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Objectives: To evaluate the neutralizing antibody (NAb) levels against the SARS-CoV-2 Omicron variants BF.7, BQ.1, BQ.1.1, XBB.1, and XBB.1.5 after vaccination and natural infection. Methods: The NAbs against the different viral strains of 490 individuals with SARS-CoV-2 and 187 without SARS-CoV-2 in the Beijing COVID-19 outbreak during December 2022 to January 2023 were analyzed. Results: In uninfected individuals, limited levels of NAbs were produced against the prototype and variant strains after two doses vaccine but significantly increased after three or four doses of the vaccine. The infected individuals had high NAbs levels against the BF.7, BQ.1, and BQ.1.1 variants and moderate NAbs levels against the XBB.1 and XBB.1.5 variants. The highest NAbs levels were observed after two inoculation doses. The third and fourth doses vaccine did not result in a significant increase the NAbs levels. After the last dose of vaccination, the NAbs levels peaked at 12 months for the prototype and BF.7 and between 6 to 12 months for the BQ.1, BQ.1.1, XBB.1, and XBB.1.5 variants. Conclusions: The immune response decreases as the virus mutates. If booster vaccination is considered necessary, it is suggested for at least 6 months after infection.

Objectives: To determine the status of immune responses after primary and booster immunization for SARS-CoV-2 variants and evaluate the differences in disease resistance based upon titers of neutralizing antibodies (NAbs) against the variants. Methods: Participants aged 18–59 years received 2 doses of inactivated COVID-19 vaccine, 14 days apart, and a booster dose after 12 months. Blood samples were collected before vaccination (baseline), 1 and 6 months after primary immunization, and at multiple instances within 21 days of the booster dose. NAbs against the spike protein of Wuhan-Hu-1 and 3 variants were measured using pseudovirus neutralization assays. Results: Of 400 enrolled participants, 387 completed visits scheduled within 6 months of the second dose and 346 participants received the booster dose in the follow-up research. After 1 month of primary immunization, geometric mean titers (GMTs) of NAbs peaked for Wuhan-Hu-1, whereas GMTs of other variants were

Background: H3K27me3 modification inactivates gene transcription by resulting in condensed chromatin. However, the landscape and biological functions of H3K27me3 in breast cancer remain unclear. Methods: Fluorescence enzyme assay was used to analyze the cell proliferation. Transwell assay was used to test the ability of migration and invasion in MDA-MB-231 cells with designed treatment. Transfection of exogenous plasmid was used to intervene specific gene expression. Nude mouse tumor xenograft model was employed to detect the effect of GSKJ-4 in vivo. ChIP-Seq analyzed the modification state of H3K27me3 around the TSS of the gene CEMIP. RNA-Seq was used to analyze the mRNA levels after treating with GSKJ-4 in MDA-MB-231 cells. Results: Loss of H3K27me3 is specific for aggressive subtypes of breast cancer and may be a useful diagnostic marker. Epigenetic chemical screening identified histone H3K27me3 demethylation inhibition as a therapeutic strategy for triple-negative breast cancer (TNBC). Functional studies and RNA-seq/ChIP-seq data revealed that inactivation of the protein CEMIP (which is translated by oncogene KIAA1199) by increasing H3K27me3 leads to decreased tumor cell growth and migration. Moreover, survival analysis showed that CEMIP was associated with poor outcome in TNBC. Conclusions: Our data suggest H3K27me3 loss as an important event in CEMIP mediated breast cancer carcinogenesis and progression. Loss of H3K27me3 is specific for aggressive subtypes of breast cancer and may be a useful diagnostic marker.

Background: Tuberculosis (TB) continues to be a critical global health problem, which killed millions of lives each year. Certain circulating cell subsets are thought to differentially modulate the host immune response towards Mycobacterium tuberculosis (Mtb) infection, but the nature and function of these subsets is unclear. Methods: Peripheral blood mononuclear cells (PBMC) were isolated from healthy controls (HC), latent tuberculosis infection (LTBI) and active tuberculosis (TB) and then subjected to single-cell RNA sequencing (scRNA-seq) using 10 × Genomics platform. Unsupervised clustering of the cells based on the gene expression profiles using the Seurat package and passed to tSNE for clustering visualization. Flow cytometry was used to validate the subsets identified by scRNA-Seq. Findings: Cluster analysis based on differential gene expression revealed both known and novel markers for all main PBMC cell types and delineated 29 cell subsets. By comparing the scRNA-seq datasets from HC, LTBI and TB, we found that infection changes the frequency of immune-cell subsets in TB. Specifically, we observed gradual depletion of a natural killer (NK) cell subset (CD3-CD7+GZMB+) from HC, to LTBI and TB. We further verified that the depletion of CD3-CD7+GZMB+ subset in TB and found an increase in this subset frequency after anti-TB treatment. Finally, we confirmed that changes in this subset frequency can distinguish patients with TB from LTBI and HC. Interpretation: We propose that the frequency of CD3-CD7+GZMB+ in peripheral blood could be used as a novel biomarker for distinguishing TB from LTBI and HC. Fund: The study was supported by Natural Science Foundation of China (81770013, 81525016, 81772145, 81871255 and 91942315), National Science and Technology Major Project (2017ZX10201301), Science and Technology Project of Shenzhen (JCYJ20170412101048337) and Guangdong Provincial Key Laboratory of Regional Immunity and Diseases (2019B030301009). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Keyword: Tuberculosis, Single-cell RNA sequencing, CD3-CD7+GZMB+, NK cells

Plant residue input plays a vital role in cropland carbon (C) balance, which can be greatly affected by climate change. Our knowledge of the effect of plant residue on soil respiration is crucial for evaluating C exchange between the atmosphere and terrestrial ecosystems, but large uncertainties remain in the effect of plant input on the temperature sensitivity (Q10) of soil organic C (SOC) decomposition in cropland ecosystems. Here, soils were sampled from two bare fallow plots (including a Mollisol and an Alfisol with different climate and land-use history) and their adjacent old field plots, and were incubated at 10 °C and 20 °C for 815 days. The ‘equal-time’, ‘equal-C’, ‘one-pool model’ and ‘two-pool model’ methods were used to evaluate the Q10 of SOC decomposition. Results indicated that in the early stage of incubation, exclusion of plant input increased the Q10 (Alfisol) or had minor effect on the Q10 (Mollisol), which may be related to the interactions between substrate quality decrease (increase of chemical stability) and clay mineral suppression on microbial decomposition. However, in the later stage of incubation, plant residue removal decreased the Q10 values in both soils possibly due to the limitation of substrate availability on microbial decomposition. Overall, the role of plant input in the temperature sensitivity of SOC decomposition should be considered when predicting SOC stocks in a future warmer world.