189 have been prevalent and predominant in Shenzhen City for a long time. Scattered outbreaks and persistent sources of contamination ignored by traditional methods could be captured by WGS analysis. Tracing the source of epidemic clone groups and taking precise prevention and control measures are expected to significantly reduce the burden of diarrhea diseases caused by Vibrio parahaemolyticus infection in Shenzhen City.

Chloroplast genomic characterization and phylogenetic analysis of Castanopsis hystrix / 生物工程学报

The structure and size of the chloroplast genome of Castanopsis hystrix was determined by Illumina HiSeq 2500 sequencing platform to understand the difference between C. hystrix and the chloroplast genome of the same genus, and the evolutionary position of C. hystrix in the genus, so as to facilitate species identification, genetic diversity analysis and resource conservation of the genus. Bioinformatics analysis was used to perform sequence assembly, annotation and characteristic analysis. R, Python, MISA, CodonW and MEGA 6 bioinformatics software were used to analyze the genome structure and number, codon bias, sequence repeats, simple sequence repeat (SSR) loci and phylogeny. The genome size of C. hystrix chloroplast was 153 754 bp, showing tetrad structure. A total of 130 genes were identified, including 85 coding genes, 37 tRNA genes and 8 rRNA genes. According to codon bias analysis, the average number of effective codons was 55.5, indicating that the codons were highly random and low in bias. Forty-five repeats and 111 SSR loci were detected by SSR and long repeat fragment analysis. Compared with the related species, chloroplast genome sequences were highly conserved, especially the protein coding sequences. Phylogenetic analysis showed that C. hystrix is closely related to the Hainanese cone. In summary, we obtained the basic information and phylogenetic position of the chloroplast genome of red cone, which will provide a preliminary basis for species identification, genetic diversity of natural populations and functional genomics research of C. hystrix.

Biosynthesis of steroidal intermediates using Mycobacteria: a review / 生物工程学报

Steroids are a class of medicines with important physiological and pharmacological effects. In pharmaceutical industry, steroidal intermediates are mainly prepared through Mycobacteria transformation, and then modified chemically or enzymatically into advanced steroidal compounds. Compared with the "diosgenin-dienolone" route, Mycobacteria transformation has the advantages of abundant raw materials, cost-effective, short reaction route, high yield and environmental friendliness. Based on genomics and metabolomics, the key enzymes in the phytosterol degradation pathway of Mycobacteria and their catalytic mechanisms are further revealed, which makes it possible for Mycobacteria to be used as chassis cells. This review summarizes the progress in the discovery of steroid-converting enzymes from different species, the modification of Mycobacteria genes and the overexpression of heterologous genes, and the optimization and modification of Mycobacteria as chassis cells.

Multiomics and Multidimensional Testing for Efficacy Monitoring of Patients with Lymphoma / 中国实验血液学杂志

OBJECTIVE@#To explore the role of a new blood-based, multiomics and multidimensional method for evaluating the efficacy of patients with lymphoma.@*METHODS@#10 ml peripheral blood was extracted from each patient, and the genomic copy number aberrations (CNA) and fragment size (FS) were evaluated by low-depth whole genome sequencing of cfDNA, and the level of a group of plasma tumor marker (PTM) were detected at the same time. The cancer efficacy score (CES) was obtained by standardized transformation of the value of above three numerical indexes, and the changes of CES before and after treatment were compared to evaluate the patient's response to the treatment regimen.@*RESULTS@#A total of 35 patients' baseline data were collected, of which 23 cases (65.7%) had elevated CES values. 18 patients underwent the first time test. The results showed that the CES value of 9 patients with positive baseline CES decreased significantly at the first test, and the efficacy evaluation was PR, which was highly consistent with the imaging evaluation results of the same period. At the same time, the CNA variation spectrum of all patients were evaluated and it was found that 23 patients had partial amplification or deletion of chromosome fragments. The most common amplification site was 8q24.21, which contains important oncogenes such as MYC. The most common deletion sites were 1p36.32, 4q21.23, 6q21, 6q27, 14q32.33, and tumor suppressor-related genes such as PRDM1, ATG5, AIM1, FOXO3 and HACE1 were expressed in the above regions, so these deletions may be related to the occurrence and development of lymphoma.@*CONCLUSION@#With the advantages of more convenience, sensitivity and non-invasive, this multiomics and multidimensional efficacy detection method can evaluate the tumor load of patients with lymphoma at the molecular level, and make more accurate efficacy evaluation, which is expected to serve the clinic better.