UFL1 ablation in T cells suppresses PD-1 UFMylation to enhance anti-tumor immunity

UFMylation is an emerging ubiquitin-like post-translational modification that regulates various biological processes. Dysregulation of the UFMylation pathway leads to human diseases, including cancers. However, the physiological role of UFMylation in T cells remains unclear. Here, we report that mice with conditional knockout (cKO) Ufl1, a UFMylation E3 ligase, in T cells exhibit effective tumor control. Single-cell RNA sequencing analysis shows that tumor-infiltrating cytotoxic CD8+ T cells are increased in Ufl1 cKO mice. Mechanistically, UFL1 promotes PD-1 UFMylation to antagonize PD-1 ubiquitination and degradation. Furthermore, AMPK phosphorylates UFL1 at Thr536, disrupting PD-1 UFMylation to trigger its degradation. Of note, UFL1 ablation in T cells reduces PD-1 UFMylation, subsequently destabilizing PD-1 and enhancing CD8+ T cell activation. Thus, Ufl1 cKO mice bearing tumors have a better response to anti-CTLA-4 immunotherapy. Collectively, our findings uncover a crucial role of UFMylation in T cells and highlight UFL1 as a potential target for cancer treatment.

Immunometabolic features of natural killer cells are associated with infection outcomes in critical illness

Immunosuppression increases the risk of nosocomial infection in patients with chronic critical illness. This exploratory study aimed to determine the immunometabolic signature associated with nosocomial infection during chronic critical illness. We prospectively recruited patients who were admitted to the respiratory care center and who had received mechanical ventilator support for more than 10 days in the intensive care unit. The study subjects were followed for the occurrence of nosocomial infection until 6 weeks after admission, hospital discharge, or death. The cytokine levels in the plasma samples were measured. Single-cell immunometabolic regulome profiling by mass cytometry, which analyzed 16 metabolic regulators in 21 immune subsets, was performed to identify immunometabolic features associated with the risk of nosocomial infection. During the study period, 37 patients were enrolled, and 16 patients (43.2%) developed nosocomial infection. Unsupervised immunologic clustering using multidimensional scaling and logistic regression analyses revealed that expression of nuclear respiratory factor 1 (NRF1) and carnitine palmitoyltransferase 1a (CPT1a), key regulators of mitochondrial biogenesis and fatty acid transport, respectively, in natural killer (NK) cells was significantly associated with nosocomial infection. Downregulated NRF1 and upregulated CPT1a were found in all subsets of NK cells from patients who developed a nosocomial infection. The risk of nosocomial infection is significantly correlated with the predictive score developed by selecting NK cell-specific features using an elastic net algorithm. Findings were further examined in an independent cohort of COVID-19-infected patients, and the results confirm that COVID-19-related mortality is significantly associated with mitochondria biogenesis and fatty acid oxidation pathways in NK cells. In conclusion, this study uncovers that NK cell-specific immunometabolic features are significantly associated with the occurrence and fatal outcomes of infection in critically ill population, and provides mechanistic insights into NK cell-specific immunity against microbial invasion in critical illness.

Spatial multi-omics analyses of the tumor immune microenvironment

In the past decade, single-cell technologies have revealed the heterogeneity of the tumor-immune microenvironment at the genomic, transcriptomic, and proteomic levels and have furthered our understanding of the mechanisms of tumor development. Single-cell technologies have also been used to identify potential biomarkers. However, spatial information about the tumor-immune microenvironment such as cell locations and cell–cell interactomes is lost in these approaches. Recently, spatial multi-omics technologies have been used to study transcriptomes, proteomes, and metabolomes of tumor-immune microenvironments in several types of cancer, and the data obtained from these methods has been combined with immunohistochemistry and multiparameter analysis to yield markers of cancer progression. Here, we review numerous cutting-edge spatial ‘omics techniques, their application to study of the tumor-immune microenvironment, and remaining technical challenges.

Gold nanoparticles (AuNP)-based aptasensor for enteropathogenic Escherichia coli detection

BACKGROUND

Diarrhea is a major cause of severe gastrointestinal illness in the infant especially in many developing countries. Although this molecular technique has been accepted as standard technique to detect Diarrhea-causing EPEC, the practical aspect of this technique for in-site rapid screening purposes is still facing a major challenge. In this study, we characterized EPEC specific aptamers and applied it as an AuNP-based aptasensor for point of care (POC) diagnosis purpose.

METHODS

As many as six selected DNA aptamers was screened using target bacteria and the bound aptamer was measured by qPCR technique. Moreover, Kd value for each optimal bound aptamer was measured by using the same technique. Colorimetry assay was applied to test specificity and LOD of AuNP-based aptasensor.

RESULTS

Two DNA aptamers have been successfully obtained to detect Enteropathogenic Escherichia coli K.1.1. DNA aptamer S8-7 exhibited constant dissociation (Kd) value of 17.08 nM, while DNA aptamer S10-5 exhibited Kd value of 34.14 nM. AuNP-based aptasensor showed high selectivity and specificity for EPEC K.1.1 with a limit of detection (LOD) value of 10⁵ CFU/mL. Truncation study on DNA aptamer S8-7 showed that elimination of primer binding sequence only slightly increased both performance of detection and LOD value of AuNP-based aptasensor.

CONCLUSION

Further study is necessary to improve AuNP-aptasensor performance such as through mutagenesis approach on targeted DNA aptamers before AuNP-based aptasensor can be applied as a biosensor in point of care (POC) diagnosis.

Isolation of DNA Aptamers for Enteropathogenic Escherichia coli (EPEC) Detection using Bacterial-SELEX Approach

Enteropathogenic Escherichia coli (EPEC) is a Gram-negative pathogenic bacterium that causes diarrheal disease, especially in infants and children. Aptamers are short chain oligonucleotides that have high affinity, specificity, and selectivity to their targets, which have potential to be developed as a method for diagnosing pathogens. In this study, aptamer was isolated through the Systematic Evolution of Ligands by Exponential Enrichment (SELEX) method using whole cells bacteria (Bacterial-SELEX) for recognizing pathogenic E. coli EPEC K1.1 which was isolated from children with diarrhea in Indonesia. Ten rounds of bacterial-SELEX procedure were conducted with modification conditions by using Top10, DH5a E. coli cells, Listeria monocytogenes, and Lactobacillus plantarum S34 as counter-selections. The selection process was started with a pool of ssDNA random library consisting of a random base with 40-nucleotides long flanked with fixed primers sequence for aptamer amplification purpose. Short single-stranded DNA amplification was done by symmetric and asymmetric PCR. The highly enriched oligonucleotide pools (pooled 8, 9, and 10) were cloned and the resulting ssDNA aptamers were identified by Sanger DNA sequencing. Finally, twelve aptamers with unique sequences and various secondary structures including G-quadruplex sequence motif within aptamers were obtained as candidates specific aptamer for detection and capturing of EPEC K1.1.

Oxidative stresses-mediated apoptotic effects of ginsenoside Rb1 on pre- and post-implantation mouse embryos in vitro and in vivo

Ginsenoside Rb1, the major saponin component of ginseng root, has a wide range of therapeutic application. Previous studies have established that ginsenoside Rb1 inhibits the cell cycle and induces apoptosis. However, its side-effects, particularly those on embryonic development, have not been well characterized to date. In the current study, we examined whether ginsenoside Rb1 exerts a cytotoxic effect on mouse embryos at the blastocyst stage, and affects subsequent embryonic development in vitro and in vivo. Blastocysts treated with 25-100 μg mL^-1 ginsenoside Rb1 exhibited significantly increased apoptosis and a corresponding decrease in total cell number. Notably, the implantation success rate of blastocysts pretreated with ginsenoside Rb1 was lower than that of their control counterparts. Moreover, in vitro treatment with 25-100 μg mL^-1 ginsenoside Rb1 was associated with increased resorption of post-implantation embryos and decreased fetal weight. In an in vivo model, intravenous injection with ginsenoside Rb1 (1, 3, 5 mg kg^-1 body weight/day) for 4 days resulted in apoptosis of blastocyst stage embryos and early embryonic developmental injury. In addition, ginsenoside Rb1 appeared to induce injury in mouse blastocysts through oxidative stresses-triggered intrinsic apoptotic signaling processes to impair sequent embryonic development. The collective results strongly indicate that ginsenoside Rb1 induces apoptosis and retards early pre- and post-implantation development of mouse embryos, both in vitro and in vivo. © 2016 Wiley Periodicals, Inc. Environ Toxicol 32: 1990-2003, 2017.

Dataset reporting detection of breast cancer-related HER2I655V polymorphism using allele-specific polymerase chain reaction

The dataset presented in this article is related to the research article entitled “Detection of HER2 Gene Polymorphism in Breast Cancer: PCR Optimization Study” (B.R. Budiarto, Desriani, 2016) [1] with some modification in primers used and in PCR optimization strategy to eliminate false-positive result that may occur in HER2^I655V polymorphism detection. Combining a new set of primers with PCR gradient, The allele-specific PCR well performs to detect all type of breast cancer-originated HER2^I655V genotypes. The validation of this method was done using Sanger DNA sequencing, offering an alternative tool for HER2^I655V polymorphism detection in another type of cancer.

Detection of HER2 Gene Polymorphism in Breast Cancer: PCR Optimization Study

Cancers are the most deadly diseases in the world and their incidences continue to increase over time. Particularly, breast cancer in females places 1^st rank among other types of cancers in term of cancer cases (23%) and death incidence (14%). Recent findings support the correlation between ^Ile655^Val SNP in the HER2 gene with breast cancer risk. Moreover, the ^Ile655^Val HER2 gene polymorphism could be a predictive factor in a neoadjuvant therapy setting. Precise detection of the ^Ile655^Val HER2 gene SNP in early breast cancer patients will be beneficial in designing the most suitable treatment and in increasing the efficacy of anticancer drugs. Here we develop a rapid and inexpensive method for ^Ile655^Val SNP detection in the HER2 gene based on allele-specific PCR technology. Two forward primers and one common reverse primer were designed to anneal specifically either on the HER2 gene fragment containing the GG genotype or to the HER2 gene fragment containing the AA genotype where one of these primers had been added with poly-GC at 5’ upstream. Moreover, to increase discrimination level, mismatch bases at the SNP site and the 3^rd base of each forward primers from 3’end were added. To test the performance of the designed primers in discriminating a polymorphism and its annealing temperature, breast cancer specimen-derived genomic DNA (with GG genotype) and pGEM_HER2/AA (with AA genotype) were used as templates in the PCR reaction. The optimal annealing temperature for SNP detection was at 51.5°C as showed by the appearance of a 150 base pair (bp) band as AA genotype (pGEM_HER2/AA template), 116bp band as GG genotype (genomic DNA template), and both types of bands as AG genotype (mix of pGEM_HER2/AA and genomic DNA template). Allelic types of breast cancer patients were also determined using this optimized method compared to sanger sequencing. The 100% accordance was shown for all types of genotypes in both methods. The allele-specific PCR in this study may have application in determining polymorphisms of the breast cancers-originated ^Ile655^Val HER2 gene.

Hepatitis C virus genotype in blood donors and associated liver disease in Indonesia

OBJECTIVE

The aim of this study was to investigate the distribution of hepatitis C virus (HCV) genotype and the possible association between genotype and HCV-associated liver disease in Indonesia.

METHODS

32 anti-HCV-positive asymptomatic carriers (AC), 55 chronic hepatitis (CH), 41 liver cirrhosis (LC), and 35 hepatocellular carcinoma (HCC) patients were included in this study. HCV genotyping was performed by phylogenetic analysis of the NS5B and 5'-UTR regions.

RESULTS

The HCV subtype 1b (36.5%), based on NS5B region, was the most prevalent, followed by subtypes 3k (15.4%), 2a (14.4%), 1a (12.5%) and 1c (12.5%), and 2e (4.8%). Subtypes 2f, 3a, 3b, and 4a were also found in some of the samples. HCV subtypes 3k (40.0%) and 1a (35.0%) were the two major subtypes in AC. HCV subtype 1b was not found in AC, but it was common in CH (31.3%), LC (50.0%), and HCC (57.1%).

CONCLUSION

HCV subtype 1b was prevalent in samples of HCV-associated liver disease patients, including CH, LC and HCC. The percentage of subtype 1b was increased with the disease severity (AC < CH < LC < HCC).